Abstract
Introduction: We sought to determine if our previously validated proteomic profile for detecting Alzheimer's disease would detect Parkinson's disease (PD) and distinguish PD from other neurodegenerative diseases. Methods: Plasma samples were assayed from 150 patients of the Harvard Biomarkers Study (PD, n = 50; other neurodegenerative diseases, n = 50; healthy controls, n = 50) using electrochemiluminescence and Simoa platforms. Results: The first step proteomic profile distinguished neurodegenerative diseases from controls with a diagnostic accuracy of 0.94. The second step profile distinguished PD cases from other neurodegenerative diseases with a diagnostic accuracy of 0.98. The proteomic profile differed in step 1 versus step 2, suggesting that a multistep proteomic profile algorithm to detecting and distinguishing between neurodegenerative diseases may be optimal. Discussion: These data provide evidence of the potential use of a multitiered blood-based proteomic screening method for detecting individuals with neurodegenerative disease and then distinguishing PD from other neurodegenerative diseases.
| Original language | English |
|---|---|
| Pages (from-to) | 374-382 |
| Number of pages | 9 |
| Journal | Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring |
| Volume | 11 |
| DOIs | |
| State | Published - 1 Dec 2019 |
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Keywords
- Blood biomarkers
- Diagnostic accuracy
- Parkinson's disease
- Precision medicine
- Proteomics
Cite this
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Potential two-step proteomic signature for Parkinson's disease : Pilot analysis in the Harvard Biomarkers Study. / O'Bryant, Sidney; Edwards, Melissa; Zhang, Fan; Johnson, Leigh A.; Hall, James; Kuras, Yuliya; Scherzer, Clemens R.
In: Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring, Vol. 11, 01.12.2019, p. 374-382.Research output: Contribution to journal › Article
TY - JOUR
T1 - Potential two-step proteomic signature for Parkinson's disease
T2 - Pilot analysis in the Harvard Biomarkers Study
AU - O'Bryant, Sidney
AU - Edwards, Melissa
AU - Zhang, Fan
AU - Johnson, Leigh A.
AU - Hall, James
AU - Kuras, Yuliya
AU - Scherzer, Clemens R.
PY - 2019/12/1
Y1 - 2019/12/1
N2 - Introduction: We sought to determine if our previously validated proteomic profile for detecting Alzheimer's disease would detect Parkinson's disease (PD) and distinguish PD from other neurodegenerative diseases. Methods: Plasma samples were assayed from 150 patients of the Harvard Biomarkers Study (PD, n = 50; other neurodegenerative diseases, n = 50; healthy controls, n = 50) using electrochemiluminescence and Simoa platforms. Results: The first step proteomic profile distinguished neurodegenerative diseases from controls with a diagnostic accuracy of 0.94. The second step profile distinguished PD cases from other neurodegenerative diseases with a diagnostic accuracy of 0.98. The proteomic profile differed in step 1 versus step 2, suggesting that a multistep proteomic profile algorithm to detecting and distinguishing between neurodegenerative diseases may be optimal. Discussion: These data provide evidence of the potential use of a multitiered blood-based proteomic screening method for detecting individuals with neurodegenerative disease and then distinguishing PD from other neurodegenerative diseases.
AB - Introduction: We sought to determine if our previously validated proteomic profile for detecting Alzheimer's disease would detect Parkinson's disease (PD) and distinguish PD from other neurodegenerative diseases. Methods: Plasma samples were assayed from 150 patients of the Harvard Biomarkers Study (PD, n = 50; other neurodegenerative diseases, n = 50; healthy controls, n = 50) using electrochemiluminescence and Simoa platforms. Results: The first step proteomic profile distinguished neurodegenerative diseases from controls with a diagnostic accuracy of 0.94. The second step profile distinguished PD cases from other neurodegenerative diseases with a diagnostic accuracy of 0.98. The proteomic profile differed in step 1 versus step 2, suggesting that a multistep proteomic profile algorithm to detecting and distinguishing between neurodegenerative diseases may be optimal. Discussion: These data provide evidence of the potential use of a multitiered blood-based proteomic screening method for detecting individuals with neurodegenerative disease and then distinguishing PD from other neurodegenerative diseases.
KW - Blood biomarkers
KW - Diagnostic accuracy
KW - Parkinson's disease
KW - Precision medicine
KW - Proteomics
UR - http://www.scopus.com/inward/record.url?scp=85065074000&partnerID=8YFLogxK
U2 - 10.1016/j.dadm.2019.03.001
DO - 10.1016/j.dadm.2019.03.001
M3 - Article
AN - SCOPUS:85065074000
VL - 11
SP - 374
EP - 382
JO - Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring
JF - Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring
SN - 2352-8729
ER -