Literature DB >> 29475591

Cerebrospinal fluid biomarkers of central dopamine deficiency predict Parkinson's disease.

David S Goldstein1, Courtney Holmes2, Grisel J Lopez3, Tianxia Wu4, Yehonatan Sharabi5.   

Abstract

BACKGROUND: Consistent with nigrostriatal dopamine depletion, low cerebrospinal fluid (CSF) concentrations of 3,4-dihydroxyphenylacetic acid (DOPAC), the main neuronal metabolite of dopamine, characterize Parkinson's disease (PD) even in recently diagnosed patients. Whether low CSF levels of DOPAC or DOPA, the precursor of dopamine, identify pre-clinical PD in at-risk healthy individuals has been unknown.
METHODS: Participants in the intramural NINDS PDRisk study entered information about family history of PD, olfactory dysfunction, dream enactment behavior, and orthostatic hypotension at a protocol-specific website. After at least 3 risk factors were confirmed by on-site screening, 26 subjects had CSF sampled for levels of catechols and were followed for at least 3 years.
RESULTS: Of 26 PDRisk subjects, 4 were diagnosed with PD (Pre-Clinical PD group); 22 risk-matched (mean 3.2 risk factors) subjects remained disease-free after a median of 3.7 years (No-PD group). The Pre-Clinical PD group had lower initial DOPA and DOPAC levels than did the No-PD group (p = 0.0302, p = 0.0190). All 3 subjects with both low DOPA (<2.63 pmol/mL) and low DOPAC (<1.22 pmol/mL) levels, based on optimum cut-off points using the minimum distance method, developed PD, whereas none of 14 subjects with both normal DOPA and DOPAC levels did so (75% sensitivity at 100% specificity, p = 0.0015 by 2-tailed Fisher's exact test).
CONCLUSIONS: In people with multiple PD risk factors, those with low CSF DOPA and low CSF DOPAC levels develop clinical disease during follow-up. We suggest that neurochemical biomarkers of central dopamine deficiency identify the disease in a pre-clinical phase. Published by Elsevier Ltd.

Entities:  

Keywords:  Biomarkers; Catecholamines; DOPA; DOPAC; Parkinson's disease

Mesh:

Substances:

Year:  2018        PMID: 29475591      PMCID: PMC6319386          DOI: 10.1016/j.parkreldis.2018.02.023

Source DB:  PubMed          Journal:  Parkinsonism Relat Disord        ISSN: 1353-8020            Impact factor:   4.891


  10 in total

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