Evidence map›Paper›PMID 40979587›Full record

ArticleTransplantation direct2025

Exosomal Small RNA From Donor Liver Preservation Solution Exhibits Molecular Signatures That Distinguish Organ Quality and Posttransplant Complications.

Carly M Darden, Giovanna Saracino, Nazokat Otajonova, Srividya Vasu, Xuan Wang, Nicholas Onaca, Bashoo Naziruddin, Anji Wall

Abstract read
In one paragraph

Article in Transplantation direct, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Carly M DardenAnnette C. and Harold C. Simmons Transplant Institute, Baylor University Medical Center, Dallas, TX.ORCID https://orcid.org/0000-0002-0941-6403
Giovanna SaracinoAnnette C. and Harold C. Simmons Transplant Institute, Baylor University Medical Center, Dallas, TX.
Nazokat OtajonovaAnnette C. and Harold C. Simmons Transplant Institute, Baylor University Medical Center, Dallas, TX.
Srividya VasuCenter for Depression Research and Clinical Care, Peter O'Donnell Jr. Brain Institute, Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX.
Xuan WangBaylor Scott and White Research Institute, Dallas, TX.
Nicholas OnacaLifeGift, Fort Worth, TX.
Bashoo NaziruddinAnnette C. and Harold C. Simmons Transplant Institute, Baylor University Medical Center, Dallas, TX.
Anji WallAnnette C. and Harold C. Simmons Transplant Institute, Baylor University Medical Center, Dallas, TX.ORCID https://orcid.org/0000-0002-7359-1337

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Liver transplantation remains the optimal treatment for end-stage liver disease; however, the selection of suitable donors is often reliant on tissue biopsies that are invasive and reflective of only a portion of the liver. Prediction of posttransplant graft function or complications by molecular analyses of RNA profiles released by the liver during preservation would provide a more comprehensive and timely intervention to optimize recipient selection and survival. Methods: We collected exosomes from liver preservation fluid and identified differentially expressed small RNA profiles for different donor types and recipient outcomes. Our cohort consisted of donors after circulatory death or brain death, as well as living donors. Significant changes were determined by statistical analysis. Results: We demonstrate a successful method to collect exosomes from preservation fluid and isolate sufficient small RNA for sequencing analysis. MicroRNA (miRNA) profiles identified distinct groupings of living donors and donors after circulatory death types, with donor after circulatory death miRNA profiles providing a set of stress-induced biomarkers that project a greater propensity for poor function based on bioinformatic algorithms. Similarly, distinct miRNA profiles were expressed in different posttransplant complication groups. Conclusions: This method of exosomal collection for predictive miRNA signatures supports a promising technique for noninvasive sample collection to support patient-centered therapy after liver transplantation by identifying biomarkers for transplant outcomes.

Identifiers

PMID40979587
PMCPMC12448168

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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 Socratic graph.