In a recent study published within the Journal of Internal Medicine, researchers observe that kidney transplantation (KT) mitigates the results of renal aging.

Study: Epigenetic clocks indicate that kidney transplantation and never dialysis mitigate the results of renal aging. Image Credit: H_Ko / Shutterstock.com

Treating chronic kidney disease

Chronic kidney disease (CKD) is an age-related disease and exhibits an accelerated aging phenotype. The reduced clearance of uremic toxins during CKD leads to the buildup of toxic solutes that contribute to endothelial dysfunction, chronic inflammatory burden, and increased oxidative stress.

KT is currently the perfect treatment for kidney failure; nevertheless, it’s related to certain challenges, similar to organ rejection/dysfunction risk, limited kidney lifespan, and the necessity for immunosuppression. Likewise, dialysis has limitations, including an increased infection risk, expensive, reduced quality of life, low efficacy, and an increased risk of additional oxidative stress and inflammation. Moreover, whether dialysis or KT decelerates or reverses the aging related to CKD stays unknown.

In regards to the study

In the current study, researchers estimate the biological age of CKD patients at stages G3 (moderate decrease in kidney function) to G5 (kidney failure) using DNA methylation (DNAm), skin autofluorescence (SAF), and phenotypic age (PA) methods. The PA cohort included controls and patients with CKD at stages G3-4 and G5, whereas the DNAm cohort comprised CKD G5 patients initiating dialysis or KT and controls. The SAF cohort comprised end-stage kidney disease (ESKD) patients.

Blood samples were collected at baseline to estimate serum creatinine, albumin, interleukin 6 (IL-6), hemoglobin, high-sensitivity C-reactive protein (hs-CRP), white blood cell count, intact parathyroid hormone (iPTH), calcium, triglycerides, cholesterol, and phosphate.

PA was estimated based on chronological age and nine biomarkers, including CRP, albumin, alkaline phosphatase, leucocyte count, red blood cell (RBC) volume, lymphocyte percentage, serum glucose, creatinine, and RBC distribution width.

SAF was determined at blood sample collection using an Autofluorescence advanced glycation end products (AGE) reader. For DNAm evaluation, whole blood samples were obtained from kidney failure patients at baseline, defined as pre-dialysis initiation or pre-KT, and after one 12 months. DNA was extracted, and its concentration and integrity were assessed.

DNAm was measured, and beta values, which reflect percent methylation per locus, were calculated. DNAm age was estimated from the beta values using three DNAm clocks, including the PhenoAge, Hannum, and Horvath clocks.

Age acceleration, which is defined because the difference between chronological and DNAm age, was calculated for every clock. Subjects were followed up for 60 months or until KT/death.

Study findings

The researchers examined PA in 333 individuals, 56.5% of whom were males, 24.6% had heart problems (CVD), and 24% had diabetes. PA and chronological age were associated in controls and CKD G3-4 patients. The CKD G5 group exhibited high PA, and the correlation with chronological age was significant but low.

Elevated PA was related to reduced estimated glomerular filtration rate (eGFR), albumin, hand grip strength (HGS), hemoglobin, high-density lipoprotein (HDL), and better triglycerides, hs-CRP, systolic blood pressure, iPTH, and IL-6 levels.

The SAF cohort included 199 subjects, 65.3% of whom were male. Roughly 20% of the SAF cohort had diabetes or CVD.

The correlation between chronological and SAF age was moderate in CKD G5 patients. Increased SAF age was related to reduced albumin and HGS and better hs-CRP and IL-6 levels.

The DNAm cohort consisted of 47 individuals. The three DNAm clocks were accurate, and their median absolute error was consistent with previously reported estimates.

The mean DNAm age, which is a composite average of the three clocks, was 49.2. The typical age acceleration difference between KT or dialysis group and controls was 4.9 or 5.9 years, respectively. There was a weak correlation between chronological and DNAm age within the KT group relative to dialysis and control groups at baseline.

The three clocks were related to greater age acceleration in KT and dialysis groups than in controls. PhenoAge and composite DNAm age acceleration significantly declined one 12 months following KT relative to baseline; nevertheless, there have been no significant changes in age acceleration a 12 months post-dialysis. Notably, the KT group exhibited improvements in kidney function measures.

Conclusions

The study findings confirm that CKD promotes accelerated aging. Furthermore, SAF and PA were found to be unsuitable aging biomarkers, as they generate implausibly high biological age estimates.

Although SAF and PA accurately indicate higher morbidity and mortality risks, they overestimate the magnitude of the danger. DNAm clocks performed higher, thus suggesting that DNAm may function a superior biomarker for biological age estimation in CKD.

ESKD patients exhibit epigenetic age acceleration using three epigenetic clocks and a composite average of the three clocks. Nonetheless, the weaker correlation between chronological and DNAm aging within the KT group could also be attributed to the smaller sample size.

Furthermore, age acceleration was reduced one 12 months after KT, whereas dialysis had no effect on age acceleration.