NUS Graduate School for Integrative Sciences and Engineering, National University of Singapore, Singapore, Singapore; Science Division, Yale-NUS College, Singapore, Singapore
Sudharshan Ravi
Department of Chemical and Biological Engineering, University of Buffalo, Buffalo, United States; Department of Chemistry and Applied Biosciences, Institute for Chemical and Bioengineering, ETH Zurich, Zurich, Switzerland
Geriatric Medicine Senior Residency Programme, SingHealth Duke-NUS Academic Medical Centre, Singapore, Singapore
Amaury Cazenave-Gassiot
Department of Biochemistry, National University of Singapore, Singapore, Singapore; Singapore Lipidomics Incubator, National University of Singapore, Singapore, Singapore
Tsze Yin Tan
Cardiovascular and Metabolic Disorders Programme, Duke-NUS Medical School, Singapore, Singapore
Jianhong Ching
Cardiovascular and Metabolic Disorders Programme, Duke-NUS Medical School, Singapore, Singapore
Cardiovascular and Metabolic Disorders Programme, Duke-NUS Medical School, Singapore, Singapore
Markus R Wenk
Department of Biochemistry, National University of Singapore, Singapore, Singapore; Singapore Lipidomics Incubator, National University of Singapore, Singapore, Singapore
Rudiyanto Gunawan
Department of Chemical and Biological Engineering, University of Buffalo, Buffalo, United States
Philip K Moore
Department of Pharmacology, National University of Singapore, Singapore, Singapore
Barry Halliwell
Department of Biochemistry, National University of Singapore, Singapore, Singapore
Alzheimer’s disease (AD) is the most common neurodegenerative disease affecting the elderly worldwide. Mitochondrial dysfunction has been proposed as a key event in the etiology of AD. We have previously modeled amyloid-beta (Aβ)-induced mitochondrial dysfunction in a transgenic Caenorhabditis elegans strain by expressing human Aβ peptide specifically in neurons (GRU102). Here, we focus on the deeper metabolic changes associated with this Aβ-induced mitochondrial dysfunction. Integrating metabolomics, transcriptomics and computational modeling, we identify alterations in Tricarboxylic Acid (TCA) cycle metabolism following even low-level Aβ expression. In particular, GRU102 showed reduced activity of a rate-limiting TCA cycle enzyme, alpha-ketoglutarate dehydrogenase. These defects were associated with elevation of protein carbonyl content specifically in mitochondria. Importantly, metabolic failure occurred before any significant increase in global protein aggregate was detectable. Treatment with an anti-diabetes drug, Metformin, reversed Aβ-induced metabolic defects, reduced protein aggregation and normalized lifespan of GRU102. Our results point to metabolic dysfunction as an early and causative event in Aβ-induced pathology and a promising target for intervention.