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Identification of BAG2 and Cathepsin D as Plasma Biomarkers for Parkinson’s Disease

The current diagnosis of Parkinson’s disease (PD) mostly relies on clinical rating scales related to motor dysfunction. Given that clinical symptoms of PD appear after significant neuronal cell death in the brain, it is required to identify accessible, objective, and quantifiable biomarkers for earl...

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Autores principales: Kang, Juhee, Kim, Jae Whan, Heo, Hansol, Lee, Jihyun, Park, Kwan Yong, Yoon, Jung Han, Chang, Jaerak
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7993325/
https://www.ncbi.nlm.nih.gov/pubmed/33202088
http://dx.doi.org/10.1111/cts.12920
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author Kang, Juhee
Kim, Jae Whan
Heo, Hansol
Lee, Jihyun
Park, Kwan Yong
Yoon, Jung Han
Chang, Jaerak
author_facet Kang, Juhee
Kim, Jae Whan
Heo, Hansol
Lee, Jihyun
Park, Kwan Yong
Yoon, Jung Han
Chang, Jaerak
author_sort Kang, Juhee
collection PubMed
description The current diagnosis of Parkinson’s disease (PD) mostly relies on clinical rating scales related to motor dysfunction. Given that clinical symptoms of PD appear after significant neuronal cell death in the brain, it is required to identify accessible, objective, and quantifiable biomarkers for early diagnosis of PD. In this study, a total of 20 patients with idiopathic PD and 20 age‐matched patients with essential tremor according to the UK Brain Bank Criteria were consecutively enrolled to identify peripheral blood biomarkers for PD. Clinical data were obtained by clinical survey and assessment. Using albumin‐depleted and immunoglobulin G‐depleted plasma samples, we performed immunoblot analysis of seven autophagy‐related proteins and compared the levels of proteins to those of the control group. We also analyzed the correlation between the levels of candidate proteins and clinical characteristics. Finally, we validated our biomarker models using receiver operating characteristic curve analysis. We found that the levels of BCL2‐associated athanogene 2 (BAG2) and cathepsin D were significantly decreased in plasma of patients with PD (P = 0.009 and P = 0.0077, respectively). The level of BAG2 in patients with PD was significantly correlated with Cross‐Culture Smell Identification Test score, which indicates olfactory dysfunction. We found that our biomarker model distinguishes PD with 87.5% diagnostic accuracy (area under the curve (AUC) = 0.875, P < 0.0001). Our result suggests BAG2 and cathepsin D as candidates for early‐diagnosis plasma biomarkers for PD. We provide the possibility of plasma biomarkers related to the autophagy pathway, by which decreased levels of BAG2 and cathepsin D might lead to dysfunction of autophagy.
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spelling pubmed-79933252021-03-29 Identification of BAG2 and Cathepsin D as Plasma Biomarkers for Parkinson’s Disease Kang, Juhee Kim, Jae Whan Heo, Hansol Lee, Jihyun Park, Kwan Yong Yoon, Jung Han Chang, Jaerak Clin Transl Sci Research The current diagnosis of Parkinson’s disease (PD) mostly relies on clinical rating scales related to motor dysfunction. Given that clinical symptoms of PD appear after significant neuronal cell death in the brain, it is required to identify accessible, objective, and quantifiable biomarkers for early diagnosis of PD. In this study, a total of 20 patients with idiopathic PD and 20 age‐matched patients with essential tremor according to the UK Brain Bank Criteria were consecutively enrolled to identify peripheral blood biomarkers for PD. Clinical data were obtained by clinical survey and assessment. Using albumin‐depleted and immunoglobulin G‐depleted plasma samples, we performed immunoblot analysis of seven autophagy‐related proteins and compared the levels of proteins to those of the control group. We also analyzed the correlation between the levels of candidate proteins and clinical characteristics. Finally, we validated our biomarker models using receiver operating characteristic curve analysis. We found that the levels of BCL2‐associated athanogene 2 (BAG2) and cathepsin D were significantly decreased in plasma of patients with PD (P = 0.009 and P = 0.0077, respectively). The level of BAG2 in patients with PD was significantly correlated with Cross‐Culture Smell Identification Test score, which indicates olfactory dysfunction. We found that our biomarker model distinguishes PD with 87.5% diagnostic accuracy (area under the curve (AUC) = 0.875, P < 0.0001). Our result suggests BAG2 and cathepsin D as candidates for early‐diagnosis plasma biomarkers for PD. We provide the possibility of plasma biomarkers related to the autophagy pathway, by which decreased levels of BAG2 and cathepsin D might lead to dysfunction of autophagy. John Wiley and Sons Inc. 2020-11-22 2021-03 /pmc/articles/PMC7993325/ /pubmed/33202088 http://dx.doi.org/10.1111/cts.12920 Text en © 2020 The Authors. Clinical and Translational Science published by Wiley Periodicals LLC on behalf of the American Society for Clinical Pharmacology and Therapeutics. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Research
Kang, Juhee
Kim, Jae Whan
Heo, Hansol
Lee, Jihyun
Park, Kwan Yong
Yoon, Jung Han
Chang, Jaerak
Identification of BAG2 and Cathepsin D as Plasma Biomarkers for Parkinson’s Disease
title Identification of BAG2 and Cathepsin D as Plasma Biomarkers for Parkinson’s Disease
title_full Identification of BAG2 and Cathepsin D as Plasma Biomarkers for Parkinson’s Disease
title_fullStr Identification of BAG2 and Cathepsin D as Plasma Biomarkers for Parkinson’s Disease
title_full_unstemmed Identification of BAG2 and Cathepsin D as Plasma Biomarkers for Parkinson’s Disease
title_short Identification of BAG2 and Cathepsin D as Plasma Biomarkers for Parkinson’s Disease
title_sort identification of bag2 and cathepsin d as plasma biomarkers for parkinson’s disease
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7993325/
https://www.ncbi.nlm.nih.gov/pubmed/33202088
http://dx.doi.org/10.1111/cts.12920
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