Evidence map›Paper›PMID 41667706›Full record

ArticleScientific reports2026

Identification of blood-brain barrier injury-related biomarkers in cerebral infarction using transcriptomic analysis.

Xiaoyan Liu, Yu He, Nannan Zhang, Yulan Cai, Chuyu Liu

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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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2 · The registry

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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

5 authors.

Xiaoyan LiuHuman Anatomy, Edinburgh Medical School, College of Medicine & Veterinary Medicine, University of Edinburgh, Edinburgh, UK.
Yu HeDepartment of Artificial Intelligence, Faculty of Computer Science & Information Technology, University Malaya, Kuala Lumpur, Malaysia.
Nannan ZhangHainan BrightBio International Biotechnology Co.,Ltd, Hainan, China.
Yulan CaiDepartment of Endocrinology and Metabolism, The Second Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, China. caiyulanuiui@163.com.
Chuyu LiuThyroid and Breast Surgery, The Second Affiliated Hospital of ZunYi Medical University, ZunYi, Guizhou, China. yb97654@connect.um.edu.mo.

Funding

Guizhou Science and Technology Association Youth Science and Technology Talent Promotion Projec (NO.GASTYESS202434)High-Level Talent Fund of the Second Affiliated Hospital of Zunyi Medical University (GRC-2025-005)Joint Fund of Zunyi Science and Technology Bureau No. 132, Zunshi Kehe HZ (2025)National Natural Science Foundation of China 82260167
6 · The paper itself

Abstract

backgroundCerebral infarction leads to blood-brain barrier (BBB) disruption, exacerbating brain injury through edema, inflammation, and neuronal death. Although BBB damage is a critical event in stroke pathology, the underlying molecular mechanisms and reliable biomarkers remain poorly understood. This study aimed to identify key biomarkers associated with BBB injury following cerebral infarction using an in vitro model and transcriptomic approaches. Human cerebral microvascular endothelial cells (hCMEC/D3) were subjected to oxygen-glucose deprivation (OGD) and OGD/reoxygenation (OGD/R) to simulate ischemic and reperfusion injury. Cell viability, inflammatory cytokines, LDH release, and angiogenesis were assessed. Transcriptomic sequencing, weighted gene co-expression network analysis (WGCNA), and random forest algorithms were employed to identify differentially expressed genes and key biomarkers. OGD treatment significantly increased IL-1β, IL-6, TNF-α, and LDH levels, which were partially reversed by OGD/R. Transcriptomic analysis identified 1229 and 800 differentially expressed genes respectively in OGD and OGD/R comparisons. Enrichment analysis highlighted ribosome, endoplasmic reticulum, and mitochondrial pathways. Six core genes were screened, including RPS7, RPL36A, RPS9, RSL24D1, RPL41, and OSTC, all of which were upregulated under OGD and normalized after reoxygenation. We identified ribosome-related genes as potential biomarkers of BBB injury in cerebral infarction. These findings contribute to our understanding of BBB pathophysiology and suggest possible targets for future diagnostic and therapeutic development in ischemic stroke.

Indexed as

BiomarkersBlood-Brain BarrierCerebral InfarctionGene Expression ProfilingTranscriptomeCell LineCytokinesEndothelial CellsGlucoseHumansOxygenReperfusion InjuryBiomarkersCytokinesGlucoseOxygenBiomarkersBlood-brain barrierCerebral infarctionRibosomeTranscriptomic approaches

Identifiers

PMID41667706
PMCPMC12960792

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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.