Evidence map›Paper›PMID 41055763›Full record

ArticleCell biology and toxicology2025

Characterization of SPTLC2 as a key driver promoting microglial activation and energy metabolism reprogramming after ischemic stroke through bulk and single-cell analyses combined with experimental validation.

Yongxing Lai, Peiqiang Lin, Zhiyun Wu, Tin Chen, Wenyao Hong, Mouwei Zheng, Jianhao Chen, Nan Liu, Hongbin Chen

Abstract read
In one paragraph

Article in Cell biology and toxicology, 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
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
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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

9 authors.

Yongxing Lai *Department of Neurology, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou, 350001, Fujian, China.
Peiqiang Lin *Department of Neurology, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou, 350001, Fujian, China.
Zhiyun WuDepartment of Neurology, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou, 350001, Fujian, China.
Tin ChenDepartment of Neurology, Fuzhou University Affiliated Provincial Hospital, Fuzhou, China.
Wenyao HongDepartment of Neurosurgery, Fuzhou University Affiliated Provincial Hospital, Fuzhou, China.
Mouwei ZhengDepartment of Geriatric Medicine, Fuzhou University Affiliated Provincial Hospital, Fuzhou, China.
Jianhao ChenDepartment of Rehabilitation Medicine, Fuzhou University Affiliated Provincial Hospital, Fuzhou, China.
Nan LiuDepartment of Neurology, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou, 350001, Fujian, China. xieheliunan1984@163.com.
Hongbin ChenDepartment of Neurology, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou, 350001, Fujian, China. hbchen0127@fjmu.edu.cn.

Funding

Joint Funds for the innovation of science and Technology, Fujian province No.2020Y9065Joint Funds for the innovation of science and Technology, Fujian province No.2023Y9277Joint Funds for the innovation of science and Technology, Fujian province No.2024Y9002Natural Science Foundation of Fujian Province No. 2022J05072Natural Science Foundation of Fujian Province No.2023J05227
6 · The paper itself

Abstract

backgroundIschemic stroke (IS) stands as a principal contributor to high rates of sickness and death. The condition's pathological development is complicated, featuring mechanisms like mitochondrial impairment and the activation of microglial cells. A thorough grasp of these intricate processes is vital for creating successful treatment strategies.

methodsWe applied Weighted Gene Co-expression Network Analysis (WGCNA) to find gene sets with a strong correlation to IS. Integrated machine learning approachs were used to identify key mitochondrial-related genes (MRGs). From this analysis, SPTLC2 was identified as a pivotal MRG and was subsequently analyzed in detail using single-cell RNA sequencing (scRNA-seq) datasets. We performed functional confirmation using experimental stroke simulations, which included transient middle cerebral artery occlusion (tMCAO) in mice and in vitro oxygen-glucose deprivation/reoxygenation (OGD/R) on primary microglia.

resultsWGCNA revealed two critical modules (yellow and blue) comprising 5348 genes, which were predominantly enriched in immune response, nerve regeneration, and lipid metabolism. We exhibited the robust and superior performance of MRGs in stroke prediction, which contributed to an optimal combination of ridge regression and random forest fitted on 18 MRGs. Subsequently, elevated expression of the SPTLC2 gene was observed in microglia following stroke. Functional studies and experimental validation demonstrated that SPTLC2 promoted microglial pro-inflammatory phenotype, metabolic reprogramming towards glycolysis, and exacerbated cell-cell communication alterations. SPTLC2-specific knockdown in myeloid cells using an adeno-associated virus (AAV) in our tMCAO model alleviated neurobehavioral deficits, reduced infarct volume, and improved mitochondrial function by elevating oxidative stress and mitigating mitochondrial membrane potential depolarization. Additionally, SPTLC2 was regulated by the transcription factor FLI1, and molecular docking identified potential drugs targeting SPTLC2, including Nystatin A3, Moxidectin, and Lumacaftor.

conclusionOur study highlights SPTLC2 as a critical mediator of microglial activation and metabolic reprogramming in ischemic stroke, providing a foundation for developing novel therapeutic strategies targeting SPTLC2 to improve stroke outcomes.

Indexed as

Brain IschemiaEnergy MetabolismIschemic StrokeMicrogliaAnimalsDisease Models, AnimalGene Regulatory NetworksMaleMetabolic ReprogrammingMiceMice, Inbred C57BLMitochondriaSingle-Cell AnalysisMachine learningMicrogliaMitochondriaSingle-cell RNA sequencingSPTLC2Stroke

Identifiers

PMID41055763
PMCPMC12504400

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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.