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COVID-19 active case findings based on self-collected saliva samples with CRISPR-Cas12a detection.基于 CRISPR-Cas12a 检测的自我采集唾液样本的 COVID-19 活动病例发现。
Exp Biol Med (Maywood). 2022 Jul;247(14):1228-1234. doi: 10.1177/15353702221090181. Epub 2022 Apr 27.
2
Gut bacterial dysbiosis and instability is associated with the onset of complications and mortality in COVID-19.肠道细菌失调和不稳定与 COVID-19 并发症和死亡率的发生有关。
Gut Microbes. 2022 Jan-Dec;14(1):2031840. doi: 10.1080/19490976.2022.2031840.
3
Bacterial microbiota in upper respiratory tract of COVID-19 and influenza patients.COVID-19 和流感患者上呼吸道的细菌微生物群。
Exp Biol Med (Maywood). 2022 Mar;247(5):409-415. doi: 10.1177/15353702211057473. Epub 2021 Nov 13.
4
Oral Microbiome Alterations and SARS-CoV-2 Saliva Viral Load in Patients with COVID-19.口腔微生物组改变与 COVID-19 患者唾液中 SARS-CoV-2 的病毒载量。
Microbiol Spectr. 2021 Oct 31;9(2):e0005521. doi: 10.1128/Spectrum.00055-21. Epub 2021 Oct 13.
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Evaluation of superinfection, antimicrobial usage, and airway microbiome with metagenomic sequencing in COVID-19 patients: A cohort study in Shanghai.评价 COVID-19 患者中的超级感染、抗菌药物使用和气道微生物组与宏基因组测序:上海的一项队列研究。
J Microbiol Immunol Infect. 2021 Oct;54(5):808-815. doi: 10.1016/j.jmii.2021.03.015. Epub 2021 Apr 6.
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Gut. 2021 Jul;70(7):1253-1265. doi: 10.1136/gutjnl-2020-323826. Epub 2021 Mar 31.
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Full-length 16S rRNA gene amplicon analysis of human gut microbiota using MinION™ nanopore sequencing confers species-level resolution.使用 MinION™ 纳米孔测序对人类肠道微生物组全长 16S rRNA 基因扩增子进行分析可提供种水平分辨率。
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基于长读长纳米孔测序的无症状 COVID-19 病例唾液微生物组分类。

Classification of salivary bacteriome in asymptomatic COVID-19 cases based on long-read nanopore sequencing.

机构信息

Division of Biochemistry, Department of Preclinical Science, Faculty of Medicine, Thammasat University, Pathum Thani 10120, Thailand.

Research Unit of Systems Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand.

出版信息

Exp Biol Med (Maywood). 2022 Nov;247(21):1937-1946. doi: 10.1177/15353702221118091. Epub 2022 Sep 8.

DOI:10.1177/15353702221118091
PMID:36082397
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9742750/
Abstract

The coronavirus (COVID-19) global pandemic has impacted the health of almost everyone, including changes in their salivary microbiota. Since 2019, there has been an increase in the number of new COVID-19 cases in Thailand. Therefore, COVID-19 active case finding is important for early detection and epidemic control. Moreover, the dynamic changes of salivary bacteriome in asymptomatic COVID-19 cases are largely unknown. This research aimed to investigate and compare the salivary bacteriome and the co-infectious bacterial pathogens in the asymptomatic COVID-19 positive group to the negative group, based on novel nanopore sequencing. This cohort was a cross-sectional study including saliva samples collected from 82 asymptomatic participants (39 COVID-19 positive and 43 COVID-19 negative cases). All samples were sequenced for the full-length bacterial 16S rDNA. The alpha and beta diversity analyses were not significantly different between groups. The three major species in salivary bacteriome including , , and were observed in both groups. Interestingly, was a significantly enriched species in the saliva of the asymptomatic COVID-19-positive cases based on linear discriminant analysis effect size (LEfSe) analysis. The results suggested that was a co-infectious agent in the asymptomatic COVID-19 group. However, the potential role of should be validated in further experimental studies.

摘要

冠状病毒(COVID-19)大流行已影响到几乎所有人的健康,包括唾液微生物群的变化。自 2019 年以来,泰国的 COVID-19 新发病例数量有所增加。因此,COVID-19 主动病例发现对于早期检测和疫情控制非常重要。此外,无症状 COVID-19 病例中唾液菌的动态变化还知之甚少。本研究旨在通过新型纳米孔测序,调查和比较无症状 COVID-19 阳性组和阴性组的唾液菌群和共感染细菌病原体。该队列是一项横断面研究,包括从 82 名无症状参与者(39 例 COVID-19 阳性和 43 例 COVID-19 阴性病例)中收集的唾液样本。所有样本均进行全长细菌 16S rDNA 测序。两组之间的 alpha 和 beta 多样性分析没有显著差异。唾液菌中三大主要物种 、 和 在两组中均有观察到。有趣的是,基于线性判别分析效应大小(LEfSe)分析, 是无症状 COVID-19 阳性病例唾液中的显著富集物种。结果表明, 是无症状 COVID-19 组的共感染剂。然而, 的潜在作用应在进一步的实验研究中验证。