Journals / Fırat Üniversitesi Sağlık Bilimleri Tıp Dergisi / 2020 / Cilt: 34 - Sayı: 1

Identification of Candidate Biomarker Genes for Diagnosis of Irritable Bowel Syndrome by Bioinformatic Analysis

İrritabl Bağırsak Sendromunun Teşhisinde Kullanılabilecek Biyobelirteç Adayı Genlerin Biyoinformatik Analizlerle Tanımlanması

Pages
79–89
Publication Date
2022-10-18
DOI
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AI Summary & Key Takeaways

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⚡ TL;DR(Too Long; Didn't Read)

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.

📌 3 Key Takeaways

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Objective & Hypothesis: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.
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Key Findings & 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.
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Conclusion & Impact: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.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

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.

Özet

Amaç: İrritabl bağırsak sendromu (IBS), saptanabilir biyokimyasal ve yapısal anormallikler olmadankarın ağrısı veya rahatsızlık ile kombinasyon halinde bağırsak alışkanlıklarının değişmesiylekarakterize olan gastrointestinal (GI) bir bozukluktur. Hastalığın ortaya çıkma nedenleri kesin olarakbilinmemekle beraber birçok faktörü içermektedir. IBS’nin patogenezinin anlaşılması oldukçaönemlidir. Yapılan bu çalışmada IBS transkriptom verisi analiz edilerek bu hastalığın ortayaçıkmasında rol oynayan genler ve moleküler mekanizmaların tespit edilmesi amaçlanmıştır.Gereç ve Yöntemler: Biyoinformatik analiz için seçilen mikroarray verisi National Center forBiotechnology Information (NCBI) Gene Expression Omnibus (GEO) veri tabanında bulunanGSE36701 koduyla depolanmış olan Gen Ekspresyon verisidir. Bu veri seti kullanılarak gen ifadeanalizi, fonksiyonel kümeleme analizi, zenginleştirme analizi ve yolak analizleri yapılmıştır.Bulgular: Çalışma sonucunda konstipasyon baskın IBS alttipinde HLA-DQB1, CAPN8, RAP2C,AGPAT4, GOLGA8A, UNC5CL, CCL13 ve ARHGAP9 genlerinin ifade düzeyinin arttığını, SLC28A2,CPB1, MST1L, ATXN1 ve FABP2 genlerinin ise ifade düzeylerinin düştüğünü belirledik. Diyarebaskın IBS alttipinde, ifade düzeyi artış gösteren genler CAPN8, GOLGA8A, CCL13 ve FCRL5. İfadedüzeyi azalanlar ise HLA-DQB1, ERAP2, MST1L ve ATXN1 genleridir.Sonuç: Bu yaklaşım sonucunda IBS’ye özgü moleküler profil ortaya konmuş, kontrol grubuna göreifade düzeyleri artan veya azalan genler tespit edilmiş, buna ilaveten IBS’nin alttiplerininde kendineözgü bir moleküler profile sahip olduğu tespit edilmiştir.

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Cite This Article

DALKILIÇ, S. (2022). Identification of Candidate Biomarker Genes for Diagnosis of Irritable Bowel Syndrome by Bioinformatic Analysis. Fırat Üniversitesi Sağlık Bilimleri Tıp Dergisi, Cilt: 34 - Sayı: 1, 79–89. https://ajindex.com/articles/514464

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References (16)

  1. Saha L. Irritable bowel syndrome: Pathogenesis, diagnosis, treatment, and evidence-based medicine. World J Gastroenterol 2014; 20: 6759-6773
  2. Occhipinti K, Smith JW. Irritable bowel syndrome: A review and update. Clin Colon Rectal Surg 2012; 25: 46-52
  3. Mearin F, Lacy BE, Chang L, et al. Bowel disorders. Gastroenterology 2016; 150: 1393-1407
  4. Ford AC, Lacy BE, Talley NJ. Irritable bowel syndrome. N Engl J Med 2017; 376: 2566-25678
  5. Talley NJ. Serotoninergic neuroenteric modulators. Lancet 2001; 358: 2061-2068
  6. Dunlop SP, Coleman NS, Blackshaw E, et al. Abnormalities of 5-hydroxytryptamine metabolism in irritable bowel syndrome. Clin Gastroenterol Hepatol 2005; 3: 349-357
  7. Coates MD, Mahoney CR, Linden DR, et al. Molecular defects in mucosal serotonin content and decreased serotonin reuptake transporter in ulcerative colitis and irritable bowel syndrome. Gastroenterology 2004; 126: 1657-1664
  8. Sperber AD, Dumitrascu D, Fukudo S, et al. The global prevalence of IBS in adults remains elusive due to the heterogeneity of studies: A Rome Foundation working team literature review. Gut 2017; 66: 1075-1082
  9. Inadomi JM, Fennerty MB, Bjorkman D. Systematic review: the economic impact of irritable bowel syndrome. Aliment Pharmacol Ther 2003; 18: 671-682
  10. Swan C, Duroudier NP, Campbell E, et al. Identifying and testing candidate genetic polymorphisms in the irritable bowel syndrome (IBS): Association with TNFSF15 and TNFalpha. Gut 2013; 62: 985-994
  11. Huang da W, Sherman BT, Lempicki RA. Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources. Nat Protoc 2009; 4: 44-57
  12. Huang da W, Sherman BT, Lempicki RA. Bioinformatics enrichment tools: Paths toward the comprehensive functional analysis of large gene lists. Nucleic Acids Res 2009; 37: 1-13
  13. Farina F, Picascia S, Pisapia L, et al. HLA-DQA1 and HLADQB1 alleles, conferring susceptibility to celiac disease and type 1 diabetes, are more expressed than nonpredisposing alleles and are coordinately regulated. Cells 2019; 8: 751
  14. Kalva S, Bindusree G, Alexander V, Madasamy P. Interactome based biomarker discovery for irritable bowel syndrome-A systems biology approach. Comput Biol Chem 2018; 76: 218-224
  15. Sato S, Idogawa M, Honda K, et al. Beta-catenin interacts with the FUS proto-oncogene product and regulates premRNA splicing. Gastroenterology 2005; 129: 1225-1236
  16. Hasler R, Kerick M, Mah N, et al. Alterations of pre-mRNA splicing in huma