A Holistic Approach to Parkinson's Disease: Integrating Advances in Pathophysiology, Diagnosis, and Therapy.

Autor: Kumar, Lalit, Malhotra, Meenakshi, Sharma, Ankit, Singh, Ajeet Pal, Singh, Amar Pal
Předmět:
Zdroj: Journal of Drug Delivery & Therapeutics; May2024, Vol. 14 Issue 5, p141-147, 7p
Abstrakt: Background: Parkinson's disease (PD) is a prevalent neurodegenerative disorder affecting millions worldwide, with an increasing burden projected in the coming years. It involves complex neurological decline primarily affecting the Substantia nigra and Locus coeruleus, leading to motor and non-motor symptoms. Objective: This study aims to provide a comprehensive overview of Parkinson's disease, including its epidemiology, pathophysiology, diagnosis, and available therapies, encompassing both traditional pharmaceutical treatments and emerging technological advancements. Methods: A thorough review of literature was conducted, synthesizing information from various studies and clinical trials to elucidate the current understanding of Parkinson's disease and its management strategies. Results: Parkinson's disease is characterized by the gradual loss of dopamine-producing cells and the presence of Lewy bodies in the brain. Diagnosis relies on clinical evaluation, and treatment typically involves pharmaceutical interventions such as levodopa, COMT inhibitors, dopamine agonists, and deep brain stimulation. Additionally, advancements in technology offer promising avenues for objective symptom assessment and personalized treatment approaches. Conclusion: The management of Parkinson's disease requires a multidisciplinary approach, integrating traditional pharmacological treatments with emerging technologies and complementary therapies like dance therapy, tai chi, and speech therapy. By combining these diverse modalities, healthcare professionals can provide more effective and personalized care, ultimately enhancing the quality of life for individuals living with Parkinson's disease. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index