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Chen YF, Hou HH, Chien N, Lu KZ, Lin CH, Liao YC, Lor KL, Chien JY, Chen CM, Chen CY, Cheng SL, Wang HC, Hsueh PR, Yu CJ. The clinical impacts of lung microbiome in bronchiectasis with fixed airflow obstruction: a prospective cohort study. Respir Res 2024; 25:308. [PMID: 39143556 PMCID: PMC11325704 DOI: 10.1186/s12931-024-02931-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2024] [Accepted: 07/31/2024] [Indexed: 08/16/2024] Open
Abstract
BACKGROUND Airflow obstruction is a hallmark of disease severity and prognosis in bronchiectasis. The relationship between lung microbiota, airway inflammation, and outcomes in bronchiectasis with fixed airflow obstruction (FAO) remains unclear. This study explores these interactions in bronchiectasis patients, with and without FAO, and compares them to those diagnosed with chronic obstructive pulmonary disease (COPD). METHODS This prospective observational study in Taiwan enrolled patients with either bronchiectasis or COPD. To analyze the lung microbiome and assess inflammatory markers, bronchoalveolar lavage (BAL) samples were collected for 16S rRNA gene sequencing. The study cohort comprised 181 patients: 86 with COPD, 46 with bronchiectasis, and 49 with bronchiectasis and FAO, as confirmed by spirometry. RESULTS Patients with bronchiectasis, with or without FAO, had similar microbiome profiles characterized by reduced alpha diversity and a predominance of Proteobacteria, distinctly different from COPD patients who exhibited more Firmicutes, greater diversity, and more commensal taxa. Furthermore, compared to COPD and bronchiectasis without FAO, bronchiectasis with FAO showed more severe disease and a higher risk of exacerbations. A significant correlation was found between the presence of Pseudomonas aeruginosa and increased airway neutrophilic inflammation such as Interleukin [IL]-1β, IL-8, and tumor necrosis factor-alpha [TNF]-α, as well as with higher bronchiectasis severity, which might contribute to an increased risk of exacerbations. Moreover, in bronchiectasis patients with FAO, the ROSE (Radiology, Obstruction, Symptoms, and Exposure) criteria were employed to classify individuals as either ROSE (+) or ROSE (-), based on smoking history. This classification highlighted differences in clinical features, inflammatory profiles, and slight microbiome variations between ROSE (-) and ROSE (+) patients, suggesting diverse endotypes within the bronchiectasis with FAO group. CONCLUSION Bronchiectasis patients with FAO may exhibit two distinct endotypes, as defined by ROSE criteria, characterized by greater disease severity and a lung microbiome more similar to bronchiectasis without FAO than to COPD. The significant correlation between Pseudomonas aeruginosa colonization and increased airway neutrophilic inflammation, as well as disease severity, underscores the clinical relevance of microbial patterns. This finding reinforces the potential role of these patterns in the progression and exacerbations of bronchiectasis with FAO.
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Affiliation(s)
- Yen-Fu Chen
- Department of Internal Medicine, National Taiwan University Hospital, Yun-Lin Branch, Yunlin County, Taiwan
- Graduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, 7 Chung-Shan South Road, Taipei, 100, Taiwan (ROC)
- Thoracic Medicine Center, Department of Medicine and Surgery, National Taiwan University Hospital Yunlin Branch, Yunlin County, Taiwan
| | - Hsin-Han Hou
- Graduate Institute of Oral Biology, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Ning Chien
- Department of Medical Imaging, National Taiwan University Cancer Center, Taipei, Taiwan
| | - Kai-Zen Lu
- Department of Internal Medicine, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Chieh-Hua Lin
- Big Data Center, China Medical University Hospital, Taichung, Taiwan
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli, 350, Taiwan
| | - Yu-Chieh Liao
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli, 350, Taiwan
| | - Kuo-Lung Lor
- Department of Biomedical Engineering, College of Medicine and College of Engineering, National Taiwan University, Taipei, Taiwan
| | - Jung-Yien Chien
- Graduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, 7 Chung-Shan South Road, Taipei, 100, Taiwan (ROC)
- Department of Internal Medicine, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Chung-Ming Chen
- Department of Biomedical Engineering, College of Medicine and College of Engineering, National Taiwan University, Taipei, Taiwan
| | - Chung-Yu Chen
- Department of Internal Medicine, National Taiwan University Hospital, Yun-Lin Branch, Yunlin County, Taiwan
- Graduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, 7 Chung-Shan South Road, Taipei, 100, Taiwan (ROC)
- Thoracic Medicine Center, Department of Medicine and Surgery, National Taiwan University Hospital Yunlin Branch, Yunlin County, Taiwan
| | - Shih-Lung Cheng
- Division of Thoracic Medicine, Far Eastern Memorial Hospital, New Taipei City, Taiwan
- Department of Chemical Engineering and Materials Science, Yuan Ze University, Taoyuan City 320, Taiwan
| | - Hao-Chien Wang
- Department of Internal Medicine, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei, Taiwan
- Department of Medicine, National Taiwan University Cancer Center, Taipei, Taiwan
| | - Po-Ren Hsueh
- Department of Laboratory Medicine, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei, Taiwan
- Departments of Laboratory Medicine and Internal Medicine, China Medical University Hospital, Taichung, Taiwan
- School of Medicine, China Medical University, Taichung, Taiwan
- Ph.D Programme for Aging, College of Medicine, China Medical University, Taichung, Taiwan
| | - Chong-Jen Yu
- Graduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, 7 Chung-Shan South Road, Taipei, 100, Taiwan (ROC).
- Department of Internal Medicine, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei, Taiwan.
- Department of Internal Medicine, National Taiwan University Hospital, Hsin-Chu Branch, Hsin-Chu, Taiwan.
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Ma H, Dong Z, Zhang X, Liu C, Liu Z, Zhou X, He J, Zhang S. Airway bacterial microbiome signatures correlate with occupational pneumoconiosis progression. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 284:116875. [PMID: 39142114 DOI: 10.1016/j.ecoenv.2024.116875] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/06/2024] [Revised: 08/06/2024] [Accepted: 08/09/2024] [Indexed: 08/16/2024]
Abstract
Recent evidence has pinpointed a key role of the microbiome in human respiratory health and disease. However, significant knowledge gaps still exist regarding the connection between bacterial communities and adverse effects caused by particulate matters (PMs). Here, we characterized the bacterial microbiome along different airway sites in occupational pneumoconiosis (OP) patients. The sequencing data revealed that OP patients exhibited distinct dysbiosis in the composition and function of the respiratory microbiota. To different extents, there was an overall increase in the colonization of microbiota, such as Streptococcus, implying a possible intrusion pathway provided by exogenous PMs. Compared to those of healthy subjects, unhealthy living habits (i.e., smoking) had a greater impact on microbiome changes in OP patients. Importantly, the associations between the bacterial community and disease indicators indicated that specific bacterial species, including Prevotella, Actinobacillus, and Leptotrichia, might be surrogate markers of OP disease progression. Collectively, our results highlighted the potential participation of the bacterial microbiota in the pathogenesis of respiratory diseases and helped in the discovery of microbiome-based diagnostics for PM-induced disorders.
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Affiliation(s)
- Huimin Ma
- Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong 250117, China; School of Stomatology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong 250117, China; Department of Stomatology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong 250021, China
| | - Zheng Dong
- Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong 250117, China.
| | - Xu Zhang
- Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong 250117, China; School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong 250117, China
| | - Conghe Liu
- Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong 250117, China
| | - Zhihao Liu
- Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong 250117, China; School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong 250117, China
| | - Xi Zhou
- Occupational Diseases Hospital of Shandong First Medical University, Jinan, Shandong 250062, China; Shandong Academy of Occupational Health and Occupational Medicine, Jinan, Shandong 250062, China
| | - Jin He
- Occupational Diseases Hospital of Shandong First Medical University, Jinan, Shandong 250062, China; Shandong Academy of Occupational Health and Occupational Medicine, Jinan, Shandong 250062, China
| | - Shuping Zhang
- Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong 250117, China
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Ryu MH, Soumana IH, Wooding DJ, Leitao Filho FS, Yang J, Nislow C, Rider CF, Leung JM, Carlsten C. Relationship between Airway Microbiome and the Immune Response to Diesel Exhaust: A Randomized Crossover Controlled Exposure Study. ENVIRONMENTAL HEALTH PERSPECTIVES 2024; 132:77701. [PMID: 38985157 PMCID: PMC11235190 DOI: 10.1289/ehp13874] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Revised: 06/06/2024] [Accepted: 06/24/2024] [Indexed: 07/11/2024]
Affiliation(s)
- Min Hyung Ryu
- Air Pollution Exposure Lab, Division of Respiratory Medicine, University of British Columbia, British Columbia, Canada
- Centre for Lung Health, Vancouver Coastal Health Research Institute, Vancouver, British Columbia, Canada
- Centre for Heart and Lung Innovation, St. Paul’s Hospital, University of British Columbia, Vancouver, British Columbia, Canada
| | - Illiassou Hamidou Soumana
- Air Pollution Exposure Lab, Division of Respiratory Medicine, University of British Columbia, British Columbia, Canada
- Centre for Lung Health, Vancouver Coastal Health Research Institute, Vancouver, British Columbia, Canada
| | - Denise J. Wooding
- Air Pollution Exposure Lab, Division of Respiratory Medicine, University of British Columbia, British Columbia, Canada
- Centre for Lung Health, Vancouver Coastal Health Research Institute, Vancouver, British Columbia, Canada
| | - Fernando Sergio Leitao Filho
- Centre for Heart and Lung Innovation, St. Paul’s Hospital, University of British Columbia, Vancouver, British Columbia, Canada
| | - Julia Yang
- Centre for Heart and Lung Innovation, St. Paul’s Hospital, University of British Columbia, Vancouver, British Columbia, Canada
| | - Corey Nislow
- Department of Biochemistry and Molecular Biology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Christopher F. Rider
- Air Pollution Exposure Lab, Division of Respiratory Medicine, University of British Columbia, British Columbia, Canada
- Centre for Lung Health, Vancouver Coastal Health Research Institute, Vancouver, British Columbia, Canada
| | - Janice M. Leung
- Centre for Heart and Lung Innovation, St. Paul’s Hospital, University of British Columbia, Vancouver, British Columbia, Canada
| | - Chris Carlsten
- Air Pollution Exposure Lab, Division of Respiratory Medicine, University of British Columbia, British Columbia, Canada
- Centre for Lung Health, Vancouver Coastal Health Research Institute, Vancouver, British Columbia, Canada
- Centre for Heart and Lung Innovation, St. Paul’s Hospital, University of British Columbia, Vancouver, British Columbia, Canada
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Liu Y, Fachrul M, Inouye M, Méric G. Harnessing human microbiomes for disease prediction. Trends Microbiol 2024; 32:707-719. [PMID: 38246848 DOI: 10.1016/j.tim.2023.12.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 12/12/2023] [Accepted: 12/12/2023] [Indexed: 01/23/2024]
Abstract
The human microbiome has been increasingly recognized as having potential use for disease prediction. Predicting the risk, progression, and severity of diseases holds promise to transform clinical practice, empower patient decisions, and reduce the burden of various common diseases, as has been demonstrated for cardiovascular disease or breast cancer. Combining multiple modifiable and non-modifiable risk factors, including high-dimensional genomic data, has been traditionally favored, but few studies have incorporated the human microbiome into models for predicting the prospective risk of disease. Here, we review research into the use of the human microbiome for disease prediction with a particular focus on prospective studies as well as the modulation and engineering of the microbiome as a therapeutic strategy.
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Affiliation(s)
- Yang Liu
- Cambridge Baker Systems Genomics Initiative, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK; Cambridge Baker Systems Genomics Initiative, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia; Department of Clinical Pathology, Melbourne Medical School, The University of Melbourne, Melbourne, Victoria, Australia; Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Cambridge, UK; British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Muhamad Fachrul
- Cambridge Baker Systems Genomics Initiative, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia; Department of Clinical Pathology, Melbourne Medical School, The University of Melbourne, Melbourne, Victoria, Australia; Human Genomics and Evolution Unit, St Vincent's Institute of Medical Research, Victoria, Australia; Melbourne Integrative Genomics, University of Melbourne, Parkville, Victoria, Australia; School of BioSciences, University of Melbourne, Parkville, Victoria, Australia
| | - Michael Inouye
- Cambridge Baker Systems Genomics Initiative, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK; Cambridge Baker Systems Genomics Initiative, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia; Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Cambridge, UK; British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK; Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, UK; British Heart Foundation Cambridge Centre of Research Excellence, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Guillaume Méric
- Cambridge Baker Systems Genomics Initiative, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia; Department of Cardiometabolic Health, University of Melbourne, Melbourne, Victoria, Australia; Central Clinical School, Monash University, Melbourne, Victoria, Australia; Department of Medical Science, Molecular Epidemiology, Uppsala University, Uppsala, Sweden; Department of Cardiovascular Research, Translation, and Implementation, La Trobe University, Melbourne, Victoria, Australia.
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5
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Guo J, Garshick E, Si F, Tang Z, Lian X, Wang Y, Li J, Koutrakis P. Environmental Toxicant Exposure and Depressive Symptoms. JAMA Netw Open 2024; 7:e2420259. [PMID: 38958973 PMCID: PMC11222999 DOI: 10.1001/jamanetworkopen.2024.20259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Accepted: 05/03/2024] [Indexed: 07/04/2024] Open
Abstract
Importance Recognizing associations between exposure to common environmental toxicants and mental disorders such as depression is crucial for guiding targeted mechanism research and the initiation of disease prevention efforts. Objectives To comprehensively screen and assess the associations between potential environmental toxicants and depressive symptoms and to assess whether systemic inflammation serves as a mediator. Design, Setting, and Participants A total of 3427 participants from the 2013-2014 and 2015-2016 waves of the National Health and Nutrition Examination and Survey who had information on blood or urine concentrations of environmental toxicants and depression scores assessed by the 9-item Patient Health Questionnaire (PHQ-9) were included. Statistical analysis was performed from July 1, 2023, to January 31, 2024. Exposures Sixty-two toxicants in 10 categories included acrylamide, arsenic, ethylene oxide, formaldehyde, iodine, metals, nicotine metabolites, polycyclic aromatic hydrocarbons, volatile organic compound (VOC) metabolites; and perchlorate, nitrate, and thiocyanate. Main Outcomes and Measures An exposome-wide association study and the deletion-substitution-addition algorithm were used to assess associations with depression scores (PHQ-9 ≥5) adjusted for other important covariates. A mediation analysis framework was used to evaluate the mediating role of systemic inflammation assessed by the peripheral white blood cell count. Results Among the 3427 adults included, 1735 (50.6%) were women, 2683 (78.3%) were younger than 65 years, and 744 (21.7%) were 65 years or older, with 839 (24.5%) having depressive symptoms. In terms of race and ethnicity, 570 participants (16.6%) were Mexican American, 679 (19.8%) were non-Hispanic Black, and 1314 (38.3%) were non-Hispanic White. We identified associations between 27 chemical compounds or metals in 6 of 10 categories of environmental toxicants and the prevalence of depressive symptoms, including the VOC metabolites N-acetyl-S-(2-hydroxy-3-butenyl)-l-cysteine (odds ratio [OR], 1.74 [95% CI, 1.38, 2.18]) and total nicotine equivalent-2 (OR, 1.42 [95% CI, 1.26-1.59]). Men and younger individuals appear more vulnerable to environmental toxicants than women and older individuals. Peripheral white blood cell count mediated 5% to 19% of the associations. Conclusions and Relevance In this representative cross-sectional study of adults with environmental toxicant exposures, 6 categories of environmental toxicants were associated with depressive symptoms with mediation by systemic inflammation. This research provides insight into selecting environmental targets for mechanistic research into the causes of depression and facilitating efforts to reduce environmental exposures.
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Affiliation(s)
- Jianhui Guo
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China
| | - Eric Garshick
- Pulmonary, Allergy, Sleep, and Critical Care Medicine Section, Medical Service, Veterans Affairs Boston Healthcare System and Harvard Medical School, Boston, Massachusetts
| | - Feifei Si
- Peking University Sixth Hospital Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Ziqi Tang
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China
| | - Xinyao Lian
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China
| | - Yaqi Wang
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China
| | - Jing Li
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China
| | - Petros Koutrakis
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
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6
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Brown GD, Ballou ER, Bates S, Bignell EM, Borman AM, Brand AC, Brown AJP, Coelho C, Cook PC, Farrer RA, Govender NP, Gow NAR, Hope W, Hoving JC, Dangarembizi R, Harrison TS, Johnson EM, Mukaremera L, Ramsdale M, Thornton CR, Usher J, Warris A, Wilson D. The pathobiology of human fungal infections. Nat Rev Microbiol 2024:10.1038/s41579-024-01062-w. [PMID: 38918447 DOI: 10.1038/s41579-024-01062-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/14/2024] [Indexed: 06/27/2024]
Abstract
Human fungal infections are a historically neglected area of disease research, yet they cause more than 1.5 million deaths every year. Our understanding of the pathophysiology of these infections has increased considerably over the past decade, through major insights into both the host and pathogen factors that contribute to the phenotype and severity of these diseases. Recent studies are revealing multiple mechanisms by which fungi modify and manipulate the host, escape immune surveillance and generate complex comorbidities. Although the emergence of fungal strains that are less susceptible to antifungal drugs or that rapidly evolve drug resistance is posing new threats, greater understanding of immune mechanisms and host susceptibility factors is beginning to offer novel immunotherapeutic options for the future. In this Review, we provide a broad and comprehensive overview of the pathobiology of human fungal infections, focusing specifically on pathogens that can cause invasive life-threatening infections, highlighting recent discoveries from the pathogen, host and clinical perspectives. We conclude by discussing key future challenges including antifungal drug resistance, the emergence of new pathogens and new developments in modern medicine that are promoting susceptibility to infection.
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Affiliation(s)
- Gordon D Brown
- Medical Research Council Centre for Medical Mycology, University of Exeter, Exeter, UK.
| | - Elizabeth R Ballou
- Medical Research Council Centre for Medical Mycology, University of Exeter, Exeter, UK
| | - Steven Bates
- Medical Research Council Centre for Medical Mycology, University of Exeter, Exeter, UK
| | - Elaine M Bignell
- Medical Research Council Centre for Medical Mycology, University of Exeter, Exeter, UK
| | - Andrew M Borman
- Medical Research Council Centre for Medical Mycology, University of Exeter, Exeter, UK
| | - Alexandra C Brand
- Medical Research Council Centre for Medical Mycology, University of Exeter, Exeter, UK
| | - Alistair J P Brown
- Medical Research Council Centre for Medical Mycology, University of Exeter, Exeter, UK
| | - Carolina Coelho
- Medical Research Council Centre for Medical Mycology, University of Exeter, Exeter, UK
| | - Peter C Cook
- Medical Research Council Centre for Medical Mycology, University of Exeter, Exeter, UK
| | - Rhys A Farrer
- Medical Research Council Centre for Medical Mycology, University of Exeter, Exeter, UK
| | - Nelesh P Govender
- Medical Research Council Centre for Medical Mycology, University of Exeter, Exeter, UK
| | - Neil A R Gow
- Medical Research Council Centre for Medical Mycology, University of Exeter, Exeter, UK
| | - William Hope
- Medical Research Council Centre for Medical Mycology, University of Exeter, Exeter, UK
| | - J Claire Hoving
- Medical Research Council Centre for Medical Mycology, University of Exeter, Exeter, UK
| | - Rachael Dangarembizi
- Medical Research Council Centre for Medical Mycology, University of Exeter, Exeter, UK
| | - Thomas S Harrison
- Medical Research Council Centre for Medical Mycology, University of Exeter, Exeter, UK
| | - Elizabeth M Johnson
- Medical Research Council Centre for Medical Mycology, University of Exeter, Exeter, UK
| | - Liliane Mukaremera
- Medical Research Council Centre for Medical Mycology, University of Exeter, Exeter, UK
| | - Mark Ramsdale
- Medical Research Council Centre for Medical Mycology, University of Exeter, Exeter, UK
| | | | - Jane Usher
- Medical Research Council Centre for Medical Mycology, University of Exeter, Exeter, UK
| | - Adilia Warris
- Medical Research Council Centre for Medical Mycology, University of Exeter, Exeter, UK
| | - Duncan Wilson
- Medical Research Council Centre for Medical Mycology, University of Exeter, Exeter, UK
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Garmendia J, Cebollero‐Rivas P. Environmental exposures, the oral-lung axis and respiratory health: The airway microbiome goes on stage for the personalized management of human lung function. Microb Biotechnol 2024; 17:e14506. [PMID: 38881505 PMCID: PMC11180993 DOI: 10.1111/1751-7915.14506] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2024] [Revised: 05/19/2024] [Accepted: 05/24/2024] [Indexed: 06/18/2024] Open
Abstract
The human respiratory system is constantly exposed to environmental stimuli, sometimes including toxicants, which can trigger dysregulated lung immune responses that lead to respiratory symptoms, impaired lung function and airway diseases. Evidence supports that the microbiome in the lungs has an indispensable role in respiratory health and disease, acting as a local gatekeeper that mediates the interaction between the environmental cues and respiratory health. Moreover, the microbiome in the lungs is intimately intertwined with the oral microbiome through the oral-lung axis. Here, we discuss the intricate three-way relationship between (i) cigarette smoking, which has strong effects on the microbial community structure of the lung; (ii) microbiome dysbiosis and disease in the oral cavity; and (iii) microbiome dysbiosis in the lung and its causal role in patients suffering chronic obstructive pulmonary disease (COPD), a leading cause of morbidity and mortality worldwide. We highlight exciting outcomes arising from recently established interactions in the airway between environmental exposures, microbiome, metabolites-functional attributes and the host, as well as how these associations have the potential to predict the respiratory health status of the host through an airway microbiome health index. For completion, we argue that incorporating (synthetic) microbial community ecology in our contemporary understanding of lung disease presents challenges and also rises novel opportunities to exploit the oral-lung axis and its microbiome towards innovative airway disease diagnostics, prognostics, patient stratification and microbiota-targeted clinical interventions in the context of current therapies.
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Affiliation(s)
- Junkal Garmendia
- Instituto de AgrobiotecnologíaConsejo Superior de Investigaciones Científicas (IdAB‐CSIC)‐Gobierno de NavarraMutilvaSpain
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES)MadridSpain
| | - Pilar Cebollero‐Rivas
- Servicio de NeumologíaHospital Universitario de NavarraNavarraSpain
- Universidad Pública de Navarra (UPNa)NavarraSpain
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Yang J, Li J, Zhang L, Shen Z, Xiao Y, Zhang G, Chen M, Chen F, Liu L, Wang Y, Chen L, Wang X, Zhang L, Wang L, Wang Z, Wang J, Li M, Ren L. Highly diverse sputum microbiota correlates with the disease severity in patients with community-acquired pneumonia: a longitudinal cohort study. Respir Res 2024; 25:223. [PMID: 38811936 PMCID: PMC11137881 DOI: 10.1186/s12931-024-02821-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Accepted: 04/24/2024] [Indexed: 05/31/2024] Open
Abstract
BACKGROUND Community-acquired pneumonia (CAP) is a common and serious condition that can be caused by a variety of pathogens. However, much remains unknown about how these pathogens interact with the lower respiratory commensals, and whether any correlation exists between the dysbiosis of the lower respiratory microbiota and disease severity and prognosis. METHODS We conducted a retrospective cohort study to investigate the composition and dynamics of sputum microbiota in patients diagnosed with CAP. In total, 917 sputum specimens were collected consecutively from 350 CAP inpatients enrolled in six hospitals following admission. The V3-V4 region of the 16 S rRNA gene was then sequenced. RESULTS The sputum microbiota in 71% of the samples were predominately composed of respiratory commensals. Conversely, 15% of the samples demonstrated dominance by five opportunistic pathogens. Additionally, 5% of the samples exhibited sterility, resembling the composition of negative controls. Compared to non-severe CAP patients, severe cases exhibited a more disrupted sputum microbiota, characterized by the highly dominant presence of potential pathogens, greater deviation from a healthy state, more significant alterations during hospitalization, and sparser bacterial interactions. The sputum microbiota on admission demonstrated a moderate prediction of disease severity (AUC = 0.74). Furthermore, different pathogenic infections were associated with specific microbiota alterations. Acinetobacter and Pseudomonas were more abundant in influenza A infections, with Acinetobacter was also enriched in Klebsiella pneumoniae infections. CONCLUSION Collectively, our study demonstrated that pneumonia may not consistently correlate with severe dysbiosis of the respiratory microbiota. Instead, the degree of microbiota dysbiosis was correlated with disease severity in CAP patients.
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Affiliation(s)
- Jing Yang
- Beijing Institute of Genomics, Chinese Academy of Sciences, China National Center for Bioinformation, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
- Changping Laboratory, Beijing, 102206, China
| | - Jinman Li
- NHC Key Laboratory of Systems Biology of Pathogens and Christophe Mérieux Laboratory, National Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China
| | - Linfeng Zhang
- Beijing Institute of Genomics, Chinese Academy of Sciences, China National Center for Bioinformation, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Zijie Shen
- Beijing Institute of Genomics, Chinese Academy of Sciences, China National Center for Bioinformation, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Yan Xiao
- NHC Key Laboratory of Systems Biology of Pathogens and Christophe Mérieux Laboratory, National Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China
- Key Laboratory of Respiratory Disease Pathogenomics, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China
- State Key Laboratory of Respiratory Health and Multimorbidity, National Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China
| | - Guoliang Zhang
- Shenzhen Third People's Hospital, Shenzhen, 518112, China
| | - Mingwei Chen
- The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, China
| | - Fuhui Chen
- The Second Affiliated Hospital of Harbin Medical University, Harbin, 150001, China
| | - Ling Liu
- Jiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, School of Medicine, Zhongda Hospital, Southeast University, Nanjing, 210009, China
| | - Ying Wang
- NHC Key Laboratory of Systems Biology of Pathogens and Christophe Mérieux Laboratory, National Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China
| | - Lan Chen
- NHC Key Laboratory of Systems Biology of Pathogens and Christophe Mérieux Laboratory, National Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China
- Key Laboratory of Respiratory Disease Pathogenomics, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China
| | - Xinming Wang
- NHC Key Laboratory of Systems Biology of Pathogens and Christophe Mérieux Laboratory, National Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China
- Key Laboratory of Respiratory Disease Pathogenomics, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China
| | - Li Zhang
- Beijing Institute of Genomics, Chinese Academy of Sciences, China National Center for Bioinformation, Beijing, 100101, China
| | - Lu Wang
- Beijing Institute of Genomics, Chinese Academy of Sciences, China National Center for Bioinformation, Beijing, 100101, China
| | - Zhang Wang
- Institute of Ecological Sciences, South China Normal University, Guangzhou, 510631, China
| | - Jianwei Wang
- NHC Key Laboratory of Systems Biology of Pathogens and Christophe Mérieux Laboratory, National Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China.
- Key Laboratory of Respiratory Disease Pathogenomics, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China.
| | - Mingkun Li
- Beijing Institute of Genomics, Chinese Academy of Sciences, China National Center for Bioinformation, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
| | - Lili Ren
- NHC Key Laboratory of Systems Biology of Pathogens and Christophe Mérieux Laboratory, National Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China.
- Key Laboratory of Respiratory Disease Pathogenomics, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China.
- State Key Laboratory of Respiratory Health and Multimorbidity, National Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China.
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9
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Dai S, Wang Z, Cai M, Guo T, Mao S, Yang Y. A multi-omics investigation of the lung injury induced by PM 2.5 at environmental levels via the lung-gut axis. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 926:172027. [PMID: 38552982 DOI: 10.1016/j.scitotenv.2024.172027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Revised: 02/25/2024] [Accepted: 03/25/2024] [Indexed: 04/05/2024]
Abstract
Long-term exposure to fine particulate matter (PM2.5) posed injury for gastrointestinal and respiratory systems, ascribing with the lung-gut axis. However, the cross-talk mechanisms remain unclear. Here, we attempted to establish the response networks of lung-gut axis in mice exposed to PM2.5 at environmental levels. Male Balb/c mice were exposed to PM2.5 (dose of 0.1, 0.5, and 1.0 mg/kg) collected from Chengdu, China for 10 weeks, through intratracheally instillation, and examined the effect of PM2.5 on lung functions of mice. The changes of lung and gut microbiota and metabolic profiles of mice in different groups were determined. Furthermore, the results of multi-omics were conjointly analyzed to elucidate the primary microbes and the associated metabolites in lung and gut responsible for PM2.5 exposure. Accordingly, the cross-talk network and key pathways between lung-gut axis were established. The results indicated that exposed to PM2.5 0.1 mg/kg induced obvious inflammations in mice lung, while emphysema was observed at 1.0 mg/kg. The levels of metabolites guanosine, hypoxanthine, and hepoxilin B3 increased in the lung might contribute to lung inflammations in exposure groups. For microbiotas in lung, PM2.5 exposure significantly declined the proportions of Halomonas and Lactobacillus. Meanwhile, the metabolites in gut including L-tryptophan, serotonin, and spermidine were up-regulated in exposure groups, which were linked to the decreasing of Oscillospira and Helicobacter in gut. Via lung-gut axis, the activations of pathways including Tryptophan metabolism, ABC transporters, Serotonergic synapse, and Linoleic acid metabolism contributed to the cross-talk between lung and gut tissues of mice mediated by PM2.5. In summary, the microbes including Lactobacillus, Oscillospira, and Parabacteroides, and metabolites including hepoxilin B3, guanosine, hypoxanthine, L-tryptophan, and spermidine were the main drivers. In this lung-gut axis study, we elucidated some pro- and pre-biotics in lung and gut microenvironments contributed to the adverse effects on lung functions induced by PM2.5 exposure.
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Affiliation(s)
- Shuiping Dai
- National Center for Geriatrics Clinical Medicine Research, Department of Geriatrics and Gerontology, West China Hospital, Sichuan University, Chengdu 610041, PR China
| | - Zhenglu Wang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, PR China.
| | - Min Cai
- Eco-environmental Protection Institute, Shanghai Academy of Agricultural Science, Shanghai 201403, PR China
| | - Tingting Guo
- Institute of Respiratory Health, West China Hospital, Sichuan University, Chengdu 610041, PR China
| | - Shengqiang Mao
- Institute of Respiratory Health, West China Hospital, Sichuan University, Chengdu 610041, PR China
| | - Ying Yang
- Institute of Respiratory Health, West China Hospital, Sichuan University, Chengdu 610041, PR China
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10
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Xia H, Lin J, Wang Y, Yu J, Wang H, Cheng C, Yang Y, Bian T, Wu Y, Liu Q. Stenotrophomonas maltophilia contributes to smoking-related emphysema through IRF1-triggered PANoptosis of alveolar epithelial cells. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 349:123913. [PMID: 38582189 DOI: 10.1016/j.envpol.2024.123913] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Revised: 03/18/2024] [Accepted: 03/31/2024] [Indexed: 04/08/2024]
Abstract
Cigarette smoke (CS), the main source of indoor air pollution and the primary risk factor for respiratory diseases, contains chemicals that can perturb microbiota through antibiotic effects. Although smoking induces a disturbance of microbiota in the lower respiratory tract, whether and how it contributes to initiation or promotion of emphysema are not well clarified. Here, we demonstrated an aberrant microbiome in lung tissue of patients with smoking-related COPD. We found that Stenotrophomonas maltophilia (S. maltophilia) was expanded in lung tissue of patients with smoking-related COPD. We revealed that S. maltophilia drives PANoptosis in alveolar epithelial cells and represses formation of alveolar organoids through IRF1 (interferon regulatory factor 1). Mechanistically, IRF1 accelerated transcription of ZBP1 (Z-DNA Binding Protein 1) in S. maltophilia-infected alveolar epithelial cells. Elevated ZBP1 served as a component of the PANoptosome, which triggered PANoptosis in these cells. By using of alveolar organoids infected by S. maltophilia, we found that targeting of IRF1 mitigated S. maltophilia-induced injury of these organoids. Moreover, the expansion of S. maltophilia and the expression of IRF1 negatively correlated with the progression of emphysema. Thus, the present study provides insights into the mechanism of lung dysbiosis in smoking-related COPD, and presents a potential target for mitigation of COPD progression.
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Affiliation(s)
- Haibo Xia
- School of Public Health, Southeast University, Nanjing, 210009, Jiangsu, People's Republic of China; Center for Global Health, The Key Laboratory of Modern Toxicology, Ministry of Education, School of Public Health, Suzhou Institute of Public Health, Gusu School, Nanjing Medical University, Nanjing, 211166, Jiangsu, People's Republic of China
| | - Jiaheng Lin
- Center for Global Health, The Key Laboratory of Modern Toxicology, Ministry of Education, School of Public Health, Suzhou Institute of Public Health, Gusu School, Nanjing Medical University, Nanjing, 211166, Jiangsu, People's Republic of China
| | - Yue Wang
- Center for Global Health, The Key Laboratory of Modern Toxicology, Ministry of Education, School of Public Health, Suzhou Institute of Public Health, Gusu School, Nanjing Medical University, Nanjing, 211166, Jiangsu, People's Republic of China
| | - Jinyan Yu
- The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center, Nanjing Medical University, Wuxi, 214023, Jiangsu, People's Republic of China
| | - Hailan Wang
- Center for Global Health, The Key Laboratory of Modern Toxicology, Ministry of Education, School of Public Health, Suzhou Institute of Public Health, Gusu School, Nanjing Medical University, Nanjing, 211166, Jiangsu, People's Republic of China
| | - Cheng Cheng
- Center for Global Health, The Key Laboratory of Modern Toxicology, Ministry of Education, School of Public Health, Suzhou Institute of Public Health, Gusu School, Nanjing Medical University, Nanjing, 211166, Jiangsu, People's Republic of China
| | - Yi Yang
- Center for Global Health, The Key Laboratory of Modern Toxicology, Ministry of Education, School of Public Health, Suzhou Institute of Public Health, Gusu School, Nanjing Medical University, Nanjing, 211166, Jiangsu, People's Republic of China
| | - Tao Bian
- The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center, Nanjing Medical University, Wuxi, 214023, Jiangsu, People's Republic of China
| | - Yan Wu
- The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center, Nanjing Medical University, Wuxi, 214023, Jiangsu, People's Republic of China
| | - Qizhan Liu
- School of Public Health, Southeast University, Nanjing, 210009, Jiangsu, People's Republic of China; Center for Global Health, The Key Laboratory of Modern Toxicology, Ministry of Education, School of Public Health, Suzhou Institute of Public Health, Gusu School, Nanjing Medical University, Nanjing, 211166, Jiangsu, People's Republic of China.
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11
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Gao J, Yang Y, Xiang X, Zheng H, Yi X, Wang F, Liang Z, Chen D, Shi W, Wang L, Wu D, Feng S, Huang Q, Li X, Shu W, Chen R, Zhong N, Wang Z. Human genetic associations of the airway microbiome in chronic obstructive pulmonary disease. Respir Res 2024; 25:165. [PMID: 38622589 DOI: 10.1186/s12931-024-02805-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Accepted: 04/04/2024] [Indexed: 04/17/2024] Open
Abstract
Little is known about the relationships between human genetics and the airway microbiome. Deeply sequenced airway metagenomics, by simultaneously characterizing the microbiome and host genetics, provide a unique opportunity to assess the microbiome-host genetic associations. Here we performed a co-profiling of microbiome and host genetics with the identification of over 5 million single nucleotide polymorphisms (SNPs) through deep metagenomic sequencing in sputum of 99 chronic obstructive pulmonary disease (COPD) and 36 healthy individuals. Host genetic variation was the most significant factor associated with the microbiome except for geography and disease status, with its top 5 principal components accounting for 12.11% of the microbiome variability. Within COPD individuals, 113 SNPs mapped to candidate genes reported as genetically associated with COPD exhibited associations with 29 microbial species and 48 functional modules (P < 1 × 10-5), where Streptococcus salivarius exhibits the strongest association to SNP rs6917641 in TBC1D32 (P = 9.54 × 10-8). Integration of concurrent host transcriptomic data identified correlations between the expression of host genes and their genetically-linked microbiome features, including NUDT1, MAD1L1 and Veillonella parvula, TTLL9 and Stenotrophomonas maltophilia, and LTA4H and Haemophilus influenzae. Mendelian randomization analyses revealed a potential causal link between PARK7 expression and microbial type III secretion system, and a genetically-mediated association between COPD and increased relative abundance of airway Streptococcus intermedius. These results suggest a previously underappreciated role of host genetics in shaping the airway microbiome and provide fresh hypotheses for genetic-based host-microbiome interactions in COPD.
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Affiliation(s)
- Jingyuan Gao
- Institute of Ecological Sciences, School of Life Sciences, South China Normal University, Guangzhou, Guangdong Province, China
| | - Yuqiong Yang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong Province, China
| | - Xiaopeng Xiang
- The Hong Kong Polytechnic University, Hong Kong, Hung Hom Kowloon, China
| | - Huimin Zheng
- Department of Obstetrics and Gynecology, The First People's Hospital of Foshan, Foshan, Guangdong Province, China
| | - Xinzhu Yi
- Institute of Ecological Sciences, School of Life Sciences, South China Normal University, Guangzhou, Guangdong Province, China
| | - Fengyan Wang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong Province, China
| | - Zhenyu Liang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong Province, China
| | - Dandan Chen
- Department of Pulmonary and Critical Care Medicine, Shenzhen Institute of Respiratory Diseases, Shenzhen People's Hospital, The Second Clinical Medical College, Jinan University, The First Affiliated Hospital, Southern University of Science and Technology, Shenzhen, Guangdong Province, China
| | - Weijuan Shi
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong Province, China
| | - Lingwei Wang
- Department of Pulmonary and Critical Care Medicine, Shenzhen Institute of Respiratory Diseases, Shenzhen People's Hospital, The Second Clinical Medical College, Jinan University, The First Affiliated Hospital, Southern University of Science and Technology, Shenzhen, Guangdong Province, China
| | - Di Wu
- Department of Pulmonary and Critical Care Medicine, Shenzhen Institute of Respiratory Diseases, Shenzhen People's Hospital, The Second Clinical Medical College, Jinan University, The First Affiliated Hospital, Southern University of Science and Technology, Shenzhen, Guangdong Province, China
| | - Shengchuan Feng
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong Province, China
| | - Qiaoyun Huang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong Province, China
| | - Xueping Li
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong Province, China
| | - Wensheng Shu
- Institute of Ecological Sciences, School of Life Sciences, South China Normal University, Guangzhou, Guangdong Province, China.
| | - Rongchang Chen
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong Province, China.
- Department of Pulmonary and Critical Care Medicine, Shenzhen Institute of Respiratory Diseases, Shenzhen People's Hospital, The Second Clinical Medical College, Jinan University, The First Affiliated Hospital, Southern University of Science and Technology, Shenzhen, Guangdong Province, China.
| | - Nanshan Zhong
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong Province, China.
| | - Zhang Wang
- Institute of Ecological Sciences, Biomedical Research Center, School of Life Sciences, State Key Laboratory of Respiratory Disease, South China Normal University, Guangzhou, Guangdong Province, China.
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12
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Mac Aogáin M, Tiew PY, Jaggi TK, Narayana JK, Singh S, Hansbro PM, Segal LN, Chotirmall SH. Targeting respiratory microbiomes in COPD and bronchiectasis. Expert Rev Respir Med 2024; 18:111-125. [PMID: 38743428 DOI: 10.1080/17476348.2024.2355155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Accepted: 05/10/2024] [Indexed: 05/16/2024]
Abstract
INTRODUCTION This review summarizes our current understanding of the respiratory microbiome in COPD and Bronchiectasis. We explore the interplay between microbial communities, host immune responses, disease pathology, and treatment outcomes. AREAS COVERED We detail the dynamics of the airway microbiome, its influence on chronic respiratory diseases, and analytical challenges. Relevant articles from PubMed and Medline (January 2010-March 2024) were retrieved and summarized. We examine clinical correlations of the microbiome in COPD and bronchiectasis, assessing how current therapies impact upon it. The potential of emerging immunotherapies, antiinflammatories and antimicrobial strategies is discussed, with focus on the pivotal role of commensal taxa in maintaining respiratory health and the promising avenue of microbiome remodeling for disease management. EXPERT OPINION Given the heterogeneity in microbiome composition and its pivotal role in disease development and progression, a shift toward microbiome-directed therapeutics is appealing. This transition, from traditional 'pathogencentric' diagnostic and treatment modalities to those acknowledging the microbiome, can be enabled by evolving crossdisciplinary platforms which have the potential to accelerate microbiome-based interventions into routine clinical practice. Bridging the gap between comprehensive microbiome analysis and clinical application, however, remains challenging, necessitating continued innovation in research, diagnostics, trials, and therapeutic development pipelines.
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Affiliation(s)
- Micheál Mac Aogáin
- Department of Biochemistry, St. James's Hospital, Dublin, Ireland
- School of Medicine, Trinity College Dublin, Dublin, Ireland
| | - Pei Yee Tiew
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
- Department of Respiratory and Critical Care Medicine, Singapore General Hospital, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | - Tavleen Kaur Jaggi
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
| | | | - Shivani Singh
- Division of Pulmonary Critical Care & Sleep Medicine, Department of Medicine, New York University School of Medicine, New York, NY, USA
| | - Philip M Hansbro
- Centre for Inflammation, Centenary Institute and University of Technology Sydney, Faculty of Science, School of Life Sciences, Sydney, Australia
| | - Leopoldo N Segal
- Division of Pulmonary Critical Care & Sleep Medicine, Department of Medicine, New York University School of Medicine, New York, NY, USA
| | - Sanjay H Chotirmall
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
- Department of Respiratory and Critical Care Medicine, Tan Tock Seng Hospital, Singapore
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13
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Sun W, Zhou T, Ding P, Guo L, Zhou X, Long K. Bibliometric analysis of intestinal microbiota and lung diseases. Front Cell Infect Microbiol 2024; 14:1347110. [PMID: 38426014 PMCID: PMC10902173 DOI: 10.3389/fcimb.2024.1347110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Accepted: 01/09/2024] [Indexed: 03/02/2024] Open
Abstract
Background Increasing evidence suggests a close association between the intestinal microbiome and the respiratory system, drawing attention to studying the gut-lung axis. This research employs bibliometric methods to conduct a visual analysis of literature in the field of intestinal microbiota and lung diseases over the past two decades. It offers scientific foundations for research directions and critical issues in this field. Methods We retrieved all articles on intestinal microbiota and lung diseases from the SCI-Expanded of WoSCC on October 25, 2023. The analysis included original articles and reviews published in English from 2011 to 2023. We utilized Python, VOSviewer, and CiteSpace to analyze the retrieved data visually. Results A total of 794 publications were analyzed. China ranked first in the number of publications, while the United States had the highest citations and H-index. Jian Wang was the most prolific author. Zhejiang University was the institution with the highest number of publications. Frontiers in Microbiology was the journal with the most publications. Author keywords appearing more than 100 times included "intestinal microbiota/microbiome", "microbiota/microbiome", and "gut-lung axis". Conclusion The correlation and underlying mechanisms between intestinal microbiota and lung diseases, including asthma, COPD, lung cancer, and respiratory infections, remain hot topics in research. However, understanding the mechanisms involving the gut-lung axis is still in its infancy and requires further elucidation.
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Affiliation(s)
- Weiting Sun
- Department of Critical Care Medicine, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Tong Zhou
- School of Clinical Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Peng Ding
- Department of Critical Care Medicine, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Liuxue Guo
- Department of Critical Care Medicine, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Xiujuan Zhou
- Department of Critical Care Medicine, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Kunlan Long
- Department of Critical Care Medicine, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China
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14
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Gangneux JP, Rhodes JL, Papon N. Airway microbiome: environmental exposure-respiratory health nexus. Trends Mol Med 2023; 29:875-877. [PMID: 37690859 DOI: 10.1016/j.molmed.2023.08.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 08/27/2023] [Accepted: 08/28/2023] [Indexed: 09/12/2023]
Abstract
Toxicants such as smoke, biofuel, and pollutants constantly challenge our respiratory health, but little is known about the pathophysiological processes involved. In a new report, Lin et al. provide evidence that our bacterial and fungal lung populations orchestrate the interplay between environmental exposure and lung functions, thereby conditioning health outcomes.
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Affiliation(s)
- Jean-Pierre Gangneux
- Univ Rennes, CHU Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, F-35000 Rennes, France; Laboratory of Parasitology and Medical Mycology, European Confederation of Medical Mycology (ECMM) Excellence Center, Centre National de Référence Aspergilloses Chroniques, Rennes Teaching Hospital, F-35000 Rennes, France.
| | - Johanna L Rhodes
- MRC Centre for Global Infectious Disease Analysis, Imperial College School of Public Health, Imperial College London, South Kensington, London SW7 2BX, UK; Department of Medical Microbiology, Radboudumc, Nijmegen, The Netherlands.
| | - Nicolas Papon
- Univ Angers, Univ Brest, IRF, SFR ICAT, F-49000 Angers, France
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15
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Gao J, Yi X, Wang Z. The application of multi-omics in the respiratory microbiome: Progresses, challenges and promises. Comput Struct Biotechnol J 2023; 21:4933-4943. [PMID: 37867968 PMCID: PMC10585227 DOI: 10.1016/j.csbj.2023.10.016] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Revised: 10/10/2023] [Accepted: 10/10/2023] [Indexed: 10/24/2023] Open
Abstract
The study of the respiratory microbiome has entered a multi-omic era. Through integrating different omic data types such as metagenome, metatranscriptome, metaproteome, metabolome, culturome and radiome surveyed from respiratory specimens, holistic insights can be gained on the lung microbiome and its interaction with host immunity and inflammation in respiratory diseases. The power of multi-omics have moved the field forward from associative assessment of microbiome alterations to causative understanding of the lung microbiome in the pathogenesis of chronic, acute and other types of respiratory diseases. However, the application of multi-omics in respiratory microbiome remains with unique challenges from sample processing, data integration, and downstream validation. In this review, we first introduce the respiratory sample types and omic data types applicable to studying the respiratory microbiome. We next describe approaches for multi-omic integration, focusing on dimensionality reduction, multi-omic association and prediction. We then summarize progresses in the application of multi-omics to studying the microbiome in respiratory diseases. We finally discuss current challenges and share our thoughts on future promises in the field.
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Affiliation(s)
- Jingyuan Gao
- Institute of Ecological Sciences, School of Life Sciences, South China Normal University, Guangzhou, Guangdong Province, China
| | - Xinzhu Yi
- Institute of Ecological Sciences, School of Life Sciences, South China Normal University, Guangzhou, Guangdong Province, China
| | - Zhang Wang
- Institute of Ecological Sciences, School of Life Sciences, South China Normal University, Guangzhou, Guangdong Province, China
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16
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Yi X, Cai H, Gao J, Wang Z. Environmental exposure, airway microbiome and respiratory health: You are what you breathe. Clin Transl Med 2023; 13:e1394. [PMID: 37649131 PMCID: PMC10468564 DOI: 10.1002/ctm2.1394] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Accepted: 08/21/2023] [Indexed: 09/01/2023] Open
Affiliation(s)
- Xinzhu Yi
- Institute of Ecological Sciences, School of Life SciencesSouth China Normal UniversityGuangzhouChina
| | - Hanqin Cai
- Institute of Ecological Sciences, School of Life SciencesSouth China Normal UniversityGuangzhouChina
| | - Jingyuan Gao
- Institute of Ecological Sciences, School of Life SciencesSouth China Normal UniversityGuangzhouChina
| | - Zhang Wang
- Institute of Ecological Sciences, School of Life SciencesSouth China Normal UniversityGuangzhouChina
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17
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Liu C, Liu C, Zhang P, Tian M, Zhao K, He F, Dong Y, Liu H, Peng W, Jia X, Yu Y. Association of greenness with the disease burden of lower respiratory infections and mediation effects of air pollution and heat: a global ecological study. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:91971-91983. [PMID: 37481494 DOI: 10.1007/s11356-023-28816-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 07/12/2023] [Indexed: 07/24/2023]
Abstract
Exposure to greenness is increasingly linked to beneficial health outcomes, but the associations between greenness and the disease burden of lower respiratory infections (LRIs) are unclear. We used the normalized difference vegetation index (NDVI) and the leaf area index (LAI) to measure greenness and incidence, death, and disability-adjusted life years (DALYs) due to LRIs to represent the disease burden of LRIs. We applied a generalized linear mixed model to evaluate the association between greenness and LRI disease burden and performed a stratified analysis, after adjusting for covariates. Additionally, we assessed the potential mediating effects of fine particulate matter (PM2.5), ozone (O3), nitrogen dioxide (NO2), and heat on the association between greenness and the disease burden of LRIs. In the adjusted model, one 0.1 unit increase of NDVI and 0.5 increase in LAI were significantly inversely associated with incidence, death, and DALYs due to LRIs, respectively. Greenness was negatively correlated with the disease burden of LRIs across 15-65 age group, both sexes, and low SDI groups. PM2.5, O3, and heat mediated the effects of greenness on the disease burden of LRIs. Greenness was significantly negatively associated with the disease burden of LRIs, possibly by reducing exposure to air pollution and heat.
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Affiliation(s)
- Chengrong Liu
- Department of Epidemiology and Statistics, Bengbu Medical College, 2600 Dong Hai Avenue, Bengbu, 233030, China
| | - Chao Liu
- Department of Epidemiology and Statistics, Bengbu Medical College, 2600 Dong Hai Avenue, Bengbu, 233030, China
| | - Peiyao Zhang
- Department of Epidemiology and Statistics, Bengbu Medical College, 2600 Dong Hai Avenue, Bengbu, 233030, China
| | - Meihui Tian
- Department of Epidemiology and Statistics, Bengbu Medical College, 2600 Dong Hai Avenue, Bengbu, 233030, China
| | - Ke Zhao
- Department of Epidemiology and Statistics, Bengbu Medical College, 2600 Dong Hai Avenue, Bengbu, 233030, China
| | - Fenfen He
- Department of Epidemiology and Statistics, Bengbu Medical College, 2600 Dong Hai Avenue, Bengbu, 233030, China
| | - Yilin Dong
- Department of Epidemiology and Statistics, Bengbu Medical College, 2600 Dong Hai Avenue, Bengbu, 233030, China
| | - Haoyu Liu
- Department of Epidemiology and Statistics, Bengbu Medical College, 2600 Dong Hai Avenue, Bengbu, 233030, China
| | - Wenjia Peng
- School of Public Health, Fudan University, Shanghai, China
| | - Xianjie Jia
- Department of Epidemiology and Statistics, Bengbu Medical College, 2600 Dong Hai Avenue, Bengbu, 233030, China
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China
| | - Ying Yu
- Department of Physiology, Bengbu Medical College, 2600 Dong Hai Avenue, Bengbu, 233030, China.
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