Metagenomics Approaches to Investigate the Gut Microbiome of COVID-19 Patients.

16S rRNA gene COVID-19 SARS-CoV-2 bioinformatics gene marker analysis human microbiome metagenomics metaproteomics metatranscriptomics

Journal

Bioinformatics and biology insights
ISSN: 1177-9322
Titre abrégé: Bioinform Biol Insights
Pays: United States
ID NLM: 101467187

Informations de publication

Date de publication:
2021
Historique:
received: 28 01 2021
accepted: 09 02 2021
entrez: 31 3 2021
pubmed: 1 4 2021
medline: 1 4 2021
Statut: epublish

Résumé

Over the last decade, it has become increasingly apparent that the microbiome is a central component in human well-being and illness. However, to establish innovative therapeutic methods, it is crucial to learn more about the microbiota. Thereby, the area of metagenomics and associated bioinformatics methods and tools has become considerable in the study of the human microbiome biodiversity. The application of these metagenomics approaches to studying the gut microbiome in COVID-19 patients could be one of the promising areas of research in the fight against the SARS-CoV-2 infection and disparity. Therefore, understanding how the gut microbiome is affected by or could affect the SARS-CoV-2 is very important. Herein, we present an overview of approaches and methods used in the current published studies on COVID-19 patients and the gut microbiome. The accuracy of these researches depends on the appropriate choice and the optimal use of the metagenomics bioinformatics platforms and tools. Interestingly, most studies reported that COVID-19 patients' microbiota are enriched with opportunistic microorganisms. The choice and use of appropriate computational tools and techniques to accurately investigate the gut microbiota is therefore critical in determining the appropriate microbiome profile for diagnosis and the most reliable antiviral or preventive microbial composition.

Identifiants

pubmed: 33786001
doi: 10.1177/1177932221999428
pii: 10.1177_1177932221999428
pmc: PMC7961713
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

1177932221999428

Informations de copyright

© The Author(s) 2021.

Déclaration de conflit d'intérêts

Declaration of Conflicting Interests:The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

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Auteurs

Sofia Sehli (S)

Department of fundamental sciences, School of Medicine, Mohammed VI University of Health Sciences, Casablanca, Morocco.

Imane Allali (I)

Laboratory of Human Pathologies Biology, Department of Biology, Faculty of Sciences, and Genomic Center of Human Pathologies, Faculty of Medicine and Pharmacy, University Mohammed V, Rabat, Morocco.

Rajaa Chahboune (R)

School of Medicine and Pharmacy, University Abdelmalek Essaâdi, Tangier, Morocco.

Youssef Bakri (Y)

Laboratory of Human Pathologies Biology, Department of Biology, Faculty of Sciences, and Genomic Center of Human Pathologies, Faculty of Medicine and Pharmacy, University Mohammed V, Rabat, Morocco.

Najib Al Idrissi (N)

Department of Surgery, School of medicine, Mohammed VI University of Health Sciences, Casablanca, Morocco.

Salsabil Hamdi (S)

Environmental Health Laboratory, Department of Research, Institut Pasteur Du Maroc, Casablanca, Morocco.

Chakib Nejjari (C)

Department of Epidemiology and Biostatistics, International School of Public Health, Mohammed VI University of Health Sciences, Casablanca, Morocco.
Department of Epidemiology and Public Health, Faculty of Medicine, University Sidi Mohammed Ben Abdellah, Fez, Morocco.

Saaïd Amzazi (S)

Laboratory of Human Pathologies Biology, Department of Biology, Faculty of Sciences, and Genomic Center of Human Pathologies, Faculty of Medicine and Pharmacy, University Mohammed V, Rabat, Morocco.

Hassan Ghazal (H)

Department of fundamental sciences, School of Medicine, Mohammed VI University of Health Sciences, Casablanca, Morocco.
Scientific Department, National Centre for Scientific and Technical Research, Rabat, Morocco.

Classifications MeSH