ArticleMetabolomics : Official journal of the Metabolomic Society2024
Untargeted NMR-based metabolomics analysis of kidney allograft perfusates identifies a signature of delayed graft function.
Article in Metabolomics : Official journal of the Metabolomic Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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Who cites it
4 citing papers in PubMed, 4 citations in OpenAlex.
- Alkaline Phosphatase Supplementation During Hypothermic and Normothermic Machine Perfusion Improves Metabolic Dysfunction in a Porcine Model of Donor Kidney Preservation.Transplantation direct · 2026Article
- Simultaneous Ex Situ Normothermic Perfusion of Paired Kidneys in Pigs.Artificial organs · 2025Article
- Longitudinal NMR-based Metabolomics Analysis of Male Mountain Ultramarathon Runners: New Perspectives for Athletes Monitoring and Injury Prevention.Sports medicine - open · 2025Article
- Metabolic Choreography of Energy Substrates During DCD Heart Perfusion.Transplantation direct · 2024Article
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionKidney transplantation (KTx) necessarily conveys an ischemia/reperfusion (I/R) process, which impacts on allograft outcomes. Delayed graft function (DGF) is defined as a non-decrease of serum creatinine by at least 10% daily on 3 consecutive days during the first 7 days post-KTx. DGF significantly conditions both short- and long-term graft outcomes. Still there is a lack of DGF predictive biomarkers.
objectivesThis study aimed to explore the potential of kidney graft perfusate metabolomics to predict DGF occurrence.
methods49 human perfusates from grafts categorized upon donor type [donation after brain death (DBD)/donation after circulatory death (DCD)] and DGF occurrence and 19 perfusates from a murine model classified upon death type (DBD/DCD) were collected and analyzed by NMR-based metabolomics.
resultsThe multivariate analysis of the murine data highlighted significant differences between perfusate metabolomes of DBD versus DCD. These differences were similarly observed in the human perfusates. After correcting for the type of donor, multivariate analysis of human data demonstrated a metabolomics signature that could be correlated with DGF occurrence.
conclusionsThe metabolome of kidney grafts is influenced by the donor's type in both human and pre-clinical studies and could be correlated with DGF in the human DBD cohort. Thus, metabolomic analysis of perfusate applied prior to KTx may represent a new predictive tool for clinicians in a more personalized management of DGF. Moreover, our data paves the way to better understand the impact of donor's types on the biochemical events occurring between death and the hypothermic storage.
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