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Iranian Biomedical Journal، جلد ۲۷، شماره ۶، صفحات ۳۷۵-۳۸۷
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عنوان انگلیسی Identification of Renal Transplantation Rejection Biomarkers in Blood Using the Systems Biology Approach
چکیده انگلیسی مقاله Background: Renal transplantation plays an essential role in the quality of life of patients with end-stage renal disease. At least 12% of the renal patients receiving transplantations show graft rejection. One of the methods used to diagnose renal transplantation rejection is renal allograft biopsy. This procedure is associated with some risks such as bleeding and arteriovenous fistula formation. In this study, we applied a bioinformatics approach to identify serum markers for graft rejection in patients receiving a renal transplantation.
Methods: Transcriptomic data were first retrieved from the blood of renal transplantation rejection patients using the GEO database. The data were then used to construct the protein-protein interaction and gene regulatory networks using Cytoscape software. Next, network analysis was performed to identify hub-bottlenecks, and key blood markers involved in renal graft rejection. Lastly, the gene ontology and functional pathways related to hub-bottlenecks were detected using PANTHER and DAVID servers.
Results: In PPIN and GRN, SYNCRIP, SQSTM1, GRAMD1A, FAM104A, ND2, TPGS2, ZNF652, RORA, and MALAT1 were the identified critical genes. In GRN, miR-155, miR17, miR146b, miR-200 family, and GATA2 were the factors that regulated critical genes. The MAPK, neurotrophin, and TNF signaling pathways, IL-17, and human cytomegalovirus infection, human papillomavirus infection, and shigellosis were identified as significant pathways involved in graft rejection.
Conclusion: The above-mentioned genes can be used as diagnostic and therapeutic serum markers of transplantation rejection in renal patients.  The newly predicted biomarkers and pathways require further studies.
کلیدواژه‌های انگلیسی مقاله Biomarkers, Gene regulatory network, Renal diseases
نویسندگان مقاله | Fatemeh Saberi
Student Research Committee, Department of Medical Biotechnology, School of Advanced Technologies in Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran


| Zeinab Dehghan
Department of Comparative Biomedical Sciences, School of Advanced Medical Sciences and Technologies, Shiraz University of Medical Sciences, Shiraz, Iran


| Effat Noori
Student Research Committee, Department of Medical Biotechnology, School of Advanced Technologies in Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran


| Hakimeh Zali
Department of Tissue Engineering and Applied Cell Sciences, School of Advanced Technologies in Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
نشانی اینترنتی http://ibj.pasteur.ac.ir/browse.php?a_code=A-10-5229-1&slc_lang=en&sid=1
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