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Endoplasmic reticulum stress‑regulated chaperones as a serum biomarker panel for Parkinson’s disease

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posted on 2023-03-10, 14:07 authored by Katarzyna Mnich, Shirin MoghaddamShirin Moghaddam, Patrick Browne, Timothy Counihan, Stephen P. Fitzgerald, Kenneth Martin, Ciaran Richardson, Afshin Samali, Adrienne M. Gorman

Examination of post-mortem brain tissues has previously revealed a strong association between Parkinson’s disease (PD) pathophysiology and endoplasmic reticulum (ER) stress. Evidence in the literature regarding the circulation of ER stress-regulated factors released from neurons provides a rationale for investigating ER stress biomarkers in the blood to aid diagnosis of PD. The levels of ER stress-regulated proteins in serum collected from 29 PD patients and 24 non-PD controls were measured using enzyme-linked immunosorbent assays. A panel of four biomarkers, protein disulfde-isomerase A1, protein disulfde-isomerase A3, mesencephalic astrocyte-derived neurotrophic factor, and clusterin, together with age and gender had higher ability (area under the curve 0.64, sensitivity 66%, specifcity 57%) and net beneft to discriminate PD patients from the non-PD group compared with other analyzed models. Addition of oligomeric and total α-synuclein to the model did not improve the diagnostic power of the biomarker panel. We provide evidence that ER stress-regulated proteins merit further investigation for their potential as diagnostic biomarkers of PD.

Funding

Precision Oncology Ireland

Science Foundation Ireland

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Targeting IRE1 in disease

European Commission

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Career Development and Mobility Fellowships in Medical Device Research and Development: A CÚRAM Industry-Academia Training Initiative.

European Commission

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Endoplasmic Reticulum Stress in Health and Disease

European Commission

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History

Publication

Molecular Neurobiology, 60, 1476–1485

Publisher

Springer

Other Funding information

This publication has emanated from research conducted with the fnancial support of Enterprise Ireland Innovation Partnership Programme (IP 2016 0480), Precision Oncology Ireland, which is part-funded by the Science Foundation Ireland (SFI) Strategic Partnership Programme (18/SPP/3522), EU H2020 MSCA RISE-734749 (INSPIRED), (H2020-MSCA-IF-2016), Medtrain (MSCA COFUND-713690), EU H2020 MSCA ITN-675448 (TRAINERS)

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  • MACSI - Mathematics Application Consortium for Science & Industry

Department or School

  • Mathematics & Statistics

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    University of Limerick

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