4.6 Review

Advances in Proteomic and Metabolomic Profiling of Neurodegenerative Diseases

期刊

FRONTIERS IN NEUROLOGY
卷 12, 期 -, 页码 -

出版社

FRONTIERS MEDIA SA
DOI: 10.3389/fneur.2021.792227

关键词

proteomics; metabolomics; Alzheimer's disease; AD; Parkinson's disease; PD; amyotrophic lateral sclerosis; ALS

资金

  1. Intramural Research Program of the National Institutes of Health (National Institute on Aging
  2. National Institute of Neurological Disorders and Stroke: project numbers [1ZIA-NS003154, Z01-AG000949-02, Z01-ES10198]

向作者/读者索取更多资源

Proteomics and metabolomics are promising fields for studying the molecular mechanisms of neurodegenerative diseases. This review provides an overview of the current status of proteomic and metabolomic profiling in neurodegenerative diseases, with a focus on Alzheimer's disease, Parkinson's disease, and amyotrophic lateral sclerosis. The potential of these approaches for biomarker discovery and therapeutic development is discussed, along with the challenges and limitations in the field.
Proteomics and metabolomics are two emerging fields that hold promise to shine light on the molecular mechanisms causing neurodegenerative diseases. Research in this area may reveal and quantify specific metabolites and proteins that can be targeted by therapeutic interventions intended at halting or reversing the neurodegenerative process. This review aims at providing a general overview on the current status of proteomic and metabolomic profiling in neurodegenerative diseases. We focus on the most common neurodegenerative disorders, including Alzheimer's disease, Parkinson's disease, and amyotrophic lateral sclerosis. We discuss the relevance of state-of-the-art metabolomics and proteomics approaches and their potential for biomarker discovery. We critically review advancements made so far, highlighting how metabolomics and proteomics may have a significant impact in future therapeutic and biomarker development. Finally, we further outline technologies used so far as well as challenges and limitations, placing the current information in a future-facing context.

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