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Metabolic Profiling of the EmDia Cohort by LC-MS Reveals Empagliflozin-Intake Associated Regulation of 1,5-anhydroglucitol and Urate

Schmitt F, Ten Cate V, Fischer Z, Hagen M, Steigenberger BA, Tenzer S, Wild PS, Schmidlin T

Proteomics, 2026

1 citation

Abstract

The EmDia trial, designed to study the effects of the sodium glucose cotransporter-2 (SGLT2) inhibitor empagliflozin on cardiovascular comorbidities in type 2 diabetes mellitus (T2DM) patients, has been investigated for short-term metabolic alterations by a limited set of clinical assays. To expand on this data, we report on the development of a liquid chromatography-mass spectrometry (LC-MS)-based metabolomics approach employing an optimized metabolite separation by pentafluorophenyl chromatography. High-confidence metabolite annotation based on reference standards allows for fast and robust metabolic characterization of large plasma cohorts due to scalability. Applied to EmDia, we show the high predictive power of our methodology for several clinical parameters, including a near-perfect prediction of fasting blood glucose (R2 = 0.97), and demonstrate how empagliflozin leads to reduced plasma levels of deoxyhexoses, such as 1,5-anhydroglucitol, a short-term biomarker for glycemic control. SUMMARY: Clinical metabolomics studies continue to gain interest due to their comprehensive metabolite coverage, offering insights into metabolic alterations in health and disease. In this study, we present a robust data-independent acquisition liquid chromatography-mass spectrometry-based metabolomics workflow employing an optimized metabolite separation by pentafluorophenyl chromatography that showcases a comprehensive coverage of plasma metabolites. Applied to characterize plasma…

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Evidence Hub reads this as a cohort study, done in people. Its evidence level is 3 of 5 (Moderate · trial / cohort / secondary analysis). Trials without a large randomized design, cohorts and secondary analyses give moderate evidence.

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