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Exploring AyuGenomics approach for understanding COVID-19 predisposition and progression
Recent reports on COVID-19 suggest that, the susceptibility to COVID-19 infection and its progression have a genetic predisposition. Majorly associated genetic variants are found in human leukocyte antigen (HLA), angiotensin convertase enzyme (ACE; rs1799752: ACE2; rs73635825), and transmembrane pro...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier B.V. on behalf of Institute of Transdisciplinary Health Sciences and Technology and World Ayurveda Foundation.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8221020/ https://www.ncbi.nlm.nih.gov/pubmed/34177193 http://dx.doi.org/10.1016/j.jaim.2021.06.003 |
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author | Bhat, Vedika Borse, Swapnil Chavan-Gautam, Preeti Joshi, Kalpana |
author_facet | Bhat, Vedika Borse, Swapnil Chavan-Gautam, Preeti Joshi, Kalpana |
author_sort | Bhat, Vedika |
collection | PubMed |
description | Recent reports on COVID-19 suggest that, the susceptibility to COVID-19 infection and its progression have a genetic predisposition. Majorly associated genetic variants are found in human leukocyte antigen (HLA), angiotensin convertase enzyme (ACE; rs1799752: ACE2; rs73635825), and transmembrane protease serine 2 (TMPRSS-2; rs12329760) genes. Identifying highly prone population having these variants is imperative for determining COVID-19 therapeutic strategies. Ayurveda (Indian traditional system of medicine) concept of Prakriti holds potential to predict genomic and phenotypic variations. Reported work on Prakriti correlates HLA-DR alleles with three broad phenotypes (Tridosha) described in Ayurveda (AyuGenomics). This is suggestive of differences in immune responses in individuals with specific constitutions. Therefore, the reported studies provide clues for clinically relevant hypotheses to be tested in systematic studies. The proposed approach of Ayurveda-based phenotype screening may offer a way ahead to design customized strategies for management of COVID-19 based on differences in Prakriti, immune response, and drug response. However, this needs clinical evaluation of the relation between Prakriti and genetic or phenotypic variants in COVID-19 prone and resistant populations. |
format | Online Article Text |
id | pubmed-8221020 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | The Authors. Published by Elsevier B.V. on behalf of Institute of Transdisciplinary Health Sciences and Technology and World Ayurveda Foundation. |
record_format | MEDLINE/PubMed |
spelling | pubmed-82210202021-06-23 Exploring AyuGenomics approach for understanding COVID-19 predisposition and progression Bhat, Vedika Borse, Swapnil Chavan-Gautam, Preeti Joshi, Kalpana J Ayurveda Integr Med Review Article Recent reports on COVID-19 suggest that, the susceptibility to COVID-19 infection and its progression have a genetic predisposition. Majorly associated genetic variants are found in human leukocyte antigen (HLA), angiotensin convertase enzyme (ACE; rs1799752: ACE2; rs73635825), and transmembrane protease serine 2 (TMPRSS-2; rs12329760) genes. Identifying highly prone population having these variants is imperative for determining COVID-19 therapeutic strategies. Ayurveda (Indian traditional system of medicine) concept of Prakriti holds potential to predict genomic and phenotypic variations. Reported work on Prakriti correlates HLA-DR alleles with three broad phenotypes (Tridosha) described in Ayurveda (AyuGenomics). This is suggestive of differences in immune responses in individuals with specific constitutions. Therefore, the reported studies provide clues for clinically relevant hypotheses to be tested in systematic studies. The proposed approach of Ayurveda-based phenotype screening may offer a way ahead to design customized strategies for management of COVID-19 based on differences in Prakriti, immune response, and drug response. However, this needs clinical evaluation of the relation between Prakriti and genetic or phenotypic variants in COVID-19 prone and resistant populations. The Authors. Published by Elsevier B.V. on behalf of Institute of Transdisciplinary Health Sciences and Technology and World Ayurveda Foundation. 2022 2021-06-17 /pmc/articles/PMC8221020/ /pubmed/34177193 http://dx.doi.org/10.1016/j.jaim.2021.06.003 Text en © 2021 The Authors Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Review Article Bhat, Vedika Borse, Swapnil Chavan-Gautam, Preeti Joshi, Kalpana Exploring AyuGenomics approach for understanding COVID-19 predisposition and progression |
title | Exploring AyuGenomics approach for understanding COVID-19 predisposition and progression |
title_full | Exploring AyuGenomics approach for understanding COVID-19 predisposition and progression |
title_fullStr | Exploring AyuGenomics approach for understanding COVID-19 predisposition and progression |
title_full_unstemmed | Exploring AyuGenomics approach for understanding COVID-19 predisposition and progression |
title_short | Exploring AyuGenomics approach for understanding COVID-19 predisposition and progression |
title_sort | exploring ayugenomics approach for understanding covid-19 predisposition and progression |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8221020/ https://www.ncbi.nlm.nih.gov/pubmed/34177193 http://dx.doi.org/10.1016/j.jaim.2021.06.003 |
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