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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2012-01-01
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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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