Evidence map›Paper›PMID 41948145›Full record

ArticleFrontiers in cardiovascular medicine2026

Exploring the mechanism of Yi Qi Huo Xue compound prescription in treating chronic heart failure based on integrated network pharmacology and transcriptomics.

Jiadan Liao, Pengcheng Wang, Zuoyue Wu, Juan Cui, Peiyun Shen, Xufeng Chen

Abstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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.

2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Jiadan LiaoDepartment of Cardiology, The Third Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China.
Pengcheng WangDepartment of Tuberculosis, Hangzhou Red Cross Hospital, Hangzhou, China.
Zuoyue WuDepartment of Cardiology, The Third Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China.
Juan CuiDepartment of Cardiology, The Third Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China.
Peiyun ShenDepartment of Cardiology, Longquan People's Hospital, Lishui, China.
Xufeng ChenDepartment of Cardiology, Tongde Hospital of Zhejiang Province, Hangzhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Chronic heart failure (CHF) represents a major global health burden characterized by complex pathologies. The Yi Qi Huo Xue compound prescription (YQHXCP) has demonstrated significant clinical efficacy in alleviating heart failure symptoms; however, its precise molecular mechanisms remain obscure. Objective: This study aims to elucidate the core targets and biological pathways of YQHXCP in treating CHF through an integrated approach combining network pharmacology with transcriptomic validation. Methods: A rat model of heart failure was established, and transcriptomic data were acquired via RNA sequencing. Concurrently, putative targets of YQHXCP were retrieved from the TCMSP and SwissTargetPrediction databases. Key targets were identified by intersecting differentially expressed genes (DEGs) from the animal model with predicted drug targets. Subsequently, functional enrichment analysis, gene-gene interaction (GGI) network construction, and molecular docking were employed to decipher the underlying mechanisms, followed by Results: Three pivotal target genes were identified: Top2a, Cdk1, and E2f2. Enrichment analysis revealed that YQHXCP primarily modulates mitochondrial protein complexes, ribosomal subunit assembly, and cell cycle checkpoints. Molecular docking demonstrated strong binding affinity between the active ingredient quercetin and both Cdk1 and E2f2 proteins. RT-qPCR confirmed that YQHXCP significantly reversed the downregulation of Cdk1 and E2f2 expression in the myocardial tissue of CHF rats. Conclusion: YQHXCP may exert its anti-CHF effects by targeting Cdk1 and E2f2 to regulate mitochondrial function and cell cycle homeostasis. These findings provide novel insights into the multi-target therapeutic mechanisms of traditional Chinese medicine formulations.

Indexed as

chronic heart failurekey target genesnetwork pharmacologytranscriptomicsYi Qi Huo Xue compound prescription

Identifiers

PMID41948145
PMCPMC13050721

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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 OpenQuestion graph.