Cell-free DNA as a plausible biomarker of chronic kidney disease

  • TA Berezina
  • , AE Berezin* (Last author)
  • *Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

4 Citations (Web of Science)

Abstract

Circulating cell-free DNA (cf-DNA) is released from dead and/or apoptotic leukocytes and due to neutrophil extracellular traps contributing to an inflammatory response. Previous clinical studies have reported that the peak concentrations and dynamic changes of cf-DNA may be used as a noninvasive biomarker of worsening kidney function as well as a guide to the management of kidney allograft rejection. We hypothesized that the pattern and dynamic changes of cf-DNA might be a plausible predictive biomarker for patients at risk of chronic kidney disease (CKD), including individuals with type 2 diabetes mellitus, heart failure, cardiovascular disease and established CKD. Along with it, pre- and posthemodialysis levels of serum cf-DNA appear to be a independent predictor for all-cause mortality in patients with end-stage kidney disease. Plain language summary: What is this article about?: The article focuses a new view on the risk of kidney function worsening and relating complications based on measurements of circulating fragments of DNA (called nucleotides). What were the results?: The results showed that a measure of circulating fragments of DNA may detect both the risk of occurrence and the progression of chronic kidney disease in certain patient populations. What do the results of the study mean?: The study indicates that a strategy of single and serial measurements of circulating DNA fragments is likely to be effective for personalized management of patients with chronic kidney disease, including those on dialysis and after kidney transplantation. Tweetable abstract: Circulating cell-free DNA appears to be a plausible biomarker for risk of chronic kidney disease development and progression.
Original languageEnglish
Pages (from-to)879-890
Number of pages12
JournalEpigenomics
Volume15
Issue number17
Early online dateOct 2023
DOIs
Publication statusPublished - Sept 2023

Keywords

  • biomarkers
  • cell-free DNA
  • chronic kidney disease
  • clinical decision-making
  • end-stage kidney disease
  • kidney allograft rejection
  • kidney failure
  • kidney injury
  • TYPE-2 DIABETES-MELLITUS
  • FREE MITOCHONDRIAL-DNA
  • FREE PLASMA DNA
  • HEMODIALYSIS-PATIENTS
  • CIRCULATING DNA
  • REJECTION
  • ASSOCIATIONS
  • INFLAMMATION
  • METHYLATION

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