Skip to content
Review Open access

Prodromal Recognition of Non-Motor Symptoms and Biomarkers in Parkinson's Disease

Jul 2026 · Theoretical and Natural Science · Vol 182, pp. 31-36 · 0 citations

TL;DR

This review summarizes the application value of non-motor symptoms (NMS) and their biomarkers in prodromal identification and indicates that while iRBD and CSF α-syn seed amplification assay offer strong predictive value, no single modality suffices for reliable prodromal screening.

Abstract

The diagnosis of Parkinson's disease (PD) is often delayed due to over-reliance on motor manifestations, despite the fact that pathological changes including abnormal aggregation of alpha-synuclein (α-syn) and progressive dopaminergic neuronal loss in the substantia nigra pars compacta begin years before overt symptoms emerge. This interval, termed the prodromal phase, represents a critical window for potential intervention. This review summarizes the application value of non-motor symptoms (NMS) and their biomarkers in prodromal identification. Evidence on four NMS categories, namely isolated rapid eye movement sleep behavior disorder (iRBD), autonomic dysfunction, sensory impairment, and neuropsychiatric symptoms, is synthesized. Fluid biomarkers including cerebrospinal fluid (CSF) α-syn seed amplification assay, plasma proteins, and urine proteins, as well as neuroimaging tools including magnetic resonance imaging striatal metrics and meta-iodobenzylguanidine scintigraphy, are evaluated. The findings indicate that while iRBD and CSF α-syn seed amplification assay offer strong predictive value, no single modality suffices for reliable prodromal screening. A multi-modal strategy combining clinical symptoms, fluid markers, and imaging data appears more promising. By consolidating dispersed evidence across subspecialties, this review aims to offer clinicians and researchers an integrated reference for selecting and refining early detection strategies.

Read PDF

Similar papers

Review Open access Jul 2026

Neurons to Genes A Comprehensive Review of Parkinson’s Disease

The urgent need for reliable biomarkers, early diagnosis, and multidisciplinary disease-modifying strategies for future therapeutic interventions is highlighted, with particular emphasis on challenges associated with bench-to-bedside translation.

Jeewanjot Singh, Subhi Sharma, Prabhjot Singh et al. · 0 citations
Review Open access Aug 2026

The Role of Olfactory Testing in Detecting Prodromal Phase Parkinson’s Disease: A Literature Review

Brief olfactory assessments, particularly those tailored to regional and cultural settings, serve as highly effective, cost-efficient, and non-invasive screening instruments for prodromal PD detection within routine neurogeriatric clinical practice.

Anastasia Ezragitha Soligaon Pasaribu, Melya Arianti Umbul · 0 citations
Review Open access Jul 2026

Overlapping pathological features of Alzheimer’s and Parkinson’s diseases: Clinical implications and future directions for improving diagnostic precision

This article explores these overlapping features, including memory and executive function deficits, neuropsychiatric symptoms such as depression and apathy, and motor signs like bradykinesia and rigidity, and discusses the diagnostic challenges arising from these overlaps.

Nur Batrisyia binti Nizam, N. N. Nik Ramli, Nur Athirah Azlan et al. · 0 citations
Review Open access Jul 2026

From clinical phenotypes to molecular precision: multimodal biomarkers for progressive supranuclear palsy

It is concluded that the shift from clinical-only diagnostic criteria to a biomarker-enabled molecular framework is the necessary catalyst for developing effective disease-modifying therapies for PSP and related 4R-tauopathies.

Glenn A. Harris, Lymor Barnhard, Jennifer L. Brummet et al. · 0 citations
Open access Aug 2026

Structural, functional and neurochemical imaging mapping of non-motor symptoms in Parkinson’s disease

It is demonstrated that the brain networks associated with RBD, depression and anxiety non-motor symptoms were largely overlapping, involved the attention networks and were spatially aligned with the noradrenergic system, suggesting that these symptoms may have shared neurobiological substrates.

Chiara Camastra, Aldo Quattrone, A. Quattrone · 0 citations
Review Sep 2026

Parkinson's disease diagnosis using machine learning and multimodal biomarkers: A systematic review.

Multimodal fusion architectures, particularly cross-attention transformers integrating motor, voice, and gait data, consistently outperformed unimodal approaches by 4%-8% in the area under the receiver operating characteristic curve (AUC), with the largest gains in early stage detection and differential diagnosis tasks...

Muhammad Imran Khan, A. Imran, A. Alshammari · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.