Potential role of liver enzyme levels as predictive markers of glucose metabolism disorders in a Tunisian population.

The relationship between liver enzymes and T2D risk is inconclusive. We aimed to evaluate the association between liver markers and risk of carbohydrate metabolism disorders, as well as their discriminatory power, for T2D prediction. This cross-sectional study enrolled 216 participants classified as normoglycemic, prediabetic, newly diagnosed diabetics, and diagnosed diabetics. All participants underwent anthropometric and biochemical measurements. The relationship between hepatic enzymes and glucose metabolism markers was evaluated by analyses of covariance. The associations between liver enzymes and incident carbohydrate metabolism disorders were analyzed through logistic regression and their discriminatory capacity to predict T2D by ROC analysis. High AP, ALT, γGT, and AST levels were independently related to decreased insulin sensitivity. Interestingly, a higher AP level was significantly associated with an increased risk of prediabetes (p = 0.017), newly diagnosed diabetes (p = 0.004), and T2D (p = 0.007). An elevated γGT level was an independent risk factor for T2D (p = 0.032) and undiagnosed T2D (p = 0.010) in prediabetic and normoglycemic subjects, respectively. In ROC analysis, AP was a powerful predictor of incident diabetes and significantly improved T2D prediction. Liver enzymes within the normal range, specifically AP levels, are associated with increased risk of carbohydrate metabolism disorders and significantly improved T2D prediction.

Association between Leptin gene polymorphisms and plasma leptin level in three consanguineous families with obesity.

INTRODUCTION: Leptin (LEP) gene is one of the most promising candidate genes for obesity. Previous studies have tested the association of polymorphisms in LEP gene with obesity and obesity-related metabolic biomarkers (anthropometric variables, glucose, insulin level, leptin level and lipid profile). However, the results of these studies were still controversial. To determine whether LEP gene is associated with obesity in Tunisian population, we performed a family-based association study between LEP polymorphisms and obesity and obesity-related metabolic biomarkers. METHODS: Seven single nucleotide polymorphisms (SNPs) in 5' region of LEP gene were genotyped in three consanguineous families including 33 individuals. The previously reported LEP SNPs (H1328084, H1328082, rs10487506, H1328081, H1328080, G-2548A and A19G) were evaluated by PCR-RFLP and direct sequencing methods. Single SNP association and haplotype association analyses were performed using the family-based association test (FBAT). To determine allele frequencies of these SNPs in general population, 52 unrelated individuals from the general Tunisian population were also analyzed. RESULTS: Two SNPs showed significant associations with plasma leptin level (H1328084: A>G, Z=2.058, p=0.039; A19G: G>A, Z=2.058, p=0.039). When haplotypes were constructed with these two-markers, the risk AA haplotype (frequency 57.1%) was positively associated with plasma leptin level (Z=2.058, p=0.039). Moreover, SNPs H1328084 and A19G are predicted to modify transcription-factor binding sites. CONCLUSIONS: Our study provided that two functional variants in 5' regulatory region of LEP gene are associated with plasma leptin level as a quantitative trait. It suggested that H1328084 and A19G have an important role in regulating plasma leptin level.