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Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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Pathophysiology to Treatment: A Comprehensive Overview of Parkinson's Disease

Authors: Ragunathan Muthuswamy; Hema Siva Sangari M; Subiksha Sesin, M.K; Vaishali, P; Vasumathi, T; Vaishnavi Bhaskar Patil; Ranil Ramana R;

Pathophysiology to Treatment: A Comprehensive Overview of Parkinson's Disease

Abstract

Abstract:Parkinson’s disease (PD) is a chronic and progressive neurodegenerative disorder primarily affecting motor function, accompanied by a broad range of non-motor symptoms. It is the second most prevalent neurodegenerative disease after Alzheimer’s and predominantly impacts individuals above 60 years of age. The hallmark feature of PD is the loss of dopaminergic neurons in the substantia nigra, along with the accumulation of Lewy bodies composed of α-synuclein protein aggregates. Clinically, PD is characterized by bradykinesia, resting tremors, rigidity, and postural instability, in addition to cognitive decline, sleep disturbances, and autonomic dysfunction in advanced stages. While current pharmacological and surgical treatments such as levodopa and deep brain stimulation (DBS) provide symptomatic relief, they do not arrest disease progression. Recent advancements in genetics, biomarker discovery, and neuroimaging are paving the way for disease-modifying therapies. This review aims to consolidate recent findings related to PD's epidemiology, pathophysiology, clinical features, diagnostic methods, and therapeutic interventions, including plant-derived compounds and emerging strategies.

Keywords

Parkinson's disease, neurodegeneration, α-synuclein, dopaminergic neurons, motor symptoms, levodopan.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green