ATP-Binding Cassette transporters' gene expression in pediatric patients with acute leukemia; a comprehensive analysis of published reports through PubMed search engine

Multidrug resistance based on ABC transporters' gene expression is one of the most important health challenges through chemotherapy of patients. This resistance can cause relapse or treatment failure. The goal of this conducted study was to evaluate the results of published reports which considered ABC transporters' gene expression in pediatric patients with acute leukemia. PubMed as a free search engine was chosen. The following Mesh terms were used as: "ATP-binding cassette transporters" OR "ABC-transporters*" AND "gene expression*" AND "leukemia" OR "ALL" OR "AML" OR "acute leukemia*". Age was set as an additional filter with the age range of birth to 18 years old. Initial screening was performed according to inclusion and exclusion criteria and the quality of the selected papers was assessed. Papers categorized into three sections as: pediatric patients with ALL (6 papers from 1998-2015); pediatric patients with AML (3 papers from 1992-2011) and pediatric patients with ALL and AML (7 papers from 1992-2014). Totally 1118 patients enrolled in the searched studies (ALL and AML: 488; ALL: 405; AML: 225). The common method for evaluating gene expression of ABC transporters was RT-PCR. More than 50 of the papers showed the influence of ABC transporters' gene expression on prognosis and treatment failures of patients. Despite controversial results, the gathered information in the current report serves as a comprehensive referential resource, which can be beneficial for future planning around this title, especially in developing countries

Introduction of inflammatory bowel disease biomarkers panel using protein-protein interaction (PPI) network analysis

Aim: In the present study, a protein-protein interaction network construction is conducted for IBD. Background: Inflammatory bowel diseases as serious chronic gastrointestinal disorders attracted many molecular investigations. Diverse molecular information is present for IBD. However, these molecular findings are not highlighted based on interactome analysis. On the other hand, PPI network analysis is a powerful method for study of molecular interactions in the protein level that provide useful information for highlighting the desired key proteins. Methods: Cytoscape is the used software with its plug-ins for detailed analysis. Two centrality parameters including degree and betweenness are determined and the crucial proteins based on these parameters are introduced. Results: The 75 proteins among 100 initial proteins are included in the network of IBD. Seventy-five nodes and 260 edges constructed the network as a scale free network. The findings indicate that there are seven hub-bottleneck proteins in the IBD network. Conclusion: More examination revealed the essential roles of these key proteins in the integrity of the network. Finally, the indicator panel including NFKB1, CD40, TNFA, TYK2, NOD2, IL23R, and STAT3 is presented as a possible molecular index for IBD. � 2016 RIGLD, Research Institute for Gastroenterology and Liver Diseases