Evidence map›Paper›PMID 42909205›Full record

ReviewFrontiers in immunology2026

Cholesterol dysregulation and microglial NLRP3 inflammasome activation after ischemic stroke: implications for neuroinflammation and functional recovery.

Jing Wang, Pingxu An, Chunyan Fu, Xingqi Su, Yan Sun, Di Ma, Xu Shi, Xinyu Hong

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

8 authors.

Jing Wang *Department of Cardiology and Cerebrovascular Diseases, Jilin Province Electric Power Hospital, Shuxun, Jilin, China.
Pingxu An *Department of Oncological Neurosurgery, The First Hospital of Jilin University, Xinmin, Changchun, Jilin, China.
Chunyan FuLingyun Township Health Center, Dongliao, Liaoyuan, Jilin, China.
Xingqi SuDepartment of Neurology and Neuroscience Center, The First Hospital of Jilin University, Xinmin, Changchun, Jilin, China.
Yan SunDepartment of Cardiology and Cerebrovascular Diseases, Jilin Province Electric Power Hospital, Shuxun, Jilin, China.
Di MaDepartment of Neurology and Neuroscience Center, The First Hospital of Jilin University, Xinmin, Changchun, Jilin, China.
Xu ShiDepartment of Cardiology and Cerebrovascular Diseases, Jilin Province Electric Power Hospital, Shuxun, Jilin, China.
Xinyu HongDepartment of Oncological Neurosurgery, The First Hospital of Jilin University, Xinmin, Changchun, Jilin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Secondary neuroinflammation is an important determinant of tissue injury, repair, and neurological recovery after ischemic stroke, yet the lipid-metabolic environment in which this response develops remains incompletely integrated into current mechanistic models. This narrative review synthesizes PubMed-indexed, peer-reviewed literature published between 2010 and 2026 on post-stroke cholesterol metabolism, microglial lipid handling, NLRP3 inflammasome signaling, immunometabolic remodeling, therapeutic intervention, and recovery-related outcomes. Ischemic injury substantially remodels the local lipid environment through neuronal membrane disruption, myelin breakdown, oxidative lipid modification, altered cholesterol turnover, and blood-brain barrier dysfunction, generating a heterogeneous pool of free cholesterol, cholesteryl esters, lipid droplets, cholesterol crystals, oxysterols, and oxidized lipids. Stroke-specific studies increasingly support the emergence of cholesterol- and lipid-loaded microglial states and show that microglial lipid-processing capacity, including TREM2- and SREBP2-related mechanisms, can influence inflammatory and reparative responses. However, the causal connection between cholesterol dysregulation and NLRP3 activation remains only partly resolved. Direct stroke evidence supports the coexistence of microglial cholesterol overload and NLRP3-associated inflammatory changes, whereas detailed mechanisms involving cholesterol crystal-induced lysosomal injury, metabolic remodeling, and intracellular lipid stress remain partly dependent on cross-model evidence. Oxysterol effects are context dependent, and recent cholesterol-mobilization experiments identify mitochondrial DNA leakage-STING signaling as an alternative, more directly validated downstream pathway. Post-stroke microglia are also functionally heterogeneous, with distinct populations contributing to debris clearance, white matter repair, and neurological recovery. Therapeutically, systemic lipid management should be distinguished from experimental strategies that modify brain cholesterol handling or suppress inflammasome-associated inflammation, and no integrated cholesterol-microglia-NLRP3 treatment strategy has yet been clinically validated. Collectively, current evidence supports a proposed, evidence-stratified framework in which cholesterol-related lipid stress, microglial state, inflammasome susceptibility, and tissue repair partially converge rather than forming a single validated linear causal axis.

Indexed as

CholesterolInflammasomesIschemic StrokeMicrogliaNeuroinflammatory DiseasesNLR Family, Pyrin Domain-Containing 3 ProteinAnimalsHumansLipid MetabolismRecovery of FunctionSignal TransductionCholesterolInflammasomesNLR Family, Pyrin Domain-Containing 3 ProteinNLRP3 protein, humancholesterol metabolismimmunometabolismischemic strokelipid dropletsmicroglianeuroinflammationNLRP3 inflammasomeoxysterols

Identifiers

PMID42909205
PMCPMC13684004

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.