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Network pharmacology analysis reveals potential targets and mechanisms of proton pump inhibitors in breast cancer with diabetes

Breast cancer and diabetes are significant health challenges, and effective treatments for both diseases are lacking. Proton pump inhibitors (PPIs) have demonstrated anticancer and hypoglycemic effects, but their mechanisms of action are not yet fully understood. We used the GeneCards and PharmMappe...

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Autores principales: Hu, Haihong, Wang, Hanbin, Yang, Xiaoyan, Li, Zhicheng, Zhan, Wendi, Zhu, HongXia, Zhang, Taolan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10172348/
https://www.ncbi.nlm.nih.gov/pubmed/37165049
http://dx.doi.org/10.1038/s41598-023-34524-x
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author Hu, Haihong
Wang, Hanbin
Yang, Xiaoyan
Li, Zhicheng
Zhan, Wendi
Zhu, HongXia
Zhang, Taolan
author_facet Hu, Haihong
Wang, Hanbin
Yang, Xiaoyan
Li, Zhicheng
Zhan, Wendi
Zhu, HongXia
Zhang, Taolan
author_sort Hu, Haihong
collection PubMed
description Breast cancer and diabetes are significant health challenges, and effective treatments for both diseases are lacking. Proton pump inhibitors (PPIs) have demonstrated anticancer and hypoglycemic effects, but their mechanisms of action are not yet fully understood. We used the GeneCards and PharmMapper databases to identify therapeutic targets for diabetes,  breast cancer and PPIs. We identified common targets and constructed a regulatory network of diseases and drugs using the STRING database and Cytoscape software. We also explored the binding between small molecule ligands and protein receptors using Discovery Studio software. We identified 33 shared targets for breast cancer, diabetes, and PPIs including lansoprazole, omeprazole, and pantoprazole, which play a critical role in fatty acid transport, insulin resistance, apoptosis, and cancer-related signaling pathways. Our findings demonstrated that PPIs had a strong affinity for AKT1 and MMP9. This study provides insights into the mechanisms of action of PPIs in breast cancer and diabetes and identifies AKT1 and MMP9 as critical targets for future drug development. Our findings highlight the potential of PPIs as a novel therapeutic approach for these challenging diseases.
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spelling pubmed-101723482023-05-12 Network pharmacology analysis reveals potential targets and mechanisms of proton pump inhibitors in breast cancer with diabetes Hu, Haihong Wang, Hanbin Yang, Xiaoyan Li, Zhicheng Zhan, Wendi Zhu, HongXia Zhang, Taolan Sci Rep Article Breast cancer and diabetes are significant health challenges, and effective treatments for both diseases are lacking. Proton pump inhibitors (PPIs) have demonstrated anticancer and hypoglycemic effects, but their mechanisms of action are not yet fully understood. We used the GeneCards and PharmMapper databases to identify therapeutic targets for diabetes,  breast cancer and PPIs. We identified common targets and constructed a regulatory network of diseases and drugs using the STRING database and Cytoscape software. We also explored the binding between small molecule ligands and protein receptors using Discovery Studio software. We identified 33 shared targets for breast cancer, diabetes, and PPIs including lansoprazole, omeprazole, and pantoprazole, which play a critical role in fatty acid transport, insulin resistance, apoptosis, and cancer-related signaling pathways. Our findings demonstrated that PPIs had a strong affinity for AKT1 and MMP9. This study provides insights into the mechanisms of action of PPIs in breast cancer and diabetes and identifies AKT1 and MMP9 as critical targets for future drug development. Our findings highlight the potential of PPIs as a novel therapeutic approach for these challenging diseases. Nature Publishing Group UK 2023-05-10 /pmc/articles/PMC10172348/ /pubmed/37165049 http://dx.doi.org/10.1038/s41598-023-34524-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Hu, Haihong
Wang, Hanbin
Yang, Xiaoyan
Li, Zhicheng
Zhan, Wendi
Zhu, HongXia
Zhang, Taolan
Network pharmacology analysis reveals potential targets and mechanisms of proton pump inhibitors in breast cancer with diabetes
title Network pharmacology analysis reveals potential targets and mechanisms of proton pump inhibitors in breast cancer with diabetes
title_full Network pharmacology analysis reveals potential targets and mechanisms of proton pump inhibitors in breast cancer with diabetes
title_fullStr Network pharmacology analysis reveals potential targets and mechanisms of proton pump inhibitors in breast cancer with diabetes
title_full_unstemmed Network pharmacology analysis reveals potential targets and mechanisms of proton pump inhibitors in breast cancer with diabetes
title_short Network pharmacology analysis reveals potential targets and mechanisms of proton pump inhibitors in breast cancer with diabetes
title_sort network pharmacology analysis reveals potential targets and mechanisms of proton pump inhibitors in breast cancer with diabetes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10172348/
https://www.ncbi.nlm.nih.gov/pubmed/37165049
http://dx.doi.org/10.1038/s41598-023-34524-x
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