Evidence map›Paper›PMID 41368344›Full record

ArticleJournal of inflammation research2025

Single-Cell RNA Sequencing Reveals Microglial Heterogeneity and Functional States After Cerebral Ischemia-Reperfusion Injury.

Yushi Tang, Qi Zhang, Yewei Qu, Lian Yi, Fangqin Li, Changda Qu, Shanshan Shi, Byron Fei Pan, Shirong Wen, Ruohan Sun and 1 more

Abstract read
In one paragraph

Article in Journal of inflammation research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

11 authors.

Yushi TangDepartment of Neurology, The First Affiliated Hospital of Harbin Medical University, Harbin, People's Republic of China.ORCID 0009-0009-6301-688X
Qi ZhangDepartment of Neurology, Heilongjiang Provincial Hospital, Harbin, People's Republic of China.
Yewei QuDepartment of Neurology, The First Affiliated Hospital of Harbin Medical University, Harbin, People's Republic of China.
Lian YiDepartment of Neurology, The First Affiliated Hospital of Harbin Medical University, Harbin, People's Republic of China.
Fangqin LiDepartment of Neurology, The First Affiliated Hospital of Harbin Medical University, Harbin, People's Republic of China.
Changda QuDepartment of Neurology, The First Affiliated Hospital of Harbin Medical University, Harbin, People's Republic of China.
Shanshan ShiDepartment of Neurology, The First Affiliated Hospital of Harbin Medical University, Harbin, People's Republic of China.
Byron Fei PanDepartment of Neurology, The First Affiliated Hospital of Harbin Medical University, Harbin, People's Republic of China.
Shirong WenDepartment of Neurology, The First Affiliated Hospital of Harbin Medical University, Harbin, People's Republic of China.
Ruohan Sun *Department of Neurology, The First Affiliated Hospital of Harbin Medical University, Harbin, People's Republic of China.
Yujun Pan *Department of Neurology, The First Affiliated Hospital of Harbin Medical University, Harbin, People's Republic of China.ORCID 0000-0002-3727-0114

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Ischemic stroke remains a leading cause of mortality and disability worldwide. Microglia, the resident immune cells of the central nervous system, perform critical roles in immune surveillance, debris clearance, and tissue repair. Analyzing the heterogeneity, activation trajectories, and metabolic states of microglia in ischemic stroke is essential for discovering therapeutic targets. Methods: We performed single-cell RNA sequencing (scRNA-seq) on brains from ischemic and control rats and identified transcriptionally distinct microglial subpopulations. We conducted differential expression, pathway enrichment, pseudotime analysis, regulatory network inference, and cell-cell communication mapping to characterize functional states, key transcription factors, and intercellular crosstalk underlying microglial responses following cerebral ischemia-reperfusion injury. We used Real-Time Quantitative PCR (RT-qPCR), Western blot, and immunohistochemistry to measure relative RNA and protein expression levels. Results: We identified seven microglial subclusters with distinct transcriptional signatures. Ischemia-associated clusters exhibited strong activation of inflammatory pathways, increased glycolysis and lipid metabolism, and suppressed TCA cycle and oxidative phosphorylation (OXPHOS), reflecting a shift toward proinflammatory, energy-demanding phenotypes. Pseudotime analysis revealed transitions from homeostatic to pathological states, highlighting potential therapeutic windows. Regulatory network analysis identified activating transcription factor 3 (ATF3) as a central regulator controlling the expression of cholesterol 25-hydroxylase (CH25H) and secreted phosphoprotein 1 (SPP1). Notably, ATF3 overexpression enhanced CH25H expression and selectively increased proinflammatory cytokine production, linking metabolic reprogramming to neuroinflammatory responses. Cell-cell communication analysis further revealed extensive remodeling of interactions with astrocytes, endothelial cells, and fibroblasts, potentially amplifying postischemic neuroinflammation. Conclusion: Our study demonstrates that cerebral ischemia induces transcriptionally and functionally distinct microglial subpopulations, characterized by metabolic reprogramming and proinflammatory activation. ATF3 serves as a central regulator linking CH25H-mediated metabolic changes to cytokine-driven neuroinflammation, highlighting potential therapeutic targets for modulating microglial responses and mitigating ischemia-induced brain injury.

Indexed as

cerebral ischemia-reperfusion injuryfunctional statesheterogeneitymicrogliascRNA-seq

Identifiers

PMID41368344
PMCPMC12684991

What Socratic holds

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LicenceCC BY-NC
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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 Socratic graph.