Litcius/Paper detail

Role of Probiotics in the Management of COVID-19: A Computational Perspective

Quang Vo Nguyen, Li Chuin Chong, Yan-Yan Hor, Lee-Ching Lew, Irfan A. Rather, Sy-Bing Choi

2022Nutrients54 citationsDOIOpen Access PDF

Abstract

Coronavirus disease 2019 (COVID-19) was declared a pandemic at the beginning of 2020, causing millions of deaths worldwide. Millions of vaccine doses have been administered worldwide; however, outbreaks continue. Probiotics are known to restore a stable gut microbiota by regulating innate and adaptive immunity within the gut, demonstrating the possibility that they may be used to combat COVID-19 because of several pieces of evidence suggesting that COVID-19 has an adverse impact on gut microbiota dysbiosis. Thus, probiotics and their metabolites with known antiviral properties may be used as an adjunctive treatment to combat COVID-19. Several clinical trials have revealed the efficacy of probiotics and their metabolites in treating patients with SARS-CoV-2. However, its molecular mechanism has not been unraveled. The availability of abundant data resources and computational methods has significantly changed research finding molecular insights between probiotics and COVID-19. This review highlights computational approaches involving microbiome-based approaches and ensemble-driven docking approaches, as well as a case study proving the effects of probiotic metabolites on SARS-CoV-2.

Topics & Concepts

PandemicProbioticGut floraDiseasePerspective (graphical)Clinical trialAdverse effectBiologyCoronavirus disease 2019 (COVID-19)Computational biologyIntensive care medicineMechanism (biology)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)ImmunityOutbreakInfectious disease (medical specialty)Coronavirus2019-20 coronavirus outbreakMedicineBioinformaticsDysbiosisImmunologyClinical efficacyMEDLINEVaccine efficacyAcquired immune systemDocking (animal)Computational modelInnate immune systemGut microbiota and healthProbiotics and Fermented FoodsMachine Learning in Bioinformatics