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Discovery of a SUCNR1 antagonist for potential treatment of diabetic nephropathy: In silico and in vitro studies.
Zhang, Xuting; Lyu, Dongxin; Li, Shanshan; Xiao, Haiming; Qiu, Yufan; Xu, Kangwei; Chen, Nianhang; Deng, Li; Huang, Heqing; Wu, Ruibo.
Afiliação
  • Zhang X; School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou 510006, China; Guangzhou Hospital of Integrated Traditional and Western Medicine, Guangzhou 510801, China.
  • Lyu D; School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou 510006, China.
  • Li S; School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou 510006, China.
  • Xiao H; School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou 510006, China.
  • Qiu Y; School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou 510006, China.
  • Xu K; School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou 510006, China.
  • Chen N; School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou 510006, China.
  • Deng L; College of Traditional Chinese Medicine, Jinan University, Guangzhou 510632, China. Electronic address: dengli@jnu.edu.cn.
  • Huang H; Guangzhou Hospital of Integrated Traditional and Western Medicine, Guangzhou 510801, China. Electronic address: Huangheq1125@163.com.
  • Wu R; School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou 510006, China. Electronic address: wurb3@mail.sysu.edu.cn.
Int J Biol Macromol ; 268(Pt 2): 131898, 2024 May.
Article em En | MEDLINE | ID: mdl-38677680
ABSTRACT
Diabetic nephropathy (DN) is one of the most severe complications of diabetes mellitus. Succinate Receptor 1 (SUCNR1), a member of the G-protein-coupled receptor (GPCR) family, represents a potential target for treatment of DN. Here, utilizing multi-strategy in silico virtual screening methods containing AlphaFold2 modelling, molecular dynamics (MD) simulation, ligand-based pharmacophore screening, molecular docking and machine learning-based similarity clustering, we successfully identified a novel antagonist of SUCNR1, AK-968/12117473 (Cpd3). Through extensive in vitro experiments, including dual-luciferase reporter assay, cellular thermal shift assay, immunofluorescence, and western blotting, we substantiated that Cpd3 could specifically target SUCNR1, inhibit the activation of NF-κB pathway, and ameliorate epithelial-mesenchymal transition (EMT) and extracellular matrix (ECM) deposition in renal tubular epithelial cells (NRK-52E) under high glucose conditions. Further in silico simulations revealed the molecular basis of the SUCNR1-Cpd3 interaction, and the in vitro metabolic stability assay indicated favorable drug-like pharmacokinetic properties of Cpd3. This work not only successfully pinpointed Cpd3 as a specific antagonist of SUCNR1 to serve as a promising candidate in the realm of therapeutic interventions for DN, but also provides a paradigm of dry-wet combined discovery strategies for GPCR-based therapeutics.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Receptores Acoplados a Proteínas G / Nefropatias Diabéticas / Simulação de Dinâmica Molecular / Simulação de Acoplamento Molecular Limite: Animals / Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Receptores Acoplados a Proteínas G / Nefropatias Diabéticas / Simulação de Dinâmica Molecular / Simulação de Acoplamento Molecular Limite: Animals / Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article