Genetic polymorphisms -137 (G > C) (rs187238) and -607 (C > A) (rs1946518) and serum level of interleukin 18 in Fars ethnic groups with metabolic syndrome in Northern Iran.

INTRODUCTION: We aimed to determine the genetic polymorphisms and serum level of interleukin 18 in Fars ethnic groups. MATERIAL AND METHODS: 226 Fars ethnic groups were participated. The ATP III criteria were used to assess MS components. The SNPs of the IL-18 gene were determined with ARMS-PCR. RESULTS: The GG, GC, and CC genotypes of -137 were 50%, 40%, and 10%. The CC, CA, and AA genotypes of -607 were 45%, 37%, and 18%. The GG, GC, and CC genotypes of -137 were 44.20%, 43.40%, and 12.40%, and were 55.75%, 36.28%, and 7.97% in subjects with and without MS, respectively. The CC, CA, and AA genotypes of -607 were 48.70%, 37.20%, and 14.20% and were 41.60%, 37.20%, and 21.20% in both groups, respectively. CONCLUSION: IL-18 gene may different in specific populations, different ethnic groups and geographic regions. The IL-18 polymorphisms might not be used as a marker of metabolic syndrome.

Effect of Lactocare® Synbiotic on Disease Severity in Ulcerative Colitis: A Randomized Placebo-Controlled Double-Blind Clinical Trial.

BACKGROUND Inflammatory bowel diseases are managed by different methods, which may not be well tolerated because of their side effects. Recently, pro-prebiotics are considered as a supplementary treatment in gastrointestinal diseases. In this study, the effect of Lactocare® (ZistTakhmir Company) was investigated on the disease severity in mild to moderate ulcerative colitis. METHODS In this randomized, double-blind clinical trial (Iranian Registry of Clinical Trials number: IRCT201407271264N5), 60 patients with mild to moderate ulcerative colitis were included. An 8-week trial was carried out comparing Lactocare® as a supplement with standard therapy against placebo. Simple Clinical Colitis Activity Index (SCCAI) was measured at baseline and after 8 weeks. Statistical analysis was performed using paired ttest to assess the temporal changes (before and after the treatment) in the mean of SCCAI in each group. Chi-square test was used to compare the response rates. Odds ratios (OR) and the 95% confidence intervals (95%CI) were also calculated. p values of less than 0.05 were considered significant. RESULTS A significant decreased mean SCCAI was seen in the intervention group (4.56 ± 2.56) vs. placebo group (6.54 ± 2.47) (p < 0.05). Response to treatment was seen in 64.3% of the treatment group vs. 47% in the placebo group (p = 0.18). Response to treatment was observed in 90.9% of patients with ulcerative colitis for more than 5 years compared with 44.4% of the control group (p = 0.01). CONCLUSION Regarding the effectiveness of pre-probiotics in mitigating symptoms in patients with ulcerative colitis, it could be suggested to try pre-probiotics in the standard treatment particularly in those with more than five years ofthe disease.

Diagnostic values of serum levels of pepsinogens and gastrin-17 for screening gastritis and gastric cancer in a high risk area in northern Iran.

BACKGROUND: Gastric cancer (GC) is the second cause of cancer related death in the world. It may develop by progression from its precancerous condition, called gastric atrophy (GA) due to gastritis. The aim of this study was to evaluate the accuracy of serum levels of pepsinogens (Pg) and gastrin-17 (G17) as non-invasive methods to discriminate GA or GC (GA/GC) patients. MATERIALS AND METHODS: Subjects referred to gastrointestinal clinics of Golestan province of Iran during 2010 and 2011 were invited to participate. Serum levels of PgI, PgII and G17 were measured using a GastroPanel kit. Based on the pathological examination of endoscopic biopsy samples, subjects were classified into four groups: normal, non-atrophic gastritis, GA, and GC. Receiver operating curve (ROC) analysis was used to determine cut-off values. Indices of validity were calculated for serum markers. RESULTS: Study groups were normal individuals (n=74), non-atrophic gastritis (n=90), GA (n=31) and GC patients (n=30). The best cut-off points for PgI, PgI/II ratio, G17 and HP were 80 µg/L, 10, 6 pmol/L, and 20 EIU, respectively. PgI could differentiate GA/GC with high accuracy (AUC=0.83; 95%CI: 0.76-0.89). The accuracy of a combination of PgI and PgI/II ratio for detecting GA/GC was also relatively high (AUC=0.78; 95%CI: 0.70-0.86). CONCLUSIONS: Our findings suggested PgI alone as well as a combination of PgI and PgI/II ratio are valid markers to differentiate GA/GC. Therefore, Pgs may be considered in conducting GC screening programs in high-risk areas.