[Proteomic biomarkers in Parkinson's disease]

Area of Science:

• Neuroscience
• Biochemistry
• Genetics

Background:

• Parkinson's disease (PD) is a neurodegenerative disorder primarily affecting motor function due to dopaminergic neuron loss.
• Current clinical diagnosis of PD has a high error rate (10-30%), often occurring at advanced stages.
• The need for early diagnostic biomarkers is critical for timely intervention and distinguishing PD from parkinsonisms.

Purpose of the Study:

• To conduct a comprehensive review of candidate proteomic biomarkers for Parkinson's disease.
• To analyze recent literature on proteins measurable in peripheral tissues as potential PD biomarkers.
• To highlight biomarkers for early diagnosis, disease monitoring, and therapeutic assessment.

Main Methods:

• Literature review of recent scientific publications.
• Analysis of studies investigating proteomic biomarkers in peripheral tissues.
• Focus on candidate proteins linked to PD-associated genetic mutations and risk factors.

Main Results:

• Identified several candidate proteomic biomarkers from recent research.
• Discussed the potential of these biomarkers for early PD detection.
• Highlighted the role of genetic factors in suggesting peripheral protein targets.

Conclusions:

• Proteomic biomarkers in peripheral tissues hold promise for early and accurate Parkinson's disease diagnosis.
• Further validation of sensitivity and specificity is required for clinical application.
• Biomarkers could aid in disease progression tracking and evaluating new treatments.