Singh Pankaj, Borkar Maheshkumar, Doshi Gaurav
Department of Pharmacology, SVKM's Dr. Bhanuben Nanavati College of Pharmacy, Mithibai Campus, V. M. Road, Vile Parle (W), Mumbai, 400056, India.
Department of Pharmaceutical Chemistry, SVKM's Dr. Bhanuben Nanavati College of Pharmacy, V. M. Road, Vile Parle (W), Mumbai, India.
Mol Divers. 2025 Apr 25. doi: 10.1007/s11030-025-11198-3.
Aging is a slow and irreversible biological process leading to decreased cell and tissue functions with higher risks of multiple age-related diseases, including neurodegenerative diseases. It is widely accepted that aging represents the leading risk factor for neurodegeneration. The pathogenesis of these diseases involves complex interactions of genetic mutations, environmental factors, oxidative stress, neuroinflammation, and mitochondrial dysfunction, which complicate treatment with traditional mono-targeted therapies. Network pharmacology can help identify potential gene or protein targets related to neurodegenerative diseases. Integrating advanced molecular profiling technologies and computer-aided drug design further enhances the potential of network pharmacology, enabling the identification of biomarkers and therapeutic targets, thus paving the way for precision medicine in neurodegenerative diseases. This review article delves into the application of network pharmacology in understanding and treating neurodegenerative disorders such as Alzheimer's disease, Parkinson's disease, amyotrophic lateral sclerosis, Huntington's disease, and spinal muscular atrophy. Overall, this article emphasizes the importance of addressing aging as a central factor in developing effective disease-modifying therapies, highlighting how network pharmacology can unravel the complex biological networks associated with aging and pave the way for personalized medical strategies.
衰老过程缓慢且不可逆，会导致细胞和组织功能衰退，并增加患多种与年龄相关疾病的风险，包括神经退行性疾病。衰老被广泛认为是神经退行性变的主要危险因素。这些疾病的发病机制涉及基因突变、环境因素、氧化应激、神经炎症和线粒体功能障碍等复杂的相互作用，这使得传统的单靶点治疗变得复杂。网络药理学有助于识别与神经退行性疾病相关的潜在基因或蛋白质靶点。将先进的分子谱分析技术与计算机辅助药物设计相结合，进一步提高了网络药理学的潜力，能够识别生物标志物和治疗靶点，从而为神经退行性疾病的精准医学铺平道路。这篇综述文章深入探讨了网络药理学在理解和治疗神经退行性疾病（如阿尔茨海默病、帕金森病、肌萎缩侧索硬化症、亨廷顿舞蹈病和脊髓性肌萎缩症）中的应用。总体而言，本文强调了将衰老作为开发有效疾病修饰疗法的核心因素加以应对的重要性，突出了网络药理学如何能够揭示与衰老相关的复杂生物网络，并为个性化医疗策略铺平道路。
