Evidence map›Paper›PMID 41488603›Full record

ArticleBrain communications2026

Identification of potential therapeutic targets for stroke and its subtypes by integrating proteomes and genetics from human plasma.

Hanchen Liu, Xiaoxi Zhang, Hongyu Ma, Thanh N Nguyen, Yi Ling, Shaojun Mo, Qinghai Huang, Jianmin Liu, Yu Zhou, Pengfei Yang

Abstract read
In one paragraph

Article in Brain communications, 2026. 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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0cells of the map it votes in
0citing papers in PubMed
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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.

Hanchen LiuDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China.ORCID https://orcid.org/0009-0004-3533-6521
Xiaoxi ZhangNeurovascular Center, Naval Medical University Changhai Hospital, Shanghai 200433, China.
Hongyu MaNeurovascular Center, Naval Medical University Changhai Hospital, Shanghai 200433, China.
Thanh N NguyenBoston University Chobanian and Avedisian School of Medicine, Department of Neurology & Radiology, Boston Med Center, Boston, MA 02118, USA.
Yi LingNeurovascular Center, Naval Medical University Changhai Hospital, Shanghai 200433, China.
Shaojun MoNeurovascular Center, Naval Medical University Changhai Hospital, Shanghai 200433, China.
Qinghai HuangNeurovascular Center, Naval Medical University Changhai Hospital, Shanghai 200433, China.
Jianmin LiuNeurovascular Center, Naval Medical University Changhai Hospital, Shanghai 200433, China.ORCID https://orcid.org/0000-0002-3599-8267
Yu ZhouNeurovascular Center, Naval Medical University Changhai Hospital, Shanghai 200433, China.
Pengfei YangNeurovascular Center, Naval Medical University Changhai Hospital, Shanghai 200433, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous genome-wide association studies (GWAS) have identified several risk genes for stroke; however, it remains unclear how they confer risk for the disease. We conducted an integrative analysis to identify candidate genes for stroke and stroke subtypes by integrating blood-derived multi-omics data with genetic data. We systematically integrated the latest stroke GWAS database with human plasma proteomes and performed proteome-wide association studies, Mendelian randomization (MR), Bayesian colocalization analysis and transcriptome-wide association study to prioritize genes that associate the risk of stroke and its subtypes with their expression and protein abundance in plasma. The target genes were verified by performing tissue and cell type specificity, and functional analysis using the Genotype-Tissue Expression database, single-cell RNA sequencing and Gene Ontology databases. A two-step MR analysis was followed to explore the potential mechanisms. We found that the protein abundance of seven genes (

Indexed as

Bayesian colocalizationhuman plasma proteomesproteome-wide association studystroketranscriptome-wide association study

Identifiers

PMID41488603
PMCPMC12758125

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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.