# Enhanced Untargeted Metabolomics Based on High-Resolution Mass Spectrometry Reveals Global Rewiring Due to Mitochondrial Dysfunction in Yeast

## TL;DR

This study uses advanced mass spectrometry to map how mitochondrial dysfunction in yeast causes widespread changes in metabolism.

## Contribution

The novel contribution is a high-resolution untargeted metabolomics approach revealing global metabolic rewiring in mitochondrial-deficient yeast.

## Key findings

- ρ0 cells showed accumulation of phosphate metabolites, sphingolipids, and fatty acids.
- Branched-chain amino acid depletion in ρ0 cells correlated with impaired growth and mitochondrial stress.
- Polyamine biosynthesis and aromatic amino acid metabolism were reprogrammed in mitochondrial dysfunction.

## Abstract

Mitochondrial dysfunction profoundly alters cellular metabolism, yet its systems-level consequences remain incompletely characterized. Here, we present a comprehensive untargeted metabolomics analysis of respiratory-deficient (ρ0) and competent (ρ+) Saccharomyces cerevisiae prototrophic cells using ultra-high-performance liquid chromatography coupled to Orbitrap Fusion™ Tribrid™ high-resolution mass spectrometry. By integrating hydrophilic interaction and reversed-phase chromatography in both ionization modes, we detected ~7000 features per chromatographic condition, of which ~12% were structurally annotated through MSn fragmentation and in silico spectral matching. Principal component analysis revealed distinct metabolic signatures between ρ0 and ρ+ cells, with ~73% of total variance explained by the first two components. Volcano plot and hierarchical clustering analyses identified a marked accumulation of phosphate-containing metabolites, sphingolipids, ceramides, and fatty acid residues in ρ0 cells, whereas amino acids, excluding arginine, cysteine, and aromatics, were enriched in ρ+ cells. Notably, branched-chain amino acid depletion in ρ0 cells correlated with impaired growth and mitochondrial stress. Pathway enrichment analysis, supported by transcriptomic integration, prompted us to further investigate reprogramming of polyamine biosynthesis and aromatic amino acid metabolism. Calibration curves constructed from certified standards validated the accuracy of the LC–MS platform and reinforced annotation confidence. Our findings demonstrate that advanced untargeted metabolomics, coupled with MS3 fragmentation and multi-omics integration, enables high-resolution mapping of metabolic reconfiguration under mitochondrial dysfunction, offering mechanistic insights into mitochondrial retrograde signaling and adaptation.