Low-variance RNAs identify Parkinson's disease molecular signature in blood

The diagnosis of Parkinson's disease (PD) is usually not established until advanced neurodegeneration leads to clinically detectable symptoms. Previous blood PD transcriptome studies show low concordance, possibly resulting from the use of microarray technology, which has high measurement varia...

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Published inMovement disorders Vol. 30; no. 6; pp. 813 - 821
Main Authors Chikina, Maria D., Gerald, Christophe P., Li, Xianting, Ge, Yongchao, Pincas, Hanna, Nair, Venugopalan D., Wong, Aaron K., Krishnan, Arjun, Troyanskaya, Olga G., Raymond, Deborah, Saunders-Pullman, Rachel, Bressman, Susan B., Yue, Zhenyu, Sealfon, Stuart C.
Format Journal Article
LanguageEnglish
Published United States Blackwell Publishing Ltd 01.05.2015
Wiley Subscription Services, Inc
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Summary:The diagnosis of Parkinson's disease (PD) is usually not established until advanced neurodegeneration leads to clinically detectable symptoms. Previous blood PD transcriptome studies show low concordance, possibly resulting from the use of microarray technology, which has high measurement variation. The Leucine‐rich repeat kinase 2 (LRRK2) G2019S mutation predisposes to PD. Using preclinical and clinical studies, we sought to develop a novel statistically motivated transcriptomic‐based approach to identify a molecular signature in the blood of Ashkenazi Jewish PD patients, including LRRK2 mutation carriers. Using a digital gene expression platform to quantify 175 messenger RNA (mRNA) markers with low coefficients of variation (CV), we first compared whole‐blood transcript levels in mouse models (1) overexpressing wild‐type (WT) LRRK2, (2) overexpressing G2019S LRRK2, (3) lacking LRRK2 (knockout), and (4) and in WT controls. We then studied an Ashkenazi Jewish cohort of 34 symptomatic PD patients (both WT LRRK2 and G2019S LRRK2) and 32 asymptomatic controls. The expression profiles distinguished the four mouse groups with different genetic background. In patients, we detected significant differences in blood transcript levels both between individuals differing in LRRK2 genotype and between PD patients and controls. Discriminatory PD markers included genes associated with innate and adaptive immunity and inflammatory disease. Notably, gene expression patterns in levodopa‐treated PD patients were significantly closer to those of healthy controls in a dose‐dependent manner. We identify whole‐blood mRNA signatures correlating with LRRK2 genotype and with PD disease state. This approach may provide insight into pathogenesis and a route to early disease detection. © 2015 International Parkinson and Movement Disorder Society
Bibliography:National Institutes of Health - No. R01NS060809; No. R01NS072359
ArticleID:MDS26205
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Michael J. Fox Foundation
Full financial disclosures and author roles may be found in the online version of this article.
This work was supported by a grant from the Michael J. Fox Foundation (to S.C.S., Z.Y., and S.B.B.) and by National Institutes of Health grants R01NS060809 and R01NS072359 (to Z.Y.).
C.P.G. is the founder and owner of Transcription Diagnostics, Inc. S.B.B. has consulted for Bristol‐Myers Squibb. All other authors have nothing to report.
Relevant conflicts of interest/financial disclosures
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ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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ISSN:0885-3185
1531-8257
DOI:10.1002/mds.26205