Toxicological assessment of SGLT2 inhibitors metabolites using in silico approach

Detalhes bibliográficos
Autor(a) principal: JESUS,JÉSSICA B. DE
Data de Publicação: 2022
Outros Autores: CONCEIÇÃO,RAISSA A. DA, MACHADO,THAYNÁ R., BARBOSA,MARIA L.C., DOMINGOS,THAISA F.S., CABRAL,LUCIO M., RODRIGUES,CARLOS R., ABRAHIM-VIEIRA,BÁRBARA, SOUZA,ALESSANDRA M.T. DE
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Anais da Academia Brasileira de Ciências (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652022000700703
Resumo: Abstract 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.
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spelling Toxicological assessment of SGLT2 inhibitors metabolites using in silico approachdiabetesin silico toxicologymetabolismSGLT2 inhibitorsSGLT2i metabolitesAbstract 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.Academia Brasileira de Ciências2022-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652022000700703Anais da Academia Brasileira de Ciências v.94 suppl.3 2022reponame:Anais da Academia Brasileira de Ciências (Online)instname:Academia Brasileira de Ciências (ABC)instacron:ABC10.1590/0001-3765202220211287info:eu-repo/semantics/openAccessJESUS,JÉSSICA B. DECONCEIÇÃO,RAISSA A. DAMACHADO,THAYNÁ R.BARBOSA,MARIA L.C.DOMINGOS,THAISA F.S.CABRAL,LUCIO M.RODRIGUES,CARLOS R.ABRAHIM-VIEIRA,BÁRBARASOUZA,ALESSANDRA M.T. DEeng2022-09-28T00:00:00Zoai:scielo:S0001-37652022000700703Revistahttp://www.scielo.br/aabchttps://old.scielo.br/oai/scielo-oai.php||aabc@abc.org.br1678-26900001-3765opendoar:2022-09-28T00:00Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC)false
dc.title.none.fl_str_mv Toxicological assessment of SGLT2 inhibitors metabolites using in silico approach
title Toxicological assessment of SGLT2 inhibitors metabolites using in silico approach
spellingShingle Toxicological assessment of SGLT2 inhibitors metabolites using in silico approach
JESUS,JÉSSICA B. DE
diabetes
in silico toxicology
metabolism
SGLT2 inhibitors
SGLT2i metabolites
title_short Toxicological assessment of SGLT2 inhibitors metabolites using in silico approach
title_full Toxicological assessment of SGLT2 inhibitors metabolites using in silico approach
title_fullStr Toxicological assessment of SGLT2 inhibitors metabolites using in silico approach
title_full_unstemmed Toxicological assessment of SGLT2 inhibitors metabolites using in silico approach
title_sort Toxicological assessment of SGLT2 inhibitors metabolites using in silico approach
author JESUS,JÉSSICA B. DE
author_facet JESUS,JÉSSICA B. DE
CONCEIÇÃO,RAISSA A. DA
MACHADO,THAYNÁ R.
BARBOSA,MARIA L.C.
DOMINGOS,THAISA F.S.
CABRAL,LUCIO M.
RODRIGUES,CARLOS R.
ABRAHIM-VIEIRA,BÁRBARA
SOUZA,ALESSANDRA M.T. DE
author_role author
author2 CONCEIÇÃO,RAISSA A. DA
MACHADO,THAYNÁ R.
BARBOSA,MARIA L.C.
DOMINGOS,THAISA F.S.
CABRAL,LUCIO M.
RODRIGUES,CARLOS R.
ABRAHIM-VIEIRA,BÁRBARA
SOUZA,ALESSANDRA M.T. DE
author2_role author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv JESUS,JÉSSICA B. DE
CONCEIÇÃO,RAISSA A. DA
MACHADO,THAYNÁ R.
BARBOSA,MARIA L.C.
DOMINGOS,THAISA F.S.
CABRAL,LUCIO M.
RODRIGUES,CARLOS R.
ABRAHIM-VIEIRA,BÁRBARA
SOUZA,ALESSANDRA M.T. DE
dc.subject.por.fl_str_mv diabetes
in silico toxicology
metabolism
SGLT2 inhibitors
SGLT2i metabolites
topic diabetes
in silico toxicology
metabolism
SGLT2 inhibitors
SGLT2i metabolites
description Abstract 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.
publishDate 2022
dc.date.none.fl_str_mv 2022-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652022000700703
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652022000700703
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0001-3765202220211287
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Academia Brasileira de Ciências
publisher.none.fl_str_mv Academia Brasileira de Ciências
dc.source.none.fl_str_mv Anais da Academia Brasileira de Ciências v.94 suppl.3 2022
reponame:Anais da Academia Brasileira de Ciências (Online)
instname:Academia Brasileira de Ciências (ABC)
instacron:ABC
instname_str Academia Brasileira de Ciências (ABC)
instacron_str ABC
institution ABC
reponame_str Anais da Academia Brasileira de Ciências (Online)
collection Anais da Academia Brasileira de Ciências (Online)
repository.name.fl_str_mv Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC)
repository.mail.fl_str_mv ||aabc@abc.org.br
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