ArticleMolecular neurobiology2019
MTOR Pathway-Based Discovery of Genetic Susceptibility to L-DOPA-Induced Dyskinesia in Parkinson's Disease Patients.
Article in Molecular neurobiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.
- A Systematic Review of Parkinson's Disease Pharmacogenomics: Is There Time for Translation into the Clinics?International journal of molecular sciences · 2021Pooled it
- Individualized Bayesian Inference Identifies Novel Genetic Variants for Parkinson's Disease.Genetic epidemiology · 2026Article
- The Association of Wnt Signaling Pathway Gene Variants, Blood Lipoproteins and Cognitive Function in Elderly People.Molecular neurobiology · 2025Article
- Transcriptomic Profile Analysis of Brain Tissue in the Absence of Functional TRPM8 Calcium Channel.Biomedicines · 2024Article
- Integrative identification of hub genes in development of atrial fibrillation related stroke.PloS one · 2023Article
- MiR-33-5p alleviates spinal cord injury in rats and protects PC12 cells from lipopolysaccharide-induced apoptosis.The Kaohsiung journal of medical sciences · 2023Article
- Pharmacogenomics-a New Frontier for Individualized Treatment of Parkinson's Disease.Current neuropharmacology · 2023Review
- Discovery of levodopa-induced dyskinesia-associated genes using genomic studies in patients and Drosophila behavioral analyses.Communications biology · 2022Article
- Platelet miRNA Biosignature Discriminates between Dementia with Lewy Bodies and Alzheimer's Disease.Biomedicines · 2021Article
- Identification of Potential Core Genes in Parkinson's Disease Using Bioinformatics Analysis.Parkinson's disease · 2021Article
- Challenges and Future Prospects of Precision Medicine in Psychiatry.Pharmacogenomics and personalized medicine · 2020Review
- Severity of Dyskinesia and D3R Signaling Changes Induced by L-DOPA Treatment of Hemiparkinsonian Rats Are Features Inherent to the Treated Subjects.Biomolecules · 2019Article
- Balancing mTOR Signaling and Autophagy in the Treatment of Parkinson's Disease.International journal of molecular sciences · 2019Review
- The Rodent Models of Dyskinesia and Their Behavioral Assessment.Frontiers in neurology · 2019Review
Corrections and comments
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Authors and funding
8 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Dyskinesia induced by L-DOPA administration (LID) is one of the most invalidating adverse effects of the gold standard treatment restoring dopamine transmission in Parkinson's disease (PD). However, LID manifestation in parkinsonian patients is variable and heterogeneous. Here, we performed a candidate genetic pathway analysis of the mTOR signaling cascade to elucidate a potential genetic contribution to LID susceptibility, since mTOR inhibition ameliorates LID in PD animal models. We screened 64 single nucleotide polymorphisms (SNPs) mapping to 57 genes of the mTOR pathway in a retrospective cohort of 401 PD cases treated with L-DOPA (70 PD with moderate/severe LID and 331 with no/mild LID). We performed classic allelic, genotypic, and epistatic analyses to evaluate the association of individual or combinations of SNPs with LID onset and with LID severity after initiation of L-DOPA treatment. As for the time to LID onset, we found significant associations with SNP rs1043098 in the EIF4EBP2 gene and also with an epistatic interaction involving EIF4EBP2 rs1043098, RICTOR rs2043112, and PRKCA rs4790904. For LID severity, we found significant association with HRAS rs12628 and PRKN rs1801582 and also with a four-loci epistatic combination involving RPS6KB1 rs1292034, HRAS rs12628, RPS6KA2 rs6456121, and FCHSD1 rs456998. These findings indicate that the mTOR pathway contributes genetically to LID susceptibility. Our study could help to identify the most susceptible PD patients to L-DOPA in order to prevent the appearance of early and/or severe LID in a future. This information could also be used to stratify PD patients in clinical trials in a more accurate way.
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