bioRxivBiochemistryPreprint
Charting the undiscovered metabolome with synthetic multiplexing implicates ibuprofen-carnitine in myotoxicity
Abubaker PataniD, Shipei XingiD, Vincent Charron‐LamoureuxiD, Zhewen HuiD, Victoria DelerayiD, Julius AgongoiD, Jasmine ZemliniD, Harsha GoudaiD, Prajit RajkumariD, Yasin El AbieadiD, Aubreyana E. McMaughiD, Hannah HeathiD, Helena Mannochio-RussoiD, Ipsita MohantyiD, Laila Abolfathi, Ricardo Almada-MonteriD, Jia YangiD, Carlynda LeeiD, Daniel LeanosiD, Noah Weimann, Wataru Tsuda, Sadie Giddings, Tammy Bui, Eric Ding, Kine Eide KvitneiD, , Pieter C. DorresteiniD
Abstract
Most molecular features detected in untargeted metabolomics remain uncharacterized due to the limited scope of existing spectral reference libraries. We synthesized >100,000 biologically inspired compounds using multiplexed reactions, of which 91% were absent from existing structural databases, and searched the resulting MS/MS library across >1.7 billion public spectra, increasing annotation rates by 17.4%. This approach revealed previously undescribed exposure-derived metabolites, including ibuprofen-carnitine. Because ibuprofen has been linked to rhabdomyolysis, reduced mitochondrial function, and impaired muscle recovery in carnitine-limited contexts, we investigated the functional relevance of this conjugate. Ibuprofen-carnitine reduced carnitine transport via the OCTN2 transporter, and in a postpartum mouse muscle injury model, ibuprofen delayed muscle repair that could be rescued by carnitine supplementation, with urinary ibuprofen-carnitine:carnitine ratios tracking this effect. These findings support a hypothesis whereby NSAID-carnitine conjugates compete for carnitine transport, impairing energy metabolism and muscle recovery in susceptible individuals. Synthetic multiplexing thus provides a scalable route to annotate the dark metabolome and generate experimentally testable biological hypotheses.
- organism: mouse
- assay: metabolomics
- research focus: drug response / drug discovery
- approach: deep learning
- Citations
- 8
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