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Background: Unruptured intracranial aneurysms (IAs) are increasingly detected due to advancements in neuroimaging. Despite improvements in treatment, aneurysmal subarachnoid haemorrhage (aSAH) is associated with high mortality and morbidity. Treatment decisions for IA are complex and individualized, considering aneurysm and patient-related risk factors. Genetic factors, particularly endothelial nitric oxide synthase (eNOS) polymorphisms, have been implicated in IA formation and rupture risk.
Methods: This study investigated the association between three eNOS polymorphisms (27-bp-VNTR, T786C, and G894T) and aSAH in a cohort of 275 patients with unruptured IA or aSAH. Patients were followed for at least 8 years with clinical and imaging assessments. Genotyping of selected polymorphisms was performed, and statistical analyses were conducted to identify interactions between genetic polymorphisms and established risk factors.
Results: A significant difference in the frequencies of genotypes and allele carriers of the T786C polymorphism was observed between patients with unruptured IA and those with aSAH, with an increased proportion of CC homozygotes in the aSAH group. The risk of rupture was higher in patients with the CC genotype. Multilobular aneurysms and those located in the posterior circulation had a higher incidence of rupture. Associations between arterial hypertension and certain genotypes were also found. However, no significant interaction was observed between the polymorphisms and established risk factors in relation to aneurysm rupture.
Conclusion: Our data showed a significant and independent correlation between eNOS genetic polymorphism T786C and aSAH.
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http://dx.doi.org/10.1515/tnsci-2025-0368 | DOI Listing |
Genome Biol
September 2025
Center for Genomic Medicine, Cardiovascular Research Center, , Massachusetts General Hospital Simches Research Center, 185 Cambridge Street, CPZN 5.238,, Boston, MA, 02114, USA.
Background: Rare genetic variation provided by whole genome sequence datasets has been relatively less explored for its contributions to human traits. Meta-analysis of sequencing data offers advantages by integrating larger sample sizes from diverse cohorts, thereby increasing the likelihood of discovering novel insights into complex traits. Furthermore, emerging methods in genome-wide rare variant association testing further improve power and interpretability.
View Article and Find Full Text PDFBiol Lett
September 2025
Department of Biology and Environmental Science, Linnaeus University, Kalmar, Kalmar County, Sweden.
Theory, manipulation experiments and observational studies on biodiversity and ecosystem functioning largely concur that higher intraspecific diversity may increase the overall productivity of populations, buffer against environmental change and stabilize long-term productivity. However, evidence comes primarily from small and short-lived organisms. We tested for effects of genetic diversity on variation in forest growth by combining long-term data on annual individual growth rate (basal area increment (BAI)) with estimates of intrapopulation genetic variation (based on RAD-seq SNPs) for 18 natural pedunculate oak populations.
View Article and Find Full Text PDFSci Prog
September 2025
Xiamen Eye Center and Eye Institute of Xiamen University, School of Medicine, Xiamen, China.
BackgroundGlaucoma is recognized as the second-leading cause of complete blindness in developed countries and a significant contributor to irreversible vision loss worldwide. Understanding the potential genetic links between neurodegenerative diseases, such as Parkinson's disease, and glaucoma is crucial for developing preventive strategies.MethodsThis study utilized data from Genome-Wide Association Studies databases, focusing on European populations without gender restrictions.
View Article and Find Full Text PDFInvest Ophthalmol Vis Sci
September 2025
The University of Leicester Ulverscroft Eye Unit, School of Psychology and Vision Sciences, University of Leicester, Leicester, United Kingdom.
Purpose: To define the genetic architecture of foveal morphology and explore its relevance to foveal hypoplasia (FH), a hallmark of developmental macular disorders.
Methods: We applied deep-learning algorithms to quantify foveal pit depth from central optical coherence tomography (OCT) B-scans in 61,269 UK Biobank participants. A genome-wide association study (GWAS) was conducted using REGENIE, adjusting for age, sex, height, and ancestry.
Clin Respir J
September 2025
Department of Thoracic Surgery, Taizhou Hospital, Taizhou, Zhejiang, China.
Background: Persistent inflammation is a crucial characteristic of idiopathic pulmonary fibrosis (IPF). Gut microbiota (GM) contribute to the occurrence and development of several pulmonary diseases through the "gut-lung axis." The genetic role of GM in IPF and the mediating effect of circulating inflammatory proteins.
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