Increased morbidity and mortality from infections with influenza virus are often linked to bacterial superinfection. The complications associated with viral-bacterial coinfections are a result of altered host responses due to the virus infection ( Figure 1 ). The innate immune response has a key role in protecting us against viral infections. Unfortunately, aspects of this immune reaction are also responsible for increased morbidity and mortality. We currently experience this from SARS-CoV-2 where interactions between the virus and immune cells lead to dysregulated immune responses, ultimately accelerating disease progression and severity, especially in older individuals (Guan et al., 2020; Huang et al., 2020; Qin et al., 2020; Zhang et al., 2020)

The lung epithelium covered with mucus provides the first line of defense against microbes entering the respiratory tract by brushing pathogens upwards through the mucociliary escalator. Once a virus successfully breaks the secretory mucus barrier, it invades epithelial cells to replicate. Influenza virus replication in the respiratory epithelium alters mucus production and reduces ciliary beating, which results in lower mucociliary clearance of pneumococci in vivo  (Pittet et al., 2010). In bronchial epithelial cells, the influenza virus reduces the secretion of Chitinase-3-like 1, a protein involved in anti-pneumococcal host response, and thereby promotes secondary pneumococcal infection (Dela Cruz et al., 2012; Karwelat et al., 2020). The influenza-induced epithelial damage exposes more attachment sites for bacteria, thus promoting invasion and severe disease (Plotkowski et al., 1986). Also, direct binding of influenza to pneumococci promotes adhesion to respiratory epithelial cells (Rowe et al., 2020). The influenza-induced tissue damage is greatest at around day 7 after infection which is the time where both humans and mice are most susceptible to secondary bacterial infection (Nugent and Pesanti, 1983). The 2009 H1N1 pandemic virus destroyed basal airway epithelial cells which affected lung repair mechanisms, thus explaining the high fatality rate of coinfections with this pandemic virus compared to the seasonal H1N1 virus (Kash et al., 2011). In addition to the direct effect on the airway epithelium, recruited inflammatory monocytes induce TRAIL-mediated lung damage, which facilitates pneumococcal invasion (Ellis et al., 2015). The activity of viral neuraminidases further promotes invasion by stripping sialic acids off the lung epithelium, which exposes adhesion receptors for pneumococci to bind (McCullers and Bartmess, 2003). Indeed, influenza A virus (IAV) infection increases the amount of the adhesion receptor platelet-activating factor (PAFR) (Van Der Sluijs et al., 2006b). However, neither mice deficient in PAFR nor PAFR antagonist treatment in vivo improved the outcome of secondary bacterial infections (McCullers and Rehg, 2002; Van der Sluijs et al., 2006b). Viral neuraminidase inhibitors only partially protect from bacterial complications following influenza virus infection (McCullers, 2004), and also, the use of neuraminidase treatment to inactive viruses does not affect the outcome of secondary bacterial infection in mice (Chockalingam et al., 2012). Thus, additional factors must play a role for the increased susceptibility to secondary pneumococcal infection, besides the influenza-mediated impact on the lung epithelium.

Phagocytic cells, including macrophages and neutrophils eliminate invading pathogens through opsonophagocytosis. We know that influenza virus infection suppresses the function of such phagocytic cells (Abramson et al., 1982; Debets-Ossenkopp et al., 1982; Astry and Jakab, 1984). Recent studies investigated how influenza virus infections affect the antibacterial activity of phagocytic cells in more detail. Sun & Metzger found that influenza-induced IFN-gamma impairs bacterial clearance by alveolar macrophages through downregulation of the class A scavenger receptor MARCO (Sun and Metzger, 2008). The scavenger receptor MARCO plays an important role in host defense against pneumococcal pneumonia (Arredouani et al., 2004). The antioxidant sulforaphane enhances MARCO expression and thereby improves pneumococcal clearance and host survival during secondary pneumococcal pneumonia (Wu et al., 2017). Similarly, IL-6 protects mice from secondary pneumococcal infection. Administration of recombinant IL-6 rescues macrophages from influenza-induced apoptosis and increases MARCO expression which promotes phagocytosis of bacteria (Gou et al., 2019). The functional impairment of alveolar macrophages allows noninvasive pneumococcal strains to cause deadly disease (Verma et al., 2020). In addition to functional departures, defects in antibacterial activity are also related to lower numbers of alveolar macrophages. The number of alveolar macrophages decreases to 85-90% compared with baseline levels, within 7 days after virus infection (Ghoneim et al., 2013; Smith et al., 2013). Also, dysfunctional neutrophils contribute to defects in antibacterial immunity during coinfection (Levine et al., 2001; McNamee and Harmsen, 2006). In coinfected lungs bacterial numbers remain high, despite the pro-inflammatory state with increased cytokines and more neutrophils (Levine et al., 2001). The reduced phagocytic activity of neutrophils is associated with higher expression of the inhibitory cytokine IL-10 (Van der Sluijs et al., 2004; Van der Sluijs et al., 2006a). Type I IFNs, which are essential for antiviral immunity during influenza infection (Muller et al., 1994), disrupt the migration of neutrophils, thus sensitizing the host for secondary bacterial infection (Shahangian et al., 2009; Nakamura et al., 2011). Considering the detrimental effects dysregulated cytokine production has on phagocytic cell function during influenza-pneumococcal coinfection, it is not surprising that also other key players of the cellular immune defense in the lungs are affected.

Dendritic cells bridge the innate to the adaptive immune response by producing cytokines and presenting antigens. Influenza-pneumococcal coinfection in dendritic cells synergistically upregulates pro-inflammatory cytokines, whereas anti-inflammatory cytokines, like IL-10, are downregulated by influenza, which might contribute to the immunopathology during coinfection (Wu et al., 2011). A study from our group showed that influenza-induced type I IFNs trigger the secretion of the pro-inflammatory cytokines IL-6 and IL-12 in dendritic cells (Kuri et al., 2013). However, co-infecting pathogens do not only affect the production and release of cytokine, but also modulate the expression and activation of pattern recognition receptors. W linked more IL-12p70 production during influenza infection to higher levels of Toll-like receptor (TLR) 3, which recognizes pneumococcal RNA, thus activating TRIF-dependent pro-inflammatory signaling in dendritic cells (Spelmink et al., 2016). Influenza and pneumococci also synergistically activate other Toll-like receptors (TLRs) and TLR-dependent signaling pathways, thus generating inflammation and promoting disease progression during coinfection (Karlstrom et al., 2011; Stegemann-Koniszewski et al., 2013; Rodriguez et al., 2019).

The preceding production of type I IFNs by the influenza virus also affects antibacterial T cell responses. An in vivo study in mice revealed that influenza-induced type I IFNs repress γδ T cell function and their production of IL-17 which is responsible for recruitment and activation of neutrophils. This is abrogated in mice lacking the IFN receptor and the adoptive transfer of γδ T cells from IFN receptor KO mice improves the pulmonary clearance of pneumococci in wild type mice (Li et al., 2012). This inhibitory effect of type I IFNs on IL-17 production by γδ T cells promotes secondary pneumococcal pneumonia by inhibiting neutrophil recruitment and thus bacterial clearance is mediated through type I IFN-dependent production of pulmonary IL-27 (Cao et al., 2014). T cell-derived IFN-gamma inhibits pneumococcal clearance by alveolar macrophages in influenza infected lungs (Sun and Metzger, 2008). Besides activation of antibacterial immunity, T cells also play a role in maintenance of tissue homeostasis and tissue repair and the tissue protective cytokine IL-22 limits secondary pneumococcal infection (Ivanov et al., 2013). CD8+ effector T cells produce the anti-inflammatory cytokine IL-10, thereby contributing to resolve lung inflammation during acute influenza infection (Sun et al., 2009). However, this regenerating response can lead to enhanced susceptibility to superinfecting bacterial pathogens. Indeed, the regeneration process creates a favorable environment for opportunistic pathogens like pneumococci, eventually resulting in pneumococcal superinfection.

The tight regulation of the pulmonary immune system that constantly balances pro- and anti-inflammatory signals to maintain immune homeostasis, can be disturbed by infections and especially polymicrobial infections. While synergistic immune activation by influenza and pneumococci generally leads to hyper-inflammation and tissue damage as described above, subsequent infection with these two pathogens can also result in desensitization. Alveolar macrophages isolated after a resolved influenza infection respond poorly to TLR stimuli, which prevents the initiation of antibacterial responses and allows outgrowth of bacteria such as pneumococci in vivo (Didierlaurent et al., 2008 ). The increased susceptibility to a pneumococcal infection after a primary influenza infection can last up to six weeks. Similarly, peripheral blood mononuclear cells isolated from influenza-infected patients show selective defects in the production of TNFα and IFNγ after stimulation with heat-killed pneumococci (Giamarellos-Bourboulis et al., 2009). Although only partly understood, TLR desensitization and inability to recruit effector cells might be caused by higher numbers of alternatively activated macrophages that support tissue repair and immune homeostasis, but that also suppress immune responses (Chen et al., 2012). The anti-inflammatory state during tissue repair and restoration of lung immune homeostasis involves multiple immune-suppressive mechanisms (Snelgrove et al., 2008; Hussell and Cavanagh, 2009). One example is the increased expression of the CD200 receptor for the negative regulatory ligand CD200 on myeloid cells during viral infections which raises the activation threshold for these cells to superinfecting bacteria, allowing pneumococcal outgrowth (Goulding et al., 2011). The imbalanced pulmonary immune homeostasis greatly contributes to the pathology during influenza-pneumococcal coinfection.

In view of the two major effects influenza infections have on the pulmonary immune response, hyper-inflammation and desensitization, it is important to keep a balance between immune and inflammatory mechanisms to minimize the damage of the lung tissue, while also ensuring adequate defense to infections by other pathogens. However, in addition to the effects on clearance and immune homeostasis, influenza infection also changes the environment in the lower respiratory tract (LRT). Pathogen adaptation to these changed conditions determines if the bacteria can survive, grow and successfully establish disease.

To survive during influenza-infected conditions in the respiratory tract, bacteria must adapt to the environment by increased expression and/or function of virulence determinants ( Figure 2 and Table 1 ). The role of bacterial factors and their implications in driving secondary bacterial pneumonia is only emerging recently. Some strains of pneumococci are more successful in causing disease after pre-infection with influenza than others. We know from in vivo studies in mice and ferrets, that the potential of pneumococci to cause severe disease during influenza coinfection, and to spread within a population, depends to a major part on the capsular serotype (McCullers et al., 2010). The pulmonary immune response during coinfections is pneumococcal strain-specific, where more virulent pneumococcal strains are associated with more severe secondary pneumonia (Sharma-Chawla et al., 2016). However, noninvasive strains can also become more invasive and cause lethal disease in influenza-infected mice (Verma et al., 2020). This suggests that additional, serotype-independent factors, contribute to the potential of the bacteria to cause disease.

We are only beginning to understand the role of specific pneumococcal factors in secondary bacterial infection. Transcriptional changes of pneumococci dispersed from influenza-induced biofilms suggest that many factors and adaptive changes help pneumococci to survive and thrive in influenza-infected conditions (Pettigrew et al., 2014). The upregulated genes indicate that bacteria adapt to changes of nutrients and stress. High presences of the Neuraminidase A (NanA), NanB and PTS transporters for rapid uptake of carbohydrates, such as mannose/fructose, glucose, and galactitol, demonstrate a clear link to carbohydrate metabolism. Virulence factors that are increased in pneumococci recovered from influenza-dispersed biofilms include nanB, pcpA, pspA, prtA, and the IgA proteases zmpB and zmpD (Pettigrew et al., 2014). Pneumococci depend on carbohydrates as a carbon source (Buckwalter and King, 2012). Sialic acids are one such carbon source utilized by pneumococci (Marion et al., 2011). Intrinsic neuraminidase activity releases sialic acids which promote pneumococcal growth (Burnaugh et al., 2008) and serve as a signal that increases virulence (Trappetti et al., 2009). During coinfections, pneumococci feed on influenza-provided sialic acids which promotes colonization and development of pneumonia through aspiration (Siegel et al., 2014). However, the activity of viral neuraminidases is insufficient to fully compensate for the absence of NanA in pneumococci, suggesting an important role for NanA properties other than its enzymatic activity in pneumococcal pathogenesis (Wren et al., 2017). Interestingly, another study observed that NanA was dispensable for pneumococcal outgrowth during coinfection (King et al., 2009), which can be explained by the niche-specific expression patterns of NanA, with more NanA in the nasopharynx than in the lungs (Lemessurier et al., 2006). The overall data indicate that the specific conditions in the local environment determine which genes/proteins are induced to achieve an advantage for pneumococci in just that specific conditions at that time.

The LRT provides, especially during influenza infection, additional nutrients such as glucose, which leaks into the lungs from the blood (Sender et al., 2020). Glucose is the preferred carbon source for pneumococci and glucose-mediated catabolite repression further explains why sialic acid-dependent growth is more important in the nasopharynx. This study also shows that not only glucose, but also antioxidants derived from influenza-induced inflammation and capillary leakage allow pneumococcal outgrowth in the LRT (Sender et al., 2020). We describe influenza-induced redox imbalances in the LRT to which pneumococci adapt by inducing the pneumococcal surface protease/chaperone high temperature requirement A (HtrA), that helps the bacteria to grow under oxidative stress condition in vitro and in vivo, and protects them from host-mediated opsonophagocytosis by maintaining capsular production (Sender et al., 2020). Hemoglobin, the iron-containing metalloprotein in erythrocytes also supports pneumococcal growth in vitro and enhances the ability of pneumococci to feed on host glycoproteins, providing an advantage during colonization and infection (Akhter et al., 2020), especially under influenza-infected conditions where host hemoproteins may be available in the lungs. These studies highlight the ability of pneumococci to adapt to nutritional changes and stressors during influenza infection and imply that complex bacterial adaptation to multiple site- and time-specific changes plays a key role for the development of severe pneumococcal infection.

In the LRT of influenza-infected mice, we found increased cytokines, more immune cells, more antimicrobial peptides, and high levels of plasma proteins (Sender et al., 2020), suggesting that pneumococcal clearance would be promoted in this location. However, the high numbers of proteins present in the lower airways in the highly oxidizing environment during influenza infection likely also induces membrane stress for pneumococci, which the protease HtrA can help to reduce by digesting denatured proteins (Cassone et al., 2012). Another study showed that membrane stress induced by the antimicrobial peptide LL-37 leads to cell surface accumulation of HtrA (Mucke et al., 2020). The major environmental changes pneumococci need to adapt to in influenza-infected conditions include nutritional changes and oxidative stress, which affect surface protein expression.

Influenza-induced oxidative stress also promotes necroptosis caused by the pneumococcal cytotoxin, pneumolysin (ply) (Gonzalez-Juarbe et al., 2020). Necroptosis is a form of regulated inflammatory cell death which can be induced by both influenza infection (Nogusa et al., 2016) and the pore-forming toxin, ply, of pneumococci (Gonzalez-Juarbe et al., 2015), resulting in release of molecules that enhance pro-inflammatory processes and viral clearance in the lungs, but can also disrupt immune homeostasis. The study of Gonzalez-Juarbe et al., 2020 investigated the role of necroptosis during influenza-pneumococcal coinfection and in a series of experiments they show that influenza-induced necroptosis can be inhibited by antioxidant treatment, resulting in reduced disease severity and less tissue damage during secondary pneumococcal infection (Gonzalez-Juarbe et al., 2020). A potential advantageous effect of antioxidant treatment for pneumococci themselves and pneumococcal growth, as observed in our study (Sender et al., 2020), was not investigated in this study. However, antioxidant treatment was performed at 12 and 24 hrs after bacterial infection, whereas our study focused on early bacterial growth between 4-6 hrs after pneumococcal infection. The question remains if antioxidant treatment during coinfection is beneficial or detrimental and it might depend on timing, delivery route and dose. The role of ply in coinfection is controversial. Whereas the previous study suggests that ply contributes to mortality during coinfection, another study did not find any difference in a coinfection of wt and ply-lacking pneumococci (Gonzalez-Juarbe et al., 2020; Liu et al., 2020). However, these discrepancies can be due to variations in the coinfection model (such as C57BL/6 vs BALB/c mice and day 5 vs day 7 after virus infection) and the pneumococcal strains used (TIGR4 vs D39). The latter study also identified purA, the capsule operon, pacL and bacA, as essential genes for pneumococcal growth during influenza infection when compared to in vitro growth in C+Y medium (Liu et al., 2020). The authors confirmed the importance of the capsule gene locus in an in vivo coinfection model. This supports the data from our study where pneumococci lacking HtrA were phagocytosed more due to lower capsule production, indicating that the capsule is indeed an important virulence factor during coinfection (Sender et al., 2020). This underlines the concept that rapid bacterial clearance is a major factor influencing the severity of coinfections, which can be disturbed by the influenza-mediated dysfunction of major phagocytic cells and by bacterial adaptation to inflammatory environments.

Another virulence factor that interferes with host-mediated bacterial killing and also contributes to bacterial outgrowth during secondary pneumococcal infection in mice, is the pneumococcal surface protein A (PspA). Immunization with PspA reduces the bacterial load in the lungs early during coinfection (King et al., 2009). This demonstrates that our constantly increasing knowledge regarding the role of specific pneumococcal proteins and a better understanding of how they contribute to severe secondary pneumonia, will help us to develop alternative treatment options.

It is evident that pneumococci need to adapt to nutritional and environmental changes in the influenza-infected respiratory tract to cause disease. Transcriptomic analyses, combined with in vivo experiments using pneumococci with specific gene deletion, convincingly demonstrate the importance of certain genes/proteins for pneumococci during coinfection ( Figure 2 and Table 1 ). However, how exactly influenza-modified environments enable different bacterial factors to promote disease is a recently emerging field.

Pneumococci sense and respond to environmental changes with the help of two component systems (TCS), which consist of a membrane-bound histidine kinase (HK) that is autophosphorylated when sensing a signal, and transfers phosphate to a cytoplasmatic response regulator (RR), then acting as a transcriptional regulator (Stock et al., 1989). Pneumococci possess 13 TCSs and a single RR of which several are associated with virulence regulation (Throup et al., 2000). TCS1, also known as SirRH, senses influenza-induced acidic and oxidative stress, and controls pneumococcal adaptation via induction of clpL and psaB, which are required for intracellular survival of pneumococci (Reinoso-Vizcaino et al., 2020). In our study, TCS05, also known as CiaRH, induces htrA under influenza-infected conditions which helps the bacteria to cope with oxidative stress on their cell surface and protects them from host-mediated killing (Sender et al., 2020). CiaR phosphorylation, and hence htrA induction, can also be accomplished by internal acetyl phosphate generated by SpxB oxidation of pyruvate (Pericone et al., 2003; Hentrich et al., 2016). Free sialic acids, which we found to be increased in influenza-infected conditions, are taken up by pneumococci and converted by the SpxB pyruvate oxidase to acetyl-phosphate and hydrogen peroxide, which allows transcriptional activation of the htrA promoter via phosphorylated CiaR (Hentrich et al., 2016).

In mice and most other mammals, the dominating sialic acid is N-glycolylneuraminic acid (Neu5Gc) whereas in humans, due to a mutation in the CMAH gene, N-acetylneuraminic acid (Neu5Ac) decorates the glycan chains (Chou et al., 1998; Muchmore et al., 1998). The pneumococcus has higher transcription of htrA and nanA and increased sialidase activity in response to human-like Neu5Ac as compared with Neu5Gc (Parker et al., 2012; Hentrich et al., 2016; McCombs and Kohler, 2016), suggesting a specific pneumococcal adaptation to the virally inflamed human LRT where the synergistic activity of viral and bacterial neuraminidases contributes to the pathology of viral-bacterial coinfection.

Neuraminidase (NA) and hemagglutinin (HA) are the two major glycoproteins present on the surface of IAV, and they interact with the host sialic acids to invade cells and replicate (Gottschalk, 1958). The different forms of these surface glycoproteins determine the influenza virus subtype. To date, 16 HA (H1-16) and 9 NA (N1-9) subtypes have been identified in birds (McAuley et al., 2019). The subtype H1N1 and H3N2 are endemic in humans, circulating constantly within the population and cause seasonal outbreaks. Subtypes H5N1, H7N9 and H9N2 occasionally occur via zoonotic transmission from birds and swine, but additional mutations are required to allow for those viruses to transmit between humans (Cox and Subbarao, 2000; Harris et al., 2017).

The host tropism of the influenza virus is determined by the sialic acid species and its linkage to the underlying glycan. Most genomes of members of the deuterostomes contain a gene encoding for CMP-Neu5Ac hydroxylase (CMAH), the enzyme responsible for converting Neu5Ac to Neu5Gc (Peri et al., 2018). Deletions in CMAH have been described in humans (Chou et al., 1998), platypus (Schauer et al., 2009), ferrets (Ng et al., 2014), and New world monkeys (Springer et al., 2014), preventing the endogenous production of Neu5Gc, instead allowing decoration of glycans with Neu5Ac. All neuraminidases isolated from influenza viruses since year 1967 cleave both, α2,3- and α2,6-sialic acids (Baum and Paulson, 1990; Kobasa et al., 1999; Franca de Barros et al., 2003), with the neuraminidases of H1N1 and H3N2 cleaving α2,3-sialic acid more efficiently (Ng et al., 2014). While epithelial cells in the respiratory tract and intestine of birds, and tracheal cells of horses, mainly carry glycoconjugates having α2,3-linked sialic acids, the human trachea mainly contains cells carrying glycans with α2,6-linked sialic acids. Tracheal cells in the pigs express α2,6-linked and α2,3-linked sialic acids (Baum and Paulson, 1990; Ito et al., 1998). Accordingly, HA of avian and equine influenza viruses preferentially bind to α2,3-linked sialic acids, while HA of human influenza viruses has a higher affinity towards α2,6-linked sialic acids and swine influenza viruses bind both, α2,6-linked and α2,3-linked sialic acids (Krizanova and Rathova, 1969; Rogers and Paulson, 1983; Couceiro et al., 1993; Suzuki, 2005). Despite having different affinities towards the Sia-linkage to galactose, IAV is also influenced by the Sia species, although the specificity varies greatly among isolates.

Most IAV neuraminidases scavenge Neu5Ac and Neu5Gc from glycoconjugates, but have a lower efficiency for Neu5Gc (Xu et al., 1995; Broszeit et al., 2019; Barnard et al., 2020). Exceptions are NAs of H1N1 or viruses isolated between 1967 and 1969, which prefer Neu5Gc- over Neu5Ac-containing substrates (Kobasa et al., 1999; Ng et al., 2014). The interplay and balance in the specificities of the IAV hemagglutinin and neuraminidase is needed for successful viral infection (Guo et al., 2018; Broszeit et al., 2019). However, not only the sialic acid species and linkage determine IAV binding, but also modifications of other underlying carbohydrates of the glycan strand, like fucosylation, sulfation or phosphorylation of non-sialylated glycans affect IAV binding (Stevens et al., 2006; Byrd-Leotis et al., 2019). O-acetyl modification can inhibit HA binding and neuraminidase activity (Zimmer et al., 1994; Schauer, 2004; Barnard et al., 2020), but it is required for infection by other viruses like human coronaviruses OC43 and HKU1, as well as influenza C and D virus (Hulswit et al., 2019).

Interestingly, α2-6 sialylated glycans, expressed on the epithelial cells of the upper respiratory tract in humans attract seasonal influenza viruses, with inflammation limited to this location and usually milder disease. The highly pathogenic avian H5N1 influenza virus mainly binds to α2-3 sialylated glycans and primarily infects type 2 pneumocytes in the human lung, often leading to severe pneumonia (Shinya et al., 2006). Due to mutations in the HA, H5N1 viruses can bind both α2-3 and α2-6 sialylated glycans (Yamada et al., 2006), making it easier for the virus to spread from human to human. The H1N1 2009 virus is special as it acquired a D222G substitution in HA, detected in severe and fatal cases, which changes the receptor binding specificity from α2-6 to α2-3 sialylated glycans and allows the virus to infect ciliated bronchial cells, possibly increasing the severity of pneumonia (Liu et al., 2010; Mak et al., 2010).

Other viruses that predispose the host for secondary bacterial infections include respiratory syncytial virus (RSV), rhinovirus (RV), human coronavirus, parainfluenza virus and adenovirus (AV) (Falsey et al., 2013). Whereas parainfluenza virus also uses host sialic acids to attach to cells, syncytial virus, rhinovirus, parainfluenza virus and adenovirus utilize diverse attachment receptors (Moscona, 2005; Bochkov and Gern, 2016; Battles and McLellan, 2019; Stasiak and Stehle, 2020). The novel coronavirus SARS-CoV-2 binds the cellular receptor Angiotensin-converting enzyme 2 (ACE2) to cause coronavirus disease 2019 (COVID-19) (Yan et al., 2020). SARS-CoV-2 may be better in causing lung infection due to its greater binding affinity for the ACE2 receptors, which are present on epithelial cells in the lower airways. ACE2 receptors are also expressed on endothelial cells, allowing the virus to cause thrombosis and other vascular effects that greatly contribute to morbidity in COVID-19 patients (Ackermann et al., 2020; Cure and Cure, 2020; Sardu et al., 2020).

The mechanisms driving viral bacterial co-pathogenesis are diverse and complex, but often similar for the different viruses, including damage of the airways and dysregulated immune responses which, in turn, supports bacterial growth, adherence and invasion into normally sterile body sites. Similarities between influenza- and SARS-CoV-2-mediated host immune responses in severely sick patients that might favor bacterial coinfection include the damaged lung epithelium and the hyperactive immune response with increased levels of cytokines and pulmonary infiltration of immune cells (de Jong et al., 2006; Kash et al., 2006; Perrone et al., 2008; Huang et al., 2020; Lucas et al., 2020; Karki et al., 2021). Until now, we know little regarding potential bacterial, especially, pneumococcal coinfections, in COVID-19 patients. Frequencies of coinfections in COVID-19 patients range from 3.5% for confirmed community-onset bacterial infection (Vaughn et al., 2020) to 28% in severely ill patients from intensive care units (ICUs) (Contou et al., 2020; Feng et al., 2020; Zhou et al., 2020). In one study secondary bacterial infection, defined as a positive blood or LRT culture, occurred in 15% of all patients with 50% frequency in non-survivors compared to only 1% in survivors (Zhou et al., 2020). Another study, using throat swab samples and PCR, identified 24 different respiratory pathogens of which S. pneumoniae was the most common, followed by Klebsiella pneumoniae and Haemophilus influenzae (Zhu et al., 2020). A recent review summarized that only 1.3% of 522 patients in ICUs developed nosocomial superinfections with antimicrobial resistant bacteria, suggesting that COVID-19 overall associates less with bacterial infections, and the isolated bacterial pathogens differ from those causing lower respiratory tract infections during influenza pandemics, with S. pneumoniae isolated rarely (Fattorini et al., 2020). However, the methods and definitions used to identify bacterial coinfections are diverse, and the role of coinfection on clinical course and outcomes of COVID-19 has not been investigated yet. A recent summary demonstrates that about 16% of hospitalized COVID-19 patients develop secondary bacterial infection (Rawson et al., 2020) which requires antibiotic therapy. Another study analyzing the antibiotic use in patients with COVID-19 revealed that the prevalence of antibiotic prescribing was around 75% and it was higher with increasing patient age and with increasing proportion of patients requiring mechanical ventilation (Langford et al., 2021). In general, antimicrobial resistance is increasing worldwide (Klein et al., 2021) and a major driver is overuse and misuse of antibiotics. Thus, the ongoing pandemic of antimicrobial resistance may further increase, urging us to develop new strategies that help to prevent and treat viral-bacterial coinfection.