đŸ‘€ JosĂ© Vicente SorlĂ­

🔍 Search 📋 Browse đŸ·ïž Tags ❀ Favourites ➕ Add 🧬 Extraction
4
Articles
2
Name variants
Also published as: Jose V SorlĂ­,
articles
Heli Viljakainen, Jose V Sorlí, Emma Dahlström +3 more · 2023 · Scientific reports · Nature · added 2026-04-24
Diet modulates the genetic risk of obesity, but the modulation has been rarely studied using genetic risk scores (GRSs) in children. Our objectives were to identify single nucleotide polymorphisms (SN Show more
Diet modulates the genetic risk of obesity, but the modulation has been rarely studied using genetic risk scores (GRSs) in children. Our objectives were to identify single nucleotide polymorphisms (SNPs) that drive the interaction of specific foods with obesity and combine these into GRSs. Genetic and food frequency data from Finnish Health in Teens study was utilized. In total, 1142 11-year-old subjects were genotyped on the Metabochip array. BMI-GRS with 30 well-known SNPs was computed and the interaction of individual SNPs with food items and their summary dietary scores were examined in relation to age- and sex-specific BMI z-score (BMIz). The whole BMI-GRS interacted with several foods on BMIz. We identified 7-11 SNPs responsible for each interaction and these were combined into food-specific GRS. The most predominant interaction was witnessed for pizza (p < 0.001): the effect on BMIz was b - 0.130 (95% CI - 0.23; - 0.031) in those with low-risk, and 0.153 (95% CI 0.072; 0.234) in high-risk. Corresponding, but weaker interactions were verified for sweets and chocolate, sugary juice drink, and hamburger and hotdog. In total 5 SNPs close to genes NEGR1, SEC16B, TMEM18, GNPDA2, and FTO were shared between these interactions. Our results suggested that children genetically prone to obesity showed a stronger association of unhealthy foods with BMIz than those with lower genetic susceptibility. Shared SNPs of the interactions suggest common differences in metabolic gene-diet interactions, which warrants further investigation. Show less
no PDF DOI: 10.1038/s41598-023-42430-5
SEC16B
Oscar Coltell, Jose V Sorlí, Eva M Asensio +10 more · 2020 · Nutrients · MDPI · added 2026-04-24
Many early studies presented beneficial effects of polyunsaturated fatty acids (PUFA) on cardiovascular risk factors and disease. However, results from recent meta-analyses indicate that this effect w Show more
Many early studies presented beneficial effects of polyunsaturated fatty acids (PUFA) on cardiovascular risk factors and disease. However, results from recent meta-analyses indicate that this effect would be very low or nil. One of the factors that may contribute to the inconsistency of the results is that, in most studies, genetic factors have not been taken into consideration. It is known that fatty acid desaturase ( Show less
📄 PDF DOI: 10.3390/nu12020310
FADS1
Carolina Ortega-Azorín, Jose V Sorlí, Ramón Estruch +18 more · 2014 · Circulation. Cardiovascular genetics · added 2026-04-24
A variant (rs3812316, C771G, and Gln241His) in the MLXIPL (Max-like protein X interacting protein-like) gene encoding the carbohydrate response element binding protein has been associated with lower t Show more
A variant (rs3812316, C771G, and Gln241His) in the MLXIPL (Max-like protein X interacting protein-like) gene encoding the carbohydrate response element binding protein has been associated with lower triglycerides. However, its association with cardiovascular diseases and gene-diet interactions modulating these traits are unknown. We studied 7166 participants in the PREvención with DIeta MEDiterránea trial testing a Mediterranean diet (MedDiet) intervention versus a control diet for cardiovascular prevention, with a median follow-up of 4.8 years. Diet, lipids, MLXIPL polymorphisms, and cardiovascular events were assessed. Data were analyzed at baseline and longitudinally. We used multivariable-adjusted Cox regression to estimate hazard ratios for cardiovascular outcomes. The MLXIPL-rs3812316 was associated with lower baseline triglycerides (P=5.5×10(-5)) and lower hypertriglyceridemia (odds ratio, 0.73; 95% confidence interval [CI], 0.63-0.85; P=1.4×10(-6) in G-carriers versus CC). This association was modulated by baseline adherence to MedDiet. When adherence to MedDiet was high, the protection was stronger (odds ratio, 0.63; 95% CI, 0.51-0.77; P=8.6×10(-6)) than when adherence to MedDiet was low (odds ratio, 0.88; 95% CI, 0.70-1.09; P=0.219). Throughout the follow-up, both the MLXIPL-rs3812316 (P=3.8×10(-6)) and the MedDiet intervention (P=0.030) were significantly associated with decreased triglycerides. Likewise in G-carriers MedDiet intervention was associated with greater total cardiovascular risk reduction and specifically for myocardial infarction. In the MedDiet, but not in the control group, we observed lower myocardial infarction incidence in G-carriers versus CC (hazard ratios, 0.34; 95% CI, 0.12-0.93; P=0.036 and 0.90; 95% CI, 0.35-2.33; P=0.830, respectively). Our novel results suggest that MedDiet enhances the triglyceride-lowering effect of the MLXIPL-rs3812316 variant and strengthens its protective effect on myocardial infarction incidence. URL: www.controlled-trials.com. Unique Identifier: ISRCTN35739639. Show less
no PDF DOI: 10.1161/CIRCGENETICS.113.000301
MLXIPL
Francesc Francés, Dolores Corella, José Vicente Sorlí +3 more · 2005 · Clinical chemistry · added 2026-04-24
no PDF DOI: 10.1373/clinchem.2005.049676
APOA5