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Recent advances in the application of metabolomics to Alzheimer's Disease

Open access
Trushina, Eugenia, Mielke, Michelle M.·2014·Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease

Abstract

The pathophysiological changes associated with Alzheimer’s Disease (AD) begin decades before the emergence of clinical symptoms. Understanding the early mechanisms associated with AD pathology is, therefore, especially important for identifying disease-modifying therapeutic targets. While the majority of AD clinical trials to date have focused on anti-amyloid-beta (Aβ) treatments, other therapeutic approaches may be necessary. The ability to monitor changes in cellular networks that include both Aβ and non-Aβ pathways is essential to advance our understanding of the etiopathogenesis of AD and subsequent development of cognitive symptoms and dementia. Metabolomics is a powerful tool that detects perturbations in the metabolome, a pool of metabolites that reflects changes downstream of genomic, transcriptomic and proteomic fluctuations, and represents an accurate biochemical profile of the organism in health and disease. The application of metabolomics could help to identify biomarkers for early AD diagnosis, to discover novel therapeutic targets, and to monitor therapeutic response and disease progression. Moreover, given the considerable parallel between mouse and human metabolism, the use of metabolomics provides ready translation of animal research into human studies for accelerated drug design. In this review, we will summarize current progress in the application of metabolomics in both animal models and in humans to further understanding of the mechanisms involved in AD pathogenesis.

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Metadata

Authors
Trushina, E., & Mielke, M. M.
Venue
Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease
Publisher
Elsevier BV
Published
2014-08
Volume
1842
Issue
8
Pages
1232-1239
ISSN
0925-4439 (ISSN-L)
OpenAlex
W1994243437
Cited by
196
References
16
FWCI
9.59
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Recent advances in the application of metabolomics to Alzheimer's Disease. https://app.cochat.ai/papers/10.1016/j.bbadis.2013.06.014
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Trushina, E., & Mielke, M. M. (2014). Recent advances in the application of metabolomics to Alzheimer's Disease. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. https://doi.org/10.1016/j.bbadis.2013.06.014

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.