Potential therapeutic role of sex steroids in treating sarcopenia: a network pharmacology and molecular dynamics study.

IF 2.7 3区 医学 Q2 PHARMACOLOGY & PHARMACY
Xiangyu Cui, Xiaodong Li, Xin Qi, Dawang Wang, Boyuan Kang, FengJiu Li, Xilin Xu
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引用次数: 0

Abstract

Background: Sarcopenia, characterized by progressive muscle loss and functional decline in aging, poses significant health challenges. Sex steroids, such as estradiol and testosterone, have potential therapeutic roles in mitigating muscle degeneration. This study explores the molecular mechanisms and targets of sex steroids in the treatment of sarcopenia using network pharmacology, enrichment analysis, machine learning, molecular docking, and molecular dynamics simulations.

Methods: We identified potential anti-sarcopenia targets by analyzing the interaction network between sex steroids and their targets, intersecting these with differentially expressed genes (DEGs) from the GSE1428. Enrichment analysis was conducted to determine the functional relevance of these targets. Gene set variation analysis (GSVA) was employed to explore pathway-level differences between age groups. Machine learning algorithms (RF, SVM, XGBoost) identified crucial biomarker genes. A nomogram for predicting sarcopenia was constructed and validated. Molecular docking and molecular dynamics (MD) simulations evaluated the binding interactions and stability of steroid-target complexes.

Results: Intersection analysis revealed 69 potential anti-sarcopenia targets. Enrichment analysis highlighted pathways related to muscle function, such as calcium signaling and synaptic transmission. GSVA indicated significant upregulation of DNA damage response and immune response pathways in the older group. Machine learning algorithms pinpointed CFTR, FYN, and PRKCA as top biomarkers. The nomogram demonstrated high predictive accuracy with an AUC of 0.925. Molecular docking showed significant binding affinities of sex steroids with target proteins, further supported by stable RMSD values in MD simulations.

Conclusion: Sex steroids, specifically estradiol and testosterone, demonstrate promising interactions with key targets implicated in sarcopenia in silico. These computational findings offer preliminary mechanistic insights into the potential therapeutic role of sex steroids in modulating muscle-related pathways. Further experimental and clinical validation is warranted to assess their translational applicability for sarcopenia treatment.

Clinical trial number: Not applicable.

性类固醇在治疗肌肉减少症中的潜在治疗作用:网络药理学和分子动力学研究。
背景:骨骼肌减少症,以进行性肌肉损失和衰老过程中的功能下降为特征,对健康构成重大挑战。性类固醇,如雌二醇和睾酮,在缓解肌肉退化方面有潜在的治疗作用。本研究利用网络药理学、富集分析、机器学习、分子对接和分子动力学模拟等手段,探讨性类固醇治疗肌肉减少症的分子机制和靶点。方法:我们通过分析性类固醇及其靶点之间的相互作用网络,将这些靶点与GSE1428的差异表达基因(DEGs)交叉,确定了潜在的抗肌少症靶点。通过富集分析来确定这些靶点的功能相关性。采用基因集变异分析(GSVA)探讨不同年龄组间通路水平的差异。机器学习算法(RF, SVM, XGBoost)确定了关键的生物标记基因。构建并验证了预测肌肉减少症的nomogram。分子对接和分子动力学(MD)模拟评估了类固醇靶复合物的结合相互作用和稳定性。结果:交叉分析发现69个潜在的抗肌少症靶点。富集分析强调了与肌肉功能相关的途径,如钙信号和突触传递。GSVA提示老年组DNA损伤反应和免疫反应通路明显上调。机器学习算法将CFTR、FYN和PRKCA确定为顶级生物标志物。nomogram预测准确度较高,AUC为0.925。分子对接表明,性类固醇与靶蛋白具有显著的结合亲和力,这进一步得到了MD模拟中稳定RMSD值的支持。结论:性类固醇,特别是雌二醇和睾酮,显示出与硅骨骼肌减少症相关的关键靶点有希望的相互作用。这些计算结果为性类固醇在调节肌肉相关通路中的潜在治疗作用提供了初步的机制见解。需要进一步的实验和临床验证来评估它们在肌肉减少症治疗中的转化适用性。临床试验号:不适用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
BMC Pharmacology & Toxicology
BMC Pharmacology & Toxicology PHARMACOLOGY & PHARMACYTOXICOLOGY&nb-TOXICOLOGY
CiteScore
4.80
自引率
0.00%
发文量
87
审稿时长
12 weeks
期刊介绍: BMC Pharmacology and Toxicology is an open access, peer-reviewed journal that considers articles on all aspects of chemically defined therapeutic and toxic agents. The journal welcomes submissions from all fields of experimental and clinical pharmacology including clinical trials and toxicology.
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