Using Extracellular miRNA Signatures to Identify Patients with LRRK2-Related Parkinson’s Disease
biorxiv(2024)
摘要
Background Mutations in the Leucine Rich Repeat Kinase 2 gene are highly relevant in both sporadic and familial cases of Parkinson’s disease. Specific therapies are entering clinical trials but patient stratification remains challenging. Dysregulated microRNA expression levels have been proposed as biomarker candidates in sporadic Parkinson’s disease.
Objective In this proof-of concept study we evaluate the potential of extracellular miRNA signatures to identify LRRK2-driven molecular patterns in Parkinson’s disease.
Methods We measured expression levels of 91 miRNAs via RT-qPCR in ten individuals with sporadic Parkinson’s disease, ten LRRK2 mutation carriers and eleven healthy controls using both plasma and cerebrospinal fluid. We compared miRNA signatures using heatmaps and t-tests. Next, we applied group sorting algorithms and tested sensitivity and specificity of their group predictions.
Results miR-29c-3p was differentially expressed between LRRK2 mutation carriers and sporadic cases, with miR-425-5p trending towards significance. Individuals clustered in principal component analysis along mutation status. Group affiliation was predicted with high accuracy in the prediction models (sensitivity up to 89%, specificity up to 70%). miRs-128-3p, 29c-3p, 223-3p and 424-5p were identified as promising discriminators among all analyses.
Conclusions LRRK2 mutation status impacts the extracellular miRNA signature measured in plasma and separates mutation carriers from sporadic Parkinson’s disease patients. Monitoring LRRK2 miRNA signatures could be an interesting approach to test drug efficacy of LRRK2-targeting therapies. In light of small sample size, the suggested approach needs to be validated in larger cohorts.
### Competing Interest Statement
The authors have declared no competing interest.
* CSF
: Cerebrospinal fluid
CtCSF
: Ct values from CSF dataset
Ctmultiplied
: multiplied Ct values from CSF and plasma dataset
Ctplasma
: Ct values from plasma dataset
Fc
: Fold change
GO
: Gene Ontology
HC
: Healthy control
LASSO
: least absolute shrinkage and selection operator
LEDD
: levodopa equivalent daily dose
Log2fc
: log2(Fold change)
LOOCV
: Leave-One-Out Cross-Validation
LRRK2
: Leucine-Rich Repeat Kinase 2
LRRK2MC
: LRRK2 mutation carrier
miRNA
: microRNA
MoCA
: Montreal Cognitive Assessment
PCA
: Principal component analysis
PD
: Parkinson’s disease
qPCR
: real-time quantitative PCR
RF
: Random Forest
RT
: Reverse transcription
sPD
: sporadic PD
UPDRS
: Unified Parkinson Disease Rating Scale
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