Evidence map›Paper›PMID 41152257›Full record

ArticleNPJ Parkinson's disease2025

Synergistic blood-based diagnostic value of AP3B1 and BMPR2 in Parkinson's disease.

Xiyan Zhao, Li Yang, Yumin Luan, Tao Ding, Xinglong Yang, Xin Geng, Tuo Zhang, Jigang Pan, Ziwen Xiao, Wei Pan and 1 more

Abstract read
In one paragraph

Article in NPJ Parkinson's disease, 2025. 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

11 authors.

Xiyan Zhao *Guizhou Institute of Precision Medicine, The Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Li Yang *Guizhou Institute of Precision Medicine, The Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Yumin LuanDepartment of Rehabilitation, First Affiliated Hospital of Kunming Medical University, Kunming, China.
Tao DingDepartment of Rehabilitation, First Affiliated Hospital of Kunming Medical University, Kunming, China.
Xinglong YangDepartment of Neurology, First Affiliated Hospital of Kunming Medical University, Kunming, China.
Xin GengDepartment of Neurology, First Affiliated Hospital of Kunming Medical University, Kunming, China.
Tuo ZhangGuizhou Provincial Key Laboratory of Pathogenesis & Drug Research on Common Chronic Diseases, Guizhou Medical University, Guiyang, China.
Jigang PanGuizhou Provincial Key Laboratory of Pathogenesis & Drug Research on Common Chronic Diseases, Guizhou Medical University, Guiyang, China.
Ziwen XiaoGuizhou Institute of Precision Medicine, The Affiliated Hospital of Guizhou Medical University, Guiyang, China. xzwe@hotmail.com.
Wei PanGuizhou Institute of Precision Medicine, The Affiliated Hospital of Guizhou Medical University, Guiyang, China. 313831139@qq.com.
Tengxiang ChenGuizhou Institute of Precision Medicine, The Affiliated Hospital of Guizhou Medical University, Guiyang, China. txch@gmc.edu.cn.

Funding

Guizhou Provincial Science and Technology Department MS[2025]428the Affiliated Hospital of Guizhou Medical University GYFYNSFC-2022-16the Affiliated Hospital of Guizhou Medical University gyfyxkyc-2023-01
6 · The paper itself

Abstract

Reliable blood-based biomarkers for Parkinson's disease (PD) are needed for minimally invasive diagnosis. We identified a synergistic mRNA biomarker pair, AP3B1 and BMPR2, detectable in blood through an integrative multi-omics workflow. DEGs from a meta-analysis of PD versus healthy controls (HCs) were intersected with DEG-enriched pathway genes and analysed via three-step SMR to identify PD risk candidates, from which machine learning (SVM-RFE and random forest) prioritized AP3B1 and BMPR2. Knockdown of each gene in SH-SY5Y-derived neurons reproduced Parkinsonian phenotypes, with protein docking and co-immunoprecipitation suggesting a direct interaction. An XGBoost model built on PPMI blood RNA-seq (n = 2585) using 25 established PD biomarkers (baseline AUC ~ 0.595) improved to 0.745 with addition of both AP3B1 and BMPR2. qRT-PCR in a cohort of clinical blood samples confirmed their downregulation in PD. These findings support AP3B1 and BMPR2 as a synergistic biomarker pair with speculative biological relevance and possible translational potential.

Identifiers

PMID41152257
PMCPMC12569060

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.