Background: Celiac disease is a small intestine enteropathy. Gluten exposure in the diet of those who are vulnerable causes it. Susceptibility is determined by genetics. Despite advancements in technology, small intestinal biopsy remains the gold standard for diagnosing Celiac disease.
Methods: Differentially expressed proteins related to celiac disease were collected from published research articles and considered for this study. Gene IDs of all proteins contained in the data set were identified using the NCBI Gene Database. The list of entrez gene IDs was then entered into the bio profiling software to look for protein-protein interactions between the gene IDs.
Results: Using the Protein-Protein Interaction (PPI) spider model, numerous important signaling pathways implicated in the proteome of Celiac disease have been discovered. The p values of model D1 and D2 were <0.03 and <0.05, respectively. Model D1 depicts the pathway involved, which includes reverse cholesterol transport and model D2 depicts the pathway involved, which include anti-apoptosis, response to virus, and positive regulation of I-kappaB kinase/NF-kappaB cascade.
Conclusions: The deregulation of several pathways and protein interaction networks is suggested by bioinformatic analysis of the differentially expressed proteins. Following validation, the unique biomarkers discovered can be utilized to better understand this illness and identify potential pharmaceutical therapies.
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