2022
DOI: 10.1111/ajt.17127
|View full text |Cite
|
Sign up to set email alerts
|

Pretransplant kidney transcriptome captures intrinsic donor organ quality and predicts 24-month outcomes

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
10
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
7

Relationship

0
7

Authors

Journals

citations
Cited by 8 publications
(10 citation statements)
references
References 71 publications
0
10
0
Order By: Relevance
“…Other researchers focused on molecular investigations with tools such as epigenetics, transcriptomics, proteomics, and metabolomics [ 54 ]. A recent study reported the potential role of pretransplant transcriptomic biomarkers for predicting posttransplant outcome [ 55 ]. However, this promising result should be confirmed by larger studies, and the clinical application remains doubtful.…”
Section: Risk Factors For Dgfmentioning
confidence: 99%
“…Other researchers focused on molecular investigations with tools such as epigenetics, transcriptomics, proteomics, and metabolomics [ 54 ]. A recent study reported the potential role of pretransplant transcriptomic biomarkers for predicting posttransplant outcome [ 55 ]. However, this promising result should be confirmed by larger studies, and the clinical application remains doubtful.…”
Section: Risk Factors For Dgfmentioning
confidence: 99%
“…In agreement with this finding, we recently demonstrated that early subclinical kidney injury resulting in defective tubular reabsorption is reflected in protein and metabolic alterations in urine that identified normoalbuminuric subjects within the high-normal range (albumin:creatinine ratio 10–30 mg/g) that have a higher risk of cardiovascular disease and renal function decline [ 42 , 43 ]. The tricarboxylic acid cycle was identified as a key biological pathway in urine of high-risk normoalbuminuric subjects and it is also altered in pre-implantation biopsies taken from kidneys that displayed low function 24 months post-transplantation [ 26 ]. In a similar manner, the levels of plasma donor mitochondrial DNA (dmtDNA), a surrogate marker of tissue damage, correlated with donor AKI and DGF, as well as with 6-month allograft function and 1-year graft survival [ 44 ].…”
Section: Predicting Short- Medium- and Long-term Post-transplant Kidn...mentioning
confidence: 99%
“…Few studies have used donor samples, and even fewer in the context of predicting long-term function (beyond 12 months). Very recently, a transcriptomic profile of pre-implantation biopsies was shown to predict 24-month graft function [ 26 ]. However, novel biological indicators are needed to more accurately rank available kidneys according to long-term outcome potential [ 27–29 ].…”
Section: Introductionmentioning
confidence: 99%
“…In the current issue, Archer et al describe the development of a transcriptomic tool for evaluating deceased donor organ quality. 3 In their study, a training set of 174 deceased donor pretransplant biopsies was used to assess the utility of pretransplant gene expression profiles in predicting 24-month outcomes after kidney transplantation. Gene expression for a subset of candidate genes was then measured in an independent set of 96 pretransplant biopsies, and a risk calculator was created using 13 genes and three donor characteristics (age, race, BMI), with good predictive performance, outperforming e.g., KDPI.…”
mentioning
confidence: 99%
“…In the current issue, Archer et al describe the development of a transcriptomic tool for evaluating deceased donor organ quality 3 . In their study, a training set of 174 deceased donor pretransplant biopsies was used to assess the utility of pretransplant gene expression profiles in predicting 24‐month outcomes after kidney transplantation.…”
mentioning
confidence: 99%