Evidence map›Paper›PMID 40329249›Full record

ArticleBMC neurology2025

The role of immune cell phenotypes and metabolites in the risk of ischemic stroke: a Mendelian randomization-based mediation analysis.

Qiming Liu, Rui Shi, Yiting Gu, Jiayun Zhang, Shiduo Wang, Tiantian Xu, Zhe Zhang, Junbiao Tian

Abstract read
In one paragraph

Article in BMC neurology, 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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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

8 authors.

Qiming LiuGraduate School, Hebei University of Chinese Medicine, Shijiazhuang, 050091, China.
Rui ShiGraduate School, Hebei University of Chinese Medicine, Shijiazhuang, 050091, China.
Yiting GuGraduate School, Hebei University of Chinese Medicine, Shijiazhuang, 050091, China.
Jiayun ZhangGraduate School, Hebei University of Chinese Medicine, Shijiazhuang, 050091, China.
Shiduo WangGraduate School, Hebei University of Chinese Medicine, Shijiazhuang, 050091, China.
Tiantian XuGraduate School, Hebei University of Chinese Medicine, Shijiazhuang, 050091, China.
Zhe ZhangDepartment of Neurology, The First Affiliated Hospital of Hebei University of Chinese Medicine, Shijiazhuang, 050011, China.
Junbiao TianDepartment of Neurology, The First Affiliated Hospital of Hebei University of Chinese Medicine, Shijiazhuang, 050011, China. jbt1965@163.com.

Funding

Hebei Provincial Administration of Traditional Chinese Medicine Scientific Research Programme Key Projects Z2022008Hebei Provincial Science and Technology Programme Funding (Key R&D Programme) Projects 20377710DHebei University of Chinese Medicine Graduate Student Innovation Ability Training Support Project XCXZZBS2025020
6 · The paper itself

Abstract

backgroundIschemic stroke (IS) occurs when a blood clot obstructs a blood vessel supplying blood to the brain, leading to brain tissue damage due to insufficient oxygen and nutrients. The roles of immune cells and metabolites in IS are increasingly recognized, yet their specific mechanisms remain unclear.

methodsThis study conducted a comprehensive statistical analysis to explore the relationships between immune cell phenotypes, metabolite levels, and IS. We utilized methods such as inverse variance weighted (IVW), weighted median, and MR Egger to ensure robust results. Sensitivity analyses were performed to confirm the absence of significant heterogeneity or pleiotropy.

resultsWe identified several immune cell phenotypes significantly associated with IS. Notably, IgD + CD24 + AC showed a positive association with IS (OR = 1.045601, p = 0.011562), while CD62L- HLA DR + + monocyte AC demonstrated a negative association (OR = 0.948673, p = 0.005415). Among metabolites, adenosine 5'-monophosphate (AMP) to cysteine ratio was positively associated with IS (OR = 1.083144, p = 0.000310), whereas xanthurenate levels were negatively associated (OR = 0.926100, p = 0.001614). Mediation analysis revealed a significant mediating effect of acetylcarnitine levels on the relationship between IgD + CD24 + AC and IS, with an estimated mediation effect of 0.00606 (p = 0.036834077).

conclusionOur study highlights the crucial roles of specific immune cell phenotypes and metabolites in IS, suggesting their potential as novel therapeutic targets or biomarkers. The mediation analysis underscores the complex interactions between immune cells and metabolites in IS, providing valuable insights for future research. These findings pave the way for further exploration of the pathophysiological mechanisms and therapeutic strategies for IS.

Indexed as

Ischemic StrokeMonocytesHumansMendelian Randomization AnalysisPhenotypeImmune cell phenotypesIschemic strokeMediation analysisMendelian randomizationMetabolites

Identifiers

PMID40329249
PMCPMC12054204

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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.