Abstract：
Parkinson\'s disease (PD), the second most prevalent neurodegenerative disorder, is projected to see a significant rise in incidence over the next three decades. The precise treatment of PD remains a formidable challenge, prompting ongoing research into early diagnostic methodologies. Network pharmacology, a burgeoning field grounded in systems biology, examines the intricate networks of biological systems to identify critical signal nodes, facilitating the development of multi-target therapeutic molecules. This approach systematically maps the components of Parkinson\'s disease, thereby reducing its complexity. In this review, we explore the application of network pharmacology workflows in PD, discuss the techniques employed in this field, and evaluate the current advancements and status of network pharmacology in the context of Parkinson\'s disease. The comprehensive insights will pave newer paths to explore early disease biomarkers and to develop diagnosis with a holistic in silico, in vitro, in vivo and clinical studies.
摘要：
帕金森病（PD），第二最普遍的神经退行性疾病，预计未来三十年发病率将大幅上升。PD的精确治疗仍然是一个艰巨的挑战，促使正在进行的早期诊断方法的研究。网络药理学,以系统生物学为基础的新兴领域，检查复杂的生物系统网络以识别关键信号节点，促进多靶点治疗分子的发展。这种方法系统地绘制了帕金森病的组成部分，从而降低其复杂性。在这次审查中,我们探索网络药理学工作流程在PD中的应用，讨论这一领域采用的技术，并评估帕金森病背景下网络药理学的当前进展和现状。全面的见解将为探索早期疾病生物标志物和开发具有整体硅片的诊断铺平道路。在体外，体内和临床研究。
