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Aim: To investigate whether aggressive hydration can increase the efficacy of prophylactic non-steroid anti-inflammatory drugs [NSAIDs] in prevention of post-ERCP pancreatitis
Background: NSAIDs are recommended for the prevention of PEP; however, whether aggressive hydration can have additional benefits in this regard is not known
Methods: Patients candidate for ERCP received either pre-procedural rectal diclofenac [100 mg] alone [n = 112] or in combination with aggressive hydration by lactate ringer's [n = 107] as prophylactic method. PEP was defined based on increase in serum levels of pancreatic enzymes [from baseline to 24 hours following the procedure] accompanied with symptoms
Results: PEP was occurred in 3 patients in the diclofenac only group and in 1 patient in the diclofenac + hydration group with no significant difference [2.7% vs. 0.9%, P = 0.622]. Serum amylase levels decreased over time in the diclofenac + hydration group but not in the diclofenac only group. Also, serum lipase levels decreased more rapidly over time in the diclofenac + hydration group compared to the diclofenac only group
Conclusion: Combination prophylactic therapy with NSAIDs plus aggressive hydration does not seem to have additional clinically important benefits in preventing PEP. Studies with larger sample of patients are required in this regard
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Background: Minimal hepatic encephalopathy [MHE] is the mildest type of hepatic encephalopathy in patients with cirrhosis. Patients with MHE have normal clinical and physical examination but they show some neurocognitive dysfunctions that affect their quality of life negatively. The aim of the current study is to diagnose MHE in patients with cirrhosis and its associated factors
Methods: This is a cross-sectional study on 120 known cases of cirrhosis referred to hospitals affiliated to Isfahan University of Medical Sciences during 2014-17. The patients' cirrhosis severity was evaluated using laboratory tests and physical examinations based on MELD [Model for End-stage Liver Disease] and Child-Pugh criteria. The patients' demographics were filled in a checklist. All included patients with cirrhosis were asked to respond to the questions of Psychometric Hepatic Encephalopathy Score [PHES] test
Results: Mean age of the patients was 51.2 +/- 9.7 years. 62 [51.7%] patients were men and 58 [48.3%] patients were women. The mean score of the patients based on MELD criteria was 14.03 +/- 6.09. 26.7% of the patients presented MHE. Mean age of the patients with MHE was statistically less than the patients without MHE [p value < 0.001]. Mean score of MELD criteria among the patients with diagnosis of MHE was significantly higher than the other group [p value < 0.001]. The patients' Child class was statistically associated with MHE [p value < 0.001]. Men were significantly more affected than women [p value = 0.03]
Conclusion: MHE was associated with MELD score and Child class of the patients with cirrhosis. The noticeable point was reversible association of age with MHE. Further studies are recommended
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Aim: The aim of this study was to provide a biomarker panel for esophageal, gastric and colorectal cancers. It can help introducing some diagnostic biomarkers for these diseases
Background: Gastrointestinal cancers [GICs] including esophageal, gastric and colorectal cancers are the most common cancers in the world which are usually diagnosed in the final stages and due to heterogeneity of these diseases, the treatments usually are not successful. For this reason, many studies have been conducted to discover predictive biomarkers
Methods: In the present study, 507 genes related to esophageal, gastric and colon cancers were extracted. The network was constructed by Cytoscape software [version 3.4.0]. Then a main component of the network was analyzed considering centrality parameters including degree, betweenness, closeness and stress. Three clusters of the protein network accompanied with their seed nodes were determined by MCODE application in Cytoscape software. Furthermore, Gene Ontology [GO] analysis of the key genes in combination to the seed nodes was performed
Results: The network of 17 common differential expressed genes in three esophageal, gastric and colon adenocarcinomas including 1730 nodes and 9188 edges were constructed. Eight crucial genes were determined. Three Clusters of the network were analyzed by GO analysis
Conclusion: The analyses of common genes of the three cancers showed that there are some common crucial genes including TP53, EGFR, MYC, AKT1, CDKN2A, CCND1 and HSP90AA1 which are tightly related to gastrointestinal cancers and can be predictive biomarkers for these cancers
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Aim: The main goal of this analysis was prioritization of co-expressed genes and miRNAs that are thought to have important influences in the pathogenesis of colon and lung cancers
Background: MicroRNAs [miRNAs] as small and endogenous noncoding RNAs which regulate gene expression by repressing mRNA translation or decreasing stability of mRNAs; they have proven pivotal roles in different types of cancers. Accumulating evidence indicates the role of miRNAs in a wide range of biological processes from oncogenesis and tumor suppressors to contribution to tumor progression. Colon and lung cancers are frequently encountered challenging types of cancers; therefore, exploring trade-off among underlying biological units such as miRNA with mRNAs will probably lead to identification of promising biomarkers involved in these malignancies
Methods: Colon cancer and lung cancer expression data were downloaded from Firehose and TCGA databases and varied genes extracted by DCGL software were subjected to build two gene regulatory networks by parmigene R package. Afterwards, a networkdriven integrative analysis was performed to explore prognosticates genes, miRNAs and underlying pathways
Results: A total of 192 differentially expressed miRNAs and their target genes within gene regulatory networks were derived by ARACNE algorithm. BTF3, TP53, MYC, CALR, NEM2, miR-29b-3p and miR-145 were identified as bottleneck nodes and enriched via biological gene ontology [GO] terms and pathways chiefly in biosynthesis and signaling pathways by further screening
Conclusion: Our study uncovered correlated alterations in gene expression that may relate with colon and lung cancers and highlighted the potent common biomarker candidates for the two diseases