PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
May 29, 2026Personalized Medicine1 citations

Association between microRNA 155 gene polymorphism and sporadic Parkinson’s disease

View Full Paper
SLSiwei LuoAffiliated Hospital of Southwest Medical UniversityJLJinrong LiAffiliated Hospital of Southwest Medical UniversityYZYu ZhangCommunity Health Center

Key Points

Key points are not available for this paper at this time.

Abstract

INTRODUCTION: The functional single nucleotide polymorphism (SNP) rs767649 in the miR-155 gene has been linked to other neurological disorders, but its association with sporadic Parkinson's disease (PD) remains unclear. METHODS: The rs767649 SNP was genotyped via TaqMan assay. Serum miR-155 levels were measured by RT-qPCR. Statistical analyses included ROC analysis for assessing diagnostic value, Pearson correlation analysis with clinical scores (UPDRS-III, H-Y staging, MoCA), and logistic regression for identifying risk factors of PD. RESULTS: The miR-155 rs767649 A allele served as a protective factor against PD, with AA homozygotes showing the lowest risk. The TT genotype was associated with elevated serum miR‑155, greater motor impairment (UPDRS‑III, H‑Y stage), and reduced cognitive function (MoCA) in PD patients when compared to TA or AA carriers. In PD patients, elevated serum miR-155 levels correlated with disease severity, distinguished patients from healthy controls, and emerged as an independent risk factor for PD. CONCLUSION: The miR-155 rs767649 polymorphism might affect PD susceptibility, and its A allele potentially exerted a protective effect against PD in Han Chinese population. Elevated miR-155 levels appear to be correlated with disease severity and may be an independent risk factor, suggesting its potential as a biomarker for PD diagnosis.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Luo et al. (2026) studied this question.

synapsesocial.com/papers/6a1c4b991567d2fc4d5fe552https://doi.org/10.1080/17410541.2026.2678221
Ask AI
Helpful
Bookmark
Share
View Full Paper