Literature DB >> 34826053

Review of Metabolomics-Based Biomarker Research for Parkinson's Disease.

Xin Li1, Xiaoying Fan1, Hongtian Yang1, Yufeng Liu2,3.   

Abstract

Parkinson's disease (PD), as the second most common neurodegenerative disease, is seriously affecting the life quality of the elderly. However, there is still a lack of efficient medical methods to diagnosis PD before apparent symptoms occur. In recent years, clinical biomarkers including genetic, imaging, and tissue markers have exhibited remarkable benefits in assisting PD diagnoses. Due to the advantages of high-throughput detection of metabolites and almost non-invasive sample collection, metabolomics research of PD is widely used for diagnostic biomarker discovery. However, there are also a few shortages for those identified biomarkers, such as the scarcity of verifications regarding the sensitivity and specificity. Thus, reviewing the research progress of PD biomarkers based on metabolomics techniques is of great significance for developing PD diagnosis. To comprehensively clarify the progress of current metabolic biomarker studies in PD, we reviewed 20 research articles regarding the discovery and validation of biomarkers for PD diagnosis from three mainstream academic databases (NIH PubMed, ISI Web of Science, and Elsevier ScienceDirect). By analyzing those materials, we summarized the metabolic biomarkers identified by those metabolomics studies and discussed the potential approaches used for biomarker verifications. In conclusion, this review provides a comprehensive and updated overview of PD metabolomics research in the past two decades and particularly discusses the validation of disease biomarkers. We hope those discussions might provide inspiration for PD biomarker discovery and verification in the future.
© 2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Biomarker discovery; Biomarker validation; Early diagnosis; Metabolomics; Parkinson’s disease; Therapeutic targets

Mesh:

Substances:

Year:  2021        PMID: 34826053     DOI: 10.1007/s12035-021-02657-7

Source DB:  PubMed          Journal:  Mol Neurobiol        ISSN: 0893-7648            Impact factor:   5.590


  102 in total

Review 1.  Clinical Neurology and Epidemiology of the Major Neurodegenerative Diseases.

Authors:  Michael G Erkkinen; Mee-Ohk Kim; Michael D Geschwind
Journal:  Cold Spring Harb Perspect Biol       Date:  2018-04-02       Impact factor: 10.005

2.  Neurodegenerative diseases.

Authors:  Marie-Thérèse Heemels
Journal:  Nature       Date:  2016-11-10       Impact factor: 49.962

Review 3.  Defects in trafficking bridge Parkinson's disease pathology and genetics.

Authors:  Asa Abeliovich; Aaron D Gitler
Journal:  Nature       Date:  2016-11-10       Impact factor: 49.962

4.  Status and perspectives of biomarker validation for diagnosis, stratification, and treatment.

Authors:  J Skov; K Kristiansen; J Jespersen; P Olesen
Journal:  Public Health       Date:  2020-12-09       Impact factor: 2.427

Review 5.  Decoding ALS: from genes to mechanism.

Authors:  J Paul Taylor; Robert H Brown; Don W Cleveland
Journal:  Nature       Date:  2016-11-10       Impact factor: 49.962

Review 6.  The road to restoring neural circuits for the treatment of Alzheimer's disease.

Authors:  Rebecca G Canter; Jay Penney; Li-Huei Tsai
Journal:  Nature       Date:  2016-11-10       Impact factor: 49.962

Review 7.  Ageing, neurodegeneration and brain rejuvenation.

Authors:  Tony Wyss-Coray
Journal:  Nature       Date:  2016-11-10       Impact factor: 49.962

Review 8.  Epidemiology of Parkinson's disease.

Authors:  Lonneke M L de Lau; Monique M B Breteler
Journal:  Lancet Neurol       Date:  2006-06       Impact factor: 44.182

9.  Neurodegenerative disease: models, mechanisms, and a new hope.

Authors:  Aaron D Gitler; Paraminder Dhillon; James Shorter
Journal:  Dis Model Mech       Date:  2017-05-01       Impact factor: 5.758

10.  Pathophysiology and Classification of Neurodegenerative Diseases.

Authors:  Maja Relja
Journal:  EJIFCC       Date:  2004-08-31
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  1 in total

1.  Metabolic Alterations in a Drosophila Model of Parkinson's Disease Based on DJ-1 Deficiency.

Authors:  Cristina Solana-Manrique; Francisco José Sanz; Isabel Torregrosa; Martina Palomino-Schätzlein; Carolina Hernández-Oliver; Antonio Pineda-Lucena; Nuria Paricio
Journal:  Cells       Date:  2022-01-20       Impact factor: 6.600

  1 in total

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