Evidence map›Paper›PMID 41197617›Full record

ArticleCell reports. Medicine2025

Age-(in)dependent altered molecular mechanisms in Parkinson's disease through extracellular vesicle proteome and lipidome.

Yu-Ting Zhang, Hao Zhang, Weichao Su, Weiguo Liu, Ya-Ting Chen, Hui-Ying Ren, Maoqin He, Yan-Xi Zhang, Yu-Ping Fan, Wei Liu and 11 more

Abstract read
In one paragraph

Article in Cell reports. Medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Article
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

21 authors.

Yu-Ting ZhangDepartment of Epidemiology & Biostatistics, School of Public Health, Southeast University, Nanjing 210009, China; Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, School of Public Health, Southeast University, Nanjing 210009, China.
Hao ZhangState Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210009, China; EVLiXiR Biotech Inc., Nanjing 220019, China.
Weichao SuXiamen Xianyue Hospital, Xianyue Hospital Affiliated with Xiamen Medical College, Fujian Psychiatric Center, Fujian Clinical Research Center for Mental Disorders, Fujian 361012, China.
Weiguo LiuDepartment of Neurology, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing 210029, China.
Ya-Ting ChenDepartment of Epidemiology & Biostatistics, School of Public Health, Southeast University, Nanjing 210009, China; Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, School of Public Health, Southeast University, Nanjing 210009, China.
Hui-Ying RenDepartment of Epidemiology & Biostatistics, School of Public Health, Southeast University, Nanjing 210009, China; Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, School of Public Health, Southeast University, Nanjing 210009, China.
Maoqin HeThe First School of Clinical Medicine, Southern Medical University, Guangzhou 510515, China.
Yan-Xi ZhangDepartment of Epidemiology & Biostatistics, School of Public Health, Southeast University, Nanjing 210009, China; Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, School of Public Health, Southeast University, Nanjing 210009, China.
Yu-Ping FanDepartment of Epidemiology & Biostatistics, School of Public Health, Southeast University, Nanjing 210009, China; Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, School of Public Health, Southeast University, Nanjing 210009, China.
Wei LiuDepartment of Epidemiology & Biostatistics, School of Public Health, Southeast University, Nanjing 210009, China; Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, School of Public Health, Southeast University, Nanjing 210009, China.
Meng-Han LiDepartment of Epidemiology & Biostatistics, School of Public Health, Southeast University, Nanjing 210009, China; Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, School of Public Health, Southeast University, Nanjing 210009, China.
Ya-Xin ShiDepartment of Epidemiology & Biostatistics, School of Public Health, Southeast University, Nanjing 210009, China; Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, School of Public Health, Southeast University, Nanjing 210009, China.
Qiu-Yi TangDepartment of General Surgery, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China.
Yi LiuDepartment of Neurology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210008, China.
Sheng-Hua ZongNeuroimmunology Group, KingMed Diagnostic Laboratory, Guangzhou 510000, China.
Anke WesseliusSchool of Nutrition and Translational Research in Metabolism, Maastricht University, 6229 ER Maastricht, the Netherlands.
Maurice P ZeegersDepartment of Epidemiology, CAPHRI Care and Public Health Research Institute, Maastricht University, 6229ER Maastricht, the Netherlands.
Yun XuDepartment of Neurology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210008, China; Department of Neurology, Nanjing Drum Tower Hospital, Clinical College of Nanjing Medical University, Nanjing 210008, China; State Key Laboratory of Pharmaceutical Biotechnology and Institute of Translational Medicine for Brain Critical Diseases, Nanjing University, Nanjing 210008, China; Jiangsu Key Laboratory for Molecular Medicine, Medical School of Nanjing University, Nanjing 210008, China; Nanjing Neurology Clinical Medical Center, Nanjing 210008, China.
Cheng-Xiao MaDepartment of Neurology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210008, China. Electronic address: mcx2617@163.com.
Yang ZhangDepartment of Neurology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210008, China. Electronic address: zxy419@163.com.
Evan Yi-Wen YuDepartment of Epidemiology & Biostatistics, School of Public Health, Southeast University, Nanjing 210009, China; Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, School of Public Health, Southeast University, Nanjing 210009, China; Department of Epidemiology, CAPHRI Care and Public Health Research Institute, Maastricht University, 6229ER Maastricht, the Netherlands. Electronic address: evan.yu@maastrichtuniversity.nl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Parkinson's disease (PD) remains insidious and clinically elusive at early stages due to the lack of precise, non-invasive biomarkers. Given their ability to cross the blood-brain barrier, extracellular vesicles (EVs) offer a promising platform for biomarker discovery in neurodegeneration. Using an affinity-based EV isolation method, we profile EV proteomes and lipidomes from plasma across life stages, followed by targeted validation via parallel reaction monitoring (PRM). We identify both age-independent and age-dependent EV biomarkers predictive of prodromal PD and capable of distinguishing PD from multiple system atrophy (MSA). Functional analyses reveal protein-lipid interactions contributing to PD pathophysiology, including lipid-mediated modulation of APOE signaling. Machine learning models integrating putative EV proteins achieve robust classification across age groups. Our findings demonstrate the diagnostic potential of EV-derived molecules for early PD detection and mechanistic insights, advancing a clinically applicable, non-invasive strategy for risk stratification and disease intervention.

Indexed as

AgingExtracellular VesiclesLipidomicsParkinson DiseaseProteomeAgedBiomarkersFemaleHumansMaleMiddle AgedBiomarkersProteomeearly and distinct detectionextracellular vesiclesmachine-learning-based diagnosisParkinson’s diseaseproteomics and lipidomics

Identifiers

PMID41197617
PMCPMC12711695

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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.