Toxicological assessment of SGLT2 inhibitors metabolites using in silico approach.

Autor: Jesus JB; Universidade Federal do Rio de Janeiro, Faculdade de Farmácia, Departamento de Fármacos e Medicamentos, Av. Carlos Chagas Filho, 373, CCS, Bloco Lss, Cidade Universitária, 21941-902 Rio de Janeiro, RJ, Brazil., Conceição RAD; Universidade Federal do Rio de Janeiro, Faculdade de Farmácia, Departamento de Fármacos e Medicamentos, Av. Carlos Chagas Filho, 373, CCS, Bloco Lss, Cidade Universitária, 21941-902 Rio de Janeiro, RJ, Brazil., Machado TR; Universidade Federal do Rio de Janeiro, Faculdade de Farmácia, Departamento de Fármacos e Medicamentos, Av. Carlos Chagas Filho, 373, CCS, Bloco Lss, Cidade Universitária, 21941-902 Rio de Janeiro, RJ, Brazil., Barbosa MLC; Universidade Federal do Rio de Janeiro, Faculdade de Farmácia, Departamento de Fármacos e Medicamentos, Av. Carlos Chagas Filho, 373, CCS, Bloco Lss, Cidade Universitária, 21941-902 Rio de Janeiro, RJ, Brazil., Domingos TFS; BIODATA Computing Services & Consulting, Rua Aloísio Teixeira, 278, Parque Tecnológico, Cidade Universitária, 21941-850 Rio de Janeiro, RJ, Brazil., Cabral LM; Universidade Federal do Rio de Janeiro, Faculdade de Farmácia, Departamento de Fármacos e Medicamentos, Av. Carlos Chagas Filho, 373, CCS, Bloco Lss, Cidade Universitária, 21941-902 Rio de Janeiro, RJ, Brazil., Rodrigues CR; Universidade Federal do Rio de Janeiro, Faculdade de Farmácia, Departamento de Fármacos e Medicamentos, Av. Carlos Chagas Filho, 373, CCS, Bloco Lss, Cidade Universitária, 21941-902 Rio de Janeiro, RJ, Brazil., Abrahim-Vieira B; Universidade Federal do Rio de Janeiro, Faculdade de Farmácia, Departamento de Fármacos e Medicamentos, Av. Carlos Chagas Filho, 373, CCS, Bloco Lss, Cidade Universitária, 21941-902 Rio de Janeiro, RJ, Brazil., Souza AMT; Universidade Federal do Rio de Janeiro, Faculdade de Farmácia, Departamento de Fármacos e Medicamentos, Av. Carlos Chagas Filho, 373, CCS, Bloco Lss, Cidade Universitária, 21941-902 Rio de Janeiro, RJ, Brazil.
Jazyk: angličtina
Zdroj: Anais da Academia Brasileira de Ciencias [An Acad Bras Cienc] 2022 Oct 03; Vol. 94 (suppl 3), pp. e20211287. Date of Electronic Publication: 2022 Oct 03 (Print Publication: 2022).
DOI: 10.1590/0001-3765202220211287
Abstrakt: Sodium-glucose cotransporter 2 inhibitors (SGLT2i) are the latest class of drugs approved to treat type 2 DM (T2DM). Although adverse effects are often caused by a metabolite rather than the drug itself, only the safety assessment of disproportionate drug metabolites is usually performed, which is of particular concern for drugs of chronic use, such as SGLT2i. Bearing this in mind, in silico tools are efficient strategies to reveal the risk assessment of metabolites, being endorsed by many regulatory agencies. Thereby, the goal of this study was to apply in silico methods to provide the metabolites toxicity assessment of the SGLT2i. Toxicological assessment from SGLT2i metabolites retrieved from the literature was estimated using the structure and/or statistical-based alert implemented in DataWarrior and ADMET predictorTM softwares. The drugs and their metabolites displayed no mutagenic, tumorigenic or cardiotoxic risks. Still, M1-2 and M3-1 were recognized as potential hepatotoxic compounds and M1-2, M1-3, M3-1, M3-2, M3-3 and M4-3, were estimated to have very toxic LD50 values in rats. All SGLT2i and the metabolites M3-4, M4-1 and M4-2, were predicted to have reproductive toxicity. These results support the awareness that metabolites may be potential mediators of drug-induced toxicities of the therapeutic agents.
Databáze: MEDLINE