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评估 COVID-19 感染的共循环病原体和微生物组。

Evaluation of co-circulating pathogens and microbiome from COVID-19 infections.

机构信息

Physical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, CA, United States of America.

Computating Directorate, Lawrence Livermore National Laboratory, Livermore, CA, United States of America.

出版信息

PLoS One. 2022 Dec 1;17(12):e0278543. doi: 10.1371/journal.pone.0278543. eCollection 2022.

Abstract

Co-infections or secondary infections with SARS-CoV-2 have the potential to affect disease severity and morbidity. Additionally, the potential influence of the nasal microbiome on COVID-19 illness is not well understood. In this study, we analyzed 203 residual samples, originally submitted for SARS-CoV-2 testing, for the presence of viral, bacterial, and fungal pathogens and non-pathogens using a comprehensive microarray technology, the Lawrence Livermore Microbial Detection Array (LLMDA). Eighty-seven percent of the samples were nasopharyngeal samples, and 23% of the samples were oral, nasal and oral pharyngeal swabs. We conducted bioinformatics analyses to examine differences in microbial populations of these samples, as a proxy for the nasal and oral microbiome, from SARS-CoV-2 positive and negative specimens. We found 91% concordance with the LLMDA relative to a diagnostic RT-qPCR assay for detection of SARS-CoV-2. Sixteen percent of all the samples (32/203) revealed the presence of an opportunistic bacterial or frank viral pathogen with the potential to cause co-infections. The two most detected bacteria, Streptococcus pyogenes and Streptococcus pneumoniae, were present in both SARS-CoV-2 positive and negative samples. Human metapneumovirus was the most prevalent viral pathogen in the SARS-CoV-2 negative samples. Sequence analysis of 16S rRNA was also conducted to evaluate bacterial diversity and confirm LLMDA results.

摘要

SARS-CoV-2 的合并感染或继发感染有可能影响疾病的严重程度和发病率。此外,鼻腔微生物组对 COVID-19 疾病的潜在影响尚未得到充分理解。在这项研究中,我们使用综合微阵列技术,即劳伦斯利弗莫尔微生物检测阵列(LLMDA),对 203 个原本用于 SARS-CoV-2 检测的剩余样本进行了病毒、细菌和真菌病原体和非病原体的检测。87%的样本为鼻咽样本,23%的样本为口腔、鼻腔和口咽拭子。我们进行了生物信息学分析,以检查这些样本的微生物群差异,作为鼻腔和口腔微生物组的代表,来自 SARS-CoV-2 阳性和阴性标本。我们发现,与用于检测 SARS-CoV-2 的诊断 RT-qPCR 检测相比,LLMDA 的一致性为 91%。所有样本的 16%(32/203)显示存在机会性细菌或明显病毒病原体,有可能导致合并感染。两种最常检测到的细菌,化脓性链球菌和肺炎链球菌,存在于 SARS-CoV-2 阳性和阴性样本中。在 SARS-CoV-2 阴性样本中,人类偏肺病毒是最常见的病毒病原体。还进行了 16S rRNA 的序列分析,以评估细菌多样性并确认 LLMDA 结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/050b/9714956/5cd1fe3b97ad/pone.0278543.g001.jpg

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