Vaccination and COVID-19: impact on long-COVID

Long- and post-COVID-19 syndromes have emerged as a significant global health challenge, with millions of individuals experiencing persistent or the development of new symptoms after a long period of an initial SARS-CoV-2 infection. These symptoms are multisystemic and may indicate changes in the respiratory, neurological, cardiovascular and gastrointestinal systems, in addition to prolonged fatigue. Vaccination has played a crucial role in reducing severe disease and mortality, but the impact of the different vaccine combinations on the development and resolution of Long COVID remains a topic of debate. This review synthesizes current evidence on how different vaccine platforms, dosing strategies and booster doses influence the immunological response, protection, incidence, severity, and persistence of Long COVID symptoms. We discuss key immunological mechanisms by which vaccination may modulate and protect post-COVID syndrome outcomes, including its effects on viral clearance, immune response reprogramming, inflammation, and autoimmunity, seeking to combat misinformation and concepts spread by fake news. The review also highlights controversies and research gaps, such as variability in vaccine response among different populations and the role in the selection of more transmissible and virulent SARS-CoV-2 variants, as well as the potential differences between vaccine-induced and infection-induced immunity, and the role of pre-existing immune conditions in this scenario.

1 Introduction

In late December 2019, the World Health Organization (WHO) was notified of an outbreak of pneumonia in Wuhan, China (1), and by early January 2020 a novel coronavirus, later named SARS-CoV-2 by the ICTV and the disease it causes designated COVID-19 by the WHO, was identified as the causative agent (2–4). The rapid global spread of the virus led the WHO to declare a pandemic in March 2020 (5), resulting in major public health measures and an unprecedented mobilization of scientific efforts to develop vaccines. Remarkably, within one year of the first reported cases, the first COVID-19 vaccination outside clinical trials was administered in the UK, amid over 65.8 million confirmed cases and 1.5 million deaths worldwide (6) (Figure 1). Given that COVID-19 was a novel disease, the knowledge about the nature of the protective immune response for different population groups was limited, there was uncertainty which vaccine strategies would have more success (8, 9). Therefore, a hallmark of the COVID-19 pandemic was the variety of technology platforms applied to vaccine development against SARS-CoV-2, including inactivated vaccines, adenovirus-vectored vaccines and mRNA vaccines (10, 11).

Figure 1

Figure 1. COVID-19 Dashboard summarizing key milestones of the pandemic. Timeline depicting the emergence of the SARS-CoV-2 ancestral lineage and major Variants of Concern (VOCs) according to WHO designations. The figure also indicates the rollout of the first COVID-19 vaccination (December 2020, United Kingdom), the first booster campaigns (July 2021, Israel), the introduction of bivalent vaccine (Original and Omicron BA.1/2, BA4/5) (2022) and the Updated monovalent Omicron vaccine XBB.1.5 (2023). At each highlighted time point, the cumulative numbers of global COVID-19 cases and deaths are shown, based on WHO data (7), providing a broad epidemiological perspective from the initial outbreak in December 2019 to September 2025. Created using Biorender: https://BioRender.com/8fyi7on.

Since SARS-CoV-2 is an RNA virus, it naturally accumulates mutations at a high rate, driving viral evolution that can enhance replication, transmissibility, and immune evasion (12). Variants with significant impacts on disease severity or reduced vaccine and treatment efficacy are dynamically classified as variants of concern (VOCs) (13). The emergence of VOCs has raised concerns regarding the effectiveness of vaccine-induced immunity, particularly for mRNA and vector-based vaccines, which were designed to express the spike glycoprotein encoded by the original reference strain. As a result, booster doses and updating vaccines were globally recommended, especially for vulnerable groups (14, 15).

Despite overcoming the acute phase of COVID-19, a considerable number of individuals experience the persistence of some initial symptoms, resurgence of previously resolved symptoms, or even the onset of novel symptoms, a condition that has come to be known, depending on its time span, as Long COVID (LC), or Post-Acute Sequelae of COVID-19 (PASC), 4 weeks to three months after COVID-19; and Post-COVID Condition (PCC), three months to years after the disease (16–18). Long COVID is characterized by a broad spectrum of symptoms, including fatigue, cognitive dysfunction, dyspnea, neuropsychiatric disturbances, and multisystemic involvement affecting the respiratory, neurological, cardiovascular, and gastrointestinal systems (19, 20). Although the mechanisms underlying this condition remain incompletely understood, several pathophysiological models have been proposed. These include the persistence of infectious particles or viral fragments (“viral ghosts”) in tissue reservoirs, tissue damage resulting from exacerbated inflammation during a severe acute phase of infection, autoimmunity triggered by the infection, and even reactivation of latent viruses (21, 22).

Alterations in immune responses associated with viral persistence and severe COVID-19 are at least partially triggered by the infection of CD4⁺ T helper cells by SARS-CoV-2, as previously reported (23), leading to T cell death or dysfunctional T cells resulting from inflammatory cytokine storm. Thus, CD4-mediated infection of helper T cells by SARS-CoV-2 may underlie the deficient immune responses observed in some patients with COVID-19 (23). However, how long these alterations in T cell function persist in vivo, and whether they exert long-term impacts on adaptive immunity, remains to be determined, particularly considering that, from an evolutionary perspective, the infection of CD4⁺ T cells represents an effective immune evasion strategy employed by viruses (24).

Although the worldwide mass vaccination had played a pivotal role in reducing SARS-CoV-2 infection rates, hospitalizations, and mortality, emphasizing on vaccine effectiveness in COVID-19 prevention or reducing its severity (25), their effect on preventing long COVID is not yet fully understood. Evidence from studies in the general adult population indicates that vaccination confers some degree of protection against the development of long COVID (26). It has been hypothesized that vaccination could confer protective effects against LC through multiple immunological mechanisms, especially reduction of viral burden and limitation of viral reservoir formation, attenuation of severe acute outcomes of SARS-CoV-2 infection and reprogramming of immune responses (27, 28).

Nonetheless, findings remain heterogeneous across studies, often influenced by vaccine platform (mRNA, viral vector, inactivated virus), number of doses, booster regimens, timing of vaccination relative to infection, and host-related factors such as comorbidities, socioeconomic conditions and immune status. Also, the clinical course of SARS-CoV-2 infection and the long-term effects of COVID-19 are also influenced by the evolution of the virus and the emergence of new variants, highlighting ongoing concern about the role of widespread vaccination in shaping viral evolution, potentially contributing to the emergence of more transmissible or immune-evasive SARS-CoV-2 variants (7). Therefore, it is still uncertain how vaccine-induced immunity compares to infection-induced immunity in modulating long COVID risk. This review aims to synthesize current evidence on the role of COVID-19 vaccination in the prevention and modulation of long COVID/post-COVID syndromes. Here we explore the immunological mechanisms underlying vaccine effects, the influence of different vaccine platforms and dosing strategies, the timing of vaccination in relation to SARS-CoV-2 infection, and responses among specific populations.

2 COVID-19

2.1 Viral biology of SARS-CoV-2

SARS-CoV-2 is a positive-sense single-stranded RNA virus (+ssRNA) and has a size around 30 kilobases (kb). Its genomic structure consists of six major ORFs (Open Reading Frames), which encode non-structural proteins related to transcription and replication (ORF1a/ORF1b) and structural proteins such as Spike (S), Envelope (E), Membrane (M) and Nucleocapsid (N). The RNA genome is surrounded by a helical protein coat, forming the viral nucleocapsid. This nucleocapsid is embedded in a lipoprotein envelope composed of phospholipid molecules and structural proteins (M, E and S) inserted in the lipid bilayer (29).

Spike glycoproteins, present on the entire viral surface forming the characteristic coronavirus spikes, consist of two non-covalently associated subunits, each one with a different role in the infection process. While the S1 subunit is responsible for recognizing and binding to cell receptors, the S2 subunit is responsible for the subsequent fusion of cell and viral membranes (30). The S1 subunit contains a portion called the receptor binding domain (RBD), which is capable of binding to the host cell receptor, the angiotensin-converting enzyme 2 (ACE2, Angiotensin-Converting Enzyme 2) (31, 32) (Figure 2).

Figure 2

Figure 2. Schematic representation of SARS-CoV-2 structure, genome and main host-cell entry mechanism. Schematic representation of the SARS-CoV-2 virion showing its four main structural proteins — Spike (S), Envelope (E), Membrane (M), and Nucleocapsid (N) — and the viral positive-sense single-stranded RNA genome (~30 kb). The genomic map highlights ORF1a/1b, encoding the non-structural proteins (nsp1–nsp16) involved in replication and transcription (including PLpro, 3CLpro, RdRp, and Helicase), followed by genes for structural and accessory proteins (S, E, M, N, ORF3a, 6, 7a/b, 8, 10). The figure also illustrates the Spike (S) subunits (S1-NTD, S1-CTD/RBD, S2) and its interaction with ACE2 and TMPRSS2 during host-cell entry. Created using Biorender: https://BioRender.com/4xtisqv.

The binding of Spike to the ACE2 receptor followed by activation promoted by a host cell protease, TMPRSS2 (transmembrane serine protease type II), allows the virus entry into the host cell. The activity of other host proteases, such as furin, also contributes to Spike priming and acts synergistically with TMPRSS2 to enhance viral entry and infectivity (33). Inside the cell, SARS-CoV-2 genome is immediately translated, and the viral RNA-dependent RNA polymerase is used to replicate its genome (34), installing an infectious process that triggers immune responses in the host. Although in most cases, the recruited cells clear the infection and the patients recover, the rapid replication of SARS-CoV-2 can trigger a strong and unregulated immune response. This response leads to a phenomenon known as cytokine storm, an overproduction of pro-inflammatory cytokines that causes the recruitment of inflammatory cells to the lungs, causing tissue damage and consequently, the acute respiratory distress syndrome (ARDS), considered the main cause of death in patients with COVID-19 (35–37).

Although ACE2 is widely recognized as the canonical entry receptor for SARS-CoV-2, several molecules have been suggested to serve as alternative receptors or co-factors that may facilitate viral entry. Examples include C-type lectins (such as DC-SIGN and L-SIGN), phosphatidylserine receptors like TIM-1 and TIM-4, the receptor tyrosine kinase AXL, and the transmembrane protein CD147 (38–40).

Notably, Neuropilin-1 (NRP1) has emerged as a potential facilitator of SARS-CoV-2 entry in cells with low ACE2 expression, such as respiratory and olfactory epithelial cells (41). Furthermore, studies show that NRP1 serves as the principal receptor mediating cell entry in astrocytes, the main site of infection and possibly, replication, of SARS-CoV-2 in the brain of COVID-19 patients (42, 43). As astrocytes support neuronal functions, their infection may underlie the neurocognitive and neuropsychiatric symptoms reported in some patients (42).

Also, evidence indicates that SARS-CoV-2 can infect and replicate in lymphocytes, despite their low levels of ACE2 expression (44, 45), which could explain lymphocytopenia and dysregulated inflammatory response in severe COVID-19 patients. The selective infection targeting CD4⁺ T helper cells and the high-affinity interaction between the viral spike RBD and the N-terminal domain of the CD4, assessed by molecular docking and dynamic simulations, and supported by co-immunoprecipitation and fluorescence anisotropy assays, identifies CD4 as a critical cofactor that facilitates viral attachment and promotes SARS-CoV-2 internalization in these cells (23).

Understanding the immune responses to a pathogen’s infection is crucial to know the pathogenesis of the disease, and as a basis for therapeutic applications and vaccine development. This becomes a major challenge in the context of an emerging disease, such as COVID-19, where studies are underway in laboratories around the world while new data are generated (9).

2.2 Immunology of COVID-19

2.2.1 Innate immune response

The innate immune response is the first line of defense against infections, comprising natural barriers, immune cells (macrophages, dendritic cells, neutrophils, NK cells), soluble mediators (cytokines, chemokines, natural antibodies), and the complement system. While it may not always eliminate the pathogen, it delays disease progression and supports adaptive immunity. Its activation depends on the recognition of Pathogen-Associated Molecular Patterns (PAMPs) by Pattern Recognition Receptors (PRRs), which are located on cellular or endosomal membranes (46). The detection of PAMPs by PRRs leads to an increase in the production of cytokines and chemokines, responsible for signaling the infectious process. PRRs also detect Damage-Associated Molecular Patterns (DAMPs) generated during infection (47).

During positive-strand RNA viral genome replication occurs the formation of double-stranded RNA (dsRNA), intermediary structures of replication, which are recognized by PRRs, resulting in increased production of type I interferon (IFN-I) (48–50). The production of type I IFNs (mainly IFN-α and IFN-β) plays a central role in the antiviral response, inducing the activation of natural killer (NK) cells and the maturation of antigen-presenting cells (APCs), such as dendritic cells (DCs) and macrophages (51). Upon contact with pathogens, APCs process and associate the viral antigens with Major Histocompatibility Complex (MHC) molecules on the cell surface. Viral intracellular antigens are associated with MHC class I and presented to cytotoxic T lymphocytes (CTLs), also called CD8+ T cells. Whereas virus-infected cells can be cross-presented to T helper lymphocytes (Th), also called CD4+ T cells, via MHC class II. The increased production of IFN-I and the activation of APCs provide an important link between innate and adaptive immune responses (52).

It has been reported that SARS-CoV-2 infection suppresses the innate immunity, reducing the number and maturation of DCs, inhibiting the IFN-I-mediated antiviral response, which can lead to a latent T cell response in patients with COVID-19 (53). This ability may explain the prolonged incubation or pre-symptomatic period of 2–12 days for SARS-CoV-2 compared to the 1–4 days for influenza (10). Furthermore, SARS-CoV-2 can infect monocytes, which certainly compromises the immune response to the virus (54).

Another PRR that has gained prominence in the context of long COVID-19 is Toll-like receptor 4 (TLR4), which plays an essential role in the antibacterial response by detecting the lipopolysaccharide (LPS) molecule of Gram-negative bacteria but is also involved in viral recognition (55). The SARS-CoV-2 Spike protein interacts strongly with TLR4, leading to the activation of this receptor and triggering signaling that increases ACE2 expression on the cell surface, facilitating viral entry into cells that express little ACE2, such as lung cells, in addition to causing hyperinflammation in patients (56). In mice, it has been shown that TLR4 activation by Spike can lead to long-term cognitive dysfunction (57).

2.2.2 Adaptive immune response

The adaptive immune response is a combined action between the cellular response, mediated by T cells, and the humoral response, mediated by B cells. While the presentation of viral antigens associated with MHC-I induces CD8+ T cells to screen and kill all virus-infected or modified cells by secreting cytotoxic granules containing granzymes and perforins, the presentation of viral antigens associated with MHC-II induces the differentiation of CD4+ T cells or T helper cells (Th) into several subpopulations.

Th1 lymphocytes subpopulation secrete interleukins 2 and 12 (IL-2 and IL-12), IFN-I, and Tumor Necrosis Factor-α (TNF-α), promoting cellular immunity, whereas Th2 lymphocytes produce Interleukins (IL-4, IL-5, IL-6, IL-10, and IL-13), stimulating humoral responses through B cell activation and antibody production. The cytokine profile of T helper cells drive the immune response toward cellular or humoral pathways, which depends on the virus and its interaction with the immune system. Understanding these specific mechanisms is essential for effective vaccine development (58).

Although both cellular and humoral responses to SARS-CoV-2 appear within a week of symptom onset (9), studies found that individuals recovering from mild cases retained cell-mediated immunity even when antibody responses were no longer detectable (59, 60). Also, a study with SARS-CoV demonstrated that virus-specific memory CD8+ T cells persisted for up to 6 years post-infection, whereas memory B cells and specific antibodies were undetectable (61). On the other hand, we reported in a previous study, that SARS-CoV-2 may use a CD4 molecule to infect helper T cells, leading to increased expression of the anti-inflammatory cytokine IL-10, which is associated with viral persistence and disease severity. Thus, CD4-mediated infection of helper T cells by SARS-CoV-2 may explain a deficient immune response in some patients with COVID-19 (23).

The activation of the humoral immunity is mediated by immunoglobulins (Igs), popularly known as antibodies. In general, specific antibody levels in blood plasma correlate with the stage of infection and degree of protection, and the IgM detection indicates acute infection, while isolated IgG may reflect chronic infection or immunity acquired during convalescence and after recovery. Thus, the detection of circulating antibody levels is one of the correlates of protection and immunological memory against determined viral infection (58). It has been demonstrated that SARS-CoV-2- specific IgM and IgG antibodies are detectable within 1–2 weeks of symptom onset in most infected individuals (62) and begin to decline within 8 weeks (63).

One of the biological actions performed by IgM, IgG and IgA antibodies in the antiviral response is neutralization, in which antibodies bind to specific regions of the virus, preventing its interaction with cell receptors and neutralizing its infectivity (64). Elevated levels of neutralizing antibodies to the Wuhan lineage have been observed in convalescent individuals (63) and appear to offer some benefit in treatment studies with convalescent plasma, previously used successfully in the treatment of SARS-CoV (65). Among a wide variety of antigenic determinants capable of inducing the production of high titers of neutralizing antibodies, viral surface proteins seem to be the best viral antigenic targets, due to their location, accessibility and function (66). The spike protein S1 subunit, through receptor binding domain (RBD), is the primary target for SARS-CoV-2 neutralizing antibodies (66). Antibodies that bind to RBD block its interaction with ACE2, preventing the virus from fixing to the host cell (10). Furthermore, this domain also contains epitopes for T cell responses (67).

Other important functions in combating viral infections are performed by the Fc portion of antibodies, including complement system fixation, opsonization, phagocytosis, and cellular cytotoxicity (68). Functions such as antibody-dependent cellular phagocytosis (ADCP) and cellular cytotoxicity (ADCC) are still being explored in the context of SARS-CoV-2. In ADCP, phagocytic cells such as macrophages recognize the constant region of the antibody, leading to phagocytosis and elimination of infected cells (69). In ADCC, this process is carried out mainly by natural killer cells that recognize infected cells coated with IgG and secrete cytotoxic granules, leading to cell death (70). Studies have observed that ADCC by NK cells is triggered primarily by non-spike antigens and that hybrid immunization (vaccinated convalescent individuals) can generate antibodies that enhance this activity and provide higher protection to the host against virus variants (71, 72). Regarding the protection generated by antibodies, we can also mention neonatal immunity provided by the transport of maternal IgG to the fetus through the placenta and IgA through breastfeeding (73, 74).

Coronavirus-specific T cells are important in clearing the virus and controlling disease progression and should be considered in vaccine strategies (10, 47). It has been shown that the SARS-CoV-2-induced T helper cells phenotype is associated with the severity of COVID-19 cases (75). Elevated levels of specific T cells have been observed in convalescent individuals, with a higher number of memory CD8+ T cells in the respiratory tract of mild cases compared to severe cases of COVID-19 (59, 63). Other studies have shown a higher proportion of IFNγ-producing Th1 cells in patients with mild and moderate disease, including children, than in patients with severe disease, correlating with viral clearance (76–78). In severe cases of the disease, the immunological imbalance during the acute phase triggers an increase in the production of the cytokines IL-6, IL-10 and IL-8, associated with a Th2 profile, in addition to an exhaustion of CD8+ T lymphocytes through the expression of TIM-3 and PD-1 (79, 80). Regarding SARS-CoV-2-specific T cells generated by natural infection and vaccination, there are mostly central memory and effector memory CD4+ T cells and effector memory and terminally differentiated effector CD8+ cells (81, 82). In children, it has been shown that early immune memory responses seem to be dominated by nucleocapsid-specific CD8+ T cells and antibodies, with a correlation between anti-N antibodies and TNF-α–producing memory CD8+ T cells suggesting a distinctive CD8–B cell crosstalk not typically observed in adults (78). These differences in immune profiles highlight the need for pediatric-specific vaccination strategies that leverage the strengths of children’s cellular immunity.

2.2.3 SARS-CoV-2 mechanisms of immune evasion

SARS-CoV-2 evades both innate and adaptive immunity through multiple mechanisms involving nonstructural proteins (NSPs). NSP1 binds to the 40S ribosomal subunit, blocking host mRNA entry and promoting its degradation, thereby inhibiting type I IFN expression and favoring the translation of viral mRNAs (83, 84). NSP14 and NSP16 help camouflage viral mRNA to resemble host mRNA: NSP14 adds a 7-methylguanosine cap at the 5’ end to evade RIG-1 detection (85), while NSP16 methylates the 2’-hydroxyl of the first ribose to escape MDA-5 recognition (86). These modifications suppress IFN regulatory factors and reduce type I IFN production. Additionally, NSP3 and NSP4 induce double-membrane vesicles (DMVs) from the endoplasmic reticulum, creating protected compartments for viral replication and protein export (87). Infected individuals with moderate to severe COVID-19 also exhibit reduced plasmacytoid dendritic cells (pDCs), key producers of type I IFN critical for viral clearance (88).

Severe COVID-19 cases are associated with an excessive immune response in the lungs, particularly in susceptible individuals, such as those carrying mutations in genes involved in IFN-I production (89) and those with circulating autoantibodies against IFN-I (90). In this scenario, both cellular and humoral immunity become impaired. A reduced antiviral state promotes intense inflammation with overproduction of cytokines such as IL-6, TNF-α, and CXCL10, triggering a cytokine storm. This inflammatory response increases recruitment of myeloid cells (macrophages and neutrophils) and reduces lymphoid cells (NK cells and lymphocytes), leading to complement activation, coagulation, NETosis, and tissue damage, which can be fatal (91). Failure to control the initial infection results in lymph node lymphopenia, CD8+ T cell exhaustion (92), germinal center collapse, impaired high-affinity antibody production, and deficient memory cell formation (93), also contributing to the emergence of new viral variants.

Regarding the mechanisms of escape from the adaptive immune response by SARS-CoV-2, we have evasion via neutralizing antibodies through the emergence of mutations, which mainly affect the receptor-binding domain (RBD) of the Spike surface protein and antigenic target of most vaccines developed and applied to the world population. These mutations alter the protein in such a way as to prevent recognition and binding of antibodies, consequently allowing host cells to be infected. Furthermore, mutations in key epitopes for binding to the MHC compromise other processes of antigenic destruction, such as complement fixation, phagocytosis and antibody-dependent cellular cytotoxicity, and the generation of long-term memory cells (94).

3 Long- and post-COVID-19 conditions

When symptomatic, SARS-CoV-2 infection is usually associated with an acute illness, characterized by symptoms such as dyspnea, fever, cough, accounting for about 70% of cases, pharyngitis, nausea, anorexia, anosmia, dysgeusia, cephalgia (34%), malaise, myalgia (36%), and diarrhea (12%) (95–97). Severe COVID-19, involving significant respiratory distress and cytokine storm, usually appears in between 0.3 and 3% of infected patients and is associated with lymphopenia (98), defect in Th1 immunity (92–99) and T cell depletion in lymphoid tissues (93). Other clinical manifestations, such as multisystemic inflammatory syndrome (MIS) and long COVID-19, are also frequent and impact the lives of infected people. MIS is mainly characterized by systemic hyperinflammation, which is difficult to discern from acute biphasic COVID-19 and post-acute sequelae of SARS-CoV-2 infection. MIS is presented after 4 weeks of acute COVID-19 with findings similar to Kawasaki disease (KD) such as fever (>38 °C), rash, conjunctivitis, peripheral edema, lower extremity and abdominal pain, vomiting, and diarrhea (100, 101). Recent advances in findings linked MIS-C to TGFβ overproduction, causing Epstein-Barr virus (EBV) reactivation and hyperinflammation due to an impaired T cell cytotoxicity, the same occurring in severe adult COVID-19 cases (102).

Long- and Post-COVID have been defined by World Health Organization as chronic conditions with persistent, relapsing, remitting, or progressive symptoms occurring three months and years after SARS-CoV-2 infection, respectively (18–20). By the end of 2021, the Institute for Health Metrics and Evaluation (IHME) estimated 3.7% (144.7 million) of individuals developed LC, with 15.1% (22 million) presenting persistent symptoms at 12 months after SARS-CoV-2 infection (103). However, these numbers are likely underestimated, since only in October 2021 WHO introduced a specific 10th revision of the International Classification of Diseases (ICD-10) code, U09.9, designated as “Post COVID-19 condition, unspecified”. Based on that is a challenge specific to LC cases mortality data, mostly because of disparities in definitions, clinical diagnosis inaccuracies, and documentation.

Over 200 symptoms across multiple organ systems have been reported by individuals with Long COVID, with the most common including persistent fatigue, muscle or joint pain, shortness of breath, headache, difficulty concentrating, memory impairment, and alterations in taste and smell (20) (Figure 3). Although growing research provides valuable insights, the underlying causes of LC remain unclear. Several pathogenic mechanisms have been proposed, with four predominant hypotheses encompassing viral persistence, latent viral reactivation, autoimmunity, and chronic inflammation (21). These mechanisms are not mutually exclusive but rather interrelated, forming a continuum in which acute-phase immune and inflammatory disturbances evolve into chronic cellular inflammatory states, leading to tissue injuries and other conditions such as platelet activation, coagulation abnormalities, microclot formation, and impaired gas exchange (104).

Figure 3

Figure 3. Potential causes and multi-organ manifestations of Long COVID. Long COVID is a heterogeneous condition with proposed mechanisms including viral persistence, autoimmunity, dysbiosis, tissue damage with exacerbated inflammation, immunological dysfunction, and endothelial pathology with microclot formation. Symptoms affect multiple systems, including neurological, cardiovascular, pulmonary, renal, gastrointestinal, musculoskeletal, dermatological, and reproductive, as well as blood and lymphatic disorders. Common symptoms include fatigue, cognitive impairment (“brain fog”), dyspnea, palpitations, sleep disorders, depression, and myalgia. Created using Biorender: https://BioRender.com/w1nodz2.

Persistent viral presence, antigen reservoirs, and residual spike protein may remain active within body tissues (105), accompanied by a delayed or dysregulated immune response to viral antigens, contributing to the development of Long COVID symptoms. The persistence of SARS-CoV-2 in the body, even after apparent viral neutralization, has been consistently associated with Long COVID manifestations (106, 107), possibly because such viral persistence sustains continuous immune activation, leading to the ongoing production of functional autoantibodies (fAABs) that can affect multiple organs. However, the underlying immunological mechanisms remain poorly understood, particularly considering that viral persistence is not a phenomenon unique to SARS-CoV-2 but has also been described in other chronic or post-viral conditions (108). Associated with persistent immune activation, Epstein-Barr virus viremia and SARS-CoV-2 RNAemia were positive in individuals at diagnosis, showing a reactivation of latent virus anticipating LC patterns (109).

Classical autoimmunity arises from a loss of self-tolerance, which is determined by an individual’s genetic and epigenetic background and further modulated by external factors such as lifestyle and environmental exposures, such as infections (110). During the acute phase, the SARS-CoV-2 virus may trigger autoimmune disease, elevating the levels of autoantibodies. Kreye et al. (2020), observed that a large fraction of antibodies generated following SARS-CoV-2 infection recognize host proteins rather than viral targets, indicating autoimmune reactivity (111). This could be attributed to the fact that SARS-CoV-2 encodes two viral proteases, NSP3 (PL^Pro) and NSP5 (3CL^Pro), which may directly contribute to autoimmunity by extensively cleaving host proteins that share consensus cleavage sites with viral polyproteins (112). This process generates thousands of novel peptide fragments (neoantigens) that are presented on MHC molecules and misrecognized as “non-self” by cytotoxic T cells, leading to chronic activation of autoreactive CD8⁺ and CD4⁺ T cells, persistent inflammation, and functional autoantibody production. The resulting neoantigen-driven mechanism further disrupts key immunoregulatory pathways, impair type I and II IFN responses, hinder viral clearance, and promote long-term viral persistence in tissues, ultimately sustaining immune activation and the relapsing symptomatology characteristic of Long COVID (112).

Emerging evidence suggests that several classes of autoantibodies are associated with the occurrence, symptomatology, and severity of Long COVID. In particular, the persistence of antinuclear autoantibodies (ANAs) for up to 12 months post-infection in patients with post-COVID syndrome, overlapping with autoimmune features of lupus (SLE), rheumatoid arthritis, or Sjögren’s syndrome (113). Also, the presence of functional autoantibodies (fAAbs) targeting G protein–coupled receptors (GPCRs), has shown a significant association with symptoms such as dizziness, lack of concentration, postural orthostatic tachycardia syndrome, and the deterioration of pre-existing neurological conditions (114). These autoantibodies have been identified as potential immunological biomarkers, aiding in the diagnosis, prognostic evaluation, and assessment of disease severity in affected individuals, and their therapeutic removal may confer clinical benefits, supporting their role as active contributors to the pathophysiology of Long COVID/post-COVID syndrome (115).

Because of a wide range of symptoms and gaps in the origin of Long COVID, likely influenced by individual differences in neoantigen presentation via MHC molecules (112), the major challenge is about accurate diagnosis. Besides self-reported tests (116), most diagnostic tools for LC are still under development, particularly imaging methods aimed at identifying organ-specific alterations (117–119). Moreover, some studies suggesting LC biomarkers are growing. A recent genome-wide study has proposed an association of FOXP4 with LC. The C allele at rs9367106 was associated with an increased risk of LC but not necessarily as a causal variant. Otherwise, rs9381074 was identified as a causal variant because of its association at the FOXP4 locus. Higher expression of FOXP4 in immune and alveolar cells (type 2) also contributes to a role in LC. Although the limitation of the study was the data collected prior to the Omicron wave and widespread vaccination, FOXP4 can be better investigated for possible contribution as a genetic risk factor to LC (120). Another study focusing on finding a mRNA signature in LC patients, Missailidis et al. (2024), through a transcriptome analysis of peripheral blood mononuclear cells (PBMCs) showed 2 genes downregulated from 70 genes, identified as leukocyte immunoglobulin-like receptors, LILRB1 and LILRB2, with the potential to discriminate all of the LC from recovered patients (121). Still examining the immune profile of PBMCs, Guerrera et al. (2025) showed CD3+ T, CD4+ T, CD8+ T, and Treg cells reduced levels in COVID-19 patients. However, in LC patients all cells were recovered, but the numbers of CD8+ T cells remained low, as well as activation markers on both CD8 T cells and γδ T cells, including the expression of CXCR5 and CCR6, identifying an immunological signature in adaptive immune dysregulation (122). Furthermore, healthy convalescent individuals exhibited higher titers of SARS-CoV-2 neutralizing antibodies compared to those with long COVID. Detailed phenotypic analyses revealed a modest upregulation of co-inhibitory receptors, particularly PD-1 and TIM-3, on SARS-CoV-2 non-spike-specific CD8⁺ T cells in long COVID patients (123). Elevated levels of inflammatory biomarkers, such as IL-6, CRP, and TNF-a, after SARS-CoV-2 infection for one or more months were found to be a potential core set of biomarkers for long COVID, which can be used to manage long COVID patients in clinical practice (124). Recently, Abbasi et al. (2025) identified SARS-CoV-2–derived peptides from the viral replicase polyprotein 1ab (Pp1ab) within serum extracellular vesicles of patients with persistent long COVID symptoms, suggesting that Pp1ab-enriched EVs may serve as a potential biomarker of persistent viral activity and ongoing pathogenesis (125).

Notably, all these efforts to find biomarkers for LC diagnosis and future targeted therapy have many unclear mechanisms. Among promising approaches arises from an ongoing clinical study with the DNA aptamer rovunaptabin, also known as BC007, which neutralizes functional autoantibodies (fAABs) targeting G protein–coupled receptors (GPCRs) (112, 126).

Therefore, patients who developed severe illness from COVID-19 had a greater risk of LC-associated symptoms than non-severe illness (127), although long COVID can develop regardless of the severity of the initial SARS-CoV-2 infection (128). Recent studies have shown an increased risk of Long COVID after repeated infections (129). Although vaccination helps mitigate this risk, the emergence of immune-evasive Omicron variants led to widespread reinfections, underscoring the need for continuous vaccine updates to improve protection against evolving variants of concern. Overall, a cohort study of 2025 demonstrated that less than 2% of LC patients followed up to 3 years after initial infection had resolution of symptoms, but that the COVID-19 vaccination was associated with better outcomes (130). Notably, the vaccination status and variant of SARS-CoV-2 may influence the risk of long COVID and changes in LC symptoms (28, 131, 132).

4 COVID-19 vaccine development

To rapidly respond to the COVID-19 pandemic, several technological platforms were employed in vaccine development, each with specific advantages and limitations. Some aspects must be considered in choosing the vaccine development platform: technology, time and costs involved in large-scale production, storage conditions, administration route, dose regimen, nature and durability of the immune response, and the possibility of updating vaccines in cases of emergence of variant strains with potential to evade immunity (133, 134) (Figure 4). Among the most widely used were inactivated virus, viral vector, and mRNA vaccines, which together accounted for the majority of doses administered globally.

Figure 4

Figure 4. Traditional and accelerated COVID-19 vaccine development timelines. Traditional vaccines take >10 years: exploratory phase (pathogen study, platform selection), preclinical tests (safety, immune response in cells/animals), and sequential clinical trials — Phase I (safety, dose), Phase II (schedule, regimen), Phase III (efficacy, licensing) — followed by long-term surveillance. COVID-19 vaccines were developed in ~1.5 years through global investment, emergency authorization, prior SARS/MERS vaccine data, and adapted production platforms. Exploratory stages were shortened, preclinical and clinical phases ran in parallel, and large-scale manufacturing began before trial completion, enabling rapid rollout once safety and ≥50% efficacy were demonstrated. Created using Biorender: https://BioRender.com/28gba5n.

4.1 COVID-19 vaccination

Inactivated virus vaccines are based on a long-established approach, historically used for pathogens such as influenza, polio, hepatitis A, rabies, and typhoid (135). They are produced by growing large amounts of the pathogen, followed by particle inactivation using agents such as formaldehyde or β-propiolactone (BPL) (7, 9–136). By presenting the complete viral surface to the immune system, they elicit a broad antibody repertoire but generally limited T cell activation, requiring the addition of adjuvants and administration in multidose regimens (67). During the COVID-19 pandemic, CoronaVac (Sinovac Life Science Co., China) was the most administered inactivated vaccine. Delivered in a two-dose intramuscular regimen, it demonstrated the capacity to elicit robust humoral immune responses and to reduce hospitalizations and deaths (137–140). Regarding the cellular response, a significant percentage of the circulating SARS-CoV-2-specific CD4+ T cells detected after two doses of CoronaVac exhibited a Tfh phenotype, similar to those observed following mRNA vaccination and infection (141).

Viral vector vaccines use recombinant, replication-deficient viruses engineered to express antigens from the target pathogen, inducing strong humoral and cellular immune responses without adjuvants (142). Adenoviruses are most commonly used because they are genetically stable, induce potent CD8⁺ T cell responses, and remain effective in resource-limited settings due to their relative thermostability (142, 143). This innovative technology has been studied in the development of vaccines for various infectious diseases such as HIV, dengue, flu, tuberculosis, malaria, Zika, chikungunya, MERS, among others (134). For COVID-19, ChAdOx1 nCoV-19 (AstraZeneca/University of Oxford) and Ad26.COV2.S (Janssen/Johnson & Johnson) were two of the most widely deployed viral vector vaccines, both of which express the SARS-CoV-2 spike protein. ChAdOx1, based on a chimpanzee adenovirus vector ChAd, was typically administered in a two-dose regimen (138, 144, 145), while Ad26.COV2.S, based on human adenovirus serotype 26, was the only COVID-19 vaccine approved for use as a single-dose primary schedule, facilitating rapid coverage in populations with limited healthcare access (138). Ad26.COV2.S elicits broad humoral and cellular immune responses, which are associated with protective effectiveness against SARS-CoV-2 infection, moderate to severe COVID-19, and COVID-19–related hospitalization and death (146, 147). The ChAdOx1 vaccine induces a Th1-biased response characterized by IFN-γ and TNF-α secretion by CD4⁺ T cells, predominant IgG1/IgG3 production, and CD8⁺ T cells with cytotoxic potential (148), and has demonstrated efficacy against symptomatic infection by the ancestral SARS-CoV-2 strain (149).

mRNA vaccines, a more recent platform, enabled unprecedented speed in COVID-19 vaccine development thanks to their capacity for rapid design and large-scale production without the need to manipulate live pathogens (150–152). These vaccines deliver messenger RNA encoding the spike protein into host cells via lipid nanoparticles (LNPs), enabling intracellular antigen expression that mimics natural infection and elicits both humoral and cellular immune responses (150–152). Modifications such as nucleoside analog incorporation and optimized purification increase stability and translation efficiency (153, 154). For COVID-19, BNT162b2 (Pfizer/BioNTech) and mRNA-1273 (Moderna) were the first mRNA vaccines authorized for human use, marking a milestone in vaccinology. Both mRNA-based vaccines targeted the prefusion full-length spike protein and were administered as two-dose regimens, although they differ in the mRNA content, the LNP composition and the interval between priming and boosting doses (155–158). Early randomized trials demonstrated that both vaccines were highly effective in preventing symptomatic COVID-19 (156, 158), and may offer increased immunogenicity in immunocompromised (IC) patients, particularly with the higher-dose mRNA-1273 vaccine, which is associated with higher seroconversion rates, greater total anti-spike antibody titers, and elevated neutralizing antibody titers and cellular immune responses (159), the latter being linked to protection against initial SARS-CoV-2 infection, viral clearance, and potentially essential for long-lasting immunity (160).

Together, these three vaccine platforms, based on different technological principles, formed the backbone of the global immunization effort against COVID-19. Some were later supplemented with booster doses to counter waning immunity and updated to enhance protection against variants of concern, helping to maintain vaccine effectiveness throughout the pandemic.

4.2 Variants of concern and vaccine reformulation

4.2.1 Emergence of variants of concern

SARS-CoV-2, an RNA virus, accumulates mutations more frequently than DNA viruses. The accumulation is largely due to the RNA-dependent RNA polymerase (RdRp) enzyme, which is inherently error-prone during the virus’s replication process and lacks the ability to correct these errors. These mutations can alter amino acid sequences and protein function, driving viral evolution, increasing pathogenicity, and potentially compromising immune responses. Asymptomatic transmission further facilitates viral spread and the emergence of selective mutations that enhance replication, transmissibility, or immune evasion tend to become dominant (161). Of particular concern are mutations in the Spike protein, especially in the receptor-binding domain (RBD), which can increase ACE2 affinity or promote antibody escape. Variants with significant impacts on disease severity or reduced vaccine and treatment efficacy are classified as variants of concern (VOCs) (94).

Throughout the COVID-19 pandemic, several VOCs were originated: Alpha or B.1.1.7 (UK-originated variant), Beta or B.1.351 (South African-originated variant), Gamma or P.1 (a Brazilian variant), Delta or B.1.617 (an Indian variant) and Omicron or B.1.1.529 (South Africa and Botswana- first detection) (162–165). Among them, the Omicron and its subvariants were highlighted, a lineage with up to 60 mutations, 38 of which are in the Spike protein and at least 12 in the RBD domain. Most of these mutations are known to affect transmissibility, immune evasion and a higher risk of reinfection (166). Among the mutations found in this SARS-CoV-2 lineage, D614G and P681H are linked to greater infectivity and stability of the viral particle (167, 168). While N501Y, T478K, Q493R, and H655Y increase the affinity of SARS-CoV-2 for the ACE2 receptor, increasing its transmissibility (168). The K417N, E484A, Y505H, N440K, and G496S mutations favor immune escape via neutralizing antibodies generated during vaccination or natural infection, as well as alter the sensitivity to neutralization by monoclonal antibodies or sera from convalescent patients, compromising the effectiveness of treatments (169). However, clinical pathogenicity in Omicron is reduced when compared to other VOCs (170), which is believed to be associated with TMPRSS2-independent viral fusion and replication (171, 172).

The newly emerged variants have raised concerns about the immunity conferred by COVID-19 vaccines, particularly in mRNA vaccines and vector vaccines, which were designed to express the spike glycoprotein based on the reference sequence. Studies found neutralizing antibody evasion by Omicron sublineages using sera from individuals vaccinated with both vaccine strategies (173, 174), yet neutralizing capacity was partially restored by vaccine boosters (175–177). Nevertheless, antibodies produced by a triple homologous/heterologous vaccination regimen or by hybrid immunity with two doses of the vaccine resulted in greater neutralizing capacity against the Omicron variant (178, 179). Although neutralizing antibody titers represent only one component of the vaccine-induced response, it is crucial to assess the effectiveness of vaccines in response to variants and, if necessary, adapt them. However, vaccines based on disease-causing pathogens are complex to update in cases of the emergence of viral variants that have undergone mutations and escaped from the immune system. A study observed that the variant of concern P.1 Gamma can escape the neutralization of antibodies from convalescent patients and individuals previously immunized with the inactivated vaccine (CoronaVac) and that this neutralization capacity is six times smaller when compared to the original Wuhan lineage (180), highlighting the challenge of immune escape in this platform.

Although these mutations provided greater escape from neutralizing antibodies and reduction of B memory cells, the other arm of the adaptive immune response generated by vaccines, memory CD4+ and CD8+ T cells, has also been explored. It has been observed that T-cell-mediated immunity was well maintained for long periods after vaccination with the monovalents Wuhan vaccines and confers cross-protection to SARS-CoV-2 variants, which would explain the lack of severe cases and deaths in reinfected and vaccinated individuals (181, 182). This even applies to the Omicron variant, with preservation of the epitopes recognized by T cells with an average > 80% for Omicron compared to the other VOCs (183, 184).

4.2.2 Boosters and vaccine adaptation

Due to the rapid decline in neutralizing antibody levels 6 months after the second dose and the emergence of VOCs such as Delta, which are more transmissible and cause serious diseases than others variants of the virus (185), the application of booster doses of the vaccine was globally recommended, mainly for immunocompromised individuals, those with comorbidities and healthcare professionals (186). The boosters were able to restore neutralizing antibody titers.

To address the ongoing evolution of SARS-CoV-2, particularly the emergence of Omicron and its subvariants, some vaccines were reformulated and administered as boosters to broaden immune protection. These updates mainly involved mRNA vaccines due to their adaptability, leading to the development and authorization in 2022 of bivalent formulations, such as Comirnaty (Pfizer-BioNTech) and Spikevax (Moderna), which combine mRNAs encoding the original Wuhan strain with those targeting the Omicron BA.1 and BA.4/5 variants (187, 188). Next, monovalent vaccines targeting the Spike protein of subvariants XBB.1.5 and KP-2 have also been approved by the same companies (15, 189).

Souza et al. (2024) reported that individuals who received a single dose of a bivalent vaccine exhibited significantly higher neutralizing antibody levels against various SARS-CoV-2 variants compared to those who received three or four monovalent boosters based on the B.1 lineage (176). Similar results were found by Scheaffer et al. (2022) in mouse models, showing broader neutralization of Omicron variants (177). However, repeated mRNA vaccination against COVID-19 was associated with IgG4 class switching, which reduces Fc-dependent antibody effector functions and diminishes NK cell activation by S1-specific antibodies, potentially weakening the vaccine-induced immune response (190, 191). Regarding T cell-mediated immunity, it remained stable after two doses of the monovalent Wuhan-based vaccine and was not significantly enhanced by further booster doses or Omicron breakthrough infections (82), suggesting that T cell responses are more antigenically resilient to Spike mutations and continue to contribute to protection against severe COVID-19. Notably, SARS-CoV-2-specific T cells induced by booster vaccines remained active and functional for at least one year post-immunization (82).

5 Impact of vaccination on long- and post-COVID syndromes

5.1 Immunological and virological mechanisms of protection

Vaccination against SARS-CoV-2 does not completely prevent long COVID (LC) but significantly reduces its incidence and symptom burden. Multiple studies have demonstrated lower frequencies of fatigue, fever, cough, dyspnea, anxiety, depression, memory dysfunction, and brain fog among vaccinated individuals compared with unvaccinated peers, with effects persisting for up to 18 months (192–194). Breakthrough infections among vaccinated individuals are also associated with lower LC risk, particularly for coagulation and pulmonary sequelae (27). Notably, protection increases with acute disease severity, being strongest among hospitalized and ICU-treated patients (195) (Figure 5). The underlying mechanisms for these benefits are multifactorial and involve both immunological and virological processes.

Figure 5

Figure 5. Vaccine strategies against SARS-CoV-2 and potential benefits for Long COVID prevention and mitigation. The hallmark of the COVID-19 pandemic was the diverse range of technological platforms employed in the development of vaccines against SARS-CoV-2. Among the most widely used were inactivated virus, viral vector, and mRNA vaccines, which together accounted for the majority of doses administered globally. Vaccination reduces severe COVID-19 outcomes, inflammation, tissue damage, and viral persistence, while promoting robust humoral and cellular immune responses and lowering autoantibody levels. Post-vaccination improvements in Long COVID symptoms include reduced fatigue, brain fog, headaches, sleep disturbances, depression, anxiety, anosmia, cough, dyspnea, chest pain, palpitations, vascular complications, myalgia, arthralgia, and gastrointestinal disturbances. Created using Biorender: https://BioRender.com/o1um17d.

A primary protective mechanism of COVID-19 vaccination involves attenuation of the severity of the disease in the acute phase, which has been consistently associated with a higher risk of post-acute sequelae, due to intense immune activation, extensive tissue damage, and prolonged hospitalization. Vaccinated individuals typically experience a milder course of acute illness, leading to reduced tissue damage and a lower risk of long-term complications (27, 192, 193). In a pediatric prospective cohort, reduced organ damage following vaccination was proposed as a key physiological explanation for the decreased incidence of long COVID (195). Notably, a higher viral burden during the acute phase is strongly associated with an increased risk of persistent symptoms (196–199), indicating that early immune priming through vaccination may help interrupt this pathological trajectory (27).

Vaccinated individuals tend to exhibit more regulated immune responses during acute SARS-CoV-2 infection, characterized by a lower incidence of cytokine storms and reduced prevalence of autoantibody formation (192). Studies have consistently reported that COVID-19 vaccination is associated with a downregulation of pro-inflammatory cytokines such as IL-1, IL-6, and TNF-α, which are key mediators involved in chronic inflammation and fibrotic tissue damage (192, 200, 201). In addition, elevated plasma levels of soluble CD40 ligand (sCD40L) have been observed in moderate to severe COVID-19, associated with a platelet-driven prothrombotic profile (202). Notably, sCD40L concentrations were significantly reduced following vaccination (203). Moreover, vaccinated individuals show fewer symptoms linked to enhanced inflammatory responses, such as headaches, joint pain, and dysregulated hypertension. These symptoms were significantly more frequent in unvaccinated patients, suggesting that stronger inflammatory reactions in the absence of vaccination may underlie these clinical differences (192). From an immunological standpoint, these protective effects reflect the benefits of early immune priming: vaccinated immune systems are better equipped to control viral replication and mount proportionate responses, thereby reducing collateral tissue damage and systemic inflammation during acute infection (27, 204). These findings support the immunological theory that primed immune systems respond more efficiently and with less dysregulation during acute SARS-CoV-2 infection, thereby reducing downstream post-acute sequelae.

Faster viral clearance and the prevention of viral reservoir establishment have emerged as prominent immunological mechanism candidates by which COVID-19 vaccination may influence the development and severity of LC (27, 28, 203, 204). Persistent SARS-CoV-2 RNA or antigens are thought to drive chronic immune activation and inflammation, dysbiosis, and coagulation abnormalities, contributing to key long COVID symptoms, including fatigue, increased risk of thrombosis, cognitive dysfunction, and myalgia (21, 205). Supporting this hypothesis, SARS-CoV-2 components have been detected months after infection in immune-privileged tissues, such as the intestine, skin, liver, and lungs (206–208). Among viral proteins, the persistence of spike protein in various tissues may contribute to prolonged neurological symptoms observed in long COVID-19 (104, 105, 209, 210). Furthermore, circulating spike antigen has been identified in approximately 60% of PCC patients up to 12 months post-infection (104), and spike S1 protein has been detected within monocytes as late as 15 months after acute infection (209). SARS-CoV-2 Spike protein plays a pivotal role in COVID-19 pathogenesis and is the main target for vaccine development. Spike protein can also aberrantly activate the innate immune Toll-like receptor 4 (57, 211–213). Notably, S1 may persist in plasma via extracellular vesicles (EV) (214) and has been shown to associate with LPS, especially in Delta variant infections, contributing to inflammation (215). S1 also stimulates pro-inflammatory cytokine production, and its presence in monocytes and granulocytes (209) suggests these cells may sustain chronic inflammation in post COVID syndrome (198). These findings reinforce the role of persistent viral material in perpetuating immune imbalance and long COVID symptoms (16, 216).

A pre-existing immune response induced by vaccination can prevent the establishment of viral reservoirs, thereby reducing the risk of long COVID (205). This protection is primarily mediated by the rapid induction of neutralizing antibodies and virus-specific T cell responses, which limit viral replication and facilitate early viral clearance. SARS-CoV-2 mRNA vaccines elicit transient cytokine responses associated with robust spike-specific antibody production, including in previously infected individuals (200). Recent studies revealed that healthy convalescents displayed higher neutralizing activity against SARS-CoV-2 than individuals with long COVID despite comparable anti-Spike IgG titers, suggesting qualitative differences in humoral immunity (123). This observation indicates that vaccination not only enhances immune magnitude but also optimizes functional breadth, leading to more efficient viral control and reduced risk of chronic antigen persistence.

However, the emergence of Omicron and its heavily mutated subvariants posed a major challenge, as extensive conformational alterations increased both transmissibility and immune evasion. Although Omicron generally causes less aggressive acute disease compared to previous VOCs (170), these sublineages remain globally predominant and have resulted in frequent reinfections, even among vaccinated individuals. Despite its increased transmissibility and number of reinfections, studies have shown that the Omicron variant presents a low risk of developing LC when compared to previous SARS-CoV-2 variants (217). On the other hand, repeated exposure to Omicron variants may promote sustained immune activation and the generation of autoantibodies, potentially increasing the risk of developing persistent symptoms consistent with Long COVID (129, 218). Thus, continued vaccination efforts with updated formulations targeting currently circulating variants remain essential to prevent reinfections and mitigate the long-term consequences of SARS-CoV-2 infection (112, 219).

Autoimmunity has been proposed as a key mechanism underlying long COVID, either through molecular mimicry or by the generation of neoantigens. Antibodies recognizing SARS-CoV-2 spike protein cross-react with several human tissue antigens, especially neurological (220), were detected in patients with severe acute SARS-CoV-2 infection with reactivity to pro-inflammatory factors (221), can even contribute to cardiovascular inflammation via atherosclerotic plaque formation (222). Beyond molecular mimicry, viral proteases (PL^pro and 3CL^pro) may contribute to autoimmunity by aberrantly cleaving host proteins, generating neoantigens that are presented by MHC molecules and misrecognized as “non-self.” This process can trigger sustained activation of autoreactive T cells, persistent inflammation, and autoantibody production, reinforcing the autoimmune mechanisms implicated in post COVID (112).

Vaccination may prevent the emergence of autoantibodies by reducing the risk of reinfections, promoting faster viral clearance, and modulating the immune response, thereby diminishing the production of inflammatory cytokines and chemokines and/or reprogramming pathogenic lymphocytes (200). Notarte et al. (2022) compiled evidence supporting the notion that pre-infection vaccination may reduce autoimmunity-related long COVID manifestations (28). Although inflammation impairs immunocompetence, it is possible that vaccination in individuals with pre-existing long COVID symptoms promotes anti-Spike IgG responses which may have helped lower a persistent viral burden and reduce titers of autoantibodies (223).

In immunocompromised populations, the effectiveness of vaccination against long COVID remains inconclusive. Studies in people living with human immunodeficiency virus (HIV) infection (PLHIV) (224) and those with common variable immunodeficiency (CVID) (225), which consistently exhibit higher rates of long COVID compared to community-based cohorts, reported a lower long COVID prevalence among vaccinated individuals. However, these associations were not statistically significant, largely due to limited sample sizes and methodological limitations. These findings underscore both the benefits and the limitations of vaccination in preventing long COVID, especially in vulnerable populations.

5.2 Vaccine platforms and dosage

Large cohort studies have consistently demonstrated the significant efficacy of vaccination in reducing the severity, duration of long COVID symptoms, and overall hospitalization rates. In a multicentric analysis across the UK, Spain, and Estonia, pre-infection vaccination was associated with a markedly lower risk of long COVID (226). Ranucci et al. (2023) found that vaccinated hospitalized COVID-19 patients had significantly lower rates of major physical and neuropsychological symptoms at 12 and 18 months post-infection (MPS: 52% vs. 91.7% in unvaccinated; MNS: 24% vs. 93.8%) (193). Similarly, Babicki et al. (2023) and Ioannou et al. (2022) reported reduced incidence of symptoms such as headache, joint pain, and documented long COVID diagnoses among fully vaccinated individuals (192, 227). Collectively, these findings support the hypothesis that vaccination mitigates long COVID primarily through accelerated viral clearance and prevention of persistent antigenic stimulation. However, a better understanding of the similarities and differences between vaccine platforms and dosing regimens is needed, not only in preventing the development of long COVID, but also in evaluating their impact on individuals with pre-existing long COVID symptoms.

Multiple studies have reported a slightly stronger preventive effect of mRNA vaccines compared to adenoviral vector vaccines in reducing the risk of developing long COVID symptoms. Català et al. (2024) found that administration of any first dose of COVID-19 vaccine (ChAdOx1, BNT162b2, Ad26.COV2.S or mRNA-1273) was associated with a reduced risk of long COVID, with a slightly greater preventive effect observed for BNT162b2 compared to ChAdOx1 (226). Similarly, other studies have shown a more pronounced reduction in long COVID symptoms among recipients of mRNA vaccines (BNT162b2 and mRNA-1273) relative to those who received adenoviral vaccines (Ad26.COV2.S) (23, 27, 131, 228). Interestingly, a greater improvement in symptoms observed among individuals who received mRNA vaccines compared to those who received adenoviral vector vaccines was more pronounced in key long COVID symptoms such as fatigue, brain fog, and myalgia (229). This difference in vaccine efficacy has been attributed, in part, to the higher effectiveness of mRNA vaccines (particularly BNT162b2) in preventing SARS-CoV-2 infection compared to adenoviral vaccines such as ChAdOx1 (149, 158), as well as the greater protection mRNA vaccines appear to offer against severe COVID-19 illness (28, 228).

It is important to relate that adenoviral vector vaccine ChAdOx1, was associated with rare thrombotic events linked to endothelial inflammation and microvascular injury, mainly observed in young adults (22–49 years) with elevated D-dimer and CRP levels (230–232). Although these cases are uncommon, they have been characterized as vaccine-induced immune thrombotic thrombocytopenia (VITT), resulting from pathogenic immune complexes that activate platelets and leukocytes, leading to thrombosis and thrombocytopenia (233). These findings highlight overlapping mechanisms of vascular inflammation, coagulation, and immune activation in both vaccine-induced thrombosis and long COVID.

Although some studies have shown that even a single dose may be sufficient to reduce the prevalence and severity of long COVID symptoms, two doses are likely more effective (131, 132). Ioannou et al., 2022 demonstrated that only individuals with two doses of mRNA COVID-19 vaccine were protected from long COVID diagnosis, while one dose was insufficient (227). Furthermore, evidence supports a dose-dependent protective effect of COVID-19 vaccination against long COVID, regardless of the vaccine platform used. A study involving over 500,000 adults reported a 21% risk reduction after one dose, 59% after two doses, and 73% after three or more doses compared to unvaccinated individuals (234). Similarly, Marra et al. (2023) found that, among individuals without prior SARS-CoV-2 infection, two doses conferred 37% protection and three doses up to 69% effectiveness against the development of long COVID (235).

However, if autoimmunity contributes to the pathophysiology of long COVID, vaccine-induced expansion of autoreactive clones could, in rare cases, transiently exacerbate symptoms through heightened immune activation and antibody production, as suggested by isolated reports (236). Pediatric registry data noted only slight increases in autoimmune diagnoses post-vaccination, but the absolute risk remained low (237). Korner et al. (2023) identified significantly elevated levels of IgG3 and IgG4 subclasses in long COVID patients with concomitant Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS), suggesting a role in the immunopathology of long COVID (238). Although little is known about virus-specific IgG4 antibody responses in controlling viral infections, evidence has suggested a pathogenic role of IgG4 in autoimmune diseases (239). This class switching toward IgG4 has raised considerable interest, as high IgG4 levels were previously observed in the context of HIV vaccine trials, where vaccine-induced IgG4 responses impaired Fc-mediated effector functions such as antibody-dependent cellular cytotoxicity (ADCC) and phagocytosis (ADCP), thereby questioning their functional implications (240, 241). Furthermore, It has been reported that repeated immunization of naïve individuals with the mRNA vaccines increased the proportion of the IgG4 subclass over time compared with individuals who received AZD1222 homologous vaccination (242, 243), showing that vaccination with mRNA-based vaccines caused a shift in anti-spike antibody repertoire toward IgG4 subclass.

Besides mRNA and adenovirus-based vaccines, a study suggested that receiving three doses of the inactivated (SinoVac CoronaVac) vaccine was associated with significantly lower odds of reporting any LC symptoms compared to receiving two doses. Moreover, these protective effects were similar to those observed with three doses of an mRNA vaccine (Pfizer-BioNTech) (244).

Since it is widely known that vaccine-induced immunogenicity declines over time, combined with the emergence of VOCs, the role of booster doses and updated seasonal vaccines, and their impact on the development of LC, must be carefully assessed. It has been reported that the prevalence of LC during the Omicron wave was about half that of the Delta wave (131), with vaccinated individuals having shorter symptom duration with Omicron (6.87 days) than with Delta (8.89 days), further reduced with boosters (4.4 vs. 7.7 days) (192). Notably, booster vaccination appeared to reduce the risk of developing long-term autoimmune complications after SARS-CoV-2 Delta and Omicron BA.1 or BA.2 variant infection, highlighting its potential protective effect (245). Also, the UK’s Health Security Agency found that LC was 50% less common in double-vaccinated individuals infected with Omicron BA.1 compared to those with Delta, although this was not observed in triple-vaccinated individuals (246). In a study estimating the cumulative incidence of severe post-COVID sequelae one year after infection, a 5.23% decline was observed during the Omicron era compared to the combined pre-Delta and Delta eras. Of this reduction, 28.11% was attributed to changes in the virus and other temporal factors, while 71.89% was attributed to vaccination (204). Although vaccine effectiveness varied with emerging variants, suggesting higher LC incidence during Delta infection wave compared to Omicron, a study showed these differences were not significant after adjusting for sociodemographics, clinical characteristics, and vaccination status (130). Furthermore, the higher transmissibility and immune escape capacity of Omicron led to recurrent infections even among vaccinated individuals, thereby maintaining a residual risk of developing Long COVID, although generally associated with milder acute disease compared with previous VOCs. This suggests that the variation in LC symptoms between variants may be driven not solely by the biological traits of the variants.

While the potential benefits of vaccination in preventing long COVID have been widely evaluated, an increasing number of studies are now assessing its impact on individuals with pre-existing long COVID symptoms (106, 203). Grady et al. (2024) offer preliminary indications of biomarkers that may help predict how people with Long COVID respond to vaccines (22). Although elevated levels of soluble IL-6 receptor (sIL-6R) were associated with clinical improvement, individuals with persistently high levels of IFN-β and ciliary neurotrophic factor (CNTF) did not show any improvement following vaccination. Elevated interferon signaling in individuals who did not improve post-vaccination may reflect persistent immune activation due to ongoing SARS-CoV-2 infection and vaccine failure to clear viral reservoirs or that non-SARS-CoV-2 mechanisms are driving the condition, such as reactivation of latent viruses like EBV, or autoimmune processes. Alternatively, the IFN signature may represent sustained immune dysregulation rather than active infection (22).

6 Conclusions

Although we adopted a nonsystematic review strategy, the points raised here reinforce that the current body of evidence available in the literature indicates that COVID-19 vaccination plays a multifaceted role in mitigating the risk of Long and Post-COVID syndromes. By inducing robust humoral and cellular immunity, vaccines limit viral replication and prevent the establishment of persistent viral reservoirs, which are hypothesized to drive chronic symptoms. Multiple studies have found evidence that COVID-19 vaccination before SARS-CoV-2 natural infection may reduce the risk of long COVID and in breakthrough infections, it consistently reduces the incidence of important physical and neuropsychological symptoms (132, 193, 247).

Furthermore, given that recurrent infections driven by the widespread circulation of immune-evasive variants can promote persistent immune activation and increase the likelihood of autoimmune manifestations, vaccine boosters and reformulated vaccines are essential to reestablish and sustain humoral immune responses against emerging SARS-CoV-2 variants, thereby preventing reinfections and mitigating the long-term consequences of infection (82). Other Infections with Chronic Sequelae and the Role of Vaccination Parallels with other post-viral syndromes reinforce the rationale for COVID-19 vaccination as a means of reducing long-term sequelae. Infections such as EBV, influenza, Zika, and human papillomavirus (HPV) are known to trigger persistent symptoms or autoimmune complications. Vaccines against these pathogens, including HPV and varicella zoster, reduce post-infectious complications like Guillain-Barré and postherpetic neuralgia (248–251).

Despite these consistent observations supporting the protective role of vaccination against long COVID, several questions remain unresolved. While the benefits of immunization are well established in the general adult population, gaps remain regarding immunocompromised individuals, the elderly, and children. Continued research using harmonized definitions and longitudinal designs is essential to refine our understanding and to outline public health strategies for future pandemics. Furthermore, the complexity of immune responses, the emergence of immune-evasive variants, the heterogeneity of study designs, and the lack of a standardized definition of long COVID and post COVID syndromes across studies contribute to ongoing uncertainty about the magnitude and consistency of vaccine-mediated protection. Among the difficulties of reviewing the effects of vaccination in the context of long COVID are the different approaches regarding the quantity and duration of post-infection symptoms and the subjectivity in patient classification based on self-report rather than detection of LC biomarkers (17).

Other points to be addressed are gaps in the investigation of the protective potential of inactivated vaccines in the long COVID context, which challenge our immune system with a larger repertoire of viral antigens. Some research groups argue that a more effective vaccination strategy would be based on a heterologous vaccination regimen rather than a homologous regimen, in which an initial booster with an inactivated vaccine followed by a booster with an mRNA vaccine would increase the concentration and antibody response (245, 252). Furthermore, global vaccination faces significant inequalities, with disparities in access and coverage between and within countries, primarily affecting vulnerable and low-income populations. In addition, some studies present conflicting data regarding the benefits and effectiveness of vaccination, such as post-vaccine symptom worsening (236), the generation of autoantibodies (253) and ineffectiveness of the booster dose attributed to immunological imprinting (254).

Therefore, more in-depth studies addressing these gaps are essential to better understand the role of immunization in preventing chronic COVID-19 conditions. In parallel, understanding the underlying causes of post-vaccine symptoms, and determining whether early intervention can prevent long-term complications, may be essential for developing safer, more effective vaccines and for shedding light on the biological mechanisms of Long Covid.

Author contributions

GG: Writing – review & editing, Conceptualization, Data curation, Writing – original draft. NB: Conceptualization, Data curation, Writing – original draft, Writing – review & editing. DD: Conceptualization, Data curation, Writing – original draft, Writing – review & editing. JP-M: Writing – review & editing, Supervision. AF: Supervision, Writing – review & editing.

Funding

The author(s) declare financial support was received for the research and/or publication of this article. Grants (#2019/13552-8, #2021/08354-2), São Paulo Research Foundation (FAPESP).

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The author(s) declare that no Generative AI was used in the creation of this manuscript.

Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. Wu Z and McGoogan JM. Characteristics of and important lessons from the coronavirus disease 2019 (COVID-19) outbreak in China: summary of a report of 72 314 cases from the chinese center for disease control and prevention. JAMA. (2020) 323:1239–42. doi: 10.1001/jama.2020.2648

PubMed Abstract | Crossref Full Text | Google Scholar

2. Zhu N, Zhang D, Wang W, Li X, Yang B, Song J, et al. China novel coronavirus investigating and research team. A novel coronavirus from patients with pneumonia in China, 2019. N Engl J Med. (2020) 82:727–33. doi: 10.1056/NEJMoa2001017

PubMed Abstract | Crossref Full Text | Google Scholar

3. Zhou P, Yang XL, Wang XG, Hu B, Zhang L, Zhang W, et al. A pneumonia outbreak associated with a new coronavirus of probable bat origin. Nature. (2020) 579:270–3. doi: 10.1038/s41586-020-2012-7

PubMed Abstract | Crossref Full Text | Google Scholar

4. Coronaviridae Study Group of the International Committee on Taxonomy of Viruses. The species Severe acute respiratory syndrome-related coronavirus: classifying 2019-nCoV and naming it SARS-CoV-2. Nat Microbiol. (2020) 5:536–44. doi: 10.1038/s41564-020-0695-z

PubMed Abstract | Crossref Full Text | Google Scholar

5. World Health Organization. Coronavirus disease 2019 (COVID-19) Situation Report –51 (2025). Available online at: https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200311-sitrep-51-covid-19.pdf?sfvrsn=1ba62e5710 (Accessed June 15, 2025).

Google Scholar

6. World Health Organization. COVID-19 Weekly Epidemiological Update - Data as received by WHO from national authorities, as of 6 December 2020, 10 am CET (2025). Available online at: https://www.who.int/docs/default-source/coronaviruse/situation-reports/20201208_weekly_epi_update_17.pdf (Accessed June 10, 2025).

Google Scholar

7. Faraji N, Zeinali T, Joukar F, Aleali MS, Eslami N, Shenagari M, et al. Mutational dynamics of SARS-CoV-2: Impact on future COVID-19 vaccine strategies. Heliyon. (2024) 10:e30208. doi: 10.1016/j.heliyon.2024.e30208

PubMed Abstract | Crossref Full Text | Google Scholar

8. Acosta-Coley I, Cervantes-Ceballos L, Tejeda-Benítez L, Sierra-Márquez L, Cabarcas-Montalvo M, García-Espiñeira M, et al. Vaccines platforms and COVID-19: what you need to know. Trop Dis Travel Med Vaccines. (2022) 8:20. doi: 10.1186/s40794-022-00176-4

PubMed Abstract | Crossref Full Text | Google Scholar

9. Forni G, Mantovani A, and COVID-19 Commission of Accademia Nazionale dei Lincei, Rome. COVID-19 vaccines: where we stand and challenges ahead. Cell Death Differ. (2021) 28:626–39. doi: 10.1038/s41418-020-00720-9

PubMed Abstract | Crossref Full Text | Google Scholar

10. Jeyanathan M, Afkhami S, Smaill F, Miller MS, Lichty BD, and Xing Z. Immunological considerations for COVID-19 vaccine strategies. Nat Rev Immunol. (2020) 20:615–32. doi: 10.1038/s41577-020-00434-6

PubMed Abstract | Crossref Full Text | Google Scholar

11. Pollard AJ and Bijker EM. A guide to vaccinology: from basic principles to new developments. Nat Rev Immunol. (2021) 21:83–100. doi: 10.1038/s41577-020-00497-5

PubMed Abstract | Crossref Full Text | Google Scholar

12. Markov PV, Ghafari M, Beer M, Lythgoe K, Simmonds P, Stilianakis NI, et al. The evolution of SARS-coV-2. Nat Rev Microbiol. (2023) 21:361–79. doi: 10.1038/s41579-023-00878-2

PubMed Abstract | Crossref Full Text | Google Scholar

13. Carabelli AM, Peacock TP, Thorne LG, Harvey WT, Hughes J, COVID-19 Genomics UK Consortium, et al. SARS-CoV-2 variant biology: immune escape, transmission and fitness. Nat Rev Microbiol. (2023) 21:162–77. doi: 10.1038/s41579-022-00841-7

PubMed Abstract | Crossref Full Text | Google Scholar

14. Cromer D, Reynaldi A, Mitchell A, Schlub TE, Juno JA, Wheatley AK, et al. Predicting COVID-19 booster immunogenicity against future SARS-CoV-2 variants and the benefits of vaccine updates. Nat Commun. (2024) 15:8395. doi: 10.1038/s41467-024-52194-9

PubMed Abstract | Crossref Full Text | Google Scholar

15. Food and Drug Administration. FDA Takes Action on Updated mRNA COVID-19 Vaccines to Better Protect Against Currently Circulating Variants (2023). Available online at: https://www.fda.gov/news-events/press-announcements/fda-takes-action-updated-mrna-covid-19-vaccines-better-protect-against-currently-circulating (Accessed June 12, 2025).

Google Scholar

16. Davis HE, McCorkell L, Vogel JM, and Topol EJ. Long COVID: major findings, mechanisms and recommendations. Nat Rev Microbiol. (2023) 21:133–46. doi: 10.1038/s41579-023-00896-0

PubMed Abstract | Crossref Full Text | Google Scholar

17. Perumal R, Shunmugam L, Naidoo K, Abdool Karim SS, Wilkins D, Garzino-Demo A, et al. Long COVID: a review and proposed visualization of the complexity of long COVID. Front Immunol. (2023) 14:1117464. doi: 10.3389/fimmu.2023.1117464

PubMed Abstract | Crossref Full Text | Google Scholar

18. Ely EW, Brown LM, and Fineberg HV. National academies of sciences, engineering, and medicine committee on examining the working definition for long covid. Long Covid Defined. N Engl J Med. (2024) 391:1746–53. doi: 10.1056/NEJMsb2408466

PubMed Abstract | Crossref Full Text | Google Scholar

19. Bowe B, Xie Y, and Al-Aly Z. Postacute sequelae of COVID-19 at 2 years. Nat Med. (2023) 29:2347–57. doi: 10.1038/s41591-023-02521-2

PubMed Abstract | Crossref Full Text | Google Scholar

20. World Health Organization. Post COVID-19 Condition (Long COVID) (2025). Available online at: https://www.who.int/news-room/fact-sheets/detail/post-covid-19-condition-(long-covid) (Accessed July 12, 2025).

Google Scholar

21. Altmann DM, Whettlock EM, Liu S, Arachchillage DJ, and Boyton RJ. The immunology of long COVID. Nat Rev Immunol. (2023) 23:618–34. doi: 10.1038/s41577-023-00948-9

PubMed Abstract | Crossref Full Text | Google Scholar

22. Grady CB, Bhattacharjee B, Silva J, Jaycox J, Lee LW, Monteiro VS, et al. Impact of COVID-19 vaccination on symptoms and immune phenotypes in vaccine-naïve individuals with Long COVID. Commun Med (Lond). (2025) 5:163. doi: 10.1038/s43856-025-00829-3

PubMed Abstract | Crossref Full Text | Google Scholar

23. Brunetti NS, Davanzo GG, de Moraes D, Ferrari AJR, Souza GF, Muraro SP, et al. SARS-CoV-2 uses CD4 to infect T helper lymphocytes. Elife. (2023) 12:e84790. doi: 10.7554/eLife.84790

PubMed Abstract | Crossref Full Text | Google Scholar

24. Xu XN, Screaton GR, and McMichael AJ. Virus infections: escape, resistance, and counterattack. Immunity. (2001) 15:867–70. doi: 10.1016/s1074-7613(01)00255-2

PubMed Abstract | Crossref Full Text | Google Scholar

25. Ghasemiyeh P and Mohammadi-Samani S. Lessons we learned during the past four challenging years in the COVID-19 era: pharmacotherapy, long COVID complications, and vaccine development. Virol J. (2024) 21:98. doi: 10.1186/s12985-024-02370-6

PubMed Abstract | Crossref Full Text | Google Scholar

26. European Centre for Disease Prevention and Control. Does COVID-19 vaccination reduce the risk and duration of post-COVID-19 condition? In: Rapid systematic literature review. Stockholm: ECDC (2025). doi: 10.2900/5489226

Crossref Full Text | Google Scholar

27. Al-Aly Z, Davis H, McCorkell L, Soares L, Wulf-Hanson S, Iwasaki A, et al. Long COVID science, research and policy. Nat Med. (2024) 30:2148–64. doi: 10.1038/s41591-024-03173-6

PubMed Abstract | Crossref Full Text | Google Scholar

28. Notarte KI, Catahay JA, Velasco JV, Pastrana A, Ver AT, Pangilinan FC, et al. Impact of COVID-19 vaccination on the risk of developing long-COVID and on existing long-COVID symptoms: A systematic review. EClinicalMedicine. (2022) 53:101624. doi: 10.1016/j.eclinm.2022.101624

PubMed Abstract | Crossref Full Text | Google Scholar

29. Chen Y, Liu Q, and Guo D. Emerging coronaviruses: Genome structure, replication, and pathogenesis. J Med Virol. (2020) 92:418–23. doi: 10.1002/jmv.26234

PubMed Abstract | Crossref Full Text | Google Scholar

30. Huang Y, Yang C, Xu XF, Xu W, and Liu SW. Structural and functional properties of SARS-CoV-2 spike protein: potential antivirus drug development for COVID-19. Acta Pharmacol Sin. (2020) 41:1141–9. doi: 10.1038/s41401-020-0485-4

PubMed Abstract | Crossref Full Text | Google Scholar

31. Ou X, Liu Y, Lei X, Li P, Mi D, Ren L, et al. Characterization of spike glycoprotein of SARS-CoV-2 on virus entry and its immune cross-reactivity with SARS-CoV. Nat Commun. (2020) 11:1620. doi: 10.1038/s41467-020-15562-9

PubMed Abstract | Crossref Full Text | Google Scholar

32. Hoffmann M, Kleine-Weber H, Schroeder S, Krüger N, Herrler T, Erichsen S, et al. SARS-CoV-2 cell entry depends on ACE2 and TMPRSS2 and is blocked by a clinically proven protease inhibitor. Cell. (2020) 181:271–280.e8. doi: 10.1016/j.cell.2020.02.052

PubMed Abstract | Crossref Full Text | Google Scholar

33. Essalmani R, Jain J, Susan-Resiga D, Andréo U, Evagelidis A, Derbali RM, et al. Distinctive roles of furin and TMPRSS2 in SARS-CoV-2 infectivity. J Virol. (2022) 96:e0012822. doi: 10.1128/jvi.00745-22

PubMed Abstract | Crossref Full Text | Google Scholar

34. V’kovski P, Kratzel A, Steiner S, Stalder H, and Thiel V. Coronavirus biology and replication: implications for SARS-CoV-2. Nat Rev Microbiol. (2021) 19:155–70. doi: 10.1038/s41579-020-00468-6

PubMed Abstract | Crossref Full Text | Google Scholar

35. Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet. (2020) 395:497–506. doi: 10.1016/S0140-6736(20)30252-X

PubMed Abstract | Crossref Full Text | Google Scholar

36. Mehta P, McAuley DF, Brown M, Sanchez E, Tattersall RS, Manson JJ, et al. COVID-19: consider cytokine storm syndromes and immunosuppression. Lancet. (2020) 395:1033–4. doi: 10.1016/S0140-6736(20)30628-0

PubMed Abstract | Crossref Full Text | Google Scholar

37. Hu B, Guo H, Zhou P, and Shi ZL. Characteristics of SARS-coV-2 and COVID-19. Nat Rev Microbiol. (2021) 19:141–54. doi: 10.1038/s41579-020-00459-7

PubMed Abstract | Crossref Full Text | Google Scholar

38. Jackson CB, Farzan M, Chen B, and Choe H. Mechanisms of SARS-CoV-2 entry into cells. Nat Rev Mol Cell Biol. (2022) 23:3–20. doi: 10.1038/s41580-021-00418-x

PubMed Abstract | Crossref Full Text | Google Scholar

39. Rangu R, Wander PL, Barrow BM, and Zraika S. Going viral in the islet: mediators of SARS-CoV-2 entry beyond ACE2. J Mol Endocrinol. (2022) 69:R63–79. doi: 10.1530/JME-21-0282

PubMed Abstract | Crossref Full Text | Google Scholar

40. Barthe M, Hertereau L, Lamghari N, Osman-Ponchet H, and Braud VM. Receptors and cofactors that contribute to SARS-CoV-2 entry: can skin be an alternative route of entry? Int J Mol Sci. (2023) 24:6253. doi: 10.3390/ijms24076253

PubMed Abstract | Crossref Full Text | Google Scholar

41. Cantuti-Castelvetri L, Ojha R, Pedro LD, Djannatian M, Franz J, Kuivanen S, et al. Neuropilin-1 facilitates SARS-CoV-2 cell entry and infectivity. Science. (2020) 370:856–60. doi: 10.1126/science.abd2985

PubMed Abstract | Crossref Full Text | Google Scholar

42. Crunfli F, Carregari VC, Veras FP, Silva LS, Nogueira MH, Antunes ASLM, et al. Morphological, cellular, and molecular basis of brain infection in COVID-19 patients. Proc Natl Acad Sci U.S.A. (2022) 119:e2200960119. doi: 10.1073/pnas.2200960119

PubMed Abstract | Crossref Full Text | Google Scholar

43. Kong W, Montano M, Corley MJ, Helmy E, Kobayashi H, Kinisu M, et al. Neuropilin-1 mediates SARS-CoV-2 infection of astrocytes in brain organoids, inducing inflammation leading to dysfunction and death of neurons. mBio. (2022) 13:e0230822. doi: 10.1128/mbio.02308-22

PubMed Abstract | Crossref Full Text | Google Scholar

44. Pontelli MC, Castro ÍA, Martins RB, La Serra L, Veras FP, Nascimento DC, et al. SARS-CoV-2 productively infects primary human immune system cells in vitro and in COVID-19 patients. J Mol Cell Biol. (2022) 14:mjac021. doi: 10.1093/jmcb/mjac021

PubMed Abstract | Crossref Full Text | Google Scholar

45. Shen XR, Geng R, Li Q, Chen Y, Li SF, Wang Q, et al. ACE2-independent infection of T lymphocytes by SARS-CoV-2. Signal Transduct Target Ther. (2022) 7:83. doi: 10.1038/s41392-022-00919-x

PubMed Abstract | Crossref Full Text | Google Scholar

46. Akira S, Uematsu S, and Takeuchi O. Pathogen recognition and innate immunity. Cell. (2006) 124:783–801. doi: 10.1016/j.cell.2006.02.015

PubMed Abstract | Crossref Full Text | Google Scholar

47. Tay MZ, Poh CM, Rénia L, MacAry PA, and Ng LFP. The trinity of COVID-19: immunity, inflammation and intervention. Nat Rev Immunol. (2020) 20:363–74. doi: 10.1038/s41577-020-0311-8

PubMed Abstract | Crossref Full Text | Google Scholar

48. Jensen S and Thomsen AR. Sensing of RNA viruses: a review of innate immune receptors involved in recognizing RNA virus invasion. J Virol. (2012) 86:2900–10. doi: 10.1128/JVI.05738-11

PubMed Abstract | Crossref Full Text | Google Scholar

49. Zinzula L and Tramontano E. Strategies of highly pathogenic RNA viruses to block dsRNA detection by RIG-I-like receptors: hide, mask, hit. Antiviral Res. (2013) 100:615–35. doi: 10.1016/j.antiviral.2013.10.002

PubMed Abstract | Crossref Full Text | Google Scholar

50. Mateer EJ, Paessler S, and Huang C. Visualization of double-stranded RNA colocalizing with pattern recognition receptors in arenavirus infected cells. Front Cell Infect Microbiol. (2018) 8:251. doi: 10.3389/fcimb.2018.00251

PubMed Abstract | Crossref Full Text | Google Scholar

51. Kawai T and Akira S. Innate immune recognition of viral infection. Nat Immunol. (2006) 7:131–7. doi: 10.1038/ni1303

PubMed Abstract | Crossref Full Text | Google Scholar

52. Iwasaki A and Medzhitov R. Toll-like receptor control of the adaptive immune responses. Nat Immunol. (2004) 5:987–95. doi: 10.1038/ni1112

PubMed Abstract | Crossref Full Text | Google Scholar

53. Chang T, Yang J, Deng H, Chen D, Yang X, and Tang ZH. Depletion and dysfunction of dendritic cells: understanding SARS-CoV-2 infection. Front Immunol. (2022) 13:843342. doi: 10.3389/fimmu.2022.843342

PubMed Abstract | Crossref Full Text | Google Scholar

54. Codo AC, Davanzo GG, Monteiro LB, de Souza GF, Muraro SP, Virgilio-da-Silva JV, et al. Elevated glucose levels favor SARS-CoV-2 infection and monocyte response through a HIF-1α/glycolysis-dependent axis. Cell Metab. (2020) 32:437–446.e5. doi: 10.1016/j.cmet.2020.07.015

PubMed Abstract | Crossref Full Text | Google Scholar

55. Gerber-Tichet E, Blanchet FP, Majzoub K, and Kremer EJ. Toll-like receptor 4 - a multifunctional virus recognition receptor. Trends Microbiol. (2025) 33:34–47. doi: 10.1016/j.tim.2024.07.001

PubMed Abstract | Crossref Full Text | Google Scholar

56. Aboudounya MM and Heads RJ. COVID-19 and toll-like receptor 4 (TLR4): SARS-CoV-2 may bind and activate TLR4 to increase ACE2 expression, facilitating entry and causing hyperinflammation. Mediators Inflamm. (2021) 2021:8874339. doi: 10.1155/2021/8874339

PubMed Abstract | Crossref Full Text | Google Scholar

57. Fontes-Dantas FL, Fernandes GG, Gutman EG, De Lima EV, Antonio LS, Hammerle MB, et al. SARS-CoV-2 Spike protein induces TLR4-mediated long-term cognitive dysfunction recapitulating post-COVID-19 syndrome in mice. Cell Rep. (2023) 42:112189. doi: 10.1016/j.celrep.2023.112189

PubMed Abstract | Crossref Full Text | Google Scholar

58. Ahluwalia P, Vaibhav K, Ahluwalia M, Mondal AK, Sahajpal N, Rojiani AM, et al. Infection and immune memory: variables in robust protection by vaccines against SARS-CoV-2. Front Immunol. (2021) 12:660019. doi: 10.3389/fimmu.2021.660019

PubMed Abstract | Crossref Full Text | Google Scholar

59. Grifoni A, Weiskopf D, Ramirez SI, Mateus J, Dan JM, Moderbacher CR, et al. Targets of T cell responses to SARS-CoV-2 coronavirus in humans with COVID-19 disease and unexposed individuals. Cell. (2020) 181:1489–1501.e15. doi: 10.1016/j.cell.2020.05.015

PubMed Abstract | Crossref Full Text | Google Scholar

60. Sekine T, Perez-Potti A, Rivera-Ballesteros O, Strålin K, Gorin JB, Olsson A, et al. Robust T cell immunity in convalescent individuals with asymptomatic or mild COVID-19. Cell. (2020) 183:158–168.e14. doi: 10.1016/j.cell.2020.08.017

PubMed Abstract | Crossref Full Text | Google Scholar

61. Yang LT, Peng H, Zhu ZL, Li G, Huang ZT, Zhao ZX, et al. Long-lived effector/central memory T-cell responses to severe acute respiratory syndrome coronavirus (SARS-CoV) S antigen in recovered SARS patients. Clin Immunol. (2006) 120:171–8. doi: 10.1016/j.clim.2006.05.002

PubMed Abstract | Crossref Full Text | Google Scholar

62. Zhao J, Yuan Q, Wang H, Liu W, Liao X, Su Y, et al. Antibody responses to SARS-CoV-2 in patients with novel coronavirus disease 2019. Clin Infect Dis. (2020) 71:2027–34. doi: 10.1093/cid/ciaa344

PubMed Abstract | Crossref Full Text | Google Scholar

63. Ni L, Ye F, Cheng ML, Feng Y, Deng YQ, Zhao H, et al. Detection of SARS-CoV-2-specific humoral and cellular immunity in COVID-19 convalescent individuals. Immunity. (2020) 52:971–977.e3. doi: 10.1016/j.immuni.2020.04.023

PubMed Abstract | Crossref Full Text | Google Scholar

64. Qi H, Liu B, Wang X, and Zhang L. The humoral response and antibodies against SARS-CoV-2 infection. Nat Immunol. (2022) 23:1008–20. doi: 10.1038/s41590-022-01248-5

PubMed Abstract | Crossref Full Text | Google Scholar

65. Cheng Y, Wong R, Soo YO, Wong WS, Lee CK, Ng MH, et al. Use of convalescent plasma therapy in SARS patients in Hong Kong. Eur J Clin Microbiol Infect Dis. (2005) 24:44–6. doi: 10.1007/s10096-004-1271-9

PubMed Abstract | Crossref Full Text | Google Scholar

66. Poland GA, Ovsyannikova IG, and Kennedy RB. SARS-CoV-2 immunity: review and applications to phase 3 vaccine candidates. Lancet. (2020) 396:1595–16. doi: 10.1016/S0140-6736(20)32137-1

PubMed Abstract | Crossref Full Text | Google Scholar

67. Dai L and Gao GF. Viral targets for vaccines against COVID-19. Nat Rev Immunol. (2021) 21:73–82. doi: 10.1038/s41577-020-00480-0

PubMed Abstract | Crossref Full Text | Google Scholar

68. Zhang A, Stacey HD, D’Agostino MR, Tugg Y, Marzok A, and Miller MS. Beyond neutralization: Fc-dependent antibody effector functions in SARS-CoV-2 infection. Nat Rev Immunol. (2023) 23:381–96. doi: 10.1038/s41577-022-00813-1

PubMed Abstract | Crossref Full Text | Google Scholar

69. Tay MZ, Wiehe K, and Pollara J. Antibody-dependent cellular phagocytosis in antiviral immune responses. Front Immunol. (2019) 10:332. doi: 10.3389/fimmu.2019.00332

PubMed Abstract | Crossref Full Text | Google Scholar

70. Yu Y, Wang M, Zhang X, Li S, Lu Q, Zeng H, et al. Antibody-dependent cellular cytotoxicity response to SARS-CoV-2 in COVID-19 patients. Signal Transduct Target Ther. (2021) 6:346. doi: 10.1038/s41392-021-00759-1

PubMed Abstract | Crossref Full Text | Google Scholar

71. Fielding CA, Sabberwal P, Williamson JC, Greenwood EJD, Crozier TWM, Zelek W, et al. SARS-CoV-2 host-shutoff impacts innate NK cell functions, but antibody-dependent NK activity is strongly activated through non-spike antibodies. Elife. (2022) 11:e74489. doi: 10.7554/eLife.74489

PubMed Abstract | Crossref Full Text | Google Scholar

72. Grant MD, Bentley K, Fielding CA, Hatfield KM, Ings DP, Harnum D, et al. Combined anti-S1 and anti-S2 antibodies from hybrid immunity elicit potent cross-variant ADCC against SARS-CoV-2. JCI Insight. (2023) 8:e170681. doi: 10.1172/jci.insight.170681

PubMed Abstract | Crossref Full Text | Google Scholar

73. Beharier O, Plitman Mayo R, Raz T, Nahum Sacks K, Schreiber L, Suissa-Cohen Y, et al. Efficient maternal to neonatal transfer of antibodies against SARS-CoV-2 and BNT162b2 mRNA COVID-19 vaccine. J Clin Invest. (2021) 131:e150319. doi: 10.1172/JCI154834

PubMed Abstract | Crossref Full Text | Google Scholar

74. Gray KJ, Bordt EA, Atyeo C, Deriso E, Akinwunmi B, Young N, et al. Coronavirus disease 2019 vaccine response in pregnant and lactating women: a cohort study. Am J Obstet Gynecol. (2021) 225:303. doi: 10.1016/j.ajog.2021.03.023

PubMed Abstract | Crossref Full Text | Google Scholar

75. Niessl J, Sekine T, Lange J, Konya V, Forkel M, Maric J, et al. Identification of resident memory CD8+ T cells with functional specificity for SARS-CoV-2 in unexposed oropharyngeal lymphoid tissue. Sci Immunol. (2021) 6:eabk0894. doi: 10.1126/sciimmunol.abk0894

PubMed Abstract | Crossref Full Text | Google Scholar

76. Chen Z and John Wherry E. T cell responses in patients with COVID-19. Nat Rev Immunol. (2020) 20:529–36. doi: 10.1038/s41577-020-0402-6

PubMed Abstract | Crossref Full Text | Google Scholar

77. Tan AT, Linster M, Tan CW, Le Bert N, Chia WN, Kunasegaran K, et al. Early induction of functional SARS-CoV-2-specific T cells associates with rapid viral clearance and mild disease in COVID-19 patients. Cell Rep. (2021) 34:108728. doi: 10.1016/j.celrep.2021.108728

PubMed Abstract | Crossref Full Text | Google Scholar

78. Lima K, Fontoura JC, de Souza PO, Fazolo T, Hilario G, Zorzetto R, et al. SARS-CoV-2 infected children form early immune memory responses dominated by nucleocapsid-specific CD8+ T cells and antibodies. Front Immunol. (2022) 13:1033364. doi: 10.3389/fimmu.2022.1033364

PubMed Abstract | Crossref Full Text | Google Scholar

79. Laing AG, Lorenc A, Del Molino Del Barrio I, Das A, Fish M, Monin L, et al. A dynamic COVID-19 immune signature includes associations with poor prognosis. Nat Med. (2020) 26:1623–35. doi: 10.1038/s41591-020-1079-x

PubMed Abstract | Crossref Full Text | Google Scholar

80. Rha MS and Shin EC. Activation or exhaustion of CD8+ T cells in patients with COVID-19. Cell Mol Immunol. (2021) 18:2325–33. doi: 10.1038/s41423-021-00750-4

PubMed Abstract | Crossref Full Text | Google Scholar

81. Cohen KW, Linderman SL, Moodie Z, Czartoski J, Lai L, Mantus G, et al. Longitudinal analysis shows durable and broad immune memory after SARS-CoV-2 infection with persisting antibody responses and memory B and T cells. Cell Rep Med. (2021) 2:100354. doi: 10.1016/j.xcrm.2021.100354

PubMed Abstract | Crossref Full Text | Google Scholar

82. Belik M, Reinholm A, Kolehmainen P, Heroum J, Maljanen S, Altan E, et al. Long-term COVID-19 vaccine- and Omicron infection-induced humoral and cell-mediated immunity. Front Immunol. (2024) 15:1494432. doi: 10.3389/fimmu.2024.1494432

PubMed Abstract | Crossref Full Text | Google Scholar

83. Karousis ED. The art of hijacking: how Nsp1 impacts host gene expression during coronaviral infections. Biochem Soc Trans. (2024) 52:481–90. doi: 10.1042/BST20231119

PubMed Abstract | Crossref Full Text | Google Scholar

84. Schubert K, Karousis ED, Jomaa A, Scaiola A, Echeverria B, Gurzeler LA, et al. SARS-CoV-2 Nsp1 binds the ribosomal mRNA channel to inhibit translation. Nat Struct Mol Biol. (2020) 27:959–66. doi: 10.1038/s41594-020-00533-x

PubMed Abstract | Crossref Full Text | Google Scholar

85. Hsu JC, Laurent-Rolle M, Pawlak JB, Wilen CB, and Cresswell P. Translational shutdown and evasion of the innate immune response by SARS-CoV-2 NSP14 protein. Proc Natl Acad Sci U S A. (2021) 118:e2101161118. doi: 10.1073/pnas.2101161118

PubMed Abstract | Crossref Full Text | Google Scholar

86. Wilamowski M, Sherrell DA, Minasov G, Kim Y, Shuvalova L, Lavens A, et al. 2’-O methylation of RNA cap in SARS-CoV-2 captured by serial crystallography. Proc Natl Acad Sci U.S.A. (2021) 118:e2100170118. doi: 10.1073/pnas.2100170118

PubMed Abstract | Crossref Full Text | Google Scholar

87. Huang Y, Wang T, Zhong L, Zhang W, Zhang Y, Yu X, et al. Molecular architecture of coronavirus double-membrane vesicle pore complex. Nature. (2024) 633:224–31. doi: 10.1038/s41586-024-07817-y

PubMed Abstract | Crossref Full Text | Google Scholar

88. Venet M, Ribeiro MS, Décembre E, Bellomo A, Joshi G, Nuovo C, et al. Severe COVID-19 patients have impaired plasmacytoid dendritic cell-mediated control of SARS-CoV-2. Nat Commun. (2023) 14:694. doi: 10.1038/s41467-023-36140-9

PubMed Abstract | Crossref Full Text | Google Scholar

89. Zhang Q, Bastard P, Liu Z, Le Pen J, Moncada-Velez M, Chen J, et al. Inborn errors of type I IFN immunity in patients with life-threatening COVID-19. Science. (2020) 370:eabd4570. doi: 10.1126/science.abd4570

PubMed Abstract | Crossref Full Text | Google Scholar

90. Manry J, Bastard P, Gervais A, Le Voyer T, Rosain J, Philippot Q, et al. The risk of COVID-19 death is much greater and age dependent with type I IFN autoantibodies. Proc Natl Acad Sci U.S.A. (2022) 119:e2200413119. doi: 10.1073/pnas.2200413119

PubMed Abstract | Crossref Full Text | Google Scholar

91. Fajgenbaum DC and June CH. Cytokine storm. N Engl J Med. (2020) 383:2255–73. doi: 10.1056/NEJMra2026131

PubMed Abstract | Crossref Full Text | Google Scholar

92. Zheng HY, Zhang M, Yang CX, Zhang N, Wang XC, Yang XP, et al. Elevated exhaustion levels and reduced functional diversity of T cells in peripheral blood may predict severe progression in COVID-19 patients. Cell Mol Immunol. (2020) 17:541–3. doi: 10.1038/s41423-020-0401-3

PubMed Abstract | Crossref Full Text | Google Scholar

93. Kaneko N, Kuo HH, Boucau J, Farmer JR, Allard-Chamard H, Mahajan VS, et al. Loss of bcl-6-expressing T follicular helper cells and germinal centers in COVID-19. Cell. (2020) 183:143–157.e13. doi: 10.1016/j.cell.2020.08.025

PubMed Abstract | Crossref Full Text | Google Scholar

94. Wellington D, Yin Z, Yu Z, Heilig R, Davis S, Fischer R, et al. SARS-CoV-2 mutations affect antigen processing by the proteasome to alter CD8+ T cell responses. Heliyon. (2023) 9:e20076. doi: 10.1016/j.heliyon.2023.e20076

PubMed Abstract | Crossref Full Text | Google Scholar

95. Lamers MM and Haagmans BL. SARS-coV-2 pathogenesis. Nat Rev Microbiol. (2022) 20:270–84. doi: 10.1038/s41579-022-00713-0

PubMed Abstract | Crossref Full Text | Google Scholar

96. Tariq R, Saha S, Furqan F, Hassett L, Pardi D, and Khanna S. Prevalence and mortality of COVID-19 patients with gastrointestinal symptoms: A systematic review and meta-analysis. Mayo Clin Proc. (2020) 95:1632–48. doi: 10.1016/j.mayocp.2020.06.003

PubMed Abstract | Crossref Full Text | Google Scholar

97. Maison DP, Tasissa H, Deitchman A, Peluso MJ, Deng Y, Miller FD, et al. COVID-19 clinical presentation, management, and epidemiology: a concise compendium. Front Public Health. (2025) 13:1498445. doi: 10.3389/fpubh.2025.1498445

PubMed Abstract | Crossref Full Text | Google Scholar

98. Lucas C, Wong P, Klein J, Castro TBR, Silva J, Sundaram M, et al. Longitudinal analyses reveal immunological misfiring in severe COVID-19. Nature. (2020) 584:463–9. doi: 10.1038/s41586-020-2588-y

PubMed Abstract | Crossref Full Text | Google Scholar

99. Remy KE, Mazer M, Striker DA, Ellebedy AH, Walton AH, Unsinger J, et al. Severe immunosuppression and not a cytokine storm characterizes COVID-19 infections. JCI Insight. (2020) 5:e140329. doi: 10.1172/jci.insight.140329

PubMed Abstract | Crossref Full Text | Google Scholar

100. Riphagen S, Gomez X, Gonzalez-Martinez C, Wilkinson N, and Theocharis P. Hyperinflammatory shock in children during COVID-19 pandemic. Lancet. (2020) 395:1607–8. doi: 10.1016/S0140-6736(20)31094-1

PubMed Abstract | Crossref Full Text | Google Scholar

101. Shaigany S, Gnirke M, Guttmann A, Chong H, Meehan S, Raabe V, et al. An adult with Kawasaki-like multisystem inflammatory syndrome associated with COVID-19. Lancet. (2020) 396:e8–e10. doi: 10.1016/S0140-6736(20)31526-9

PubMed Abstract | Crossref Full Text | Google Scholar

102. Goetzke CC, Massoud M, Frischbutter S, Guerra GM, Ferreira-Gomes M, Heinrich F, et al. TGFβ links EBV to multisystem inflammatory syndrome in children. Nature. (2025) 640:762–71. doi: 10.1038/s41586-025-08697-6

PubMed Abstract | Crossref Full Text | Google Scholar

103. World Health Organization. Post COVID-19 conditions (2025). Available online at: https://www.who.int/teams/health-care-readiness/post-covid-19-condition (Accessed July 13, 2025).

Google Scholar

104. Woodruff MC, Bonham KS, Anam FA, Walker TA, Faliti CE, Ishii Y, et al. Chronic inflammation, neutrophil activity, and autoreactivity splits long COVID. Nat Commun. (2023) 14:4201. doi: 10.1038/s41467-023-40012-7

PubMed Abstract | Crossref Full Text | Google Scholar

105. Swank Z, Senussi Y, Manickas-Hill Z, Yu XG, Li JZ, Alter G, et al. Persistent circulating severe acute respiratory syndrome coronavirus 2 spike is associated with post-acute coronavirus disease 2019 sequelae. Clin Infect Dis. (2023) 76:e487–90. doi: 10.1093/cid/ciac722

PubMed Abstract | Crossref Full Text | Google Scholar

106. Peluso MJ, Ryder D, Flavell R, Wang Y, Levi J, LaFranchi BH, et al. Multimodal molecular imaging reveals tissue-based T cell activation and viral RNA persistence for up to 2 years following COVID-19. medRxiv. (2023). doi: 10.1101/2023.07.27.23293177v1. preprint.

PubMed Abstract | Crossref Full Text | Google Scholar

107. Klein J, Wood J, Jaycox JR, Dhodapkar RM, Lu P, Gehlhausen JR, et al. Distinguishing features of long COVID identified through immune profiling. Nature. (2023) 623:139–48. doi: 10.1038/s41586-023-06651-y

PubMed Abstract | Crossref Full Text | Google Scholar

108. Pyöriä L, Pratas D, Toppinen M, Hedman K, Sajantila A, and Perdomo MF. Unmasking the tissue-resident eukaryotic DNA virome in humans. Nucleic Acids Res. (2023) 51:3223–39. doi: 10.1093/nar/gkad199

PubMed Abstract | Crossref Full Text | Google Scholar

109. Su Y, Yuan D, Chen DG, Ng RH, Wang K, Choi J, et al. Multiple early factors anticipate post-acute COVID-19 sequelae. Cell. (2022) 185:881–895.e20. doi: 10.1016/j.cell.2022.01.014

PubMed Abstract | Crossref Full Text | Google Scholar

110. Wang L, Wang FS, and Gershwin ME. Human autoimmune diseases: a comprehensive update. J Intern Med. (2015) 278:369–95. doi: 10.1111/joim.12395

PubMed Abstract | Crossref Full Text | Google Scholar

111. Kreye J, Reincke SM, Kornau HC, Sánchez-Sendin E, Corman VM, Liu H, et al. A therapeutic non-self-reactive SARS-CoV-2 antibody protects from lung pathology in a COVID-19 hamster model. Cell. (2020) 183:1058–1069.e19. doi: 10.1016/j.cell.2020.09.049

PubMed Abstract | Crossref Full Text | Google Scholar

112. Marschalek R. The long-COVID syndrome: neoantigens as driving force for the onset of autoimmune diseases. J Cell Immunol. (2025) 7:26–31. doi: 10.33696/immunology.7.219

Crossref Full Text | Google Scholar

113. Son K, Jamil R, Chowdhury A, Mukherjee M, Venegas C, Miyasaki K, et al. Circulating anti-nuclear autoantibodies in COVID-19 survivors predict long COVID symptoms. Eur Respir J. (2023) 61:2200970. doi: 10.1183/13993003.00970-2022

PubMed Abstract | Crossref Full Text | Google Scholar

114. Hofmann S, Lucio M, Wallukat G, Hoffmanns J, Schröder T, Raith F, et al. Functional autoantibodies targeting G-protein-coupled receptors and their clinical phenotype in patients with long-COVID. Int J Mol Sci. (2025) 26:6746. doi: 10.3390/ijms26146746

PubMed Abstract | Crossref Full Text | Google Scholar

115. Wilhelm F, Cadamuro J, and Mink S. Autoantibodies in long COVID: a systematic review. Lancet Infect Dis. (2025). doi: 10.1016/S1473-3099(25)00411-6

PubMed Abstract | Crossref Full Text | Google Scholar

116. Bonsaksen T, Leung J, Price D, Ruffolo M, Lamph G, Kabelenga I, et al. Self-reported long COVID in the general population: sociodemographic and health correlates in a cross-national sample. Life (Basel). (2022) 12:901. doi: 10.3390/life12060901

PubMed Abstract | Crossref Full Text | Google Scholar

117. Pretorius E, Vlok M, Venter C, Bezuidenhout JA, Laubscher GJ, Steenkamp J, et al. Persistent clotting protein pathology in Long COVID/Post-Acute Sequelae of COVID-19 (PASC) is accompanied by increased levels of antiplasmin. Cardiovasc Diabetol. (2021) 20:172. doi: 10.1186/s12933-021-01359-7

PubMed Abstract | Crossref Full Text | Google Scholar

118. Bitirgen G, Korkmaz C, Zamani A, Ozkagnici A, Zengin N, Ponirakis G, et al. Corneal confocal microscopy identifies corneal nerve fiber loss and increased dendritic cells in patients with long COVID. Br J Ophthalmol. (2022) 106:1635–41. doi: 10.1136/bjophthalmol-2021-319450

PubMed Abstract | Crossref Full Text | Google Scholar

119. Grist JT, Collier GJ, Walters H, Kim M, Chen M, Abu Eid G, et al. Abnormalities detected with hyperpolarized 129Xe MRI in patients with long COVID. Radiology. (2022) 305:709–17. doi: 10.1148/radiol.239025

PubMed Abstract | Crossref Full Text | Google Scholar

120. Lammi V, Nakanishi T, Jones SE, Andrews SJ, Karjalainen J, Cortés B, et al. Genome-wide association study of long COVID. Nat Genet. (2025) 57:1402–17. doi: 10.1038/s41588-025-02100-w

PubMed Abstract | Crossref Full Text | Google Scholar

121. Missailidis D, Ebrahimie E, Dehcheshmeh MM, Allan C, Sanislav O, Fisher P, et al. A blood-based mRNA signature distinguishes people with Long COVID from recovered individuals. Front Immunol. (2024) 15:1450853. doi: 10.3389/fimmu.2024.1450853

PubMed Abstract | Crossref Full Text | Google Scholar

122. Guerrera G, Sambucci M, Timperi E, Picozza M, Misiti A, Placido R, et al. Identification of an immunological signature of long COVID syndrome. Front Immunol. (2025) 15:1502937. doi: 10.3389/fimmu.2024.1502937

PubMed Abstract | Crossref Full Text | Google Scholar

123. Gao Y, Cai C, Adamo S, Biteus E, Kamal H, Dager L, et al. Identification of soluble biomarkers that associate with distinct manifestations of long COVID. Nat Immunol. (2025) 26:692–705. doi: 10.1038/s41590-025-02135-5

PubMed Abstract | Crossref Full Text | Google Scholar

124. Lai YJ, Liu SH, Manachevakul S, Lee TA, Kuo CT, and Bello D. Biomarkers in long COVID-19: A systematic review. Front Med (Lausanne). (2023) 10:1085988. doi: 10.3389/fmed.2023.1085988

PubMed Abstract | Crossref Full Text | Google Scholar

125. Abbasi A, Sharma R, Hansen N, Pirrotte P, and Stringer WW. Possible long COVID biomarker: identification of SARS-CoV-2 related protein(s) in Serum Extracellular Vesicles. Infection. (2025). doi: 10.1007/s15010-025-02612-x

PubMed Abstract | Crossref Full Text | Google Scholar

126. Hohberger B, Ganslmayer M, Harrer T, Kruse F, Maas S, Borst T, et al. Safety, tolerability and clinical effects of rovunaptabin, also known as BC007 on fatigue and quality of life in patients with Post-COVID syndrome (reCOVer): a prospective, exploratory, placebo-controlled, double-blind, randomized phase IIa clinical trial (RCT). EClinicalMedicine. (2025) 86:103358. doi: 10.1016/j.eclinm.2025.103358

PubMed Abstract | Crossref Full Text | Google Scholar

127. Liu YH, Chen Y, Wang QH, Wang LR, Jiang L, Yang Y, et al. One-year trajectory of cognitive changes in older survivors of COVID-19 in Wuhan, China: A longitudinal cohort study. JAMA Neurol. (2022) 79:509–17. doi: 10.1001/jamaneurol.2022.0461

PubMed Abstract | Crossref Full Text | Google Scholar

128. European Centre for Disease Prevention and Control. Prevalence of post COVID-19 condition symptoms: a systematic review and meta-analysis of cohort study data, stratified by recruitment setting (2022). Available online at: https://www.ecdc.europa.eu/en/publications-data/prevalence-post-covid-19-condition-symptoms-systematic-review-and-meta-analysis (Accessed June 20, 2025).

Google Scholar

129. Bowe B, Xie Y, and Al-Aly Z. Acute and postacute sequelae associated with SARS-CoV-2 reinfection. Nat Med. (2022) 28:2398–405. doi: 10.1038/s41591-022-02051-3

PubMed Abstract | Crossref Full Text | Google Scholar

130. Gottlieb M, Yu H, Chen J, Spatz ES, Gentile NL, Geyer RE, et al. Differences in Long COVID severity by duration of illness, symptom evolution, and vaccination: a longitudinal cohort study from the INSPIRE group. Lancet Reg Health Am. (2025) 44:101026. doi: 10.1016/j.lana.2025.101026

PubMed Abstract | Crossref Full Text | Google Scholar

131. Antonelli M, Pujol JC, Spector TD, Ourselin S, and Steves CJ. Risk of long COVID associated with delta versus omicron variants of SARS-CoV-2. Lancet. (2022) 399:2263–4. doi: 10.1016/S0140-6736(22)00941-2

PubMed Abstract | Crossref Full Text | Google Scholar

132. Ayoubkhani D and Bosworth M. Self-reported long COVID after infection with the Omicron variant in the UK - Office for National Statistics (2022). UK Office for National Statistics. Available online at: https://www.ons.gov.uk/peoplepopulationandcommunity/healthandsocialcare/conditionsanddiseases/bulletins/selfreportedlongcovidafterinfectionwiththeomicronvariant/18july2022 (Accessed June 13, 2025).

Google Scholar

133. Krammer F. SARS-CoV-2 vaccines in development. Nature. (2020) 586:516–27. doi: 10.1038/s41586-020-2798-3

PubMed Abstract | Crossref Full Text | Google Scholar

134. Krause P, Fleming TR, Longini I, Henao-Restrepo AM, Peto R, and World Health Organization Solidarity Vaccines Trial Expert Group. COVID-19 vaccine trials should seek worthwhile efficacy. Lancet. (2020) 396:741–3. doi: 10.1016/S0140-6736(20)31821-3

PubMed Abstract | Crossref Full Text | Google Scholar

135. Plotkin S. History of vaccination. Proc Natl Acad Sci U.S.A. (2014) 111:12283–7. doi: 10.1073/pnas.1400472111

PubMed Abstract | Crossref Full Text | Google Scholar

136. Nunnally BK, Turula VE, and Sitrin RD eds. Vaccine Analysis: Strategies, Principles, and Control. 1st ed. Stockholm: Springer Berlin Heidelberg (2015). doi: 10.1007/978-3-662-45024-6

Crossref Full Text | Google Scholar

137. Xia S, Zhang Y, Wang Y, Wang H, Yang Y, Gao GF, et al. Safety and immunogenicity of an inactivated SARS-CoV-2 vaccine, BBIBP-CorV: a randomized, double-blind, placebo-controlled, phase 1/2 trial. Lancet Infect Dis. (2021) 21:39–51. doi: 10.1016/S1473-3099(20)30831-8

PubMed Abstract | Crossref Full Text | Google Scholar

138. Kyriakidis NC, López-Cortés A, González EV, Grimaldos AB, and Prado EO. SARS-CoV-2 vaccines strategies: a comprehensive review of phase 3 candidates. NPJ Vaccines. (2021) 6:28. doi: 10.1038/s41541-021-00292-w

PubMed Abstract | Crossref Full Text | Google Scholar

139. Gao Q, Bao L, Mao H, Wang L, Xu K, Yang M, et al. Development of an inactivated vaccine candidate for SARS-CoV-2. Science. (2020) 369:77–81. doi: 10.1126/science.abc1932

PubMed Abstract | Crossref Full Text | Google Scholar

140. Zhang Y, Zeng G, Pan H, Li C, Hu Y, Chu K, et al. Safety, tolerability, and immunogenicity of an inactivated SARS-CoV-2 vaccine in healthy adults aged 18–59 years: a randomized, double-blind, placebo-controlled, phase 1/2 clinical trial. Lancet Infect Dis. (2021) 21:181–92. doi: 10.1016/S1473-3099(20)30843-4

PubMed Abstract | Crossref Full Text | Google Scholar

141. Costa PR, Correia CA, Marmorato MP, Dias JZC, Thomazella MV, Cabral da Silva A, et al. Humoral and cellular immune responses to CoronaVac up to one year after vaccination. Front Immunol. (2022) 13:1032411. doi: 10.3389/fimmu.2022.1032411

PubMed Abstract | Crossref Full Text | Google Scholar

142. Ura T, Okuda K, and Shimada M. Developments in viral vector-based vaccines. Vaccines (Basel). (2014) 2:624–41. doi: 10.3390/vaccines2030624

PubMed Abstract | Crossref Full Text | Google Scholar

143. Zhang S, Huang W, Zhou X, Zhao Q, Wang Q, and Jia B. Seroprevalence of neutralizing antibodies to human adenoviruses type-5 and type-26 and chimpanzee adenovirus type-68 in healthy Chinese adults. J Med Virol. (2013) 85:1077–84. doi: 10.1002/jmv.23546

PubMed Abstract | Crossref Full Text | Google Scholar

144. Colloca S, Barnes E, Folgori A, Ammendola V, Capone S, Cirillo A, et al. Vaccine vectors derived from a large collection of simian adenoviruses induce potent cellular immunity across multiple species. Sci Transl Med. (2012) 4:115ra2. doi: 10.1126/scitranslmed.3002925

PubMed Abstract | Crossref Full Text | Google Scholar

145. Folegatti PM, Ewer KJ, Aley PK, Angus B, Becker S, Belij-Rammerstorfer S, et al. Safety and immunogenicity of the ChAdOx1 nCoV-19 vaccine against SARS-CoV-2: a preliminary report of a phase 1/2, single-blind, randomized controlled trial. Lancet. (2020) 396:467–78. doi: 10.1016/S0140-6736(20)31687-1

PubMed Abstract | Crossref Full Text | Google Scholar

146. Le Gars M, Hendriks J, Sadoff J, Ryser M, Struyf F, Douoguih M, et al. Immunogenicity and efficacy of Ad26.COV2.S: An adenoviral vector-based COVID-19 vaccine. Immunol Rev. (2022) 310:47–60. doi: 10.1111/imr.13088

PubMed Abstract | Crossref Full Text | Google Scholar

147. Sadoff J, Gray G, Vandebosch A, Cárdenas V, Shukarev G, Grinsztejn B, et al. Final analysis of efficacy and safety of single-dose ad26. COV2.S. N Engl J Med. (2022) 386:847–60. doi: 10.1056/NEJMoa2117608

PubMed Abstract | Crossref Full Text | Google Scholar

148. Ewer KJ, Barrett JR, Belij-Rammerstorfer S, Sharpe H, Makinson R, Morter R, et al. T cell and antibody responses induced by a single dose of ChAdOx1 nCoV-19 (AZD1222) vaccine in a phase 1/2 clinical trial. Nat Med. (2021) 27:270–8. doi: 10.1038/s41591-021-01363-0

PubMed Abstract | Crossref Full Text | Google Scholar

149. Voysey M, Clemens SAC, Madhi SA, Weckx LY, Folegatti PM, Aley PK, et al. Safety and efficacy of the ChAdOx1 nCoV-19 vaccine (AZD1222) against SARS-CoV-2: an interim analysis of four randomized controlled trials in Brazil, South Africa, and the UK. Lancet. (2021) 397:99–111. doi: 10.1016/S0140-6736(20)32720-3

PubMed Abstract | Crossref Full Text | Google Scholar

150. Rauch S, Jasny E, Schmidt KE, and Petsch B. New vaccine technologies to combat outbreak situations. Front Immunol. (2018) 9:1963. doi: 10.3389/fimmu.2018.01963

PubMed Abstract | Crossref Full Text | Google Scholar

151. Jackson LA, Anderson EJ, Rouphael NG, Roberts PC, Makhene M, Coler RN, et al. An mRNA Vaccine against SARS-CoV-2 - Preliminary Report. N Engl J Med. (2020) 383:1920–31. doi: 10.1056/NEJMoa2022483

PubMed Abstract | Crossref Full Text | Google Scholar

152. Pardi N, Hogan MJ, Porter FW, and Weissman D. mRNA vaccines - a new era in vaccinology. Nat Rev Drug Discov. (2018) 17:261–79. doi: 10.1038/nrd.2017.243

PubMed Abstract | Crossref Full Text | Google Scholar

153. Karikó K, Muramatsu H, Welsh FA, Ludwig J, Kato H, Akira S, et al. Incorporation of pseudouridine into mRNA yields superior nonimmunogenic vector with increased translational capacity and biological stability. Mol Ther. (2008) 16:1833–40. doi: 10.1038/mt.2008.200

PubMed Abstract | Crossref Full Text | Google Scholar

154. Karikó K, Muramatsu H, Ludwig J, and Weissman D. Generating the optimal mRNA for therapy: HPLC purification eliminates immune activation and improves translation of nucleoside-modified, protein-encoding mRNA. Nucleic Acids Res. (2011) 39:e142. doi: 10.1093/nar/gkr695

PubMed Abstract | Crossref Full Text | Google Scholar

155. Corbett KS, Edwards DK, Leist SR, Abiona OM, Boyoglu-Barnum S, Gillespie RA, et al. SARS-CoV-2 mRNA vaccine design enabled by prototype pathogen preparedness. Nature. (2020) 586:567–71. doi: 10.1038/s41586-020-2622-0

PubMed Abstract | Crossref Full Text | Google Scholar

156. Baden LR, El Sahly HM, Essink B, Kotloff K, Frey S, Novak R, et al. Efficacy and safety of the mRNA-1273 SARS-CoV-2 vaccine. N Engl J Med. (2021) 384:403–16. doi: 10.1056/NEJMoa2035389

PubMed Abstract | Crossref Full Text | Google Scholar

157. Vogel AB, Kanevsky I, Che Y, Swanson KA, Muik A, Vormehr M, et al. BNT162b vaccines protect rhesus macaques from SARS-CoV-2. Nature. (2021) 592:283–9. doi: 10.1038/s41586-021-03275-y

PubMed Abstract | Crossref Full Text | Google Scholar

158. Polack FP, Thomas SJ, Kitchin N, Absalon J, Gurtman A, Lockhart S, et al. Safety and efficacy of the BNT162b2 mRNA covid-19 vaccine. N Engl J Med. (2020) 383:2603–15. doi: 10.1056/NEJMoa2034577

PubMed Abstract | Crossref Full Text | Google Scholar

159. Kavikondala S, Haeussler K, Wang X, Spellman A, Bausch-Jurken MT, Sharma P, et al. Immunogenicity of mRNA-1273 and BNT162b2 in immunocompromised patients: systematic review and meta-analysis using GRADE. Infect Dis Ther. (2024) 13:1419–38. doi: 10.1007/s40121-024-00987-2

PubMed Abstract | Crossref Full Text | Google Scholar

160. Moss P. The T cell immune response against SARS-CoV-2. Nat Immunol. (2022) 23:186–93. doi: 10.1038/s41590-021-01122-w

PubMed Abstract | Crossref Full Text | Google Scholar

161. Gómez CE, Perdiguero B, and Esteban M. Emerging SARS-CoV-2 variants and impact in global vaccination programs against SARS-CoV-2/COVID-19. Vaccines (Basel). (2021) 9:243. doi: 10.3390/vaccines9030243

PubMed Abstract | Crossref Full Text | Google Scholar

162. Planas D, Bruel T, Grzelak L, Guivel-Benhassine F, Staropoli I, Porrot F, et al. Sensitivity of infectious SARS-CoV-2 B.1.1.7 and B.1.351 variants to neutralizing antibodies. Nat Med. (2021) 27:917–24. doi: 10.1038/s41591-021-01318-5

PubMed Abstract | Crossref Full Text | Google Scholar

163. Hoffmann M, Arora P, Groß R, Seidel A, Hörnich BF, Hahn AS, et al. SARS-CoV-2 variants B.1.351 and P.1 escape from neutralizing antibodies. Cell. (2021) 184:2384–2393.e12. doi: 10.1016/j.cell.2021.03.036

PubMed Abstract | Crossref Full Text | Google Scholar

164. Hoffmann M, Hofmann-Winkler H, Krüger N, Kempf A, Nehlmeier I, Graichen L, et al. SARS-CoV-2 variant B.1.617 is resistant to bamlanivimab and evades antibodies induced by infection and vaccination. Cell Rep. (2021) 36:109415. doi: 10.1016/j.celrep.2021.109415

PubMed Abstract | Crossref Full Text | Google Scholar

165. Karim SSA and Karim QA. Omicron SARS-CoV-2 variant: a new chapter in the COVID-19 pandemic. Lancet. (2021) 398:2126–8. doi: 10.1016/S0140-6736(21)02876-2

PubMed Abstract | Crossref Full Text | Google Scholar

166. Chatterjee S, Bhattacharya M, Nag S, Dhama K, and Chakraborty C. A detailed overview of SARS-CoV-2 omicron: its sub-variants, mutations and pathophysiology, clinical characteristics, immunological landscape, immune escape, and therapies. Viruses. (2023) 15:167. doi: 10.3390/v15010167

PubMed Abstract | Crossref Full Text | Google Scholar

167. Plante JA, Liu Y, Liu J, Xia H, Johnson BA, Lokugamage KG, et al. Spike mutation D614G alters SARS-CoV-2 fitness. Nature. (2021) 592:116–21. doi: 10.1038/s41586-021-03657-2

PubMed Abstract | Crossref Full Text | Google Scholar

168. Sarkar M and Madabhavi I. COVID-19 mutations: An overview. World J Methodol. (2024) 14:89761. doi: 10.5662/wjm.v14.i3.89761

PubMed Abstract | Crossref Full Text | Google Scholar

169. Wang WB, Ma YB, Lei ZH, Zhang XF, Li J, Li SS, et al. Identification of key mutations responsible for the enhancement of receptor-binding affinity and immune escape of SARS-CoV-2 Omicron variant. J Mol Graph Model. (2023) 124:108540. doi: 10.1016/j.jmgm.2023.108540

PubMed Abstract | Crossref Full Text | Google Scholar

170. Fan Y, Li X, Zhang L, Wan S, Zhang L, and Zhou F. SARS-CoV-2 Omicron variant: recent progress and future perspectives. Signal Transduct Target Ther. (2022) 7:141. doi: 10.1038/s41392-022-00997-x

PubMed Abstract | Crossref Full Text | Google Scholar

171. Meng B, Abdullahi A, Ferreira IATM, Goonawardane N, Saito A, Kimura I, et al. Altered TMPRSS2 usage by SARS-CoV-2 Omicron impacts infectivity and fusogenicity. Nature. (2022) 603:706–14. doi: 10.1038/s41586-022-04474-x

PubMed Abstract | Crossref Full Text | Google Scholar

172. Zhao H, Lu L, Peng Z, Chen LL, Meng X, Zhang C, et al. SARS-CoV-2 Omicron variant shows less efficient replication and fusion activity when compared with Delta variant in TMPRSS2-expressed cells. Emerg Microbes Infect. (2022) 11:277–83. doi: 10.1080/22221751.2021.2023329

PubMed Abstract | Crossref Full Text | Google Scholar

173. Willett BJ, Grove J, MacLean OA, Wilkie C, De Lorenzo G, Furnon W, et al. SARS-CoV-2 Omicron is an immune escape variant with an altered cell entry pathway. Nat Microbiol. (2022) 7:1161–79. doi: 10.1038/s41564-022-01241-6

PubMed Abstract | Crossref Full Text | Google Scholar

174. Jacobsen H, Strengert M, Maaß H, Ynga Durand MA, Katzmarzyk M, Kessel B, et al. Diminished neutralization responses towards SARS-CoV-2 Omicron VoC after mRNA or vector-based COVID-19 vaccinations. Sci Rep. (2022) 12:19858. doi: 10.1038/s41598-022-22552-y

PubMed Abstract | Crossref Full Text | Google Scholar

175. Swart M, van der Lubbe J, Schmit-Tillemans S, van Huizen E, Verspuij J, Gil AI, et al. Booster vaccination with Ad26.COV2.S or an Omicron-adapted vaccine in pre-immune hamsters protects against Omicron BA.2. NPJ Vaccines. (2023) 8:40. doi: 10.1038/s41541-023-00633-x

PubMed Abstract | Crossref Full Text | Google Scholar

176. Souza MS, Farias JP, Andreata-Santos R, Silva MP, Brito RDDS, Duarte Barbosa da Silva M, et al. Neutralizing antibody response after immunization with a COVID-19 bivalent vaccine: Insights to the future. J Med Virol. (2024) 96:e29416. doi: 10.1002/jmv.29416

PubMed Abstract | Crossref Full Text | Google Scholar

177. Scheaffer SM, Lee D, Whitener B, Ying B, Wu K, Liang CY, et al. Bivalent SARS-CoV-2 mRNA vaccines increase breadth of neutralization and protect against the BA. 5 Omicron variant mice. Nat Med. (2023) 29:247–57. doi: 10.1038/s41591-022-02092-8

PubMed Abstract | Crossref Full Text | Google Scholar

178. Trombetta CM, Marchi S, Leonardi M, Coppola C, Benincasa L, Marotta MG, et al. Evaluation of immune response to SARS-CoV-2 Omicron sublineages six months after different vaccination regimens in Italy. Acta Trop. (2023) 248:107042. doi: 10.1016/j.actatropica.2023.107042

PubMed Abstract | Crossref Full Text | Google Scholar

179. Zuo F, Abolhassani H, Du L, Piralla A, Bertoglio F, de Campos-Mata L, et al. Heterologous immunization with inactivated vaccine followed by mRNA-booster elicits strong immunity against SARS-CoV-2 Omicron variant. Nat Commun. (2022) 13:2670. doi: 10.1038/s41467-022-30340-5

PubMed Abstract | Crossref Full Text | Google Scholar

180. Souza WM, Amorim MR, Sesti-Costa R, Coimbra LD, Brunetti NS, Toledo-Teixeira DA, et al. Neutralization of SARS-CoV-2 lineage P.1 by antibodies elicited through natural SARS-CoV-2 infection or vaccination with an inactivated SARS-CoV-2 vaccine: an immunological study. Lancet Microbe. (2021) 2:e527–35. doi: 10.1016/S2666-5247(21)00129-4

PubMed Abstract | Crossref Full Text | Google Scholar

181. Geers D, Shamier MC, Bogers S, den Hartog G, Gommers L, Nieuwkoop NN, et al. SARS-CoV-2 variants of concern partially escape humoral but not T-cell responses in COVID-19 convalescent donors and vaccinees. Sci Immunol. (2021) 6:eabj1750. doi: 10.1126/sciimmunol.abj1750

PubMed Abstract | Crossref Full Text | Google Scholar

182. Tarke A, Sidney J, Methot N, Yu ED, Zhang Y, Dan JM, et al. Impact of SARS-CoV-2 variants on the total CD4+ and CD8+ T cell reactivity in infected or vaccinated individuals. Cell Rep Med. (2021) 2:100355. doi: 10.1016/j.xcrm.2021.100355

PubMed Abstract | Crossref Full Text | Google Scholar

183. Tarke A, Coelho CH, Zhang Z, Dan JM, Yu ED, Methot N, et al. SARS-CoV-2 vaccination induces immunological T cell memory able to cross-recognize variants from Alpha to Omicron. Cell. (2022) 185:847–859.e11. doi: 10.1016/j.cell.2022.01.015

PubMed Abstract | Crossref Full Text | Google Scholar

184. Liu J, Chandrashekar A, Sellers D, Barrett J, Jacob-Dolan C, Lifton M, et al. Vaccines elicit highly conserved cellular immunity to SARS-CoV-2 Omicron. Nature. (2022) 603:493–6. doi: 10.1038/s41586-022-04465-y

PubMed Abstract | Crossref Full Text | Google Scholar

185. Samieefar N, Rashedi R, Akhlaghdoust M, Mashhadi M, Darzi P, and Rezaei N. Delta variant: the new challenge of COVID-19 pandemic, an overview of epidemiological, clinical, and immune characteristics. Acta Biomed. (2022) 93:e2022179. doi: 10.23750/abm.v93i1.12210

PubMed Abstract | Crossref Full Text | Google Scholar

186. Shekhar R, Garg I, Pal S, Kottewar S, and Sheikh AB. COVID-19 vaccine booster: to boost or not to boost. Infect Dis Rep. (2021) 13:924–9. doi: 10.3390/idr13040084

PubMed Abstract | Crossref Full Text | Google Scholar

187. Pfizer Inc. and BioNTech SE. Pfizer and BioNTech granted FDA Emergency Use Authorization of Omicron BA.4/BA.5-adapted bivalent COVID-19 vaccine booster for ages 12 years and older [press release] (2022). Available online at: https://www.pfizer.com/news/press-release/press-release-detail/pfizer-and-biontech-granted-fda-emergency-use-authorization (Accessed October 15, 2025).

Google Scholar

188. ModernaTX, Inc. Moderna COVID-19 Vaccine EUA Fact Sheet for Recipients and Caregivers (Original and Omicron BA.4/BA.5 Bivalent) [fact sheet] (2022). Available online at: https://www.fda.gov/media/144638/download (Accessed October 15, 2025).

Google Scholar

189. U.S. Food and Drug Administration. FDA Approves and Authorizes Updated mRNA COVID-19 Vaccines to Better Protect Against Currently Circulating Variants [press release] (2024). Available online at: https://www.fda.gov/news-events/press-announcements/fda-approves-and-authorizes-updated-mrna-covid-19-vaccines-better-protect-against-currently (Accessed October 15, 2025).

Google Scholar

190. Gelderloos AT, Verheul MK, Middelhof I, de Zeeuw-Brouwer ML, van Binnendijk RS, Buisman AM, et al. Repeated COVID-19 mRNA vaccination results in IgG4 class switching and decreased NK cell activation by S1-specific antibodies in older adults. Immun Ageing. (2024) 21:63. doi: 10.1186/s12979-024-00466-9

PubMed Abstract | Crossref Full Text | Google Scholar

191. Marchese AM, Fries L, Beyhaghi H, Vadivale M, Zhu M, Cloney-Clark S, et al. Mechanisms and implications of IgG4 responses to SARS-CoV-2 and other repeatedly administered vaccines. J Infect. (2024) 89:106317. doi: 10.1016/j.jinf.2024.106317

PubMed Abstract | Crossref Full Text | Google Scholar

192. Babicki M, Kapusta J, Pieniawska-Śmiech K, Kałuzińska-Kołat Ż, Kołat D, Mastalerz-Migas A, et al. Do COVID-19 vaccinations affect the most common post-COVID symptoms? Initial data from the STOP-COVID register-12-month follow-up. Viruses. (2023) 15:1370. doi: 10.3390/v15061370

PubMed Abstract | Crossref Full Text | Google Scholar

193. Ranucci M, Baryshnikova E, Anguissola M, Pugliese S, Ranucci L, Falco M, et al. The very long COVID: persistence of symptoms after 12–18 months from the onset of infection and hospitalization. J Clin Med. (2023) 12:1915. doi: 10.3390/jcm12051915

PubMed Abstract | Crossref Full Text | Google Scholar

194. Brunvoll SH, Nygaard AB, Fagerland MW, Holland P, Ellingjord-Dale M, Dahl JA, et al. Post-acute symptoms 3–15 months after COVID-19 among unvaccinated and vaccinated individuals with a breakthrough infection. Int J Infect Dis. (2023) 126:10–3. doi: 10.1016/j.ijid.2022.11.009

PubMed Abstract | Crossref Full Text | Google Scholar

195. Morello R, Mariani F, Mastrantoni L, De Rose C, Zampino G, Munblit D, et al. Risk factors for post-COVID-19 condition (Long Covid) in children: a prospective cohort study. EClinicalMedicine. (2023) 59:101961. doi: 10.1016/j.eclinm.2023.101961

PubMed Abstract | Crossref Full Text | Google Scholar

196. Antar AAR, Yu T, Demko ZO, Hu C, Tornheim JA, Blair PW, et al. Long COVID brain fog and muscle pain are associated with longer time to clearance of SARS-CoV-2 RNA from the upper respiratory tract during acute infection. Front Immunol. (2023) 14:1147549. doi: 10.3389/fimmu.2023.1147549

PubMed Abstract | Crossref Full Text | Google Scholar

197. Ozonoff A, Jayavelu ND, Liu S, Melamed E, Milliren CE, Qi J, et al. Features of acute COVID-19 associated with post-acute sequelae of SARS-CoV-2 phenotypes: results from the IMPACC study. Nat Commun. (2024) 15:216. doi: 10.1038/s41467-023-44090-5

PubMed Abstract | Crossref Full Text | Google Scholar

198. Lu S, Peluso MJ, Glidden DV, Davidson MC, Lugtu K, Pineda-Ramirez J, et al. Early biological markers of post-acute sequelae of SARS-CoV-2 infection. Nat Commun. (2024) 15:7466. doi: 10.1038/s41467-024-51893-7

PubMed Abstract | Crossref Full Text | Google Scholar

199. Herbert C, Antar AAR, Broach J, Wright C, Stamegna P, Luzuriaga K, et al. Relationship between acute SARS-CoV-2 viral clearance and long COVID-19 (Long COVID) symptoms: A cohort study. Clin Infect Dis. (2025) 80:82–90. doi: 10.1093/cid/ciae539

PubMed Abstract | Crossref Full Text | Google Scholar

200. Bergamaschi C, Terpos E, Rosati M, Angel M, Bear J, Stellas D, et al. Systemic IL-15, IFN-γ, and IP-10/CXCL10 signature associated with effective immune response to SARS-CoV-2 in BNT162b2 mRNA vaccine recipients. Cell Rep. (2021) 36:109504. doi: 10.1016/j.celrep.2021.109504

PubMed Abstract | Crossref Full Text | Google Scholar

201. Schultheiß C, Willscher E, Paschold L, Gottschick C, Klee B, Henkes SS, et al. The IL-1beta, IL-6, and TNF cytokine triad is associated with post-acute sequelae of COVID-19. Cell Rep Med. (2022) 3:100663. doi: 10.1016/j.xcrm.2022.100663

PubMed Abstract | Crossref Full Text | Google Scholar

202. Hamzeh-Cognasse H, Mansour A, Reizine F, Mismetti P, Gouin-Thibault I, and Cognasse F. Platelet-derived sCD40L: specific inflammatory marker for early-stage severe acute respiratory syndrome coronavirus 2 infection. Virol J. (2021) 18:211. doi: 10.1186/s12985-021-01680-3

PubMed Abstract | Crossref Full Text | Google Scholar

203. Nayyerabadi M, Fourcade L, Joshi SA, Chandrasekaran P, Chakravarti A, Massé C, et al. Vaccination after developing long COVID: Impact on clinical presentation, viral persistence, and immune responses. Int J Infect Dis. (2023) 136:136–45. doi: 10.1016/j.ijid.2025.107842

PubMed Abstract | Crossref Full Text | Google Scholar

204. Xie Y, Choi T, and Al-Aly Z. Postacute sequelae of SARS-CoV-2 infection in the pre-delta, delta, and omicron eras. N Engl J Med. (2024) 391:515–25. doi: 10.1056/NEJMoa2403211

PubMed Abstract | Crossref Full Text | Google Scholar

205. Proal AD, VanElzakker MB, Aleman S, Bach K, Boribong BP, Buggert M, et al. SARS-CoV-2 reservoir in post-acute sequelae of COVID-19 (PASC). Nat Immunol. (2023) 24:1616–27. doi: 10.1038/s41590-023-01646-3

PubMed Abstract | Crossref Full Text | Google Scholar

206. Ceulemans LJ, Khan M, Yoo SJ, Zapiec B, Van Gerven L, Van Slambrouck J, et al. Persistence of SARS-CoV-2 RNA in lung tissue after mild COVID-19. Lancet Respir Med. (2021) 9:e78–9. doi: 10.1016/S2213-2600(21)00240-X

PubMed Abstract | Crossref Full Text | Google Scholar

207. Cheung CCL, Goh D, Lim X, Tien TZ, Lim JC, Lee JN, et al. Residual SARS-CoV-2 viral antigens detected in GI and hepatic tissues from five recovered patients with COVID-19. Gut. (2022) 71:226–9. doi: 10.1136/gutjnl-2021-324280

PubMed Abstract | Crossref Full Text | Google Scholar

208. Goh D, Lim JC, Fernaíndez SB, Joseph CR, Edwards SG, Neo ZW, et al. Case report: persistence of residual antigen and RNA of the SARS-CoV-2 virus in tissues of two patients with long COVID. Front Immunol. (2022) 13:939989. doi: 10.3389/fimmu.2022.939989

PubMed Abstract | Crossref Full Text | Google Scholar

209. Patterson BK, Francisco EB, Yogendra R, Long E, Pise A, Rodrigues H, et al. Persistence of SARS CoV-2 S1 protein in CD16+ Monocytes in post-acute sequelae of COVID-19 (PASC) up to 15 months post-infection. Front Immunol. (2022) 12:746021. doi: 10.3389/fimmu.2021.746021

PubMed Abstract | Crossref Full Text | Google Scholar

210. Rong Z, Mai H, Ebert G, Kapoor S, Puelles VG, Czogalla J, et al. Persistence of spike protein at the skull-meninges-brain axis may contribute to the neurological sequelae of COVID-19. Cell Host Microbe. (2024) 32:2112–2130.e10. doi: 10.1016/j.chom.2024.11.007

PubMed Abstract | Crossref Full Text | Google Scholar

211. Kawasaki T and Kawai T. Toll-like receptor signaling pathways. Front Immunol. (2014) 5:461. doi: 10.3389/fimmu.2014.00461

PubMed Abstract | Crossref Full Text | Google Scholar

212. Bhattacharya M, Sharma AR, Mallick B, Sharma G, Lee SS, and Chakraborty C. Immunoinformatics approach to understand molecular interaction between multi-epitopic regions of SARS-CoV-2 spike-protein with TLR4/MD-2 complex. Infect Genet Evol. (2020) 85:104587. doi: 10.1016/j.meegid.2020.104587

PubMed Abstract | Crossref Full Text | Google Scholar

213. Choudhury A and Mukherjee S. In silico studies on the comparative characterization of the interactions of SARS-CoV-2 spike glycoprotein with ACE-2 receptor homologs and human TLRs. J Med Virol. (2020) 92:2105–13. doi: 10.1002/jmv.25987

PubMed Abstract | Crossref Full Text | Google Scholar

214. Craddock V, Mahajan A, Spikes L, Krishnamachary B, Ram AK, Kumar A, et al. Persistent circulation of soluble and extracellular vesicle-linked Spike protein in individuals with postacute sequelae of COVID-19. J Med Virol. (2023) 95:e28568. doi: 10.1002/jmv.28568

PubMed Abstract | Crossref Full Text | Google Scholar

215. Samsudin F, Raghuvamsi P, Petruk G, Puthia M, Petrlova J, MacAry P, et al. SARS-CoV-2 spike protein as a bacterial lipopolysaccharide delivery system in an overzealous inflammatory cascade. J Mol Cell Biol. (2023) 14:mjac058. doi: 10.1093/jmcb/mjac058

PubMed Abstract | Crossref Full Text | Google Scholar

216. Buonsenso D, Martino L, Morello R, Mariani F, Fearnley K, and Valentini P. Viral persistence in children infected with SARS-CoV-2: current evidence and future research strategies. Lancet Microbe. (2023) 4:e745–56. doi: 10.1016/S2666-5247(23)00115-5

PubMed Abstract | Crossref Full Text | Google Scholar

217. Diexer S, Klee B, Gottschick C, Xu C, Broda A, Purschke O, et al. Association between virus variants, vaccination, previous infections, and post-COVID-19 risk. Int J Infect Dis. (2023) 136:14–21. doi: 10.1016/j.ijid.2023.08.019

PubMed Abstract | Crossref Full Text | Google Scholar

218. Qin S, Zhang Y, Li Y, Huang L, Yang T, Si J, et al. Long COVID facts and findings: a large-scale online survey in 74,075 Chinese participants. Lancet Reg Health West Pac. (2024) 52:101218. doi: 10.1016/j.lanwpc.2024.101218

PubMed Abstract | Crossref Full Text | Google Scholar

219. Byambasuren O, Stehlik P, Clark J, Alcorn K, and Glasziou P. Effect of covid-19 vaccination on long covid: systematic review. BMJ Med. (2023) 2:e000385. doi: 10.1136/bmjmed-2022-000385

PubMed Abstract | Crossref Full Text | Google Scholar

220. Vojdani A and Kharrazian D. Potential antigenic cross-reactivity between SARS-CoV-2 and human tissue with a possible link to an increase in autoimmune diseases. Clin Immunol. (2020) 217:108480. doi: 10.1016/j.clim.2020.108480

PubMed Abstract | Crossref Full Text | Google Scholar

221. Wang EY, Mao T, Klein J, Dai Y, Huck JD, Jaycox JR, et al. Diverse functional autoantibodies in patients with COVID-19. Nature. (2021) 595:283–8. doi: 10.1038/s41586-021-03631-y

PubMed Abstract | Crossref Full Text | Google Scholar

222. Eberhardt N, Noval MG, Kaur R, Amadori L, Gildea M, Sajja S, et al. SARS-CoV-2 infection triggers pro-atherogenic inflammatory responses in human coronary vessels. Nat Cardiovasc Res. (2023) 2:899–916. doi: 10.1038/s44161-023-00336-5

PubMed Abstract | Crossref Full Text | Google Scholar

223. Jaycox JR, Lucas C, Yildirim I, Dai Y, Wang EY, Monteiro V, et al. SARS-CoV-2 mRNA vaccines decouple anti-viral immunity from humoral autoimmunity. Nat Commun. (2023) 14:1299. doi: 10.1038/s41467-023-36686-8

PubMed Abstract | Crossref Full Text | Google Scholar

224. Degli Antoni M, Maifredi G, Storti S, Tiecco G, Di Gregorio M, Rossi B, et al. Long-term symptoms after SARS-CoV-2 infection in a cohort of people living with HIV. Infection. (2024) 52:2339–50. doi: 10.1007/s15010-024-02288-9

PubMed Abstract | Crossref Full Text | Google Scholar

225. Villa A, Milito C, Deiana CM, Finco Gambier R, Punziano A, Buso H, et al. High prevalence of long COVID in common variable immunodeficiency: an italian multicentric study. J Clin Immunol. (2024) 44:59. doi: 10.1007/s10875-024-01656-2

PubMed Abstract | Crossref Full Text | Google Scholar

226. Català M, Mercadé-Besora N, Kolde R, Trinh NTH, Roel E, Burn E, et al. The effectiveness of COVID-19 vaccines to prevent long COVID symptoms: staggered cohort study of data from the UK, Spain, and Estonia. Lancet Respir Med. (2024) 12:225–36. doi: 10.1016/S2213-2600(23)00414-9

PubMed Abstract | Crossref Full Text | Google Scholar

227. Ioannou GN, Baraff A, Fox A, Shahoumian T, Hickok A, O’Hare AM, et al. Rates and factors associated with documentation of diagnostic codes for long COVID in the national veterans affairs health care system. JAMA Netw Open. (2022) 5:e2224359. doi: 10.1001/jamanetworkopen.2022.24359

PubMed Abstract | Crossref Full Text | Google Scholar

228. Taquet M, Dercon Q, and Harrison PJ. Six-month sequelae of post-vaccination SARS-CoV-2 infection: A retrospective cohort study of 10,024 breakthrough infections. Brain Behav Immun. (2022) 103:154–62. doi: 10.1016/j.bbi.2022.04.013

PubMed Abstract | Crossref Full Text | Google Scholar

229. Strain WD, Sherwood O, Banerjee A, van der Togt V, Hishmeh L, and Rossman J. The impact of COVID vaccination on symptoms of long COVID: an international survey of people with lived experience of long COVID. Vaccines (Basel). (2022) 10:652. doi: 10.3390/vaccines10050652

PubMed Abstract | Crossref Full Text | Google Scholar

230. Bilotta C, Perrone G, Adelfio V, Spatola GF, Uzzo ML, Argo A, et al. COVID-19 vaccine-related thrombosis: A systematic review and exploratory analysis. Front Immunol. (2021) 12:729251. doi: 10.3389/fimmu.2021.729251

PubMed Abstract | Crossref Full Text | Google Scholar

231. Tobaiqy M, Elkout H, and MacLure K. Analysis of thrombotic adverse reactions of COVID-19 astraZeneca vaccine reported to eudraVigilance database. Vaccines (Basel). (2021) 9:393. doi: 10.3390/vaccines9040393

PubMed Abstract | Crossref Full Text | Google Scholar

232. Greinacher A, Thiele T, Warkentin TE, Weisser K, Kyrle PA, and Eichinger S. Thrombotic Thrombocytopenia after ChAdOx1 nCov-19 Vaccination. N Engl J Med. (2021) 384:2092–101. doi: 10.1056/NEJMoa2104840

PubMed Abstract | Crossref Full Text | Google Scholar

233. Lesgards JF, Cerdan D, and Perronne C. Do long COVID and COVID vaccine side effects share pathophysiological picture and biochemical pathways? Int J Mol Sci. (2025) 26:7879. doi: 10.3390/ijms26167879

PubMed Abstract | Crossref Full Text | Google Scholar

234. Lundberg-Morris L, Leach S, Xu Y, Martikainen J, Santosa A, Gisslén M, et al. Covid-19 vaccine effectiveness against post-covid-19 condition among 589 722 individuals in Sweden: population based cohort study. BMJ. (2023) 383:e076990. doi: 10.1136/bmj-2023-076990

PubMed Abstract | Crossref Full Text | Google Scholar

235. Marra AR, Kobayashi T, Callado GY, Pardo I, Gutfreund MC, Hsieh MK, et al. The effectiveness of COVID-19 vaccine in the prevention of post-COVID conditions: a systematic literature review and meta-analysis of the latest research. Antimicrob Steward Healthc Epidemiol. (2023) 3:e168. doi: 10.1017/ash.2023.447

PubMed Abstract | Crossref Full Text | Google Scholar

236. Tsuchida T, Hirose M, Inoue Y, Kunishima H, Otsubo T, and Matsuda T. Relationship between changes in symptoms and antibody titers after a single vaccination in patients with Long COVID. J Med Virol. (2022) 94:3416–20. doi: 10.1002/jmv.27689

PubMed Abstract | Crossref Full Text | Google Scholar

237. Freiberg C, Dotan A, Arnheim D, and Aviel YB. Investigating the association between SARS-CoV-2 infection, COVID-19 vaccination, and autoimmune diseases in a pediatric population: a comprehensive analysis. Pediatr Rheumatol Online J. (2025) 23:52. doi: 10.1186/s12969-025-01093-4

PubMed Abstract | Crossref Full Text | Google Scholar

238. Körner RW, Bansemir OY, Franke R, Sturm J, and Dafsari HS. Atopy and elevation of igE, igG3, and igG4 may be risk factors for post COVID-19 condition in children and adolescents. Children (Basel). (2023) 10:1598. doi: 10.3390/children10101598

PubMed Abstract | Crossref Full Text | Google Scholar

239. Rispens T and Huijbers MG. The unique properties of IgG4 and its roles in health and disease. Nat Rev Immunol. (2023) 23:763–78. doi: 10.1038/s41577-023-00871-z

PubMed Abstract | Crossref Full Text | Google Scholar

240. Flynn NM, Forthal DN, Harro CD, Judson FN, Mayer KH, Para MF, et al. Placebo-controlled phase 3 trial of a recombinant glycoprotein 120 vaccine to prevent HIV-1 infection. J Infect Dis. (2005) 191:654–65. doi: 10.1086/428404

PubMed Abstract | Crossref Full Text | Google Scholar

241. Chung AW, Ghebremichael M, Robinson H, Brown E, Choi I, Lane S, et al. Polyfunctional Fc-effector profiles mediated by IgG subclass selection distinguish RV144 and VAX003 vaccines. Sci Transl Med. (2014) 6:228ra38. doi: 10.1126/scitranslmed.3007736

PubMed Abstract | Crossref Full Text | Google Scholar

242. Buhre JS, Pongracz T, Künsting I, Lixenfeld AS, Wang W, Nouta J, et al. mRNA vaccines against SARS-CoV-2 induce comparably low long-term IgG Fc galactosylation and sialylation levels but increasing long-term IgG4 responses compared to an adenovirus-based vaccine. Front Immunol. (2023) 13:1020844. doi: 10.3389/fimmu.2022.1020844

PubMed Abstract | Crossref Full Text | Google Scholar

243. Irrgang P, Gerling J, Kocher K, Lapuente D, Steininger P, Habenicht K, et al. Class switch toward noninflammatory, spike-specific IgG4 antibodies after repeated SARS-CoV-2 mRNA vaccination. Sci Immunol. (2023) 8:eade2798. doi: 10.1126/sciimmunol.ade2798

PubMed Abstract | Crossref Full Text | Google Scholar

244. Zheng C, Yu FY, Chan PS, Sun F, Chen XK, Huang WY, et al. Receiving three doses of inactivated or mRNA COVID-19 vaccines was associated with lower odds of long COVID symptoms among people with a history of SARS-CoV-2 infection in Hong Kong, China: a cross-sectional survey study. Epidemiol Infect. (2024) 152:e166. doi: 10.1017/S0950268824001687

PubMed Abstract | Crossref Full Text | Google Scholar

245. Wee LE, Lim JT, Tay AT, Chiew CJ, Ong B, Lye DCB, et al. Autoimmune sequelae after delta or omicron variant SARS-CoV-2 infection in a highly vaccinated cohort. JAMA Netw Open. (2024) 7:e2430983. doi: 10.1001/jamanetworkopen.2024.30983

PubMed Abstract | Crossref Full Text | Google Scholar

246. UK Health Security Agency. UKHSA Review Shows Vaccinated Less Likely to Have Long COVID than Unvaccinated (2022). Available online at: https://www.gov.uk/government/news/ukhsa-review-shows-vaccinated-less-likely-to-have-long-covid-than-unvaccinated (Accessed June 13, 2025).

Google Scholar

247. MacCallum-Bridges C, Hirschtick JL, Patel A, Orellana RC, Elliott MR, and Fleischer NL. The impact of COVID-19 vaccination prior to SARS-CoV-2 infection on prevalence of long COVID among a population-based probability sample of Michiganders, 2020-2022. Ann Epidemiol. (2024) 92:17–24. doi: 10.1016/j.annepidem.2024.02.007

PubMed Abstract | Crossref Full Text | Google Scholar

248. Udell JA, Zawi R, Bhatt DL, Keshtkar-Jahromi M, Gaughran F, Phrommintikul A, et al. Association between influenza vaccination and cardiovascular outcomes in high-risk patients: a meta-analysis. JAMA. (2013) 310:1711–20. doi: 10.1001/jama.2013.279206

PubMed Abstract | Crossref Full Text | Google Scholar

249. Oxman MN, Levin MJ, Johnson GR, Schmader KE, Straus SE, Gelb LD, et al. A vaccine to prevent herpes zoster and postherpetic neuralgia in older adults. N Engl J Med. (2005) 352:2271–84. doi: 10.1056/NEJMoa051016

PubMed Abstract | Crossref Full Text | Google Scholar

250. Garland SM, Hernandez-Avila M, Wheeler CM, Perez G, Harper DM, Leodolter S, et al. Quadrivalent vaccine against human papillomavirus to prevent anogenital diseases. N Engl J Med. (2007) 356:1928–43. doi: 10.1056/NEJMoa061760

PubMed Abstract | Crossref Full Text | Google Scholar

251. Drolet M, Bénard É, Pérez N, Brisson M, and HPV Vaccination Impact Study Group. Population-level impact and herd effects following the introduction of human papillomavirus vaccination programs: updated systematic review and meta-analysis. Lancet. (2019) 394:497–509. doi: 10.1016/S0140-6736(19)30298-3

PubMed Abstract | Crossref Full Text | Google Scholar

252. Cheng H, Peng Z, Si S, Alifu X, Zhou H, Chi P, et al. Immunogenicity and safety of homologous and heterologous prime-boost immunization with COVID-19 vaccine: systematic review and meta-analysis. Vaccines (Basel). (2022) 10:798. doi: 10.3390/vaccines10050798

PubMed Abstract | Crossref Full Text | Google Scholar

253. Talwar S, Harker JA, Openshaw PJM, and Thwaites RS. Autoimmunity in long COVID. J Allergy Clin Immunol. (2025) 155:1082–94. doi: 10.1016/j.jaci.2025.02.005

PubMed Abstract | Crossref Full Text | Google Scholar

254. Offit PA. Bivalent covid-19 vaccines - A cautionary tale. N Engl J Med. (2023) 388:481–3. doi: 10.1056/NEJMp2215780

PubMed Abstract | Crossref Full Text | Google Scholar