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An In-Silico Identification of Potential Flavonoids against Kidney Fibrosis Targeting TGFβR-1

Fibrosis is a hallmark of progressive kidney diseases. The overexpression of profibrotic cytokine, namely transforming growth factor β (TGF-β) due to excessive inflammation and tissue damage, induces kidney fibrosis. The inhibition of TGF-β signaling is markedly limited in experimental disease model...

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Autores principales: Rahman, MD. Hasanur, Biswas, Partha, Dey, Dipta, Hannan, Md. Abdul, Sahabuddin, Md., Araf, Yusha, Kwon, Youngjoo, Emran, Talha Bin, Ali, Md. Sarafat, Uddin, Md Jamal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9694304/
https://www.ncbi.nlm.nih.gov/pubmed/36362919
http://dx.doi.org/10.3390/life12111764
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author Rahman, MD. Hasanur
Biswas, Partha
Dey, Dipta
Hannan, Md. Abdul
Sahabuddin, Md.
Araf, Yusha
Kwon, Youngjoo
Emran, Talha Bin
Ali, Md. Sarafat
Uddin, Md Jamal
author_facet Rahman, MD. Hasanur
Biswas, Partha
Dey, Dipta
Hannan, Md. Abdul
Sahabuddin, Md.
Araf, Yusha
Kwon, Youngjoo
Emran, Talha Bin
Ali, Md. Sarafat
Uddin, Md Jamal
author_sort Rahman, MD. Hasanur
collection PubMed
description Fibrosis is a hallmark of progressive kidney diseases. The overexpression of profibrotic cytokine, namely transforming growth factor β (TGF-β) due to excessive inflammation and tissue damage, induces kidney fibrosis. The inhibition of TGF-β signaling is markedly limited in experimental disease models. Targeting TGF-β signaling, therefore, offers a prospective strategy for the management of kidney fibrosis. Presently, the marketed drugs have numerous side effects, but plant-derived compounds are relatively safer and more cost-effective. In this study, TGFβR-1 was targeted to identify the lead compounds among flavonoids using various computational approaches, such as ADME/T (absorption, distribution, metabolism, and excretion/toxicity) analysis, molecular docking, and molecular dynamics simulation. ADME/T screening identified a total of 31 flavonoids with drug-like properties of 31 compounds, a total of 5 compounds showed a higher binding affinity to TGFβR-1, with Epicatechin, Fisetin, and Luteolin ranking at the top three (−13.58, −13.17, and −10.50 kcal/mol, respectively), which are comparable to the control drug linagliptin (−9.074 kcal/mol). The compounds also exhibited outstanding protein–ligand interactions. The molecular dynamic simulations revealed a stable interaction of these compounds with the binding site of TGFβR-1. These findings indicate that flavonoids, particularly Epicatechin, Fisetin, and Luteolin, may compete with the ligand-binding site of TGFβR-1, suggesting that these compounds can be further evaluated for the development of potential therapeutics against kidney fibrosis. Further, in-vitro and in-vivo studies are recommended to support the current findings.
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spelling pubmed-96943042022-11-26 An In-Silico Identification of Potential Flavonoids against Kidney Fibrosis Targeting TGFβR-1 Rahman, MD. Hasanur Biswas, Partha Dey, Dipta Hannan, Md. Abdul Sahabuddin, Md. Araf, Yusha Kwon, Youngjoo Emran, Talha Bin Ali, Md. Sarafat Uddin, Md Jamal Life (Basel) Article Fibrosis is a hallmark of progressive kidney diseases. The overexpression of profibrotic cytokine, namely transforming growth factor β (TGF-β) due to excessive inflammation and tissue damage, induces kidney fibrosis. The inhibition of TGF-β signaling is markedly limited in experimental disease models. Targeting TGF-β signaling, therefore, offers a prospective strategy for the management of kidney fibrosis. Presently, the marketed drugs have numerous side effects, but plant-derived compounds are relatively safer and more cost-effective. In this study, TGFβR-1 was targeted to identify the lead compounds among flavonoids using various computational approaches, such as ADME/T (absorption, distribution, metabolism, and excretion/toxicity) analysis, molecular docking, and molecular dynamics simulation. ADME/T screening identified a total of 31 flavonoids with drug-like properties of 31 compounds, a total of 5 compounds showed a higher binding affinity to TGFβR-1, with Epicatechin, Fisetin, and Luteolin ranking at the top three (−13.58, −13.17, and −10.50 kcal/mol, respectively), which are comparable to the control drug linagliptin (−9.074 kcal/mol). The compounds also exhibited outstanding protein–ligand interactions. The molecular dynamic simulations revealed a stable interaction of these compounds with the binding site of TGFβR-1. These findings indicate that flavonoids, particularly Epicatechin, Fisetin, and Luteolin, may compete with the ligand-binding site of TGFβR-1, suggesting that these compounds can be further evaluated for the development of potential therapeutics against kidney fibrosis. Further, in-vitro and in-vivo studies are recommended to support the current findings. MDPI 2022-11-02 /pmc/articles/PMC9694304/ /pubmed/36362919 http://dx.doi.org/10.3390/life12111764 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Rahman, MD. Hasanur
Biswas, Partha
Dey, Dipta
Hannan, Md. Abdul
Sahabuddin, Md.
Araf, Yusha
Kwon, Youngjoo
Emran, Talha Bin
Ali, Md. Sarafat
Uddin, Md Jamal
An In-Silico Identification of Potential Flavonoids against Kidney Fibrosis Targeting TGFβR-1
title An In-Silico Identification of Potential Flavonoids against Kidney Fibrosis Targeting TGFβR-1
title_full An In-Silico Identification of Potential Flavonoids against Kidney Fibrosis Targeting TGFβR-1
title_fullStr An In-Silico Identification of Potential Flavonoids against Kidney Fibrosis Targeting TGFβR-1
title_full_unstemmed An In-Silico Identification of Potential Flavonoids against Kidney Fibrosis Targeting TGFβR-1
title_short An In-Silico Identification of Potential Flavonoids against Kidney Fibrosis Targeting TGFβR-1
title_sort in-silico identification of potential flavonoids against kidney fibrosis targeting tgfβr-1
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9694304/
https://www.ncbi.nlm.nih.gov/pubmed/36362919
http://dx.doi.org/10.3390/life12111764
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