A systems medicine approach reveals disordered immune system and lipid metabolism in multiple sclerosis patients

Identification of autoimmune processes and introduction of new autoantigens involved in the pathogenesis of multiple sclerosis (MS) can be helpful in the design of new drugs to prevent unresponsiveness and side effects in patients. To find significant changes, we evaluated the autoantibody repertoires in newly diagnosed relapsing-remitting MS patients (NDP) and those receiving disease-modifying therapy (RP). Through a random peptide phage library, a panel of NDP- and RP-specific peptides was identified, producing two protein data sets visualized using Gephi, based on protein--protein interactions in the STRING database. The top modules of NDP and RP networks were assessed using Enrichr. Based on the findings, a set of proteins, including ATP binding cassette subfamily C member 1 (ABCC1), neurogenic locus notch homologue protein 1 (NOTCH1), hepatocyte growth factor receptor (MET), RAF proto-oncogene serine/threonine-protein kinase (RAF1) and proto-oncogene vav (VAV1) was found in NDP and was involved in over-represented terms correlated with cell-mediated immunity and cancer. In contrast, transcription factor RelB (RELB), histone acetyltransferase p300 (EP300), acetyl-CoA carboxylase 2 (ACACB), adiponectin (ADIPOQ) and phosphoenolpyruvate carboxykinase 2 mitochondrial (PCK2) had major contributions to viral infections and lipid metabolism as significant events in RP. According to these findings, further research is required to demonstrate the pathogenic roles of such proteins and autoantibodies targeting them in MS and to develop therapeutic agents which can ameliorate disease severity.

EGFR rs11506105 and IFNL3 SNPs but not rs8099917 are strongly associated with treatment responses in Iranian patients with chronic hepatitis C

Interferon lambda 3 (IFNL3) and epidermal growth factor receptor (EGFR) single nucleotide polymorphisms (SNPs) may play a key role in the spontaneous clearance of hepatitis C virus (HCV) and treatment responses. The aim of this study was to evaluate the effect of IFNL3 SNPs and EGFR rs11506105 on treatment outcomes in patients with chronic HCV (CHC). IFNL3 SNPs and EGFR rs11506105 were genotyped by PCR-restriction fragment length polymorphism and PCR-sequencing, respectively, in 235 naïve patients with CHC infection. The frequency of rapid virologic response (RVR), complete early virologic response (cEVR) and sustained virologic response (SVR) were 52.3%, 76.2% and 64.7% respectively. The results of this study showed that RVR was associated with ALT (P=0.015), AST (P=0.020), IFNL3 rs12979860 (CC) (P=0.043), rs12980275 (AA) (P=1 × 10-4), and EGFR rs11506105 (AA) (P=0.010), and IFNL3 rs12979860 (CC) (P=0.048), rs12980275 (AA) (P=0.022), and EGFR rs11506105 (AA) (P=0.006) were correlated with cEVR. HCV genotype (P=0.007), IFNL3 rs12979860 (CC) (P=0.023), IFNL3 rs12980275 (AA) (P=1 × 10-4), EGFR rs11506105 (AA) (P=0.005), RVR (P=1 × 10-4), and cEVR (P=0.003) were significant predictors for SVR. These results, for the first time, revealed that beside IFNL3 SNPs, EGFR rs11506105 is strongly associated with RVR, cEVR and SVR. EGFR rs11506105 besides IFNL3 SNPs could predict treatment responses in CHC patients.