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Therapeutic intervention of COVID-19 by natural products: A population-specific survey directed approach

Research output: Contribution to journalReview articlepeer-review

Christian R. Gomez, Ingrid Espinoza, Fazlay S. Faruque, Md Mahbub Hasan, Khondaker Miraz Rahman, Larry A. Walker, Ilias Muhammad

Original languageEnglish
Article number1191
Issue number4
PublishedFeb 2021

Bibliographical note

Publisher Copyright: Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( 4.0/). Copyright: Copyright 2021 Elsevier B.V., All rights reserved.

King's Authors


To date very few promising leads from natural products (NP) secondary metabolites with antiviral and immunomodulatory properties have been identified for promising/potential intervention for COVID-19. Using in-silico docking studies and genome based various molecular targets, and their in vitro anti-SARS CoV-2 activities against whole cell and/or selected protein targets, we select a few compounds of interest, which can be used as potential leads to counteract effects of uncontrolled innate immune responses, in particular those related to the cytokine storm. A critical factor for prevention and treatment of SARS-CoV-2 infection relates to factors independent of viral infection or host response. They include population-related variables such as concurrent comorbidities and genetic factors critically relevant to COVID-19 health disparities. We discuss population risk factors related to SARS-CoV-2. In addition, we focus on virulence related to glucose-6-phosphate dehydrogenase deficiency (G6PDd), the most common human enzymopathy. Review of data on the response of individuals and communities with high prevalence of G6PDd to NP, prompts us to propose the rationale for a population-specific management approach to rationalize design of therapeutic interventions of SARS-CoV-2 infection, based on use of NP. This strategy may lead to personalized approaches and improve disease-related outcomes.

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