Molecular markers of neuropsychological functioning and Alzheimer's disease

Melissa Edwards; Valerie Hobson Balldin; James Hall; Sid O'Bryant

doi:10.1016/j.dadm.2014.11.001

Molecular markers of neuropsychological functioning and Alzheimer's disease

Melissa Edwards, Valerie Hobson Balldin, James Hall, Sid O'Bryant

Research output: Contribution to journal › Article › peer-review

7 Scopus citations

Abstract

Background: The current project sought to examine molecular markers of neuropsychological functioning among elders with and without Alzheimer's disease (AD) and determine the predictive ability of combined molecular markers and select neuropsychological tests in detecting disease presence. Methods: Data were analyzed from 300 participants (n=150, AD and n=150, controls) enrolled in the Texas Alzheimer's Research and Care Consortium. Linear regression models were created to examine the link between the top five molecular markers from our AD blood profile and neuropsychological test scores. Logistical regressions were used to predict AD presence using serum biomarkers in combination with select neuropsychological measures. Results: Using the neuropsychological test with the least amount of variance overlap with the molecular markers, the combined neuropsychological testandmolecular markers was highly accurate in detecting AD presence. Conclusion: This work provides the foundation for the generation of a point-of-care device that can be used to screen for AD.

Original language	English
Pages (from-to)	61-66
Number of pages	6
Journal	Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring
Volume	1
Issue number	1
DOIs	https://doi.org/10.1016/j.dadm.2014.11.001
State	Published - 2015

Keywords

Alzheimer's disease
Biomarkers
Diagnosis
Verbal fluency

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10.1016/j.dadm.2014.11.001

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title = "Molecular markers of neuropsychological functioning and Alzheimer's disease",

abstract = "Background: The current project sought to examine molecular markers of neuropsychological functioning among elders with and without Alzheimer's disease (AD) and determine the predictive ability of combined molecular markers and select neuropsychological tests in detecting disease presence. Methods: Data were analyzed from 300 participants (n=150, AD and n=150, controls) enrolled in the Texas Alzheimer's Research and Care Consortium. Linear regression models were created to examine the link between the top five molecular markers from our AD blood profile and neuropsychological test scores. Logistical regressions were used to predict AD presence using serum biomarkers in combination with select neuropsychological measures. Results: Using the neuropsychological test with the least amount of variance overlap with the molecular markers, the combined neuropsychological testandmolecular markers was highly accurate in detecting AD presence. Conclusion: This work provides the foundation for the generation of a point-of-care device that can be used to screen for AD.",

keywords = "Alzheimer's disease, Biomarkers, Diagnosis, Verbal fluency",

author = "Melissa Edwards and Balldin, {Valerie Hobson} and James Hall and Sid O'Bryant",

note = "Funding Information: Sid E. O'Bryant has multiple patents pending, submitted by the University of North Texas Health Science Center wherein he is an inventor and receives research grants from the National Institutes of Health , National Institute on Aging , award numbers R01AG039389 and P30AG12300 . Melissa Edwards, James Hall, and Valerie Balldin report no conflict of interest. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. This research was also made possible by a grant from the Texas Council on Alzheimer's Disease and Related Disorders to the Texas Alzheimer's Research & Care Consortium. Publisher Copyright: {\textcopyright} 2015 Published by Elsevier Inc.",

year = "2015",

doi = "10.1016/j.dadm.2014.11.001",

language = "English",

volume = "1",

pages = "61--66",

journal = "Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring",

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AU - Edwards, Melissa

AU - Balldin, Valerie Hobson

AU - Hall, James

AU - O'Bryant, Sid

N1 - Funding Information: Sid E. O'Bryant has multiple patents pending, submitted by the University of North Texas Health Science Center wherein he is an inventor and receives research grants from the National Institutes of Health , National Institute on Aging , award numbers R01AG039389 and P30AG12300 . Melissa Edwards, James Hall, and Valerie Balldin report no conflict of interest. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. This research was also made possible by a grant from the Texas Council on Alzheimer's Disease and Related Disorders to the Texas Alzheimer's Research & Care Consortium. Publisher Copyright: © 2015 Published by Elsevier Inc.

PY - 2015

Y1 - 2015

N2 - Background: The current project sought to examine molecular markers of neuropsychological functioning among elders with and without Alzheimer's disease (AD) and determine the predictive ability of combined molecular markers and select neuropsychological tests in detecting disease presence. Methods: Data were analyzed from 300 participants (n=150, AD and n=150, controls) enrolled in the Texas Alzheimer's Research and Care Consortium. Linear regression models were created to examine the link between the top five molecular markers from our AD blood profile and neuropsychological test scores. Logistical regressions were used to predict AD presence using serum biomarkers in combination with select neuropsychological measures. Results: Using the neuropsychological test with the least amount of variance overlap with the molecular markers, the combined neuropsychological testandmolecular markers was highly accurate in detecting AD presence. Conclusion: This work provides the foundation for the generation of a point-of-care device that can be used to screen for AD.

AB - Background: The current project sought to examine molecular markers of neuropsychological functioning among elders with and without Alzheimer's disease (AD) and determine the predictive ability of combined molecular markers and select neuropsychological tests in detecting disease presence. Methods: Data were analyzed from 300 participants (n=150, AD and n=150, controls) enrolled in the Texas Alzheimer's Research and Care Consortium. Linear regression models were created to examine the link between the top five molecular markers from our AD blood profile and neuropsychological test scores. Logistical regressions were used to predict AD presence using serum biomarkers in combination with select neuropsychological measures. Results: Using the neuropsychological test with the least amount of variance overlap with the molecular markers, the combined neuropsychological testandmolecular markers was highly accurate in detecting AD presence. Conclusion: This work provides the foundation for the generation of a point-of-care device that can be used to screen for AD.

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Molecular markers of neuropsychological functioning and Alzheimer's disease

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