Cargando…

Effect of botanical drugs in improving symptoms of hypertensive nephropathy: Analysis of real-world data, retrospective cohort, network, and experimental assessment

Background/aim: Hypertensive nephropathy (HN) is a common complication of hypertension. Traditional Chinese medicine has long been used in the clinical treatment of Hypertensive nephropathy. However, botanical drug prescriptions have not been summarized. The purpose of this study is to develop a pre...

Descripción completa

Detalles Bibliográficos
Autores principales: Huan, Jia-Ming, Ma, Xi-Ting, Li, Si-Yi, Hu, Dong-Qing, Chen, Hao-Yu, Wang, Yi-Min, Su, Xiao-Yi, Su, Wen-Ge, Wang, Yi-Fei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10113664/
https://www.ncbi.nlm.nih.gov/pubmed/37089916
http://dx.doi.org/10.3389/fphar.2023.1126972
_version_ 1785027890379751424
author Huan, Jia-Ming
Ma, Xi-Ting
Li, Si-Yi
Hu, Dong-Qing
Chen, Hao-Yu
Wang, Yi-Min
Su, Xiao-Yi
Su, Wen-Ge
Wang, Yi-Fei
author_facet Huan, Jia-Ming
Ma, Xi-Ting
Li, Si-Yi
Hu, Dong-Qing
Chen, Hao-Yu
Wang, Yi-Min
Su, Xiao-Yi
Su, Wen-Ge
Wang, Yi-Fei
author_sort Huan, Jia-Ming
collection PubMed
description Background/aim: Hypertensive nephropathy (HN) is a common complication of hypertension. Traditional Chinese medicine has long been used in the clinical treatment of Hypertensive nephropathy. However, botanical drug prescriptions have not been summarized. The purpose of this study is to develop a prescription for improving hypertensive nephropathy, explore the evidence related to clinical application of the prescription, and verify its molecular mechanism of action. Methods: In this study, based on the electronic medical record data on Hypertensive nephropathy, the core botanical drugs and patients’ symptoms were mined using the hierarchical network extraction and fast unfolding algorithm, and the protein interaction network between botanical drugs and Hypertensive nephropathy was established. The K-nearest neighbors (KNN) model was used to analyze the clinical and biological characteristics of botanical drug compounds to determine the effective compounds. Hierarchical clustering was used to screen for effective botanical drugs. The clinical efficacy of botanical drugs was verified by a retrospective cohort. Animal experiments were performed at the target and pathway levels to analyze the mechanism. Results: A total of 14 botanical drugs and five symptom communities were obtained from real-world clinical data. In total, 76 effective compounds were obtained using the K-nearest neighbors model, and seven botanical drugs were identified as Gao Shen Formula by hierarchical clustering. Compared with the classical model, the Area under the curve (AUC) value of the K-nearest neighbors model was the best; retrospective cohort verification showed that Gao Shen Formula reduced serum creatinine levels and Chronic kidney disease (CKD) stage [OR = 2.561, 95% CI (1.025–6.406), p < 0.05]. With respect to target and pathway enrichment, Gao Shen Formula acts on inflammatory factors such as TNF-α, IL-1β, and IL-6 and regulates the NF-κB signaling pathway and downstream glucose and lipid metabolic pathways. Conclusion: In the retrospective cohort, we observed that the clinical application of Gao Shen Formula alleviates the decrease in renal function in patients with hypertensive nephropathy. It is speculated that Gao Shen Formula acts by reducing inflammatory reactions, inhibiting renal damage caused by excessive activation of the renin-angiotensin-aldosterone system, and regulating energy metabolism.
format Online
Article
Text
id pubmed-10113664
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-101136642023-04-20 Effect of botanical drugs in improving symptoms of hypertensive nephropathy: Analysis of real-world data, retrospective cohort, network, and experimental assessment Huan, Jia-Ming Ma, Xi-Ting Li, Si-Yi Hu, Dong-Qing Chen, Hao-Yu Wang, Yi-Min Su, Xiao-Yi Su, Wen-Ge Wang, Yi-Fei Front Pharmacol Pharmacology Background/aim: Hypertensive nephropathy (HN) is a common complication of hypertension. Traditional Chinese medicine has long been used in the clinical treatment of Hypertensive nephropathy. However, botanical drug prescriptions have not been summarized. The purpose of this study is to develop a prescription for improving hypertensive nephropathy, explore the evidence related to clinical application of the prescription, and verify its molecular mechanism of action. Methods: In this study, based on the electronic medical record data on Hypertensive nephropathy, the core botanical drugs and patients’ symptoms were mined using the hierarchical network extraction and fast unfolding algorithm, and the protein interaction network between botanical drugs and Hypertensive nephropathy was established. The K-nearest neighbors (KNN) model was used to analyze the clinical and biological characteristics of botanical drug compounds to determine the effective compounds. Hierarchical clustering was used to screen for effective botanical drugs. The clinical efficacy of botanical drugs was verified by a retrospective cohort. Animal experiments were performed at the target and pathway levels to analyze the mechanism. Results: A total of 14 botanical drugs and five symptom communities were obtained from real-world clinical data. In total, 76 effective compounds were obtained using the K-nearest neighbors model, and seven botanical drugs were identified as Gao Shen Formula by hierarchical clustering. Compared with the classical model, the Area under the curve (AUC) value of the K-nearest neighbors model was the best; retrospective cohort verification showed that Gao Shen Formula reduced serum creatinine levels and Chronic kidney disease (CKD) stage [OR = 2.561, 95% CI (1.025–6.406), p < 0.05]. With respect to target and pathway enrichment, Gao Shen Formula acts on inflammatory factors such as TNF-α, IL-1β, and IL-6 and regulates the NF-κB signaling pathway and downstream glucose and lipid metabolic pathways. Conclusion: In the retrospective cohort, we observed that the clinical application of Gao Shen Formula alleviates the decrease in renal function in patients with hypertensive nephropathy. It is speculated that Gao Shen Formula acts by reducing inflammatory reactions, inhibiting renal damage caused by excessive activation of the renin-angiotensin-aldosterone system, and regulating energy metabolism. Frontiers Media S.A. 2023-04-04 /pmc/articles/PMC10113664/ /pubmed/37089916 http://dx.doi.org/10.3389/fphar.2023.1126972 Text en Copyright © 2023 Huan, Ma, Li, Hu, Chen, Wang, Su, Su and Wang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Pharmacology
Huan, Jia-Ming
Ma, Xi-Ting
Li, Si-Yi
Hu, Dong-Qing
Chen, Hao-Yu
Wang, Yi-Min
Su, Xiao-Yi
Su, Wen-Ge
Wang, Yi-Fei
Effect of botanical drugs in improving symptoms of hypertensive nephropathy: Analysis of real-world data, retrospective cohort, network, and experimental assessment
title Effect of botanical drugs in improving symptoms of hypertensive nephropathy: Analysis of real-world data, retrospective cohort, network, and experimental assessment
title_full Effect of botanical drugs in improving symptoms of hypertensive nephropathy: Analysis of real-world data, retrospective cohort, network, and experimental assessment
title_fullStr Effect of botanical drugs in improving symptoms of hypertensive nephropathy: Analysis of real-world data, retrospective cohort, network, and experimental assessment
title_full_unstemmed Effect of botanical drugs in improving symptoms of hypertensive nephropathy: Analysis of real-world data, retrospective cohort, network, and experimental assessment
title_short Effect of botanical drugs in improving symptoms of hypertensive nephropathy: Analysis of real-world data, retrospective cohort, network, and experimental assessment
title_sort effect of botanical drugs in improving symptoms of hypertensive nephropathy: analysis of real-world data, retrospective cohort, network, and experimental assessment
topic Pharmacology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10113664/
https://www.ncbi.nlm.nih.gov/pubmed/37089916
http://dx.doi.org/10.3389/fphar.2023.1126972
work_keys_str_mv AT huanjiaming effectofbotanicaldrugsinimprovingsymptomsofhypertensivenephropathyanalysisofrealworlddataretrospectivecohortnetworkandexperimentalassessment
AT maxiting effectofbotanicaldrugsinimprovingsymptomsofhypertensivenephropathyanalysisofrealworlddataretrospectivecohortnetworkandexperimentalassessment
AT lisiyi effectofbotanicaldrugsinimprovingsymptomsofhypertensivenephropathyanalysisofrealworlddataretrospectivecohortnetworkandexperimentalassessment
AT hudongqing effectofbotanicaldrugsinimprovingsymptomsofhypertensivenephropathyanalysisofrealworlddataretrospectivecohortnetworkandexperimentalassessment
AT chenhaoyu effectofbotanicaldrugsinimprovingsymptomsofhypertensivenephropathyanalysisofrealworlddataretrospectivecohortnetworkandexperimentalassessment
AT wangyimin effectofbotanicaldrugsinimprovingsymptomsofhypertensivenephropathyanalysisofrealworlddataretrospectivecohortnetworkandexperimentalassessment
AT suxiaoyi effectofbotanicaldrugsinimprovingsymptomsofhypertensivenephropathyanalysisofrealworlddataretrospectivecohortnetworkandexperimentalassessment
AT suwenge effectofbotanicaldrugsinimprovingsymptomsofhypertensivenephropathyanalysisofrealworlddataretrospectivecohortnetworkandexperimentalassessment
AT wangyifei effectofbotanicaldrugsinimprovingsymptomsofhypertensivenephropathyanalysisofrealworlddataretrospectivecohortnetworkandexperimentalassessment