Unknown

Dataset Information

Serum metabolic signatures for Alzheimer's Disease reveal alterations in amino acid composition: a validation study.


ABSTRACT:

Introduction

Alzheimer's Disease (AD) is complex and novel approaches are urgently needed to aid in diagnosis. Blood is frequently used as a source for biomarkers; however, its complexity prevents proper detection. The analytical power of metabolomics, coupled with statistical tools, can assist in reducing this complexity.

Objectives

Thus, we sought to validate a previously proposed panel of metabolic blood-based biomarkers for AD and expand our understanding of the pathological mechanisms involved in AD that are reflected in the blood.

Methods

In the validation cohort serum and plasma were collected from 25 AD patients and 25 healthy controls. Serum was analysed for metabolites using nuclear magnetic resonance (NMR) spectroscopy, while plasma was tested for markers o

SUBMITTER: Nielsen JE 

PROVIDER: S-EPMC10770204 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature