The role of the lung microbiota and the gut–lung axis in respiratory infectious diseases
Open accessAbstract
The pulmonary microbial community, described only a few years ago, forms a discreet part of the human host microbiota. The airway microbiota has been found to be substantially altered in the context of numerous respiratory disorders; nonetheless, its role in health and disease is as yet only poorly understood. Another important parameter to consider is the gut-lung axis, where distal (gut) immune modulation during respiratory disease is mediated by the gut microbiota. The use of specific microbiota strains, termed "probiotics," with beneficial effects on the host immunity and/or against pathogens, has proven successful in the treatment of intestinal disorders and is also showing promise in the context of airway diseases. In this review, we highlight the beneficial role of the body's commensal bacteria during airway infectious diseases, including recent evidence highlighting their local (lung) or distal (gut) contribution in this process.
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GI tract and respiratory system, along with their respective microbiomes, communicate with and influence each other - gut-lung axis.
“Evidence suggests that the GI tract and respiratory system, along with their respective microbiomes, communicate with and influence each other – a relationship widely referred to as the gut-lung axis (see Figure 2 ) (Dumas et al., 2018).”
From Viral Infections, the Microbiome, and Probiotics (2021) · cites this paper as Dumas et al., 2018
Alterations in GI microbiome appear to affect pulmonary immunity relevant to viral infections.
“Of particular interest is the observation that alterations in the GI microbiome appears to affect pulmonary immunity relevant to viral infections (Dumas et al., 2018).”
From Viral Infections, the Microbiome, and Probiotics (2021) · cites this paper as Dumas et al., 2018
Recent advances in understanding of the gut-lung and gut-liver axes suggest novel means of protection against viral pathogens targeting extra-intestinal organs through manipulation of the GI microbiome.
“Furthermore, recent advances in our understanding of the gut-lung and gut-liver (Milosevic et al., 2019) axes suggest novel means of protection against viral pathogens targeting extra-intestinal organs through manipulation of the GI microbiome (Dumas et al., 2018).”
From Viral Infections, the Microbiome, and Probiotics (2021) · cites this paper as Dumas et al., 2018
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Viral Infections, the Microbiome, and Probiotics
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- Authors
- Dumas, A., Bernard, L., Poquet, Y., Lugo-Villarino, G., & Neyrolles, O.
- Affiliations
- Centre National de la Recherche Scientifique (FR)
- Institut de Pharmacologie et de Biologie Structurale (IPBS); Université de Toulouse, CNRS, UPS; Toulouse France
- Corresponding author
- Neyrolles, Olivier
- Venue
- Cellular Microbiology
- Publisher
- Wiley
- Published
- 2018-10-30
- Volume
- 20
- Issue
- 12
- Pages
- e12966
- ISSN
- 1462-5814 (ISSN-L)
- OpenAlex
- W2896647182
- Cited by
- 444
- References
- 74
- Citations by year
- 2026: 22 · 2025: 45 · 2024: 59 · 2023: 51 · 2022: 95 · 2021: 97 · 2020: 60 · 2019: 13 · 2018: 1
- FWCI
- 4.20
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cellular Microbiology (publishedVersion)
- PubMed (publishedVersion)
- HAL (submittedVersion)
- Funders
- Agence Nationale de la Recherche (ANR-15-CE15-0012)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Health Sciences › Dentistry › Periodontics › Oral microbiology and periodontitis research
- Health Sciences › Medicine › Physiology › Asthma and respiratory diseases
- Keywords
- lung microbiome, gut-lung axis, respiratory infections, airway microbiome, gut microbiota, probiotics, commensal bacteria, host immunity, immunomodulation
- MeSH terms
- Gastrointestinal Microbiome, Animals, Humans, Lung, Respiratory Tract Infections, Probiotics, Host-Pathogen Interactions, Microbiota, Dysbiosis
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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