Metabolic analysis of acute appendicitis by using system biology approach.

AIM: Introducing possible suitable compound as diagnostic agent in appendicitis is aim of this investigation. BACKGROUND: Appendicitis diagnosis is a difficult step in treatment of disease due to complex abdominal pain signal which may be refer to the non-appendicitis pain. METHODS: Gene expression profiles of children with non-preforated appendicitis in comparison with the samples with non- appendicitis abdominal pain are analysis via protein - protein interaction (PPI) and the critical compounds are introduced by STITCH. RESULTS: Ten compounds including including MgATP, glycerol, MgADP, calcium ions, chloride, magnesium, phosphate, sulphate, acetate, and sodium are introduced as possible biomarker panel to differentiate appendicitis from the other abdominal pains. CONCLUSION: A laboratory method such as flame photometry based on metal detection for diagnosis of appendicitis is possible, however more investigations are required.

Network analysis of grade II into grade III transition in rectum cancer patients.

AIM: Finding important differential genes between grade II and grade III of rectum cancer was the aim of this study. BACKGROUND: Colorectal (CRC) cancers (CRC) are known as the third diagnosed cancer and the second leading to death cancers. Life style is an important risk factor of CRCs. Diagnosis of rectum cancer estimated as 44% of colon cancer. METHODS: Differentially expressed genes (DEGS) related to grade II into grade II in 6 patients are retrieved from gene expression omnibus (GEO) and investigated by protein-protein interaction (PPI) network analysis. Central nodes of the network are identified and enriched to determine biochemical pathways. Action map is illustrated for the central genes. RESULTS: Among 15 central genes including AKT1, PRDM10, GAPDH, TP53, SRC, EGFR, ALB, INS, CTNNB1, EGF, IL6, RHOA, DECR1, ACACA, GMPS role of AKT1 is highlighted due to prominent role in the integrity of the network and participation in the most determined pathways. However, significant regulatory effect of INS, AKT1, EGF, EGFR, and CTNNB1 is tinted in action map. CONCLUSION: It seems that AKT1, EGFR, and TP3 are suitable drug targets to prevent rectum cancer progression.