👤 Seyed Mahdi Hassanian

Non-alcoholic fatty liver disease (NAFLD) comprises a range of chronic liver diseases that result from the accumulation of excess triglycerides in the liver, and which, in its early phases, is categorized NAFLD, or hepato-steatosis with pure fatty liver. The mortality rate of non-alcoholic steatohepatitis (NASH) is more than NAFLD; therefore, diagnosing the disease in its early stages may decrease liver damage and increase the survival rate. In the current study, we screened the gene expression data of NAFLD patients and control samples from the public dataset GEO to detect DEGs. Then, the correlation betweenbetween the top selected DEGs and clinical data was evaluated. In the present study, two GEO datasets (GSE48452, GSE126848) were downloaded. The dysregulated expressed genes (DEGs) were identified by machine learning methods (Penalize regression models). Then, the shared DEGs between the two training datasets were validated using validation datasets. ROC-curve analysis was used to identify diagnostic markers. R software analyzed the interactions between DEGs, clinical data, and fatty liver. Ten novel genes, including ABCF1, SART3, APC5, NONO, KAT7, ZPR1, RABGAP1, SLC7A8, SPAG9, and KAT6A were found to have a differential expression between NAFLD and healthy individuals. Based on validation results and ROC analysis, NR4A2 and IGFBP1b were identified as diagnostic markers. These key genes may be predictive markers for the development of fatty liver. It is recommended that these key genes are assessed further as possible predictive markers during the development of fatty liver. Show less

Cervical cancer is among the most aggressive gynecological tumors and is a consequence of interactions between genetic and epigenetic factors. Several genetic polymorphisms related to cervical cancer have been reported in previous clinical studies. In this study, we aimed to explore the possible relationship between polymorphisms of the ANGPTL4 gene locus and susceptibility to cervical cancer. We investigated the relationship between a single nucleotide polymorphism (SNP) in the ANPGTL4 gene (rs116843064) and risk of cervical cancer in a total of 378 individuals with (n = 151), or without (n = 227) cancer. DNA was extracted, and genotyped using a Taq-Man based real time PCR. The ANPGTL4 polymorphism was found to be associated with an increased risk of developing cervical neoplasia using dominant model (OR = 12.48, CI = 4.9-31.82, p < 0.0001) and additive model (OR = 30.54, CI = 7.35-126.89, p < 0.0001). Our results indicate that there is a strong association between ANPGTL4 and the susceptibility for cervical cancer suggesting that it is a potential risk factor for cervical neoplasia. Show less