Your browser doesn't support javascript.
loading
Metabolomics and molecular dynamics unveil the therapeutic potential of epalrestat in diabetic nephropathy.
Song, Tongtong; Wang, Rongjin; Zhou, Xiaoyue; Chen, Weijia; Chen, Ying; Liu, Zhongying; Men, Lihui.
Afiliação
  • Song T; College of Basic Medical Sciences, Jilin University, Changchun 130021, PR China.
  • Wang R; School of Pharmaceutical Sciences, Jilin University, Changchun 130021, PR China.
  • Zhou X; The First Hospital of Jilin University, Changchun 130052, PR China.
  • Chen W; College of Chinese Medicinal Materials, Jilin Agricultural University, Changchun 130118, PR China.
  • Chen Y; The First Hospital of Jilin University, Changchun 130052, PR China.
  • Liu Z; School of Pharmaceutical Sciences, Jilin University, Changchun 130021, PR China.
  • Men L; College of Basic Medical Sciences, Jilin University, Changchun 130021, PR China. Electronic address: menlh@jlu.edu.cn.
Int Immunopharmacol ; 140: 112812, 2024 Oct 25.
Article em En | MEDLINE | ID: mdl-39094360
ABSTRACT
Diabetic nephropathy (DN) is one of the leading clinical causes of end-stage renal failure. The classical aldose reductase (AR) inhibitor epalrestat shows beneficial effect on renal dysfunction induced by DN, with metabolic profile and molecular mechanisms remains to be investigated further. In the current study, integrated untargeted metabolomics, network pharmacology and molecular dynamics approaches were applied to explore the therapeutic mechanisms of epalrestat against DN. Firstly, untargeted serum and urine metabolomics analysis based on UPLC-Q-TOF-MS was performed, revealed that epalrestat could regulate the metabolic disorders of amino acids metabolism, arachidonic acid metabolism, pyrimidine metabolism and citrate cycle metabolism pathways after DN. Subsequently, metabolomics-based network analysis was carried out to predict potential active targets of epalrestat, mainly involving AGE-RAGE signaling pathway, TNF signaling pathway and HIF-1 signaling pathway. Moreover, a 100 ns molecular dynamics approach was employed to validate the interactions between epalrestat and the core targets, showing that epalrestat could form remarkable tight binding with GLUT1 and NFκB than it with AR. Surface-plasmon resonance assay further verified epalrestat could bind GLUT1 and NFκB proteins specifically. Overall, integrated system network analysis not only demonstrated that epalrestat could attenuate DN induced metabolic disorders and renal injuries, but also revealed that it could interact with multi-targets to play a synergistic regulatory role in the treatment of DN.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Rodanina / Nefropatias Diabéticas / Metabolômica / Simulação de Dinâmica Molecular Limite: Animals / Humans / Male Idioma: En Revista: Int Immunopharmacol Assunto da revista: ALERGIA E IMUNOLOGIA / FARMACOLOGIA Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Rodanina / Nefropatias Diabéticas / Metabolômica / Simulação de Dinâmica Molecular Limite: Animals / Humans / Male Idioma: En Revista: Int Immunopharmacol Assunto da revista: ALERGIA E IMUNOLOGIA / FARMACOLOGIA Ano de publicação: 2024 Tipo de documento: Article
...