Evidence mapPaperPMID 40329967Full record

ArticleFrontiers in cardiovascular medicine2025

Mechanism of Ershen Zhenwu Decoction in ameliorating chronic heart failure via JNK/MAPK-regulated apoptosis: insights from network pharmacology and experimental validation.

Yulong Liu, Xinyue Wang, Maomao Zhang, Dan Cheng, Zhenpeng Zhu, Lan Ge, Xiaoyu Cheng

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Article in Frontiers in cardiovascular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yulong Liu *First Affiliated Hospital of Anhui University of Chinese Medicine, Anhui University of Chinese Medicine, Hefei, China.
Xinyue Wang *First Affiliated Hospital of Anhui University of Chinese Medicine, Anhui University of Chinese Medicine, Hefei, China.
Maomao ZhangFirst Affiliated Hospital of Anhui University of Chinese Medicine, Anhui University of Chinese Medicine, Hefei, China.
Dan ChengFirst Affiliated Hospital of Anhui University of Chinese Medicine, Anhui University of Chinese Medicine, Hefei, China.
Zhenpeng ZhuFirst Affiliated Hospital of Anhui University of Chinese Medicine, Anhui University of Chinese Medicine, Hefei, China.
Lan GeFirst Affiliated Hospital of Anhui University of Chinese Medicine, Anhui University of Chinese Medicine, Hefei, China.
Xiaoyu ChengFirst Affiliated Hospital of Anhui University of Chinese Medicine, Anhui University of Chinese Medicine, Hefei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Chronic heart failure (CHF) is a complex cardiovascular disease caused by different pathological mechanisms. Modern medicine has made advancements in CHF treatment; however, there are still many challenges. Ershen Zhenwu Decoction (ESZWD) is a Xin'an medicine that has been clinically applied for years and had good efficacy against CHF; however, its underlying mechanisms remain undetermined. Therefore, this study aims to investigate the primary molecular mechanisms of ESZWD in CHF treatment and elucidate its multi-target and multi-level mode of action. Objective: The aim of this study was to investigate the main molecular mechanisms of ESZWD for the treatment of CHF and to elucidate its multi-target and multi-level mode of action. Methods: This study employed a network pharmacology approach to analyze the main ESZWD components and core targets. Furthermore, primary CHF targets were predicted to develop a protein-protein interaction (PPI) network and perform Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses. Moreover, molecular docking was carried out to validate the binding between active ingredients and key targets. For Results: Network pharmacology identified 437 targets for 34 major ESZWD components. Of these, 216 drug-disease intersection targets were identified. The PPI network analysis identified the following core targets: STAT3, HSP90AA1, MAPK8, NFKB1, HIF1A, MMP9, PTGS2, BCL2L1, TLR4, and ESR1. GO analysis revealed that these targets were associated with exogenous stimuli responses, phosphorylation regulation, inflammatory response, and protein tyrosine kinase activity. Furthermore, KEGG analysis showed that ESZWD predominantly impacts cancer, inflammatory response, and apoptosis pathways, with c-Jun N-terminal kinase/mitogen-activated protein kinase (JNK/MAPK)-regulated apoptosis being a key pathway. Conclusion: Our study shows that paeoniflorin, acetylaconitine, and cryptotanshinone bind to key proteins in the JNK/MAPK apoptosis pathway.

Indexed as

apoptosisErshen Zhenwu decoctionJNK/MAPKmolecular dockingnetwork pharmacology

Identifiers

PMID40329967
PMCPMC12052711

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.