Utilizing microbiome approaches to assist source tracking, treatment and prevention of COVID-19: Review and assessment.
Journal
Computational and structural biotechnology journal
ISSN: 2001-0370
Titre abrégé: Comput Struct Biotechnol J
Pays: Netherlands
ID NLM: 101585369
Informations de publication
Date de publication:
2020
2020
Historique:
received:
30
08
2020
revised:
14
11
2020
accepted:
16
11
2020
entrez:
11
12
2020
pubmed:
12
12
2020
medline:
12
12
2020
Statut:
epublish
Résumé
COVID-19 has been one of the most serious infectious diseases since the end of 2019. However, the original source, as well as the treatment and prevention of causative agent of COVID-19 (namely SARS-CoV-2) are still unclear nearly a year after its publicly report. The microbiome approach, which has emerged in recent years focusing on human-related microbes, has become one of the promising avenues for source tracking, treatment, and prevention of a variety of infectious diseases including COVID-19. In this review, we summarized the microbiome approach as a supplementary approach for source tracking, treatment, and prevention of SARS-CoV-2 infection. We first provided background information on SARS-CoV-2 and microbiome approaches. Then we illustrated current strategies of microbiome methods to assist three aspects of COVID-19 research, namely source tracking, treatment, and prevention, respectively. Finally, we summarized the microbiome approaches and provided perspectives for future studies on faster and more effective SARS-CoV-2 epidemiology and pathogenesis based on microbiome approaches.
Identifiants
pubmed: 33304459
doi: 10.1016/j.csbj.2020.11.027
pii: S2001-0370(20)30494-3
pmc: PMC7708852
doi:
Types de publication
Journal Article
Review
Langues
eng
Pagination
3615-3622Informations de copyright
© 2020 The Author(s).
Déclaration de conflit d'intérêts
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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