Identifying postmenopausal women at risk for cognitive decline within a healthy cohort using a panel of clinical metabolic indicators: potential for detecting an at-Alzheimer's risk metabolic phenotype

Detecting at-risk individuals within a healthy population is critical for preventing or delaying Alzheimer's disease. Systems biology integration of brain and body metabolism enables peripheral metabolic biomarkers to serve as reporters of brain bioenergetic status. Using clinical metabolic dat...

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Bibliographic Details
Published in:	Neurobiology of aging Vol. 40; pp. 155 - 163
Main Authors:	Rettberg, Jamaica R., Dang, Ha, Hodis, Howard N., Henderson, Victor W., St. John, Jan A., Mack, Wendy J., Brinton, Roberta Diaz
Format:	Journal Article
Language:	English
Published:	United States Elsevier Inc 01.04.2016
Subjects:	Aged Alzheimer Disease - diagnosis Alzheimer Disease - metabolism Alzheimer Disease - prevention & control Alzheimer Disease - psychology Alzheimer's disease Biomarker Biomarkers Cognition Cognitive aging Cognitive Dysfunction - diagnosis Cognitive Dysfunction - metabolism Cognitive Dysfunction - prevention & control Cognitive Dysfunction - psychology Cohort Studies Estradiol - therapeutic use Executive Function Female Hormone therapy Humans Internal Medicine Memory Menopause Metabolism Middle Aged Neurology Phenotype Postmenopause Randomized Controlled Trials as Topic Risk Biomarker Cognitive aging Hormone therapy Metabolism Alzheimer's disease Menopause
ISSN:	0197-4580, 1558-1497, 1558-1497
Online Access:	Get full text
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