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Updated: Aug 22, 2026

One-step Metabolomics: Carbohydrates, Organic and Amino Acids Quantified in a Single Procedure
Published on: June 25, 2010
Cross-species urinary metabolomics identifies 2-hydroxyisovalerate as a candidate biomarker for mtDNA-based disorders
Marianne Venter1, Karin Terburgh1, Jeremie Z Lindeque1
1Mitochondria Research Group, Biomedical and Molecular Metabolism Research (BioMMet), North-West University, Potchefstroom, South Africa.
None:
Pathogenic mitochondrial DNA (mtDNA) mutations contribute to a broad spectrum of both common and rare metabolic diseases. However, clinical presentation is highly variable and only partially explained by the proportion of mutant mtDNA or heteroplasmy. With the relationship between mutation burden and clinical manifestation poorly defined, controlled models are required to uncover underlying mechanisms. Here, we explore the metabolic consequences of increasing heteroplasmy in a well-characterised mouse model harbouring a pathogenic mtDNA deletion. Untargeted urinary metabolomics reveals distinct mutation load-dependent metabolic shifts with some metabolites declining early on, while others exhibit threshold-like increases beyond ~ 60% mutation load - the level at which lactic acidemia and OXPHOS defects become apparent in this model. To assess translational relevance, we examined these heteroplasmy-associated metabolites in urine from patients carrying the most common mtDNA mutation, m.3243 A > G. Several of these metabolites were differentially expressed in patients relative to controls, with conserved directionality across species. Among these, 2-hydroxyisovalerate (2-HIVA), which was most strongly affected in the mouse model, also emerged as the top discriminator in patients. Receiver operating characteristic analysis indicated that urinary 2-HIVA has strong discriminatory power, supporting its potential utility as a biomarker for mtDNA-based disorders. These findings enhance our understanding of mtDNA-related disease pathophysiology and establish a foundation for further validation studies.

