Evaluation of the gut microbiota patterns in patients with COVID-19: a protocol for a pilot study

Author:

Nejadghaderi Seyed Aria1,Nazemalhosseini-Mojarad Ehsan2,Fazlollahi Asra3,Pirsadeghi Ali4,Khalili Ainaz3,Rezaei Nima5ORCID

Affiliation:

1. Shahid Beheshti University of Medical Sciences School of Medicine

2. Shahid Beheshti University of Medical Sciences Research Institute for Gastroenterology and Liver Diseases

3. Tabriz University of Medical Sciences

4. Ahvaz Jundishapur University: Ahvaz Jondishapour University of Medical Sciences

5. Tehran University of Medical Sciences

Abstract

Abstract Background SARS-CoV-2 caused an outbreak in late December 2019. It has been suggested that the gut microbiota dysbiosis influences severity, mortality, and quality of life of patients with COVID-19. So, identifying the gut microbiota pattern could be helpful to determine prognosis of the disease, and maybe determine some potential treatment approaches. Our aim will be to compare gut microbiota patterns between patients with severe or non-severe COVID-19, and healthy controls. Methods We will include 40 samples: 20 samples from COVID-19 patients, including 10 severe patients and 10 non-severe patients, and 20 samples from healthy controls. Total bacterial DNA will be extracted from samples and 16S rRNA gene will be amplified through two PCR stages. Fecal samples will be analyzed using a targeted metabolomics technique, and a total of 198 compounds will be measured. The differences in each RNA or DNA expression between patients with severe COVID-19, patients with non-severe COVID-19, and controls will be compared. Also, we will assess the relationships between each DNA or RNA as well as the risk of COVID-19 severity, sort of clinical manifestations, and comorbidities Discussion The results of our study could be the backbone for further trials which might lead to development of prognostic factors and treatment options.

Publisher

Research Square Platform LLC

Reference28 articles.

1. Outbreak of a novel coronavirus;Du Toit A;Nat Rev Microbiol,2020

2. Organization WH. Virtual press conference on COVID-19-11 march 2020 2020 [Available from: https://www.who.int/docs/default-source/coronaviruse/transcripts/who-audio-emergencies-coronavirus-press-conference-full-and-final-11mar2020.pdf?sfvrsn=cb432bb3_2.

3. Burden of Disease of COVID-19: Strengthening the Collaboration for National Studies;Pires SM;Front Public Health,2022

4. WHO COVID-19 Dashboard. Geneva: World Health Organization. 2020. Available online: https://covid19.who.int/ (last cited: [November 18, 2022]).

5. Pharmacologic Treatments for Coronavirus Disease 2019 (COVID-19): A Review;Sanders JM;JAMA,2020

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3