Taufer Clarissa Reginato, da Silva Juliana, Rampelotto Pabulo Henrique
Graduate Program in Genetics and Molecular Biology, Universidade Federal do Rio Grande do Sul, Porto Alegre 91501-970, Brazil.
Graduate Program in Health and Human Development, Universidade La Salle, Canoas 92010-000, Brazil.
Microorganisms. 2024 Nov 18;12(11):2353. doi: 10.3390/microorganisms12112353.
The gut microbiota plays a crucial role in modulating the immune response during COVID-19, with several studies reporting significant alterations in specific bacterial genera, including , , , , , , and . These genera are symbionts of the gut microbiota and contribute to host health. However, comparing results across studies is challenging due to differences in analysis methods and reference databases. We screened 16S rRNA raw datasets available in public databases on COVID-19, focusing on the V3-V4 region of the bacterial genome. In total, seven studies were included. All samples underwent the same bioinformatics pipeline, evaluating the differential abundance of these seven bacterial genera at each level of severity. The reanalysis identified significant changes in differential abundance. emerged as a potential biomarker of disease severity and a therapeutic target. presented a complex pattern, possibly related to disease-associated inflammation or opportunistic pathogen growth. showed significant changes in abundance across the COVID-19 stages. On the other hand, and did not show significant differences, while and produced statistically significant results but with limited relevance to COVID-19 severity. Our findings reveal new insights into the differential abundance of key bacterial genera in COVID-19, particularly and .
肠道微生物群在新冠病毒感染期间调节免疫反应中起着关键作用,多项研究报告了特定细菌属的显著变化,包括 、 、 、 、 、 和 。这些属是肠道微生物群的共生体,对宿主健康有益。然而,由于分析方法和参考数据库的差异,跨研究比较结果具有挑战性。我们筛选了公共数据库中可用的关于新冠病毒感染的16S rRNA原始数据集,重点关注细菌基因组的V3 - V4区域。总共纳入了七项研究。所有样本都采用了相同的生物信息学流程,评估这七个细菌属在每个严重程度水平上的差异丰度。重新分析确定了差异丰度的显著变化。 成为疾病严重程度的潜在生物标志物和治疗靶点。 呈现出复杂的模式,可能与疾病相关的炎症或机会性病原体生长有关。 在新冠病毒感染的各个阶段丰度都有显著变化。另一方面, 和 没有显示出显著差异,而 和 产生了具有统计学意义的结果,但与新冠病毒感染的严重程度相关性有限。我们的研究结果揭示了新冠病毒感染中关键细菌属差异丰度的新见解,特别是 和 。