{"title":"Network analysis of H. pylori effect on AGS human gastric adenocarcinoma cells gene expression profile.","authors":"Fatemeh Bandarian, Farideh Razi, Zahra Razzaghi, Mohammad Rostami Nejad, Babak Arjmand, Alireza Ahmadzadeh","doi":"10.22037/ghfbb.v17i4.3023","DOIUrl":null,"url":null,"abstract":"<p><strong>Aim: </strong>To better understand the molecular mechanism of Helicobacter pylori (H. pylori) in adenocarcinoma, the gene expression profile of AGS cells was analyzed by complementary study.</p><p><strong>Background: </strong>Gastric cancer, as one of the most lethal malignancies in the world, is important to be studied in terms of biomarkers. On the other hand, Helicobacter pylori is one of the key risk factors in this type of disease.</p><p><strong>Methods: </strong>In this cross-sectional study, we evaluated the seroprevalence of total and IgM anti-HAV antibodies of 254 institutionalized people with intellectual disabilities. Total and IgM anti-HAV antibodies of the blood samples of these people were determined by ELISA method. Protein-protein interaction (PPI) network analysis is a bioinformatic study with validation values for biomarker identification and clarification of molecular mechanisms. Cytoscape V 3.10.2 and its application identified potential central elements of the PPI network and its corresponding roles.</p><p><strong>Results: </strong>GAPDH and P53 are the most promising candidates in this study. In addition, the microRNA signatures assessment provided more information about these biomarkers and added more value.</p><p><strong>Conclusion: </strong>Consequently, a new outlook for the relationship between gastric cancer and H. pylori was explored based on the new key biomarkers.</p>","PeriodicalId":12636,"journal":{"name":"Gastroenterology and Hepatology From Bed to Bench","volume":"17 4","pages":"415-421"},"PeriodicalIF":0.0000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12094504/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Gastroenterology and Hepatology From Bed to Bench","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22037/ghfbb.v17i4.3023","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
Abstract
Aim: To better understand the molecular mechanism of Helicobacter pylori (H. pylori) in adenocarcinoma, the gene expression profile of AGS cells was analyzed by complementary study.
Background: Gastric cancer, as one of the most lethal malignancies in the world, is important to be studied in terms of biomarkers. On the other hand, Helicobacter pylori is one of the key risk factors in this type of disease.
Methods: In this cross-sectional study, we evaluated the seroprevalence of total and IgM anti-HAV antibodies of 254 institutionalized people with intellectual disabilities. Total and IgM anti-HAV antibodies of the blood samples of these people were determined by ELISA method. Protein-protein interaction (PPI) network analysis is a bioinformatic study with validation values for biomarker identification and clarification of molecular mechanisms. Cytoscape V 3.10.2 and its application identified potential central elements of the PPI network and its corresponding roles.
Results: GAPDH and P53 are the most promising candidates in this study. In addition, the microRNA signatures assessment provided more information about these biomarkers and added more value.
Conclusion: Consequently, a new outlook for the relationship between gastric cancer and H. pylori was explored based on the new key biomarkers.
目的:为更好地了解幽门螺杆菌(Helicobacter pylori, H. pylori)在腺癌中的分子机制,采用互补研究方法分析AGS细胞的基因表达谱。背景:胃癌作为世界上最致命的恶性肿瘤之一,其生物标志物的研究十分重要。另一方面,幽门螺杆菌是这类疾病的关键危险因素之一。方法:在横断面研究中,我们对254名机构智力残疾者进行了血清总抗体和IgM抗体的检测。采用酶联免疫吸附试验(ELISA)测定血清中总抗体和IgM抗体。蛋白质-蛋白质相互作用(PPI)网络分析是一项生物信息学研究,对生物标志物鉴定和分子机制的阐明具有验证价值。Cytoscape V 3.10.2及其应用程序确定了PPI网络的潜在中心元素及其相应的作用。结果:GAPDH和P53是本研究中最有希望的候选基因。此外,microRNA特征评估提供了更多关于这些生物标志物的信息,并增加了更多的价值。结论:基于新的关键生物标志物,为胃癌与幽门螺杆菌的关系开辟了新的前景。