NMR-based metabolomics in Alzheimer's disease research: a review.

Alzheimer’s disease NMR lipoproteins metabolites mild cognitive impairment

Journal

Frontiers in molecular biosciences
ISSN: 2296-889X
Titre abrégé: Front Mol Biosci
Pays: Switzerland
ID NLM: 101653173

Informations de publication

Date de publication:
2023
Historique:
received: 06 10 2023
accepted: 21 11 2023
medline: 15 12 2023
pubmed: 15 12 2023
entrez: 15 12 2023
Statut: epublish

Résumé

Alzheimer's disease (AD) is a progressive neurodegenerative disorder and represents the most common cause of dementia in the elderly population worldwide. Currently, there is no cure for AD, and the continuous increase in the number of susceptible individuals poses one of the most significant emerging threats to public health. However, the molecular pathways involved in the onset and progression of AD are not fully understood. This information is crucial for developing less invasive diagnostic instruments and discovering novel potential therapeutic targets. Metabolomics studies the complete ensemble of endogenous and exogenous metabolites present in biological specimens and may provide an interesting approach to identify alterations in multiple biochemical processes associated with AD onset and evolution. In this mini review, we summarize the results from metabolomic studies conducted using nuclear magnetic resonance (NMR) spectroscopy on human biological samples (blood derivatives, cerebrospinal fluid, urine, saliva, and tissues) from AD patients. We describe the metabolic alterations identified in AD patients compared to controls and to patients diagnosed with mild cognitive impairment (MCI). Moreover, we discuss the challenges and issues associated with the application of NMR-based metabolomics in the context of AD research.

Identifiants

pubmed: 38099198
doi: 10.3389/fmolb.2023.1308500
pii: 1308500
pmc: PMC10720579
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

1308500

Informations de copyright

Copyright © 2023 Vignoli and Tenori.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Auteurs

Alessia Vignoli (A)

Department of Chemistry "Ugo Schiff", University of Florence, Sesto Fiorentino, Italy.
Magnetic Resonance Center (CERM), University of Florence, Sesto Fiorentino, Italy.

Leonardo Tenori (L)

Department of Chemistry "Ugo Schiff", University of Florence, Sesto Fiorentino, Italy.
Magnetic Resonance Center (CERM), University of Florence, Sesto Fiorentino, Italy.
Consorzio Interuniversitario Risonanze Magnetiche MetalloProteine (CIRMMP), Sesto Fiorentino, Italy.

Classifications MeSH