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March 26, 2026Global Journal of Medical Pharmaceutical and Biomedical UpdateOpen Access

Decoding Parkinson’s Disease through Behavioral Profiling and Plasma Biomarkers: A Clinical Approach to Differential Diagnosis and Prognosis

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Authors

RRohitSSSukhwinder Singh

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Overview

Clinical approach identifies behavioral and plasma markers for diagnosing and predicting outcomes in Parkinson’s disease, highlighting the significance of immune signatures.

Key Points

  • This research aims to differentiate Parkinson’s disease from Stiff-person syndrome using behavioral and plasma biomarkers, while examining prognostic factors.
  • Prospective enrollment of 133 Parkinson’s disease participants from a medical college.
  • Standardized evaluations using UPDRS and PD-CFRS at baseline and follow-ups.
  • Quantification of plasma biomarkers including Clusterin and anti-CCP antibody via enzyme-linked immunosorbent assay.
  • Correlation and hierarchical regression analyses to examine relationships and prognostic trajectories.
  • Significant declines in clinical domains across follow-ups (P < 0.001 for UPDRS scores).
  • Plasma Clusterin concentrations decreased from 125.68 to 115.16 µg/mL (P < 0.001).
  • Anti-CCP antibody levels declined significantly; anti-GAD antibody levels remained unchanged.
  • Moderate positive correlation found between anti-CCP concentrations and UPDRS-CF scores (r = 0.30).
  • Baseline UPDRS scores independently predicted cognitive decline post-treatment.

Cite This Study

Rohit et al. (2026) studied this question.

synapsesocial.com/papers/69c4cdb6fdc3bde44891a5afhttps://doi.org/10.25259/gjmpbu_70_2025
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