Galeeva Julia S, Fedorov Dmitry E, Starikova Elizaveta V, Manolov Alexander I, Pavlenko Alexander V, Selezneva Oksana V, Klimina Ksenia M, Veselovsky Vladimir A, Morozov Maxim D, Yanushevich Oleg O, Krikheli Natella I, Levchenko Oleg V, Andreev Dmitry N, Sokolov Filipp S, Fomenko Aleksey K, Devkota Mikhail K, Andreev Nikolai G, Zaborovskiy Andrey V, Bely Petr A, Tsaregorodtsev Sergei V, Evdokimov Vladimir V, Maev Igor V, Govorun Vadim M, Ilina Elena N
Research Institute for Systems Biology and Medicine, Department of Mathematical Biology and Bioinformatics, Moscow 117246, Russia.
Lopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow 119435, Russia.
Biomedicines. 2024 May 1;12(5):996. doi: 10.3390/biomedicines12050996.
The COVID-19 pandemic, caused by the SARS-CoV-2 virus, has significantly impacted global healthcare, underscoring the importance of exploring the virus's effects on infected individuals beyond treatments and vaccines. Notably, recent findings suggest that SARS-CoV-2 can infect the gut, thereby altering the gut microbiota. This study aimed to analyze the gut microbiota composition differences between COVID-19 patients experiencing mild and severe symptoms. We conducted 16S rRNA metagenomic sequencing on fecal samples from 49 mild and 43 severe COVID-19 cases upon hospital admission. Our analysis identified a differential abundance of specific bacterial species associated with the severity of the disease. Severely affected patients showed an association with , , and others, while milder cases were linked to , , , and additional species. Furthermore, a network analysis using SPIEC-EASI indicated keystone taxa and highlighted structural differences in bacterial connectivity, with a notable disruption in the severe group. Our study highlights the diverse impacts of SARS-CoV-2 on the gut microbiome among both mild and severe COVID-19 patients, showcasing a spectrum of microbial responses to the virus. Importantly, these findings align, to some extent, with observations from other studies on COVID-19 gut microbiomes, despite variations in methodologies. The findings from this study, based on retrospective data, establish a foundation for future prospective research to confirm the role of the gut microbiome as a predictive biomarker for the severity of COVID-19.
由严重急性呼吸综合征冠状病毒2(SARS-CoV-2)引起的2019冠状病毒病(COVID-19)大流行对全球医疗保健产生了重大影响,凸显了探索该病毒对感染者的影响(超出治疗和疫苗范畴)的重要性。值得注意的是,最近的研究结果表明,SARS-CoV-2可感染肠道,从而改变肠道微生物群。本研究旨在分析出现轻症和重症症状的COVID-19患者之间肠道微生物群组成的差异。我们对49例轻症和43例重症COVID-19病例入院时的粪便样本进行了16S rRNA宏基因组测序。我们的分析确定了与疾病严重程度相关的特定细菌种类的丰度差异。受严重影响的患者与 、 及其他细菌有关联,而轻症病例则与 、 、 及其他种类细菌有关联。此外,使用SPIEC-EASI进行的网络分析表明了关键分类群,并突出了细菌连通性的结构差异,严重组中存在明显破坏。我们的研究强调了SARS-CoV-2对轻症和重症COVID-19患者肠道微生物组的不同影响,展示了对该病毒的一系列微生物反应。重要的是,尽管方法存在差异,但这些发现与其他关于COVID-19肠道微生物组的研究观察结果在一定程度上是一致的。这项基于回顾性数据的研究结果为未来的前瞻性研究奠定了基础,以确认肠道微生物组作为COVID-19严重程度预测生物标志物的作用。