SCIENTIFIC HUB

Follow the evidence.

SCIENTIFIC LITERATURE · MED

Gene expression asymmetry in Parkinson's disease: variation of <i>CCT</i> gene expression is correlated with hemisphere specific severity.

Front Mol Neurosci · 2026-01-13

DOI: 10.3389/fnmol.2025.1743557PMID: 41608591

Open accessresearch-article; Journal ArticleOriginal source ↗

Research overview

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

Parkinson's disease (PD) symptom onset is typically unilateral, which may be related to molecular differences underlying hemispheric vulnerability. Here we sampled prefrontal cortex bilaterally from people with PD and healthy controls and performed RNA-seq on neuronal nuclei to determine hemispheric and disease-related differences. Brain hemispheres were categorized based on whether they corresponded to the side of symptom onset (severe) or the opposite side (moderate) and compared for differences in gene expression. We employed two a priori approaches; first we identified genes differentially expressed between PD and controls and between PD brain hemispheres. Second, we examined the presence of, and correlates to, variations in the asymmetry for some differentially expressed genes. We found large variation among individuals with PD, and so PD stratification by gene expression signature was required for patterns of genetic asymmetry to emerge. For a subset of PD brains, hemispherical variation of CCT gene levels correlated with the side of PD symptom onset. In a mouse model of PD, neurons with α-synuclein inclusions had decreased Cct expression. These results suggest that CCT expression plays a protective role in PD.

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.