HMGCR genetic variability in Parkinson’s disease in a Spanish cohort: associations with lipid metabolism and early onset
Year: 2025
Type: article
Study design: Observational Study
Abstract: Lipid metabolism has emerged as a key factor in the pathophysiology of Parkinson's disease (PD). While 3-hydroxy-3-methylglutaryl-coenzyme A reductase (HMGCR), the rate-limiting enzyme in cholesterol biosynthesis, has been implicated in neurodegenerative disorders, such as Alzheimer disease, its role in PD remains unexplored. Given the shared pathological features between these neurodegenerative disorders (such as lysosomal dysfunction and lipid dysregulation) we hypothesized that HMGCR genetic variability could influence PD susceptibility and/or phenotypic expression, particularly in early-onset cases (EOPD). Therefore, we performed targeted sequencing of HMGCR in 1162 Spanish PD patients and analyzed associations with PD risk or age at onset. Replication was attempted in 436 PD cases from Parkinson's Progression Markers Initiative (PPMI). We identified 21 HMGCR variants, including a likely pathogenic variant affecting the splice site of exon 4 (c.278-1G > A) in a patient with early-onset PD (EOPD), rapid progression, and severe dyslipidemia. The rs5908 variant was significantly associated with EOPD in our cohort (OR = 2.22, p = 0.025). Further analysis revealed rs5908 is in linkage disequilibrium with rs115169875, an intronic variant with putative regulatory impact. Our findings nominate HMGCR as a candidate gene for PD development, particularly in early-onset cases. The metabolic profile of the c.278-1G > A carrier parallels GBA-associated PD, suggesting convergent lipid-lysosomal pathways in neurodegeneration. While cohort differences highlight population-specific genetic effects, these findings underscore the importance of lipid pathways in PD and the need to explore HMGCR's role in PD subtypes with metabolic comorbidity.
Source: Journal of Neurology
Language: English
Subfield: Neurology
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $4,790
Funders: Universidad de Sevilla, Ministerio de Ciencia, Innovación y Universidades, European Commission, Consejería de Economía, Innovación, Ciencia y Empleo, Junta de Andalucía, Ministerio de Educación, Cultura y Deporte, Ministerio de Ciencia e Innovación, Universidad Carlos III de Madrid, Junta de Andalucía, Servicio Andaluz de Salud, Consejería de Salud y Bienestar Social, Junta de Andalucía, Allergan, Instituto de Salud Carlos III
Awards: G1075404386, Estudio de los genes implicados en la enfermedad de Parkinson mediante la secuenciación del exoma, DEscifrando la Enfermedad de Parkinson en la era gENómica: proyecto DEEPEN, G1966859444, G1996148040, G2774975488, Búsqueda de marcadores genéticos de utilidad asociados al desarrollo de la EP mediante técnicas de secuenciación masiva, G3364708165, G338786417, G3559709381, Estudio integral de los biomarcadores implicados en el desarrollo y evolución de la enfermedad de Parkinson, G4876785651, G4883035404, G5011677817, G519112762, G5448593932, Identificación de BIomarcadores de enfermedad de PARkinson para una medicina personalizada (IBiPar), G5876131199, Caracterización molecular y neurofisiológica de fenotipos intermedios asociados al trastorno del control de impulsos en la enfermedad de Parkinson, G6700511862, G6798676843, G6998522072, G7032815443, G8534857307
OpenAlex ID: W4414755372
