Nutrition Postgraduate Program, Center for Health Sciences, Federal University of Rio Grande do Norte, Natal 59078-970, RN, Brazil.
Biochemistry and Molecular Biology Postgraduate Program, Biosciences Center, Federal University of Rio Grande do Norte, Natal 59078-970, RN, Brazil.
Int J Mol Sci. 2024 Aug 25;25(17):9213. doi: 10.3390/ijms25179213.
The Target-Based Virtual Screening approach is widely employed in drug development, with docking or molecular dynamics techniques commonly utilized for this purpose. This systematic review (SR) aimed to identify in silico therapeutic targets for treating Diabetes mellitus (DM) and answer the question: What therapeutic targets have been used in in silico analyses for the treatment of DM? The SR was developed following the guidelines of the Preferred Reporting Items Checklist for Systematic Review and Meta-Analysis, in accordance with the protocol registered in PROSPERO (CRD42022353808). Studies that met the PECo strategy (Problem, Exposure, Context) were included using the following databases: Medline (PubMed), Web of Science, Scopus, Embase, ScienceDirect, and Virtual Health Library. A total of 20 articles were included, which not only identified therapeutic targets in silico but also conducted in vivo analyses to validate the obtained results. The therapeutic targets most frequently indicated in in silico studies were GLUT4, DPP-IV, and PPARγ. In conclusion, a diversity of targets for the treatment of DM was verified through both in silico and in vivo reassessment. This contributes to the discovery of potential new allies for the treatment of DM.
基于靶标的虚拟筛选方法广泛应用于药物开发中,常采用对接或分子动力学技术来实现这一目标。本系统综述(SR)旨在确定用于治疗糖尿病(DM)的基于计算的治疗靶点,并回答以下问题:针对 DM 的治疗,基于计算的分析中使用了哪些治疗靶点?本综述是按照系统评价和荟萃分析的首选报告项目清单指南(PRISMA)制定的,并根据在 PROSPERO(CRD42022353808)中注册的方案进行。使用以下数据库,符合 PECo 策略(问题、暴露、背景)的研究被纳入:Medline(PubMed)、Web of Science、Scopus、Embase、ScienceDirect 和 Virtual Health Library。共纳入 20 篇文章,这些文章不仅在计算上确定了治疗靶点,还进行了体内分析以验证获得的结果。在计算研究中最常提到的治疗靶点是 GLUT4、DPP-IV 和 PPARγ。总之,通过体内和体外再评估验证了多种用于治疗 DM 的靶点。这有助于发现治疗 DM 的潜在新盟友。