Evidence map›Paper›PMID 40808948›Full record

ArticleFrontiers in immunology2025

Multi-omics exploration of chaperone-mediated immune-proteostasis crosstalk in vascular dementia and identification of diagnostic biomarkers.

Wentong Li, Yiyi Zhang, Chuanhong Li, Mingyang Jiang, Dong Wang, Luomeng Chao, Yuxia Yang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. The enigma of vascular dementia: current state and emerging perspectives.Journal of neural transmission (Vienna, Austria : 1996) · 2026
    Review
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

7 authors.

Wentong LiCollege of Computer Science and Technology, Inner Mongolia MINZU University, Tongliao, China.
Yiyi ZhangCollege of Computer Science and Technology, Inner Mongolia MINZU University, Tongliao, China.
Chuanhong LiCollege of Computer Science and Technology, Inner Mongolia MINZU University, Tongliao, China.
Mingyang JiangCollege of Computer Science and Technology, Inner Mongolia MINZU University, Tongliao, China.
Dong WangDepartment Oncology of Mongolian-Western Medicine, Affiliated Hospital of Inner Mongolia MINZU University, Tongliao, China.
Luomeng ChaoCollege of Animal Science and Technology, Inner Mongolia MINZU University, Tongliao, China.
Yuxia YangCollege of Computer Science and Technology, Inner Mongolia MINZU University, Tongliao, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Vascular dementia (VaD), the second most prevalent form of dementia globally, remains insufficiently understood in terms of its molecular mechanisms and diagnostic biomarkers. This study aims to elucidate the regulatory network and diagnostic potential of the molecular chaperone system in VaD through the integration of multi-omics data and machine learning algorithms. Methods: Transcriptomic data from frontal and temporal cortex (GSE122063, n=15)and white matter (GSE282111, n=8) samples were obtained from the GEO database. Differentially expressed genes (DEGs) were identified using the limma package (log2FC>0.656, Results: A total of 897 DEGs were identified, with functional enrichment analysis revealing significant involvement in T cell activation ( Conclusion: This study elucidates the HSP90AA1-HSPA1B-DNAJB1 network as a key driver of VaD pathogenesis through dual mechanisms of protein homeostasis and immune reprogramming. The diagnostic performance of this network significantly surpasses traditional biomarkers (ΔAUC≥14.3%), offering novel targets for precision diagnostics and therapeutics. However, further validation with larger cohorts is necessary to assess its clinical translational potential.

Indexed as

Dementia, VascularProteostasisAnimalsBiomarkersGene Regulatory NetworksMachine LearningMaleMiceMice, Inbred C57BLMultiomicsProtein Interaction MapsSingle-Cell AnalysisTranscriptomeBiomarkersdiagnostic biomarkersmachine learningproteostasis crosstalksingle-cell transcriptome analysisvascular dementia

Identifiers

PMID40808948
PMCPMC12343264

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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 OpenQuestion graph.