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

IF 2.5 3区 医学 Q1 MEDICINE, GENERAL & INTERNAL American Journal of Medicine Pub Date : 2024-08-14 DOI:10.1016/j.amjmed.2024.07.030
Jianchao Xu, Di Wu, Jie Yang, Yinuo Zhao, Xuzhao Liu, Yingying Chang, Yao Tang, Feng Sun, Yubin Zhao
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Abstract

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.

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感染SARS-CoV-2 Omicron变种的长COVID成人门诊患者。第一部分:口腔微生物群的改变
背景:许多人在感染 SARS-CoV-2 后经历了长时间的 COVID。由于微生物群可影响健康,因此可能会随着 COVID-19 而发生变化。本研究调查了COVID-19患者口腔微生物群的差异:这项巢式病例对照研究基于一项前瞻性随访调查,通过对舌苔样本进行 16S rRNA 测序,评估了长 COVID 患者和非长 COVID 患者(症状组和无症状组)口腔微生物群的差异。根据特定的差异微生物群落,利用机器学习建立了一个预测模型:结果:共纳入 118 名患者(症状组 54 人)。症状组的 Alpha 多样性指数(observed_otus、Chao1、Shannon 和 Simpson 指数)较高,微生物组成存在差异(Beta 多样性),微生物菌群失调,致病菌的多样性和相对丰度增加。通过线性判别分析效应大小和接收者操作特征曲线(AUC 0.821),标记细菌(c__弯曲杆菌属、o__oriobacteriales、o__假单胞菌属和 o__弯曲杆菌属)与长 COVID 相关:结论:COVID-19 患者的口腔微生物群存在明显差异,有的患者有长 COVID,有的患者没有长 COVID。口腔微生物群的变化可能预示着长 COVID。
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来源期刊
American Journal of Medicine
American Journal of Medicine 医学-医学:内科
CiteScore
6.30
自引率
3.40%
发文量
449
审稿时长
9 days
期刊介绍: The American Journal of Medicine - "The Green Journal" - publishes original clinical research of interest to physicians in internal medicine, both in academia and community-based practice. AJM is the official journal of the Alliance for Academic Internal Medicine, a prestigious group comprising internal medicine department chairs at more than 125 medical schools across the U.S. Each issue carries useful reviews as well as seminal articles of immediate interest to the practicing physician, including peer-reviewed, original scientific studies that have direct clinical significance and position papers on health care issues, medical education, and public policy.
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