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

Branched-chain amino acids Diabetic ketoacidosis Lactic acidosis Metformin adds to SGLT2i SGLT2i monotherapy

Journal

International journal of biological macromolecules
ISSN: 1879-0003
Titre abrégé: Int J Biol Macromol
Pays: Netherlands
ID NLM: 7909578

Informations de publication

Date de publication:
17 Mar 2024
Historique:
received: 06 09 2023
revised: 15 03 2024
accepted: 15 03 2024
medline: 20 3 2024
pubmed: 20 3 2024
entrez: 19 3 2024
Statut: aheadofprint

Résumé

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.

Identifiants

pubmed: 38503370
pii: S0141-8130(24)01767-7
doi: 10.1016/j.ijbiomac.2024.130962
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

130962

Informations de copyright

Copyright © 2024. Published by Elsevier B.V.

Déclaration de conflit d'intérêts

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.

Auteurs

Makoto Harada (M)

Institute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany; German Center for Diabetes Research (DZD), München-Neuherberg, Germany.

Siyu Han (S)

Institute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany; German Center for Diabetes Research (DZD), München-Neuherberg, Germany; School of Medicine, Technical University of Munich (TUM), Munich, Germany.

Mengya Shi (M)

Institute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany; German Center for Diabetes Research (DZD), München-Neuherberg, Germany; School of Medicine, Technical University of Munich (TUM), Munich, Germany.

Jianhong Ge (J)

Institute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany; German Center for Diabetes Research (DZD), München-Neuherberg, Germany; School of Medicine, Technical University of Munich (TUM), Munich, Germany.

Shixiang Yu (S)

Institute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany; School of Medicine, Technical University of Munich (TUM), Munich, Germany.

Jonathan Adam (J)

Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany.

Jerzy Adamski (J)

Institute of Experimental Genetics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany; Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Institute of Biochemistry, Faculty of Medicine, University of Ljubljana, 1000 Ljubljana, Slovenia.

Markus F Scheerer (MF)

Institute of Experimental Genetics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany.

Susanne Neschen (S)

Institute of Experimental Genetics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany.

Martin Hrabe de Angelis (MH)

German Center for Diabetes Research (DZD), München-Neuherberg, Germany; Institute of Experimental Genetics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany; Chair of Experimental Genetics, School of Life Sciences, Technical University of Munich (TUM), Freising, Germany.

Rui Wang-Sattler (R)

Institute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany; German Center for Diabetes Research (DZD), München-Neuherberg, Germany. Electronic address: rui.wang-sattler@helmholtz-munich.de.

Classifications MeSH