{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,23]],"date-time":"2026-10-23T20:37:09Z","timestamp":1792787829429,"version":"4.5.0"},"reference-count":0,"publisher":"European Respiratory Society (ERS)","license":[{"start":{"date-parts":[[2026,10,11]],"date-time":"2026-10-11T00:00:00Z","timestamp":1791676800000},"content-version":"am","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"UK Research and Innovation and National Institute for Health Research","award":["MR\/V027859\/1"],"award-info":[{"award-number":["MR\/V027859\/1"]}],"id":[{"id":"https:\/\/ror.org\/0187kwz08","id-type":"ROR","asserted-by":"crossref"}]}],"content-domain":{"domain":["publications.ersnet.org"],"crossmark-restriction":true},"short-container-title":["Eur Respir J"],"accepted":{"date-parts":[[2026,5,29]]},"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Acute COVID-19 alters the airway microbiota. Whether these changes persist post-COVID-19 and contribute to long COVID is unknown. We aimed to describe the microbiota by long COVID severity and subtype, and identify links with inflammation.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Adults were prospectively recruited to the longitudinal UK Post-hospitalisation COVID-19 study (PHOSP-COVID). Patients were grouped by previously described \u201cseverity clusters\u201d (of ongoing health impairments) and symptom subgroups. Oral and sputum microbiota (at 6\u2005months post-discharge) were characterised through 16S\u00a0ribosomal RNA gene amplicon sequencing, and microbiota diversity was assessed. Co-occurrence network analysis identified keystone taxa. Associations between keystone taxa and plasma inflammatory proteins were assessed through Spearman's rank correlations.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>771 participants had their microbiota assessed. Of participants with oral rinses and \u201cseverity cluster\u201d assignment (mean age 57.5\u2005years), 278 out of 722 (38.5%) were women. The \u201cvery severe\u201d cluster, in which disease was predominantly pulmonary in nature, was associated with a distinct microbiota profile post-COVID-19. Reduced lung function was associated with a distinct oral microbiota profile. Persistent neurocognitive symptoms were associated with a distinct oral microbiota profile, while gastrointestinal symptoms were associated with a distinct sputum microbiota profile. Microbiota keystone taxa shifted to a higher prevalence of lactic acid bacteria associated with worse health outcomes. Lactic acid bacteria abundance was associated with elevated blood inflammatory proteins.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Distinct oral and sputum microbiota profiles were associated with pulmonary function and with neurocognitive and gastrointestinal symptoms in long COVID. Shifts in keystone microbiota taxa linked with inflammation, based on worse health outcomes, suggest a potential role change for lactic acid bacteria, which may be associated with the host immune response.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1183\/13993003.01162-2026","type":"journal-article","created":{"date-parts":[[2026,10,12]],"date-time":"2026-10-12T00:45:17Z","timestamp":1791765917000},"page":"2601162","update-policy":"https:\/\/doi.org\/10.1183\/ers-crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Sputum and oral microbiota profiles are associated with long COVID severity and phenotype post-hospitalisation: a UK multicentre, prospective cohort study"],"prefix":"10.1183","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5125-1657","authenticated-orcid":false,"given":"Daniela","family":"Alferes de Lima 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