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. 2024 Apr;265(Pt 1):130962.
doi: 10.1016/j.ijbiomac.2024.130962. Epub 2024 Mar 17.

Metabolic effects of SGLT2i and metformin on 3-hydroxybutyric acid and lactate in db/db mice

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Metabolic effects of SGLT2i and metformin on 3-hydroxybutyric acid and lactate in db/db mice

Makoto Harada et al. Int J Biol Macromol. 2024 Apr.
Free article

Abstract

Combining a Sodium-Glucose-Cotransporter-2-inhibitor (SGLT2i) with metformin is recommended for managing hyperglycemia in patients with type 2 diabetes (T2D) who have cardio-renal complications. Our study aimed to investigate the metabolic effects of SGLT2i and metformin, both individually and synergistically. We treated leptin receptor-deficient (db/db) mice with these drugs for two weeks and conducted metabolite profiling, identifying 861 metabolites across kidney, liver, muscle, fat, and plasma. Using linear regression and mixed-effects models, we identified two SGLT2i-specific metabolites, X-12465 and 3-hydroxybutyric acid (3HBA), a ketone body, across all examined tissues. The levels of 3HBA were significantly higher under SGLT2i monotherapy compared to controls and were attenuated when combined with metformin. We observed similar modulatory effects on metabolites involved in protein catabolism (e.g., branched-chain amino acids) and gluconeogenesis. Moreover, combination therapy significantly raised pipecolate levels, which may enhance mTOR1 activity, while modulating GSK3, a common target of SGLT2i and 3HBA inhibition. The combination therapy also led to significant reductions in body weight and lactate levels, contrasted with monotherapies. Our findings advocate for the combined approach to better manage muscle loss, and the risks of DKA and lactic acidosis, presenting a more effective strategy for T2D treatment.

Keywords: Branched-chain amino acids; Diabetic ketoacidosis; Lactic acidosis; Metformin adds to SGLT2i; SGLT2i monotherapy.

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Conflict of interest statement

Declaration of competing interest Markus F. Scheerer was employed at Helmholtz Zentrum München during his PhD thesis and is currently employed in the CardioRenal Medical Department of Bayer AG, however, the company was not involved in work related to data and manuscript generation. Susanne Neschen was employed by the Helmholtz Zentrum München during the execution of this study. She is currently an employee of Sanofi Aventis Deutschland GmbH, however, the company was not involved in work related to data and manuscript generation.

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