Literature DB >> 30949837

Biomarkers of Parkinson's disease: 20 years later.

Rezzak Yilmaz1, Franziska Hopfner1,2, Thilo van Eimeren3,4,5, Daniela Berg6,7.   

Abstract

Despite intensive effort, biomarker research for the detection of prodromal stage, diagnosis and progression of Parkinson's disease (PD) falls short of expectations. This article reviews the attempts in the last 20 years to find a biomarker, addresses challenges along the biomarker search and suggests the steps that should be taken to overcome these challenges. Although several biomarkers are currently available, none of them is specific enough for diagnosis, prediction of future PD or disease progression. The main reason for the failure finding a strong biomarker seems to be drastic heterogeneity of PD, which exhibits itself in all domains; from the clinic to pathophysiology or genetics. The diversity in patient selection, assessment methods or outcomes in biomarker studies also limit the interpretation and generalizability of the data. In search of a reliable biomarker, consideration of novel approaches encompassing individual demographic, clinical, genetic, epigenetic and environmental differences, employment of strategies enabling marker combinations, designing multicenter studies with compatible assessment methods, integration of data from preclinical domains and utilization of novel technology-based assessments are necessary.

Entities:  

Keywords:  Biomarker; Parkinson’s disease; Prodromal Parkinson’s disease

Year:  2019        PMID: 30949837     DOI: 10.1007/s00702-019-02001-3

Source DB:  PubMed          Journal:  J Neural Transm (Vienna)        ISSN: 0300-9564            Impact factor:   3.575


  78 in total

Review 1.  Biomarkers and surrogate endpoints: preferred definitions and conceptual framework.

Authors: 
Journal:  Clin Pharmacol Ther       Date:  2001-03       Impact factor: 6.875

2.  Staging of brain pathology related to sporadic Parkinson's disease.

Authors:  Heiko Braak; Kelly Del Tredici; Udo Rüb; Rob A I de Vos; Ernst N H Jansen Steur; Eva Braak
Journal:  Neurobiol Aging       Date:  2003 Mar-Apr       Impact factor: 4.673

3.  CSF amyloid {beta} 1-42 predicts cognitive decline in Parkinson disease.

Authors:  A Siderowf; S X Xie; H Hurtig; D Weintraub; J Duda; A Chen-Plotkin; L M Shaw; V Van Deerlin; J Q Trojanowski; C Clark
Journal:  Neurology       Date:  2010-08-18       Impact factor: 9.910

Review 4.  Mapping preclinical compensation in Parkinson's disease: an imaging genomics approach.

Authors:  Bart F L van Nuenen; Thilo van Eimeren; Joyce P M van der Vegt; Carsten Buhmann; Christine Klein; Bastiaan R Bloem; Hartwig R Siebner
Journal:  Mov Disord       Date:  2009       Impact factor: 10.338

Review 5.  Predicting motor decline and disability in Parkinson disease: a systematic review.

Authors:  Connie Marras; Paula Rochon; Anthony E Lang
Journal:  Arch Neurol       Date:  2002-11

6.  Detection of elevated levels of α-synuclein oligomers in CSF from patients with Parkinson disease.

Authors:  T Tokuda; M M Qureshi; M T Ardah; S Varghese; S A S Shehab; T Kasai; N Ishigami; A Tamaoka; M Nakagawa; O M A El-Agnaf
Journal:  Neurology       Date:  2010-10-20       Impact factor: 9.910

7.  DJ-1 and alpha-synuclein in human cerebrospinal fluid as biomarkers of Parkinson's disease.

Authors:  Zhen Hong; Min Shi; Kathryn A Chung; Joseph F Quinn; Elaine R Peskind; Douglas Galasko; Joseph Jankovic; Cyrus P Zabetian; James B Leverenz; Geoffrey Baird; Thomas J Montine; Aneeka M Hancock; Hyejin Hwang; Catherine Pan; Joshua Bradner; Un J Kang; Poul H Jensen; Jing Zhang
Journal:  Brain       Date:  2010-02-15       Impact factor: 13.501

8.  Association between CSF biomarkers and incipient Alzheimer's disease in patients with mild cognitive impairment: a follow-up study.

Authors:  Oskar Hansson; Henrik Zetterberg; Peder Buchhave; Elisabet Londos; Kaj Blennow; Lennart Minthon
Journal:  Lancet Neurol       Date:  2006-03       Impact factor: 44.182

9.  Biomarkers to detect central dopamine deficiency and distinguish Parkinson disease from multiple system atrophy.

Authors:  David S Goldstein; Courtney Holmes; Oladi Bentho; Takuya Sato; Jeffrey Moak; Yehonatan Sharabi; Richard Imrich; Shielah Conant; Basil A Eldadah
Journal:  Parkinsonism Relat Disord       Date:  2008-03-05       Impact factor: 4.891

10.  Heterogeneity of Parkinson's disease in the early clinical stages using a data driven approach.

Authors:  S J G Lewis; T Foltynie; A D Blackwell; T W Robbins; A M Owen; R A Barker
Journal:  J Neurol Neurosurg Psychiatry       Date:  2005-03       Impact factor: 10.154

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  5 in total

1.  Advanced-Stage Parkinson's Disease: From Identification to Characterization Using a Nationwide Database.

Authors:  Yael Barer; Tanya Gurevich; Gabriel Chodick; Nir Giladi; Ruth Gross; Raanan Cohen; Lars Bergmann; Yash J Jalundhwala; Varda Shalev; Meital Grabarnik-John; Avner Thaler
Journal:  Mov Disord Clin Pract       Date:  2022-04-29

2.  Probing the Pre-diagnostic Phase of Parkinson's Disease in Population-Based Studies.

Authors:  Lisanne J Dommershuijsen; Agnita J W Boon; M Kamran Ikram
Journal:  Front Neurol       Date:  2021-07-01       Impact factor: 4.003

Review 3.  Perspective: Current Pitfalls in the Search for Future Treatments and Prevention of Parkinson's Disease.

Authors:  Peter C Poortvliet; Karen O'Maley; Peter A Silburn; George D Mellick
Journal:  Front Neurol       Date:  2020-07-08       Impact factor: 4.003

Review 4.  Parkinson's Disease Subtyping Using Clinical Features and Biomarkers: Literature Review and Preliminary Study of Subtype Clustering.

Authors:  Seung Hyun Lee; Sang-Min Park; Sang Seok Yeo; Ojin Kwon; Mi-Kyung Lee; Horyong Yoo; Eun Kyoung Ahn; Jae Young Jang; Jung-Hee Jang
Journal:  Diagnostics (Basel)       Date:  2022-01-04

5.  MicroRNA-101 Regulates 6-Hydroxydopamine-Induced Cell Death by Targeting Suppressor/Enhancer Lin-12-Like in SH-SY5Y Cells.

Authors:  Tomohiro Omura; Luna Nomura; Ran Watanabe; Hiroki Nishiguchi; Kazuhiro Yamamoto; Satoshi Imai; Shunsaku Nakagawa; Kotaro Itohara; Atsushi Yonezawa; Takayuki Nakagawa; Junichi Kunimasa; Ikuko Yano; Kazuo Matsubara
Journal:  Front Mol Neurosci       Date:  2021-12-09       Impact factor: 5.639

  5 in total

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