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Hypericin as a potential drug for treating Alzheimer's disease and type 2 diabetes with a view to drug repositioning

AIMS: Alzheimer's disease (AD) and type 2 diabetes (T2D) are two of the most common diseases in elderly population and they have a high rate of comorbidity. Study has revealed that T2D is a major risk factor of AD, and thus exploring therapeutic approaches that can target both diseases has draw...

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Autores principales: Yuan, Xin, Yan, Fei, Gao, Li‐Hui, Ma, Qian‐Hui, Wang, Ju
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10580347/
https://www.ncbi.nlm.nih.gov/pubmed/37183545
http://dx.doi.org/10.1111/cns.14260
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author Yuan, Xin
Yan, Fei
Gao, Li‐Hui
Ma, Qian‐Hui
Wang, Ju
author_facet Yuan, Xin
Yan, Fei
Gao, Li‐Hui
Ma, Qian‐Hui
Wang, Ju
author_sort Yuan, Xin
collection PubMed
description AIMS: Alzheimer's disease (AD) and type 2 diabetes (T2D) are two of the most common diseases in elderly population and they have a high rate of comorbidity. Study has revealed that T2D is a major risk factor of AD, and thus exploring therapeutic approaches that can target both diseases has drawn much interest in recent years. In this study, we tried to explore drugs that could be potentially used to prevent or treat both AD and T2D via a drug repositioning approach. METHODS: We first searched the known drugs that may be effective to T2D treatment based on the network distance between the T2D‐associated genes and drugs deposited in the DrugBank database. Then, via molecular docking, we further screened these drugs by examining their interaction with islet amyloid polypeptide (IAPP) and Aβ42 peptide, the key components involved in the pathogenesis of T2D or AD. Finally, the binding between the selected drug candidates and the target proteins was verified by molecular dynamics (MD) simulation; and the potential function of the drug candidates and the corresponding targets were analyzed. RESULTS: From multiple resources, 734 T2D‐associated genes were collected, and a list of 1109 drug candidates for T2D was obtained. We found that hypericin had the lowest binding energy and the most stable interaction with either IAPP or Aβ42 peptide. In addition, we also found that the target genes regulated by hypericin were differentially expressed in the tissues related to the two diseases. CONCLUSION: Our results show that hypericin may be able to bind with IAPP and Aβ42 stably and prevent their accumulation, and thus could be a promising drug candidate for treating the comorbidity of AD and T2D.
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spelling pubmed-105803472023-10-18 Hypericin as a potential drug for treating Alzheimer's disease and type 2 diabetes with a view to drug repositioning Yuan, Xin Yan, Fei Gao, Li‐Hui Ma, Qian‐Hui Wang, Ju CNS Neurosci Ther Original Articles AIMS: Alzheimer's disease (AD) and type 2 diabetes (T2D) are two of the most common diseases in elderly population and they have a high rate of comorbidity. Study has revealed that T2D is a major risk factor of AD, and thus exploring therapeutic approaches that can target both diseases has drawn much interest in recent years. In this study, we tried to explore drugs that could be potentially used to prevent or treat both AD and T2D via a drug repositioning approach. METHODS: We first searched the known drugs that may be effective to T2D treatment based on the network distance between the T2D‐associated genes and drugs deposited in the DrugBank database. Then, via molecular docking, we further screened these drugs by examining their interaction with islet amyloid polypeptide (IAPP) and Aβ42 peptide, the key components involved in the pathogenesis of T2D or AD. Finally, the binding between the selected drug candidates and the target proteins was verified by molecular dynamics (MD) simulation; and the potential function of the drug candidates and the corresponding targets were analyzed. RESULTS: From multiple resources, 734 T2D‐associated genes were collected, and a list of 1109 drug candidates for T2D was obtained. We found that hypericin had the lowest binding energy and the most stable interaction with either IAPP or Aβ42 peptide. In addition, we also found that the target genes regulated by hypericin were differentially expressed in the tissues related to the two diseases. CONCLUSION: Our results show that hypericin may be able to bind with IAPP and Aβ42 stably and prevent their accumulation, and thus could be a promising drug candidate for treating the comorbidity of AD and T2D. John Wiley and Sons Inc. 2023-05-14 /pmc/articles/PMC10580347/ /pubmed/37183545 http://dx.doi.org/10.1111/cns.14260 Text en © 2023 The Authors. CNS Neuroscience & Therapeutics published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Yuan, Xin
Yan, Fei
Gao, Li‐Hui
Ma, Qian‐Hui
Wang, Ju
Hypericin as a potential drug for treating Alzheimer's disease and type 2 diabetes with a view to drug repositioning
title Hypericin as a potential drug for treating Alzheimer's disease and type 2 diabetes with a view to drug repositioning
title_full Hypericin as a potential drug for treating Alzheimer's disease and type 2 diabetes with a view to drug repositioning
title_fullStr Hypericin as a potential drug for treating Alzheimer's disease and type 2 diabetes with a view to drug repositioning
title_full_unstemmed Hypericin as a potential drug for treating Alzheimer's disease and type 2 diabetes with a view to drug repositioning
title_short Hypericin as a potential drug for treating Alzheimer's disease and type 2 diabetes with a view to drug repositioning
title_sort hypericin as a potential drug for treating alzheimer's disease and type 2 diabetes with a view to drug repositioning
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10580347/
https://www.ncbi.nlm.nih.gov/pubmed/37183545
http://dx.doi.org/10.1111/cns.14260
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