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A molecular signature in blood identifies early Parkinson’s disease

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...

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Autores principales: Molochnikov, Leonid, Rabey, Jose M, Dobronevsky, Evgenya, Bonuccelli, Ubaldo, Ceravolo, Roberto, Frosini, Daniela, Grünblatt, Edna, Riederer, Peter, Jacob, Christian, Aharon-Peretz, Judith, Bashenko, Yulia, Youdim, Moussa BH, Mandel, Silvia A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3424147/
https://www.ncbi.nlm.nih.gov/pubmed/22651796
http://dx.doi.org/10.1186/1750-1326-7-26
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author Molochnikov, Leonid
Rabey, Jose M
Dobronevsky, Evgenya
Bonuccelli, Ubaldo
Ceravolo, Roberto
Frosini, Daniela
Grünblatt, Edna
Riederer, Peter
Jacob, Christian
Aharon-Peretz, Judith
Bashenko, Yulia
Youdim, Moussa BH
Mandel, Silvia A
author_facet Molochnikov, Leonid
Rabey, Jose M
Dobronevsky, Evgenya
Bonuccelli, Ubaldo
Ceravolo, Roberto
Frosini, Daniela
Grünblatt, Edna
Riederer, Peter
Jacob, Christian
Aharon-Peretz, Judith
Bashenko, Yulia
Youdim, Moussa BH
Mandel, Silvia A
author_sort Molochnikov, Leonid
collection PubMed
description 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.
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spelling pubmed-34241472012-08-22 A molecular signature in blood identifies early Parkinson’s disease Molochnikov, Leonid Rabey, Jose M Dobronevsky, Evgenya Bonuccelli, Ubaldo Ceravolo, Roberto Frosini, Daniela Grünblatt, Edna Riederer, Peter Jacob, Christian Aharon-Peretz, Judith Bashenko, Yulia Youdim, Moussa BH Mandel, Silvia A Mol Neurodegener Research Article 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. BioMed Central 2012-05-31 /pmc/articles/PMC3424147/ /pubmed/22651796 http://dx.doi.org/10.1186/1750-1326-7-26 Text en Copyright ©2012 Molochnikov et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Molochnikov, Leonid
Rabey, Jose M
Dobronevsky, Evgenya
Bonuccelli, Ubaldo
Ceravolo, Roberto
Frosini, Daniela
Grünblatt, Edna
Riederer, Peter
Jacob, Christian
Aharon-Peretz, Judith
Bashenko, Yulia
Youdim, Moussa BH
Mandel, Silvia A
A molecular signature in blood identifies early Parkinson’s disease
title A molecular signature in blood identifies early Parkinson’s disease
title_full A molecular signature in blood identifies early Parkinson’s disease
title_fullStr A molecular signature in blood identifies early Parkinson’s disease
title_full_unstemmed A molecular signature in blood identifies early Parkinson’s disease
title_short A molecular signature in blood identifies early Parkinson’s disease
title_sort molecular signature in blood identifies early parkinson’s disease
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3424147/
https://www.ncbi.nlm.nih.gov/pubmed/22651796
http://dx.doi.org/10.1186/1750-1326-7-26
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