Blazquez, V. (Vanessa)

Filtering

2015 - 20162

Settings

Author search.filters.isAuthorOfPublication.e0953eb7-de54-4f64-bd61-4afc0e2a304b

Search Results

Now showing 1 - 2 of 2
  • Thumbnail Image
    Obesity and ischemic stroke modulate the methylation levels of KCNQ1 in white blood cells
    (Oxford University Press, 2015) Martinez, J.A. (José Alfredo); Gomez-Uriz, A.M. (Ana María); Blazquez, V. (Vanessa); De-Arce, A. (Ana); Milagro-Yoldi, F.I. (Fermín Ignacio); Goyenechea, E. (Estíbaliz); Cordero, P. (Paul); Mansego-Talavera, M.L. (María Luisa); Martinez-Zabaleta, M. (Maite); Abete, I. (Itziar); Campión-Zabalza, J. (Javier); Lopez-de-Munain, A. (Adolfo)
    ABSTRACT Obesity and stroke are multifactorial diseases in which genetic, epigenetic and lifestyle factors are involved. The research aims were, first, the description of genes with differential epigenetic regulation obtained by an “omics” approach in patients with ischemic stroke and, second, to determine the importance of some regions of these selected genes in biological processes depending on the BMI. A case-control study using two populations was designed. The first population consisted of 24 volunteers according to stroke/non-stroke and normal weight/obesity conditions. The second population included 60 stroke patients and 55 controls classified by adiposity. DNA from the first population was analyzed with a methylation microarray, showing 80 CpG sites differentially methylated in stroke and 96 CpGs in obesity, whereas 59 CpGs showed interaction. After validating these data by MassArray Epityper, the promoter region of PM20D1 gene was significantly hypermethylated in stroke patients. One CpG site at CALD1 gene showed an interaction between stroke and obesity. Two CpGs located in the genes WT1 and KCNQ1 were significantly hypermethylated in obese patients. In the second population, KCNQ1 was also hypermethylated in the obese subjects. Two CpGs of this gene were subsequently validated by methylation-sensitive high-resolution melting. Moreover, KCNQ1 methylation levels were associated with plasma KCNQ1 protein concentrations. In conclusion, obesity induced changes in the KCNQ1 methylation pattern which were also dependent on stroke. Furthermore, the epigenetic marks differentially methylated in the stroke patients were dependent on the previous obese state. These DNA methylation patterns could be used as future potential stroke biomarkers.
  • Thumbnail Image
    Association of lifestyle, inflammatory factors, and dietary patterns with the risk of suffering a stroke: A case–control study
    (Taylor & Francis, 2016) De-Arce-Borda, A.M. (Ana María); Blazquez, V. (Vanessa); Zulet, M.A. (María Ángeles); Goyenechea, E. (Estíbaliz); López-de-Munain, A. (Adolfo); Martinez, A. (Alfredo); Abete, I. (Itziar)
    Background: Lifestyle, including dietary patterns, could involve specific factors participating in inflammation that confer a higher risk of suffering a stroke. However, little attention has been apparently given to habitual food consumption in patients suffering a cerebrovascular event. Objective: To assess the influence of dietary habits as well as other lifestyle-related variables on the risk of suffering a stroke. Design: A case–control study was designed. Fifty-one cases (age: 59.1 ± 9.1y.o; BMI; 30.8 ± 3.4 kg/m2 ) and 51 controls (age: 61.1 ± 9.1y.o; BMI; 30.4 ± 3.6 kg/m2 ) were enrolled in the study. Anthropometric and body composition variables were measured. Dietary information was obtained from a validated food frequency questionnaire. Physical activity and lifestyle-related factors were assessed. Blood samples were drawn. Results: Patients suffering a stroke showed higher prevalence of diabetes (30 vs. 7.7%; P = 0.020) and hypertension (74.5 vs. 40.3%; P < 0.001) and were less physically active (36.7 vs. 66.6%; P = 0.024) than controls. Patients registered worse glucose and lipid profiles, higher levels of hepatic biomarkers, and higher blood cell counts than controls. Stroked patients showed lower adherence to a statistically derived healthy dietary pattern than controls (23.5 vs. 42.3%; P = 0.017). A logistic regression model was built up considering hypertension, diabetes, smoking, physical activity, adherence to a ‘healthy dietary pattern’ and C-reactive protein concentration. The final model strongly associated with the risk of suffering a stroke (R2 : 44.6%; Pmodel < 0.0001). Conclusion: Lifestyle variables such as physical activity, smoking habit, and a dietary pattern including foods with low inflammatory potential play an important role in the reduction of the risk of suffering a stroke.