Integrative Advances in Parkinson's Disease: Pathophysiology, Diagnostics, Therapeutics, and Experimental Modeling

platforms.MethodsRecent studies on animal models, patient-induced pluripotent stem cell (iPSC) systems, three-dimensional (3D) bioprinting, neuroimaging, and biomarker discovery have been critically examined to determine their translational potential and limitations.ResultsTraditional animal models are effective at replicating dopaminergic degradation but fall short of fully replicating progressive and systemic elements of Parkinson's disease. iPSC-derived neurons and 3D-bioprinted constructs are more genetically specific and cellularly complex, allowing for patient-relevant modeling and medication screening. Advances in imaging and molecular biomarkers aid in earlier detection; nevertheless, no cross-validation or platform standards has been established.ConclusionCombining cellular, molecular, and bioengineered models with clinical diagnostics has the potential to improve translational accuracy and accelerate the development of disease-modifying treatments. A cross-platform system is critical for improving the predictive validity of preclinical studies in Parkinson's disease.