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A molecular signature in blood identifies early Parkinson's disease.
Mol Neurodegener. 2012 May 31; 7:26.MN

Abstract

BACKGROUND

The search for biomarkers in Parkinson's disease (PD) is crucial to identify the disease early and monitor the effectiveness of neuroprotective therapies. We aim to assess whether a gene signature could be detected in blood from early/mild PD patients that could support the diagnosis of early PD, focusing on genes found particularly altered in the substantia nigra of sporadic PD.

RESULTS

The transcriptional expression of seven selected genes was examined in blood samples from 62 early stage PD patients and 64 healthy age-matched controls. Stepwise multivariate logistic regression analysis identified five genes as optimal predictors of PD: p19 S-phase kinase-associated protein 1A (odds ratio [OR] 0.73; 95% confidence interval [CI] 0.60-0.90), huntingtin interacting protein-2 (OR 1.32; CI 1.08-1.61), aldehyde dehydrogenase family 1 subfamily A1 (OR 0.86; 95% CI 0.75-0.99), 19 S proteasomal protein PSMC4 (OR 0.73; 95% CI 0.60-0.89) and heat shock 70-kDa protein 8 (OR 1.39; 95% CI 1.14-1.70). At a 0.5 cut-off the gene panel yielded a sensitivity and specificity in detecting PD of 90.3 and 89.1 respectively and the area under the receiving operating curve (ROC AUC) was 0.96. The performance of the five-gene classifier on the de novo PD individuals alone composing the early PD cohort (n = 38), resulted in a similar ROC with an AUC of 0.95, indicating the stability of the model and also, that patient medication had no significant effect on the predictive probability (PP) of the classifier for PD risk. The predictive ability of the model was validated in an independent cohort of 30 patients at advanced stage of PD, classifying correctly all cases as PD (100% sensitivity). Notably, the nominal average value of the PP for PD (0.95 (SD = 0.09)) in this cohort was higher than that of the early PD group (0.83 (SD = 0.22)), suggesting a potential for the model to assess disease severity. Lastly, the gene panel fully discriminated between PD and Alzheimer's disease (n = 29).

CONCLUSIONS

The findings provide evidence on the ability of a five-gene panel to diagnose early/mild PD, with a possible diagnostic value for detection of asymptomatic PD before overt expression of the disorder.

Authors+Show Affiliations

Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.No affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

22651796

Citation

Molochnikov, Leonid, et al. "A Molecular Signature in Blood Identifies Early Parkinson's Disease." Molecular Neurodegeneration, vol. 7, 2012, p. 26.
Molochnikov L, Rabey JM, Dobronevsky E, et al. A molecular signature in blood identifies early Parkinson's disease. Mol Neurodegener. 2012;7:26.
Molochnikov, L., Rabey, J. M., Dobronevsky, E., Bonucelli, U., Ceravolo, R., Frosini, D., Grünblatt, E., Riederer, P., Jacob, C., Aharon-Peretz, J., Bashenko, Y., Youdim, M. B., & Mandel, S. A. (2012). A molecular signature in blood identifies early Parkinson's disease. Molecular Neurodegeneration, 7, 26. https://doi.org/10.1186/1750-1326-7-26
Molochnikov L, et al. A Molecular Signature in Blood Identifies Early Parkinson's Disease. Mol Neurodegener. 2012 May 31;7:26. PubMed PMID: 22651796.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - A molecular signature in blood identifies early Parkinson's disease. AU - Molochnikov,Leonid, AU - Rabey,Jose M, AU - Dobronevsky,Evgenya, AU - Bonucelli,Ubaldo, AU - Ceravolo,Roberto, AU - Frosini,Daniela, AU - Grünblatt,Edna, AU - Riederer,Peter, AU - Jacob,Christian, AU - Aharon-Peretz,Judith, AU - Bashenko,Yulia, AU - Youdim,Moussa B H, AU - Mandel,Silvia A, Y1 - 2012/05/31/ PY - 2012/02/23/received PY - 2012/05/31/accepted PY - 2012/6/2/entrez PY - 2012/6/2/pubmed PY - 2013/4/10/medline SP - 26 EP - 26 JF - Molecular neurodegeneration JO - Mol Neurodegener VL - 7 N2 - BACKGROUND: The search for biomarkers in Parkinson's disease (PD) is crucial to identify the disease early and monitor the effectiveness of neuroprotective therapies. We aim to assess whether a gene signature could be detected in blood from early/mild PD patients that could support the diagnosis of early PD, focusing on genes found particularly altered in the substantia nigra of sporadic PD. RESULTS: The transcriptional expression of seven selected genes was examined in blood samples from 62 early stage PD patients and 64 healthy age-matched controls. Stepwise multivariate logistic regression analysis identified five genes as optimal predictors of PD: p19 S-phase kinase-associated protein 1A (odds ratio [OR] 0.73; 95% confidence interval [CI] 0.60-0.90), huntingtin interacting protein-2 (OR 1.32; CI 1.08-1.61), aldehyde dehydrogenase family 1 subfamily A1 (OR 0.86; 95% CI 0.75-0.99), 19 S proteasomal protein PSMC4 (OR 0.73; 95% CI 0.60-0.89) and heat shock 70-kDa protein 8 (OR 1.39; 95% CI 1.14-1.70). At a 0.5 cut-off the gene panel yielded a sensitivity and specificity in detecting PD of 90.3 and 89.1 respectively and the area under the receiving operating curve (ROC AUC) was 0.96. The performance of the five-gene classifier on the de novo PD individuals alone composing the early PD cohort (n = 38), resulted in a similar ROC with an AUC of 0.95, indicating the stability of the model and also, that patient medication had no significant effect on the predictive probability (PP) of the classifier for PD risk. The predictive ability of the model was validated in an independent cohort of 30 patients at advanced stage of PD, classifying correctly all cases as PD (100% sensitivity). Notably, the nominal average value of the PP for PD (0.95 (SD = 0.09)) in this cohort was higher than that of the early PD group (0.83 (SD = 0.22)), suggesting a potential for the model to assess disease severity. Lastly, the gene panel fully discriminated between PD and Alzheimer's disease (n = 29). CONCLUSIONS: The findings provide evidence on the ability of a five-gene panel to diagnose early/mild PD, with a possible diagnostic value for detection of asymptomatic PD before overt expression of the disorder. SN - 1750-1326 UR - https://www.unboundmedicine.com/medline/citation/22651796/A_molecular_signature_in_blood_identifies_early_Parkinson's_disease_ L2 - https://molecularneurodegeneration.biomedcentral.com/articles/10.1186/1750-1326-7-26 DB - PRIME DP - Unbound Medicine ER -