Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2021 Sep;22(3):1010.
doi: 10.3892/etm.2021.10443. Epub 2021 Jul 15.

Current advances in metabolomic studies on non-motor psychiatric manifestations of Parkinson's disease (Review)

Affiliations
Review

Current advances in metabolomic studies on non-motor psychiatric manifestations of Parkinson's disease (Review)

Adela Magdalena Ciobanu et al. Exp Ther Med. 2021 Sep.

Abstract

Life expectancy has increased worldwide and, along with it, a greater prevalence of age-dependent disorders, chronic illnesses and comorbidities can be observed. In 2019, in both Europe and the Americas, dementias ranked 3rd among the top 10 causes of death. Parkinson's disease (PD) is the second most frequent type of neurodegenerative disease. In the last decades, globally, the number of people suffering from PD has more than doubled to over 6 million. Of all the neurological disorders, PD increased with the fastest rate. This troubling trend highlights the stringent need for accurate diagnostic biomarkers, especially in the early stages of the disease and to evaluate treatment response. To gain a broad and complex understanding of the recent advances in the '-omics' research fields, electronic databases such as PubMed, Google Academic, and Science Direct were searched for publications regarding metabolomic studies on PD to identify specific biomarkers for PD, and especially PD with associated psychiatric symptomatology. Discoveries in the fields of metagenomics, transcriptomics and proteomics, may lead to an improved comprehension of the metabolic pathways involved in disease etiology and progression and contribute to the discovery of novel therapeutic targets for effective treatment options.

Keywords: Parkinson's disease; anxiety; biomarker; cognitive decline; depression; metabolomics.

PubMed Disclaimer

Conflict of interest statement

The authors declare that they have no competing interests.

References

    1. Gelb DJ, Oliver E, Gilman S. Diagnostic criteria for Parkinson's disease. Arch Neurol. 1999;56:33–39. doi: 10.1001/archneur.56.1.33. - DOI - PubMed
    1. Havelund JF, Heegaard NHH, Færgeman NJK, Gramsbergen JB. Biomarker research in Parkinson's disease using metabolite profiling. Metabolites. 2017;7(42) doi: 10.3390/metabo7030042. - DOI - PMC - PubMed
    1. Dubbioso R, Manganelli F, Siebner HR, Di Lazzaro V. Fast intracortical sensory-motor integration: A window into the pathophysiology of Parkinson's disease. Front Hum Neurosci. 2019;13(111) doi: 10.3389/fnhum.2019.00111. - DOI - PMC - PubMed
    1. Emamzadeh FN, Surguchov A. Parkinson's disease: Biomarkers, treatment, and risk factors. Front Neurosci. 2018;12(612) doi: 10.3389/fnins.2018.00612. - DOI - PMC - PubMed
    1. Fearnley JM, Lees AJ. Aging and Parkinson's disease: Substantia nigra regional selectivity. Brain. 1991;114:2283–2301. doi: 10.1093/brain/114.5.2283. - DOI - PubMed