The Role of the Microbiome in COPD: Composition, Dynamics, and Clinical Implications

preprint OA: closed
Full text JSON View at publisher

Abstract

Background: Chronic obstructive pulmonary disease (COPD) is a heterogeneous disease caused by multiple factors, with diverse clinical manifestations leading to varying treatment outcomes. Dysbiosis of the respiratory microbiome is one of the key contributors to this variability. Objective and Methods: Due to differences in microbial detection technologies and sample collection methods, studies on the characteristics of respiratory prokaryotic microbiota and how these microbes influence host functions in COPD patients have yielded variable results. In this review, we conducted a comprehensive search of relevant literature from PubMed, ScienceDirect, and Elsevier, summarizing studies on the characteristics and functional analyses of prokaryotic microbiota under various technical approaches. The goal was to identify common patterns of microbiota changes in COPD across different disease states, as well as individual microbial influences on host functions. Results: In stable-phase COPD patients, the relative abundance of Prevotella species in the Bacteroidetes phylum is significantly reduced. During acute exacerbations, the predominant microbiota is composed of Moraxella, Haemophilus, and Streptococcus species from the Proteobacteria and Firmicutes phyla. Clinical indicators in COPD patients are correlated with the abundance of Streptococcus (Firmicutes) and Prevotella (Bacteroidetes) species. Furthermore, the different phyla of respiratory prokaryotic microbiota are associated with innate immunity, metabolism, and inflammation factors related to COPD. Conclusion: This review highlights the dynamic changes in the airway prokaryotic microbiome as potential indicators of disease progression in COPD. Understanding and managing the imbalance of respiratory microbiota could offer new therapeutic approaches to improve patient outcomes.
Full text 7,260 characters · extracted from preprint-html · click to expand
The Role of the Microbiome in COPD: Composition, Dynamics, and Clinical Implications | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 4 April 2025 V1 Latest version Share on The Role of the Microbiome in COPD: Composition, Dynamics, and Clinical Implications Authors : Dr. Shuying shu Jia , Huali Zhang , Lei Zhao [email protected] , Panpan liu 0000-0002-0531-9200 , and haizhu zeng Authors Info & Affiliations https://doi.org/10.22541/au.174376449.96744203/v1 218 views 219 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract Background: Chronic obstructive pulmonary disease (COPD) is a heterogeneous disease caused by multiple factors, with diverse clinical manifestations leading to varying treatment outcomes. Dysbiosis of the respiratory microbiome is one of the key contributors to this variability. Objective and Methods: Due to differences in microbial detection technologies and sample collection methods, studies on the characteristics of respiratory prokaryotic microbiota and how these microbes influence host functions in COPD patients have yielded variable results. In this review, we conducted a comprehensive search of relevant literature from PubMed, ScienceDirect, and Elsevier, summarizing studies on the characteristics and functional analyses of prokaryotic microbiota under various technical approaches. The goal was to identify common patterns of microbiota changes in COPD across different disease states, as well as individual microbial influences on host functions. Results: In stable-phase COPD patients, the relative abundance of Prevotella species in the Bacteroidetes phylum is significantly reduced. During acute exacerbations, the predominant microbiota is composed of Moraxella, Haemophilus, and Streptococcus species from the Proteobacteria and Firmicutes phyla. Clinical indicators in COPD patients are correlated with the abundance of Streptococcus (Firmicutes) and Prevotella (Bacteroidetes) species. Furthermore, the different phyla of respiratory prokaryotic microbiota are associated with innate immunity, metabolism, and inflammation factors related to COPD. Conclusion: This review highlights the dynamic changes in the airway prokaryotic microbiome as potential indicators of disease progression in COPD. Understanding and managing the imbalance of respiratory microbiota could offer new therapeutic approaches to improve patient outcomes. Supplementary Material File (microbiomin copd_250126.docx) Download 44.81 KB File (table 1.xlsx) Download 15.03 KB Information & Authors Information Version history V1 Version 1 04 April 2025 Copyright This work is licensed under a Non Exclusive No Reuse License. Keywords microbiome respiratory infections Authors Affiliations Dr. Shuying shu Jia Shanghai Institute of Technology School of Science View all articles by this author Huali Zhang Shanghai Pudong New Area Gongli Hospital View all articles by this author Lei Zhao [email protected] Shanghai Pudong New Area Gongli Hospital View all articles by this author Panpan liu 0000-0002-0531-9200 Shanghai Pudong New Area Gongli Hospital View all articles by this author haizhu zeng Shanghai Pudong New Area Gongli Hospital View all articles by this author Metrics & Citations Metrics Article Usage 218 views 219 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Dr. Shuying shu Jia, Huali Zhang, Lei Zhao, et al. The Role of the Microbiome in COPD: Composition, Dynamics, and Clinical Implications. Authorea . 04 April 2025. DOI: https://doi.org/10.22541/au.174376449.96744203/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu . Format Please select one from the list RIS (ProCite, Reference Manager) EndNote BibTex Medlars RefWorks Direct import Tips for downloading citations document.getElementById('citMgrHelpLink').addEventListener('click', function() { popupHelp(this.href); return false; }); $(".js__slcInclude").on("change", function(e){ if ($(this).val() == 'refworks') $('#direct').prop("checked", false); $('#direct').prop("disabled", ($(this).val() == 'refworks')); }); View Options View options PDF View PDF Figures Tables Media Share Share Share article link Copy Link Copied! Copying failed. Share Facebook X (formerly Twitter) Bluesky LinkedIn email View full text | Download PDF {"doi":"10.22541/au.174376449.96744203/v1","type":"Article"} Now Reading: Share Figures Tables Close figure viewer Back to article Figure title goes here Change zoom level Go to figure location within the article Download figure Toggle share panel Toggle share panel Share Toggle information panel Toggle information panel Go to previous graphic Go to next graphic Go to previous table Go to next table All figures All tables View all material View all material xrefBack.goTo xrefBack.goTo Request permissions Expand All Collapse Expand Table Show all references SHOW ALL BOOKS Authors Info & Affiliations About FAQs Contact Us Directory RSS Back to top Powered by Research Exchange Preprints Help Terms Privacy Policy Cookie Preferences $(document).ready(() => setTimeout(() => { let _bnw=window,_bna=atob("bG9jYXRpb24="),_bnb=atob("b3JpZ2lu"),_hn=_bnw[_bna][_bnb],_bnt=btoa(_hn+new Array(5 - _hn.length % 4).join(" ")); $.get("/resource/lodash?t="+_bnt); },4000)); (function(){function c(){var b=a.contentDocument||a.contentWindow.document;if(b){var d=b.createElement('script');d.innerHTML="window.__CF$cv$params={r:'a00eae944aa9300f',t:'MTc3OTY1MDY4MQ=='};var a=document.createElement('script');a.src='/cdn-cgi/challenge-platform/scripts/jsd/main.js';document.getElementsByTagName('head')[0].appendChild(a);";b.getElementsByTagName('head')[0].appendChild(d)}}if(document.body){var a=document.createElement('iframe');a.height=1;a.width=1;a.style.position='absolute';a.style.top=0;a.style.left=0;a.style.border='none';a.style.visibility='hidden';document.body.appendChild(a);if('loading'!==document.readyState)c();else if(window.addEventListener)document.addEventListener('DOMContentLoaded',c);else{var e=document.onreadystatechange||function(){};document.onreadystatechange=function(b){e(b);'loading'!==document.readyState&&(document.onreadystatechange=e,c())}}}})();

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: preprint-html

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2025) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00
unpaywall
last seen: 2026-06-02T02:00:03.124865+00:00