ArticleInternational journal of molecular sciences2024
Evaluating the Diagnostic Potential of Combined Salivary and Skin Biomarkers in Parkinson's Disease.
Article in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Body Fluid-based Biomarkers for Cognitive Impairment in Parkinson's Disease.Annals of neurosciences · 2026Review
- Article
- Towards a Biologically Defined Diagnosis: Incorporating Pathophysiological Measures Into Parkinson's Disease Clinical Criteria.Parkinson's disease · 2026Review
- Longitudinal Study of Salivary Biomarkers in the Definition of Clinico-Molecular Progression of Parkinson's Disease.Annals of clinical and translational neurology · 2026Article
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Authors and funding
11 authors.
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Abstract
Oligomeric alpha-synuclein (α-syn) in saliva and phosphorylated α-syn deposits in the skin have emerged as promising diagnostic biomarkers for Parkinson's disease (PD). This study aimed to assess and compare the diagnostic value of these biomarkers in discriminating between 38 PD patients and 24 healthy subjects (HSs) using easily accessible biological samples. Additionally, the study sought to determine the diagnostic potential of combining these biomarkers and to explore their correlations with clinical features. Salivary oligomeric α-syn levels were quantified using competitive ELISA, while skin biopsies were analyzed through immunofluorescence to detect phosphorylated α-syn at Ser129 (p-S129). Both biomarkers individually were accurate in discriminating PD patients from HSs, with a modest agreement between them. The combined positivity of salivary α-syn oligomers and skin p-S129 aggregates differentiated PD patients from HSs with an excellent discriminative ability with an AUC of 0.9095. The modest agreement observed between salivary and skin biomarkers individually suggests that they may reflect different aspects of PD pathology, thus providing complementary information when combined. This study's results highlight the potential of utilizing a multimodal biomarker approach to enhance diagnostic accuracy in PD.
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