Expression of inflammation cytokines and network analysis in acute rejection of renal transplantation

Abstract

To explore the changes of inflammation cytokines during acute renal transplantation rejection and decipher the functions of their protein-protein interaction network. Serum samples were collected from renal transplantation patients with stable renal function or acute rejection (n = 6 each) to measure the expression level of 40 inflammatory factors by APIX protein array. The differentially expressed proteins were selected and their protein-protein interaction networks constructed. And biologic processes were analyzed by the online tools of String and Network Ontology Analysis. There were 8 differentially expressed cytokines in the AR group versus the stable group (M (Q(1)-Q(3)), CCL24: 700 (255 - 1157) vs 330 (100 - 610) ng/L, ICAM-1: 58 737 (8018 - 105 395) vs 22 660 (137 - 68 914) ng/L, IL-10: 120 (20 - 517) vs 298 (81 - 11 609) ng/L, IL-6sR: 11 328 (3357 - 21 251) vs 7665 (370 - 12 455) ng/L, CCL3: 1712(7002 - 32 634) vs 283 (54 - 1915) ng/L, CCL4: 554 (28 - 2355) vs 283(104 - 1915) ng/L, TIMP-1: 15 560 (13 343 - 42 481) vs 11 271 (1207 - 18 228) ng/L, CCL5: 44 547 (38 252 - 78 631) vs 27 765 (12 073 - 46 627) ng/L, all P < 0.05). The analyses of protein-protein association network showed that these proteins were correlated and involved in such biological processes as taxis, chemotaxis, inflammatory reactions, wound responses and leukocytic migration. Comparing the inter-group differences of inflammatory cytokines and further developing and analyzing the protein-protein interaction network may help us to explore the mechanisms of acute renal transplantation rejection. And the differential cytokines can be used as candidate diagnostic biomarkers and intervention targets.