Biosignatures for Parkinson's disease and atypical parkinsonian disorders patients.

Diagnosis of Parkinson' disease (PD) carries a high misdiagnosis rate due to failure to recognize atypical parkinsonian disorders (APD). Usually by the time of diagnosis greater than 60% of the neurons in the substantia nigra are dead. Therefore, early detection would be beneficial so that ther...

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Main Authors: Judith A Potashkin, Jose A Santiago, Bernard M Ravina, Arthur Watts, Alexey A Leontovich
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2012-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22952715/pdf/?tool=EBI
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spelling doaj-cea12965f5354884b9830decd12e6ed52021-03-03T20:27:41ZengPublic Library of Science (PLoS)PLoS ONE1932-62032012-01-0178e4359510.1371/journal.pone.0043595Biosignatures for Parkinson's disease and atypical parkinsonian disorders patients.Judith A PotashkinJose A SantiagoBernard M RavinaArthur WattsAlexey A LeontovichDiagnosis of Parkinson' disease (PD) carries a high misdiagnosis rate due to failure to recognize atypical parkinsonian disorders (APD). Usually by the time of diagnosis greater than 60% of the neurons in the substantia nigra are dead. Therefore, early detection would be beneficial so that therapeutic intervention may be initiated early in the disease process. We used splice variant-specific microarrays to identify mRNAs whose expression is altered in peripheral blood of early-stage PD patients compared to healthy and neurodegenerative disease controls. Quantitative polymerase chain reaction assays were used to validate splice variant transcripts in independent sample sets. Here we report a PD signature used to classify blinded samples with 90% sensitivity and 94% specificity and an APD signature that resulted in a diagnosis with 95% sensitivity and 94% specificity. This study provides the first discriminant functions with coherent diagnostic signatures for PD and APD. Analysis of the PD biomarkers identified a regulatory network with nodes centered on the transcription factors HNF4A and TNF, which have been implicated in insulin regulation.https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22952715/pdf/?tool=EBI
collection DOAJ
language English
format Article
sources DOAJ
author Judith A Potashkin
Jose A Santiago
Bernard M Ravina
Arthur Watts
Alexey A Leontovich
spellingShingle Judith A Potashkin
Jose A Santiago
Bernard M Ravina
Arthur Watts
Alexey A Leontovich
Biosignatures for Parkinson's disease and atypical parkinsonian disorders patients.
PLoS ONE
author_facet Judith A Potashkin
Jose A Santiago
Bernard M Ravina
Arthur Watts
Alexey A Leontovich
author_sort Judith A Potashkin
title Biosignatures for Parkinson's disease and atypical parkinsonian disorders patients.
title_short Biosignatures for Parkinson's disease and atypical parkinsonian disorders patients.
title_full Biosignatures for Parkinson's disease and atypical parkinsonian disorders patients.
title_fullStr Biosignatures for Parkinson's disease and atypical parkinsonian disorders patients.
title_full_unstemmed Biosignatures for Parkinson's disease and atypical parkinsonian disorders patients.
title_sort biosignatures for parkinson's disease and atypical parkinsonian disorders patients.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2012-01-01
description Diagnosis of Parkinson' disease (PD) carries a high misdiagnosis rate due to failure to recognize atypical parkinsonian disorders (APD). Usually by the time of diagnosis greater than 60% of the neurons in the substantia nigra are dead. Therefore, early detection would be beneficial so that therapeutic intervention may be initiated early in the disease process. We used splice variant-specific microarrays to identify mRNAs whose expression is altered in peripheral blood of early-stage PD patients compared to healthy and neurodegenerative disease controls. Quantitative polymerase chain reaction assays were used to validate splice variant transcripts in independent sample sets. Here we report a PD signature used to classify blinded samples with 90% sensitivity and 94% specificity and an APD signature that resulted in a diagnosis with 95% sensitivity and 94% specificity. This study provides the first discriminant functions with coherent diagnostic signatures for PD and APD. Analysis of the PD biomarkers identified a regulatory network with nodes centered on the transcription factors HNF4A and TNF, which have been implicated in insulin regulation.
url https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22952715/pdf/?tool=EBI
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