Dataset Information

A panel of blood lipids associated with cognitive performance, brain atrophy, and Alzheimer's diagnosis: A longitudinal study of elders without dementia.

ABSTRACT:

Introduction

We sought lipid-metabolic biomarkers involved in the processes underlying cognitive decline and detected them in association with Alzheimer's disease (AD) phenotypes.

Methods

A least absolute shrinkage and selection operator logistic regression model was used to select lipids that best classified cognitive decline defined by a fast-annual rate of cognition. Lipid summary scores were constructed as predictors of cognitive decline by using this model. Multivariable-adjusted models tested the associations of risk score with AD phenotypes.

Results

A model incorporating 17 selected lipids showed good discrimination and calibration. The lipid risk score was positively associated with the baseline Alzheimer Disease Assessment Scale-13-item cognitive subscale (ADAS-Cog13) score and cerebrospinal tau protein level, and predicted cognitive diagnoses. Additional results showing that individuals with increased lipid risk scores had rapid change rates of ADAS-Cog13 and brain atrophy further corroborated the predictive role of lipids.

Discussion

A panel of blood lipids instead of individual lipid molecules could better diagnose and predict cognitive decline.

SUBMITTER: Ma YH

PROVIDER: S-EPMC7507431 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Publications

A panel of blood lipids associated with cognitive performance, brain atrophy, and Alzheimer's diagnosis: A longitudinal study of elders without dementia.

Ma Ya-Hui YH Shen Xue-Ning XN Xu Wei W Huang Yu-Yuan YY Li Hong-Qi HQ Tan Lin L Tan Chen-Chen CC Dong Qiang Q Tan Lan L Yu Jin-Tai JT

Alzheimer's & dementia (Amsterdam, Netherlands) 20200915 1

<h4>Introduction</h4>We sought lipid-metabolic biomarkers involved in the processes underlying cognitive decline and detected them in association with Alzheimer's disease (AD) phenotypes.<h4>Methods</h4>A least absolute shrinkage and selection operator logistic regression model was used to select lipids that best classified cognitive decline defined by a fast-annual rate of cognition. Lipid summary scores were constructed as predictors of cognitive decline by using this model. Multivariable-adju ...[more]

PMID: 32995461

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Dataset Information

A panel of blood lipids associated with cognitive performance, brain atrophy, and Alzheimer's diagnosis: A longitudinal study of elders without dementia.

Introduction

Methods

Results

Discussion

Publications

A panel of blood lipids associated with cognitive performance, brain atrophy, and Alzheimer's diagnosis: A longitudinal study of elders without dementia.

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