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Updated: Jan 8, 2026

Author Spotlight: Enhancing Graft Viability Assessment Through Quantitative Metrics and Innovative Reservoir Systems
Published on: August 2, 2024
Recipient plasma metabolomics as a predictor of heart transplant severe primary graft dysfunction
Joshua D Preston1, Clayton J Rust2, Aubrey C Reed2
1Division of Cardiothoracic Surgery, Department of Surgery, Emory University School of Medicine, Atlanta, Georgia, USA; Division of Pulmonary, Allergy, Critical Care, and Sleep Medicine, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia, USA.
Abstract:
Primary graft dysfunction (PGD) is a leading cause of morbidity and mortality following orthotopic heart transplantation (OHT), yet its biology remains unclear, and metabolomics research is limited. A single-center study was conducted on 62 OHT recipients. Preoperative plasma samples underwent metabolomics analysis via liquid chromatography-mass spectrometry. Metabolic signatures of severe PGD were identified using partial least squares discriminant analysis and pathway enrichment analysis of untargeted data, with additional analysis of annotated and identified metabolites. Partial least squares discriminant analysis of combined mass spectral signals from preoperative plasma showed clustering of patients who developed severe PGD. Pathway enrichment highlighted alterations in arachidonic acid, tryptophan, tyrosine, and branched-chain amino acid metabolism as key preoperative predictors of severe PGD. Preoperative blood levels of 75 metabolites, spanning inflammatory lipids, amino acids, and redox-active species, differed (P < .05) between patients who developed severe PGD and those who did not, although only 3 remained significantly different after correction for multiple comparisons (q < .05). Taken together, these exploratory findings demonstrate that distinct preoperative metabolic profiles exist in OHT recipients who develop severe PGD and support hypothesis generation on candidate metabolic signatures to identify patients at high risk. They suggest that the plasma metabolome may be a powerful tool for studying PGD biology.

