{"title":"Variability of Immune Biomarkers with the Graft Function in Kidney Transplant Patients in India, an Observational Prospective Cohort Study","authors":"Bejugama Katyayani, Guditi Swarnalatha, Taduri Gangadhar","doi":"10.11648/j.iji.20231101.12","DOIUrl":null,"url":null,"abstract":"In renal transplantation (RT), the major issue is to maintain the immune homeostasis, limiting graft rejection (GR), and promoting transplant tolerance. A total of 70 subjects of chronic kidney disease patients on maintenance haemodialysis, opted for RT and 20 controls were recruited. The Tregs% (CD4+CD25+), concentration of cytokines IL –10 and IL 17 were measured in pre-and post-transplant at a defined timelines with stable graft function (SGF) and with GR for two years, using flow cytometer and sandwich ELISA method. With SGF, Tregs% Baseline [8.5 (6.5–10.7) vs. HCs [14.25 (13–18), p < 0.01)], at Baseline vs. six months [11.54 (8.9–15)], p < 0.001); At Baseline [3.05 (1.05–5.2) vs. GR 8.5 (6.5–10.7), p < 0.05]. Serum IL 10 baseline [3.6 (2.56–4.6) vs. HC (6.4 (4.8-9.8), p<0.001]. Serum IL 17 levels at baseline [120 (92 - 176) vs. HC [20.88 (18-55), p<0.05], day four vs. baseline [180 (160.5-257.45); p<0.05], day 90 vs. baseline [53.3 (48-100), p< 0.05] and this was maintained for two years, with GR vs. baseline [190 (105-372); p<0.05]. ROC analysis of Tregs% (AUC of 0.758 and a p – value of <0.05), IL-10 (AUC of 0.8 and a p – value of 0.117), IL-17 (AUC of 0.937 and a p – value of <0.05). With SGF, Tregs % increased from 6 months, IL-17 decreased from 3 months, IL-10 did not show changes and continued till two years; with GR, Tregs% decreased from baseline, IL-10 did not show changes, and IL-17 increased due to high inflammation. ROC analysis showed that the Tregs% and IL-17 are better predictors of graft outcome. However, the association between biomarkers with graft function couldn’t be evaluated which needs further studies.","PeriodicalId":92912,"journal":{"name":"International journal of immunology and immunotherapy","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of immunology and immunotherapy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.11648/j.iji.20231101.12","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In renal transplantation (RT), the major issue is to maintain the immune homeostasis, limiting graft rejection (GR), and promoting transplant tolerance. A total of 70 subjects of chronic kidney disease patients on maintenance haemodialysis, opted for RT and 20 controls were recruited. The Tregs% (CD4+CD25+), concentration of cytokines IL –10 and IL 17 were measured in pre-and post-transplant at a defined timelines with stable graft function (SGF) and with GR for two years, using flow cytometer and sandwich ELISA method. With SGF, Tregs% Baseline [8.5 (6.5–10.7) vs. HCs [14.25 (13–18), p < 0.01)], at Baseline vs. six months [11.54 (8.9–15)], p < 0.001); At Baseline [3.05 (1.05–5.2) vs. GR 8.5 (6.5–10.7), p < 0.05]. Serum IL 10 baseline [3.6 (2.56–4.6) vs. HC (6.4 (4.8-9.8), p<0.001]. Serum IL 17 levels at baseline [120 (92 - 176) vs. HC [20.88 (18-55), p<0.05], day four vs. baseline [180 (160.5-257.45); p<0.05], day 90 vs. baseline [53.3 (48-100), p< 0.05] and this was maintained for two years, with GR vs. baseline [190 (105-372); p<0.05]. ROC analysis of Tregs% (AUC of 0.758 and a p – value of <0.05), IL-10 (AUC of 0.8 and a p – value of 0.117), IL-17 (AUC of 0.937 and a p – value of <0.05). With SGF, Tregs % increased from 6 months, IL-17 decreased from 3 months, IL-10 did not show changes and continued till two years; with GR, Tregs% decreased from baseline, IL-10 did not show changes, and IL-17 increased due to high inflammation. ROC analysis showed that the Tregs% and IL-17 are better predictors of graft outcome. However, the association between biomarkers with graft function couldn’t be evaluated which needs further studies.