Prevalence of Metabolic Syndrome and Associations with Lipid Profiles in Iranian Men: A Population-Based Screening Program

PURPOSE: Metabolic syndrome (MS) is characterized by a collection of interdependent disorders, including abdominal obesity, dyslipidemia, hyperglycemia, hypertension, and diabetes. The current study aimed to estimate the prevalence of MS in Qom, Iran. MATERIALS AND METHODS: A population-based screening program was conducted in the city of Qom, in 845 urban adult men over 25 years old in 2014. Abdominal obesity, fasting blood glucose (FBG), blood pressure, and the serum lipid profile were measured in subjects after fasting for at least 8 hours. MS was defined according to the Adult Treatment Panel III criteria. Data were analyzed using the chi-square test, t-test, and multiple logistic regression. RESULTS: The overall prevalence of MS was 23.0%, and the most common prevalent metabolic abnormalities associated with MS were low high-density lipoprotein cholesterol (102 cm in 33.9%, blood pressure ≥130/85 mmHg in 27.6%, fasting triglycerides (TG) ≥150 mg/dL in 25%, and FBG ≥110 mg/dL in 20.6%. A FBG level ≥110 mg/dL (odds ratio [OR]=4.85; 95% confidence interval [CI], 2.14~8.24), dyslipidemia (OR=3.51; 95% CI, 2.10~5.89), and a fasting TG ≥150 mg/dL were the most important factors contributing to MS. CONCLUSIONS: The prevalence of MS in men in Qom was higher than has been reported in other countries, but it was lower than the mean values that have been reported elsewhere in Iran. FBG was the most important factor contributing to MS, and all elements of the lipid profile showed important associations with MS.

Association of vitamin D receptor gene variants with polycystic ovary syndrome: a case control study

Background: Vitamin D and insulin play an important role in susceptibility to polycystic ovary syndrome [PCOS], and therefore vitamin D receptor [VDR], parathyroid hormone [PTH], and insulin receptor [INSR] gene variants might be involved in the pathogenesis of PCOS

Objective: The present study was designed to investigate the possible associations between polymorphisms in VDR, PTH, and INSR genes and the risk of PCOS

Materials and Methods: VDR, PTH, and INSR gene variants were genotyped in 35 women with PCOS and 35 controls using Polymerase chain reaction - Restriction fragment length polymorphism method. Furthermore, serum levels of glucose and insulin were measured in all participants

Results: No significant differences were observed for the VDR Fokl, VDR Tru9l, VDR TaqI, PTH Drall, INSR Nsil, and INSR Pmll gene polymorphisms between the women with PCOS and controls. However, after adjustment for confounding factors, the VDR BsmI "Bb" genotype and the VDR Apal "Aa" genotype were significantly under transmitted to the patients [p= 0.016; OR= 0.250; 95% CI= 0.081-0.769, and p= 0.017; OR= 0.260; 95% CI= 0.086-0.788, respectively]. Furthermore, in the women with PCOS, insulin levels were lower in the participants with the INSR Nsil "NN" genotype compared with those with the "Nn + nn" genotypes [P= 0.045]

Conclusion: The results showed an association between the VDR gene Bsml and Apal polymorphisms and PCOS risk. These data also indicated that the INSR "NN" genotype was a marker of decreased insulin in women with PCOS. Our findings, however, do not lend support to the hypothesis that PTH gene Drall variant plays a role in susceptibility to PCOS

[Antibiotic resistance pattern of E.coli isolated from urine culture in 660 army clinical laboratory center in Tehran 2008]

Urinary tract infections are the second most common type of body infection. E.coli is the most common cause of urinary tract infection both sex. For this descriptive study a total 4494 urine samples were examined during one year [2008-2009] in 660 Army Medical Laboratories. The urine cultures and Antibiogram profiles were performed by Kirby- Bauer method according to NCCLS standards. Data analyzed by SPSS software ver. 16. A total of 4494 urine samples were analyzed that out of each 456 samples were showed the significance growth. The most frequently detected gram negative bacterium was E.coli in 257 cases [10.1%]. The most antibiotic resistance rates of E.coli detected from urine culture were to Ampicillin, Co-trimoxazol and Gentamycine with 80%, 37%, 27.7% frequencies respectively. Furthermore, Norofoloxazin and Nitroforantoin had the highest sensitivity 89.6% and 89% respectively. Present findings demonstrated the significance of resistance E.coli that was detected from urine culture to various group of antibiotic drugs caused by the irregular use of antibiotics