The DOI matches its Crossref record; 427 of the 427 references it cites were found in a registry or an index.
Lung microbiome: new insights into the pathogenesis of respiratory diseases
Open accessAbstract
The lungs were long thought to be sterile until technical advances uncovered the presence of the lung microbial community. The microbiome of healthy lungs is mainly derived from the upper respiratory tract (URT) microbiome but also has its own characteristic flora. The selection mechanisms in the lung, including clearance by coughing, pulmonary macrophages, the oscillation of respiratory cilia, and bacterial inhibition by alveolar surfactant, keep the microbiome transient and mobile, which is different from the microbiome in other organs. The pulmonary bacteriome has been intensively studied recently, but relatively little research has focused on the mycobiome and virome. This up-to-date review retrospectively summarizes the lung microbiome’s history, composition, and function. We focus on the interaction of the lung microbiome with the oropharynx and gut microbiome and emphasize the role it plays in the innate and adaptive immune responses. More importantly, we focus on multiple respiratory diseases, including asthma, chronic obstructive pulmonary disease (COPD), fibrosis, bronchiectasis, and pneumonia. The impact of the lung microbiome on coronavirus disease 2019 (COVID-19) and lung cancer has also been comprehensively studied. Furthermore, by summarizing the therapeutic potential of the lung microbiome in lung diseases and examining the shortcomings of the field, we propose an outlook of the direction of lung microbiome research.
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1 retracted
Lagier, J.-C., Khelaifia, S., Alou, M. T., Ndongo, S., Dione, N., Hugon, P., Caputo, A., Cadoret, F., Traore, S. I., Seck, E. H., et al. (2016) · Nature Microbiology · doi:10.1038/nmicrobiol.2016.203 · Cited by 951
RetractedSiegel, R. L., Miller, K. D., Fuchs, H. E., & Jemal, A. (2021) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21654 · Cited by 16,522
Structure, function and diversity of the healthy human microbiome
The Human Microbiome Project Consortium (2012) · Nature · doi:10.1038/nature11234 · Cited by 11,726
A human gut microbial gene catalogue established by metagenomic sequencing
MetaHIT Consortium, Qin, J., Li, R., Raes, J., Arumugam, M., Burgdorf, K. S., Manichanh, C., Nielsen, T., Pons, N., Levenez, F., et al. (2010) · Nature · doi:10.1038/nature08821 · Cited by 11,624
Self-citationHuman gut microbiome viewed across age and geography
Yatsunenko, T., Rey, F. E., Manary, M. J., Trehan, I., Dominguez-Bello, M. G., Contreras, M., Magris, M., Hidalgo, G., Baldassano, R. N., Anokhin, A. P., et al. (2012) · Nature · doi:10.1038/nature11053 · Cited by 7,815
From Dietary Fiber to Host Physiology: Short-Chain Fatty Acids as Key Bacterial Metabolites
Koh, A., De Vadder, F., Kovatcheva-Datchary, P., & Bäckhed, F. (2016) · Cell · doi:10.1016/j.cell.2016.05.041 · Cited by 7,070
Commensal microbe-derived butyrate induces the differentiation of colonic regulatory T cells
Furusawa, Y., Obata, Y., Fukuda, S., Endo, T. A., Nakato, G., Takahashi, D., Nakanishi, Y., Uetake, C., Kato, K., Kato, T., et al. (2013) · Nature · doi:10.1038/nature12721 · Cited by 5,549
Role of the microbiota in immunity and inflammation.
Belkaid, Y., & Hand, T. W. (2014) · Cell · doi:10.1016/j.cell.2014.03.011 · Cited by 5,385
Induction of Intestinal Th17 Cells by Segmented Filamentous Bacteria
Ivanov, I. I., Atarashi, K., Manel, N., Brodie, E. L., Shima, T., Karaoz, U., Wei, D., Goldfarb, K. C., Santee, C. A., Lynch, S. V., et al. (2009) · Cell · doi:10.1016/j.cell.2009.09.033 · Cited by 4,554
Recognition of Commensal Microflora by Toll-Like Receptors Is Required for Intestinal Homeostasis
Rakoff-Nahoum, S., Paglino, J., Eslami-Varzaneh, F., Edberg, S., & Medzhitov, R. (2004) · Cell · doi:10.1016/j.cell.2004.07.002 · Cited by 4,251
Cited by
Ma, Z., Zuo, T., Frey, N., & Rangrez, A. Y. (2024) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-024-01946-6 · Cited by 259
The human microbiome in clinical translation: from bench to bedside
Bautista, J., Echeverría, C. E., Maldonado-Noboa, I., Ojeda-Mosquera, S., Hidalgo-Tinoco, C., & López-Cortés, A. (2025) · Frontiers in Microbiology · doi:10.3389/fmicb.2025.1632435 · Cited by 55
Role of gut microbes in acute lung injury/acute respiratory distress syndrome
Ren, Z., Zheng, Z., & Feng, X. (2024) · Gut Microbes · doi:10.1080/19490976.2024.2440125 · Cited by 48
Single‐Cell Insights Into Macrophage Subtypes in Pulmonary Infections
Lin, Z., Zheng, Y., Zhong, Y., & Wang, H. (2026) · Advanced Science · doi:10.1002/advs.202510758 · Cited by 13
Manrique-Sam, C., Rivas-Torres, R., Miranda-Pinto, A., Sanchez Guillen, J. C., Apaza-Tosocahua, S., & Farfán-Delgado, F. (2026) · Materials · doi:10.3390/ma19173661
Metadata
- Authors
- Li, R., Li, J., & Zhou, X.
- Venue
- Signal Transduction and Targeted Therapy
- Published
- 2024-01-17
- Volume
- 9
- Issue
- 1
- Pages
- 19-19
- ISSN
- 2059-3635 (ISSN-L)
- OpenAlex
- W4390929150
- Cited by
- 434
- References
- 427
- FWCI
- 50.42
- Type
- journal article
- Language
- en
- Open access
- gold
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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