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肠道微生物群可预测 COVID-19 的严重程度和死亡率,而与医院喂养方式无关。

The intestinal microbiota predicts COVID-19 severity and fatality regardless of hospital feeding method.

机构信息

Department of Microbiology and Physiological Systems, University of Massachusetts Chan Medical School , Worcester, Massachusetts, USA.

Program of Microbiome Dynamics, University of Massachusetts Chan Medical School , Worcester, Massachusetts, USA.

出版信息

mSystems. 2023 Aug 31;8(4):e0031023. doi: 10.1128/msystems.00310-23. Epub 2023 Aug 7.

Abstract

SARS-CoV-2-positive patients exhibit gut and oral microbiome dysbiosis, which is associated with various aspects of COVID-19 disease (1-4). Here, we aim to identify gut and oral microbiome markers that predict COVID-19 severity in hospitalized patients, specifically severely ill patients compared to moderately ill ones. Moreover, we investigate whether hospital feeding (solid versus enteral), an important cofounder, influences the microbial composition of hospitalized COVID-19 patients. We used random forest classification machine learning models with interpretable secondary analyses. The gut, but not the oral microbiota, was a robust predictor of both COVID-19-related fatality and severity of hospitalized patients, with a higher predictive value than most clinical variables. In addition, perturbations of the gut microbiota due to enteral feeding did not associate with species that were predictive of COVID-19 severity. IMPORTANCE SARS-CoV-2 infection leads to wide-ranging, systemic symptoms with sometimes unpredictable morbidity and mortality. It is increasingly clear that the human microbiome plays an important role in how individuals respond to viral infections. Our study adds to important literature about the associations of gut microbiota and severe COVID-19 illness during the early phase of the pandemic before the availability of vaccines. Increased understanding of the interplay between microbiota and SARS-CoV-2 may lead to innovations in diagnostics, therapies, and clinical predictions.

摘要

SARS-CoV-2 阳性患者表现出肠道和口腔微生物组失调,这与 COVID-19 疾病的各个方面有关(1-4)。在这里,我们旨在确定肠道和口腔微生物组标志物,以预测住院患者 COVID-19 的严重程度,特别是与中度患者相比的重症患者。此外,我们还研究了医院喂养(固体与肠内)这一重要的混杂因素是否会影响住院 COVID-19 患者的微生物组成。我们使用了具有可解释性二次分析的随机森林分类机器学习模型。肠道微生物组,而不是口腔微生物组,是 COVID-19 相关死亡率和住院患者严重程度的可靠预测因子,其预测价值高于大多数临床变量。此外,由于肠内喂养而导致的肠道微生物组的扰动与预测 COVID-19 严重程度的物种无关。重要性 SARS-CoV-2 感染会导致广泛的全身性症状,有时会导致不可预测的发病率和死亡率。越来越清楚的是,人类微生物组在个体对病毒感染的反应中起着重要作用。我们的研究增加了在大流行早期(在疫苗可用之前)关于肠道微生物组与严重 COVID-19 疾病之间关联的重要文献。增加对微生物组和 SARS-CoV-2 之间相互作用的理解可能会导致诊断、治疗和临床预测的创新。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c9f5/10469851/264f34bacd17/msystems.00310-23.f001.jpg

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