Abstract: TH-PO899
Pre-Transplant Biomarkers of Cellular Senescence Are Associated with Death with Function After Kidney Transplantation
Session Information
- Transplantation: Donation and Access
November 02, 2023 | Location: Exhibit Hall, Pennsylvania Convention Center
Abstract Time: 10:00 AM - 12:00 PM
Category: Transplantation
- 2102 Transplantation: Clinical
Authors
- Lorenz, Elizabeth C., Baylor College of Medicine, Houston, Texas, United States
- Bentall, Andrew J., Mayo Clinic Minnesota, Rochester, Minnesota, United States
- Smith, Byron H., Mayo Clinic Minnesota, Rochester, Minnesota, United States
- Park, Walter, Mayo Clinic Minnesota, Rochester, Minnesota, United States
- Hickson, LaTonya J., Mayo Clinic in Florida, Jacksonville, Florida, United States
- Rule, Andrew D., Mayo Clinic Minnesota, Rochester, Minnesota, United States
- Lebrasseur, Nathan, Mayo Clinic Minnesota, Rochester, Minnesota, United States
- Stegall, Mark D., Mayo Clinic Minnesota, Rochester, Minnesota, United States
Background
Cellular senescence has associated with aging and medical risk in non-transplant populations. The goal of this study was to examine the relationship between pre-transplant biomarkers of cellular senescence and death with function after kidney transplantation.
Methods
We conducted a prospective, observational cohort study involving consecutive adult patients who received a kidney transplant at Mayo Clinic in Minnesota between 1/2006 and 12/2018. We measured biomarkers of cellular senescence in pre-transplant serum. Cox analyses, Kaplan Meier survival analyses, and gradient boosting machine modeling were used to examine the relationship between biomarkers and death with function after kidney transplantation.
Results
Our cohort consisted of 1,595 kidney transplant recipients, of whom 62.9% were male and 83.2% were non-Hispanic white. Over a mean follow-up time of 7.4 ± 3.9 years, 19.7% of patients (n=315) experienced death with function. Higher levels of growth differentiation factor-15 (GDF-15), interleukin-6 (IL-6), monokine induced by gamma interferon (MIG), and soluble tumor necrosis factor receptor-1 (sTNF-R1) were associated with death with function. Adding these biomarkers to a clinical Cox model improved the C-statistic for death with function from 0.732 to 0.750, while using a gradient boosting machine modeling approach instead improved the C-statistic to 0.768.
Conclusion
Pre-transplant biomarkers of cellular senescence predict death with function after kidney transplantation. Measuring serum concentrations of GDF-15, IL-6, MIG, and sTNF-R1 may help risk stratify kidney transplant candidates.
Funding
- NIDDK Support