Evidence map›Paper›PMID 41531492›Full record

ArticleFrontiers in aging neuroscience2025

Integrated bioinformatics analysis reveals Netrin-1 as a key molecular link between Parkinson's disease and heart failure.

Zhen Ni, Gaoge Wang, Yingyan Li, Huan Chen, Hongwei Hou, Qingyuan Hu

Abstract read
In one paragraph

Article in Frontiers in aging neuroscience, 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

6 authors.

Zhen NiState Key Laboratory of Membrane Biology, School of Life Sciences, Peking University, Beijing, China.
Gaoge WangBeijing Life Science Academy, Beijing, China.
Yingyan LiBeijing Life Science Academy, Beijing, China.
Huan ChenBeijing Life Science Academy, Beijing, China.
Hongwei HouBeijing Life Science Academy, Beijing, China.
Qingyuan HuBeijing Life Science Academy, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Parkinson's disease (PD) patients face a higher risk of developing heart failure (HF). The objective of the study was to investigate the hub genes and potential mechanisms linking Parkinson's disease (PD) to heart failure (HF) using multiple integrative bioinformatics tools. Methods: Integrated bioinformatics analyses were performed. One HF dataset (GSE57338) and three PD datasets (GSE7621, GSE20146, GSE49036) were obtained from the GEO database. Weighted gene co-expression network analysis (WGCNA) was used to identify PD-related genes. Differentially expressed genes (DEGs) between PD and normal samples, as well as between HF and normal samples, were identified. The intersection of DEGs, WGCNA-derived PD-related genes, and genes encoding known secretory proteins was analyzed to find PD-associated secretory proteins. Immune cell infiltration in HF was assessed using CIBERSORT. Protein-protein interaction (PPI) network analysis was conducted to identify hub genes. Key findings were experimentally validated in an MPTP-induced PD mouse model through behavioral tests, ELISA, and immunohistochemistry. Results: Analysis identified 21 PD-associated secretory proteins. Intersection with HF DEGs revealed 12 common genes, from which 8 functional genes with consistent expression patterns in both conditions were identified. PPI network analysis highlighted three hub genes: Conclusion: These insights highlight the coexistence of PD and HF and suggest new avenues for investigating strategies to prevent HF in PD patients, particularly by exploring the role of Netrin-1 in the heart and its potential for cardioprotection.

Indexed as

bioinformaticsheart failureNetrin-1Parkinson’s diseaseRNA-seq

Identifiers

PMID41531492
PMCPMC12791169

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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.