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
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
130962Informations 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.