SCIENTIFIC HUB

Follow the evidence.

SCIENTIFIC LITERATURE · PPR

Longitudinal relationships between non-motor symptoms and biomarkers as a function of motor symptom asymmetry in early Parkinson’s disease

· 2023-01-04

DOI: 10.21203/rs.3.rs-2400892/v1

Check source for accessPreprintOriginal source ↗

Research overview

The text below is the source article’s original abstract under a verified reuse license. cc by

Abstract Motor symptom asymmetry, a key feature of Parkinson’s disease, has been associated with differences in non-motor symptoms, such as cognitive and neuropsychiatric impairments, and in biomarker profiles. However, the longitudinal relationship between biomarkers and non-motor symptoms as a function of motor symptom asymmetry remains to be fully explored in early-stage patients. Clinical data from the Parkinson’s Progression Marker Initiative was extracted from 179 patients showing predominantly left-sided motor symptoms and 234 patients showing predominantly right-sided motor symptoms during a 3-year follow-up. General estimating equations revealed differential relationships over time between biospecimen and cognitive-neuropsychiatric scores based on motor symptom asymmetry. A more important implication of uric acid and beta-amyloid was noted in patients with predominantly left-sided motor symptoms, whereas patients with predominantly right-sided motor symptoms showed associations with alpha-synuclein and phosphorylated-tau levels. In summary, asymmetry of motor symptoms influences clinical trajectories in early-stage patients, holding important implications for symptom management in this clinical population.

Scientific assessment

01

Research question

Assess the question within the original study’s scope.

02

Methods & sample

Check the source article for study design and sample details.

03

Key findings

An editorially approved findings summary is not yet published for this record.

04

Limitations

Generalizability, bias and clinical meaning require separate assessment.

Methods, samples and clinical conclusions are not inferred from bibliographic metadata.