Your new experience awaits. Try the new design now and help us make it even better

REVIEW article

Front. Immunol., 05 January 2026

Sec. Microbial Immunology

Volume 16 - 2025 | https://doi.org/10.3389/fimmu.2025.1693964

The gut-lung axis: effects and mechanisms of gut microbiota on pulmonary diseases

Jiaxin LiuJiaxin LiuWeichen HongWeichen HongZhendong SunZhendong SunShuyu ZhangShuyu ZhangChenyu Xue*Chenyu Xue*Na Dong*Na Dong*
  • College of Animal Science and Technology, Northeast Agricultural University, Harbin, China

The proposal of the gut–lung axis has profoundly reshaped our understanding of the mechanisms underlying respiratory diseases. As a crucial component of this axis, the gut microbiota plays a central role in pulmonary immune regulation through inter-organ communication mediated by metabolic products. However, a systematic integration of mechanisms explaining how gut microbes achieve precise cross-organ immune regulation remains elusive. Existing research predominantly focuses on descriptive observations, such as the association between early-life microbiota dysbiosis and an increased risk of asthma and chronic obstructive pulmonary disease (COPD), as well as the frequent occurrence of acute respiratory distress syndrome (ARDS) and pulmonary fibrosis (PF), often accompanied by gut microbiome disruption. This paper focuses on three key gut microbial metabolites—short-chain fatty acids (SCFAs), tryptophan metabolites, and polyamines (PAs)—to examine their roles in immune regulation, maintenance of barrier function, and modulation of metabolic signaling networks. Based on the latest experimental and clinical evidence, this study systematically elucidates how dysbiosis of the gut microbiota, a key component of the gut-lung axis, crosses physiological barriers to exacerbate pulmonary inflammation. Regarding intervention strategies, probiotics, fecal microbiota transplantation (FMT), and CRISPR-Cas systems have demonstrated significant therapeutic potential in restoring gut microbial balance. Finally, this paper outlines future research directions, emphasizing the need to further explore non-invasive microbial sampling techniques, molecular interaction mechanisms of the gut-lung axis, and personalized microbiome-based diagnostic and therapeutic strategies to provide new insights for the prevention and treatment of respiratory diseases involving gut microbiota.

1 Introduction

Throughout the evolutionary journey of human life, the human body and microorganisms have coexisted in a mutual relationship of dependence and influence. Microbial communities colonize various parts of the body, primarily residing in the gastrointestinal tract and respiratory tract (13). They play crucial roles in the development of the human immune system, the regulation of metabolic balance, and disease prevention (4). Among these, the gut microbiota represents the most abundant and diverse microbial community within the human body, comprising bacteria, fungi, viruses, and other microorganisms. Its functions manifest in two primary aspects. Firstly, it serves as a vital agent for breaking down dietary fiber. During this process, it releases small-molecule metabolites (5) that regulate digestion and absorption while maintaining immune homeostasis (6). For instance, enzymes such as cellulase and pectinase, secreted by microbes, break down dietary fiber into oligosaccharides. These oligosaccharides undergo further fermentation by microbes in the colon, ultimately yielding small-molecule metabolites, primarily short-chain fatty acids (SCFAs). This process also produces other bioactive compounds such as indoles and polyamines (PAs), which serve as signaling molecules for subsequent digestive regulation and immune maintenance. On the other hand, gut microbes can also exert direct effects on immune regulation within the intestine. They modulate immune responses in distant mucosal sites—such as pulmonary mucosal immunity—through mechanisms including immune cascades and immune migration (7).

The gut and lungs are both key organs directly exposed to the external environment, interconnected through a complex bidirectional communication network that forms the gut-lung axis. This concept challenges the traditional view of the digestive and respiratory systems as independent entities, revealing how the gut microbiota plays a pivotal role in the pathophysiology of lung diseases by regulating immune and metabolic homeostasis (8). The bidirectionality of this axis manifests as follows: early-life antibiotic-induced gut dysbiosis increases the risk of allergic airway diseases (912). Conversely, pulmonary diseases such as asthma and chronic obstructive pulmonary disease (COPD) are frequently associated with microbial dysregulation in both the airways and the gastrointestinal tract (13, 14).

Early evidence of gut-lung interactions emerged from clinical observations, such as the significantly elevated incidence of chronic bronchopulmonary diseases in patients with inflammatory bowel disease (IBD) (1517). A large-scale cohort study revealed that patients with COPD had a 2.72-fold higher risk of Crohn’s disease (CD) compared to healthy controls, often accompanied by specific intestinal manifestations, such as malabsorption in the small intestine (1820). Similarly, pulmonary involvement—including interstitial lung disease, alveolar lymphocytosis, and reduced pulmonary diffusion capacity—is frequently detected in IBD patients (21), with respective prevalence rates of 44% (22), 48% (23), and 50% (24). Furthermore, clinical studies reveal that patients with idiopathic pulmonary fibrosis (IPF) undergoing pirfenidone therapy experience significantly increased gastrointestinal disease risk when consuming high saturated fatty acid (SFA) diets (25). These findings collectively validate the close pathophysiological connection between the gut and lungs. The recent discovery of the gut commensal protozoan Tritrichomonas musculis (T.mu) (26) has provided a novel perspective on how gut microbiota remotely regulate the immune system (27). The discovery of a novel subtype of type II innate lymphoid cells (ml-ILC2s) not only provides new insights into elucidating the pathophysiological mechanisms of asthma but also contributes crucial evidence to the study of mechanisms within the gut-lung axis (28). The gut-lung axis plays a pivotal role in multiple diseases, offering fresh insights into unraveling the mysteries of human health and tackling disease challenges.

However, current research faces significant limitations: most studies remain fragmented interpretations of single pathways and effects, with insufficient extrapolation from animal models to human clinical settings. For instance, commonly used mouse asthma models (e.g., OVA sensitization) can only mimic a single subtype of allergic asthma, failing to replicate the heterogeneity of human asthma and its complex associations with gut microbiota, environmental exposures, and other multifactorial influences (29, 30). This limitation explains why drugs targeting airway inflammation demonstrate clinical efficacy only in a subset of patients. This review aims to comprehensively analyze existing research findings to explore the mechanisms by which the gut microbiota functions as a critical component of the gut-lung axis, thereby providing new therapeutic directions for related diseases. Additionally, we will discuss future research directions and challenges, providing insights for further investigation into the mechanisms by which the gut microbiota influences the gut-lung axis.

2 Gut-lung axis

Traditional Chinese medicine theory has long held the view that “the lung and the large intestine are interiorly and exteriorly related” (31). Through multidisciplinary exploration involving molecular biology and chemical bioinformatics, a profound understanding has emerged of the close and inseparable connection between the gut and lungs (32). Research indicates that the gut and lungs share a certain modern biological foundation, with their pathophysiological changes exhibiting a degree of synchrony. Both organs share an embryonic origin in the endoderm of the gastrula (33), establishing a biological foundation for their deep connection. Despite differences in epithelial structure (34), they both harbor rich microbial communities and maintain barrier and microbial balance to defend against pathogens (35). More significantly, they exhibit extensive sharing and interaction in cell types and signaling pathways (36).

At the immunological mechanism level, the mucosal lymphocyte homing theory is central to explaining gut-lung axis. This theory posits that lymphocytes activated in mucosal sites, such as the gut, can express specific homing receptors (e.g., α4β7 integrin) to migrate directionally to distant mucosal sites, such as the lungs, thereby enabling immune coordination. This mechanism is concretely manifested in the production of secretory immunoglobulin A (sIgA): antigen-activated B cells can be precisely recruited to the mucosal lamina propria of another organ via homing pathways, such as CCR10/CCL28 and α4β7/MAdCAM-1. There, they differentiate into plasma cells and produce sIgA, thereby establishing systemic mucosal immune defense (3739).

Notably, these pathways play distinct roles in immunoglobulin A (IgA) cell homing: The CCR10/CCL28 pathway serves as the primary route for cross-organ homing. IgA-secreting cells highly express CCR10, enabling them to recognize the chemokine CCL28, which is secreted by intestinal and pulmonary epithelial cells. This facilitates directed migration to multiple mucosal tissues, such as the gut and lungs, forming an extensive immune network. whereas the α4β7 integrin/MAdCAM-1 pathway primarily mediates gut-specific homing. Under normal conditions, this pathway predominates in intestinal homing, allowing gut-activated IgA precursor cells to preferentially colonize the intestinal lamina propria. However, under abnormal conditions such as pulmonary inflammation, airway endothelial cells abnormally express MAdCAM-1, attracting IgA cells expressing α4β7 integrin from the gut to migrate to the lungs and participate in local immune responses.

Furthermore, cutting-edge research continues to provide new perspectives on the gut-lung axis mechanism. For instance, in a mouse model of sepsis, gut-derived memory γδ T17 cells migrate to the lungs via the Wnt/β-catenin signaling pathway, releasing IL-17 to exacerbate lung injury. Conversely, dextroketamine (S-KT) reduces cell migration by inhibiting this pathway, offering a novel therapeutic target for sepsis treatment (40). Collectively, these findings demonstrate that intestinal immune cells can remotely regulate pulmonary immune homeostasis through the gut-lung axis (41) and even influence the growth and function of bone marrow cells (42, 43).

From their shared embryonic origin to their common mucosal immune systems, and from fundamental homing pathways to cutting-edge cell migration mechanisms, modern research has revealed profound intrinsic connections between the gut and lungs across multiple dimensions. Therefore, in-depth investigation of gut microbiota holds significant importance for elucidating the mechanisms of the gut-lung axis (32) and guiding clinical diagnosis and treatment (14).

3 Mechanisms of gut microbiota influence on the gut-lung axis

The gut is one of the largest immune organs in the human body (44). The gut microbiota exhibits remarkable diversity and richness. In healthy individuals, the gut microbiota forms a complex and dynamically balanced ecosystem primarily dominated by four major bacterial phyla: Firmicutes, Bacteroidetes, Actinobacteria, and Proteobacteria (45). At the genus level, common symbionts include Bacteroides, Prevotella, Ruminococcus, Bifidobacterium, and Lactobacillus. These microorganisms play crucial roles in maintaining intestinal barrier integrity, regulating the immune system, and producing metabolites. Through these functions, gut microbes remotely regulate pulmonary homeostasis. For instance, in germ-free mouse models, compared to wildling mice with richer microbiomes, germ-free mice exhibit more intense inflammatory responses in allergic airway diseases and poorer outcomes during acute infections (46, 47).

The gut primarily signals to the lungs via two circulatory pathways—the blood and lymphatic systems—enabling communication between the gut and the lungs. First, via the portal vein-systemic circulation pathway, microbial metabolites absorbed by the intestinal epithelium (e.g., SCFAs, tryptophan derivatives) are transported to the liver via the portal vein. After partial hepatic metabolism, the remaining active molecules enter the systemic circulation and ultimately reach the pulmonary vasculature. There, they bind to receptors on the cell surfaces, such as those found in alveolar macrophages, to modulate the immune status. In the mesenteric lymphatic-thoracic duct pathway, certain metabolites, antigens, and regulated immune cells are absorbed by intestinal lymphatics and directly injected into the systemic circulation via the thoracic duct. Bypassing the liver, this pathway delivers these signaling molecules and cells to the lungs at higher bioactive concentrations, enabling more precise and effective participation in mucosal immune responses.

It is crucial to emphasize that gut-lung axis is a bidirectional process. Pulmonary inflammation can trigger systemic inflammatory responses and stress states. The released inflammatory cytokines and stress hormones can affect intestinal blood flow, disrupt the epithelial barrier, and subsequently lead to dysbiosis of the gut microbiota. Consequently, harmful substances such as endotoxins (LPS) enter the circulation, further exacerbating systemic inflammation. These substances then feed back to the lungs via the bloodstream, forming a vicious cycle centered on the gut microbiota that continuously worsens lung injury.

Thus, a series of metabolites derived from the gut microbiota serves as the core mediators enabling this bidirectional communication. This paper will now delve into three key metabolites—SCFAs, tryptophan derivatives, and PAs—detailing their specific molecular mechanisms for regulating immune balance through the gut-lung axis.

3.1 SCFAs

Diet is one of the most effective strategies in adjunctive therapy for gut dysbiosis, as it can influence gut microbiome dynamics and host health (48). Numerous epidemiological studies indicate a negative correlation between dietary fiber intake and asthma incidence (49, 50). Patients with severe asthma typically have lower fiber intake, while a high-fiber diet can reduce serum levels of inflammatory markers (IL-6 and CRP) (51). This occurs because SCFAs, produced by gut microbes fermenting dietary fiber, enhance the function of regulatory T cells (Tregs), thereby alleviating allergic airway inflammation (52, 53). These findings have been validated in mouse models. Therefore, in-depth investigation of SCFAs’ role and mechanisms in immune regulation (5, 54) holds significant implications for understanding related diseases.

SCFAs are the end products of gut microbial fermentation of dietary fiber, primarily comprising acetate, propionate, and butyrate. After absorption by intestinal epithelial cells, they enter the liver via the portal vein. Following partial metabolism, they enter systemic circulation and ultimately reach the lungs via the bloodstream, enabling gut-lung communication.

SCFAs exert multifaceted regulatory effects on the immune system, primarily manifested in two aspects. Firstly, SCFAs (especially butyrate) serve as the primary energy source for colonic epithelial cells, promoting goblet cell differentiation and mucus secretion, strengthening epithelial tight junctions, and enhancing IgA production (55, 56). The mucus produced by goblet cells and IgA jointly form a protective layer on the intestinal mucosal surface. Mucus physically prevents pathogens from directly contacting intestinal epithelial cells, while IgA specifically binds pathogens, blocking their adhesion and invasion of epithelial cells. Together, they construct a physical and immune barrier (57, 58), effectively preventing pathogen invasion and the translocation of harmful substances (Figure 1a). On the other hand, SCFAs play a crucial role in core immunoregulatory functions in the lungs. For instance, acetate promotes the anti-inflammatory polarization of alveolar macrophages, increasing IL-10 secretion while reducing the release of pro-inflammatory factors, such as TNF-α and IL-6 (Figure 1b). Mice deficient in SCFAs receptors exhibit more severe inflammatory responses in asthma models (7, 41, 52, 59), confirming their critical role in respiratory tract protection (60).

Figure 1
Diagram depicting the interaction between the gut and lungs via the portal vein. The gut section shows tryptophan-metabolizing bacteria producing SCFAs and 5-HIAA, affecting IL-10 and TNF-β levels. The lung section highlights immune cells like Tregs, DCs, and macrophages influenced by IL-10 and other cytokines, affecting GPR41/43 and GPR109A receptors. Pathways include NF-kB, cAMP, PKA, and PKC-ζ. Claudin and Occludin are part of the barrier function. The connection between gut-derived metabolites and lung immune responses is shown through blood circulation to the liver and lungs.

Figure 1. This schematic diagram illustrates the core mechanisms by which SCFAs derived from gut microbiota regulate immune balance along the gut-lung axis through multiple pathways. The diagram is divided into two main sections: the lungs (upper portion) and the gut (lower portion), interconnected via the portal vein and blood circulation. The lung section depicts SCFA-mediated immune regulation mechanisms upon reaching the lungs: primarily by promoting IgA secretion to maintain pulmonary mucosal immune homeostasis (a); modulating alveolar macrophage polarization to enhance epithelial barrier protein function (b); GPR41/43 receptor inhibition of the cAMP-PKA signaling pathway to downregulate proinflammatory factors IL-1β and IL-6 (c); and activating the PKC-ζ-IKK-NF-κB signaling cascade via GPR109A to promote anti-inflammatory mediator expression (d). The intestinal section illustrates how dietary fiber undergoes fermentation by gut microbiota to produce SCFAs (acetic acid, propionic acid, butyric acid). These SCFAs exert effects through the following pathways: promoting Treg differentiation via HDAC inhibition (e); influencing 5-HIAA production by regulating tryptophan metabolism, thereby modulating Breg function through AhR (f); and facilitating the migration of generated Tregs and regulatory immune cells to the lungs via the bloodstream.

The direct immunomodulatory effects of SCFAs are mediated through binding to G protein-coupled receptors (GPCRs) such as GPR109A, GPR41, and GPR43, which exhibit differential expression across cell types and tissues (61, 62). Upon ligand binding, GPCRs couple with distinct downstream effectors (Gi/o or Gq), triggering intracellular signaling cascades. For instance, activation of GPR41 and GPR43 inhibits adenylate cyclase (AC) activity (63), thereby reducing intracellular cyclic AMP (cAMP) production and suppressing protein kinase A (PKA) signaling. This mechanism produces multiple anti-inflammatory effects in the lung. In alveolar macrophages, it suppresses the transcription and release of pro-inflammatory cytokines, including TNF-α, IL-1β, and IL-6 (Figure 1c). Simultaneously, it influences T cells differentiation by promoting Treg generation and function while inhibiting Th17 cell differentiation, thereby regulating pulmonary immune homeostasis. In pulmonary epithelial cells, it enhances epithelial barrier integrity by regulating the phosphorylation status of tight junction proteins, such as Occludin and Claudin, thereby reducing vascular permeability. This effectively prevents plasma protein and inflammatory cell extravasation, alleviates pulmonary edema, and protects gas exchange function. For instance, following respiratory syncytial virus infection, acetate activates GPR43 to modulate the interferon-β (IFN-β) response in pulmonary epithelial cells (64) and stimulates the proliferation of colonic lumen-associated Tregs, leading to substantial production of the anti-inflammatory cytokine IL-10 (33). Furthermore, GPR109A, upon activation by butyrate, similarly inhibits cAMP production via Gi protein coupling, thereby activating protein kinase C-ζ (PKC-ζ). Activated PKC-ζ phosphorylates IκB kinase (IKK), leading to IκB phosphorylation and degradation, thereby releasing nuclear factor κB (NF-κB). Upon entering the nucleus, NF-κB promotes the differentiation and proliferation of Tregs by initiating the transcription of specific genes (Figure 1d). These Tregs suppress effector T cell activity by secreting cytokines such as IL-10. Simultaneously, the activation of transcription factors like NF-κB suppresses macrophage overactivation, thereby reducing their release of proinflammatory cytokines, such as TNF-α and IL-1β.

Furthermore, SCFAs exert immunomodulatory effects through histone deacetylase (HDAC) inhibition pathways (65, 66). After entering cells via passive diffusion or specific transporters such as the high-affinity Na+-coupled SLC5A8 transporter or low-affinity H+-coupled SLC16A1 transporter, SCFAs effectively inhibit HDAC activity (14). This leads to increased histone acetylation, loosening chromatin structure and facilitating transcription factor binding to DNA. Consequently, gene expression related to immune regulation, cell differentiation, and inflammatory responses is activated. In the gut, SCFAs promote the differentiation and function of Tregs while suppressing the production of proinflammatory cytokines. These gut-induced Tregs can migrate via the bloodstream to the lungs, suppressing local inflammatory responses—a key component of immune regulation along the gut-lung axis (Figure 1e). Additionally, SCFAs can upregulate neutrophil chemokine receptors (e.g., CXCR1 and CXCR2) through the HDAC pathway, enhancing neutrophils’ sensitivity to chemotactic signals and promoting their migration to inflammatory sites. Concurrently, high doses of propionate and butyrate induce caspase-dependent apoptosis in normal neutrophils (67), facilitating timely clearance of functionally exhausted cells and preventing excessive inflammation.

Specifically, SCFAs synergistically maintain immune homeostasis via two core pathways: first, acting as ligands for receptors like GPR109A to drive the differentiation of naive T cells into Tregs within antigen-presenting cells, while suppressing colonic inflammation by inducing anti-inflammatory factor networks (68); second, directly enhancing acetylation levels at key gene sites such as Foxp3 by inhibiting HDAC activity, thereby synergistically amplifying Treg expansion and jointly regulating inflammatory responses (56).

Beyond regulating T cells, macrophages, and the epithelial barrier, SCFAs modulation of B lymphocytes—particularly regulatory B cells (Bregs)—has increasingly emerged as another critical link in maintaining gut-lung axis immune homeostasis. Research by Claudia Mauri’steam provides a clear mechanistic example. The study revealed significantly reduced butyrate.

levels in the intestines of rheumatoid arthritis (RA) patients and model mice, positively correlated with the frequency of circulating IL-10+ Bregs (69). Mechanistically, butyrate supplementation does not directly act on B cells; instead, it reshapes the gut microbiota, enriching bacteria such as Allobaculum and Bifidobacterium that influence tryptophan metabolism. This markedly increased levels of the serotonin metabolite 5-hydroxyindole-3-acetic acid (5-HIAA). As an endogenous ligand, 5-HIAA activates the aryl hydrocarbon receptor (AhR) on B cells surfaces. AhR activation subsequently initiates a transcriptional program that supports Bregs function, enhancing IL-10 secretion while inhibiting differentiation into plasma cells (70), thereby exerting therapeutic effects in arthritis models (69, 71) (Figure 1f). This study first elucidates how a microbial metabolite precisely regulates Breg function via AhR by modulating another metabolite (5-HIAA).

Beyond these indirect pathways mediated by specific metabolites, whether SCFAs can directly act on B cells through their inherent HDAC inhibitory activity—like their regulation of T cells—remains a compelling scientific question. SCFAs (particularly butyrate) are known potent histone deacetylase inhibitors (HDACi) (72). Based on this, it is hypothesized that SCFAs may directly promote Bregs differentiation by altering chromatin accessibility of genes associated with B cells differentiation and function. However, the specific role of this direct mechanism within the gut-lung axis remains to be confirmed by research.

In the context of the gut-lung axis, gut-derived SCFAs may help maintain a regulatory Bregs population in the lungs. These pulmonary Bregs subsequently suppress pathogenic T cells responses (e.g., Th2, Th17) and neutrophilic inflammation through mechanisms such as IL-10 secretion, thereby exerting protective effects in the immunopathological regulation of diseases like asthma and COPD. Thus, elucidating key pathways by which SCFAs regulate pulmonary immune homeostasis via Bregs deepens our understanding of gut-lung axis communication mechanisms.

SCFAs serve as pivotal messengers within the gut-lung axis. However, current research exhibits notable limitations. First, studies have disproportionately focused on butyrate while neglecting SCFAs ratios. In the human gut, acetate constitutes 60–70%, propionate 20–30%, and butyrate 5–10%—a ratio fundamental to maintaining microbial community homeostasis and systemic immune equilibrium. Yet, when this ratio becomes imbalanced—such as with excessively high acetate levels—whether this disrupts the pulmonary immune microenvironment and exacerbates lung inflammation remains unsupported by systematic animal or clinical research data. Secondly, it is worth noting that most current research on the SCFAs-HDAC-Treg axis originates from mouse models. While the underlying mechanisms are considered conserved in humans, species differences may exist in SCFAs types, concentrations, and tissue-specific effects. These variations must be carefully considered when translating findings from mouse models to human clinical applications. Finally, the actual concentration of SCFAs reaching the lungs via the bloodstream and whether they can attain effective anti-inflammatory thresholds requires further validation through animal experiments and clinical data. Future research should focus on the synergistic effects of SCFAs groups and their precise functions at physiological concentrations.

3.2 Tryptophan and its derivatives

Research has revealed that serum levels of tryptophan metabolites are significantly reduced in patients with allergic asthma (73). Intraperitoneal injection of tryptophan metabolites alleviates asthma symptoms in OVA-induced asthmatic mice while decreasing OVA-IgE and inflammatory factor levels (74). These effects may be attributed to the regulation of Th17 and Tregs (75) differentiation. Tryptophan, an essential amino acid indispensable in the human diet, and its metabolites derived from dietary sources and the gut microbiota act as ligands for aromatic receptors. These metabolites regulate various pathophysiological processes, such as immune responses, and mediate gut mucosal barrier protection through multiple pathways involving gut microbial interactions. Intestinal tryptophan metabolism involves the kynurenine (Kyn), serotonin (5-HT), and indole pathways (76). Under the action of gut symbionts, tryptophan can be converted into indole, indole-3-aldehyde (IAld), indole-3-propionic acid (IPA), indole-lactic acid (ILA), indole-3-ethanol, tryptamine (TAM), indoleacetaldehyde (IAM), indoleacrylic acid (IA), and other indole derivatives (77). The host and gut microbiota engage in competitive metabolism of tryptophan: the host produces pro-inflammatory metabolites via the Kyn pathway, while the gut microbiota generates anti-inflammatory and barrier-protective metabolites via the indole pathway. The equilibrium between these pathways directly influences immune homeostasis; disruption is closely associated with inflammatory diseases and autoimmune disorders. The mechanisms underlying this balance within the gut-lung axis remain poorly understood, and future research will focus on comparing the differential effects of various indole derivatives.

Early studies indicate that compared to non-specific pathogen-free mice, germ-free mice exhibit reduced mRNA expression of tight junction (TJ) or adherens junction (AJ) molecules in colonic epithelium, alongside significantly lower indole levels. Treatment with indole capsules reverses this phenomenon (78), confirming that tryptophan and its derivatives promote the establishment of the intestinal epithelial barrier in vivo (Figure 2a). Similarly, IPA, a metabolite of tryptophan and an endogenous ligand for the pregnane X receptor (PXR), modulates luminal sensing and signaling pathways via toll-like receptor 4 (TLR4) to regulate these pathways (79). It downregulates TNF-α expression in intestinal cells within mouse models of intestinal inflammation, while upregulating the expression levels of tight junction proteins. Furthermore, it activates tuft cells via the GRP41 pathway, increasing IL-25 secretion and thereby safeguarding intestinal barrier integrity (Figure 2b).

Figure 2
Diagram illustrating the pathway of indole and its derivatives through the lung and gut. The lung section highlights XRE influencing ARNT and AhR, leading to immunosuppression affecting DC, T cells, macrophages, and B cells. The gut section shows metabolites Try, KYN, 5-HT, and others interacting with TLR4 and GPR41, impacting TJ, AJ, TNF-α, IL-25, and the PI3K/AKT pathway.

Figure 2. The schematic illustrates how tryptophan metabolites originating from the gut reach the lungs via the bloodstream and regulate immune homeostasis through four core pathways, divided into two major modules: the gut (right side) and the lungs (left side). In the gut, microorganisms convert tryptophan into indole and its derivatives (such as IAId and IAA). Upon entering the circulatory system and reaching the lungs, these substances activate AhR as endogenous ligands. Activated AhR forms a complex with ARNT proteins in the cell nucleus, binds to XRE response elements, and initiates a key immunosuppressive transcriptional program. This program modulates the functions of DCs, macrophages, T cells, and B cells, ultimately inducing an immunosuppressive state to alleviate excessive lung inflammation (c). 5-HT produced by gut microbial metabolism enters the circulation and acts on pulmonary cells. It modulates the balance between immune cell function and inflammatory responses in the lung by activating the intracellular PI3K/AKT signaling pathway (d). Multiple tryptophan metabolites exert synergistic effects through distinct receptor mechanisms. Some metabolites participate in immunoregulation by activating receptors such as GPR41; while others exert dual effects by acting on TLR4 to suppress pro-inflammatory TNF-α production and promote anti-inflammatory IL-25 release (b). Furthermore, these metabolites directly strengthen TJ and AJ between intestinal epithelial cells, reinforcing the physical barrier to prevent translocation of harmful substances and maintain systemic immune stability at its source (a).

Upon binding to Toll-like receptors (TLRs) on the surfaces of immune cells, gut microbiota and their metabolites induce the upregulation of indoleamine 2,3-dioxygenase 1 (IDO1) expression in host cells (80, 81), thereby stimulating IDO1 activity (82). This promotes the conversion of tryptophan into Kyn. Kyn can regulate immune cell differentiation and function by activating the AhR in pulmonary endothelial cells. This includes promoting Treg generation and suppressing excessive activation of effector T cells, thereby maintaining immune homeostasis in the gut and lungs. In the gut, the Kyn-AhR signaling pathway helps prevent excessive immune responses by gut immune cells against commensal bacteria; In the lungs, this pathway modulates immune responses to pathogens or allergens, reducing inflammatory reactions. Indole and its derivatives also activate AhR. For instance, indolepyruvate stimulates AhR to decrease Th1 cells and increase Tr1 cells in colonic lymphoid tissue, thereby resolving chronic inflammation in a T cell-mediated colitis mouse model. Indole-3-pyruvate also reduces the ability of mesenteric lymph node (MLN) DCs to induce Th1 cell differentiation via AhR, increasing anti-inflammatory CD103(+) CD11b(-) DCs in MLNs (83). Indole-3-carboxaldehyde absorbed into the circulation from the gut specifically binds to AhR on pulmonary vascular endothelial cells. Upon AhR activation, it dissociates from heat shock proteins and forms heterodimers with the Aromatic Receptor Nuclear Translocation Protein (ARNT). This heterodimer enters the cell nucleus and binds to specific DNA sequences, namely the exogenous response element (XRE), thereby regulating the transcription of downstream target genes. This affects signaling molecules downstream of the Apelin-APJ signaling pathway, such as by modulating intracellular levels of second messengers (e.g., cAMP, Ca²+) or influencing protein kinase activity, thereby activating related signaling pathways (Figure 2c).

Sputum from cystic fibrosis patients lacks 5-HT. Supplementing 5-HT restores the disrupted tryptophan metabolism observed in the disease. Tryptophan is converted to 5-hydroxy tryptophan by tryptophan hydroxylase, which is then decarboxylated by decarboxylase to produce 5-HT. 5-HT promotes proliferation and repair of intestinal epithelial cells. It acts on 5-HT receptors in intestinal epithelial cells, activating intracellular signaling pathways such as the PI3K-AKT pathway (Figure 2d). This facilitates continuous renewal of intestinal epithelial cells, maintaining mucosal integrity while sustaining initiation of the IDO1/Kyn protective pathway and limiting the indole/AHR pathway to promote pathogen clearance and maintain immune homeostasis (84). It also suppresses the function of immune cells, including macrophages, T/B lymphocytes, and antigen-presenting cells.

3.3 PAs

Multiple microorganisms in the gut possess the ability to synthesize PAs. For example, bacteria such as E. coli can convert arginine into ornithine through specific metabolic pathways. Ornithine is then converted into putrescine by ornithine decarboxylase, which can further transform into spermine and spermidine (85) (Figure 3a). Additionally, certain lactic acid bacteria can utilize arginine to produce guanidine, which undergoes a series of reactions to generate PAs. These microbially derived PAs exert significant regulatory effects on pulmonary immunity, particularly on the function of alveolar macrophages. PAs not only enhance the phagocytic activity of alveolar macrophages against pathogens but also regulate their release of cytokines and inflammatory mediators, such as TNF-α and IL-1. In smoking-induced pulmonary inflammation, PAs also exhibit antioxidant effects, mitigating oxidative damage to alveolar macrophages induced by cigarette smoke by scavenging free radicals, thereby reducing the severity of inflammatory responses (Figure 3b). Another study revealed the pivotal role of inosine derived from Bifidobacterium pseudofasciolopium in host defense against non-tuberculous mycobacterial (NTM) infection (86). Its protective mechanism is dual-pronged. Upon entering the systemic circulation, inosine stimulates effector T cells to produce more IFN-γ and promotes Th1 cell differentiation, thereby enhancing cellular immunity and effectively suppressing NTM infection. Simultaneously, inosine binds to A3 adenosine receptors on pulmonary mast cells and alveolar epithelial cells (AECs). It reduces tissue damage by downregulating pro-inflammatory factors, such as TNF-α, IL-1, and IL-6, while elevating the anti-inflammatory factor IL-4 (87), thereby exerting a protective effect (Figure 3c).

Figure 3
Diagram illustrating the interaction of free radicals, polyamines, inosine, and immune cells. Free radicals, influenced by cigarette smoke, affect macrophages and endothelial cells, releasing cytokines like IL-1 and TNF-alpha. Polyamines, derived from bacteria like Escherichia coli, impact immune responses. Inosine interacts with endothelial cells, engaging A3R receptors and affecting T cell and Th1 activity. The image highlights molecular pathways and cell interactions in an inflammatory context.

Figure 3. This figure systematically elucidates the molecular mechanism by which gut microbiota metabolize arginine to produce bioactive substances such as PAs, thereby influencing pulmonary immune homeostasis. It reveals how environmental factors like smoking interfere with this process by inducing free radicals. The schematic is clearly divided into two major modules: the gut (lower section) and the lungs (upper section). It illustrates how gut-derived PAs and their related metabolites reach the lungs via the bloodstream, where they regulate immune responses through three core pathways. Within the gut, microorganisms like E. coli convert arginine into ornithine, which is further metabolized into PAs (including spermine and spermidine). These PAs enter systemic circulation and reach the lungs. In the lungs, PAs induce free radical generation. This process is exacerbated by factors like smoking. Excessive free radicals damage lung cells through oxidative stress mechanisms, promote pro-inflammatory states, and alter key cytokine levels (a). Inosine, a metabolite associated with polyamine metabolism, plays a crucial immunoregulatory role in the lungs. It modulates the activity of mast cells and endothelial cells by activating A3R receptors on their surfaces. Concurrently, this pathway influences the differentiation of naive T cells, promoting their polarization toward a Th1 phenotype, thereby directing the orientation of the pulmonary adaptive immune response (b). In the gut, lactic acid bacteria convert arginine into Imidazolidinyl urea. Upon reaching the lungs, Imidazolidinyl urea primarily acts on alveolar macrophages to regulate their functional state. The regulated macrophages exhibit reduced secretion of proinflammatory cytokines (such as TNF-α, IL-1, IL-6), while levels of cytokines like IFN-γ and IL-4 are relatively elevated, thereby establishing an anti-inflammatory and immunoregulatory environment in the lungs (c).

In summary, based on previous research, gut microbiota metabolites, including SCFAs, tryptophan metabolites, and PAs, can regulate Tregs balance and participate in cytokine crosstalk, thereby promoting healthy immune responses. Along the gut-lung axis, immune cell signaling between the two organs, as well as the direct effects of gut metabolites, can modulate the body’s immune environment. Disruptions in the gut microbiota may consequently influence pulmonary inflammation. Therefore, delving into the mechanisms underlying gut microbial dysbiosis opens new avenues for developing targeted therapeutic strategies aimed at the gut microbiome to intervene in and treat immune-mediated lung diseases.

4 The impact of gut microbiota dysbiosis on lung diseases

The microbiota maintains a dynamic equilibrium within a healthy organism. Once this balance is disrupted, it may lead to disease by altering the host’s immune function. Microbiota dysbiosis typically refers to abnormal changes in the composition or function of the microbial community. At the genus level, dysbiosis may manifest as a reduction in beneficial bacteria, such as Bifidobacterium, Lactobacillus, and Prevotella, or an increase in potentially pathogenic bacteria, like Streptococcus and Enterococcus, often accompanied by decreased community diversity or abnormal proportions of phyla. Microbiome diversity is typically assessed through two dimensions: α-diversity and β-diversity. α-diversity measures species richness and evenness within individual samples; reductions in common metrics (e.g., Shannon index, Chao 1 index) are often associated with disease states. β-diversity, however, compares overall differences in microbial community composition between samples. Visualized through multivariate statistical.

methods, such as principal coordinate analysis (PCoA), it effectively reveals significant separation in microbial structure between diseased groups and healthy controls. It is noteworthy that the lung and gut microbiomes exhibit close bidirectional crosstalk via the gut-lung axis (34), and imbalances occurring in one organ can affect the other (33, 88). For instance, early life represents a critical period for gut microbiota colonization. During this phase, reduced specificity of four bacterial genera—Faecalibacterium, Lachnospira, Veillonella, and Rothia—increases the subsequent risk of developing lung diseases such as asthma (12).

The gut microbiota is essential for immune responses (89). A healthy gut microbiota serves as the body’s innate immune barrier, effectively preventing harmful microorganisms from penetrating the intestinal wall into the bloodstream. Research by Schuijt et al. revealed that germ-free mice not only exhibited accelerated bacterial spread, severe inflammation, and organ failure, but also demonstrated impaired phagocytic capacity in alveolar macrophages, along with compromised innate and adaptive antiviral immune responses (90, 91). Furthermore, disruption of gut microbial balance by antibiotics and other factors impairs the ability of pulmonary macrophages to produce type I and type II IFNs. This significantly reduces mice’s capacity to limit viral replication and clear the influenza virus after infection (92). These findings collectively demonstrate that a stable gut microbiota is essential for maintaining effective pulmonary immune defense.

Distinct pulmonary diseases are frequently associated with characteristic dysbiosis of the gut microbiota (37, 57). Studies reveal a reduced abundance of the Firmicutes phylum and an increased abundance of the Proteobacteria phylum in the guts of patients with COPD. Concurrently, beneficial bacteria, such as the Bifidobacterium and Lactobacillus genera, decrease in number (9395). This imbalance may exacerbate systemic inflammation by reducing the production of SCFAs. Compared to healthy individuals, COVID-19 patients exhibit significantly reduced gut bacterial diversity, characterized by a substantially increased relative abundance of opportunistic pathogens, such as Streptococcus, Lactobacillus, Micrococcus, and Actinomyces, alongside decreased proportions of beneficial symbionts (96). Such disruption may impair immune responses and contribute to disease progression.

4.1 Asthma

Numerous cohort studies have confirmed that early-life gut microbiota dysbiosis is a significant risk factor for the development of subsequent asthma (9799). Moreover, asthma patients typically exhibit lower gut microbiota diversity than healthy individuals, with shared characteristics across different regions and populations. For instance, in Canadian children at high risk for asthma, the relative abundance of Spirochaeta, Microspira, Faecalibacterium, and Ruminococcus was significantly reduced, accompanied by decreased acetate levels and abnormal regulation of gut-liver metabolites (12). Similarly, increased relative abundance of Streptococcus and Bacteroides species alongside decreased Bifidobacterium and Nodularibacter species in fecal samples from Ecuadorian children at 3 months of age was associated with a higher risk of atopy and wheezing by age 5 (100). Among US newborns, individuals with low relative abundances of Bifidobacterium, Akkermansia, and Faecalibacterium genera, coupled with high relative abundances of Candida and Rhodotorula, exhibited the highest risk of developing atopy and asthma (101). These findings collectively demonstrate that the absence of specific protective bacterial genera and reduced gut diversity in early life are significantly associated with an increased risk of asthma.

From the perspective of gut microbial metabolites, SCFAs produced by gut microbes fermenting dietary fiber exert a clear protective effect against asthma (7, 52). Children with high fecal butyrate and propionate levels at age 1 exhibited lower subsequent risks of atopic sensitization and asthma (102). To elucidate the influence of the gut microbiota on the distal lung, numerous studies have utilized mouse models. These investigations suggest that microbial metabolites, such as SCFAs, may promote Treg expansion and IL-10 production by inhibiting epigenetic pathways, including histone deacetylation, thereby alleviating airway inflammation (103). However, not all microbial metabolites exert protective effects. For example, increased levels of histamine-producing bacteria in the feces of asthma patients correlate with disease severity. In various experimental models, bacterial-derived histamine and lipid metabolites, such as 12,13-diHOME, exhibit complex effects on asthma inflammatory responses and may even promote inflammation (104).

Furthermore, clinical evidence suggests that gut dysbiosis primarily influences asthma through two mechanisms: abnormal immune regulation and impaired intestinal barrier function. Dysbiosis disrupts immune regulation by enhancing Th2 cell responses, increasing the secretion of pro-inflammatory cytokines, triggering airway inflammation and hyperresponsiveness, and exacerbating asthma symptoms. Simultaneously, it compromises the intestinal barrier, allowing harmful substances and allergens to enter the bloodstream or tissues, thereby activating the immune system and further driving the development of asthma.

More critically, the gut-lung axis operates in a bidirectional manner. Persistent pulmonary inflammation caused by asthma can reciprocally disrupt the gut environment by inducing systemic inflammation, altering neuroendocrine function, and affecting the migration of immune cells. This leads to impaired intestinal barrier function and a further reduction in microbial diversity. This secondary gut microbiota dysregulation may then exacerbate systemic inflammation, creating a vicious cycle that promotes asthma chronicity and severity. Collectively, human epidemiological studies and animal models reveal the pivotal role of the gut-lung axis in asthma pathogenesis.

4.2 Acute respiratory distress syndrome

Acute respiratory distress syndrome (ARDS) is a severe respiratory failure disorder characterized by high incidence and mortality rates (105). Recent studies have revealed widespread dysbiosis of the gut microbiota in ARDS patients, primarily attributed to systemic dysregulation of inflammation and disruption of the intestinal barrier. During ARDS onset, levels of proinflammatory factors such as IL-1β and TNF-α surge dramatically in patients’ bronchoalveolar lavage fluid (BALF) and plasma. Once these factors enter the bloodstream, they activate pulmonary immune cells, triggering systemic inflammatory dysregulation (106). Concurrently, gut dysbiosis severely compromises the intestinal barrier, causing abnormalities in tight junction proteins. This includes the upregulation of junctional adhesion molecules (JAM) and claudin 2, alongside the downregulation of claudin 5 (107). Additionally, the distribution of claudin 1, 3, 4, 5, and 8 becomes disorganized, significantly increasing intestinal permeability (108, 109). This allows harmful substances, such as bacteria and endotoxins, to breach the barrier and enter the systemic circulation, triggering a systemic inflammatory response that ultimately increases mortality.

Mechanical ventilation (MV) remains a core therapeutic approach for ARDS (110); however, it simultaneously induces ventilator-induced lung injury and exacerbates both local and systemic inflammation. Notably, this ventilation-induced inflammatory response reciprocally impacts intestinal blood flow and barrier function, altering the gut environment. This further aggravates dysbiosis and barrier damage, complicating the clinical course. Consequently, interventions targeting the gut microbiota—such as probiotic administration or fecal microbiota transplantation (FMT)—may improve ARDS outcomes by repairing the intestinal barrier, suppressing bacterial translocation, and modulating the immune response.

4.3 COPD

COPD is a lung disorder characterized by airflow limitation. Currently, COPD ranks first among chronic respiratory diseases in all-cause mortality, causing over 3 million deaths globally each year (111, 112). Therefore, in-depth research into the pathogenesis of COPD is urgently needed.

Smoking is a major risk factor for COPD. Harmful substances in tobacco smoke, such as tar, nicotine, and carbon monoxide, directly damage airway epithelial cells, disrupt the mucociliary.

clearance system, increase epithelial reactive oxygen species (ROS) levels, heighten permeability, and activate innate immune cells in the lungs to secrete large amounts of pro-inflammatory factors (113), thereby triggering chronic inflammation and airflow limitation. Smoking not only exacerbates COPD symptoms and accelerates lung function decline (114) but may also alter the gut microbiota, promoting biofilm formation by specific bacterial genera, such as Streptococcus, and enhancing their intestinal colonization capacity (115).

Growing evidence indicates that gut microbiota dysbiosis is also a significant factor influencing COPD pathophysiology (116, 117). On the one hand, gut microbiota interacts with DCs, inducing innate lymphoid cells in the gut to express the chemotactic receptor CCR4, which enables their migration to the lungs and increases susceptibility to respiratory infections (118). On the other hand, disruption of the gut microbiome leads to elevated levels of inflammatory mediators, such as IL-17A, IL-17F, and TNF-α, which then reach the lungs via the bloodstream, recruiting and activating neutrophils and macrophages to exacerbate pulmonary inflammation. Concurrently, gut and lung microbiota dysbiosis can activate NLRP3 inflammasomes, which mediate the secretion of proinflammatory cytokines such as IL-1β and IL-18, thereby further aggravating COPD.

Analysis via 16S rRNA gene sequencing reveals significant differences in gut microbiota between patients with COPD and healthy individuals, with these disparities widening as disease severity increases. Patients commonly exhibit reduced gut microbial diversity, a decreased relative abundance of the Bacteroidetes phylum, an increased relative abundance of the Firmicutes phylum, imbalanced ratios between the two phyla, and significantly lower levels of SCFAs, such as acetate, isobutyrate, and isovalerate. Total SCFAs levels are also lower than in healthy individuals (119). Collectively, these alterations compromise the integrity of the intestinal epithelial barrier, allowing harmful substances, such as endotoxins, to enter the bloodstream. This triggers systemic inflammation and oxidative stress. These substances reach the lungs via the bloodstream, continuously activating immune cells and exacerbating the pathological progression of COPD. Concurrently, the decline in SCFAs levels weakens their role in inducing Tregs, further diminishing the gut’s innate immune protection for the lungs.

Population-based epidemiological studies confirm that COPD frequently coexists with chronic gastrointestinal diseases, demonstrating bidirectionality in the gut-lung axis. The prevalence of IBD among COPD patients is significantly higher than in the general population (120, 121). Conversely, individuals with IBD may face a higher risk of developing COPD compared to healthy individuals. COPD patients, due to impaired lung function and long-term use of medications such as corticosteroids and aminophylline, may experience intestinal hypoxia, mucosal damage, and dysbiosis (122). This, in turn, increases intestinal epithelial permeability, mediates inflammatory responses, and exacerbates symptoms of pulmonary disease, further demonstrating the impact of the gut-lung axis on COPD.

4.4 Pulmonary fibrosis

PF is a disease characterized by abnormal proliferation of fibrous tissue within the pulmonary interstitium and destruction of alveolar structures (123), with IPF being the most common form. Its core pathogenesis involves the abnormal repair of alveolar epithelial cells following repeated injury (124), which releases pro-fibrotic signals, such as TGF-β (125), to activate pulmonary fibroblasts and induce their transformation into myofibroblasts. These cells resist apoptosis, leading to excessive extracellular matrix deposition (126) and destructive remodeling. Concurrently, the dysregulation of immune cells, such as M2 macrophages and ILC2 cells, exacerbates this process (127), ultimately leading to irreversible pulmonary scarring.

PF not only causes irreversible lung function impairment but also disrupts gut microbiota composition and associated metabolites through bidirectional gut-lung axis communication (123). Studies on early silicosis patients reveal that their primary pathological feature—progressive PF—is accompanied by significantly reduced operational taxonomic unit (OTU) numbers and Shannon diversity indices in gut microbiota compared to healthy individuals. Abnormal changes in gut bacteria, such as Proteobacteria, Verrucomicrobia, Firmicutes, and Actinobacteria, are primarily involved in biological processes such as cell membrane synthesis, amino acid transport and metabolism, post-translational modification, inorganic ion transport, and nucleotide transport and metabolism (128). At the genus level, gut microbiota dysbiosis in PF patients is characterized by reduced bacterial richness and diversity. Compared to healthy individuals, patients with chronic pulmonary fibrosis exhibit a markedly increased abundance of Staphylococcus, Streptococcus, and Veillonella species, while Bacteroides, Bifidobacterium adolescentis, and Propionibacterium species are significantly depleted (129). This characteristic dysbiosis drives the progression of PF through two primary pathways. Gut dysbiosis promotes the differentiation of pro-inflammatory Th17 cells while reducing the number of Tregs. These immune cells migrate through the bloodstream to the lungs, releasing pro-inflammatory factors such as IL-17 (130) to create a persistent inflammatory environment that activates fibroblasts and promotes fibrosis. Additionally, gut dysbiosis alters the spectrum of microbial metabolites, primarily characterized by reduced production of anti-inflammatory SCFAs (e.g., butyrate) and increased levels of potentially pro-inflammatory metabolites (e.g., TMAO). These metabolites act on the lungs via the bloodstream, further exacerbating immune imbalance and directly or indirectly promoting the development of fibrosis. Thus, the gut microbiota not only offers new insights into understanding the pathogenesis of PF but also provides potential targets for developing novel microbiome-based biomarkers and intervention strategies.

5 Therapeutic interventions

Restoring microbial balance through targeted interventions offers a highly promising new therapeutic approach for lung disorders driven by gut dysbiosis (131). Research into interventions such as probiotics, FMT, and CRISPR-Cas systems is crucial. Particular emphasis should be placed on analyzing immune and clinical responses post-intervention, applying personalized medicine, and creating effective therapies tailored to the pathogenic mechanisms present in specific patients or patient groups.

5.1 Probiotics

Probiotics refer to live microorganisms that exert beneficial effects on the host, primarily including Lactobacillus, Bifidobacterium, and certain yeasts. They promote gut microbiota balance through mechanisms such as nutrient competition, production of antimicrobial substances, and immune modulation (132, 133). In recent years, based on the gut-lung axis theory, probiotic intervention has emerged as a highly regarded new strategy in the prevention and treatment of pulmonary diseases.

In terms of immune modulation, probiotics enhance intestinal barrier function, mitigate excessive inflammatory responses, boost natural killer (NK) cell activity, promote Th1-type immune responses (134), and stimulate IgA-dependent mucosal immune responses in the small intestine and lungs. This reduces airway eosinophil infiltration and hyperresponsiveness, thereby decreasing the risk of respiratory infections and allergies.

Probiotics can modify the gut microbiota, emerging as a novel therapeutic target for the prevention and treatment of lung disease (135). Extensive research has demonstrated their potential. For instance, in mouse models, the depletion or absence of segmented filamentous bacteria (SFB) leads to impaired immune responses and worsened outcomes following respiratory infections (90, 136, 137), whereas supplementation with SFB enhances resistance to Staphylococcus aureus pneumonia and viral lung infections (138, 139). In a study involving asthma patients, all subjects received beclomethasone, with one group additionally receiving probiotics containing Lactobacillus. The probiotic group demonstrated increased asthma control test scores, reduced symptom counts, and improved peak expiratory flow rates. Similar findings from multiple studies indicate that probiotics [such as Lactobacillus and Bifidobacterium (140143)] demonstrate favorable therapeutic effects for pulmonary diseases like asthma and COPD (144, 145). For instance, oral administration of Bifidobacterium promotes the generation of Th1 and Tregs by regulating T cell polarization. On the one hand, Th1 cells upregulate Th1-type immunoregulatory factors, such as IFN-γ and IL-12, in the lungs to suppress Th2 cell function. On the other hand, Tregs directly inhibit Th2 and Th17 mediated inflammatory responses by secreting factors such as IL-10 (146), jointly inducing immune tolerance. This improves the characteristic immune imbalance in asthma and exerts therapeutic effects. Furthermore, oral administration of Lactobacillus GG (LGG) alleviates asthma by reducing the expression levels of alveolar lavage fluid and serum matrix metalloproteinase-9 (MMP-9), thereby inhibiting inflammatory cell infiltration in the lungs (147). In COPD models, the probiotic Pediococcus pentosaceus SMM914 modulates the gut microbiota, promotes the production of SCFAs and antioxidant metabolites, and synthesizes specific tryptophan metabolites to enhance antioxidant and anti-inflammatory activity. This reduces M1 macrophage polarization, alleviating pulmonary oxidative stress and inflammation (148). Oral probiotic mixtures can reverse gut microbiota dysbiosis induced by respiratory syncytial virus (RSV) infection and restore pulmonary microbial composition, exerting protective effects through the microbiota-alveolar macrophage axis (149).

However, clinical application of probiotics in pulmonary diseases remains challenging. Efficacy is inconsistent, with some studies showing no significant difference between probiotic and placebo groups in improving core pulmonary function metrics (e.g., FVC%, FEV1%), reducing disease exacerbations, or influencing gut health biomarkers (150). These inconsistent findings underscore that probiotics should not be viewed as standalone therapies replacing conventional medications. A more accurate characterization is that specific probiotics may function as biological response modifiers, exerting auxiliary regulatory effects on patients’ immune function, systemic inflammation levels, or infection risk via the gut-lung axis, rather than directly reversing pathology. Currently, most evidence stems from animal studies and limited-scale human trials. To achieve precise clinical application, large-scale, multicenter, randomized, double-blind controlled trials are still required to clarify their efficacy, safety, and optimal application strategies.

5.2 FMT

FMT involves transferring the gut microbiota from a healthy donor to a recipient. It represents the most direct method for reconstructing and restoring the gut microbiota, encompassing nearly all its members and functions (151). This procedure is commonly employed to treat certain intestinal and extraintestinal diseases (152). In animal studies, gastric lavage is commonly used to ensure the direct delivery of donor fecal microbiota into the recipient’s gastrointestinal tract, thereby facilitating microbial colonization and functional regulation (119, 153). This method is currently most widely applied in treating clostridioides difficile infection (CDI) (154), with substantial research and promising outcomes also emerging in IBD and irritable bowel syndrome (IBS). Its application in the treatment of pulmonary disease remains exploratory but shows promise. For instance, in asthma rat models, FMT improved airway function, significantly restored lung tissue pathology, reduced alveolar wall thickening, decreased inflammatory cell infiltration, and markedly lowered collagen fiber deposition (155). In antibiotic-treated rat models of pulmonary arterial hypertension, FMT alleviated hypoxia-induced abnormalities in cardiopulmonary hemodynamics (153). Similarly, in LPS-induced ARDS mouse models, the transplantation of fecal microbiota from surviving mice significantly reduced the levels of inflammatory mediators (TNF-α, IL-1β, and IL-6) in lung tissue and bronchoalveolar lavage fluid. However, the safety of applying FMT to critical illnesses like ARDS raises significant concerns. A rescue FMT study involving 18 ICU patients revealed multiple cases of Enterobacteriaceae or Enterococcus bloodstream infections occurring before or after FMT, suggesting ICU populations are at high risk for FMT-associated bacteremia (156). This stands in stark contrast to the anti-inflammatory benefits observed in animal studies. Therefore, the safety and efficacy of FMT for ARDS remain controversial. To ensure its safety and effectiveness, detailed and comprehensive research must be conducted on disease-specific aspects, including testing of blood and feces from FMT donors, selection of fecal transplant preparations, preparation methods, storage conditions, and quality control.

5.3 CRISPR-Cas systems

Traditional microbiome intervention strategies (such as probiotics and FMT) face fundamental limitations in regulating complex ecosystems due to their lack of precision, making it difficult to achieve targeted manipulation of specific bacterial species or functions. The CRISPR-Cas system, a revolutionary and highly efficient gene editing tool (157), enables the specific editing of microbial genes for precise regulation (158), offering a novel approach to addressing this challenge.

Targeted gene editing of the gut microbiota using the CRISPR system provides novel strategies for deepening understanding of gut-lung axis mechanisms and advancing its clinical application in microbiome therapies for specific diseases. Its application primarily relies on two strategies: first, an in vitro editing approach, where specific bacteria (e.g., E. coli) are isolated and cultured, then CRISPR systems are used to knockout virulence genes or insert therapeutic genes before reintroducing them into the gut for colonization; second, an in vivo editing strategy, which involves developing microbial vectors or synthetic delivery systems to precisely deliver CRISPR components to target bacteria within the gut, enabling in situ genome editing.

Significant progress has been made in this field. For instance, phage-mediated delivery of CRISPR-Cas9 has enabled targeted elimination of Clostridium difficile toxin genes or essential genes without disrupting the commensal microbiota (159). Editing genes in species such as Bacteroides holds promise for precisely regulating the production of metabolites like SCFAs, offering potential avenues for studying the mechanisms of the gut-lung axis and treating diseases like asthma and COPD (160). For intestinal diseases, an oral multistage delivery system based on CRISPR-Cas9 has been developed. Utilizing calcium alginate microspheres for protection and engineered bacterial outer membrane vesicles for targeted delivery, this system directs RNP to immune cells at sites of intestinal inflammation, enabling efficient editing of TNF-α and offering a novel therapeutic strategy for inflammatory bowel disease (161). Under competitive colonization conditions with non-fluorescent E. coli strains, phage-delivered CRISPR–Cas9 successfully mediated gene knockout by deleting a fluorescent marker gene in E. coli strains within the gut microbiome (162).

In summary, the CRISPR system demonstrates broad potential in regulating the gut microbiome. These studies not only expand the application scope of CRISPR technology within the microbiome but also provide novel solutions for personalized medicine, antimicrobial therapy, and interventions aimed at improving gut health. Future efforts will focus on developing more efficient and safe targeted delivery systems, as well as investigating microbiome therapies tailored to specific diseases.

6 Discussion

This review systematically elucidates the core role of the gut microbiota in pulmonary immune homeostasis and disease via the gut-lung axis, establishing the messenger functions of key metabolites such as SCFAs, tryptophan metabolites, and PAs. However, despite deepening mechanistic exploration, translating research findings in this field into mature clinical applications still faces several major challenges and unresolved questions.

The primary issue lies in the insufficient depth and systematic nature of mechanism studies. Current research predominantly focuses on individual metabolites or isolated immune pathways, such as the SCFAs-GPR41/43-Treg axis or the tryptophan-AhR axis. Yet under physiological conditions, these pathways do not operate in isolation but form a complex, interwoven network. For instance, SCFAs can influence the expression of enzymes involved in tryptophan metabolism through HDAC inhibition pathways, while polyamine synthesis is closely linked to arginine metabolism. The cross-talk between these metabolic networks and their synergistic or antagonistic effects within the gut-lung axis remains poorly understood.

Furthermore, species differences between animal models and human physiology present a fundamental bottleneck for translating basic research into clinical applications. Common mouse asthma models fail to replicate the heterogeneity of human disease and exhibit significant disparities in gut microbiota composition, immune receptor expression, and metabolite kinetics. Most current evidence regarding SCFAs mechanisms involving HDAC inhibition originates from mouse studies, necessitating validation of their physiological relevance in humans.

Beyond correlational observations, the directionality of causality remains a central controversy in this field. While multiple studies confirm close associations between pulmonary diseases and gut dysbiosis, whether these correlations represent causation or disease-driven secondary phenomena requires further investigation (163). Taking COPD and PF as examples, whether the accompanying dysbiosis is a primary driver of disease progression or a consequence of chronic hypoxia, systemic inflammation, or drug interventions requires clarification through prospective cohort studies and mechanism-driven intervention trials.

Clinically, translational challenges include inconsistent efficacy and safety concerns. The variable outcomes of probiotics and FMT in clinical trials underscore the complexity of microbiome interventions. Efficacy may be significantly influenced by host factors such as initial microbiota composition and genetic background. Concurrently, the potential risk of bacteremia associated with FMT, along with the targeting precision and long-term safety of emerging technologies like CRISPR-Cas, represent critical barriers requiring rigorous evaluation for clinical translation.

Finally, technical bottlenecks persist. Current microbiome research heavily relies on 16S rRNA sequencing, which offers limited species-level resolution and functional prediction capabilities. While metagenomics provides richer information, efficient in vivo real-time monitoring technologies for the true metabolic activity and functional state of microbial communities remain lacking.

7 Conclusion and outlook

In summary, the gut microbiota and its metabolites serve as key messengers in the gut-lung axis, playing pivotal roles in maintaining pulmonary immune homeostasis and preventing disease. This review elucidates how key metabolites—including SCFAs, tryptophan metabolites, and PAs—profoundly influence the progression of diseases such as asthma, ARDS, COPD, and PF by regulating immune and barrier functions. However, as discussed, this field still faces significant challenges in understanding mechanistic networks, species differences, causal relationships, clinical translation, and technical approaches.

Future efforts should vigorously promote interdisciplinary collaboration to systematically integrate methodologies and technologies from microbiology, immunology, bioinformatics, and clinical medicine. This will collectively advance gut-lung axis research from mechanism elucidation toward precision treatment. Technologically, non-invasive sampling and multi-omics integration strategies should be developed, such as combining fecal, salivary, and breath sample analysis with metagenomic sequencing, portable devices, and artificial intelligence algorithms to comprehensively decipher bidirectional gut-lung regulatory networks. Simultaneously, we must deepen our understanding of the molecular and cellular mechanisms underlying interactions between microbial metabolites and host immunity. Advanced technologies like single-cell sequencing and organoid models should be leveraged to identify functionally significant key microbes and metabolites, providing targets for personalized interventions. Ultimately, through interdisciplinary collaboration and data integration, we will establish novel diagnostic and therapeutic strategies characterized by clear mechanisms, precise targeting, and individualization, offering innovative solutions for the prevention and treatment of respiratory diseases.

Author contributions

JL: Conceptualization, Data curation, Investigation, Visualization, Writing – original draft, Writing – review & editing, Formal Analysis. WH: Conceptualization, Investigation, Writing – review & editing. ZS: Conceptualization, Writing – review & editing. SZ: Conceptualization, Writing – review & editing. CX: Project administration, Supervision, Writing – review & editing. ND: Funding acquisition, Project administration, Supervision, Writing – review & editing.

Funding

The author(s) declare that financial support was received for the research and/or publication of this article. This work was financially supported by the Heilongjiang Province Science and Technology Innovation Base Award Program (JD24A004), the National Natural Science Foundation of China (Grant No. 32502939 and 32030101), the China Agriculture Research System (CARS-35), the Science Fund for Distinguished Young Scholars of Heilongjiang Province (JQ2022C002) and the Support Project of Young Leading Talents of Northeast Agricultural University (NEAU2023QNLJ-017).

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. Pattaroni C, Watzenboeck ML, Schneidegger S, Kieser S, Wong NC, Bernasconi E, et al. Early-life formation of the microbial and immunological environment of the human airways. Cell Host Microbe. (2018) 24:857–865.e854. doi: 10.1016/j.chom.2018.10.019

PubMed Abstract | Crossref Full Text | Google Scholar

2. Johnson JS, Spakowicz DJ, Hong B-Y, Petersen LM, Demkowicz P, Chen L, et al. Evaluation of 16S rRNA gene sequencing for species and strain-level microbiome analysis. Nat Commun. (2019) 10:5029. doi: 10.1038/s41467-019-13036-1

PubMed Abstract | Crossref Full Text | Google Scholar

3. Toma I, Siegel MO, Keiser J, Yakovleva A, Kim A, Davenport L, et al. Single-molecule long-read 16S sequencing to characterize the lung microbiome from mechanically ventilated patients with suspected pneumonia. J Clin Microbiol. (2014) 52:3913–21. doi: 10.1128/jcm.01678-14

PubMed Abstract | Crossref Full Text | Google Scholar

4. Lloyd-Price J, Abu-Ali G, and Huttenhower C. The healthy human microbiome. Genome Med. (2016) 8:51. doi: 10.1186/s13073-016-0307-y

PubMed Abstract | Crossref Full Text | Google Scholar

5. Koh A, De Vadder F, Kovatcheva-Datchary P, and Bäckhed F. From dietary fiber to host physiology: short-chain fatty acids as key bacterial metabolites. Cell. (2016) 165:1332–45. doi: 10.1016/j.cell.2016.05.041

PubMed Abstract | Crossref Full Text | Google Scholar

6. Buffie CG and Pamer EG. Microbiota-mediated colonization resistance against intestinal pathogens. Nat Rev Immunol. (2013) 13:790–801. doi: 10.1038/nri3535

PubMed Abstract | Crossref Full Text | Google Scholar

7. Cait A, Hughes M, Antignano F, Cait J, Dimitriu P, Maas K, et al. Microbiome-driven allergic lung inflammation is ameliorated by short-chain fatty acids. Mucosal Immunol. (2018) 11:785–95. doi: 10.1038/mi.2017.75

PubMed Abstract | Crossref Full Text | Google Scholar

8. Chu H and Mazmanian SK. Innate immune recognition of the microbiota promotes host-microbial symbiosis. Nat Immunol. (2013) 14:668–75. doi: 10.1038/s41467-024-51209-9

PubMed Abstract | Crossref Full Text | Google Scholar

9. Noverr MC, Falkowski NR, McDonald RA, McKenzie AN, and Huffnagle GB. Development of allergic airway disease in mice following antibiotic therapy and fungal microbiota increase: role of host genetics, antigen, and interleukin-13. Infect Immun. (2005) 73:30–8. doi: 10.1128/iai.73.1.30-38.2005

PubMed Abstract | Crossref Full Text | Google Scholar

10. Russell SL, Gold MJ, Hartmann M, Willing BP, Thorson L, Wlodarska M, et al. Early life antibiotic-driven changes in microbiota enhance susceptibility to allergic asthma. EMBO Rep. (2012) 13:440–7. doi: 10.1038/embor.2012.32

PubMed Abstract | Crossref Full Text | Google Scholar

11. Russell SL, Gold MJ, Reynolds LA, Willing BP, Dimitriu P, Thorson L, et al. Perinatal antibiotic-induced shifts in gut microbiota have differential effects on inflammatory lung diseases. J Allergy Clin Immunol. (2015) 135:100–109.e105. doi: 10.1016/j.jaci.2014.06.027

PubMed Abstract | Crossref Full Text | Google Scholar

12. Arrieta M-C, Stiemsma LT, Dimitriu PA, Thorson L, Russell S, Yurist-Doutsch S, et al. Early infancy microbial and metabolic alterations affect risk of childhood asthma. Sci Transl Med. (2015) 7:307ra152. doi: 10.1126/scitranslmed.aab2271

PubMed Abstract | Crossref Full Text | Google Scholar

13. Rutten EP, Lenaerts K, Buurman WA, and Wouters EF. Disturbed intestinal integrity in patients with COPD: effects of activities of daily living. Chest. (2014) 145:245–52. doi: 10.1378/chest.13-0584

PubMed Abstract | Crossref Full Text | Google Scholar

14. Dang AT and Marsland BJ. Microbes, metabolites, and the gut–lung axis. Mucosal Immunol. (2019) 12:843–50. doi: 10.1038/mi.2017.75

PubMed Abstract | Crossref Full Text | Google Scholar

15. Kraft SC, Earle RH, Roesler M, and Esterly JR. Unexplained bronchopulmonary disease with inflammatory bowel disease. Arch Intern Med (Chic). (1976) 136:454–9. doi: 10.1001/archinte.136.4.454

PubMed Abstract | Crossref Full Text | Google Scholar

16. Manor O, Levy R, Pope CE, Hayden HS, Brittnacher MJ, Carr R, et al. Metagenomic evidence for taxonomic dysbiosis and functional imbalance in the gastrointestinal tracts of children with cystic fibrosis. Sci Rep. (2016) 6:22493. doi: 10.1038/srep22493

PubMed Abstract | Crossref Full Text | Google Scholar

17. Raftery AL, Tsantikos E, Harris NL, and Hibbs ML. Links between inflammatory bowel disease and chronic obstructive pulmonary disease. Front Immunol. (2020) 11:2144. doi: 10.3389/fimmu.2020.02144

PubMed Abstract | Crossref Full Text | Google Scholar

18. Ekbom A, Brandt L, Granath F, Löfdahl C-G, and Egesten A. Increased risk of both ulcerative colitis and Crohn’s disease in a population suffering from COPD. Lung. (2008) 186:167–72. doi: 10.1007/s00408-008-9080-z

PubMed Abstract | Crossref Full Text | Google Scholar

19. Fedorova T, Liu S, Chernekhovskaia N, Kanareĭtseva T, Sotnikova T, Zhidkova N, et al. The stomach and duodenum condition in patients with chronic obstructive lung diseases. Klin Med (Mosk). (2003) 81:31–3.

PubMed Abstract | Google Scholar

20. Beloborodova E, Akimova L, Burkovskaya V, Asanova A, Semenenko E, Beloborodova E, et al. Activity of systemic inflammatory reaction in patients with chronic obstructive pulmonary disease in regard to small intestinal absorption function. Ter Arkh. (2009) 81:19–22.

PubMed Abstract | Google Scholar

21. Black H, Mendoza M, and Murin S. Thoracic manifestations of inflammatory bowel disease. Chest. (2007) 131:524–32. doi: 10.1016/j.chest.2020.08.1632

PubMed Abstract | Crossref Full Text | Google Scholar

22. Songür N, Songür Y, Tüzün M, Dogan I, Tüzün D, Ensari A, et al. Pulmonary function tests and high-resolution CT in the detection of pulmonary involvement in inflammatory bowel disease. J Clin Gastroenterol. (2003) 37:292–8. doi: 10.1097/00004836-200310000-00006

PubMed Abstract | Crossref Full Text | Google Scholar

23. Ceyhan BB, Karakurt S, Cevik H, and Sungur M. Bronchial hyperreactivity and allergic status in inflammatory bowel disease. Respiration. (2003) 70:60–6. doi: 10.1159/000068407

PubMed Abstract | Crossref Full Text | Google Scholar

24. Douglas J, McDonald C, Leslie M, Gillon J, Crompton G, and McHardy G. Respiratory impairment in inflammatory bowel disease: does it vary with disease activity? Respir Med. (1989) 83:389–94. doi: 10.1016/s0954-6111(89)80070-8

PubMed Abstract | Crossref Full Text | Google Scholar

25. Molina-Molina M, Shull JG, Vicens-Zygmunt V, Rivera-Ortega P, Antoniou K, Bonella F, et al. Gastrointestinal pirfenidone adverse events in idiopathic pulmonary fibrosis depending on diet: the MADIET clinical trial. EMBO Rep. (2023) 62:2300262. doi: 10.1183/13993003.00262-2023

PubMed Abstract | Crossref Full Text | Google Scholar

26. Dickson RP, Singer BH, Newstead MW, Falkowski NR, Erb-Downward JR, Standiford TJ, et al. Enrichment of the lung microbiome with gut bacteria in sepsis and the acute respiratory distress syndrome. Nat Microbiol. (2016) 1:1–9. doi: 10.1038/nmicrobiol.2016.113

PubMed Abstract | Crossref Full Text | Google Scholar

27. Erjefält JS. Spatial eosinophil phenotypes as immunopathogenic determinants in inflammatory diseases. Cells. (2025) 14:847. doi: 10.3390/cells14110847

PubMed Abstract | Crossref Full Text | Google Scholar

28. Jin J, Sunusi S, and Lu H. Group 2 innate lymphoid cells (ILC2s) are important in typical type 2 immune-mediated diseases and an essential therapeutic target. J Int Med Res. (2022) 50:3000605211053156. doi: 10.1177/03000605211053156

PubMed Abstract | Crossref Full Text | Google Scholar

29. Sagar S, Morgan ME, Chen S, Vos AP, Garssen J, van Bergenhenegouwen J, et al. Bifidobacterium breve and Lactobacillus rhamnosus treatment is as effective as budesonide at reducing inflammation in a murine model for chronic asthma. Respir Res. (2014) 15:46. doi: 10.1186/1465-9921-15-46

PubMed Abstract | Crossref Full Text | Google Scholar

30. Kumar RK and Foster PS. Are mouse models of asthma appropriate for investigating the pathogenesis of airway hyper-responsiveness? Front Physiol. (2012) 3:312. doi: 10.3389/fphys.2012.00312

PubMed Abstract | Crossref Full Text | Google Scholar

31. Wang J, Chen X, Li J, and Ishfaq M. Gut microbiota dysbiosis aggravates Mycoplasma gallisepticum colonization in the chicken lung. Front Vet Sci. (2021) 8:788811. doi: 10.3389/fvets.2021.788811

PubMed Abstract | Crossref Full Text | Google Scholar

32. Sencio V, MaChado MG, and Trottein F. The lung–gut axis during viral respiratory infections: the impact of gut dysbiosis on secondary disease outcomes. Mucosal Immunol. (2021) 14:296–304. doi: 10.1038/s41385-020-00361-8

PubMed Abstract | Crossref Full Text | Google Scholar

33. Eladham MW, Selvakumar B, Sharif-Askari NS, Sharif-Askari FS, Ibrahim SM, and Halwani R. Unraveling the gut-Lung axis: Exploring complex mechanisms in disease interplay. Heliyon. (2024) 10:e24032. doi: 10.1016/j.heliyon.2024.e24032

PubMed Abstract | Crossref Full Text | Google Scholar

34. Budden KF, Gellatly SL, Wood DL, Cooper MA, Morrison M, Hugenholtz P, et al. Emerging pathogenic links between microbiota and the gut–lung axis. Nat Rev Immunol. (2017) 15:55–63. doi: 10.1038/nrmicro.2016.142

PubMed Abstract | Crossref Full Text | Google Scholar

35. Chen P. Gut microbiota and pathogenesis of organ injury. Singapore: Springer. (2020). doi: 10.1007/978-981-15-2385-4

Crossref Full Text | Google Scholar

36. Dora D, Szőcs E, Soós Á, Halasy V, Somodi C, Mihucz A, et al. From bench to bedside: an interdisciplinary journey through the gut-lung axis with insights into lung cancer and immunotherapy. Front Immunol. (2024) 15:1434804. doi: 10.3389/fimmu.2024.1434804

PubMed Abstract | Crossref Full Text | Google Scholar

37. Zhang D, Li S, Wang N, Tan H-Y, Zhang Z, and Feng Y. The cross-talk between gut microbiota and lungs in common lung diseases. Front Microbiol. (2020) 11:301. doi: 10.3389/fmicb.2020.00301

PubMed Abstract | Crossref Full Text | Google Scholar

38. Enaud R, Prevel R, Ciarlo E, Beaufils F, Wieërs G, Guery B, et al. The gut-lung axis in health and respiratory diseases: a place for inter-organ and inter-kingdom crosstalks. Front Cell Infect Microbiol. (2020) 10:9. doi: 10.3390/foods13091336

PubMed Abstract | Crossref Full Text | Google Scholar

39. Tulic MK, Piche T, and Verhasselt V. Lung–gut cross-talk: evidence, mechanisms and implications for the mucosal inflammatory diseases. Clin Exp Allergy. (2016) 46:519–28. doi: 10.1111/cea.12723

PubMed Abstract | Crossref Full Text | Google Scholar

40. Xie B, Wang M, Zhang X, Zhang Y, Qi H, Liu H, et al. Gut-derived memory γδ T17 cells exacerbate sepsis-induced acute lung injury in mice. Nat Commun. (2024) 15:6737. doi: 10.1038/s41467-024-51209-9

PubMed Abstract | Crossref Full Text | Google Scholar

41. Anand S and Mande SS. Diet, microbiota and gut-lung connection. Front Microbiol. (2018) 9:2147. doi: 10.3389/fmicb.2018.02147

PubMed Abstract | Crossref Full Text | Google Scholar

42. Khosravi A, Yáñez A, Price JG, Chow A, Merad M, Goodridge HS, et al. Gut microbiota promote hematopoiesis to control bacterial infection. Cell Host Microbe. (2014) 15:374–81. doi: 10.1016/j.chom.2014.02.006

PubMed Abstract | Crossref Full Text | Google Scholar

43. Balmer ML, Schürch CM, Saito Y, Geuking MB, Li H, Cuenca M, et al. Microbiota-derived compounds drive steady-state granulopoiesis via MyD88/TICAM signaling. J Immunol. (2014) 193:5273–83. doi: 10.4049/jimmunol.1400762

PubMed Abstract | Crossref Full Text | Google Scholar

44. Thaiss CA, Zmora N, Levy M, and Elinav E. The microbiome and innate immunity. Nature. (2016) 535:65–74. doi: 10.1038/nature18847

PubMed Abstract | Crossref Full Text | Google Scholar

45. Pickard JM, Zeng MY, Caruso R, and Núñez G. Gut microbiota: Role in pathogen colonization, immune responses, and inflammatory disease. Immunol Rev. (2017) 279:70–89. doi: 10.1111/imr.12567

PubMed Abstract | Crossref Full Text | Google Scholar

46. Olszak T, An D, Zeissig S, Vera MP, Richter J, Franke A, et al. Microbial exposure during early life has persistent effects on natural killer T cell function. Science. (2012) 336:489–93. doi: 10.1126/science.1219328

PubMed Abstract | Crossref Full Text | Google Scholar

47. Allard B, Panariti A, and Martin JG. Alveolar macrophages in the resolution of inflammation, tissue repair, and tolerance to infection. Front Immunol. (2018) 9:1777. doi: 10.3389/fimmu.2018.01777

PubMed Abstract | Crossref Full Text | Google Scholar

48. Ecklu-Mensah G, Gilbert J, and Devkota S. Dietary selection pressures and their impact on the gut microbiome. Cell Mol Gastroenterol Hepatol. (2022) 13:7–18. doi: 10.1016/j.jcmgh.2021.07.009

PubMed Abstract | Crossref Full Text | Google Scholar

49. Boulet LP. Asthma and obesity. Clin Exp Allergy. (2013) 43:8–21. doi: 10.1111/cea.12253

PubMed Abstract | Crossref Full Text | Google Scholar

50. Jensen ME, Wood LG, and Gibson PG. Obesity and childhood asthma–mechanisms and manifestations. Curr Opin Allergy Clin Immunol. (2012) 12:186–92. doi: 10.1097/aci.0b013e3283508df5

PubMed Abstract | Crossref Full Text | Google Scholar

51. Stecher B. The roles of inflammation, nutrient availability and the commensal microbiota in enteric pathogen infection. Microbiol Spectr. (2015) 3:297–320. doi: 10.1128/microbiolspec.mbp-0008-2014

PubMed Abstract | Crossref Full Text | Google Scholar

52. Trompette A, Gollwitzer ES, Yadava K, Sichelstiel AK, Sprenger N, Ngom-Bru C, et al. Gut microbiota metabolism of dietary fiber influences allergic airway disease and hematopoiesis. Nat Med. (2014) 20:159–66. doi: 10.1038/nm.3444

PubMed Abstract | Crossref Full Text | Google Scholar

53. Thorburn AN, McKenzie CI, Shen S, Stanley D, Macia L, Mason LJ, et al. Evidence that asthma is a developmental origin disease influenced by maternal diet and bacterial metabolites. Nat Commun. (2015) 6:7320. doi: 10.1038/ncomms8320

PubMed Abstract | Crossref Full Text | Google Scholar

54. Wang J, Zhu N, Su X, Gao Y, and Yang R. Gut-microbiota-derived metabolites maintain gut and systemic immune homeostasis. Cells. (2023) 12:793. doi: 10.3390/cells14110847

PubMed Abstract | Crossref Full Text | Google Scholar

55. Samuelson DR, Welsh DA, and Shellito JE. Regulation of lung immunity and host defense by the intestinal microbiota. Front Microbiol. (2015) 6:1085. doi: 10.5389/fmicb.2015.01085

Crossref Full Text | Google Scholar

56. Singh N, Gurav A, Sivaprakasam S, Brady E, Padia R, Shi H, et al. Activation of Gpr109a, receptor for niacin and the commensal metabolite butyrate, suppresses colonic inflammation and carcinogenesis. Immunity. (2014) 40:128–39. doi: 10.1016/j.immuni.2015.04.005

PubMed Abstract | Crossref Full Text | Google Scholar

57. Blanco-Pérez F, Steigerwald H, Schülke S, Vieths S, Toda M, and Scheurer S. The dietary fiber pectin: health benefits and potential for the treatment of allergies by modulation of gut microbiota. Curr Allergy Asthma Rep. (2021) 21:43. doi: 10.1007/s11882-021-01020-z

PubMed Abstract | Crossref Full Text | Google Scholar

58. Krishnan S, Alden N, and Lee K. Pathways and functions of gut microbiota metabolism impacting host physiology. Curr Opin Biotechnol. (2015) 36:137–45. doi: 10.1016/j.copbio.2015.08.015

PubMed Abstract | Crossref Full Text | Google Scholar

59. Akay HK, Tokman HB, Hatipoglu N, Hatipoglu H, Siraneci R, Demirci M, et al. The relationship between bifidobacteria and allergic asthma and/or allergic dermatitis: A prospective study of 0–3 years-old children in Turkey. Anaerobe. (2014) 28:98–103. doi: 10.1016/j.anaerobe.2014.05.006

PubMed Abstract | Crossref Full Text | Google Scholar

60. Fukuda S, Toh H, Hase K, Oshima K, Nakanishi Y, Yoshimura K, et al. Bifidobacteria can protect from enteropathogenic infection through production of acetate. Nature. (2011) 469:543–7. doi: 10.1038/nature09646

PubMed Abstract | Crossref Full Text | Google Scholar

61. Sun M, Wu W, Liu Z, and Cong Y. Microbiota metabolite short chain fatty acids, GPCR, and inflammatory bowel diseases. J Gastroenterol. (2017) 52:1–8. doi: 10.3168/jds.2018-15683

PubMed Abstract | Crossref Full Text | Google Scholar

62. Husted AS, Trauelsen M, Rudenko O, Hjorth SA, and Schwartz TW. GPCR-mediated signaling of metabolites. Cell Metab. (2017) 25:777–96. doi: 10.1016/j.cmet.2017.03.008

PubMed Abstract | Crossref Full Text | Google Scholar

63. Maslowski KM, Vieira AT, Ng A, Kranich J, Sierro F, Yu D, et al. Regulation of inflammatory responses by gut microbiota and chemoattractant receptor GPR43. Nature. (2009) 461:1282–6. doi: 10.1038/nature08530

PubMed Abstract | Crossref Full Text | Google Scholar

64. Antunes KH, Fachi JL, de Paula R, da Silva EF, Pral LP, Dos Santos AÁ, et al. Microbiota-derived acetate protects against respiratory syncytial virus infection through a GPR43-type 1 interferon response. Nat Commun. (2019) 10:3273. doi: 10.1038/s41467-019-11152-6

PubMed Abstract | Crossref Full Text | Google Scholar

65. Zhu W, Wu Y, Liu H, Jiang C, and Huo L. Gut–lung axis: microbial crosstalk in pediatric respiratory tract infections. Front Immunol. (2021) 12:741233. doi: 10.3389/fimmu.2021.741233

PubMed Abstract | Crossref Full Text | Google Scholar

66. Park J, Kim M, Kang SG, Jannasch AH, Cooper B, Patterson J, et al. Short-chain fatty acids induce both effector and regulatory T cells by suppression of histone deacetylases and regulation of the mTOR–S6K pathway. Mucosal Immunol. (2015) 8:80–93. doi: 10.1038/mi.2014.44

PubMed Abstract | Crossref Full Text | Google Scholar

67. Yan Q, Jia S, Li D, and Yang J. The role and mechanism of action of microbiota-derived short-chain fatty acids in neutrophils: From the activation to becoming potential biomarkers. BioMed Pharmacother. (2023) 169:115821. doi: 10.1016/j.biopha.2023.115821

PubMed Abstract | Crossref Full Text | Google Scholar

68. Sun M, Wu W, Chen L, Yang W, Huang X, Ma C, et al. Microbiota-derived short-chain fatty acids promote Th1 cell IL-10 production to maintain intestinal homeostasis. Nat Commun. (2018) 9:3555. doi: 10.1038/s41467-018-05901-2

PubMed Abstract | Crossref Full Text | Google Scholar

69. Rosser EC, Piper CJ, Matei DE, Blair PA, Rendeiro AF, Orford M, et al. Microbiota-derived metabolites suppress arthritis by amplifying aryl-hydrocarbon receptor activation in regulatory B cells. Cell Metab. (2020) 31:837–851.e810. doi: 10.1016/j.cmet.2020.03.003

PubMed Abstract | Crossref Full Text | Google Scholar

70. Piper CJ, Rosser EC, Oleinika K, Nistala K, Krausgruber T, Rendeiro AF, et al. Aryl hydrocarbon receptor contributes to the transcriptional program of IL-10-producing regulatory B cells. Cell Rep Med. (2019) 29:1878–1892.e1877. doi: 10.1016/j.celrep.2019.10.018

PubMed Abstract | Crossref Full Text | Google Scholar

71. Rosser EC and Mauri C. Regulatory B cells: origin, phenotype, and function. Immunity. (2015) 42:607–12. doi: 10.1016/j.immuni.2015.04.005

PubMed Abstract | Crossref Full Text | Google Scholar

72. Zou F, Qiu Y, Huang Y, Zou H, Cheng X, Niu Q, et al. Effects of short-chain fatty acids in inhibiting HDAC and activating p38 MAPK are critical for promoting B10 cell generation and function. Cell Death Dis. (2021) 12:582. doi: 10.1038/s41419-021-03880-9

PubMed Abstract | Crossref Full Text | Google Scholar

73. van der Sluijs KF, van de Pol MA, Kulik W, Dijkhuis A, Smids BS, van Eijk HW, et al. Systemic tryptophan and kynurenine catabolite levels relate to severity of rhinovirus-induced asthma exacerbation: a prospective study with a parallel-group design. Thorax. (2013) 68:1122–30. doi: 10.1136/thoraxjnl-2013-203728

PubMed Abstract | Crossref Full Text | Google Scholar

74. Wang H, He Y, Dang D, Zhao Y, Zhao J, and Lu W. Gut microbiota-derived tryptophan metabolites alleviate allergic asthma inflammation in ovalbumin-induced mice. Foods. (2024) 13:1336. doi: 10.3390/foods13091336

PubMed Abstract | Crossref Full Text | Google Scholar

75. Yan X, Yan J, Xiang Q, Wang F, Dai H, Huang K, et al. Fructooligosaccharides protect against OVA-induced food allergy in mice by regulating the Th17/Treg cell balance using tryptophan metabolites. Food Funct. (2021) 12:3191–205. doi: 10.1039/d0fo03371e

PubMed Abstract | Crossref Full Text | Google Scholar

76. Xue C, Li G, Zheng Q, Gu X, Shi Q, Su Y, et al. Tryptophan metabolism in health and disease. Cell Metab. (2023) 35:1304–26. doi: 10.1016/j.cmet.2020.03.003

PubMed Abstract | Crossref Full Text | Google Scholar

77. Zhang J, Zhu S, Ma N, Johnston LJ, Wu C, and Ma X. Metabolites of microbiota response to tryptophan and intestinal mucosal immunity: A therapeutic target to control intestinal inflammation. Med Res Rev. (2021) 41:1061–88. doi: 10.1002/med.21752

PubMed Abstract | Crossref Full Text | Google Scholar

78. Shimada Y, Kinoshita M, Harada K, Mizutani M, Masahata K, Kayama H, et al. Commensal bacteria-dependent indole production enhances epithelial barrier function in the colon. PloS One. (2013) 8:e80604. doi: 10.1371/journal.pone.0080604

PubMed Abstract | Crossref Full Text | Google Scholar

79. Venkatesh M, Mukherjee S, Wang H, Li H, Sun K, Benechet AP, et al. Symbiotic bacterial metabolites regulate gastrointestinal barrier function via the xenobiotic sensor PXR and Toll-like receptor 4. Immunity. (2014) 41:296–310. doi: 10.1016/j.immuni.2014.06.014

PubMed Abstract | Crossref Full Text | Google Scholar

80. Yiu JH, Dorweiler B, and Woo CW. Interaction between gut microbiota and toll-like receptor: from immunity to metabolism. J Mol Med (Berl). (2017) 95:13–20. doi: 10.1007/s00109-016-1474-4

PubMed Abstract | Crossref Full Text | Google Scholar

81. de Araújo EF, Feriotti C, Galdino NADL, Preite NW, Calich VLG, and Loures FV. The IDO–AhR axis controls Th17/Treg immunity in a pulmonary model of fungal infection. Front Immunol. (2017) 8:880. doi: 10.3389/fimmu.2017.00880

PubMed Abstract | Crossref Full Text | Google Scholar

82. Cheng F, Dou J, Zhang Y, Wang X, Wei H, Zhang Z, et al. Urolithin A inhibits epithelial–mesenchymal transition in lung cancer cells via P53-Mdm2-snail pathway. Onco Targets Ther. (2021), 3199–208. doi: 10.2147/ott.s305595

PubMed Abstract | Crossref Full Text | Google Scholar

83. Aoki R, Aoki-Yoshida A, Suzuki C, and Takayama Y. Indole-3-pyruvic acid, an aryl hydrocarbon receptor activator, suppresses experimental colitis in mice. J Immunol. (2018) 201:3683–93. doi: 10.4049/jimmunol.1701734

PubMed Abstract | Crossref Full Text | Google Scholar

84. Renga G, D’Onofrio F, Pariano M, Galarini R, Barola C, Stincardini C, et al. Bridging of host-microbiota tryptophan partitioning by the serotonin pathway in fungal pneumonia. Nat Commun. (2023) 14:5753. doi: 10.1038/s41467-023-41536-8

PubMed Abstract | Crossref Full Text | Google Scholar

85. Sagar NA, Tarafdar S, Agarwal S, Tarafdar A, and Sharma S. Polyamines: functions, metabolism, and role in human disease management. Med Sci. (2021) 9:44. doi: 10.3390/medsci9020044

PubMed Abstract | Crossref Full Text | Google Scholar

86. Kim YJ, Lee J-Y, Lee JJ, Jeon SM, Silwal P, Kim IS, et al. Arginine-mediated gut microbiome remodeling promotes host pulmonary immune defense against nontuberculous mycobacterial infection. Gut Microbes. (2022) 14:2073132. doi: 10.1080/19490976.2020.1854640

PubMed Abstract | Crossref Full Text | Google Scholar

87. Li X, Shang S, Wu M, Song Q, and Chen D. Gut microbial metabolites in lung cancer development and immunotherapy: Novel insights into gut-lung axis. Cancer Lett. (2024) 598:217096. doi: 10.1016/j.canlet.2024.217096

PubMed Abstract | Crossref Full Text | Google Scholar

88. Vernocchi P, Del Chierico F, Russo A, Majo F, Rossitto M, Valerio M, et al. Gut microbiota signatures in cystic fibrosis: Loss of host CFTR function drives the microbiota enterophenotype. PloS One. (2018) 13:e0208171. doi: 10.1371/journal.pone.0208171

PubMed Abstract | Crossref Full Text | Google Scholar

89. Ostaff MJ, Stange EF, and Wehkamp J. A ntimicrobial peptides and gut microbiota in homeostasis and pathology. EMBO Mol Med. (2013) 5:1465–83. doi: 10.1002/emmm.201201773

PubMed Abstract | Crossref Full Text | Google Scholar

90. Schuijt TJ, Lankelma JM, Scicluna BP, de Sousa e Melo F, Roelofs JJ, de Boer JD, et al. The gut microbiota plays a protective role in the host defence against pneumococcal pneumonia. Gut. (2016) 65:575–83. doi: 10.1136/gutjnl-2015-309728

PubMed Abstract | Crossref Full Text | Google Scholar

91. Abt MC, Osborne LC, Monticelli LA, Doering TA, Alenghat T, Sonnenberg GF, et al. Commensal bacteria calibrate the activation threshold of innate antiviral immunity. Immunity. (2012) 37:158–70. doi: 10.1016/j.immuni.2012.04.011

PubMed Abstract | Crossref Full Text | Google Scholar

92. Sun M-F and Shen Y-Q. Dysbiosis of gut microbiota and microbial metabolites in Parkinson’s Disease. Ageing Res Rev. (2018) 45:53–61. doi: 10.1016/j.arr.2018.04.004

PubMed Abstract | Crossref Full Text | Google Scholar

93. Wang L, Cai Y, Garssen J, Henricks PA, Folkerts G, and Braber S. The bidirectional gut–lung axis in chronic obstructive pulmonary disease. Am J Respir Crit Care Med. (2023) 207:1145–60. doi: 10.1164/rccm.202206-1066tr

PubMed Abstract | Crossref Full Text | Google Scholar

94. Luo Q, Zhou P, Chang S, Huang Z, and Zhu Y. The gut-lung axis: Mendelian randomization identifies a causal association between inflammatory bowel disease and interstitial lung disease. Heart Lung. (2023) 61:120–6. doi: 10.1016/j.hrtlng.2023.05.016

PubMed Abstract | Crossref Full Text | Google Scholar

95. Biedermann L, Brülisauer K, Zeitz J, Frei P, Scharl M, Vavricka SR, et al. Smoking cessation alters intestinal microbiota: insights from quantitative investigations on human fecal samples using FISH. Inflammation Bowel Dis. (2014) 20:1496–501. doi: 10.1016/s0016-5085(14)63047-x

PubMed Abstract | Crossref Full Text | Google Scholar

96. Gu S, Chen Y, Wu Z, Chen Y, Gao H, Lv L, et al. Alterations of the gut microbiota in patients with coronavirus disease 2019 or H1N1 influenza. Clin Infect Dis. (2020) 71:2669–78. doi: 10.1093/cid/ciaa709

PubMed Abstract | Crossref Full Text | Google Scholar

97. Abrahamsson TR, Jakobsson HE, Andersson AF, Björkstén B, Engstrand L, and Jenmalm MC. Low gut microbiota diversity in early infancy precedes asthma at school age. Clin Exp Allergy. (2014) 44:842–50. doi: 10.1111/cea.12253

PubMed Abstract | Crossref Full Text | Google Scholar

98. Bulanda E and Wypych TP. Bypassing the gut–lung axis via microbial metabolites: implications for chronic respiratory diseases. Front Microbiol. (2022) 13:857418. doi: 10.3389/fmicb.2022.857418

PubMed Abstract | Crossref Full Text | Google Scholar

99. Fu G, Zhao K, Chen H, Wang Y, Nie L, Wei H, et al. Effect of 3 lactobacilli on immunoregulation and intestinal microbiota in a β-lactoglobulin–induced allergic mouse model. J Dairy Sci. (2019) 102:1943–58. doi: 10.3168/jds.2018-15683

PubMed Abstract | Crossref Full Text | Google Scholar

100. Yao Y, Martin C, Yin C, Guo C, Dong Z, Zhou L, et al. Micro RNAs are required for Langerhans cell, skin-and lung-resident macrophage ontogeny. J Allergy Clin Immunol. (2018) 142:976–978.e972. doi: 10.1016/j.jaci.2018.04.024

PubMed Abstract | Crossref Full Text | Google Scholar

101. Fujimura KE, Sitarik AR, Havstad S, Lin DL, Levan S, Fadrosh D, et al. Neonatal gut microbiota associates with childhood multisensitized atopy and T cell differentiation. Nat Med. (2016) 22:1187–91. doi: 10.1038/nm.4176

PubMed Abstract | Crossref Full Text | Google Scholar

102. Roduit C, Frei R, Ferstl R, Loeliger S, Westermann P, Rhyner C, et al. High levels of butyrate and propionate in early life are associated with protection against atopy. Allergy. (2019) 74:799–809. doi: 10.1111/all.13660

PubMed Abstract | Crossref Full Text | Google Scholar

103. Arpaia N, Campbell C, Fan X, Dikiy S, van der Veeken J, Deroos P, et al. Metabolites produced by commensal bacteria promote peripheral regulatory T-cell generation. Nature. (2013) 504:451–5. doi: 10.1038/nature12726

PubMed Abstract | Crossref Full Text | Google Scholar

104. Pugin B, Barcik W, Westermann P, Heider A, Wawrzyniak M, Hellings P, et al. A wide diversity of bacteria from the human gut produces and degrades biogenic amines. Microb Ecol Health Dis. (2017) 28:1353881. doi: 10.1080/16512235.2017.1353881

PubMed Abstract | Crossref Full Text | Google Scholar

105. Fernando SM, Ferreyro BL, Urner M, Munshi L, and Fan E. Diagnosis and management of acute respiratory distress syndrome. Cmaj. (2021) 193:E761–8. doi: 10.1503/cmaj.202661

PubMed Abstract | Crossref Full Text | Google Scholar

106. Meduri GU, Annane D, Chrousos GP, Marik PE, and Sinclair SE. Activation and regulation of systemic inflammation in ARDS: rationale for prolonged glucocorticoid therapy. Chest. (2009) 136:1631–43. doi: 10.1378/chest.08-2408

PubMed Abstract | Crossref Full Text | Google Scholar

107. Yoseph BP, Klingensmith NJ, Liang Z, Breed ER, Burd EM, Mittal R, et al. Mechanisms of intestinal barrier dysfunction in sepsis. Shock. (2016) 46:52–9. doi: 10.1097/shk.0000000000000565

PubMed Abstract | Crossref Full Text | Google Scholar

108. Li Q, Zhang Q, Wang C, Liu X, Li N, and Li J. Disruption of tight junctions during polymicrobial sepsis. vivo. J Pathol. (2009) 218:210–21. doi: 10.1002/path.2525

PubMed Abstract | Crossref Full Text | Google Scholar

109. Günzel D. Claudins: vital partners in transcellular and paracellular transport coupling. Pflugers Arch. (2017) 469:35–44. doi: 10.1007/s00424-016-1909-3

PubMed Abstract | Crossref Full Text | Google Scholar

110. Ziaka M, Makris D, Fotakopoulos G, Tsilioni I, Befani C, Liakos P, et al. High-tidal-volume mechanical ventilation and lung inflammation in intensive care patients with normal lungs. Am J Clin Nutr. (2020) 29:15–21. doi: 10.4037/ajcc2020161

PubMed Abstract | Crossref Full Text | Google Scholar

111. Adeloye D, Agarwal D, Barnes PJ, Bonay M, Van Boven JF, Bryant J, et al. Research priorities to address the global burden of chronic obstructive pulmonary disease (COPD) in the next decade. J Glob Health. (2021) 11:15003. doi: 10.7189/jogh.11.15003

PubMed Abstract | Crossref Full Text | Google Scholar

112. Soriano JB, Kendrick PJ, Paulson KR, Gupta V, Abrams EM, Adedoyin RA, et al. Prevalence and attributable health burden of chronic respiratory diseases, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet Respir Med. (2020) 8:585–96. doi: 10.1016/s2213-2600(20)30105-3

PubMed Abstract | Crossref Full Text | Google Scholar

113. Berkowitz L, Pardo-Roa C, Salazar GA, Salazar-Echegarai F, Miranda JP, Ramírez G, et al. Mucosal exposure to cigarette components induces intestinal inflammation and alters antimicrobial response in mice. Front Immunol. (2019) 10:2289. doi: 10.3389/fimmu.2019.02289

PubMed Abstract | Crossref Full Text | Google Scholar

114. Song Z, Meng Y, Fricker M, Xa L, Tian H, Tan Y, et al. The role of gut-lung axis in COPD: Pathogenesis, immune response, and prospective treatment. Heliyon. (2024) 10:e30612. doi: 10.1016/j.heliyon.2024.e30612

PubMed Abstract | Crossref Full Text | Google Scholar

115. Mutepe ND, Cockeran R, Steel HC, Theron AJ, Mitchell TJ, Feldman C, et al. Effects of cigarette smoke condensate on pneumococcal biofilm formation and pneumolysin. EMBO Rep. (2013) 41:392–5. doi: 10.1183/09031936.00213211

PubMed Abstract | Crossref Full Text | Google Scholar

116. Chunxi L, Haiyue L, Yanxia L, Jianbing P, and Jin S. The gut microbiota and respiratory diseases: new evidence. J Immunol Res. (2020) 2020:2340670. doi: 10.1155/2020/2340670

PubMed Abstract | Crossref Full Text | Google Scholar

117. Chotirmall SH, Gellatly SL, Budden KF, Mac Aogáin M, Shukla SD, Wood DL, et al. Microbiomes in respiratory health and disease: an Asia-Pacific perspective. Respirology. (2017) 22:240–50. doi: 10.1111/resp.12971

PubMed Abstract | Crossref Full Text | Google Scholar

118. Silver JS, Kearley J, Copenhaver AM, Sanden C, Mori M, Yu L, et al. Inflammatory triggers associated with exacerbations of COPD orchestrate plasticity of group 2 innate lymphoid cells in the lungs. Nat Immunol. (2016) 17:626–35. doi: 10.1038/ni.3443

PubMed Abstract | Crossref Full Text | Google Scholar

119. Li N, Dai Z, Wang Z, Deng Z, Zhang J, Pu J, et al. Gut microbiota dysbiosis contributes to the development of chronic obstructive pulmonary disease. Respir Res. (2021) 22:274. doi: 10.1186/s12931-021-01872-z

PubMed Abstract | Crossref Full Text | Google Scholar

120. Zhang Y, Zhan L, Jiang X, and Tang X. RETRACTED: Comprehensive review for non-coding RNAs: From mechanisms to therapeutic applications. Biochem Pharmacol. (2024) 224:116218. doi: 10.1016/j.bcp.2024.116218

PubMed Abstract | Crossref Full Text | Google Scholar

121. Valentin S, Renel B, Manneville F, Caron B, Choukour M, Guillaumot A, et al. Prevalence of and factors associated with respiratory symptoms among patients with inflammatory bowel disease: a prospective study. Inflammation Bowel Dis. (2023) 29:207–16. doi: 10.1093/ibd/izac062

PubMed Abstract | Crossref Full Text | Google Scholar

122. Fricker M, Goggins BJ, Mateer S, Jones B, Kim RY, Gellatly SL, et al. Chronic cigarette smoke exposure induces systemic hypoxia that drives intestinal dysfunction. JCI Insight. (2018) 3:e94040. doi: 10.1172/jci.insight.94040

PubMed Abstract | Crossref Full Text | Google Scholar

123. Li J, Wu W, Kong X, Yang X, Li K, Jiang Z, et al. Roles of gut microbiome-associated metabolites in pulmonary fibrosis by integrated analysis. NPJ Biofilms Microbiomes. (2024) 10:154. doi: 10.1038/s41522-024-00631-4

PubMed Abstract | Crossref Full Text | Google Scholar

124. Richeldi L, Collard HR, and Jones MG. Idiopathic pulmonary fibrosis. Lancet. (2017) 389:1941–52. doi: 10.1038/nrdp.2017.74

PubMed Abstract | Crossref Full Text | Google Scholar

125. Kendall RT and Feghali-Bostwick CA. Fibroblasts in fibrosis: novel roles and mediators. Front Pharmacol. (2014) 5:123. doi: 10.3389/fphar.2014.00123

PubMed Abstract | Crossref Full Text | Google Scholar

126. Wynn TA and Ramalingam TR. Mechanisms of fibrosis: therapeutic translation for fibrotic disease. Nat Med. (2012) 18:1028–40. doi: 10.1038/nm.2807

PubMed Abstract | Crossref Full Text | Google Scholar

127. Kreuter M, Lee JS, Tzouvelekis A, Oldham JM, Molyneaux PL, Weycker D, et al. Monocyte count as a prognostic biomarker in patients with idiopathic pulmonary fibrosis. Am J Respir Crit Care Med. (2021) 204:74–81. doi: 10.1164/rccm.202003-0669oc

PubMed Abstract | Crossref Full Text | Google Scholar

128. Zhou Y, Chen L, Sun G, Li Y, and Huang R. Alterations in the gut microbiota of patients with silica-induced pulmonary fibrosis. J Occup Med Toxicol. (2019) 14:5. doi: 10.1186/s12995-019-0225-1

PubMed Abstract | Crossref Full Text | Google Scholar

129. Enaud R, Hooks KB, Barre A, Barnetche T, Hubert C, Massot M, et al. Intestinal inflammation in children with cystic fibrosis is associated with Crohn’s-like microbiota disturbances. J Clin Med. (2019) 8:645. doi: 10.3390/jcm8050645

PubMed Abstract | Crossref Full Text | Google Scholar

130. Bazett M, Bergeron M-E, and Haston CK. Streptomycin treatment alters the intestinal microbiome, pulmonary T cell profile and airway hyperresponsiveness in a cystic fibrosis mouse model. Sci Rep. (2016) 6:19189. doi: 10.1038/srep19189

PubMed Abstract | Crossref Full Text | Google Scholar

131. Illiano P, Brambilla R, and Parolini C. The mutual interplay of gut microbiota, diet and human disease. FEBS J. (2020) 287:833–55. doi: 10.1111/febs.15217

PubMed Abstract | Crossref Full Text | Google Scholar

132. O′ Toole PW and Cooney JC. Probiotic bacteria influence the composition and function of the intestinal microbiota. Interdiscip Perspect Infect Dis. (2008) 2008:175285. doi: 10.1155/2008/175285

PubMed Abstract | Crossref Full Text | Google Scholar

133. Buffie CG, Bucci V, Stein RR, McKenney PT, Ling L, Gobourne A, et al. Precision microbiome reconstitution restores bile acid mediated resistance to Clostridium difficile. Nature. (2015) 517:205–8. doi: 10.1038/nature13828

PubMed Abstract | Crossref Full Text | Google Scholar

134. Maranduba CMDC, De Castro SBR, de Souza GT, Rossato C, da Guia FC, Valente MAS, et al. Intestinal microbiota as modulators of the immune system and neuroimmune system: impact on the host health and homeostasis. J Immunol Res. (2015) 2015:931574. doi: 10.1155/2015/931574

PubMed Abstract | Crossref Full Text | Google Scholar

135. Ma P-J, Wang M-M, and Wang Y. Gut microbiota: A new insight into lung diseases. BioMed Pharmacother. (2022) 155:113810. doi: 10.1016/j.biopha.2022.113810

PubMed Abstract | Crossref Full Text | Google Scholar

136. Fagundes CT, Amaral FA, Vieira AT, Soares AC, Pinho V, Nicoli JR, et al. Transient TLR activation restores inflammatory response and ability to control pulmonary bacterial infection in germfree mice. J Immunol. (2012) 188:1411–20. doi: 10.4049/jimmunol.1101682

PubMed Abstract | Crossref Full Text | Google Scholar

137. Ichinohe T, Pang IK, Kumamoto Y, Peaper DR, Ho JH, Murray TS, et al. Microbiota regulates immune defense against respiratory tract influenza A virus infection. Proc Natl Acad Sci U S A. (2011) 108:5354–9. doi: 10.1073/pnas.1019378108

PubMed Abstract | Crossref Full Text | Google Scholar

138. Wu S, Jiang Z-Y, Sun Y-F, Yu B, Chen J, Dai C-Q, et al. Microbiota regulates the TLR7 signaling pathway against respiratory tract influenza A virus infection. Curr Microbiol. (2013) 67:414–22. doi: 10.1007/s00284-013-0380-z

PubMed Abstract | Crossref Full Text | Google Scholar

139. Kawahara T, Takahashi T, Oishi K, Tanaka H, Masuda M, Takahashi S, et al. Consecutive oral administration of Bifidobacterium longum MM-2 improves the defense system against influenza virus infection by enhancing natural killer cell activity in a murine model. Microbiol Immunol. (2015) 59:1–12. doi: 10.1111/1348-0421.12210

PubMed Abstract | Crossref Full Text | Google Scholar

140. Luoto R, Ruuskanen O, Waris M, Kalliomäki M, Salminen S, and Isolauri E. Prebiotic and probiotic supplementation prevents rhinovirus infections in preterm infants: a randomized, placebo-controlled trial. J Allergy Clin Immunol. (2014) 133:405–13. doi: 10.1016/j.jaci.2013.08.020

PubMed Abstract | Crossref Full Text | Google Scholar

141. Jespersen L, Tarnow I, Eskesen D, Morberg CM, Michelsen B, Bügel S, et al. Effect of Lactobacillus paracasei subsp. paracasei, L. casei 431 on immune response to influenza vaccination and upper respiratory tract infections in healthy adult volunteers: a randomized, double-blind, placebo-controlled, parallel-group study. Am J Clin Nutr. (2015) 101:1188–96. doi: 10.3945/ajcn.114.103531

PubMed Abstract | Crossref Full Text | Google Scholar

142. King S, Glanville J, Sanders ME, Fitzgerald A, and Varley D. Effectiveness of probiotics on the duration of illness in healthy children and adults who develop common acute respiratory infectious conditions: a systematic review and meta-analysis. Br J Nutr. (2014) 112:41–54. doi: 10.1017/s0007114514000075

PubMed Abstract | Crossref Full Text | Google Scholar

143. West NP, Horn PL, Pyne DB, Gebski VJ, Lahtinen SJ, Fricker PA, et al. Probiotic supplementation for respiratory and gastrointestinal illness symptoms in healthy physically active individuals. Clin Nutr. (2014) 33:581–7. doi: 10.1016/j.clnu.2013.10.002

PubMed Abstract | Crossref Full Text | Google Scholar

144. Voo P-Y, Wu C-T, Sun H-L, Ko J-L, and Lue K-H. Effect of combination treatment with Lactobacillus rhamnosus and corticosteroid in reducing airway inflammation in a mouse asthma model. J Microbiol Immunol Infect. (2022) 55:766–76. doi: 10.1177/03000605211053156

PubMed Abstract | Crossref Full Text | Google Scholar

145. Xiao H, Zhang Y, Kong D, Li S, and Yang N. The effects of social support on sleep quality of medical staff treating patients with coronavirus disease 2019 (COVID-19) in January and February 2020 in China. Med Sci Monit. (2020) 26:e923549–923541. doi: 10.12659/msm.923549

PubMed Abstract | Crossref Full Text | Google Scholar

146. Henrick BM, Rodriguez L, Lakshmikanth T, Pou C, Henckel E, Arzoomand A, et al. Bifidobacteria-mediated immune system imprinting early in life. Cell. (2021) 184:3884–3898.e3811. doi: 10.1016/j.canlet.2024.217096

PubMed Abstract | Crossref Full Text | Google Scholar

147. Wu C-T, Chen P-J, Lee Y-T, Ko J-L, and Lue K-H. Effects of immunomodulatory supplementation with Lactobacillus rhamnosus on airway inflammation in a mouse asthma model. J Microbiol Immunol Infect. (2016) 49:625–35. doi: 10.1016/j.jmii.2014.08.001

PubMed Abstract | Crossref Full Text | Google Scholar

148. Liu Y, Li L, Feng J, Wan B, Tu Q, Cai W, et al. Modulation of chronic obstructive pulmonary disease progression by antioxidant metabolites from Pediococcus pentosaceus: enhancing gut probiotics abundance and the tryptophan-melatonin pathway. Gut Microbes. (2024) 16:2320283. doi: 10.1080/19490976.2024.2320283

PubMed Abstract | Crossref Full Text | Google Scholar

149. Ji J-J, Sun Q-M, Nie D-Y, Wang Q, Zhang H, Qin F-F, et al. Probiotics protect against RSV infection by modulating the microbiota-alveolar-macrophage axis. Acta Pharmacol Sin. (2021) 42:1630–41. doi: 10.1038/s41401-020-00573-5

PubMed Abstract | Crossref Full Text | Google Scholar

150. Van Biervliet S, Hauser B, Verhulst S, Stepman H, Delanghe J, Warzee J-P, et al. Probiotics in cystic fibrosis patients: A double blind crossover placebo controlled study: Pilot study from the ESPGHAN Working Group on Pancreas/CF. Clin Nutr ESPEN. (2018) 27:59–65. doi: 10.1016/j.clnu.2013.10.002

PubMed Abstract | Crossref Full Text | Google Scholar

151. Green JE, Davis JA, Berk M, Hair C, Loughman A, Castle D, et al. Efficacy and safety of fecal microbiota transplantation for the treatment of diseases other than Clostridium difficile infection: a systematic review and meta-analysis. Gut Microbes. (2020) 12:1854640. doi: 10.1080/19490976.2020.1854640

PubMed Abstract | Crossref Full Text | Google Scholar

152. Chen Z-Y, Xiao H-W, Dong J-L, Li Y, Wang B, Fan S-J, et al. Gut microbiota-derived PGF2α fights against radiation-induced lung toxicity through the MAPK/NF-κB pathway. Antioxidants. (2021) 11:65. doi: 10.3390/antiox11010065

PubMed Abstract | Crossref Full Text | Google Scholar

153. Sharma RK, Oliveira AC, Yang T, Karas MM, Li J, Lobaton GO, et al. Gut pathology and its rescue by ACE2 (angiotensin-converting enzyme 2) in hypoxia-induced pulmonary hypertension. Hypertension. (2020) 76:206–16. doi: 10.1016/j.heliyon.2024.e30612

PubMed Abstract | Crossref Full Text | Google Scholar

154. Kassam Z, Dubois N, Ramakrishna B, Ling K, Qazi T, Smith M, et al. Donor screening for fecal microbiota transplantation. N Engl J Med. (2019) 381:2070–2. doi: 10.1056/nejmc1913670

PubMed Abstract | Crossref Full Text | Google Scholar

155. Lai Y, Qiu R, Zhou J, Ren L, Qu Y, and Zhang G. Fecal microbiota transplantation alleviates airway inflammation in asthmatic rats by increasing the level of short-chain fatty acids in the intestine. Inflammation. (2025) 48:1538–52. doi: 10.1007/s10753-024-02233-w

PubMed Abstract | Crossref Full Text | Google Scholar

156. Dai M, Liu Y, Chen W, Buch H, Shan Y, Chang L, et al. Rescue fecal microbiota transplantation for antibiotic-associated diarrhea in critically ill patients. Crit Care Clin. (2019) 23:324. doi: 10.1186/s13054-019-2604-5

PubMed Abstract | Crossref Full Text | Google Scholar

157. Burstein D, Sun CL, Brown CT, Sharon I, Anantharaman K, Probst AJ, et al. Major bacterial lineages are essentially devoid of CRISPR-Cas viral defence systems. Nat Commun. (2016) 7:10613. doi: 10.1038/ncomms10613

PubMed Abstract | Crossref Full Text | Google Scholar

158. Horvath P and Barrangou R. CRISPR/Cas, the immune system of bacteria and archaea. Science. (2010) 327:167–70. doi: 10.1126/science.1179555

PubMed Abstract | Crossref Full Text | Google Scholar

159. McAllister KN, Aguirre AM, and Sorg JA. The Selenophosphate Synthetase Gene, selD, Is Important for Clostridioides difficile Physiology. J Bacteriol. (2021) 203:e0000821. doi: 10.1128/jb.00008-21

PubMed Abstract | Crossref Full Text | Google Scholar

160. Zheng L, Tan Y, Hu Y, Shen J, Qu Z, Chen X, et al. CRISPR/Cas-based genome editing for human gut commensal Bacteroides species. ACS Synth Biol. (2022) 11:464–72. doi: 10.1021/acssynbio.1c00543

PubMed Abstract | Crossref Full Text | Google Scholar

161. Lin S, Han S, Wang X, Wang X, Shi X, He Z, et al. Oral microto-nano genome-editing system enabling targeted delivery and conditional activation of CRISPR-Cas9 for gene therapy of inflammatory bowel disease. ACS Nano. (2024) 18:25657–70. doi: 10.1021/acsnano.4c07750

PubMed Abstract | Crossref Full Text | Google Scholar

162. Lam KN, Spanogiannopoulos P, Soto-Perez P, Alexander M, Nalley MJ, Bisanz JE, et al. Phage-delivered CRISPR-Cas9 for strain-specific depletion and genomic deletions in the gut microbiome. Cell Rep Med. (2021) 37:109930. doi: 10.1016/j.celrep.2021.109930

PubMed Abstract | Crossref Full Text | Google Scholar

163. Gilbert JA, Blaser MJ, Caporaso JG, Jansson JK, Lynch SV, and Knight R. Current understanding of the human microbiome. Nat Med. (2018) 24:392–400. doi: 10.1038/nm.4517

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: gut microbiota, gut-lung axis, immune response, inflammatory process, microbiome intervention

Citation: Liu J, Hong W, Sun Z, Zhang S, Xue C and Dong N (2026) The gut-lung axis: effects and mechanisms of gut microbiota on pulmonary diseases. Front. Immunol. 16:1693964. doi: 10.3389/fimmu.2025.1693964

Received: 27 August 2025; Accepted: 31 October 2025;
Published: 05 January 2026.

Edited by:

Daniel P. Potaczek, Philipps-University of Marburg, Germany

Reviewed by:

Quoc Quang Luu, Versiti Blood Research Institute, United States
Yunlei Zhang, Nanjing Medical University, China
Arezina N. Kasti, University General Hospital Attikon, Greece
Juan Felipe López, University of Zurich, Switzerland

Copyright © 2026 Liu, Hong, Sun, Zhang, Xue and Dong. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Chenyu Xue, Y3l4dWVAbmVhdS5lZHUuY24=; Na Dong, bmRvbmdAbmVhdS5lZHUuY24=

Disclaimer: 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.