| Literature DB >> 24898638 |
Eosu Kim1, Young-Sang Jung2, Hyunjeong Kim1, Jin-Sup Kim2, Minsun Park3, Jihyeon Jeong1, Su Kyoung Lee3, Ho-Geun Yoon4, Geum-Sook Hwang5, Kee Namkoong3.
Abstract
Discovery of biomarkers in peripheral blood is a crucial step toward the early diagnosis and repetitive monitoring of treatment response for Alzheimer's disease (AD). Metabolomics is a promising technology that can identify unbiased biomarkers. To explore potential blood biomarkers for AD via metabolic profiling with high-resolution magic angle spinning nuclear magnetic resonance techniques, we identified changes in peripheral blood metabolomic profiles in response to amyloid-β (Aβ)-induced neuroinflammation and co-treatment with gallate, a phytochemical known to have anti-neuroinflammatory properties. Alzheimer's-like (AL) model mice were produced by intracerebroventricular infusion of Aβ and compared with normal control mice with infusion of vehicle. AL mice were treated with either gallate (treated AL mice) or vehicle (untreated AL mice). Metabolomic analyses of both whole blood and plasma showed a clear separation between untreated AL mice and the other two groups, with levels of several metabolites involved in energy metabolism, including pyruvate and creatine, being significantly reduced in untreated AL mice compared with control and treated AL mice. Gallate treatment suppressed Aβ-induced overproduction of the inflammatory cytokine tumor necrosis factor-α in the hippocampus and normalized plasma levels of the affected metabolites. These results suggest that plasma levels of several metabolites could be indicative of both brain pathology and therapeutic responses, supporting the possibility of a close relationship between central neuroinflammation and systemic metabolic disturbance. These findings also suggest the potential of NMR-based metabolomics as a method to identify novel plasma biomarkers for AD, which could be confirmed by future translational research with human patients.Entities:
Keywords: Alzheimer's disease; NMR; biomarker; creatine; metabolomics; neuroinflammation; plasma; pyruvate
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Year: 2014 PMID: 24898638 DOI: 10.3233/JAD-132165
Source DB: PubMed Journal: J Alzheimers Dis ISSN: 1387-2877 Impact factor: 4.472