Triple acquisition mass spectrometry (TRAM) combining targeted and non-targeted metabolomics in a single run

Lisa Panzenboeck, Harald Schoeny, Bruno Stelzer, Elisabeth Foels, Marvin Glas, Marlene Pühringer, Dorian Hirschmann, Daniela Loetsch, Christian Dorfer, Evelyn Rampler, Gunda Koellensperger (Corresponding author)

Publications: Contribution to journalArticlePeer Reviewed

Abstract

Background: We introduce TRAM, a triple acquisition strategy on a high-speed quadrupole time-of-flight mass spectrometer for merging non-targeted and targeted metabolomics into one run. TRAM stands for “quasi-simultaneous” acquisition of (1) a full scan MS1, (2) top 30 data-dependent MS2 (DDA), and (3) targeted scheduled MS2 for multiple reaction monitoring (MRM) within measurement cycles of ∼1 s. TRAM combines the selectivity and sensitivity of state-of-the-art targeted MRM-based methods with the full scope of non-targeted analysis enabled by high-resolution mass spectrometry. Results: In this work, we deploy a workflow based on hydrophilic interaction liquid chromatography (HILIC). For a broad panel of metabolites, we provide chromatographic retention times, and optimized conditions as a basis for targeted MRM experiments, listing accurate masses and sum formulas for fragment ions (including fully 13C labeled analogs). Validation experiments showed that TRAM offered (1) linear working ranges and limits of quantification comparable to MRM-only methods, (2) enabled accurate quantification in SRM 1950 human plasma reference material, and (3) was equivalent to DDA-only approaches in non-targeted metabolomics. Metabolomics in human cerebrospinal fluid showcased the power of the strategy, emphasizing the need for high coverage/high throughput metabolomics in clinical studies. Significance: Acquiring up to 30 data-dependent spectra per MS cycle while still offering gold standard absolute quantification down to low nanomolar concentrations, TRAM allows in-depth profiling and reduces required sample volume, time, cost, and environmental impact.

Original languageEnglish
Article number343314
JournalAnalytica Chimica Acta
Volume1331
DOIs
Publication statusPublished - 1 Dec 2024

Austrian Fields of Science 2012

  • 106057 Metabolomics
  • 104002 Analytical chemistry

Keywords

  • Absolute quantification
  • HILIC
  • Liquid chromatography-mass spectrometry
  • Meningioma
  • Non-targeted metabolomics
  • Targeted metabolomics
  • ZenoTOF 7600

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