Evaluating the Diagnostic Potential of Combined Salivary and Skin Biomarkers in Parkinson’s Disease

Author:

Costanzo Matteo12ORCID,Galosi Eleonora1,De Bartolo Maria Ilenia3ORCID,Gallo Gaetano4ORCID,Leodori Giorgio13ORCID,Belvisi Daniele13,Conte Antonella13ORCID,Fabbrini Giovanni13,Truini Andrea1,Berardelli Alfredo13,Vivacqua Giorgio5

Affiliation:

1. Department of Human Neuroscience, Sapienza University of Rome, Viale dell’Università 30, 00185 Rome, Italy

2. Department of Neuroscience, Istituto Superiore di Sanità, Viale Regina Elena 299, 00161 Rome, Italy

3. IRCCS Neuromed, Via Atinense 18, 86077 Isernia, Italy

4. Unità Operativa Complessa Neurologia, Ospedali Riuniti Padova Sud, Via Albere 30, 35043 Padova, Italy

5. Department of Experimental Morphology and Microscopy-Integrated Research Center (PRAAB), Campus Biomedico University of Rome, 00128 Rome, Italy

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.

Publisher

MDPI AG

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