Evidence map›Paper›PMID 42051535›Full record

ArticleFrontiers in immunology2026

Deciphering the peripheral immune landscape of Alzheimer's disease through integrated multi-omics research and cohort validation.

Shi Lv, Jin-Yi Kuang, Tian-Wei Wang, Li-Ping Zhang, Jian Liu, Wen-di Wang, Ming-Feng Yang, Qing-Bin Ni, Bao-Liang Sun, Jing-Yi Sun

Abstract read
In one paragraph

Article in Frontiers in immunology, 2026. 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. 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

10 authors.

Shi LvDepartment of Neurology, Second Affiliated Hospital, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, Shandong, China.
Jin-Yi KuangDepartment of Neurology, Second Affiliated Hospital, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, Shandong, China.
Tian-Wei WangDepartment of Neurology, Second Affiliated Hospital, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, Shandong, China.
Li-Ping ZhangQingdao Medical College of Qingdao University, Qingdao, Shandong, China.
Jian LiuDepartment of Neurology, Second Affiliated Hospital, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, Shandong, China.
Wen-di WangDepartment of Neurology, Second Affiliated Hospital, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, Shandong, China.
Ming-Feng YangDepartment of Neurology, Second Affiliated Hospital, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, Shandong, China.
Qing-Bin NiThe Affiliated Taian City Central Hospital of Qingdao University, Taian, Shandong, China.
Bao-Liang SunDepartment of Neurology, Second Affiliated Hospital, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, Shandong, China.
Jing-Yi SunShandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study investigated molecular drivers of AD-associated peripheral immune dysregulation to identify pathogenic genes and therapeutic targets for precision diagnosis and intervention. Methods: A large-scale GWAS meta-analysis (n = 894,710) was performed, followed by two-sample Mendelian randomization (MR) using multi-tissue cis-eQTL data to identify putative causal genes. Immune response differential genes (IRDGs) were defined from AD peripheral blood transcriptomes and the MSigDB database. A three-step summary-data-based MR framework integrating blood cis-eQTLs and cis-mQTLs was applied to prioritize causal genes and epigenetic regulatory elements. Findings were validated through colocalization analysis, PBMC scRNA-seq and blood-tissue TWAS. Multi-dimensional clinical validation was performed in the ADNI cohort encompassing gene expression, CSF biomarkers, cognitive measures, immune cell profiles, survival analysis, and plasma proteomics, with cross-cohort transcriptomic replication in AddNeuroMed. Results: Two-sample MR identified eight putative AD pathogenic genes. The three-step SMR and colocalization analysis prioritized five candidate causal genes, whose differential expression in immunocytes was confirmed by scRNA-seq and independently replicated. In the ADNI cohort, PTK2B expression was elevated in AD (ANOVA P = 0.0023), inversely correlated with MMSE (r = -0.164, P = 0.017), and predictive of MCI-to-AD conversion (Cox HR = 1.741, P = 0.050), with independent replication in AddNeuroMed (FDR P = 3.56 × 10 Conclusion: Integrating GWAS, multi-omics Mendelian randomization, single-cell transcriptomics, transcriptome-wide association study, and clinical cohort validation, this study identified peripheral immune causal genes for AD whose blood transcriptomic and epigenetic signatures track with CSF pathology, cognitive decline, and disease progression, supporting their translational potential for early diagnosis and therapeutic development.

Indexed as

Alzheimer DiseaseBiomarkersCohort StudiesFemaleGene Expression ProfilingGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMaleMendelian Randomization AnalysisMultiomicsProteomicsQuantitative Trait LociTranscriptomeBiomarkersAlzheimer’s diseasegenome-wide association studymulti-omics Mendelian randomizationperipheral immunitysingle-cell transcriptome sequencingtranscriptome-wide association studies

Identifiers

PMID42051535
PMCPMC13111265

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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.