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Adult Outpatients with Long COVID Infected with SARS-CoV-2 Omicron Variant. Part 1: Oral Microbiota Alterations

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机构: [1]Hebei Univ Chinese Med, Shijiazhuang, Peoples R China [2]Shijiazhuang Peoples Hosp, Shijiazhuang, Peoples R China [3]Tradit Chinese Med Hosp Shijiazhuang, Shijiazhuang, Peoples R China [4]Hebei Gen Hosp, Shijiazhuang, Peoples R China [5]Univ Manchester, Fac Biol, Sch Biol Sci, Manchester, England [6]Handan Hosp Integrated Chinese & Western Med, Handan, Peoples R China [7]Wuhan Metware Biotechnol Co Ltd, Wuhan, Peoples R China [8]Peking Univ, Sch Publ Hlth, Dept Epidemiol & Biostat, Beijing, Peoples R China [9]Peking Univ, Key Lab Epidemiol Major Dis, Beijing, Peoples R China [10]Shijiazhuang Coll Appl Technol, Shijiazhuang, Peoples R China
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关键词: Coronavirus disease 2019 (COVID-19) SARS-CoV-2 Omicron variant Long COVID Oral micro biota 16S Sequence analysis RNA

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BACKGROUND: Many individuals experience long COVID after SARS-CoV-2 infection. As microbiota can influence health, it may change with COVID-19. This study investigated differences in oral microbiota between COVID-19 patients with and without long COVID. METHODS: Based on a prospective follow-up investigation, this nested case-control study evaluated the differences in oral microbiota in individuals with and without long COVID (Symptomatic and Asymptomatic groups), which were assessed by 16S rRNA sequencing on tongue coating samples. A predictive model was established using machine learning based on specific differential microbial communities. RESULTS: One-hundred-and-eight patients were included (n=54 Symptomatic group). The Symptomatic group had higher Alpha diversity indices (observed_otus, Chao1, Shannon, and Simpson indices), differences in microbial composition (Beta diversity), and microbial dysbiosis with increased diversity and relative abundance of pathogenic bacteria. Marker bacteria (c__Campylobacterota, o__Coriobacteriales, o__Pseudomonadales, and o__Campylobacterales) were associated with long COVID by linear discriminant analysis effect size and receiver operating characteristic curves (AUC 0.821). CONCLUSION: There were distinct variations in oral microbiota between COVID-19 patients with and without long COVID. Changes in oral microbiota may indicate long COVID. (c) 2024 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) center dot The American Journal of Medicine (2025) 138:732-741

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大类 | 3 区 医学
小类 | 2 区 医学:内科
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Q1 MEDICINE, GENERAL & INTERNAL

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第一作者机构: [1]Hebei Univ Chinese Med, Shijiazhuang, Peoples R China [2]Shijiazhuang Peoples Hosp, Shijiazhuang, Peoples R China
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通讯机构: [1]Hebei Univ Chinese Med, Shijiazhuang, Peoples R China [2]Shijiazhuang Peoples Hosp, Shijiazhuang, Peoples R China [*1]Hebei Univ Chinese Med, Shijiaz Peoples Hosp, 36 Fan Rd, Shijiazhuang 050000, Hebei, Peoples R China
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