This is a staging instance. Full-text downloads are disabled.
 

Publication:
Identification of Specific Biomarkers and Pathways in the Treatment Response of Infliximab for Inflammatory Bowel Disease: In-Silico Analysis

dc.contributor.authorKaddoura, Rachid
dc.contributor.authorGhelani, Hardik
dc.contributor.authorAlqutami, Fatma
dc.contributor.authorAltaher, Hala
dc.contributor.authorHachim, Mahmood Yaseen
dc.contributor.authorJan, Reem Kais
dc.date.accessioned2023-07-17T10:00:08Z
dc.date.available2023-07-17T10:00:08Z
dc.date.issued2023
dc.description.abstractBackground: Inflammatory bowel disease (IBD) is characterized by chronic inflammation of the gastrointestinal tract. In biological therapy, infliximab became the first anti-tumor necrosis factor (TNF) agent approved for IBD. Despite this success, infliximab is expensive, often ineffective, and associated with adverse events. Prediction of infliximab resistance would improve overall potential outcomes. Therefore, there is a pressing need to widen the scope of investigating the role of genetics in IBD to their association with therapy response. Methods: In the current study, an in-silico analysis of publicly available IBD patient transcriptomics datasets from Gene Expression Omnibus (GEO) are used to identify subsets of differentially expressed genes (DEGs) involved in the pathogenesis of IBD and may serve as potential biomarkers for Infliximab response. Five datasets were found that met the inclusion criteria. The DEGs for datasets were identified using limma R packages through the GEOR2 tool. The probes’ annotated genes in each dataset intersected with DGEs from all other datasets. Enriched gene Ontology Clustering for the identified genes was performed using Metascape to explore the possible connections or interactions between the genes. Results: 174 DEGs between IBD and healthy controls were found from analyzing two datasets (GSE14580 and GSE73661), indicating a possible role in the pathogenesis of IBD. Of the 174 DEGs, five genes (SELE, TREM1, AQP9, FPR2, and HCAR3) were shared between all five datasets. Moreover, these five genes were identified as downregulated in the infliximab responder group compared to the non-responder group. Conclusions: We hypothesize that alteration in the expression of these genes leads to an impaired response to infliximab in IBD patients. Thus, these genes can serve as potential biomarkers for the early detection of compromised infliximab response in IBD patients.en_US
dc.identifier.other204-2023.44
dc.identifier.urihttps://repository.mbru.ac.ae/handle/1/1276
dc.language.isoenen_US
dc.subjectInflammatory Bowel Diseaseen_US
dc.subjectIn-silicoen_US
dc.subjectTranscriptomicsen_US
dc.subjectDifferentially Expressed Gene Analysisen_US
dc.subjectInfliximab Treatment Responseen_US
dc.titleIdentification of Specific Biomarkers and Pathways in the Treatment Response of Infliximab for Inflammatory Bowel Disease: In-Silico Analysisen_US
dc.typeArticleen_US
dspace.entity.typePublication

Files