Evidence map›Paper›PMID 40081628›Full record

ArticleThe Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation2025

Metabolic and transcriptomic insights into temperature controlled hypothermic preservation of human donor hearts.

Gaurav Sharma, Ryan J Vela, LaShondra Powell, Stanislaw Deja, Xiaorong Fu, Shawn C Burgess, Craig R Malloy, Michael E Jessen, Matthias Peltz

Abstract read
In one paragraph

Article in The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Gaurav SharmaDepartment of Cardiovascular and Thoracic Surgery, University of Texas Southwestern Medical Center, Dallas, Texas; Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, Texas; Department of Biomedical Engineering, University of Texas Southwestern Medical Center, Dallas, Texas.
Ryan J VelaDepartment of Cardiovascular and Thoracic Surgery, University of Texas Southwestern Medical Center, Dallas, Texas.
LaShondra PowellDepartment of Cardiovascular and Thoracic Surgery, University of Texas Southwestern Medical Center, Dallas, Texas.
Stanislaw DejaCenter for Human Nutrition, University of Texas Southwestern Medical Center, Dallas, Texas.
Xiaorong FuCenter for Human Nutrition, University of Texas Southwestern Medical Center, Dallas, Texas.
Shawn C BurgessCenter for Human Nutrition, University of Texas Southwestern Medical Center, Dallas, Texas.
Craig R MalloyAdvanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, Texas; Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas; Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas.
Michael E JessenDepartment of Cardiovascular and Thoracic Surgery, University of Texas Southwestern Medical Center, Dallas, Texas.
Matthias PeltzDepartment of Cardiovascular and Thoracic Surgery, University of Texas Southwestern Medical Center, Dallas, Texas. Electronic address: Matthias.Peltz@UTSouthwestern.edu.

Funding

UT Southwestern NORCP30DK127984 · NIDDK · UT SOUTHWESTERN MEDICAL CENTER · PI JONATHAN Charles COHEN · 2022 to 2026
$7.4M
Factors controlling metabolic flux in the liver - Supplement RevisionR01DK078184 · NIDDK · UT SOUTHWESTERN MEDICAL CENTER · PI Shawn C Burgess · 2008 to 2026
$6.8M
Sympathetic Control of Liver Metabolism in Exercise and ObesityK01DK133630 · NIDDK · UT SOUTHWESTERN MEDICAL CENTER · PI Stanislaw Marek Deja · 2022 to 2026
$518k
NIDDK NIH HHS K01 DK133630NIDDK NIH HHS P30 DK127984NIDDK NIH HHS R01 DK078184
6 · The paper itself

Abstract

backgroundHeart transplantation (HT) is the gold standard for end-stage heart disease. Donor heart preservation is an important factor that influences post-transplant success. Recently, temperature-controlled storage has demonstrated reduced primary graft dysfunction compared to standard cold storage though mechanisms are poorly understood. We hypothesized that alterations in gene expression and metabolomics offer insight into improved outcomes observed with temperature-controlled storage.

methodsWe conducted a comprehensive study to investigate the metabolic and transcriptomic responses of donor hearts preserved for 6 hours using a temperature-controlled hypothermic preservation (TCHP) system compared to conventional static cold storage (SCS). Metabolic assessments were carried out using high-resolution

resultsMetabolic analyses revealed largely similar profiles between hearts preserved with TCHP and SCS. Energy metabolite ratios were comparable between preservation methods. Transcriptomic analysis unveiled a high correlation between preservation methods but also showed differential gene expression in energy metabolism and inflammation/immune-related pathways.

conclusionsOur study demonstrates that TCHP maintains similar high-energy phosphate reserves to SCS but leads to alterations in gene expression of several metabolic and immunomodulatory pathways. These findings may offer important insight into reduced primary graft dysfunction observed in TCHP- hearts.

Indexed as

CryopreservationHeart TransplantationMyocardiumOrgan PreservationTissue DonorsTranscriptomeAdultFemaleGene Expression ProfilingHumansMaleMetabolomicsMiddle Agedcardiac transplantationcold storagegraft dysfunctionmetabolic assessmentorgan preservationpreservation systemtranscriptomic profiling

Identifiers

PMID40081628
PMCPMC12303764

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.