Protein-Protein Interaction Network and Novel Biomarkers of Celiac Disease


  •   Selia Chowdhury

  •   Mehedi Hasan Bappy

  •   Md. Shahraj Chowdhury

  •   Nurjahan Shipa Chowdhury

  •   Athanasios Patousis

  •   Anna Gerothanasi

  •   Panagiotis Patousis

  •   Samia Chowdhury

  •   Shajeda Chowdhury


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.

Keywords: Celiac disease, bioinformatics, gene expression, intestine biopsy, proteomics, protein-protein interactions


KhalKhal E, Razzaghi Z, Zali H, Bahadorimonfared A, Iranshahi M, Rostami-Nejad M. Comparison of cytokine and gene activities in tissue and blood samples of patients with celiac disease. Gastroenterology and hepatology from bed to bench. 2019; 12(Suppl1): S108.

Azodi MZ, Peyvandi H, Rostami-Nejad M, Safaei A, Rostami K, Vafaee R, Heidari M, Hosseini M, Zali MR. Protein-protein interaction network of celiac disease. Gastroenterology and Hepatology from bed to bench. 2016; 9(4): 268.

Stulík J, Hernychová L, Porkertová S, Pozler O, Tučková L, Sánchez D, Bureš J. Identification of new celiac disease autoantigens using proteomic analysis. Proteomics. 2003; 3(6): 951-6.

Simula MP, Cannizzaro R, Canzonieri V, Pavan A, Maiero S, Toffoli G, De Re V. PPAR signaling pathway and cancer-related proteins are involved in celiac disease-associated tissue damage. Molecular medicine. 2010; 16(5): 199-209.

De Re V, Simula MP, Caggiari L, Ortz N, Spina M, Da Ponte A, De Appolonia L, Dolcetti R, Canzonieri V, Cannizzaro R. Protein Expression Profile of Celiac Disease Patient with Aberrant T Cell by Two‐ dimensional Difference Gel Electrophoresis. Annals of the New York Academy of Sciences. 2007; 1109(1): 429-40.

Huebener S, Tanaka CK, Uhde M, Zone JJ, Vensel WH, Kasarda DD, Beams L, Briani C, Green PH, Altenbach SB, Alaedini A. Specific nongluten proteins of wheat are novel target antigens in celiac disease humoral response. Journal of proteome research. 2015; 14(1): 503-11.

Huang DW, Sherman BT, Lempicki RA. Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources. Nature protocols. 2009; 4(1): 44-57.

Huang DW, Sherman BT, Lempicki RA. Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists. Nucleic acids research. 2009; 37(1): 1-3.

Antonov AV. BioProfiling. de: analytical web portal for high-throughput cell biology. Nucleic acids research. 2011; 39(suppl_2): W323-7.

Shannon P, Markiel A, Ozier O, Baliga NS, Wang JT, Ramage D, Amin N, Schwikowski B, Ideker T. Cytoscape: a software environment for integrated models of biomolecular interaction networks. Genome research. 2003; 13(11): 2498-504.

Mi H, Ebert D, Muruganujan A, Mills C, Albou LP, Mushayamaha T, Thomas PD. PANTHER version 16: a revised family classification, tree-based classification tool, enhancer regions and extensive API. Nucleic acids research. 2021; 49(D1): D394-403.


How to Cite
Chowdhury, S., Bappy, M. H., Chowdhury, M. S., Chowdhury, N. S., Patousis, A., Gerothanasi, A., Patousis, P., Chowdhury, S., & Chowdhury, S. (2022). Protein-Protein Interaction Network and Novel Biomarkers of Celiac Disease. European Journal of Clinical Medicine, 3(2), 25–29.

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