Low‐variance RNAs identify Parkinson's disease molecular signature in blood. Issue 6 (18th March 2015)
- Record Type:
- Journal Article
- Title:
- Low‐variance RNAs identify Parkinson's disease molecular signature in blood. Issue 6 (18th March 2015)
- Main Title:
- Low‐variance RNAs identify Parkinson's disease molecular signature in blood
- 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. - Abstract:
- <abstract abstract-type="main"> <title>Abstract</title> <p>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 (<italic>LRRK2</italic>) 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 <italic>LRRK2</italic> 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) <italic>LRRK2</italic>, (2) overexpressing G2019S <italic>LRRK2</italic>, (3) lacking <italic>LRRK2</italic> (knockout), and (4) and in WT controls. We then studied an Ashkenazi Jewish cohort of 34 symptomatic PD patients (both WT <italic>LRRK2</italic> and G2019S <italic>LRRK2</italic>) 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 <italic>LRRK2</italic> genotype and<abstract abstract-type="main"> <title>Abstract</title> <p>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 (<italic>LRRK2</italic>) 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 <italic>LRRK2</italic> 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) <italic>LRRK2</italic>, (2) overexpressing G2019S <italic>LRRK2</italic>, (3) lacking <italic>LRRK2</italic> (knockout), and (4) and in WT controls. We then studied an Ashkenazi Jewish cohort of 34 symptomatic PD patients (both WT <italic>LRRK2</italic> and G2019S <italic>LRRK2</italic>) 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 <italic>LRRK2</italic> 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 <italic>LRRK2</italic> 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</p> </abstract> … (more)
- Is Part Of:
- Movement disorders. Volume 30:Issue 6(2015)
- Journal:
- Movement disorders
- Issue:
- Volume 30:Issue 6(2015)
- Issue Display:
- Volume 30, Issue 6 (2015)
- Year:
- 2015
- Volume:
- 30
- Issue:
- 6
- Issue Sort Value:
- 2015-0030-0006-0000
- Page Start:
- 813
- Page End:
- 821
- Publication Date:
- 2015-03-18
- Subjects:
- Movement disorders -- Periodicals
610 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1531-8257 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/mds.26205 ↗
- Languages:
- English
- ISSNs:
- 0885-3185
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5980.317200
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 3674.xml