Evidence map›Paper›PMID 40849856›Full record

ArticleCellular and molecular neurobiology2025

Multi-dimensional Multi-omics Integrative Study to Identify Target Genes for Ischemic Stroke and Related Chronic Pain.

Yuanlin Wang, Dan Liu, Shuai Wang, Ruizhi Zhang, Xianwen Wang, Yonghao Yu

Abstract read
In one paragraph

Article in Cellular and molecular neurobiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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.

Yuanlin Wang *Department of Anesthesiology, Tianjin Medical University General Hospital, Tianjin, China. wyl1996@tmu.edu.cn.
Dan Liu *School of Medicine, Nankai University, Tianjin, China.
Shuai Wang *Department of Anesthesiology, Tianjin Medical University General Hospital, Tianjin, China.
Ruizhi ZhangDepartment of Critical Care Medicine, Tianjin Medical University General Hospital, Tianjin, China.
Xianwen WangDepartment of Dermatology and Sexual Diseases, Tianjin Medical University General Hospital, Tianjin, China.
Yonghao YuDepartment of Anesthesiology, Tianjin Medical University General Hospital, Tianjin, China. yyu@tmu.edu.cn.

Funding

Tianjin Health Research Project TJWJ2022XK006Tianjin Key Medical Discipline (Specialty) Construction Project TJYXZDXK-036A
6 · The paper itself

Abstract

Chronic pain is the most common complications and after-effects for ischemic stroke. Through exploring immune related cell death target genes of ischemic stroke is essential for understanding ischemic stroke and chronic pain complications. Referred to three types of immune related cell deaths' marker genes, mRNA and microRNA transcriptomics data from mice MCAO model were firstly analyzed through multi algorithms. Then, screening common gene with brain chronic pain related dataset. At the single-cell level, we performed immune cell identification and differentially expressional analysis for entire stroke brain environment and pseudo-time analysis for candidate immune cells. Based on GWAS and eQTLs, colocalization analysis, and drug target mendelian randomization methods were used to evaluate causal relationships and drug target effects. Furthermore, to explore spatial characters spatial transcriptomic analysis was conducted. At last, PCR experiments in animal model were conducted. Cell death state is positively correlated with immune infiltration degree. Five core mRNAs, S100a6, Anxa3, Ncf4, Capg, and Arpc1b, and key microRNA, miR-298-5p, were screened as biomarkers for immune related cell death. Among them, S100a6 play key roles. Toll like receptor pathway and CD4

Indexed as

Chronic PainIschemic StrokeAnimalsGene Expression ProfilingGenome-Wide Association StudyMaleMiceMice, Inbred C57BLMicroRNAsMultiomicsTranscriptomeMicroRNAsCell deathDrug targetIschemic strokeSingle-cell-spatial transcriptomics

Identifiers

PMID40849856
PMCPMC12375526

What OpenQuestion holds

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Registered trials

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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.