A randomized clinical trial high-density lipoprotein (HDL) cholesterol uptake capacity (CUC) is reduced in patients with metabolic syndrome (MetS). We have assessed the effect of crocin supplementation on HDL CUC in patients with MetS. Forty-four subjects with MetS were randomly allocated to one of two groups: one group received placebo and the other group received crocin at a dose of 30 mg (two tablets of 15 mg per day) for 8 weeks. Serum biochemical parameters were measured using an AutoAnalyzer BT3000 (BioTechnica). The modified CUC method is a cell free, simple, and high-throughput assay that used to evaluate HDL CUC of serum samples. The decision tree analysis was undertaken using JMP Pro (SAS) version 13. The mean age of the crocin and placebo groups were 38.97 ± 13.33 and 43.46 ± 12.77 years, respectively. There was a significant increase in serum HDL CUC in the crocin group compared to that of the placebo group in patients with MetS (p-value< 0.05). The decision tree analysis showed that serum HDL functionality was more important variable than HDL-C level in predicting patients with hypertension at baseline

Background and Aims The fatty acid‐binding proteins (FABPs) gene polymorphisms are related to several metabolic properties. We investigated the association of SNPs rs2241883 of FABP 1 gene with obesity to evaluate the role of FABP1 gene in the pathogenesis of obesity in the population of MASHAD study cohort. Methods In this cross‐sectional study, 2731 individuals (1883 Obese and 848 nonobese) aged 35 to 65 years old, were enrolled from the Mashhad Stroke and Heart Atherosclerotic Disorder (MASHAD) study cohort. DNA Quantitation was determined using the NanoDrop®‐1000 instrument (NanoDrop‐Technologies). The rs2241883 polymorphisms were genotyped by double ARMs PCR (double amplification refractory mutation system) reactions. Data analysis was carried out using SPSS 22 and a p < 0.05 was set for statistical significance. Results The results showed that after adjusting for confounding factors, subjects having the CC genotype for rs2241883 polymorphism were at a higher risk of BMI ≥ 30 mg/kg2 with OR of 1.79 (CI = 1.05–3.07; p = 0.03) and 1.76 (CI = 1.04–2.99; p = 0.04) comparing with reference group using codominant and dominant models, respectively. Conclusion The results showed that CC genotype for rs2241883 polymorphism is related to an increased risk of the obesity in dominant and codominant models in a population of MASHAD study cohort.