Precision monitoring of kidney transplant health via cell-free DNA and RNA

PURPOSE OF REVIEW: Cell-free nucleic acids (cfNAs) in plasma and urine have emerged as noninvasive biomarkers for monitoring kidney transplant health. This review summarizes recent advances in the development of cell-free DNA (cfDNA) and cell-free RNA (cfRNA) assays for immune and infection-related complications, and discusses their potential to enable precision monitoring of allograft health. RECENT FINDINGS: Large prospective multicenter studies have established donor-derived cfDNA as a robust biomarker of acute allograft rejection, with increasing evidence supporting the use of cfDNA for surveillance, prognostication, and integration with complementary molecular and clinical biomarkers. Metagenomic cfDNA assays enable broad detection of bacterial, viral, and fungal pathogens. More recently, cfRNA profiling has emerged as a complementary approach that captures tissue-type and cell-type-specific transcriptional activity, providing molecular insight into immune activation, tissue injury, and disease mechanisms. Urine cfRNA is particularly promising because of its enriched representation of kidney-derived transcripts. SUMMARY: Cell-free nucleic acid assays are reshaping the management of kidney transplant recipients by enabling noninvasive assessment of rejection, infection, and allograft injury. Continued advances in sequencing technologies, computational methods, and multimodal biomarker integration are expected to accelerate their clinical adoption and improve precision care for transplant recipients.

Authors

Institutions

Publication Details

Journal
Current Opinion in Organ Transplantation
Published
2026-08-25
DOI
https://doi.org/10.1097/mot.0000000000001309
Primary Topic
Renal Transplantation Outcomes and Treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Precision monitoring of kidney transplant health via cell-free DNA and RNA

Iwijn De Vlaminck, John R. Lee, Darshana M. Dadhania, Maya S. Schlesinger
Current Opinion in Organ Transplantation
Renal Transplantation Outcomes and Treatments
article

Precision monitoring of kidney transplant health via cell-free DNA and RNA

Iwijn De Vlaminck, John R. Lee, Darshana M. Dadhania, Maya S. Schlesinger
article en

Abstract

PURPOSE OF REVIEW: Cell-free nucleic acids (cfNAs) in plasma and urine have emerged as noninvasive biomarkers for monitoring kidney transplant health. This review summarizes recent advances in the development of cell-free DNA (cfDNA) and cell-free RNA (cfRNA) assays for immune and infection-related complications, and discusses their potential to enable precision monitoring of allograft health. RECENT FINDINGS: Large prospective multicenter studies have established donor-derived cfDNA as a robust biomarker of acute allograft rejection, with increasing evidence supporting the use of cfDNA for surveillance, prognostication, and integration with complementary molecular and clinical biomarkers. Metagenomic cfDNA assays enable broad detection of bacterial, viral, and fungal pathogens. More recently, cfRNA profiling has emerged as a complementary approach that captures tissue-type and cell-type-specific transcriptional activity, providing molecular insight into immune activation, tissue injury, and disease mechanisms. Urine cfRNA is particularly promising because of its enriched representation of kidney-derived transcripts. SUMMARY: Cell-free nucleic acid assays are reshaping the management of kidney transplant recipients by enabling noninvasive assessment of rejection, infection, and allograft injury. Continued advances in sequencing technologies, computational methods, and multimodal biomarker integration are expected to accelerate their clinical adoption and improve precision care for transplant recipients.

Current Opinion in Organ Transplantation
NewYork–Presbyterian Hospital (US), Cornell University (US), New York Hospital Queens (US), Weill Cornell Medicine (US), University of Pennsylvania (US)
Good health and well-being
Openalex Percentile: Top 8%
Renal Transplantation Outcomes and Treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.