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Review
. 2025 Jan;32(1):51-57.
doi: 10.1177/09727531231200733. Epub 2023 Nov 1.

From Diagnosis to Treatment: A Comprehensive Review of Biomarkers and Therapeutic Advances in Parkinson's Disease

Affiliations
Review

From Diagnosis to Treatment: A Comprehensive Review of Biomarkers and Therapeutic Advances in Parkinson's Disease

Hussain Sohail Rangwala et al. Ann Neurosci. 2025 Jan.

Abstract

Background: Parkinson's disease (PD) is a progressive neurodegenerative disorder characterized by the loss of dopaminergic neurons, resulting in motor symptoms. Ongoing research shows promise for long-term solutions.

Summary: Studies highlight the dysregulation of Syt11 and α-synuclein (α-syn) in PD. Disrupted α-syn homeostasis due to palmitoylation of Syt11 contributes to its aggregation, potentially playing a role in PD pathology. α-synuclein aggregates in stool samples show promise as an early diagnostic biomarker. Vocal impairments in PD may be linked to α-syn-induced neuropathology. Irisin, produced after exercise, promotes the degradation of pathologic α-syn. Progress has been made in identifying PD biomarkers. Retinal thinning and abnormal protein aggregates in skin biopsies provide noninvasive diagnostic indicators. Blood-based biomarkers like α-syn, DJ-1, and LRRK2 hold promise but face limitations. Artificial intelligence (AI) models enhance mitophagy, detect PD through sleep-breathing signals, and improve survival. AI analysis aids noninvasive assessment and risk prediction. Further understanding of PD involves studying pathological seeds and genetic mutations. Adenosine receptor regulation relates to early-onset PD, and specific gene mutations impact patient survival. Differentiated-induced pluripotent stem cells offer the potential for cell replacement therapy. Autoimmune features and T-cell involvement suggest intervention targets. Stem cell-based therapies and neurostimulation strategies show promise for improving motor function. Imaging reveals increased central inflammation in PD, suggesting an inflammatory role. Machine learning algorithms and home gait speed monitoring aid in diagnosis and disease progression tracking. Abnormal putamen gradients reflect dopaminergic loss and motor dysfunction. Antiepileptic drug prescriptions are associated with an increased PD risk. Personalized medicine, gut-brain axis involvement, and vestibular stimulation therapy offer potential PD treatment avenues. Genetic engineering techniques and deep brain stimulation show promise for alleviating PD symptoms.

Key message: Ongoing research and technological advancements promise to improve PD screening, diagnosis, and treatment, bringing hope to affected individuals.

Keywords: DJ-1; LRRK2; Parkinson’s disease; Syt11 and α-synuclein; artificial intelligence.

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Conflict of interest statement

The authors declared no potential conflicts of interest with respectto the research, authorship, and/or publication of this article.

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