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Dataset Information

Characterising Alzheimer's disease through integrative NMR- and LC-MS-based metabolomics.


ABSTRACT:

Background

Alzheimer's Disease (AD) is a complex and multifactorial disease and novel approaches are needed to illuminate the underlying pathology. Metabolites comprise the end-product of genes, transcripts, and protein regulations and might reflect disease pathogenesis. Blood is a common biofluid used in metabolomics; however, since extracellular vesicles (EVs) hold cell-specific biological material and can cross the blood-brain barrier, their utilization as biological material warrants further investigation. We aimed to investigate blood- and EV-derived metabolites to add insigts to the pathological mechanisms of AD.

Methods

Blood samples were collected from 10 AD and 10 Mild Cognitive Impairment (MCI) patients, and 10 healthy controls. EVs were enriched from plasma using

SUBMITTER: Nielsen JE 

PROVIDER: S-EPMC8479251 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature