RESEARCH PAPER
Skin-Based α-Synuclein Deposits Detection Across the Prodromal Continuum of Synucleinopathies: Updated Evidence and Perspectives.
AI Summary
This review synthesizes evidence that skin biopsy detection of phosphorylated α-synuclein and α-synuclein seed amplification assays can identify pathological peripheral α-synuclein in prodromal synucleinopathies (notably iRBD and PAF), often before nigrostriatal degeneration, and may predict…
Why It Matters
By highlighting a minimally invasive, scalable biomarker for early and preclinical identification and enrichment of at-risk cohorts, the work supports better patient selection and outcome measures for disease‑modifying PD trials and accelerates translational therapeutic development.
Abstract
Parkinson's disease (PD) and associated synucleinopathies are preceded by a prolonged prodromal phase during which neurodegenerative processes evolve years before the onset of motor or cognitive symptoms. Identifying biologically specific and accessible biomarkers during this window is critical for early diagnosis, risk stratification, and the development of disease-modifying therapies. Increasing evidence supports the skin as a key peripheral tissue involved in synucleinopathy, offering a minimally invasive source for in vivo detection of pathological α-synuclein. This review summarizes current evidence on skin-derived biomarkers across the prodromal continuum of PD, with particular emphasis on skin biopsy-based detection of phosphorylated α-synuclein and α-synuclein seed amplification assays (SAAs). Findings in high-risk prodromal phenotypes, including idiopathic REM sleep behavior disorder (iRBD) and pure autonomic failure (PAF), are critically reviewed. Emerging data suggest that cutaneous α-synuclein pathology may precede nigrostriatal dopaminergic degeneration and may predict phenoconversion to overt synucleinopathies. Important knowledge gaps are highlighted, including the lack of data in other prodromal phenotypes such as hyposmia. Overall, skin-based biomarkers appear to represent promising, scalable tools for biological diagnosis, prognostication, and enrichment of prodromal PD cohorts in clinical trials.