Previous investigations exploring the effects of orange juice (OJ) as a nutrient-dense beverage on cardiovascular risk factors were inconsistent. We aimed to conduct a systematic review and meta-analysis of randomized controlled clinical trials to determine the effectiveness of OJ intake on major cardiometabolic markers including anthropometric indices, blood pressure, lipid profile, inflammation, and glycemic control markers.PubMed, Scopus, and ISI Web of Science were searched from inception until January 2021. Fifteen eligible trials with 639 participants were included in the present study.The meta-analysis showed that OJ intake significantly reduces circulating total cholesterol levels (10 trials; weighted mean difference [WMD] = À6.84 mg/dl; 95% CI: À12.38 to À1.29; p = .01) and homeostatic model assessment for insulin resistance (four trials; WMD = À0.39, 95% CI: À0.77 to À0.006; p = .04) compared to control group. The analyses failed to reveal a significant effect of OJ intake on other cardiometabolic risk factors (p > .05). This review suggests that the intake of OJ might be associated with improved serum total cholesterol and insulin sensitivity. Due to lowto-moderate quality of meta-evidence, our results must be interpreted with caution and more well-designed studies are still needed to confirm the current findings.

Aim: Evidence indicates there are still conflicts regarding CETP Taq1B polymorphism and coronary artery disease risk factors. Current knowledge about whether dietary patterns can change the relationship of the Taq1B on lipid profile and the severity of coronary arteries stenosis is limited. Present research aimed to investigate this hypothesis. Methods: This cross-sectional study involved 453 male and female participants, with a mean age of 57 years. A validated 178-item food frequency questionnaire ( FFQ ) used to assess dietary usual intake. Dietary patterns extracted through principal component analysis (PCA). Taq1B variant genotyped by the polymerase chain reaction-restriction fragment length polymorphism method. Two-way ANOVA was used to test the interaction between Taq1B polymorphism and dietary patterns. Results: Two dietary patterns were detected: the western dietary pattern (WDP) and the traditional dietary pattern (TDP). The frequency of Taq1B genotypes was 10.4, 72.4, and 17.2% for B1B1, B1B2, and B2B2, respectively. Carriers of the B2 allele who adhered highly to either TDP or WDP had lower levels of TG and a lower ratio of TG to HDL-C. Taq1B had a significant interaction with TDP for modulating TG in both unadjusted and adjusted models (P = 0.04 and P = 0.02, respectively), and also in TG/HDL-C ratio in the adjustment model (P = 0.04). No significant difference or interaction observed in the other variables among Taq1B genotypes and diets. Conclusion: TDP may alter the relationship between CETP Taq1B and TG and TG/HDL among subjects under coronary angiography. Longitudinal and interventional studies suggest for a better understanding of the role of diets and Taq1B variant in cardio-metabolic risk factors.

Background: Several studies have assessed the association of the cholesterol ester transfer protein (CETP) (rs708272) TaqIB gene polymorphism with risk factors of CVDs; however, their results are inconsistent. The current study investigated the relationship between CVD risk factors and the Taq1B variant in a population from Iran that was undergoing coronary angiography. Methods: This cross-sectional study was conducted on 476 subjects aged (30-76) years of both sexes. Genotypes for Taq1B polymorphism were determined by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) using extracted DNA from whole blood. Cardio-metabolic markers were measured by standard protocols. To determine the association between CVDs risk factors and the rs708272 variant, binary logistic regression was used in crude and adjusted models. Results: Genotype frequencies of the Taq1B polymorphism were 10.7% for B1B1, 72.3% for B1B2, and 17% for B2B2. No significant association was observed between abnormal levels of CVDs risk factors and different genotypes of the Taq1B variant, Gensini score (p= 0.64), Syntax score (p = 0.79), systolic blood pressure (p = 0.55), diastolic blood pressure (p = 0.58), waist circumference (p = 0.79). None of the abnormal serum levels were related to genotypes of the rs708272 variant. Results remained not significant after adjusting for confounders. Conclusion: Risk factors for CVDs were not associated with CETP rs708272 polymorphism in our population. Various findings reported in different populations that it suggested more studies in various regions in connection with CETP gene variants which are linked to CVD events.

Background: In the world, the main cause of mortality and morbidity is cardiovascular diseases (CVDs). Genetic and environmental factors are involved in the pathogenesis of diseases. Recently, reports have indicated that the NFKB1 gene rs28362491 is a functional polymorphism. The aim of the study was to investigate between the genotype of the NFKB1 gene and the cardiometabolic risk factor in patients undergoing coronary angiography. Methods and materials: This cross-sectional study was conducted on 462 patients who referred to Afshar Hospital for coronary angiography in 2021-2022. The polymerase chain reaction restriction fragment length polymorphism method was used to detect the genotype of rs28362491. Biochemical parameters were measured using commercial kits. Gensini and Syntax scores were calculated using the angiography result to assess the extent of coronary artery stenosis. Multivariate logistic regression analysis was used to study between cardiometabolic risk factors and genotype variants. Results: The frequencies of the ins/ins, ins/del and del/del genotypes were 31.7%, 52.9% and 18.5%, respectively. Variant genotypes were not associated with the likelihood of having abnormally high serum alanine aminotransferase (ALT) (p-value = 0.51), aspartate aminotransferase (AST) (p-value = 0.99), Gensini score (p-value = 0.48) and syntax score (p-value = 0.74) in the crude model even after adjustment for confounding factors. There was no association between NFKB1 gene genotypes and possible hypertension and lipid profile. Conclusion: The ATTG polymorphism was not associated with cardiometabolic risk factors in the patients undergoing coronary angiography. Further investigations are needed to assess the association between variants of 28362491 and cardiometabolic markers.