1
|
Conradie T, Caparros-Martin JA, Egan S, Kicic A, Koks S, Stick SM, Agudelo-Romero P. Exploring the Complexity of the Human Respiratory Virome through an In Silico Analysis of Shotgun Metagenomic Data Retrieved from Public Repositories. Viruses 2024; 16:953. [PMID: 38932245 PMCID: PMC11209621 DOI: 10.3390/v16060953] [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: 03/21/2024] [Revised: 05/31/2024] [Accepted: 06/05/2024] [Indexed: 06/28/2024] Open
Abstract
BACKGROUND Respiratory viruses significantly impact global morbidity and mortality, causing more disease in humans than any other infectious agent. Beyond pathogens, various viruses and bacteria colonize the respiratory tract without causing disease, potentially influencing respiratory diseases' pathogenesis. Nevertheless, our understanding of respiratory microbiota is limited by technical constraints, predominantly focusing on bacteria and neglecting crucial populations like viruses. Despite recent efforts to improve our understanding of viral diversity in the human body, our knowledge of viral diversity associated with the human respiratory tract remains limited. METHODS Following a comprehensive search in bibliographic and sequencing data repositories using keyword terms, we retrieved shotgun metagenomic data from public repositories (n = 85). After manual curation, sequencing data files from 43 studies were analyzed using EVEREST (pipEline for Viral assEmbly and chaRactEriSaTion). Complete and high-quality contigs were further assessed for genomic and taxonomic characterization. RESULTS Viral contigs were obtained from 194 out of the 868 FASTQ files processed through EVEREST. Of the 1842 contigs that were quality assessed, 8% (n = 146) were classified as complete/high-quality genomes. Most of the identified viral contigs were taxonomically classified as bacteriophages, with taxonomic resolution ranging from the superkingdom level down to the species level. Captured contigs were spread across 25 putative families and varied between RNA and DNA viruses, including previously uncharacterized viral genomes. Of note, airway samples also contained virus(es) characteristic of the human gastrointestinal tract, which have not been previously described as part of the lung virome. Additionally, by performing a meta-analysis of the integrated datasets, ecological trends within viral populations linked to human disease states and their biogeographical distribution along the respiratory tract were observed. CONCLUSION By leveraging publicly available repositories of shotgun metagenomic data, the present study provides new insights into viral genomes associated with specimens from the human respiratory tract across different disease spectra. Further studies are required to validate our findings and evaluate the potential impact of these viral communities on respiratory tract physiology.
Collapse
Affiliation(s)
- Talya Conradie
- Wal-Yan Respiratory Research Centre, Telethon Kids Institute, Perth, WA 6009, Australia
- Medical, Molecular and Forensic Sciences, Murdoch University, Perth, WA 6150, Australia
| | | | - Siobhon Egan
- Medical, Molecular and Forensic Sciences, Murdoch University, Perth, WA 6150, Australia
- Centre for Computational and Systems Medicine, Health Future Institute, Murdoch University, Perth, WA 6150, Australia
| | - Anthony Kicic
- Wal-Yan Respiratory Research Centre, Telethon Kids Institute, Perth, WA 6009, Australia
- Department of Respiratory and Sleep Medicine, Perth Children’s Hospital for Children, Perth, WA 6009, Australia
- Centre for Cell Therapy and Regenerative Medicine, School of Medicine and Pharmacology, Perth, WA 6009, Australia
- School of Population Health, Curtin University, Perth, WA 6102, Australia
| | - Sulev Koks
- Perron Institute for Neurological and Translational Science, Perth, WA 6009, Australia
- Centre for Molecular Medicine and Innovative Therapeutics, Murdoch University, Perth, WA 6150, Australia
| | - Stephen M. Stick
- Department of Respiratory and Sleep Medicine, Perth Children’s Hospital for Children, Perth, WA 6009, Australia
- Centre for Cell Therapy and Regenerative Medicine, School of Medicine and Pharmacology, Perth, WA 6009, Australia
| | - Patricia Agudelo-Romero
- Wal-Yan Respiratory Research Centre, Telethon Kids Institute, Perth, WA 6009, Australia
- Australian Research Council Centre of Excellence in Plant Energy Biology, School of Molecular Sciences, The University of Western Australia, Perth, WA 6009, Australia
- European Virus Bioinformatics Centre, Friedrich-Schiller-Universitat Jena, 07737 Jena, Germany
| |
Collapse
|
2
|
Kou Z, Liu K, Qiao Z, Wang Y, Li Y, Li Y, Yu X, Han W. The alterations of oral, airway and intestine microbiota in chronic obstructive pulmonary disease: a systematic review and meta-analysis. Front Immunol 2024; 15:1407439. [PMID: 38779669 PMCID: PMC11109405 DOI: 10.3389/fimmu.2024.1407439] [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: 03/26/2024] [Accepted: 04/19/2024] [Indexed: 05/25/2024] Open
Abstract
Background Increasing evidence indicates the microbial ecology of chronic obstructive pulmonary disease (COPD) is intricately associated with the disease's status and severity, and distinct microbial ecological variations exist between COPD and healthy control (HC). This systematic review and meta-analysis aimed to summarize microbial diversity indices and taxa relative abundance of oral, airway, and intestine microbiota of different stages of COPD and HC to make comparisons. Methods A comprehensive systematic literature search was conducted in PubMed, Embase, the Web of Science, and the Cochrane Library databases to identify relevant English articles on the oral, airway, and intestine microbiota in COPD published between 2003 and 8 May 2023. Information on microbial diversity indices and taxa relative abundance of oral, airway, and intestine microbiota was collected for comparison between different stages of COPD and HC. Results A total of 20 studies were included in this review, involving a total of 337 HC participants, 511 COPD patients, and 154 AECOPD patients. We observed that no significant differences in alpha diversity between the participant groups, but beta diversity was significantly different in half of the included studies. Compared to HC, Prevotella, Streptococcus, Actinomyces, and Veillonella of oral microbiota in SCOPD were reduced at the genus level. Most studies supported that Haemophilus, Lactobacillus, and Pseudomonas were increased, but Veillonella, Prevotella, Actinomyces, Porphyromonas, and Atopobium were decreased at the genus level in the airway microbiota of SCOPD. However, the abundance of Haemophilus, Lactobacillus and Pseudomonas genera exhibited an increase, whereas Actinomyces and Porphyromonas showed a decrease in the airway microbiota of AECOPD compared to HC. And Lachnospira of intestine microbiota in SCOPD was reduced at the genus level. Conclusion The majority of published research findings supported that COPD exhibited decreased alpha diversity compared to HC. However, our meta-analysis does not confirm it. In order to further investigate the characteristics and mechanisms of microbiome in the oral-airway- intestine axis of COPD patients, larger-scale and more rigorous studies are needed. Systematic review registration PROSPERO (https://www.crd.york.ac.uk/prospero/), identifier CRD42023418726.
Collapse
Affiliation(s)
- Ziwei Kou
- Department of Medicine, Qingdao University, Qingdao, China
| | - Kai Liu
- Department of Rehabilitation Medicine, Qingdao Municipal Hospital, University of Health and Rehabilitation Sciences, Qingdao, China
| | - Zhengtong Qiao
- School of Rehabilitation Medical, Binzhou Medical University, Yantai, China
| | - Yaoyao Wang
- Department of Medicine, Qingdao University, Qingdao, China
| | - Yanmiao Li
- Department of Medicine, Qingdao University, Qingdao, China
| | - Yinan Li
- Department of Medicine, Qingdao University, Qingdao, China
| | - Xinjuan Yu
- Clinical Research Center, Qingdao Key Laboratory of Common Diseases, Qingdao Municipal Hospital, University of Health and Rehabilitation Sciences, Qingdao, China
| | - Wei Han
- Department of Respiratory and Critical Medicine, Qingdao Key Laboratory of Common Diseases, Qingdao Municipal Hospital, University of Health and Rehabilitation Sciences, Qingdao, China
| |
Collapse
|
3
|
McDermott G, Walsh A, Crispie F, Frost S, Greally P, Cotter PD, O’Sullivan O, Renwick J. Insights into the Adolescent Cystic Fibrosis Airway Microbiome Using Shotgun Metagenomics. Int J Mol Sci 2024; 25:3893. [PMID: 38612702 PMCID: PMC11011389 DOI: 10.3390/ijms25073893] [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: 03/01/2024] [Revised: 03/20/2024] [Accepted: 03/22/2024] [Indexed: 04/14/2024] Open
Abstract
Cystic fibrosis (CF) is an inherited genetic disorder which manifests primarily in airway disease. Recent advances in molecular technologies have unearthed the diverse polymicrobial nature of the CF airway. Numerous studies have characterised the genus-level composition of this airway community using targeted 16S rDNA sequencing. Here, we employed whole-genome shotgun metagenomics to provide a more comprehensive understanding of the early CF airway microbiome. We collected 48 sputum samples from 11 adolescents and children with CF over a 12-month period and performed shotgun metagenomics on the Illumina NextSeq platform. We carried out functional and taxonomic analysis of the lung microbiome at the species and strain levels. Correlations between microbial diversity measures and independent demographic and clinical variables were performed. Shotgun metagenomics detected a greater diversity of bacteria than culture-based methods. A large proportion of the top 25 most-dominant species were anaerobes. Samples dominated by Staphylococcus aureus and Prevotella melaninogenica had significantly higher microbiome diversity, while no CF pathogen was associated with reduced microbial diversity. There was a diverse resistome present in all samples in this study, with 57.8% agreement between shotgun metagenomics and culture-based methods for detection of resistance. Pathogenic sequence types (STs) of S. aureus, Pseudomonas aeruginosa, Haemophilus influenzae and Stenotrophomonas maltophilia were observed to persist in young CF patients, while STs of S. aureus were both persistent and shared between patients. This study provides new insight into the temporal changes in strain level composition of the microbiome and the landscape of the resistome in young people with CF. Shotgun metagenomics could provide a very useful one-stop assay for detecting pathogens, emergence of resistance and conversion to persistent colonisation in early CF disease.
Collapse
Affiliation(s)
- Gillian McDermott
- Trinity Centre for Health Science, Clinical Microbiology Department, School of Medicine, Faculty of Health Science, Trinity College Dublin, Tallaght University Hospital, D24 NR0A Dublin, Ireland;
| | - Aaron Walsh
- Teagasc Food Research Centre, Moorepark, Fermoy, P61 C996 Co Cork, Ireland; (A.W.); (F.C.); (P.D.C.); (O.O.)
- APC Microbiome Ireland, University College Cork, T12 R229 Co Cork, Ireland
| | - Fiona Crispie
- Teagasc Food Research Centre, Moorepark, Fermoy, P61 C996 Co Cork, Ireland; (A.W.); (F.C.); (P.D.C.); (O.O.)
- APC Microbiome Ireland, University College Cork, T12 R229 Co Cork, Ireland
| | - Susanna Frost
- Tallaght University Hospital, Tallaght, D24 NR0 Dublin, Ireland (P.G.)
| | - Peter Greally
- Tallaght University Hospital, Tallaght, D24 NR0 Dublin, Ireland (P.G.)
- Hermitage Medical Clinic, Lucan, D20 W722 Dublin, Ireland
| | - Paul D. Cotter
- Teagasc Food Research Centre, Moorepark, Fermoy, P61 C996 Co Cork, Ireland; (A.W.); (F.C.); (P.D.C.); (O.O.)
- APC Microbiome Ireland, University College Cork, T12 R229 Co Cork, Ireland
| | - Orla O’Sullivan
- Teagasc Food Research Centre, Moorepark, Fermoy, P61 C996 Co Cork, Ireland; (A.W.); (F.C.); (P.D.C.); (O.O.)
- APC Microbiome Ireland, University College Cork, T12 R229 Co Cork, Ireland
| | - Julie Renwick
- Trinity Centre for Health Science, Clinical Microbiology Department, School of Medicine, Faculty of Health Science, Trinity College Dublin, Tallaght University Hospital, D24 NR0A Dublin, Ireland;
| |
Collapse
|
4
|
Cuthbertson L, Löber U, Ish-Horowicz JS, McBrien CN, Churchward C, Parker JC, Olanipekun MT, Burke C, McGowan A, Davies GA, Lewis KE, Hopkin JM, Chung KF, O'Carroll O, Faul J, Creaser-Thomas J, Andrews M, Ghosal R, Piatek S, Willis-Owen SAG, Bartolomaeus TUP, Birkner T, Dwyer S, Kumar N, Turek EM, William Musk A, Hui J, Hunter M, James A, Dumas ME, Filippi S, Cox MJ, Lawley TD, Forslund SK, Moffatt MF, Cookson WOC. Genomic attributes of airway commensal bacteria and mucosa. Commun Biol 2024; 7:171. [PMID: 38347162 PMCID: PMC10861553 DOI: 10.1038/s42003-024-05840-3] [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: 01/30/2023] [Accepted: 01/22/2024] [Indexed: 02/15/2024] Open
Abstract
Microbial communities at the airway mucosal barrier are conserved and highly ordered, in likelihood reflecting co-evolution with human host factors. Freed of selection to digest nutrients, the airway microbiome underpins cognate management of mucosal immunity and pathogen resistance. We show here the initial results of systematic culture and whole-genome sequencing of the thoracic airway bacteria, identifying 52 novel species amongst 126 organisms that constitute 75% of commensals typically present in heathy individuals. Clinically relevant genes encode antimicrobial synthesis, adhesion and biofilm formation, immune modulation, iron utilisation, nitrous oxide (NO) metabolism and sphingolipid signalling. Using whole-genome content we identify dysbiotic features that may influence asthma and chronic obstructive pulmonary disease. We match isolate gene content to transcripts and metabolites expressed late in airway epithelial differentiation, identifying pathways to sustain host interactions with microbiota. Our results provide a systematic basis for decrypting interactions between commensals, pathogens, and mucosa in lung diseases of global significance.
Collapse
Affiliation(s)
- Leah Cuthbertson
- National Heart and Lung Institute, Imperial College London, London, UK
| | - Ulrike Löber
- Max Delbrück Center for Molecular Medicine (MDC), 13125, Berlin, Germany
- Experimental and Clinical Research Center, A Cooperation of Charité-Universitätsmedizin Berlin and Max Delbrück Center for Molecular Medicine, Lindenberger Weg 80, 13125, Berlin, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site, 10785, Berlin, Germany
- Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 10117, Berlin, Germany
| | - Jonathan S Ish-Horowicz
- National Heart and Lung Institute, Imperial College London, London, UK
- Department of Mathematics, Imperial College London, London, UK
| | - Claire N McBrien
- National Heart and Lung Institute, Imperial College London, London, UK
| | - Colin Churchward
- National Heart and Lung Institute, Imperial College London, London, UK
| | - Jeremy C Parker
- National Heart and Lung Institute, Imperial College London, London, UK
| | | | - Conor Burke
- Department of Respiratory Medicine, Connolly Hospital, Dublin, Ireland
| | - Aisling McGowan
- Department of Respiratory Medicine, Connolly Hospital, Dublin, Ireland
| | - Gwyneth A Davies
- Population Data Science and Health Data Research UK BREATHE Hub, Swansea University Medical School, Swansea University, Swansea, UK
- College of Medicine, Institute of Life Science, Swansea University, Swansea, UK
| | - Keir E Lewis
- College of Medicine, Institute of Life Science, Swansea University, Swansea, UK
- Respiratory Medicine, Hywel Dda University Health Board, Llanelli, UK
| | - Julian M Hopkin
- College of Medicine, Institute of Life Science, Swansea University, Swansea, UK
| | - Kian Fan Chung
- National Heart and Lung Institute, Imperial College London, London, UK
| | - Orla O'Carroll
- Department of Respiratory Medicine, Connolly Hospital, Dublin, Ireland
| | - John Faul
- Department of Respiratory Medicine, Connolly Hospital, Dublin, Ireland
| | - Joy Creaser-Thomas
- College of Medicine, Institute of Life Science, Swansea University, Swansea, UK
| | - Mark Andrews
- Respiratory Medicine, Hywel Dda University Health Board, Llanelli, UK
| | - Robin Ghosal
- Respiratory Medicine, Hywel Dda University Health Board, Llanelli, UK
| | - Stefan Piatek
- National Heart and Lung Institute, Imperial College London, London, UK
| | | | - Theda U P Bartolomaeus
- Max Delbrück Center for Molecular Medicine (MDC), 13125, Berlin, Germany
- Experimental and Clinical Research Center, A Cooperation of Charité-Universitätsmedizin Berlin and Max Delbrück Center for Molecular Medicine, Lindenberger Weg 80, 13125, Berlin, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site, 10785, Berlin, Germany
- Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 10117, Berlin, Germany
| | - Till Birkner
- Max Delbrück Center for Molecular Medicine (MDC), 13125, Berlin, Germany
- Experimental and Clinical Research Center, A Cooperation of Charité-Universitätsmedizin Berlin and Max Delbrück Center for Molecular Medicine, Lindenberger Weg 80, 13125, Berlin, Germany
- Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 10117, Berlin, Germany
| | - Sarah Dwyer
- National Heart and Lung Institute, Imperial College London, London, UK
| | - Nitin Kumar
- Host-Microbiota Interactions Laboratory, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK
| | - Elena M Turek
- National Heart and Lung Institute, Imperial College London, London, UK
| | - A William Musk
- School of Population and Global Health, The University of Western Australia, Perth, WA, Australia
- Busselton Population Medical Research Institute, Sir Charles Gairdner Hospital, Perth, WA, Australia
- Department of Respiratory Medicine Sir Charles Gairdner Hospital, Perth, WA, Australia
| | - Jennie Hui
- School of Population and Global Health, The University of Western Australia, Perth, WA, Australia
- Busselton Population Medical Research Institute, Sir Charles Gairdner Hospital, Perth, WA, Australia
| | - Michael Hunter
- School of Population and Global Health, The University of Western Australia, Perth, WA, Australia
- Busselton Population Medical Research Institute, Sir Charles Gairdner Hospital, Perth, WA, Australia
| | - Alan James
- School of Population and Global Health, The University of Western Australia, Perth, WA, Australia
- Department of Respiratory Medicine Sir Charles Gairdner Hospital, Perth, WA, Australia
- Department of Pulmonary Physiology and Sleep Medicine, Sir Charles Gairdner Hospital, Perth, WA, Australia
| | - Marc-Emmanuel Dumas
- National Heart and Lung Institute, Imperial College London, London, UK
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
- U1283 INSERM / UMR8199 CNRS, Institut Pasteur de Lille, Lille University Hospital, European Genomic Institute for Diabetes, University of Lille, Lille, France
- McGill Genome Centre, McGill University, Montréal, QC, Canada
| | - Sarah Filippi
- Department of Mathematics, Imperial College London, London, UK
| | - Michael J Cox
- University of Birmingham College of Medical and Dental Sciences, 150183, Institute of Microbiology and Infection, Birmingham, UK
| | - Trevor D Lawley
- Host-Microbiota Interactions Laboratory, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK
| | - Sofia K Forslund
- Max Delbrück Center for Molecular Medicine (MDC), 13125, Berlin, Germany.
- Experimental and Clinical Research Center, A Cooperation of Charité-Universitätsmedizin Berlin and Max Delbrück Center for Molecular Medicine, Lindenberger Weg 80, 13125, Berlin, Germany.
- DZHK (German Centre for Cardiovascular Research), Partner Site, 10785, Berlin, Germany.
- Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 10117, Berlin, Germany.
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Structural and Computational Biology Unit, 69117, Heidelberg, Germany.
| | - Miriam F Moffatt
- National Heart and Lung Institute, Imperial College London, London, UK.
| | | |
Collapse
|
5
|
Li R, Li J, Zhou X. Lung microbiome: new insights into the pathogenesis of respiratory diseases. Signal Transduct Target Ther 2024; 9:19. [PMID: 38228603 DOI: 10.1038/s41392-023-01722-y] [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: 07/19/2023] [Revised: 10/25/2023] [Accepted: 11/22/2023] [Indexed: 01/18/2024] Open
Abstract
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.
Collapse
Affiliation(s)
- Ruomeng Li
- Department of Biotherapy, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, 610041, China
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Chinese Academy of Medical Sciences Research Unit of Oral Carcinogenesis and Management, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, 610041, China
| | - Jing Li
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Chinese Academy of Medical Sciences Research Unit of Oral Carcinogenesis and Management, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, 610041, China.
| | - Xikun Zhou
- Department of Biotherapy, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, 610041, China.
| |
Collapse
|
6
|
Cauwenberghs E, De Boeck I, Spacova I, Van Tente I, Bastiaenssen J, Lammertyn E, Verhulst S, Van Hoorenbeeck K, Lebeer S. Positioning the preventive potential of microbiome treatments for cystic fibrosis in the context of current therapies. Cell Rep Med 2024; 5:101371. [PMID: 38232705 PMCID: PMC10829789 DOI: 10.1016/j.xcrm.2023.101371] [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: 07/14/2023] [Revised: 10/24/2023] [Accepted: 12/14/2023] [Indexed: 01/19/2024]
Abstract
Antibiotics and cystic fibrosis transmembrane conductance regulator (CFTR) modulators play a pivotal role in cystic fibrosis (CF) treatment, but both have limitations. Antibiotics are linked to antibiotic resistance and disruption of the airway microbiome, while CFTR modulators are not widely accessible, and structural lung damage and pathogen overgrowth still occur. Complementary strategies that can beneficially modulate the airway microbiome in a preventive way are highly needed. This could be mediated via oral probiotics, which have shown some improvement of lung function and reduction of airway infections and exacerbations, as a cost-effective approach. However, recent data suggest that specific and locally administered probiotics in the respiratory tract might be a more targeted approach to prevent pathogen outgrowth in the lower airways. This review aims to summarize the current knowledge on the CF airway microbiome and possibilities of microbiome treatments to prevent bacterial and/or viral infections and position them in the context of current CF therapies.
Collapse
Affiliation(s)
- Eline Cauwenberghs
- University of Antwerp, Department of Bioscience Engineering, Groenenborgerlaan 171, 2020 Antwerp, Belgium
| | - Ilke De Boeck
- University of Antwerp, Department of Bioscience Engineering, Groenenborgerlaan 171, 2020 Antwerp, Belgium
| | - Irina Spacova
- University of Antwerp, Department of Bioscience Engineering, Groenenborgerlaan 171, 2020 Antwerp, Belgium
| | - Ilke Van Tente
- University of Antwerp, Department of Bioscience Engineering, Groenenborgerlaan 171, 2020 Antwerp, Belgium
| | - Joke Bastiaenssen
- University of Antwerp, Department of Bioscience Engineering, Groenenborgerlaan 171, 2020 Antwerp, Belgium
| | - Elise Lammertyn
- Belgian CF Association, Driebruggenstraat 124, 1160 Brussels, Belgium; Cystic Fibrosis Europe, Driebruggenstraat 124, 1160 Brussels, Belgium
| | - Stijn Verhulst
- University of Antwerp, Laboratory of Experimental Medicine and Pediatrics, Universiteitsplein 1, 2610 Wilrijk, Belgium; Antwerp University Hospital, Department of Pediatric Pulmonology, Wilrijkstraat 10, 2650 Edegem, Belgium
| | - Kim Van Hoorenbeeck
- University of Antwerp, Laboratory of Experimental Medicine and Pediatrics, Universiteitsplein 1, 2610 Wilrijk, Belgium; Antwerp University Hospital, Department of Pediatric Pulmonology, Wilrijkstraat 10, 2650 Edegem, Belgium
| | - Sarah Lebeer
- University of Antwerp, Department of Bioscience Engineering, Groenenborgerlaan 171, 2020 Antwerp, Belgium.
| |
Collapse
|
7
|
Longhi G, Argentini C, Fontana F, Tarracchini C, Mancabelli L, Lugli GA, Alessandri G, Lahner E, Pivetta G, Turroni F, Ventura M, Milani C. Saponin treatment for eukaryotic DNA depletion alters the microbial DNA profiles by reducing the abundance of Gram-negative bacteria in metagenomics analyses. MICROBIOME RESEARCH REPORTS 2023; 3:4. [PMID: 38455080 PMCID: PMC10917613 DOI: 10.20517/mrr.2023.02] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Revised: 11/01/2023] [Accepted: 11/10/2023] [Indexed: 03/09/2024]
Abstract
Background: Recent advances in microbiome sequencing techniques have provided new insights into the role of the microbiome on human health with potential diagnostic implications. However, these developments are often hampered by the presence of a large amount of human DNA interfering with the analysis of the bacterial content. Nowadays, extensive scientific literature focuses on eukaryotic DNA depletion methods, which successfully remove host DNA in microbiome studies, even if a precise assessment of the impact on bacterial DNA is often missing. Methods: Here, we have investigated a saponin-based DNA isolation protocol commonly applied to different biological matrices to deplete the released host DNA. Results: The bacterial DNA obtained was used to assess the relative abundance of bacterial and human DNA, revealing that the inclusion of 2.5% wt/vol saponin allowed the depletion of most of the host's DNA in favor of bacterial DNA enrichment. However, shotgun metagenomic sequencing showed inaccurate microbial profiles of the DNA samples, highlighting an erroneous increase in Gram-positive DNA. Even the application of 0.0125% wt/vol saponin altered the bacterial profile by depleting Gram-negative bacteria, resulting in an overall increase of Gram-positive bacterial DNA. Conclusion: The application of the saponin-based protocol drastically changes the detection of the microbial composition of human-related biological specimens. In this context, we revealed that saponin targets not only host cells but also specific bacterial cells, thus inducing a drastic reduction in the profiling of Gram-negative bacterial DNA.
Collapse
Affiliation(s)
- Giulia Longhi
- Laboratory of Probiogenomics, Department of Chemistry, Life Sciences, and Environmental Sustainability, University of Parma, Parma 43124, Italy
- GenProbio Srl, Parma 43124, Italy
| | - Chiara Argentini
- Laboratory of Probiogenomics, Department of Chemistry, Life Sciences, and Environmental Sustainability, University of Parma, Parma 43124, Italy
| | - Federico Fontana
- Laboratory of Probiogenomics, Department of Chemistry, Life Sciences, and Environmental Sustainability, University of Parma, Parma 43124, Italy
- GenProbio Srl, Parma 43124, Italy
| | - Chiara Tarracchini
- Laboratory of Probiogenomics, Department of Chemistry, Life Sciences, and Environmental Sustainability, University of Parma, Parma 43124, Italy
| | - Leonardo Mancabelli
- Department of Medicine and Surgery, University of Parma, Parma 43124, Italy
- Microbiome Research Hub, University of Parma, Parma 43124, Italy
| | - Gabriele Andrea Lugli
- Laboratory of Probiogenomics, Department of Chemistry, Life Sciences, and Environmental Sustainability, University of Parma, Parma 43124, Italy
| | - Giulia Alessandri
- Laboratory of Probiogenomics, Department of Chemistry, Life Sciences, and Environmental Sustainability, University of Parma, Parma 43124, Italy
| | - Edith Lahner
- Medical-Surgical Department of Clinical Sciences and Translational Medicine, Sant’Andrea Hospital, School of Medicine, University Sapienza, Rome 00185, Italy
| | - Giulia Pivetta
- Medical-Surgical Department of Clinical Sciences and Translational Medicine, Sant’Andrea Hospital, School of Medicine, University Sapienza, Rome 00185, Italy
| | - Francesca Turroni
- Laboratory of Probiogenomics, Department of Chemistry, Life Sciences, and Environmental Sustainability, University of Parma, Parma 43124, Italy
- Microbiome Research Hub, University of Parma, Parma 43124, Italy
| | - Marco Ventura
- Laboratory of Probiogenomics, Department of Chemistry, Life Sciences, and Environmental Sustainability, University of Parma, Parma 43124, Italy
- Microbiome Research Hub, University of Parma, Parma 43124, Italy
| | - Christian Milani
- Laboratory of Probiogenomics, Department of Chemistry, Life Sciences, and Environmental Sustainability, University of Parma, Parma 43124, Italy
- Microbiome Research Hub, University of Parma, Parma 43124, Italy
| |
Collapse
|
8
|
Choi J, Keen EC, Wallace MA, Fishbein S, Prusa J, Zimbric M, Mejia-Chew CR, Mehta SB, Bailey TC, Caverly LJ, Burnham CAD, Dantas G. Genomic Analyses of Longitudinal Mycobacterium abscessus Isolates in a Multicenter Cohort Reveal Parallel Signatures of In-Host Adaptation. J Infect Dis 2023; 228:321-331. [PMID: 37254795 PMCID: PMC10420398 DOI: 10.1093/infdis/jiad187] [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: 11/07/2022] [Revised: 03/18/2023] [Accepted: 05/30/2023] [Indexed: 06/01/2023] Open
Abstract
BACKGROUND Nontuberculous mycobacteria (NTM) are ubiquitous in the environment and an increasingly frequent cause of opportunistic infections. Mycobacterium abscessus complex (MABC) is one of the major NTM lung pathogens that disproportionately colonize and infect the lungs of individuals with cystic fibrosis (CF). MABC infection can persist for years, and antimicrobial treatment is frequently ineffective. METHODS We sequenced the genomes of 175 isolates longitudinally collected from 30 patients with MABC lung infection. We contextualized our cohort amidst the broader MABC phylogeny and investigated genes undergoing parallel adaptation across patients. Finally, we tested the phenotypic consequences of parallel mutations by conducting antimicrobial resistance and mercury-resistance assays. RESULTS We identified highly related isolate pairs across hospital centers with low likelihood of transmission. We further annotated nonrandom parallel mutations in 22 genes and demonstrated altered macrolide susceptibility co-occurring with a nonsynonymous whiB1 mutation. Finally, we highlighted a 23-kb mercury-resistance plasmid whose loss during chronic infection conferred phenotypic susceptibility to organic and nonorganic mercury compounds. CONCLUSIONS We characterized parallel genomic processes through which MABC is adapting to promote survival within the host. The within-lineage polymorphisms we observed have phenotypic effects, potentially benefiting fitness in the host at the putative detriment of environmental survival.
Collapse
Affiliation(s)
- JooHee Choi
- The Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine in St Louis, St Louis, Missouri, USA
| | - Eric C Keen
- The Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine in St Louis, St Louis, Missouri, USA
| | - Meghan A Wallace
- Department of Pathology and Immunology, Division of Laboratory and Genomic Medicine, Washington University School of Medicine in St Louis, St Louis, Missouri, USA
| | - Skye Fishbein
- Department of Pathology and Immunology, Division of Laboratory and Genomic Medicine, Washington University School of Medicine in St Louis, St Louis, Missouri, USA
| | - Jerome Prusa
- Department of Pathology and Immunology, Division of Laboratory and Genomic Medicine, Washington University School of Medicine in St Louis, St Louis, Missouri, USA
| | - Madsen Zimbric
- Department of Pediatrics, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Carlos R Mejia-Chew
- Department of Medicine, Washington University School of Medicine in St Louis, St Louis, Missouri, USA
| | - Shail B Mehta
- Department of Medicine, Washington University School of Medicine in St Louis, St Louis, Missouri, USA
| | - Thomas C Bailey
- Department of Medicine, Washington University School of Medicine in St Louis, St Louis, Missouri, USA
| | - Lindsay J Caverly
- Department of Pediatrics, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Carey-Ann D Burnham
- Department of Pathology and Immunology, Division of Laboratory and Genomic Medicine, Washington University School of Medicine in St Louis, St Louis, Missouri, USA
- Department of Medicine, Washington University School of Medicine in St Louis, St Louis, Missouri, USA
- Department of Pediatrics, Washington University School of Medicine in St Louis, St Louis, Missouri, USA
- Department of Molecular Microbiology, Washington University School of Medicine in St Louis, St Louis, Missouri, USA
| | - Gautam Dantas
- The Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine in St Louis, St Louis, Missouri, USA
- Department of Pathology and Immunology, Division of Laboratory and Genomic Medicine, Washington University School of Medicine in St Louis, St Louis, Missouri, USA
- Department of Pediatrics, Washington University School of Medicine in St Louis, St Louis, Missouri, USA
- Department of Molecular Microbiology, Washington University School of Medicine in St Louis, St Louis, Missouri, USA
- Department of Biomedical Engineering, Washington University in St Louis, St Louis, Missouri, USA
| |
Collapse
|
9
|
Mirhakkak MH, Chen X, Ni Y, Heinekamp T, Sae-Ong T, Xu LL, Kurzai O, Barber AE, Brakhage AA, Boutin S, Schäuble S, Panagiotou G. Genome-scale metabolic modeling of Aspergillus fumigatus strains reveals growth dependencies on the lung microbiome. Nat Commun 2023; 14:4369. [PMID: 37474497 PMCID: PMC10359302 DOI: 10.1038/s41467-023-39982-5] [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: 06/27/2022] [Accepted: 07/03/2023] [Indexed: 07/22/2023] Open
Abstract
Aspergillus fumigatus, an opportunistic human pathogen, frequently infects the lungs of people with cystic fibrosis and is one of the most common causes of infectious-disease death in immunocompromised patients. Here, we construct 252 strain-specific, genome-scale metabolic models of this important fungal pathogen to study and better understand the metabolic component of its pathogenic versatility. The models show that 23.1% of A. fumigatus metabolic reactions are not conserved across strains and are mainly associated with amino acid, nucleotide, and nitrogen metabolism. Profiles of non-conserved reactions and growth-supporting reaction fluxes are sufficient to differentiate strains, for example by environmental or clinical origin. In addition, shotgun metagenomics analysis of sputum from 40 cystic fibrosis patients (15 females, 25 males) before and after diagnosis with an A. fumigatus colonization suggests that the fungus shapes the lung microbiome towards a more beneficial fungal growth environment associated with aromatic amino acid availability and the shikimate pathway. Our findings are starting points for the development of drugs or microbiome intervention strategies targeting fungal metabolic needs for survival and colonization in the non-native environment of the human lung.
Collapse
Affiliation(s)
- Mohammad H Mirhakkak
- Department of Microbiome Dynamics, Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI), 07745, Jena, Germany
| | - Xiuqiang Chen
- Department of Microbiome Dynamics, Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI), 07745, Jena, Germany
| | - Yueqiong Ni
- Department of Microbiome Dynamics, Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI), 07745, Jena, Germany
| | - Thorsten Heinekamp
- Department of Molecular and Applied Microbiology, Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI), 07745, Jena, Germany
| | - Tongta Sae-Ong
- Department of Microbiome Dynamics, Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI), 07745, Jena, Germany
| | - Lin-Lin Xu
- Department of Microbiome Dynamics, Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI), 07745, Jena, Germany
| | - Oliver Kurzai
- Institute for Hygiene and Microbiology, University of Würzburg, 97080, Würzburg, Germany
- Research Group Fungal Septomics, Leibniz Institute of Natural Product Research and Infection Biology (Leibniz-HKI), 07745, Jena, Germany
- National Reference Center for Invasive Fungal Infections (NRZMyk), Leibniz Institute of Natural Product Research and Infection Biology (Leibniz-HKI), 07745, Jena, Germany
| | - Amelia E Barber
- Junior Research Group Fungal Informatics, Institute of Microbiology, Friedrich-Schiller-University Jena, 07745, Jena, Germany
| | - Axel A Brakhage
- Department of Molecular and Applied Microbiology, Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI), 07745, Jena, Germany
- Institute of Microbiology, Friedrich Schiller University Jena, 07745, Jena, Germany
| | - Sebastien Boutin
- Department of Infectious Diseases and Microbiology, University of Lübeck, 23562, Lübeck, Germany
- Translational Lung Research Center Heidelberg (TLRC), German Center for Lung Research (DZL), University of Heidelberg, 69120, Heidelberg, Germany
| | - Sascha Schäuble
- Department of Microbiome Dynamics, Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI), 07745, Jena, Germany.
| | - Gianni Panagiotou
- Department of Microbiome Dynamics, Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI), 07745, Jena, Germany.
- Department of Medicine and State Key Laboratory of Pharmaceutical Biotechnology, University of Hong Kong, Hong Kong, China.
- Friedrich Schiller University, Faculty of Biological Sciences, Jena, 07745, Germany.
| |
Collapse
|
10
|
Thornton CS, Parkins MD. Microbial Epidemiology of the Cystic Fibrosis Airways: Past, Present, and Future. Semin Respir Crit Care Med 2023; 44:269-286. [PMID: 36623820 DOI: 10.1055/s-0042-1758732] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
Progressive obstructive lung disease secondary to chronic airway infection, coupled with impaired host immunity, is the leading cause of morbidity and mortality in cystic fibrosis (CF). Classical pathogens found in the airways of persons with CF (pwCF) include Pseudomonas aeruginosa, Staphylococcus aureus, the Burkholderia cepacia complex, Achromobacter species, and Haemophilus influenzae. While traditional respiratory-tract surveillance culturing has focused on this limited range of pathogens, the use of both comprehensive culture and culture-independent molecular approaches have demonstrated complex highly personalized microbial communities. Loss of bacterial community diversity and richness, counteracted with relative increases in dominant taxa by traditional CF pathogens such as Burkholderia or Pseudomonas, have long been considered the hallmark of disease progression. Acquisition of these classic pathogens is viewed as a harbinger of advanced disease and postulated to be driven in part by recurrent and frequent antibiotic exposure driven by frequent acute pulmonary exacerbations. Recently, CF transmembrane conductance regulator (CFTR) modulators, small molecules designed to potentiate or restore diminished protein levels/function, have been successfully developed and have profoundly influenced disease course. Despite the multitude of clinical benefits, structural lung damage and consequent chronic airway infection persist in pwCF. In this article, we review the microbial epidemiology of pwCF, focus on our evolving understanding of these infections in the era of modulators, and identify future challenges in infection surveillance and clinical management.
Collapse
Affiliation(s)
- Christina S Thornton
- Department of Medicine, Cumming School of Medicine, University of Calgary, Alberta, Canada
| | - Michael D Parkins
- Department of Medicine, Cumming School of Medicine, University of Calgary, Alberta, Canada.,Department of Microbiology, Immunology and Infectious Diseases, University of Calgary, Alberta, Canada
| |
Collapse
|
11
|
Xu J, Zhou P, Liu J, Zhao L, Fu H, Han Q, Wang L, Wu W, Ou Q, Ma Y, He J. Utilizing Metagenomic Next-Generation Sequencing (mNGS) for Rapid Pathogen Identification and to Inform Clinical Decision-Making: Results from a Large Real-World Cohort. Infect Dis Ther 2023; 12:1175-1187. [PMID: 36988865 PMCID: PMC10147866 DOI: 10.1007/s40121-023-00790-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Accepted: 03/07/2023] [Indexed: 03/30/2023] Open
Abstract
INTRODUCTION Clinical metagenomic next-generation sequencing (mNGS) has proven to be a powerful diagnostic tool in pathogen detection. However, its clinical utility has not been thoroughly evaluated. METHODS In this single-center prospective study at the First Affiliated Hospital of Soochow University, a total of 228 samples from 215 patients suspected of having acute or chronic infections between June 2018 and December 2018 were studied. Samples that met the mNGS quality control (QC) criteria (N = 201) were simultaneously analyzed using conventional tests (CTs), including multiple clinical microbiological tests and real-time PCR (if applicable). RESULTS Pathogen detection results of mNGS in the 201 QC-passed samples were compared to CTs and exhibited a sensitivity of 98.8%, specificity of 38.5%, and accuracy of 87.1%. Specifically, 109 out of 160 (68.1%) CT+/mNGS+ samples exhibited concordant results at the species/genus level, 25 samples (15.6%) showed overlapping results, while the remaining 26 samples (16.3%) had discordant results between the CT and mNGS assays. In addition, mNGS could identify pathogens at the species level, whereas only the genera of some pathogens could be identified by CT. In this cohort, mNGS results were used to guide treatment plans in 24 out of 41 cases that had available follow-up information, and the symptoms were improved in over 70% (17/24) of them. CONCLUSION Our data demonstrated the analytic performance of our mNGS pipeline for pathogen detection using a large clinical cohort and strongly supports the notion that in clinical practice, mNGS represents a valuable supplementary tool to CTs to rapidly determine etiological factors of various types of infection and to guide treatment decision-making.
Collapse
Affiliation(s)
- Jie Xu
- Clinical Laboratory Center, The First Affiliated Hospital of Soochow University, Suzhou, 215031, China
| | - Peng Zhou
- Center of Translational Medicine and Clinical Laboratory, Dushu Lake Hospital Affiliated to Soochow University, Suzhou, 215028, China
| | - Jia Liu
- Dinfectome Inc., NanjingJiangsu, 210000, China
| | - Lina Zhao
- Department of Laboratory Medicine, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China
| | - Hailong Fu
- Clinical Laboratory Center, The First Affiliated Hospital of Soochow University, Suzhou, 215031, China
| | - Qingzhen Han
- Center of Translational Medicine and Clinical Laboratory, Dushu Lake Hospital Affiliated to Soochow University, Suzhou, 215028, China
| | - Lin Wang
- Center of Translational Medicine and Clinical Laboratory, Dushu Lake Hospital Affiliated to Soochow University, Suzhou, 215028, China
| | - Weiwei Wu
- Dinfectome Inc., NanjingJiangsu, 210000, China
| | - Qiuxiang Ou
- Dinfectome Inc., NanjingJiangsu, 210000, China
| | - Yutong Ma
- Dinfectome Inc., NanjingJiangsu, 210000, China
| | - Jun He
- Clinical Laboratory Center, The First Affiliated Hospital of Soochow University, Suzhou, 215031, China.
- HLA Laboratory of Jiangsu Institute of Hematology, Collaborative Innovation Center of Hematology, The First Affiliated Hospital of Soochow University, 13/F (West), Hospital Comprehensive Building, No.899 Ping Hai Road, Suzhou, 215031, Jiangsu, China.
| |
Collapse
|
12
|
Pienkowska K, Pust MM, Gessner M, Gaedcke S, Thavarasa A, Rosenboom I, Morán Losada P, Minso R, Arnold C, Hedtfeld S, Dorda M, Wiehlmann L, Mainz JG, Klockgether J, Tümmler B. The Cystic Fibrosis Upper and Lower Airway Metagenome. Microbiol Spectr 2023; 11:e0363322. [PMID: 36892308 PMCID: PMC10101124 DOI: 10.1128/spectrum.03633-22] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Accepted: 02/17/2023] [Indexed: 03/10/2023] Open
Abstract
The microbial metagenome in cystic fibrosis (CF) airways was investigated by whole-genome shotgun sequencing of total DNA isolated from nasal lavage samples, oropharyngeal swabs, and induced sputum samples collected from 65 individuals with CF aged 7 to 50 years. Each patient harbored a personalized microbial metagenome unique in microbial load and composition, the exception being monocultures of the most common CF pathogens Staphylococcus aureus and Pseudomonas aeruginosa from patients with advanced lung disease. The sampling of the upper airways by nasal lavage uncovered the fungus Malassezia restricta and the bacterium Staphylococcus epidermidis as prominent species. Healthy and CF donors harbored qualitatively and quantitatively different spectra of commensal bacteria in their sputa, even in the absence of any typical CF pathogen. If P. aeruginosa, S. aureus, or Stenotrophomonas maltophilia belonged to the trio of the most abundant species in the CF sputum metagenome, common inhabitants of the respiratory tract of healthy subjects, i.e., Eubacterium sulci, Fusobacterium periodonticum, and Neisseria subflava, were present only in low numbers or not detectable. Random forest analysis identified the numerical ecological parameters of the bacterial community, such as Shannon and Simpson diversity, as the key parameters that globally distinguish sputum samples from CF and healthy donors. IMPORTANCE Cystic fibrosis (CF) is the most common life-limiting monogenetic disease in European populations and is caused by mutations in the CFTR gene. Chronic airway infections with opportunistic pathogens are the major morbidity that determines prognosis and quality of life in most people with CF. We examined the composition of the microbial communities of the oral cavity and upper and lower airways in CF patients across all age groups. From early on, the spectrum of commensals is different in health and CF. Later on, when the common CF pathogens take up residence in the lungs, we observed differential modes of depletion of the commensal microbiota in the presence of S. aureus, P. aeruginosa, S. maltophilia, or combinations thereof. It remains to be seen whether the implementation of lifelong CFTR (cystic fibrosis transmembrane conductance regulator) modulation will change the temporal evolution of the CF airway metagenome.
Collapse
Affiliation(s)
- Katarzyna Pienkowska
- Department for Pediatric Pneumology, Allergology and Neonatology, Hannover Medical School, Hannover, Germany
| | - Marie-Madlen Pust
- Department for Pediatric Pneumology, Allergology and Neonatology, Hannover Medical School, Hannover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease, German Center for Lung Research, Hannover, Germany
| | - Margaux Gessner
- Department for Pediatric Pneumology, Allergology and Neonatology, Hannover Medical School, Hannover, Germany
| | - Svenja Gaedcke
- Biomedical Research in Endstage and Obstructive Lung Disease, German Center for Lung Research, Hannover, Germany
| | - Ajith Thavarasa
- Department for Pediatric Pneumology, Allergology and Neonatology, Hannover Medical School, Hannover, Germany
| | - Ilona Rosenboom
- Department for Pediatric Pneumology, Allergology and Neonatology, Hannover Medical School, Hannover, Germany
| | - Patricia Morán Losada
- Department for Pediatric Pneumology, Allergology and Neonatology, Hannover Medical School, Hannover, Germany
| | - Rebecca Minso
- Department for Pediatric Pneumology, Allergology and Neonatology, Hannover Medical School, Hannover, Germany
| | - Christin Arnold
- Cystic Fibrosis Center for Children and Adults, Jena University Hospital, Jena, Germany
| | - Silke Hedtfeld
- Department for Pediatric Pneumology, Allergology and Neonatology, Hannover Medical School, Hannover, Germany
| | - Marie Dorda
- Department for Pediatric Pneumology, Allergology and Neonatology, Hannover Medical School, Hannover, Germany
- Research Core Unit Genomics, Hannover Medical School, Hannover, Germany
| | - Lutz Wiehlmann
- Department for Pediatric Pneumology, Allergology and Neonatology, Hannover Medical School, Hannover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease, German Center for Lung Research, Hannover, Germany
- Research Core Unit Genomics, Hannover Medical School, Hannover, Germany
| | - Jochen G. Mainz
- Cystic Fibrosis Center for Children and Adults, Jena University Hospital, Jena, Germany
- Klinik für Kinder- und Jugendmedizin, Medizinische Hochschule Brandenburg, Brandenburg, Germany
| | - Jens Klockgether
- Department for Pediatric Pneumology, Allergology and Neonatology, Hannover Medical School, Hannover, Germany
| | - Burkhard Tümmler
- Department for Pediatric Pneumology, Allergology and Neonatology, Hannover Medical School, Hannover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease, German Center for Lung Research, Hannover, Germany
| |
Collapse
|
13
|
Zhu T, Jin J, Chen M, Chen Y. The impact of infection with COVID-19 on the respiratory microbiome: A narrative review. Virulence 2022; 13:1076-1087. [PMID: 35763685 PMCID: PMC9794016 DOI: 10.1080/21505594.2022.2090071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
Coronavirus disease 2019 (COVID-19), caused by SARS-CoV-2, has affected millions of individuals with various implications. Consistent with the crucial role of the microbiome in determining health and disease in humans, various studies have investigated the gut and respiratory microbiome effect on the COVID-19. Microbiota dysbiosis might support the entry, replication, and establishment of SARS-CoV-2 infection by modulating various mechanisms. One of the main mechanisms that the modulation of respiratory microbiota composition during the COVID-19 infection affects the magnitude of the disease is changes in innate and acquired immune responses, including inflammatory markers and cytokines and B- and T-cells. The diversity of respiratory microbiota in COVID-19 patients is controversial; some studies reported low microbial diversity, while others found high diversity, suggesting the role of respiratory microbiota in this disease. Modulating microbiota diversity and profile by supplementations and nutrients can be applied prophylactic and therapeutic in combating COVID-19. Here, we discussed the lung microbiome dysbiosis during various lung diseases and its interaction with immune cells, focusing on COVID-19.
Collapse
Affiliation(s)
- Taiping Zhu
- Internal Medicine Department, Chun’an Maternal and Child Health Hospital, Hangzhou, Zhejiang, China
| | - Jun Jin
- Emergency and Critical Care Center, Intensive Care Unit, Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital Hangzhou Medical College), Hangzhou, Zhejiang, China
| | - Minhua Chen
- Emergency and Critical Care Center, Intensive Care Unit, Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital Hangzhou Medical College), Hangzhou, Zhejiang, China,CONTACT Minhua Chen
| | - Yingjun Chen
- Department of Infectious Diseases, Tiantai People’s Hospital of Zhejiang Province (Tiantai Branch of Zhejiang People’s Hospital), Taizhou, Zhejiang, China
| |
Collapse
|
14
|
Xia X, Chen J, Cheng Y, Chen F, Lu H, Liu J, Wang L, Pu F, Wang Y, Liu H, Cao D, Zhang Z, Xia Z, Fan M, Ling Z, Zhao L. Comparative analysis of the lung microbiota in patients with respiratory infections, tuberculosis, and lung cancer: A preliminary study. Front Cell Infect Microbiol 2022; 12:1024867. [PMID: 36389135 PMCID: PMC9663837 DOI: 10.3389/fcimb.2022.1024867] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Accepted: 10/06/2022] [Indexed: 11/29/2022] Open
Abstract
Recent evidence suggests that lung microbiota can be recognized as one of the ecological determinants of various respiratory diseases. However, alterations in the lung microbiota and associated lung immunity in these respiratory diseases remain unclear. To compare the lung microbiota and lung immune profiles in common respiratory diseases, a total of 78 patients were enrolled in the present study, including 21 patients with primary pulmonary tuberculosis (PTB), eight patients with newly diagnosed lung cancer (LC), and 49 patients with community-acquired pneumonia (CAP). Bronchoalveolar lavage fluid (BALF) was collected for microbiota and cytokine analyses. With MiSeq sequencing system, increased bacterial alpha-diversity and richness were observed in patients with LC than in those with PTB and CAP. Linear discriminant analysis effect size revealed that CAP-associated pulmonary microbiota were significantly different between the PTB and LC groups. More key functionally different genera were found in the PTB and LC groups than in the CAP group. The interaction network revealed stronger positive and negative correlations among these genera in the LC group than in the other two groups. However, increased BALF cytokine profiles were observed in the PTB group than in the other two groups, while BALF cytokines were correlated with key functional bacteria. This comparative study provides evidence for the associations among altered lung microbiota, BALF inflammation, and different respiratory disorders, which provides insight into the possible roles and mechanisms of pulmonary microbiota in the progression of respiratory disorders.
Collapse
Affiliation(s)
- Xiaoxue Xia
- Department of Infectious Diseases, Changxing People’s Hospital, Huzhou, China
| | - Jiang Chen
- Department of Neurosurgery, Changxing People’s Hospital, Huzhou, China
| | - Yiwen Cheng
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China,Jinan Microecological Biomedicine Shandong Laboratory, Jinan, China
| | - Feng Chen
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Huoquan Lu
- Department of Respiratory, Changxing People’s Hospital, Huzhou, China
| | - Jianfeng Liu
- Department of Respiratory, Changxing People’s Hospital, Huzhou, China
| | - Ling Wang
- Department of Laboratory Medicine, Lishui Second People’s Hospital, Lishui, China
| | - Fengxia Pu
- Department of Infectious Diseases, Changxing People’s Hospital, Huzhou, China
| | - Ying Wang
- Department of Infectious Diseases, Changxing People’s Hospital, Huzhou, China
| | - Hua Liu
- Department of Infectious Diseases, Changxing People’s Hospital, Huzhou, China
| | - Daxing Cao
- Department of Infectious Diseases, Changxing People’s Hospital, Huzhou, China
| | - Zhengye Zhang
- Department of Infectious Diseases, Changxing People’s Hospital, Huzhou, China
| | - Zeping Xia
- Department of Infectious Diseases, Changxing People’s Hospital, Huzhou, China
| | - Meili Fan
- Department of Infectious Diseases, Changxing People’s Hospital, Huzhou, China
| | - Zongxin Ling
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China,Jinan Microecological Biomedicine Shandong Laboratory, Jinan, China,*Correspondence: Zongxin Ling, ; Longyou Zhao,
| | - Longyou Zhao
- Department of Laboratory Medicine, Lishui Second People’s Hospital, Lishui, China,*Correspondence: Zongxin Ling, ; Longyou Zhao,
| |
Collapse
|
15
|
Pallenberg ST, Pust MM, Rosenboom I, Hansen G, Wiehlmann L, Dittrich AM, Tümmler B. Impact of Elexacaftor/Tezacaftor/Ivacaftor Therapy on the Cystic Fibrosis Airway Microbial Metagenome. Microbiol Spectr 2022; 10:e0145422. [PMID: 36154176 PMCID: PMC9602284 DOI: 10.1128/spectrum.01454-22] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Accepted: 09/04/2022] [Indexed: 12/31/2022] Open
Abstract
The introduction of mutation-specific combination therapy with the cystic fibrosis transmembrane conductance regulator (CFTR) modulators elexacaftor/tezacaftor/ivacaftor (ELX/TEZ/IVA) has substantially improved lung function and quality of life of people with cystic fibrosis (CF). Collecting deep cough swabs and induced sputum, this postapproval study examined the effect of 14- and 50-week treatment with ELX/TEZ/IVA on the airway microbial metagenome of pancreatic- insufficient CF patients aged 12 years and older. Compared to pretreatment, the total bacterial load decreased, the individual species were more evenly distributed in the community, and the individual microbial metagenomes became more similar in their composition. However, the microbial network remained vulnerable to fragmentation. The initial shift of the CF metagenome was attributable to the ELX/TEZ/IVA-mediated gain of CFTR activity followed by a diversification driven by a group of commensals at the 1-year time point that are typical for healthy airways. IMPORTANCE Shotgun metagenome sequencing of respiratory secretions with spike-in controls for normalization demonstrated that 1 year of high-efficient CFTR modulation with elexacaftor/tezacaftor/ivacaftor extensively reduced the bacterial load. Longer observation periods will be necessary to resolve whether the partial reversion of the basic defect that is achieved with ELX/TEZ/IVA is sufficient in the long run to render the CF lungs robust against the recolonization with common opportunistic pathogens.
Collapse
Affiliation(s)
- Sophia T. Pallenberg
- Department for Pediatric Pneumology, Allergology and Neonatology, Hannover Medical School, Hannover, Germany
- German Center for Lung Research, Biomedical Research in Endstage and Obstructive Lung Disease (BREATH), Hannover Medical School, Hannover, Germany
| | - Marie-Madlen Pust
- Department for Pediatric Pneumology, Allergology and Neonatology, Hannover Medical School, Hannover, Germany
- German Center for Lung Research, Biomedical Research in Endstage and Obstructive Lung Disease (BREATH), Hannover Medical School, Hannover, Germany
| | - Ilona Rosenboom
- Department for Pediatric Pneumology, Allergology and Neonatology, Hannover Medical School, Hannover, Germany
| | - Gesine Hansen
- Department for Pediatric Pneumology, Allergology and Neonatology, Hannover Medical School, Hannover, Germany
- German Center for Lung Research, Biomedical Research in Endstage and Obstructive Lung Disease (BREATH), Hannover Medical School, Hannover, Germany
| | - Lutz Wiehlmann
- Research Core Unit Genomics, Hannover Medical School, Hannover, Germany
| | - Anna-Maria Dittrich
- Department for Pediatric Pneumology, Allergology and Neonatology, Hannover Medical School, Hannover, Germany
- German Center for Lung Research, Biomedical Research in Endstage and Obstructive Lung Disease (BREATH), Hannover Medical School, Hannover, Germany
| | - Burkhard Tümmler
- Department for Pediatric Pneumology, Allergology and Neonatology, Hannover Medical School, Hannover, Germany
- German Center for Lung Research, Biomedical Research in Endstage and Obstructive Lung Disease (BREATH), Hannover Medical School, Hannover, Germany
| |
Collapse
|
16
|
Hardouin P, Pible O, Marchandin H, Culotta K, Armengaud J, Chiron R, Grenga L. Quick and wide-range taxonomical repertoire establishment of the cystic fibrosis lung microbiota by tandem mass spectrometry on sputum samples. Front Microbiol 2022; 13:975883. [PMID: 36312921 PMCID: PMC9608366 DOI: 10.3389/fmicb.2022.975883] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Accepted: 09/15/2022] [Indexed: 11/19/2022] Open
Abstract
Microorganisms proteotyping by tandem mass spectrometry has been recently shown as a powerful methodology to identify the wide-range taxonomy and biomass of microbiota. Sputum is the recommended specimen for routine microbiological monitoring of Cystic Fibrosis (CF) patients but has been rarely submitted to tandem mass spectrometry-based proteotyping. In this study, we compared the microbial components of spontaneous and induced sputum samples from three cystic fibrosis patients. Although the presence of microbial proteins is much lower than host proteins, we report that the microbiota’s components present in the samples can be identified, as well as host biomarkers and functional insights into the microbiota. No significant difference was found in microorganism abundance between paired spontaneous and induced sputum samples. Microbial proteins linked to resistance, iron uptake, and biofilm-forming ability were observed in sputa independently of the sampling method. This unbiased and enlarged view of the CF microbiome could be highly complementary to culture and relevant for the clinical management of CF patients by improving knowledge about the host-pathogen dynamics and CF pathophysiology.
Collapse
Affiliation(s)
- Pauline Hardouin
- Département Médicaments et Technologies pour la Santé (DMTS), Université Paris-Saclay, CEA, INRAE, SPI, Bagnols-sur-Cèze, France
- Université de Montpellier, Laboratoire Innovations Technologiques pour la Détection et le Diagnostic (Li2D), Bagnols-sur-Cèze, France
| | - Olivier Pible
- Département Médicaments et Technologies pour la Santé (DMTS), Université Paris-Saclay, CEA, INRAE, SPI, Bagnols-sur-Cèze, France
| | - Hélène Marchandin
- HydroSciences Montpellier, CNRS, IRD, Service de Microbiologie et Hygiène Hospitalière, Université de Montpellier, CHU de Nîmes, Nîmes, France
| | - Karen Culotta
- Département Médicaments et Technologies pour la Santé (DMTS), Université Paris-Saclay, CEA, INRAE, SPI, Bagnols-sur-Cèze, France
| | - Jean Armengaud
- Département Médicaments et Technologies pour la Santé (DMTS), Université Paris-Saclay, CEA, INRAE, SPI, Bagnols-sur-Cèze, France
| | - Raphaël Chiron
- HydroSciences Montpellier, CNRS, IRD, Centre de Ressources et de Compétences de la Mucoviscidose, Université de Montpellier, CHU de Montpellier, Montpellier, France
| | - Lucia Grenga
- Département Médicaments et Technologies pour la Santé (DMTS), Université Paris-Saclay, CEA, INRAE, SPI, Bagnols-sur-Cèze, France
- *Correspondence: Lucia Grenga,
| |
Collapse
|
17
|
Genome Capture Sequencing Selectively Enriches Bacterial DNA and Enables Genome-Wide Measurement of Intrastrain Genetic Diversity in Human Infections. mBio 2022; 13:e0142422. [PMID: 36121157 PMCID: PMC9601202 DOI: 10.1128/mbio.01424-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
Within-host evolution produces genetic diversity in bacterial strains that cause chronic human infections. However, the lack of facile methods to measure bacterial allelic variation in clinical samples has limited understanding of intrastrain diversity’s effects on disease. Here, we report a new method termed genome capture sequencing (GenCap-Seq) in which users inexpensively make hybridization probes from genomic DNA or PCR amplicons to selectively enrich and sequence targeted bacterial DNA from clinical samples containing abundant human or nontarget bacterial DNA. GenCap-Seq enables accurate measurement of allele frequencies over targeted regions and is scalable from specific genes to entire genomes, including the strain-specific accessory genome. The method is effective with samples in which target DNA is rare and inhibitory and DNA-degrading substances are abundant, including human sputum and feces. In proof-of-principle experiments, we used GenCap-Seq to investigate the responses of diversified Pseudomonas aeruginosa populations chronically infecting the lungs of people with cystic fibrosis to in vivo antibiotic exposure, and we found that treatment consistently reduced intrastrain genomic diversity. In addition, analysis of gene-level allele frequency changes suggested that some genes without conventional resistance functions may be important for bacterial fitness during in vivo antibiotic exposure. GenCap-Seq’s ability to scalably enrich targeted bacterial DNA from complex samples will enable studies on the effects of intrastrain and intraspecies diversity in human infectious disease.
Collapse
|
18
|
Thornton CS, Acosta N, Surette MG, Parkins MD. Exploring the Cystic Fibrosis Lung Microbiome: Making the Most of a Sticky Situation. J Pediatric Infect Dis Soc 2022; 11:S13-S22. [PMID: 36069903 PMCID: PMC9451016 DOI: 10.1093/jpids/piac036] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Accepted: 05/16/2022] [Indexed: 01/02/2023]
Abstract
Chronic lower respiratory tract infections are a leading contributor to morbidity and mortality in persons with cystic fibrosis (pwCF). Traditional respiratory tract surveillance culturing has focused on a limited range of classic pathogens; however, comprehensive culture and culture-independent molecular approaches have demonstrated complex communities highly unique to each individual. Microbial community structure evolves through the lifetime of pwCF and is associated with baseline disease state and rates of disease progression including occurrence of pulmonary exacerbations. While molecular analysis of the airway microbiome has provided insight into these dynamics, challenges remain including discerning not only "who is there" but "what they are doing" in relation to disease progression. Moreover, the microbiome can be leveraged as a multi-modal biomarker for both disease activity and prognostication. In this article, we review our evolving understanding of the role these communities play in pwCF and identify challenges in translating microbiome data to clinical practice.
Collapse
Affiliation(s)
- Christina S Thornton
- Department of Pediatrics, University of Michigan, Ann Arbor, Michigan, USA,Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Nicole Acosta
- Department of Microbiology, Immunology and Infectious Diseases, University of Calgary, Calgary, Alberta, Canada
| | - Michael G Surette
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, Ontario, Canada,Department of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Michael D Parkins
- Corresponding Author: Michael D. Parkins, MD, MSc, FRCPC, Associate Professor, Department of Microbiology, Immunology and Infectious Diseases, University of Calgary, 3330 Hospital Drive NW, Calgary, AB, T2N 4N1, Canada; Department of Medicine, Cumming School of Medicine, University of Calgary, 3330 Hospital Drive NW, Calgary, Alberta, T2N 4N1, Canada; Snyder Institute for Chronic Diseases, University of Calgary, 3330 Hospital Drive NW, Calgary, Alberta, T2N 4N1, Canada. E-mail:
| |
Collapse
|
19
|
Avalos-Fernandez M, Alin T, Métayer C, Thiébaut R, Enaud R, Delhaes L. The respiratory microbiota alpha-diversity in chronic lung diseases: first systematic review and meta-analysis. Respir Res 2022; 23:214. [PMID: 35999634 PMCID: PMC9396807 DOI: 10.1186/s12931-022-02132-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Accepted: 07/17/2022] [Indexed: 11/26/2022] Open
Abstract
Background While there seems to be a consensus that a decrease in gut microbiome diversity is related to a decline in health status, the associations between respiratory microbiome diversity and chronic lung disease remain a matter of debate. We provide a systematic review and meta-analysis of studies examining lung microbiota alpha-diversity in patients with asthma, chronic obstructive pulmonary disease (COPD), cystic fibrosis (CF) or bronchiectasis (NCFB), in which a control group based on disease status or healthy subjects is provided for comparison. Results We reviewed 351 articles on title and abstract, of which 27 met our inclusion criteria for systematic review. Data from 24 of these studies were used in the meta-analysis. We observed a trend that CF patients have a less diverse respiratory microbiota than healthy individuals. However, substantial heterogeneity was present and detailed using random-effects models, which limits the comparison between studies. Conclusions Knowledge on respiratory microbiota is under construction, and for the moment, it seems that alpha-diversity measurements are not enough documented to fully understand the link between microbiota and health, excepted in CF context which represents the most studied chronic respiratory disease with consistent published data to link alpha-diversity and lung function. Whether differences in respiratory microbiota profiles have an impact on chronic respiratory disease symptoms and/or evolution deserves further exploration. Supplementary Information The online version contains supplementary material available at 10.1186/s12931-022-02132-4.
Collapse
Affiliation(s)
- Marta Avalos-Fernandez
- University of Bordeaux, Bordeaux Population Health Research Center, UMR U1219, INSERM, F-33000, Bordeaux, France. .,SISTM team Inria BSO, F-33405, Talence, France.
| | - Thibaud Alin
- University of Bordeaux, Bordeaux Population Health Research Center, UMR U1219, INSERM, F-33000, Bordeaux, France.,SISTM team Inria BSO, F-33405, Talence, France
| | - Clémence Métayer
- University of Bordeaux, Bordeaux Population Health Research Center, UMR U1219, INSERM, F-33000, Bordeaux, France.,SISTM team Inria BSO, F-33405, Talence, France
| | - Rodolphe Thiébaut
- University of Bordeaux, Bordeaux Population Health Research Center, UMR U1219, INSERM, F-33000, Bordeaux, France.,SISTM team Inria BSO, F-33405, Talence, France.,Pole of Public Health, University Hospital of Bordeaux, F-33000, Bordeaux, France
| | - Raphaël Enaud
- Cystic fibrosis centre (CRCM), Paediatrics Department, University Hospital of Bordeaux, F-33000, Bordeaux, France.,Parasitology-Mycology Department, University Hospital of Bordeaux, F-33000, Bordeaux, France
| | - Laurence Delhaes
- Cystic fibrosis centre (CRCM), Paediatrics Department, University Hospital of Bordeaux, F-33000, Bordeaux, France.,Parasitology-Mycology Department, University Hospital of Bordeaux, F-33000, Bordeaux, France.,University of Bordeaux, Bordeaux Cardio-Thoracic Research Center, U1045, INSERM, F-33000, Bordeaux, France
| |
Collapse
|
20
|
Klosinska K, Reece E, Kenny E, Renwick J. Reducing human DNA bias in cystic fibrosis airway specimens for microbiome analysis. J Microbiol Methods 2022; 200:106540. [PMID: 35853495 DOI: 10.1016/j.mimet.2022.106540] [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: 05/26/2022] [Revised: 07/12/2022] [Accepted: 07/13/2022] [Indexed: 12/27/2022]
Abstract
Next generation sequencing (NGS) has transformed our understanding of airway microbiology, however there are methodology limitations that require consideration. The presence of high concentrations of human DNA in clinical specimens can significantly impact sequencing of the microbiome, especially in low biomass samples. Here we compared three different methods (0.025% saponin, NEBNext Microbiome DNA enrichment kit, QIAamp DNA microbiome kit) for the reduction of human DNA from six CF sputum samples and determined the impact on the microbiome detected using 16S rRNA gene sequencing. Human DNA in undepleted CF sputum accounted for 94.3% of the total DNA. Saponin, the NEBNext kit and the QIAamp kit reduced human DNA levels by an average of 38.7%, 61.8% and 94.8%, respectively. None of the depletion methods reduced total bacterial DNA concentrations. QIAamp depletion did not influence taxa richness or alpha diversity however alterations to the core genera were noted following depletion. While all methods reduced human DNA in the CF sputum samples, the QIAamp DNA microbiome kit reduced Human DNA levels significantly while leaving bacterial DNA levels unchanged. Human DNA depletion in low biomass, human DNA-dense CF sputum samples is vital for improving bacterial resolution in the CF airway microbiome.
Collapse
Affiliation(s)
- Karolina Klosinska
- Clinical Microbiology Department, Trinity College Dublin, Trinity Centre for Health Sciences, Tallaght University Hospital, Dublin, Ireland
| | - Emma Reece
- Clinical Microbiology Department, Trinity College Dublin, Trinity Centre for Health Sciences, Tallaght University Hospital, Dublin, Ireland
| | - Elaine Kenny
- ELDA Biotech, Naas, Kildare, Ireland; TrinSeq, Trinity Translational Medicine Institute, Trinity College Dublin, Ireland
| | - Julie Renwick
- Clinical Microbiology Department, Trinity College Dublin, Trinity Centre for Health Sciences, Tallaght University Hospital, Dublin, Ireland.
| |
Collapse
|
21
|
Pailhoriès H, Herrmann JL, Velo-Suarez L, Lamoureux C, Beauruelle C, Burgel PR, Héry-Arnaud G. Antibiotic resistance in chronic respiratory diseases: from susceptibility testing to the resistome. Eur Respir Rev 2022; 31:31/164/210259. [PMID: 35613743 DOI: 10.1183/16000617.0259-2021] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2021] [Accepted: 03/02/2022] [Indexed: 12/28/2022] Open
Abstract
The development of resistome analysis, i.e. the comprehensive analysis of antibiotic-resistance genes (ARGs), is enabling a better understanding of the mechanisms of antibiotic-resistance emergence. The respiratory microbiome is a dynamic and interactive network of bacteria, with a set of ARGs that could influence the response to antibiotics. Viruses such as bacteriophages, potential carriers of ARGs, may also form part of this respiratory resistome. Chronic respiratory diseases (CRDs) such as cystic fibrosis, severe asthma, chronic obstructive pulmonary disease and bronchiectasis, managed with long-term antibiotic therapies, lead to multidrug resistance. Antibiotic susceptibility testing provides a partial view of the bacterial response to antibiotics in the complex lung environment. Assessing the ARG network would allow personalised, targeted therapeutic strategies and suitable antibiotic stewardship in CRDs, depending on individual resistome and microbiome signatures. This review summarises the influence of pulmonary antibiotic protocols on the respiratory microbiome, detailing the variable consequences according to antibiotic class and duration of treatment. The different resistome-profiling methods are explained to clarify their respective place in antibiotic-resistance analysis in the lungs. Finally, this review details current knowledge on the respiratory resistome related to therapeutic strategies and provides insight into the application of resistome analysis to counter the emergence of multidrug-resistant respiratory pathogens.
Collapse
Affiliation(s)
- Hélène Pailhoriès
- Laboratoire de Bactériologie, Institut de Biologie en Santé - PBH, CHU Angers, Angers, France.,HIFIH Laboratory UPRES EA3859, SFR ICAT 4208, Angers University, Angers, France
| | - Jean-Louis Herrmann
- Université Paris-Saclay, UVSQ, INSERM, Infection and Inflammation, Montigny-le-Bretonneux, France.,AP-HP, Groupe Hospitalo-Universitaire Paris-Saclay, Hôpital Raymond Poincaré, Garches, France
| | - Lourdes Velo-Suarez
- Brest Center for Microbiota Analysis (CBAM), Brest University Hospital, Brest, France
| | - Claudie Lamoureux
- Dept of Bacteriology, Virology, Hospital Hygiene, and Parasitology-Mycology, Brest University Hospital, Brest, France.,Université de Brest, INSERM, EFS, UMR 1078, GGB, Brest, France
| | - Clémence Beauruelle
- Dept of Bacteriology, Virology, Hospital Hygiene, and Parasitology-Mycology, Brest University Hospital, Brest, France.,Université de Brest, INSERM, EFS, UMR 1078, GGB, Brest, France
| | - Pierre-Régis Burgel
- Respiratory Medicine and National Cystic Fibrosis Reference Center, Cochin Hospital, Assistance Publique-Hôpitaux de Paris, Université de Paris, Institut Cochin, INSERM U1016, Paris, France
| | - Geneviève Héry-Arnaud
- Brest Center for Microbiota Analysis (CBAM), Brest University Hospital, Brest, France .,Dept of Bacteriology, Virology, Hospital Hygiene, and Parasitology-Mycology, Brest University Hospital, Brest, France.,Université de Brest, INSERM, EFS, UMR 1078, GGB, Brest, France
| |
Collapse
|
22
|
Evaluation of Host Depletion and Extraction Methods for Shotgun Metagenomic Analysis of Bovine Vaginal Samples. Microbiol Spectr 2022; 10:e0041221. [PMID: 35404108 PMCID: PMC9045270 DOI: 10.1128/spectrum.00412-21] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
The reproductive tract metagenome plays a significant role in the various reproductive system functions, including reproductive cycles, health, and fertility. One of the major challenges in bovine vaginal metagenome studies is host DNA contamination, which limits the sequencing capacity for metagenomic content and reduces the accuracy of untargeted shotgun metagenomic profiling. This is the first study comparing the effectiveness of different host depletion and DNA extraction methods for bovine vaginal metagenomic samples. The host depletion methods evaluated were slow centrifugation (Soft-spin), NEBNext Microbiome DNA Enrichment kit (NEBNext), and propidium monoazide (PMA) treatment, while the extraction methods were DNeasy Blood and Tissue extraction (DNeasy) and QIAamp DNA Microbiome extraction (QIAamp). Soft-spin and QIAamp were the most effective host depletion method and extraction methods, respectively, in reducing the number of cattle genomic content in bovine vaginal samples. The reduced host-to-microbe ratio in the extracted DNA increased the sequencing depth for microbial reads in untargeted shotgun sequencing. Bovine vaginal samples extracted with QIAamp presented taxonomical profiles which closely resembled the mock microbial composition, especially for the recovery of Gram-positive bacteria. Additionally, samples extracted with QIAamp presented extensive functional profiles with deep coverage. Overall, a combination of Soft-spin and QIAamp provided the most robust representation of the vaginal microbial community in cattle while minimizing host DNA contamination. IMPORTANCE In addition to the host tissue collected during the sampling process, bovine vaginal samples are saturated with large amounts of extracellular DNA and secreted proteins that are essential for physiological purposes, including the reproductive cycle and immune defense. Due to the high host-to-microbe genome ratio, which hampers the sequencing efficacy for metagenome samples and the recovery of the actual metagenomic profiles, bovine vaginal samples cannot benefit from the full potential of shotgun sequencing. This is the first investigation on the most effective host depletion and extraction methods for bovine vaginal metagenomic samples. This study demonstrated an effective combination of host depletion and extraction methods, which harvested higher percentages of 16S rRNA genes and microbial reads, which subsequently led to a taxonomical profile that resembled the actual community and a functional profile with deeper coverage. A representative metagenomic profile is essential for investigating the role of the bovine vaginal metagenome for both reproductive function and susceptibility to infections.
Collapse
|
23
|
Li Y, Yang Q, Ding J. Metagenomic Next-generation Sequencing: Application in Infectious Diseases. EXPLORATORY RESEARCH AND HYPOTHESIS IN MEDICINE 2022; 7:19-24. [DOI: 10.14218/erhm.2021.00014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
|
24
|
Mancabelli L, Milani C, Fontana F, Lugli GA, Tarracchini C, Turroni F, van Sinderen D, Ventura M. Mapping bacterial diversity and metabolic functionality of the human respiratory tract microbiome. J Oral Microbiol 2022; 14:2051336. [PMID: 35309410 PMCID: PMC8933033 DOI: 10.1080/20002297.2022.2051336] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Background The Human Respiratory Tract (HRT) is colonized by various microbial taxa, known as HRT microbiota, in a manner that is indicative of mutualistic interaction between such microorganisms and their host. Aim To investigate the microbial composition of the HRT and its possible correlation with the different compartments of the respiratory tract. Methods In the current study, we performed an in-depth meta‐analysis of 849 HRT samples from public shotgun metagenomic datasets obtained through several distinct collection methods. Results The statistical robustness provided by this meta-analysis allowed the identification of 13 possible HRT-specific Community State Types (CSTs), which appear to be specific to each anatomical region of the respiratory tract. Furthermore, functional characterization of the metagenomic datasets revealed specific microbial metabolic features correlating with the different compartments of the respiratory tract. Conclusion The meta-analysis here performed suggested that the variable presence of certain bacterial species seems to be linked to a location-related abundance gradient in the HRT and seems to be characterized by a specific microbial metabolic capability.
Collapse
Affiliation(s)
- Leonardo Mancabelli
- Laboratory of Probiogenomics, Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parma, Italy
| | - Christian Milani
- Laboratory of Probiogenomics, Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parma, Italy.,Interdepartmental Research Centre "Microbiome Research Hub", University of Parma, Parma, Italy
| | - Federico Fontana
- Laboratory of Probiogenomics, Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parma, Italy
| | - Gabriele Andrea Lugli
- Laboratory of Probiogenomics, Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parma, Italy
| | - Chiara Tarracchini
- Laboratory of Probiogenomics, Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parma, Italy
| | - Francesca Turroni
- Laboratory of Probiogenomics, Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parma, Italy.,Interdepartmental Research Centre "Microbiome Research Hub", University of Parma, Parma, Italy
| | - Douwe van Sinderen
- APC Microbiome Institute and School of Microbiology, Bioscience Institute, National University of Ireland, Cork, Ireland
| | - Marco Ventura
- Laboratory of Probiogenomics, Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parma, Italy.,Interdepartmental Research Centre "Microbiome Research Hub", University of Parma, Parma, Italy
| |
Collapse
|
25
|
O’Connor JB, Mottlowitz M, Kruk ME, Mickelson A, Wagner BD, Harris JK, Wendt CH, Laguna TA. Network Analysis to Identify Multi-Omic Correlations in the Lower Airways of Children With Cystic Fibrosis. Front Cell Infect Microbiol 2022; 12:805170. [PMID: 35360097 PMCID: PMC8960254 DOI: 10.3389/fcimb.2022.805170] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Accepted: 02/16/2022] [Indexed: 11/13/2022] Open
Abstract
The leading cause of morbidity and mortality in cystic fibrosis (CF) is progressive lung disease secondary to chronic airway infection and inflammation; however, what drives CF airway infection and inflammation is not well understood. By providing a physiological snapshot of the airway, metabolomics can provide insight into these processes. Linking metabolomic data with microbiome data and phenotypic measures can reveal complex relationships between metabolites, lower airway bacterial communities, and disease outcomes. In this study, we characterize the airway metabolome in bronchoalveolar lavage fluid (BALF) samples from persons with CF (PWCF) and disease control (DC) subjects and use multi-omic network analysis to identify correlations with the airway microbiome. The Biocrates targeted liquid chromatography mass spectrometry (LC-MS) platform was used to measure 409 metabolomic features in BALF obtained during clinically indicated bronchoscopy. Total bacterial load (TBL) was measured using quantitative polymerase chain reaction (qPCR). The Qiagen EZ1 Advanced automated extraction platform was used to extract DNA, and bacterial profiling was performed using 16S sequencing. Differences in metabolomic features across disease groups were assessed univariately using Wilcoxon rank sum tests, and Random forest (RF) was used to identify features that discriminated across the groups. Features were compared to TBL and markers of inflammation, including white blood cell count (WBC) and percent neutrophils. Sparse supervised canonical correlation network analysis (SsCCNet) was used to assess multi-omic correlations. The CF metabolome was characterized by increased amino acids and decreased acylcarnitines. Amino acids and acylcarnitines were also among the features most strongly correlated with inflammation and bacterial burden. RF identified strong metabolomic predictors of CF status, including L-methionine-S-oxide. SsCCNet identified correlations between the metabolome and the microbiome, including correlations between a traditional CF pathogen, Staphylococcus, a group of nontraditional taxa, including Prevotella, and a subnetwork of specific metabolomic markers. In conclusion, our work identified metabolomic characteristics unique to the CF airway and uncovered multi-omic correlations that merit additional study.
Collapse
Affiliation(s)
- John B. O’Connor
- Department of Pediatrics, Division of Pulmonary and Sleep Medicine, Ann & Robert H. Lurie Children’s Hospital of Chicago, Chicago, IL, United States
- *Correspondence: John B. O’Connor,
| | - Madison Mottlowitz
- Department of Pediatrics, Division of Pulmonary and Sleep Medicine, Ann & Robert H. Lurie Children’s Hospital of Chicago, Chicago, IL, United States
| | - Monica E. Kruk
- Department of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, MN, United States
| | - Alan Mickelson
- Department of Medicine, University of Minnesota, Minneapolis VA Medical Center, Minneapolis, MN, United States
| | - Brandie D. Wagner
- School of Medicine, University of Colorado, Aurora, CO, United States
- Colorado School of Public Health, University of Colorado Denver, Aurora, CO, United States
| | | | - Christine H. Wendt
- Department of Medicine, University of Minnesota, Minneapolis VA Medical Center, Minneapolis, MN, United States
| | - Theresa A. Laguna
- Department of Pediatrics, Division of Pulmonary and Sleep Medicine, Ann & Robert H. Lurie Children’s Hospital of Chicago, Chicago, IL, United States
- Northwestern University Feinberg School of Medicine, Chicago, IL, United States
| |
Collapse
|
26
|
Khot V, Zorz J, Gittins DA, Chakraborty A, Bell E, Bautista MA, Paquette AJ, Hawley AK, Novotnik B, Hubert CRJ, Strous M, Bhatnagar S. CANT-HYD: A Curated Database of Phylogeny-Derived Hidden Markov Models for Annotation of Marker Genes Involved in Hydrocarbon Degradation. Front Microbiol 2022; 12:764058. [PMID: 35069469 PMCID: PMC8767102 DOI: 10.3389/fmicb.2021.764058] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Accepted: 12/08/2021] [Indexed: 02/04/2023] Open
Abstract
Many pathways for hydrocarbon degradation have been discovered, yet there are no dedicated tools to identify and predict the hydrocarbon degradation potential of microbial genomes and metagenomes. Here we present the Calgary approach to ANnoTating HYDrocarbon degradation genes (CANT-HYD), a database of 37 HMMs of marker genes involved in anaerobic and aerobic degradation pathways of aliphatic and aromatic hydrocarbons. Using this database, we identify understudied or overlooked hydrocarbon degradation potential in many phyla. We also demonstrate its application in analyzing high-throughput sequence data by predicting hydrocarbon utilization in large metagenomic datasets from diverse environments. CANT-HYD is available at https://github.com/dgittins/CANT-HYD-HydrocarbonBiodegradation.
Collapse
Affiliation(s)
- Varada Khot
- Energy Bioengineering and Geomicrobiology Group, Department of Geoscience, University of Calgary, Calgary, AB, Canada
| | - Jackie Zorz
- Energy Bioengineering and Geomicrobiology Group, Department of Geoscience, University of Calgary, Calgary, AB, Canada
| | - Daniel A Gittins
- Energy Bioengineering and Geomicrobiology Group, Department of Biological Sciences, University of Calgary, Calgary, AB, Canada
| | - Anirban Chakraborty
- Energy Bioengineering and Geomicrobiology Group, Department of Biological Sciences, University of Calgary, Calgary, AB, Canada
| | - Emma Bell
- Energy Bioengineering and Geomicrobiology Group, Department of Biological Sciences, University of Calgary, Calgary, AB, Canada
| | - María A Bautista
- Energy Bioengineering and Geomicrobiology Group, Department of Biological Sciences, University of Calgary, Calgary, AB, Canada
| | - Alexandre J Paquette
- Energy Bioengineering and Geomicrobiology Group, Department of Geoscience, University of Calgary, Calgary, AB, Canada
| | - Alyse K Hawley
- Energy Bioengineering and Geomicrobiology Group, Department of Geoscience, University of Calgary, Calgary, AB, Canada
| | - Breda Novotnik
- Energy Bioengineering and Geomicrobiology Group, Department of Geoscience, University of Calgary, Calgary, AB, Canada
| | - Casey R J Hubert
- Energy Bioengineering and Geomicrobiology Group, Department of Biological Sciences, University of Calgary, Calgary, AB, Canada
| | - Marc Strous
- Energy Bioengineering and Geomicrobiology Group, Department of Geoscience, University of Calgary, Calgary, AB, Canada
| | - Srijak Bhatnagar
- Energy Bioengineering and Geomicrobiology Group, Department of Biological Sciences, University of Calgary, Calgary, AB, Canada
| |
Collapse
|
27
|
Morgan SJ, Durfey SL, Ravishankar S, Jorth P, Ni W, Skerrett DT, Aitken ML, McKone EF, Salipante SJ, Radey MC, Singh PK. A population-level strain genotyping method to study pathogen strain dynamics in human infections. JCI Insight 2021; 6:152472. [PMID: 34935640 PMCID: PMC8783678 DOI: 10.1172/jci.insight.152472] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
A hallmark of chronic bacterial infections is the long-term persistence of 1 or more pathogen species at the compromised site. Repeated detection of the same bacterial species can suggest that a single strain or lineage is continually present. However, infection with multiple strains of a given species, strain acquisition and loss, and changes in strain relative abundance can occur. Detecting strain-level changes and their effects on disease is challenging because most methods require labor-intensive isolate-by-isolate analyses, and thus, only a few cells from large infecting populations can be examined. Here, we present a population-level method for enumerating and measuring the relative abundance of strains called population multi-locus sequence typing (PopMLST). The method exploits PCR amplification of strain-identifying polymorphic loci, next-generation sequencing to measure allelic variants, and informatic methods to determine whether variants arise from sequencing errors or low-abundance strains. These features enable PopMLST to simultaneously interrogate hundreds of bacterial cells that are cultured en masse from patient samples or are present in DNA directly extracted from clinical specimens without ex vivo culture. This method could be used to detect epidemic or super-infecting strains, facilitate understanding of strain dynamics during chronic infections, and enable studies that link strain changes to clinical outcomes.
Collapse
Affiliation(s)
- Sarah J. Morgan
- Department of Microbiology, University of Washington School of Medicine, Seattle, Washington, USA
| | - Samantha L. Durfey
- Department of Microbiology, University of Washington School of Medicine, Seattle, Washington, USA
| | - Sumedha Ravishankar
- Department of Microbiology, University of Washington School of Medicine, Seattle, Washington, USA
| | - Peter Jorth
- Department of Pathology and Laboratory Medicine, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Wendy Ni
- Department of Microbiology, University of Washington School of Medicine, Seattle, Washington, USA
| | - Duncan T. Skerrett
- Department of Microbiology, University of Washington School of Medicine, Seattle, Washington, USA
| | - Moira L. Aitken
- Department of Medicine, University of Washington School of Medicine, Seattle, Washington, USA
| | | | - Stephen J. Salipante
- Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, Washington, USA
| | - Matthew C. Radey
- Department of Microbiology, University of Washington School of Medicine, Seattle, Washington, USA
| | - Pradeep K. Singh
- Department of Microbiology, University of Washington School of Medicine, Seattle, Washington, USA
- Department of Medicine, University of Washington School of Medicine, Seattle, Washington, USA
| |
Collapse
|
28
|
Bozzella MJ, Chaney H, Sami I, Koumbourlis A, Bost JE, Zemanick ET, Freishtat RJ, Crandall KA, Hahn A. Impact of Anaerobic Antibacterial Spectrum on Cystic Fibrosis Airway Microbiome Diversity and Pulmonary Function. Pediatr Infect Dis J 2021; 40:962-968. [PMID: 34269323 PMCID: PMC8511214 DOI: 10.1097/inf.0000000000003211] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
BACKGROUND The role of anaerobic organisms in the cystic fibrosis (CF) lung microbiome is unclear. Our objectives were to investigate the effect of broad (BS) versus narrow (NS) spectrum antianaerobic antibiotic activity on lung microbiome diversity and pulmonary function, hypothesizing that BS antibiotics would cause greater change in microbiome diversity without a significant improvement in lung function. METHODS Pulmonary function tests and respiratory samples were collected prospectively in persons with CF before and after treatment for pulmonary exacerbations. Treatment antibiotics were classified as BS or NS. Gene sequencing data from 16S rRNA were used for diversity analysis and bacterial genera classification. We compared the effects of BS versus NS on diversity indices, lung function and anaerobic/aerobic ratios. Statistical significance was determined by multilevel mixed-effects generalized linear models and mixed-effects regression models. RESULTS Twenty patients, 6-20 years of age, experienced 30 exacerbations. BS therapy had a greater effect on beta diversity than NS therapy when comparing time points before antibiotics to after and at recovery. After antibiotics, the NS therapy group had a greater return toward baseline forced expiratory volume at 1 second and forced expiratory flow 25%-75% values than the BS group. The ratio of anaerobic/aerobic organisms showed a predominance of anaerobes in the NS group with aerobes dominating in the BS group. CONCLUSIONS BS antianaerobic therapy had a greater and possibly longer lasting effect on the lung microbiome of persons with CF, without achieving the recovery of pulmonary function seen with the NS therapy. Specific antibiotic therapies may affect disease progression by changing the airway microbiome.
Collapse
Affiliation(s)
| | - Hollis Chaney
- Division of Pulmonary and Sleep Medicine, Children’s National Hospital
- The George Washington University School of Medicine and Health Sciences
| | - Iman Sami
- Division of Pulmonary and Sleep Medicine, Children’s National Hospital
- The George Washington University School of Medicine and Health Sciences
| | - Anastassios Koumbourlis
- Division of Pulmonary and Sleep Medicine, Children’s National Hospital
- The George Washington University School of Medicine and Health Sciences
| | - James E. Bost
- The George Washington University School of Medicine and Health Sciences
- Division of Biostatistics and Study Methodology, Children’s National Hospital
| | - Edith T. Zemanick
- Department of Pediatrics, University of Colorado Anschutz Medical Campus
| | - Robert J. Freishtat
- The George Washington University School of Medicine and Health Sciences
- Division of Emergency Medicine, Children’s National Hospital
| | - Keith. A. Crandall
- Computational Biology Institute and Department of Biostatistics & Bioinformatics, Milken Institute School of Public Health, George Washington University
| | - Andrea Hahn
- Division of Infectious Diseases, Children’s National Hospital
- The George Washington University School of Medicine and Health Sciences
| |
Collapse
|
29
|
Huang C, Chen H, Ding Y, Ma X, Zhu H, Zhang S, Du W, Summah HD, Shi G, Feng Y. A Microbial World: Could Metagenomic Next-Generation Sequencing Be Involved in Acute Respiratory Failure? Front Cell Infect Microbiol 2021; 11:738074. [PMID: 34671569 PMCID: PMC8522648 DOI: 10.3389/fcimb.2021.738074] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Accepted: 09/10/2021] [Indexed: 11/13/2022] Open
Abstract
Background The usefulness of metagenomic next-generation sequencing (mNGS) in identifying pathogens is being investigated. We aimed to compare the power of microbial identification between mNGS and various methods in patients with acute respiratory failure. Methods We reviewed 130 patients with respiratory failure, and 184 specimens including blood, bronchoalveolar lavage fluid (BALF), sputum, pleural effusion, ascitic fluid, and urine were tested by mNGS and conventional methods (culture, PCR). We also enrolled 13 patients to evaluate the power of mNGS and pathogen targets NGS (ptNGS) in microbial identifications. Clinical features and microbes detected were analyzed. Results mNGS outperformed the conventional method in the positive detection rate of Mycobacterium tuberculosis (MTB) (OR, ∞; 95% CI, 1–∞; P < 0.05), bacteria (OR, 3.7; 95% CI, 2.4–5.8; P < 0.0001), fungi (OR, 4.37; 95% CI, 2.7–7.2; P < 0.0001), mycoplasma (OR, 10.5; 95% CI, 31.8–115; P = 0.005), and virus (OR, ∞; 95% CI, 180.7–∞; P < 0.0001). We showed that 20 patients (28 samples) were detected with Pneumocystis jirovecii (P. jirovecii) by mNGS, but not by the conventional method, and most of those patients were immunocompromised. Read numbers of Klebsiella pneumoniae (K. pneumoniae), Acinetobacter baumannii (A. baumannii), Pseudomonas aeruginosa (P. aeruginosa), P. jirovecii, cytomegalovirus (CMV), and Herpes simplex virus 1 (HSV1) in BALF were higher than those in other sample types, and the read number of Candida albicans (C. albicans) in blood was higher than that in BALF. We found that orotracheal intubation and type 2 diabetes mellitus (T2DM) were associated with a higher detection rate of bacteria and virus by mNGS, immunosuppression was associated with a higher detection rate of fungi and virus by mNGS, and inflammatory markers were associated with mNGS-positive detection rate of bacteria. In addition, we observed preliminary results of ptNGS. Conclusion mNGS outperformed the conventional method in the detection of MTB, bacteria, fungi, mycoplasma, and virus. Orotracheal intubation, T2DM, immunosuppression, and inflammatory markers were associated with a higher detection rate of bacteria, fungi, and virus by mNGS. In addition, ptNGS results were consistent with the detection of abundant bacteria, fungi, and mycoplasma in our specimens.
Collapse
Affiliation(s)
- Chunrong Huang
- Department of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai Key Laboratory of Emergency Prevention, Diagnosis and Treatment of Respiratory Infectious Diseases, Ruijin Hospital, Shanghai, China
| | - Hong Chen
- Department of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai Key Laboratory of Emergency Prevention, Diagnosis and Treatment of Respiratory Infectious Diseases, Ruijin Hospital, Shanghai, China
| | - Yongjie Ding
- Department of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai Key Laboratory of Emergency Prevention, Diagnosis and Treatment of Respiratory Infectious Diseases, Ruijin Hospital, Shanghai, China
| | - Xiaolong Ma
- Department of Respiratory and Critical Care Medicine, The First Hospital of Jiaxing, Jiaxing, China
| | - Haixing Zhu
- Department of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai Key Laboratory of Emergency Prevention, Diagnosis and Treatment of Respiratory Infectious Diseases, Ruijin Hospital, Shanghai, China
| | - Shengxiong Zhang
- Department of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai Key Laboratory of Emergency Prevention, Diagnosis and Treatment of Respiratory Infectious Diseases, Ruijin Hospital, Shanghai, China
| | - Wei Du
- Department of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai Key Laboratory of Emergency Prevention, Diagnosis and Treatment of Respiratory Infectious Diseases, Ruijin Hospital, Shanghai, China
| | - Hanssa Dwarka Summah
- Department of Respiratory and Critical Care Medicine, Poudre D'Or Chest Hospital, Rivière du Rempart, Mauritius
| | - Guochao Shi
- Department of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai Key Laboratory of Emergency Prevention, Diagnosis and Treatment of Respiratory Infectious Diseases, Ruijin Hospital, Shanghai, China
| | - Yun Feng
- Department of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai Key Laboratory of Emergency Prevention, Diagnosis and Treatment of Respiratory Infectious Diseases, Ruijin Hospital, Shanghai, China
| |
Collapse
|
30
|
O’Connor JB, Mottlowitz MM, Wagner BD, Boyne KL, Stevens MJ, Robertson CE, Harris JK, Laguna TA. Divergence of bacterial communities in the lower airways of CF patients in early childhood. PLoS One 2021; 16:e0257838. [PMID: 34613995 PMCID: PMC8494354 DOI: 10.1371/journal.pone.0257838] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Accepted: 09/10/2021] [Indexed: 11/18/2022] Open
Abstract
Rationale Chronic airway infection and inflammation resulting in progressive, obstructive lung disease is the leading cause of morbidity and mortality in cystic fibrosis. Understanding the lower airway microbiota across the ages can provide valuable insight and potential therapeutic targets. Objectives To characterize and compare the lower airway microbiota in cystic fibrosis and disease control subjects across the pediatric age spectrum. Methods Bronchoalveolar lavage fluid samples from 191 subjects (63 with cystic fibrosis) aged 0 to 21 years were collected along with relevant clinical data. We measured total bacterial load using quantitative polymerase chain reaction and performed 16S rRNA gene sequencing to characterize bacterial communities with species-level sensitivity for select genera. Clinical comparisons were investigated. Measurements and main results Cystic fibrosis samples had higher total bacterial load and lower microbial diversity, with a divergence from disease controls around 2–5 years of age, as well as higher neutrophilic inflammation relative to bacterial burden. Cystic fibrosis samples had increased abundance of traditional cystic fibrosis pathogens and decreased abundance of the Streptococcus mitis species group in older subjects. Interestingly, increased diversity in the heterogeneous disease controls was independent of diagnosis and indication. Sequencing was more sensitive than culture, and antibiotic exposure was more common in disease controls, which showed a negative relationship with load and neutrophilic inflammation. Conclusions Analysis of lower airway samples from people with cystic fibrosis and disease controls across the ages revealed key differences in airway microbiota and inflammation. The divergence in subjects during early childhood may represent a window of opportunity for intervention and additional study.
Collapse
Affiliation(s)
- John B. O’Connor
- Division of Pulmonary and Sleep Medicine, Department of Pediatrics, Ann & Robert H. Lurie Children’s Hospital of Chicago, Chicago, Illinois, United States of America
- * E-mail:
| | - Madison M. Mottlowitz
- Division of Pulmonary and Sleep Medicine, Department of Pediatrics, Ann & Robert H. Lurie Children’s Hospital of Chicago, Chicago, Illinois, United States of America
| | - Brandie D. Wagner
- Department of Pediatrics, School of Medicine, University of Colorado, Anschutz Medical Campus, Aurora, Colorado, United States of America
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado, Anschutz Medical Campus, Aurora, Colorado, United States of America
| | - Kathleen L. Boyne
- Division of Pulmonary and Sleep Medicine, Department of Pediatrics, Ann & Robert H. Lurie Children’s Hospital of Chicago, Chicago, Illinois, United States of America
- Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, Illinois, United States of America
- Feinberg School of Medicine, Northwestern University, Chicago, Illinois, United States of America
| | - Mark J. Stevens
- Department of Pediatrics, School of Medicine, University of Colorado, Anschutz Medical Campus, Aurora, Colorado, United States of America
| | - Charles E. Robertson
- Department of Pediatrics, School of Medicine, University of Colorado, Anschutz Medical Campus, Aurora, Colorado, United States of America
| | - Jonathan K. Harris
- Department of Pediatrics, School of Medicine, University of Colorado, Anschutz Medical Campus, Aurora, Colorado, United States of America
| | - Theresa A. Laguna
- Division of Pulmonary and Sleep Medicine, Department of Pediatrics, Ann & Robert H. Lurie Children’s Hospital of Chicago, Chicago, Illinois, United States of America
- Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, Illinois, United States of America
- Feinberg School of Medicine, Northwestern University, Chicago, Illinois, United States of America
| |
Collapse
|
31
|
Si Y, Zhang T, Chen N, Cheng Y, Wang L, Yuan J, Li G, Zong M, Sui G, Fan L. A LAMP-based system for rapid detection of eight common pathogens causing lower respiratory tract infections. J Microbiol Methods 2021; 190:106339. [PMID: 34592373 DOI: 10.1016/j.mimet.2021.106339] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Revised: 09/17/2021] [Accepted: 09/22/2021] [Indexed: 11/19/2022]
Abstract
Lower respiratory tract infections (LRTIs) are a leading cause of morbidity and mortality worldwide and lack a rapid diagnostic method. To improve the diagnosis of LRTIs, we established an available loop-mediated isothermal amplification (LAMP) assay for the detection of eight common lower respiratory pathogens, including Klebsiella pneumoniae, Pseudomonas aeruginosa, Acinetobacter baumannii, Staphylococcus aureus, Escherichia coli, Haemophilus influenzae, Streptococcus pneumoniae, and Moraxella catarrhalis. The whole process can be achieved within 1 h (sample to results read out). We established an extraction free isothermal system. 528 sputum samples collected from patients suspected to have LRTIs were analyzed by the system (8 tests in each sample, a total of 4224 tests) and compared with the standard culture method (SCM). The samples with inconsistent results were further verified by Sanger sequencing and High-throughput sequencing (NGS). The detection limits of the LAMP assay for the 8 pathogens ranged from 103 to 104 CFU/mL. Upon testing 528 samples, the Kappa coefficients of all pathogens ranged between 0.5 and 0.7 indicated a moderate agreement between the LAMP assay and the SCM. All inconsistent samples were further verified by Sanger sequencing, we found that the developed LAMP assay had a higher consistency level with Sanger sequencing than the SCM for all pathogens. Additionally, when the NGS was set to a diagnostic gold standard, the specificity and sensitivity of the LAMP assay for LRTIs were 94.49% and 75.00%. The present study demonstrated that the developed LAMP has high consistency with the sequencing methods. Meanwhile, the LAMP assay has a higher detection rate compared to the SCM. It may be a powerful tool for rapid and reliable clinical diagnosis of LRTIs in primary hospitals.
Collapse
Affiliation(s)
- Yuying Si
- Department of Clinical Laboratory, Shanghai East Hospital, Tongji University School of Medicine, 150 Ji Mo Road, Shanghai 200120, People's Republic of China
| | - Tong Zhang
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science and Engineering, Fudan University, 220 Handan Road, Shanghai 200433, People's Republic of China
| | - Nianzhen Chen
- Department of Clinical Laboratory, Shanghai East Hospital, Tongji University School of Medicine, 150 Ji Mo Road, Shanghai 200120, People's Republic of China
| | - Yu Cheng
- Department of Clinical Laboratory, Shanghai East Hospital, Tongji University School of Medicine, 150 Ji Mo Road, Shanghai 200120, People's Republic of China
| | - Lan Wang
- Department of Clinical Laboratory, Shanghai East Hospital, Tongji University School of Medicine, 150 Ji Mo Road, Shanghai 200120, People's Republic of China
| | - Jiayi Yuan
- Department of Clinical Laboratory, Shanghai East Hospital, Tongji University School of Medicine, 150 Ji Mo Road, Shanghai 200120, People's Republic of China
| | - Gen Li
- Department of Clinical Laboratory, Shanghai East Hospital, Tongji University School of Medicine, 150 Ji Mo Road, Shanghai 200120, People's Republic of China
| | - Ming Zong
- Department of Clinical Laboratory, Shanghai East Hospital, Tongji University School of Medicine, 150 Ji Mo Road, Shanghai 200120, People's Republic of China
| | - Guodong Sui
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science and Engineering, Fudan University, 220 Handan Road, Shanghai 200433, People's Republic of China
| | - Lieying Fan
- Department of Clinical Laboratory, Shanghai East Hospital, Tongji University School of Medicine, 150 Ji Mo Road, Shanghai 200120, People's Republic of China.
| |
Collapse
|
32
|
The role of microbiota in respiratory health and diseases, particularly in tuberculosis. Biomed Pharmacother 2021; 143:112108. [PMID: 34560539 DOI: 10.1016/j.biopha.2021.112108] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Revised: 08/11/2021] [Accepted: 08/23/2021] [Indexed: 12/11/2022] Open
Abstract
Trillions of beneficial and hostile microorganisms live in the human respiratory and gastrointestinal tracts, which act as gatekeepers in maintaining human health, i.e., protecting the body from pathogens by colonizing mucosal surfaces with microbiota-derived antimicrobial metabolites such as short-chain fatty acids or host-derived cytokines and chemokines. It is widely accepted that the microbiome interacts with each other and with the host in a mutually beneficial relationship. Microbiota in the respiratory tract may also play a crucial role in immune homeostasis, maturation, and maintenance of respiratory physiology. Anti-TB antibiotics may cause dysbiosis in the lung and intestinal microbiota, affecting colonization resistance and making the host more susceptible to Mycobacterium tuberculosis (M. tuberculosis) infection. This review discusses recent advances in our understanding of the lung microbiota composition, the lungs and intestinal microbiota related to respiratory health and diseases, microbiome sequencing and analysis, the bloodstream, and the lymphatic system that underpin the gut-lung axis in M. tuberculosis-infected humans and animals. We also discuss the gut-lung axis interactions with the immune system, the role of the microbiome in TB pathogenesis, and the impact of anti-TB antibiotic therapy on the microbiota in animals, humans, and drug-resistant TB individuals.
Collapse
|
33
|
Valdez-Palomares F, Muñoz Torrico M, Palacios-González B, Soberón X, Silva-Herzog E. Altered Microbial Composition of Drug-Sensitive and Drug-Resistant TB Patients Compared with Healthy Volunteers. Microorganisms 2021; 9:1762. [PMID: 34442841 PMCID: PMC8398572 DOI: 10.3390/microorganisms9081762] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Revised: 08/07/2021] [Accepted: 08/11/2021] [Indexed: 01/09/2023] Open
Abstract
Mycobacterium tuberculosis infection has three discernible outcomes: active tuberculosis, latent tuberculosis, or clearance of the bacterium. The outcome of the infection depends on the interaction of the bacterium, the immune system, and the microbiome of the host. The current study uses 16S rRNA sequencing to determine the diversity and composition of the respiratory microbiome of drug-resistant and drug-sensitive tuberculosis patients as well as healthy volunteers. Tuberculosis patients exhibited increased microbial diversity and differentially abundant bacteria than healthy volunteers. Compositional differences were also observed when comparing drug-sensitive or -resistant tuberculosis patients. Finally, we defined and assessed the differences in the core sputum microbiota between tuberculosis patients and healthy volunteers. Our observations collectively suggest that in sputum, Mycobacterium tuberculosis infection is related to altered bacterial diversity and compositional differences of core members of the microbiome, with potential implications for the bacterial pulmonary ecosystem's stability and function.
Collapse
Affiliation(s)
- Fernanda Valdez-Palomares
- Laboratorio de Vinculación Científica, Facultad de Medicina-UNAM en INMEGEN, Mexico City 14610, Mexico; (F.V.-P.); (B.P.-G.)
| | | | - Berenice Palacios-González
- Laboratorio de Vinculación Científica, Facultad de Medicina-UNAM en INMEGEN, Mexico City 14610, Mexico; (F.V.-P.); (B.P.-G.)
| | - Xavier Soberón
- Departamento de Ingeniería Celular y Biocatálisis, Universidad Nacional Autónoma de México (UNAM), Cuernavaca 62210, Mexico;
| | - Eugenia Silva-Herzog
- Laboratorio de Vinculación Científica, Facultad de Medicina-UNAM en INMEGEN, Mexico City 14610, Mexico; (F.V.-P.); (B.P.-G.)
| |
Collapse
|
34
|
Hardouin P, Chiron R, Marchandin H, Armengaud J, Grenga L. Metaproteomics to Decipher CF Host-Microbiota Interactions: Overview, Challenges and Future Perspectives. Genes (Basel) 2021; 12:892. [PMID: 34207804 PMCID: PMC8227082 DOI: 10.3390/genes12060892] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Revised: 05/30/2021] [Accepted: 06/08/2021] [Indexed: 12/17/2022] Open
Abstract
Cystic fibrosis (CF) is a hereditary disease caused by mutations in the CF transmembrane conductance regulator (CFTR) gene, triggering dysfunction of the anion channel in several organs including the lung and gut. The main cause of morbidity and mortality is chronic infection. The microbiota is now included among the additional factors that could contribute to the exacerbation of patient symptoms, to treatment outcome, and more generally to the phenotypic variability observed in CF patients. In recent years, various omics tools have started to shed new light on microbial communities associated with CF and host-microbiota interactions. In this context, proteomics targets the key effectors of the responses from organisms, and thus their phenotypes. Recent advances are promising in terms of gaining insights into the CF microbiota and its relation with the host. This review provides an overview of the contributions made by proteomics and metaproteomics to our knowledge of the complex host-microbiota partnership in CF. Considering the strengths and weaknesses of proteomics-based approaches in profiling the microbiota in the context of other diseases, we illustrate their potential and discuss possible strategies to overcome their limitations in monitoring both the respiratory and intestinal microbiota in sample from patients with CF.
Collapse
Affiliation(s)
- Pauline Hardouin
- Laboratoire Innovations technologiques pour la Détection et le Diagnostic (Li2D), Université de Montpellier, 30207 Bagnols-sur-Cèze, France;
- Département Médicaments et Technologies pour la Santé (DMTS), Université Paris-Saclay, CEA, INRAE, SPI, 30200 Bagnols-sur-Cèze, France;
| | - Raphael Chiron
- HydroSciences Montpellier, CNRS, IRD, Université de Montpellier, Centre de Ressources et de Compétences de la Mucoviscidose, CHU de Montpellier, 34093 Montpellier, France;
| | - Hélène Marchandin
- HydroSciences Montpellier, CNRS, IRD, Université de Montpellier, Service de Microbiologie et Hygiène Hospitalière, CHU Nîmes, 34093 Nîmes, France;
| | - Jean Armengaud
- Département Médicaments et Technologies pour la Santé (DMTS), Université Paris-Saclay, CEA, INRAE, SPI, 30200 Bagnols-sur-Cèze, France;
| | - Lucia Grenga
- Département Médicaments et Technologies pour la Santé (DMTS), Université Paris-Saclay, CEA, INRAE, SPI, 30200 Bagnols-sur-Cèze, France;
| |
Collapse
|
35
|
Amar Y, Lagkouvardos I, Silva RL, Ishola OA, Foesel BU, Kublik S, Schöler A, Niedermeier S, Bleuel R, Zink A, Neuhaus K, Schloter M, Biedermann T, Köberle M. Pre-digest of unprotected DNA by Benzonase improves the representation of living skin bacteria and efficiently depletes host DNA. MICROBIOME 2021; 9:123. [PMID: 34039428 PMCID: PMC8157445 DOI: 10.1186/s40168-021-01067-0] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Accepted: 04/01/2021] [Indexed: 05/09/2023]
Abstract
BACKGROUND The identification of microbiota based on next-generation sequencing (NGS) of extracted DNA has drastically improved our understanding of the role of microbial communities in health and disease. However, DNA-based microbiome analysis cannot per se differentiate between living and dead microorganisms. In environments such as the skin, host defense mechanisms including antimicrobial peptides and low cutaneous pH result in a high microbial turnover, likely resulting in high numbers of dead cells present and releasing substantial amounts of microbial DNA. NGS analyses may thus lead to inaccurate estimations of microbiome structures and consequently functional capacities. RESULTS We investigated in this study the feasibility of a Benzonase-based approach (BDA) to pre-digest unprotected DNA, i.e., of dead microbial cells, as a method to overcome these limitations, thus offering a more accurate assessment of the living microbiome. A skin mock community as well as skin microbiome samples were analyzed using 16S rRNA gene sequencing and metagenomics sequencing after DNA extraction with and without a Benzonase digest to assess bacterial diversity patterns. The BDA method resulted in less reads from dead bacteria both in the skin mock community and skin swabs spiked with either heat-inactivated bacteria or bacterial-free DNA. This approach also efficiently depleted host DNA reads in samples with high human-to-microbial DNA ratios, with no obvious impact on the microbiome profile. We further observed that low biomass samples generate an α-diversity bias when the bacterial load is lower than 105 CFU and that Benzonase digest is not sufficient to overcome this bias. CONCLUSIONS The BDA approach enables both a better assessment of the living microbiota and depletion of host DNA reads. Video abstract.
Collapse
Affiliation(s)
- Yacine Amar
- Department of Dermatology and Allergology, Technical University of Munich, School of Medicine, Munich, Germany
- Clinical Unit Allergology Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH), Helmholtz Zentrum München, 85764, Neuherberg, Germany
| | - Ilias Lagkouvardos
- Institute of Marine Biology, Biotechnology and Aquaculture (IMBBC), HCMR, Heraklion, Greece
- Core Facility Microbiome, Technische Universität München, 85354, Freising, Germany
| | - Rafaela L Silva
- Department of Dermatology and Allergology, Technical University of Munich, School of Medicine, Munich, Germany
- Clinical Unit Allergology Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH), Helmholtz Zentrum München, 85764, Neuherberg, Germany
| | - Oluwaseun Ayodeji Ishola
- Research Unit Comparative Microbiome Analysis, Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH), Helmholtz Zentrum München, 85764, Neuherberg, Germany
| | - Bärbel U Foesel
- Research Unit Comparative Microbiome Analysis, Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH), Helmholtz Zentrum München, 85764, Neuherberg, Germany
| | - Susanne Kublik
- Research Unit Comparative Microbiome Analysis, Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH), Helmholtz Zentrum München, 85764, Neuherberg, Germany
| | - Anne Schöler
- Research Unit Comparative Microbiome Analysis, Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH), Helmholtz Zentrum München, 85764, Neuherberg, Germany
- DKFZ German Cancer Research Center, Berlin, Germany
| | - Sebastian Niedermeier
- Department of Dermatology and Allergology, Technical University of Munich, School of Medicine, Munich, Germany
| | - Rachela Bleuel
- Department of Dermatology and Allergology, Technical University of Munich, School of Medicine, Munich, Germany
- Clinical Unit Allergology Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH), Helmholtz Zentrum München, 85764, Neuherberg, Germany
| | - Alexander Zink
- Department of Dermatology and Allergology, Technical University of Munich, School of Medicine, Munich, Germany
- Clinical Unit Allergology Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH), Helmholtz Zentrum München, 85764, Neuherberg, Germany
| | - Klaus Neuhaus
- Core Facility Microbiome, Technische Universität München, 85354, Freising, Germany
- ZIEL - Institute for Food & Health, Technische Universität München, 85354, Freising, Germany
| | - Michael Schloter
- Research Unit Comparative Microbiome Analysis, Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH), Helmholtz Zentrum München, 85764, Neuherberg, Germany
- ZIEL - Institute for Food & Health, Technische Universität München, 85354, Freising, Germany
| | - Tilo Biedermann
- Department of Dermatology and Allergology, Technical University of Munich, School of Medicine, Munich, Germany.
- Clinical Unit Allergology Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH), Helmholtz Zentrum München, 85764, Neuherberg, Germany.
| | - Martin Köberle
- Department of Dermatology and Allergology, Technical University of Munich, School of Medicine, Munich, Germany
| |
Collapse
|
36
|
Jorth P, Durfey S, Rezayat A, Garudathri J, Ratjen A, Staudinger BJ, Radey MC, Genatossio A, McNamara S, Cook DA, Aitken ML, Gibson RL, Yahr TL, Singh PK. Cystic Fibrosis Lung Function Decline after Within-Host Evolution Increases Virulence of Infecting Pseudomonas aeruginosa. Am J Respir Crit Care Med 2021; 203:637-640. [PMID: 33137262 DOI: 10.1164/rccm.202007-2735le] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Affiliation(s)
- Peter Jorth
- University of Washington School of Medicine Seattle, Washington.,Cedars-Sinai Medical Center Los Angeles, California
| | - Samantha Durfey
- University of Washington School of Medicine Seattle, Washington
| | - Amir Rezayat
- University of Washington School of Medicine Seattle, Washington
| | | | - Anina Ratjen
- University of Washington School of Medicine Seattle, Washington
| | | | - Matthew C Radey
- University of Washington School of Medicine Seattle, Washington
| | | | | | - David A Cook
- Confluence Health-Central Washington Hospital Wenatchee, Washington and
| | - Moira L Aitken
- University of Washington School of Medicine Seattle, Washington
| | - Ronald L Gibson
- University of Washington School of Medicine Seattle, Washington
| | | | - Pradeep K Singh
- University of Washington School of Medicine Seattle, Washington
| |
Collapse
|
37
|
Abstract
Cystic fibrosis patients frequently suffer from recurring respiratory infections caused by colonizing pathogenic and commensal bacteria. Although modern therapies can sometimes alleviate respiratory symptoms by ameliorating residual function of the protein responsible for the disorder, management of chronic respiratory infections remains an issue. In cystic fibrosis, dynamic and complex communities of microbial pathogens and commensals can colonize the lung. Cultured isolates from lung sputum reveal high inter- and intraindividual variability in pathogen strains, sequence variants, and phenotypes; disease progression likely depends on the precise combination of infecting lineages. Routine clinical protocols, however, provide a limited overview of the colonizer populations. Therefore, a more comprehensive and precise identification and characterization of infecting lineages could assist in making corresponding decisions on treatment. Here, we describe longitudinal tracking for four cystic fibrosis patients who exhibited extreme clinical phenotypes and, thus, were selected from a pilot cohort of 11 patients with repeated sampling for more than a year. Following metagenomics sequencing of lung sputum, we find that the taxonomic identity of individual colonizer lineages can be easily established. Crucially, even superficially clonal pathogens can be subdivided into multiple sublineages at the sequence level. By tracking individual allelic differences over time, an assembly-free clustering approach allows us to reconstruct multiple lineage-specific genomes with clear structural differences. Our study showcases a culture-independent shotgun metagenomics approach for longitudinal tracking of sublineage pathogen dynamics, opening up the possibility of using such methods to assist in monitoring disease progression through providing high-resolution routine characterization of the cystic fibrosis lung microbiome.
Collapse
|
38
|
Ran Z, Liu J, Wang F, Xin C, Xiong B, Song Z. Pulmonary Micro-Ecological Changes and Potential Microbial Markers in Lung Cancer Patients. Front Oncol 2021; 10:576855. [PMID: 33537234 PMCID: PMC7848173 DOI: 10.3389/fonc.2020.576855] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2020] [Accepted: 11/30/2020] [Indexed: 12/24/2022] Open
Abstract
The relationship between the microbiome and disease has been investigated for many years. As a highly malignant tumor, biomarkers for lung cancer are diverse. However, precision of these biomarkers has not yet been achieved. It has been confirmed that lung microecology changes in lung cancer patients compared with healthy individuals. Furthermore, the abundance of some bacterial species shows obvious changes, suggesting their potential use as a microbial marker for the detection of lung cancer. In addition, recent studies have confirmed that inflammation, immune response, virulence factors, and metabolism may be potential mechanisms linking the microbiome with carcinogenesis. In this review, microbiome studies of lung cancer, potential mechanisms, potential microbial markers, and the influence of the microbiome on the diagnosis and treatment of lung cancer are summarized, providing theoretical strategies for the diagnosis and treatment of lung cancer.
Collapse
Affiliation(s)
- Zhuonan Ran
- The Second Department of Pulmonary and Critical Care Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Jiexing Liu
- The Second Department of Pulmonary and Critical Care Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Fen Wang
- School of Basic Medical Sciences, Southwest Medical University, Luzhou, China
| | - Caiyan Xin
- School of Basic Medical Sciences, Southwest Medical University, Luzhou, China
| | - Bin Xiong
- The Second Department of Pulmonary and Critical Care Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Zhangyong Song
- School of Basic Medical Sciences, Southwest Medical University, Luzhou, China.,Molecular Biotechnology Platform, Public Center of Experimental Technology, Southwest Medical University, Luzhou, China
| |
Collapse
|
39
|
Felton E, Burrell A, Chaney H, Sami I, Koumbourlis AC, Freishtat RJ, Crandall KA, Hahn A. Inflammation in children with cystic fibrosis: contribution of bacterial production of long-chain fatty acids. Pediatr Res 2021; 90:99-108. [PMID: 33654282 PMCID: PMC8370878 DOI: 10.1038/s41390-021-01419-4] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2020] [Accepted: 02/02/2021] [Indexed: 01/12/2023]
Abstract
BACKGROUND Cystic fibrosis (CF) affects >70,000 people worldwide, yet the microbiologic trigger for pulmonary exacerbations (PExs) remains unknown. The objective of this study was to identify changes in bacterial metabolic pathways associated with clinical status. METHODS Respiratory samples were collected at hospital admission for PEx, end of intravenous (IV) antibiotic treatment, and follow-up from 27 hospitalized children with CF. Bacterial DNA was extracted and shotgun DNA sequencing was performed. MetaPhlAn2 and HUMAnN2 were used to evaluate bacterial taxonomic and pathway relative abundance, while DESeq2 was used to evaluate differential abundance based on clinical status. RESULTS The mean age of study participants was 10 years; 85% received combination IV antibiotic therapy (beta-lactam plus a second agent). Long-chain fatty acid (LCFA) biosynthesis pathways were upregulated in follow-up samples compared to end of treatment: gondoate (p = 0.012), oleate (p = 0.048), palmitoleate (p = 0.043), and pathways of fatty acid elongation (p = 0.012). Achromobacter xylosoxidans and Escherichia sp. were also more prevalent in follow-up compared to PEx (p < 0.001). CONCLUSIONS LCFAs may be associated with persistent infection of opportunistic pathogens. Future studies should more closely investigate the role of LCFA production by lung bacteria in the transition from baseline wellness to PEx in persons with CF. IMPACT Increased levels of LCFAs are found after IV antibiotic treatment in persons with CF. LCFAs have previously been associated with increased lung inflammation in asthma. This is the first report of LCFAs in the airway of persons with CF. This research provides support that bacterial production of LCFAs may be a contributor to inflammation in persons with CF. Future studies should evaluate LCFAs as predictors of future PExs.
Collapse
Affiliation(s)
- Erin Felton
- grid.253615.60000 0004 1936 9510School of Medicine and Health Sciences, George Washington University, Washington, DC USA
| | - Aszia Burrell
- grid.239560.b0000 0004 0482 1586Center for Genetic Medicine Research, Children’s National Research Institute, Washington, DC USA
| | - Hollis Chaney
- grid.253615.60000 0004 1936 9510Department of Pediatrics, George Washington University School of Medicine and Health Sciences, Washington, DC USA ,grid.239560.b0000 0004 0482 1586Division of Pulmonary and Sleep Medicine, Children’s National Hospital, Washington, DC USA
| | - Iman Sami
- grid.253615.60000 0004 1936 9510Department of Pediatrics, George Washington University School of Medicine and Health Sciences, Washington, DC USA ,grid.239560.b0000 0004 0482 1586Division of Pulmonary and Sleep Medicine, Children’s National Hospital, Washington, DC USA
| | - Anastassios C. Koumbourlis
- grid.253615.60000 0004 1936 9510Department of Pediatrics, George Washington University School of Medicine and Health Sciences, Washington, DC USA ,grid.239560.b0000 0004 0482 1586Division of Pulmonary and Sleep Medicine, Children’s National Hospital, Washington, DC USA
| | - Robert J. Freishtat
- grid.239560.b0000 0004 0482 1586Center for Genetic Medicine Research, Children’s National Research Institute, Washington, DC USA ,grid.253615.60000 0004 1936 9510Department of Pediatrics, George Washington University School of Medicine and Health Sciences, Washington, DC USA ,grid.239560.b0000 0004 0482 1586Division of Emergency Medicine, Children’s National Hospital, Washington, DC USA
| | - Keith A. Crandall
- grid.253615.60000 0004 1936 9510Department of Biostatistics and Bioinformatics, Computational Biology Institute, Milken Institute School of Public Health, George Washington University, Washington, DC USA
| | - Andrea Hahn
- Center for Genetic Medicine Research, Children's National Research Institute, Washington, DC, USA. .,Department of Pediatrics, George Washington University School of Medicine and Health Sciences, Washington, DC, USA. .,Division of Infectious Disease, Children's National Hospital, Washington, DC, USA.
| |
Collapse
|
40
|
Chao L, Li J, Zhang Y, Pu H, Yan X. Application of next generation sequencing-based rapid detection platform for microbiological diagnosis and drug resistance prediction in acute lower respiratory infection. ANNALS OF TRANSLATIONAL MEDICINE 2020; 8:1644. [PMID: 33490156 PMCID: PMC7812213 DOI: 10.21037/atm-20-7081] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Background Acute lower respiratory infections (ALRIs) have a high mortality rate. We aimed to apply a platform that rapidly detects 36 microorganisms and 49 antibiotic resistance markers in the clinical diagnosis of ALRI and drug resistance prediction. Methods Multicenter collection of clinical samples from patients with ALRIs was carried out from 2017 to 2018. Sputum culture (SC) was performed, which provided two outcomes: the detected pathogens and the resistance to different antibiotics. Additionally, each sputum sample was used to extract deoxyribonucleic acids (DNAs) followed by high-throughput sequencing. Results Eleven commonly observed pathogens were surveyed, and for all samples with positive SC results (137 cases), the overall coverage was 95.62% according to the sequencing results. The receiver operating characteristic (ROC) curve was drawn, and cutoff reads of the most frequently detected pathogens were acquired. Overall, sequencing exhibited significantly higher sensitivity in the detection of pathogens compared with the traditional SC method, with a generally satisfactory specificity. Furthermore, we investigated the correlation between antibiotic resistance gene phenotypes and the actual outcomes of the drug sensitivity test, and some significant correlations were found, especially for the resistance to Amikacin in the presence of blaOXA7. Conclusions Sequencing-based sputum metagenomics can reveal a profile of the lung pathogen microbiome. The sequencing method offers both sufficient accuracy and significantly higher sensitivity in the detection of pathogens, and can be at least a complementary approach to traditional SC reporting. The sequencing technique also revealed some novel potential correlations between the presence of different pathogens, as well as new antimicrobial-resistant genes.
Collapse
Affiliation(s)
- Lingshan Chao
- Department of Respiratory and Critical Care Medicine, the Second Hospital of Hebei Medical University, Shijiazhuang, China
| | - Jihong Li
- Department of Laboratory Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, China
| | - Ya'nan Zhang
- Department of Science and Technology, Shanghai Pathogeno Medical Technology Co., Ltd., Shanghai, China
| | - Hao Pu
- Department of Science and Technology, Shanghai Pathogeno Medical Technology Co., Ltd., Shanghai, China
| | - Xixin Yan
- Department of Respiratory and Critical Care Medicine, the Second Hospital of Hebei Medical University, Shijiazhuang, China
| |
Collapse
|
41
|
Mac Aogáin M, Lau KJX, Cai Z, Kumar Narayana J, Purbojati RW, Drautz-Moses DI, Gaultier NE, Jaggi TK, Tiew PY, Ong TH, Siyue Koh M, Lim Yick Hou A, Abisheganaden JA, Tsaneva-Atanasova K, Schuster SC, Chotirmall SH. Metagenomics Reveals a Core Macrolide Resistome Related to Microbiota in Chronic Respiratory Disease. Am J Respir Crit Care Med 2020; 202:433-447. [PMID: 32320621 PMCID: PMC7397787 DOI: 10.1164/rccm.201911-2202oc] [Citation(s) in RCA: 51] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Rationale: Long-term antibiotic use for managing chronic respiratory disease is increasing; however, the role of the airway resistome and its relationship to host microbiomes remains unknown.Objectives: To evaluate airway resistomes and relate them to host and environmental microbiomes using ultradeep metagenomic shotgun sequencing.Methods: Airway specimens from 85 individuals with and without chronic respiratory disease (severe asthma, chronic obstructive pulmonary disease, and bronchiectasis) were subjected to metagenomic sequencing to an average depth exceeding 20 million reads. Respiratory and device-associated microbiomes were evaluated on the basis of taxonomical classification and functional annotation including the Comprehensive Antibiotic Resistance Database to determine airway resistomes. Co-occurrence networks of gene-microbe association were constructed to determine potential microbial sources of the airway resistome. Paired patient-inhaler metagenomes were compared (n = 31) to assess for the presence of airway-environment overlap in microbiomes and/or resistomes.Measurements and Main Results: Airway metagenomes exhibit taxonomic and metabolic diversity and distinct antimicrobial resistance patterns. A "core" airway resistome dominated by macrolide but with high prevalence of β-lactam, fluoroquinolone, and tetracycline resistance genes exists and is independent of disease status or antibiotic exposure. Streptococcus and Actinomyces are key potential microbial reservoirs of macrolide resistance including the ermX, ermF, and msrD genes. Significant patient-inhaler overlap in airway microbiomes and their resistomes is identified where the latter may be a proxy for airway microbiome assessment in chronic respiratory disease.Conclusions: Metagenomic analysis of the airway reveals a core macrolide resistome harbored by the host microbiome.
Collapse
Affiliation(s)
| | - Kenny J X Lau
- Singapore Centre for Environmental Life Sciences Engineering, Nanyang Technological University, Singapore, Singapore
| | - Zhao Cai
- Singapore Centre for Environmental Life Sciences Engineering, Nanyang Technological University, Singapore, Singapore
| | | | - Rikky W Purbojati
- Singapore Centre for Environmental Life Sciences Engineering, Nanyang Technological University, Singapore, Singapore
| | - Daniela I Drautz-Moses
- Singapore Centre for Environmental Life Sciences Engineering, Nanyang Technological University, Singapore, Singapore
| | - Nicolas E Gaultier
- Singapore Centre for Environmental Life Sciences Engineering, Nanyang Technological University, Singapore, Singapore
| | | | - Pei Yee Tiew
- Lee Kong Chian School of Medicine and.,Department of Respiratory and Critical Care Medicine, Singapore General Hospital, Singapore, Singapore
| | - Thun How Ong
- Department of Respiratory and Critical Care Medicine, Singapore General Hospital, Singapore, Singapore
| | - Mariko Siyue Koh
- Department of Respiratory and Critical Care Medicine, Singapore General Hospital, Singapore, Singapore
| | - Albert Lim Yick Hou
- Department of Respiratory and Critical Care Medicine, Tan Tock Seng Hospital, Singapore, Singapore; and
| | - John A Abisheganaden
- Department of Respiratory and Critical Care Medicine, Tan Tock Seng Hospital, Singapore, Singapore; and
| | - Krasimira Tsaneva-Atanasova
- Department of Mathematics, College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, United Kingdom
| | - Stephan C Schuster
- Singapore Centre for Environmental Life Sciences Engineering, Nanyang Technological University, Singapore, Singapore
| | | |
Collapse
|
42
|
Liu J, Ran Z, Wang F, Xin C, Xiong B, Song Z. Role of pulmonary microorganisms in the development of chronic obstructive pulmonary disease. Crit Rev Microbiol 2020; 47:1-12. [PMID: 33040638 DOI: 10.1080/1040841x.2020.1830748] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Chronic obstructive pulmonary disease (COPD) is a chronic obstructive respiratory disease characterized by irreversible airway limitation and persistent respiratory symptoms. The main clinical symptoms of COPD are dyspnoea, chronic cough, and sputum. COPD is often accompanied by other respiratory diseases, which can cause worsening of the disease. COPD patients with dyspnoea and aggravation of cough and sputum symptoms represent acute exacerbations of COPD (AECOPD). There is mounting evidence suggesting that dysbiosis of pulmonary microbiota participates in the disease. However, investigations of dysbiosis of pulmonary microbiota and the disease are still in initial phases. To screen, diagnose, and treat this respiratory disease, integrating data from different studies can improve our understanding of the occurrence and development of COPD and AECOPD. In this review, COPD epidemiology and the primary triggering mechanism are explored. Emerging knowledge regarding the association of inflammation, caused by pulmonary microbiome imbalance, and changes in lung microbiome flora species involved in the development of the disease are also highlighted. These data will further our understanding of the pathogenesis of COPD and AECOPD and may yield novel strategies for the use of pulmonary microbiota as a potential therapeutic intervention.
Collapse
Affiliation(s)
- Jiexing Liu
- Department of Respiratory and Critical Care Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, PR China
| | - Zhuonan Ran
- Department of Respiratory and Critical Care Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, PR China
| | - Fen Wang
- School of Basic Medical Sciences, Southwest Medical University, Luzhou, PR China
| | - Caiyan Xin
- School of Basic Medical Sciences, Southwest Medical University, Luzhou, PR China
| | - Bin Xiong
- Department of Respiratory and Critical Care Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, PR China
| | - Zhangyong Song
- School of Basic Medical Sciences, Southwest Medical University, Luzhou, PR China.,Molecular Biotechnology Platform, Public Center of Experimental Technology, Southwest Medical University, Luzhou, PR China
| |
Collapse
|
43
|
Lee AJ, Einarsson GG, Gilpin DF, Tunney MM. Multi-Omics Approaches: The Key to Improving Respiratory Health in People With Cystic Fibrosis? Front Pharmacol 2020; 11:569821. [PMID: 33013411 PMCID: PMC7509435 DOI: 10.3389/fphar.2020.569821] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Accepted: 08/17/2020] [Indexed: 12/16/2022] Open
Abstract
The advent of high-throughput multi-omics technologies has underpinned the expansion in lung microbiome research, increasing our understanding of the nature, complexity and significance of the polymicrobial communities harbored by people with CF (PWCF). Having established that structurally complex microbial communities exist within the airways, the focus of recent research has now widened to investigating the function and dynamics of the resident microbiota during disease as well as in health. With further refinement, multi-omics approaches present the opportunity to untangle the complex interplay between microbe-microbe and microbe-host interactions in the lung and the relationship with respiratory disease progression, offering invaluable opportunities to discover new therapeutic approaches for our management of airway infection in CF.
Collapse
Affiliation(s)
- Andrew J. Lee
- Halo Research Group, Queen’s University Belfast, Belfast, United Kingdom
- Centre for Experimental Medicine, School of Medicine, Dentistry and Biomedical Sciences, Queen’s University Belfast, Belfast, United Kingdom
| | - Gisli G. Einarsson
- Halo Research Group, Queen’s University Belfast, Belfast, United Kingdom
- Centre for Experimental Medicine, School of Medicine, Dentistry and Biomedical Sciences, Queen’s University Belfast, Belfast, United Kingdom
| | - Deirdre F. Gilpin
- Halo Research Group, Queen’s University Belfast, Belfast, United Kingdom
- School of Pharmacy, Queen’s University Belfast, Belfast, United Kingdom
| | - Michael M. Tunney
- Halo Research Group, Queen’s University Belfast, Belfast, United Kingdom
- School of Pharmacy, Queen’s University Belfast, Belfast, United Kingdom
| |
Collapse
|
44
|
Nelson MT, Wolter DJ, Eng A, Weiss EJ, Vo AT, Brittnacher MJ, Hayden HS, Ravishankar S, Bautista G, Ratjen A, Blackledge M, McNamara S, Nay L, Majors C, Miller SI, Borenstein E, Simon RH, LiPuma JJ, Hoffman LR. Maintenance tobramycin primarily affects untargeted bacteria in the CF sputum microbiome. Thorax 2020; 75:780-790. [PMID: 32631930 PMCID: PMC7875198 DOI: 10.1136/thoraxjnl-2019-214187] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2019] [Revised: 05/15/2020] [Accepted: 05/28/2020] [Indexed: 01/16/2023]
Abstract
RATIONALE The most common antibiotic used to treat people with cystic fibrosis (PWCF) is inhaled tobramycin, administered as maintenance therapy for chronic Pseudomonas aeruginosa lung infections. While the effects of inhaled tobramycin on P. aeruginosa abundance and lung function diminish with continued therapy, this maintenance treatment is known to improve long-term outcomes, underscoring how little is known about why antibiotics work in CF infections, what their effects are on complex CF sputum microbiomes and how to improve these treatments. OBJECTIVES To rigorously define the effect of maintenance tobramycin on CF sputum microbiome characteristics. METHODS AND MEASUREMENTS We collected sputum from 30 PWCF at standardised times before, during and after a single month-long course of maintenance inhaled tobramycin. We used traditional culture, quantitative PCR and metagenomic sequencing to define the dynamic effects of this treatment on sputum microbiomes, including abundance changes in both clinically targeted and untargeted bacteria, as well as functional gene categories. MAIN RESULTS CF sputum microbiota changed most markedly by 1 week of antibiotic therapy and plateaued thereafter, and this shift was largely driven by changes in non-dominant taxa. The genetically conferred functional capacities (ie, metagenomes) of subjects' sputum communities changed little with antibiotic perturbation, despite taxonomic shifts, suggesting functional redundancy within the CF sputum microbiome. CONCLUSIONS Maintenance treatment with inhaled tobramycin, an antibiotic with demonstrated long-term mortality benefit, primarily impacted clinically untargeted bacteria in CF sputum, highlighting the importance of monitoring the non-canonical effects of antibiotics and other treatments to accurately define and improve their clinical impact.
Collapse
Affiliation(s)
- Maria T Nelson
- Pediatrics, University of Washington School of Medicine, Seattle, Washington, USA
- Medical Scientist Training Program, University of Washington School of Medicine, Seattle, Washington, United States
- Molecular and Cellular Biology, University of Washington School of Medicine, Seattle, Washington, United States
| | - Daniel J Wolter
- Pediatrics, University of Washington School of Medicine, Seattle, Washington, USA
- Pediatrics, Seattle Children's Hospital, Seattle, Washington, USA
| | - Alexander Eng
- Genome Sciences, University of Washington School of Medicine, Seattle, Washington, USA
| | - Eli J Weiss
- Microbiology, University of Washington School of Medicine, Seattle, Washington, USA
| | - Anh T Vo
- Microbiology, University of Washington School of Medicine, Seattle, Washington, USA
| | | | - Hillary S Hayden
- Microbiology, University of Washington School of Medicine, Seattle, Washington, USA
| | - Sumedha Ravishankar
- Microbiology, University of Washington School of Medicine, Seattle, Washington, USA
| | - Gilbert Bautista
- Microbiology, University of Washington School of Medicine, Seattle, Washington, USA
| | - Anina Ratjen
- Microbiology, University of Washington School of Medicine, Seattle, Washington, USA
| | | | - Sharon McNamara
- Pediatrics, Seattle Children's Hospital, Seattle, Washington, USA
| | - Laura Nay
- Pediatrics, Seattle Children's Hospital, Seattle, Washington, USA
| | - Cheryl Majors
- Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Samuel I Miller
- Genome Sciences, University of Washington School of Medicine, Seattle, Washington, USA
- Microbiology, University of Washington School of Medicine, Seattle, Washington, USA
- Department of Medicine, University of Washington School of Medicine, Seattle, Washington, United States
| | - Elhanan Borenstein
- Genome Sciences, University of Washington School of Medicine, Seattle, Washington, USA
- Blavatnik School of Computer Science, Tel Aviv University, Tel Aviv, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Richard H Simon
- Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - John J LiPuma
- Pediatrics and Communicable Diseases, University of Michigan, Ann Arbor, Michigan, USA
| | - Luke R Hoffman
- Pediatrics, University of Washington School of Medicine, Seattle, Washington, USA
- Pediatrics, Seattle Children's Hospital, Seattle, Washington, USA
- Microbiology, University of Washington School of Medicine, Seattle, Washington, USA
| |
Collapse
|
45
|
Latorre-Pérez A, Pascual J, Porcar M, Vilanova C. A lab in the field: applications of real-time, in situ metagenomic sequencing. Biol Methods Protoc 2020; 5:bpaa016. [PMID: 33134552 PMCID: PMC7585387 DOI: 10.1093/biomethods/bpaa016] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2020] [Revised: 08/07/2020] [Accepted: 08/18/2020] [Indexed: 01/18/2023] Open
Abstract
High-throughput metagenomic sequencing is considered one of the main technologies fostering the development of microbial ecology. Widely used second-generation sequencers have enabled the analysis of extremely diverse microbial communities, the discovery of novel gene functions, and the comprehension of the metabolic interconnections established among microbial consortia. However, the high cost of the sequencers and the complexity of library preparation and sequencing protocols still hamper the application of metagenomic sequencing in a vast range of real-life applications. In this context, the emergence of portable, third-generation sequencers is becoming a popular alternative for the rapid analysis of microbial communities in particular scenarios, due to their low cost, simplicity of operation, and rapid yield of results. This review discusses the main applications of real-time, in situ metagenomic sequencing developed to date, highlighting the relevance of this technology in current challenges (such as the management of global pathogen outbreaks) and in the next future of industry and clinical diagnosis.
Collapse
Affiliation(s)
| | | | - Manuel Porcar
- Darwin Bioprospecting Excellence SL, Valencia, Spain
- Institute for Integrative Systems Biology, I2SysBio, University of Valencia-CSIC, Valencia, Spain
| | | |
Collapse
|
46
|
Ran Z, Liu J, Wang F, Xin C, Shen X, Zeng S, Song Z, Xiong B. [Analysis of Pulmonary Microbial Diversity in Patients with Advanced Lung Cancer Based on High-throughput Sequencing Technology]. ZHONGGUO FEI AI ZA ZHI = CHINESE JOURNAL OF LUNG CANCER 2020; 23:1031-1038. [PMID: 32758346 PMCID: PMC7786226 DOI: 10.3779/j.issn.1009-3419.2020.103.16] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
背景与目的 肺部微生物组与肺部疾病的发生密切相关,微生物可从多方面促进肿瘤的发生与发展。既往研究证实肺癌患者肺部微生物组较健康人发生了变化,但关于不同类型肺癌患者中肺部微生物组的微生物组成尚未明确。本研究旨在探讨不同组织学类型肺癌间的微生物组相关性及差异性。 方法 采用Illumina HiSeq高通量测序技术对晚期肺癌患者痰样本进行细菌V3-V4区的16S rDNA测序及生物信息学分析。 结果 经物种分类分析发现肺癌患者痰样本中以链球菌属、奈瑟氏菌属、普雷沃氏菌属为主。腺癌(adenocarcinoma, AD)组以链球菌属及奈瑟氏菌属为主,小细胞肺癌(small cell lung cancer, SCLC)组以奈瑟氏菌属为主,鳞状细胞癌(squamous cell carcinoma, SCC)组以链球菌属为主,混合型小细胞肺癌(combined small cell lung cancer, C-SCLC)组以链球菌属为主。 结论 不同组织学类型肺癌的肺部细菌微生物组结构及组成存在差异性,不同组织学类型肺癌间优势菌群有所不同,本研究丰富了肺癌肺部细菌微生物组学数据。
Collapse
Affiliation(s)
- Zhuonan Ran
- The Department of Pulmonary and Critical Care Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou 646000, China
| | - Jiexing Liu
- The Department of Pulmonary and Critical Care Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou 646000, China
| | - Fen Wang
- Department of Pathogenic Biology, School of Basic Medical Sciences, Southwest Medical University, Luzhou 646000, China
| | - Caiyan Xin
- Department of Pathogenic Biology, School of Basic Medical Sciences, Southwest Medical University, Luzhou 646000, China
| | - Xiang Shen
- The Department of Pulmonary and Critical Care Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou 646000, China
| | - Shan Zeng
- The Department of Pulmonary and Critical Care Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou 646000, China
| | - Zhangyong Song
- Department of Pathogenic Biology, School of Basic Medical Sciences, Southwest Medical University, Luzhou 646000, China.,Molecular Biotechnology Platform, Public Center of Experimental Technology, Southwest Medical University, Luzhou 646000, China
| | - Bin Xiong
- The Department of Pulmonary and Critical Care Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou 646000, China
| |
Collapse
|
47
|
Khatiwada S, Subedi A. Lung microbiome and coronavirus disease 2019 (COVID-19): Possible link and implications. HUMAN MICROBIOME JOURNAL 2020; 17:100073. [PMID: 32835135 PMCID: PMC7405772 DOI: 10.1016/j.humic.2020.100073] [Citation(s) in RCA: 62] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Coronavirus disease 2019 (COVID-19) is a rapidly emerging disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The disease begins as an infection of lungs, which is self-limiting in the majority of infections; however, some develop severe respiratory distress and organ failures. Lung microbiome, though neglected previously have received interest recently because of its association with several respiratory diseases and immunity. Lung microbiome can modify the risk and consequences of COVID-19 disease by activating an innate and adaptive immune response. In this review, we examine the current evidence on COVID-19 disease and lung microbiome, and how lung microbiome can affect SARS-CoV-2 infection and the outcomes of this disease. To date there is no direct evidence from human or animal studies on the role of lung microbiome in modifying COVID-19 disease; however, related studies support that microbiome can play an essential role in developing immunity against viral infections. Future studies need to be undertaken to find the relationship between lung microbiome and COVID-19 disease.
Collapse
Key Words
- ACE2, Angiotensin converting enzyme
- ARDS, Acute respiratory distress syndrome
- ARF, Acute respiratory failure
- COPD, Chronic obstructive pulmonary disease
- COVID-19, Coronavirus disease 2019
- CRP, C reactive protein
- Coronavirus disease (COVID-19)
- IFN, Interferon
- Immunity
- Infection
- Lung microbiome
- PAMP, Pathogen associated molecular patterns
- PRR, Pattern recognition receptor
- RSV, Respiratory syncytial virus
- SARS-CoV-2, Severe acute respiratory syndrome coronavirus 2
- Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
- TLR, Toll like receptor
- TNF, Tumour necrosis factor
- rRNA, Ribosomal RNA
Collapse
Affiliation(s)
- Saroj Khatiwada
- School of Medical Sciences, UNSW Sydney, Australia,Department of Biochemistry, Modern Technical College, Nepal,Corresponding author at: School of Medical Sciences, UNSW Sydney, Australia
| | - Astha Subedi
- Medicine ICU, Tribhuvan University Teaching Hospital, Nepal
| |
Collapse
|
48
|
Xu N, Wang L, Li C, Ding C, Li C, Fan W, Cheng C, Gu B. Microbiota dysbiosis in lung cancer: evidence of association and potential mechanisms. Transl Lung Cancer Res 2020; 9:1554-1568. [PMID: 32953527 PMCID: PMC7481604 DOI: 10.21037/tlcr-20-156] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Over the past decade, revolution in microbial research has provided valuable insights into the function of microbes that inhabit human body. This complex community of microbes, collectively named as microbiota, displays tremendous interaction with a host to maintain homeostasis of the local environment. Lungs were even previously regarded as sterile for a long time. With the development of high-throughput next-generation sequencing technology, a low-density, diversified microbial ecosystem is found in bronchoalveolar lavage fluid, sputum, and lung tissues. Current research confirms that, compared with healthy people, patients with lung cancer show changes in the relative abundance of multiple genera. Emerging evidence has suggested that dysbiosis of the lung microbiota may play a critical role in lung carcinogenesis by affecting metabolic, inflammatory pathways and immune response. We briefly summarize the relationship between lung microbiome and lung cancer and discuss the potential mechanisms mediating lung microbiota and lung cancer. Thus, we provide innovative strategies for early prevention and personalized treatment of lung cancer.
Collapse
Affiliation(s)
- Nana Xu
- Laboratory of Morphology, Xuzhou Medical University, Xuzhou, China
| | - Lei Wang
- Department of Histology and Embryology, Xuzhou Medical University, Xuzhou, China
| | - Chenxi Li
- Medical Technology Institute of Xuzhou Medical University, Xuzhou Key Laboratory of Laboratory Diagnostics, Xuzhou, China
| | - Chao Ding
- Department of General Surgery, Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
| | - Cong Li
- Emergency Intensive Care Unit, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Wenting Fan
- Department of Laboratory Medicine, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Chen Cheng
- Medical Technology Institute of Xuzhou Medical University, Xuzhou Key Laboratory of Laboratory Diagnostics, Xuzhou, China
| | - Bing Gu
- Medical Technology Institute of Xuzhou Medical University, Xuzhou Key Laboratory of Laboratory Diagnostics, Xuzhou, China.,Department of Laboratory Medicine, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| |
Collapse
|
49
|
Lira-Lucio JA, Falfán-Valencia R, Ramírez-Venegas A, Buendía-Roldán I, Rojas-Serrano J, Mejía M, Pérez-Rubio G. Lung Microbiome Participation in Local Immune Response Regulation in Respiratory Diseases. Microorganisms 2020; 8:E1059. [PMID: 32708647 PMCID: PMC7409050 DOI: 10.3390/microorganisms8071059] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2020] [Revised: 07/02/2020] [Accepted: 07/07/2020] [Indexed: 02/06/2023] Open
Abstract
The lung microbiome composition has critical implications in the regulation of innate and adaptive immune responses. Next-generation sequencing techniques have revolutionized the understanding of pulmonary physiology and pathology. Currently, it is clear that the lung is not a sterile place; therefore, the investigation of the participation of the pulmonary microbiome in the presentation, severity, and prognosis of multiple pathologies, such as asthma, chronic obstructive pulmonary disease, and interstitial lung diseases, contributes to a better understanding of the pathophysiology. Dysregulation of microbiota components in the microbiome-host interaction is associated with multiple lung pathologies, severity, and prognosis, making microbiome study a useful tool for the identification of potential therapeutic strategies. This review integrates the findings regarding the activation and regulation of the innate and adaptive immune response pathways according to the microbiome, including microbial patterns that could be characteristic of certain diseases. Further studies are required to verify whether the microbial profile and its metabolites can be used as biomarkers of disease progression or poor prognosis and to identify new therapeutic targets that restore lung dysbiosis safely and effectively.
Collapse
Affiliation(s)
- Juan Alberto Lira-Lucio
- HLA Laboratory, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City 14080, Mexico; (J.A.L.-L.); (R.F.-V.)
| | - Ramcés Falfán-Valencia
- HLA Laboratory, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City 14080, Mexico; (J.A.L.-L.); (R.F.-V.)
| | - Alejandra Ramírez-Venegas
- Tobacco Smoking and COPD Research Department, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City 14080, Mexico;
| | - Ivette Buendía-Roldán
- Translational Research Laboratory on Aging and Pulmonary Fibrosis, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City 14080, Mexico;
| | - Jorge Rojas-Serrano
- Interstitial Lung Disease and Rheumatology Unit, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City 14080, Mexico; (J.R.-S.); (M.M.)
| | - Mayra Mejía
- Interstitial Lung Disease and Rheumatology Unit, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City 14080, Mexico; (J.R.-S.); (M.M.)
| | - Gloria Pérez-Rubio
- HLA Laboratory, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City 14080, Mexico; (J.A.L.-L.); (R.F.-V.)
| |
Collapse
|
50
|
Untargeted Metagenomic Investigation of the Airway Microbiome of Cystic Fibrosis Patients with Moderate-Severe Lung Disease. Microorganisms 2020; 8:microorganisms8071003. [PMID: 32635564 PMCID: PMC7409339 DOI: 10.3390/microorganisms8071003] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2020] [Revised: 06/23/2020] [Accepted: 07/02/2020] [Indexed: 12/14/2022] Open
Abstract
Although the cystic fibrosis (CF) lung microbiota has been characterized in several studies, little is still known about the temporal changes occurring at the whole microbiome level using untargeted metagenomic analysis. The aim of this study was to investigate the taxonomic and functional temporal dynamics of the lower airway microbiome in a cohort of CF patients. Multiple sputum samples were collected over 15 months from 22 patients with advanced lung disease regularly attending three Italian CF Centers, given a total of 79 samples. DNA extracted from samples was subjected to shotgun metagenomic sequencing allowing both strain-level taxonomic profiling and assessment of the functional metagenomic repertoire. High inter-patient taxonomic heterogeneity was found with short-term compositional changes across clinical status. Each patient exhibited distinct sputum microbial communities at the taxonomic level, and strain-specific colonization of both traditional and atypical CF pathogens. A large core set of genes, including antibiotic resistance genes, were shared across patients despite observed differences in clinical status, and consistently detected in the lung microbiome of all subjects independently from known antibiotic exposure. In conclusion, an overall stability in the microbiome-associated genes was found despite taxonomic fluctuations of the communities.
Collapse
|