The Relationship between Metabolic Syndrome and Plasma Metals Modified by EGFR and TNF-α Gene Polymorphisms

Assessment of metabolic syndrome predictors in relation to inflammation and visceral fat tissue in older adults

The diagnosis of metabolic syndrome (MetS) focuses on the assessment of risk factors such as insulin resistance, dyslipidemia, central adiposity and elevated blood pressure. Evidence suggests that markers of systemic inflammation may also be included in the definition of MetS and play some role in its pathogenesis. The study was designed to evaluate low-grade inflammation status in older adults with MetS in relation to increased body fat tissue and an attempt was made to evaluate new predictors for MetS through the analysis of the ROC Curve. Ninety-six middle-aged (69.2 ± 4.9) individuals from University of Third Age (women n = 75 and men n = 21) were allocated to two groups: without metabolic syndrome (n = 37) and with metabolic syndrome (n = 59) according to International Diabetes Federation criteria in agreement with American Heart Association/National Heart, Lung and Blood Institute 2009. Participants' current health status was assessed using medical records from a routine follow-up visit to a primary care physician. Statistical analysis was performed using R studio software. Depending on the normal distribution, ANOVA or the Kruskal-Wallis test was used. The optimal threshold value for clinical stratification (cut-off value) was obtained by calculating the Youden index. The AUC was observed to be the highest for a new anthropometric index i.e. lipid accumulation product (0.820). Low-grade inflammation dominated in MetS group (BMI 28.0 ± 4.4 kg/m², WHR 0.9 ± 0.1, FM 24.7 ± 7.9 kg) where significantly higher values of TNF-α (p = 0.027) and HGMB-1 protein (p = 0.011) were recorded.The optimal threshold values for immunological indices assessed as new predictors of the metabolic syndrome were: 93.4 for TNF-α, 88.2 for HGMB-1 protein and 1992.75 for ghrelin. High AUC values for these indices additionally confirmed their high diagnostic usefulness in MetS.

Two missense variants of the epidermal growth factor receptor gene are associated with non small cell lung carcinoma in the subjects from Iraq

BACKGROUND

Lung carcinoma is a foremost cause of cancer-related mortality worldwide. Variable genetic factors are associated with the development of lung cancer. This study was performed to evaluate the possible association of epidermal growth factor receptor (EGFR) gene polymorphisms with non small cell lung carcinoma (NSCLC) in Iraqi population.

METHODS

DNA samples were extracted from 100 patients and 100 controls. Four PCR fragments were designed to amplify four high-frequency variants within EGFR, namely rs1050171, rs2072454, rs2227984, and rs2227983. The PCR fragments were genotyped by single-strand conformation polymorphism (SSCP) method, and each genotype was subjected to direct sequencing.

RESULTS

Genotyping experiments confirmed the variability of three targeted variants, and logistic regression analysis showed that two of these variants (rs1050171 and rs2227983) tend to exhibit a significant association with NSCLC. Individuals with rs1050171:GA genotype showed a possible association with the increased risk of NSCLC (P = 0.0110; OD 5.2636; Cl_95% 1.4630 to 18.9371). Individuals with rs2227983:GG genotype exhibited a potential association with NSCLC (P = 0.0037; OD 5.2683; Cl_95% 1.7141 to 16.1919). Linkage disequilibrium analysis showed that the effects of the investigated variants seem to take independent actions, and no haplotype was found to be associated with the high prevalence of NSCLC.

CONCLUSIONS

Our collective data indicated that EGFR-rs1050171G/A and EGFR-rs2227983G/G SNPs tend to exert significant and separate associations with the increased risk of NSCLC. However, this study recommends using a broader spectrum of the investigated samples to get further details of both SNPs in terms of their association with the susceptibility to NSCLC.