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ORIGINAL RESEARCH article

Front. Aging Neurosci.

Sec. Parkinson’s Disease and Aging-related Movement Disorders

Volume 17 - 2025 | doi: 10.3389/fnagi.2025.1511272

This article is part of the Research Topic Advancing personalized diagnosis and treatment in Parkinson's Disease: Integrating biomarkers, neuroimaging, and artificial intelligence View all 3 articles

Parkin characteristics and Blood biomarkers of Parkinson's disease in WPBLC study

Provisionally accepted
He HaiJun He HaiJun Xi Xiong Xi Xiong Yi Zheng Yi Zheng *Jialong Hou Jialong Hou Tao Jiang Tao Jiang *Weiwei Quan Weiwei Quan Jiani Huang Jiani Huang *Jiaxue Xu Jiaxue Xu *Keke Chen Keke Chen *Jingjing Qian Jingjing Qian *Jinlai Cai Jinlai Cai *Yao Lu Yao Lu *Mengjia Lian Mengjia Lian *Cheng-Long Xie Cheng-Long Xie Ji Luo Ji Luo *
  • First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China

The final, formatted version of the article will be published soon.

    The exact mechanisms of PD are unclear, but Parkin-mediated mitophagy dysfunction is believed to play a key role. We investigated whether blood levels of Parkin and other biomarkers are linked to the risk of developing PD.Methods: Baseline blood measures of Parkin and other biomarkers, including Homocysteine, carcinoembryonic antigen, Urea, total proteins, total cholesterol, creatine kinase, and albumin, were collected from 197 clinically diagnosed Parkinson's disease participants and 107 age-matched healthy controls in Wenzhou Parkinson's Biomarkers and Living Characteristics study. We conducted bioinformatics analysis using three datasets from the GEO database: GSE90514 (Cohort 1: PD=4, HC=4), GSE7621 (Cohort 2: PD=16, HC=9), and GSE205450 (Cohort 3: PD=69, HC=81).Results: Using a bioinformatic approach, we identified dysregulated biological processes in PD patients with PRKN mutations. Compared to controls, significant abnormalities were observed in blood levels of Parkin, Hcy, total proteins, urea, albumin, and CEA in PD patients. A model incorporating Parkin, Hcy, total proteins, and urea effectively distinguished PD from healthy controls, achieving a higher accuracy (AUC 0.841) than other biomarker combinations. Gene set enrichment analysis suggested that pathways such as PINK1-Parkin-mediated mitophagy, urea cycle, cysteine degradation, and riboflavin metabolism may be involved in PRKN mutation. Additionally, the link between Parkin and PD was partially mediated by CEA and albumin, not by Hcy, total proteins, or urea.Our findings indicate that blood Parkin levels may be a minimally invasive biomarker for PD diagnosis. The model, which included Parkin, Hcy, total proteins, and urea, effectively distinguished PD from HC with greater accuracy.

    Keywords: parkin, blood biomarkers, mitophagy, Parkinson's diseaseas, bioinformatics

    Received: 14 Oct 2024; Accepted: 13 Feb 2025.

    Copyright: © 2025 HaiJun, Xiong, Zheng, Hou, Jiang, Quan, Huang, Xu, Chen, Qian, Cai, Lu, Lian, Xie and Luo. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Yi Zheng, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
    Tao Jiang, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
    Jiani Huang, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
    Jiaxue Xu, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
    Keke Chen, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
    Jingjing Qian, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
    Jinlai Cai, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
    Yao Lu, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
    Mengjia Lian, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
    Ji Luo, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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