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Network pharmacology of AYUSH recommended immune-boosting medicinal plants against COVID-19
The Ministry of AYUSH recommended the use of a decoction of the mixture of Ocimum tenuiflorum, Cinnamomum verum, Piper nigrum, Zingiber officinale, and Vitis vinifera as a preventive measure by boosting the immunity against the severity of infection caused by a novel coronavirus (COVID-19). The pres...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7687402/ https://www.ncbi.nlm.nih.gov/pubmed/33250601 http://dx.doi.org/10.1016/j.jaim.2020.11.004 |
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author | Khanal, Pukar Duyu, Taaza Patil, B.M. Dey, Yadu Nandan Pasha, Ismail Wanjari, Manish Gurav, Shailendra S. Maity, Arindam |
author_facet | Khanal, Pukar Duyu, Taaza Patil, B.M. Dey, Yadu Nandan Pasha, Ismail Wanjari, Manish Gurav, Shailendra S. Maity, Arindam |
author_sort | Khanal, Pukar |
collection | PubMed |
description | The Ministry of AYUSH recommended the use of a decoction of the mixture of Ocimum tenuiflorum, Cinnamomum verum, Piper nigrum, Zingiber officinale, and Vitis vinifera as a preventive measure by boosting the immunity against the severity of infection caused by a novel coronavirus (COVID-19). The present study aimed to identify the probable modulated pathways by the combined action of AYUSH recommended herbal tea and golden milk formulation as an immune booster against COVID-19. Reported phytoconstituents of all the medicinal plants were retrieved from the ChEBI database, and their targets were predicted using DIGEP-Pred. STRING database and Cytoscape were used to predict the protein–protein interaction and construct the network, respectively. Likewise, MolSoft and admet SAR2.0 were used to predict the druglikeness score and ADMET profile of phytoconstituents. The study identified the modulation of HIF-1, p53, PI3K-Akt, MAPK, cAMP, Ras, Wnt, NF-kappa B, IL-17, TNF, and cGMP-PKG signaling pathways to boost the immune system. Further, multiple pathways were also identified which are involved in the regulation of pathogenesis of the multiple infections and non-infectious diseases due to the lower immune system. Results indicated that the recommended herbal formulation not only modulated the pathways involved in boosting the immunity but also modulated the multiple pathways that are contributing to the progression of multiple disease pathogenesis which would add the beneficial effect in the co-morbid patients of hypertension and diabetes. The study provides the scientific documentation of the role of the Ayurvedic formulation to combat COVID-19. |
format | Online Article Text |
id | pubmed-7687402 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-76874022020-11-25 Network pharmacology of AYUSH recommended immune-boosting medicinal plants against COVID-19 Khanal, Pukar Duyu, Taaza Patil, B.M. Dey, Yadu Nandan Pasha, Ismail Wanjari, Manish Gurav, Shailendra S. Maity, Arindam J Ayurveda Integr Med Short Communication The Ministry of AYUSH recommended the use of a decoction of the mixture of Ocimum tenuiflorum, Cinnamomum verum, Piper nigrum, Zingiber officinale, and Vitis vinifera as a preventive measure by boosting the immunity against the severity of infection caused by a novel coronavirus (COVID-19). The present study aimed to identify the probable modulated pathways by the combined action of AYUSH recommended herbal tea and golden milk formulation as an immune booster against COVID-19. Reported phytoconstituents of all the medicinal plants were retrieved from the ChEBI database, and their targets were predicted using DIGEP-Pred. STRING database and Cytoscape were used to predict the protein–protein interaction and construct the network, respectively. Likewise, MolSoft and admet SAR2.0 were used to predict the druglikeness score and ADMET profile of phytoconstituents. The study identified the modulation of HIF-1, p53, PI3K-Akt, MAPK, cAMP, Ras, Wnt, NF-kappa B, IL-17, TNF, and cGMP-PKG signaling pathways to boost the immune system. Further, multiple pathways were also identified which are involved in the regulation of pathogenesis of the multiple infections and non-infectious diseases due to the lower immune system. Results indicated that the recommended herbal formulation not only modulated the pathways involved in boosting the immunity but also modulated the multiple pathways that are contributing to the progression of multiple disease pathogenesis which would add the beneficial effect in the co-morbid patients of hypertension and diabetes. The study provides the scientific documentation of the role of the Ayurvedic formulation to combat COVID-19. Elsevier 2022 2020-11-25 /pmc/articles/PMC7687402/ /pubmed/33250601 http://dx.doi.org/10.1016/j.jaim.2020.11.004 Text en © 2020 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Short Communication Khanal, Pukar Duyu, Taaza Patil, B.M. Dey, Yadu Nandan Pasha, Ismail Wanjari, Manish Gurav, Shailendra S. Maity, Arindam Network pharmacology of AYUSH recommended immune-boosting medicinal plants against COVID-19 |
title | Network pharmacology of AYUSH recommended immune-boosting medicinal plants against COVID-19 |
title_full | Network pharmacology of AYUSH recommended immune-boosting medicinal plants against COVID-19 |
title_fullStr | Network pharmacology of AYUSH recommended immune-boosting medicinal plants against COVID-19 |
title_full_unstemmed | Network pharmacology of AYUSH recommended immune-boosting medicinal plants against COVID-19 |
title_short | Network pharmacology of AYUSH recommended immune-boosting medicinal plants against COVID-19 |
title_sort | network pharmacology of ayush recommended immune-boosting medicinal plants against covid-19 |
topic | Short Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7687402/ https://www.ncbi.nlm.nih.gov/pubmed/33250601 http://dx.doi.org/10.1016/j.jaim.2020.11.004 |
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