Abstract
Objectives: Allograft rejection is the most common event that occurs posttransplant and the current diagnostic tools like the measurement of serum creatinine or core kidney biopsy could not serve as a predictive tool and have certain drawbacks. Thus, our target was to find potential, non-invasive, and predictive biomarkers which could identify recipients at the risk of post-transplant allograft rejection. Methods: It is a prospective longitudinal cohort study comprising of 40 live-related kidney transplant recipients whose peripheral blood was collected at three time points viz pre, one and threemonths post-transplant to assess the plasma cytokine levels of FOXP3, IL- 6, IL-17 and TGF-b using Enzyme linked immunosorbent assay (ELISA). The patients were clinically followed for period of two years to determine their posttransplant outcome. Findings: 13 of our recipients had biopsy proven allograft rejection at the end of follow-up period. The pre-transplant concentration of FOXP3 were less in the rejection group whereas the concentration of IL-6, IL- 17 and TGF- b were more in the rejection group (p<0.05). The classification accuracy of the markers FOXP3, TGF- b , IL-17 and IL-6 were assessed and they had an AUC of 1.0, 1.0, 0.96 and 0.84 respectively with high sensitivity, specificity, and statistical significance. Novelty: Pre-transplant levels of plasma cytokines were able to predict recipients at the risk of allograft rejection. Thus, our study confirms the predictive power of our cytokine biomarkers FOXP3, IL- 6, IL-17 and TGF-b and further paves way for personalized immunosuppressive regimen. Keywords: Predictive Biomarkers; Allograft Rejection; FOXP3; IL6; IL17; TGFb
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.