Evidence map›Paper›PMID 41931316›Full record

ArticleMedicine2026

New perspectives on the mechanisms and treatment of valvular heart disease: Mendelian randomization and systematic analysis based on plasma proteins.

Cheng Wang, Xiao Shao, Jia Wang, Rui Shi, Moxuan Han, Huiyan Feng, Hezeng Dong, Tengyue Zhang, Wenqian Yang, Yue Deng

Abstract read
In one paragraph

Article in Medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Cheng WangSchool of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun, Jilin, China.
Xiao ShaoDepartment of Cardiology, Affiliated Hospital of Changchun University of Chinese Medicine, Changchun, Jilin, China.
Jia WangDepartment of General Internal Medicine, Affiliated Hospital of Changchun University of Chinese Medicine, Changchun, Jilin, China.
Rui ShiDepartment of Cardiology, Affiliated Hospital of Changchun University of Chinese Medicine, Changchun, Jilin, China.
Moxuan HanSchool of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun, Jilin, China.
Huiyan FengSchool of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun, Jilin, China.
Hezeng DongSchool of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun, Jilin, China.
Tengyue ZhangSchool of Integrated Traditional Chinese and Western Medicine, Changchun University of Chinese Medicine, Changchun, Jilin, China.
Wenqian YangSchool of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun, Jilin, China.
Yue DengDepartment of Cardiology, Affiliated Hospital of Changchun University of Chinese Medicine, Changchun, Jilin, China.ORCID 0000-0003-0924-1233

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Valvular heart disease (VHD) is a common cardiovascular disorder with insidious early symptoms and can progress to heart failure or sudden death. Pharmacological options remain limited, and severe disease often requires surgical intervention. This study aimed to identify key molecular targets and potential therapeutic candidates for VHD using Mendelian randomization (MR) and integrative analyses. A 2-sample MR design was used to evaluate the association between genetically predicted exposures and VHD using publicly available genome-wide association study summary statistics. Downstream analyses included functional enrichment, drug repurposing with molecular docking, protein-protein interaction network construction with hub-gene identification, and single-cell RNA sequencing-based analysis to examine the cell-type distribution of candidate gene expression. MR analysis identified 76 genes associated with VHD, including stathmin 1, ribosomal protein S5, and mitogen-activated protein kinase 8. Enrichment analysis suggested that these genes were involved in multiple signaling pathways potentially related to disease progression. Drug prediction and molecular docking prioritized razoxane, reserpine, and bisindolylmaleimide I as candidate compounds targeting key molecules. Protein-protein interaction network analysis further identified 10 hub genes, such as DEAD-box helicase 6 and apolipoprotein E. Single-cell sequencing showed high expression of these genes in cardiomyocytes, fibroblasts, and smooth muscle cells. This study identified candidate genes and potential drug leads for VHD through an MR-based integrative analysis, providing targets for subsequent mechanistic and experimental validation.

Indexed as

Blood ProteinsHeart Valve DiseasesMendelian Randomization AnalysisGenome-Wide Association StudyHumansMolecular Docking SimulationProtein Interaction MapsBlood ProteinsMendelian randomizationplasma proteinsvalvular calcificationvalvular fibrosisvalvular heart disease

Identifiers

PMID41931316
PMCPMC13052936

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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.