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Fırat Üniversitesi Sağlık Bilimleri Tıp Dergisi
2020, Cilt 34, Sayı 1, Sayfa(lar) 079-089
[ Turkish ] [ Tam Metin ] [ PDF ]
Identification of Candidate Biomarker Genes for Diagnosis of Irritable Bowel Syndrome by Bioinformatic Analysis
Fırat Üniversitesi, Fen Fakültesi, Biyoloji Bölümü, Elazığ, TÜRKİYE
Keywords: Irritable bowel syndrome, gene expression analysis, bioinformatics

Objective: Irritable bowel syndrome (IBS) is a gastrointestinal (GI) disorder characterized by altering bowel habits in combination with abdominal pain or discomfort without detectable biochemical and structural abnormalities. Although the reasons for the occurrence of the disease are not known, it contains many factors. Understanding the pathogenesis of IBS is very important. In this study, it was aimed to identify the genes and molecular mechanisms involved in the emergence of this disease by analyzing the IBS transcriptome data.

Materials and Methods: The microarray data selected for bioinformatic analysis is gene expression data stored with the code GSE36701 in the National Center for Biotechnology Information (NCBI) Gene Expression Omnibus (GEO) database. By using this data set, gene expression analysis, functional cluster analysis, enrichment analysis and pathway analysis were performed.

Results: In our results, we have detected that the expression level of HLA-DQB1, CAPN8, RAP2C, AGPAT4, GOLGA8A, UNC5CL, CCL13 and ARHGAP9 genes increased and expression levels of SLC28A2, CPB1, MST1L, ATXN1 and FABP2 genes decreased in the constipation dominant IBS. In diarrhea dominant IBS subtype, CAPN8, GOLGA8A, CCL13 and FCRL5 are the genes whose expression level increases. Decreasing expression levels are found as the HLA-DQB1, ERAP2, MST1L and ATXN1 genes.

Conclusion: As a result of this approach, IBS-specific molecular profile has been revealed, the genes whose expression levels increased or decreased compared to control group were identified and it has been determined that the subtypes of IBS have a specific molecular profile.

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