Evidence map›Paper›PMID 41775898›Full record

ArticleNPJ cardiovascular health2024

Transcriptomic analysis of circulating extracellular vesicles during the perioperative period of Fontan and Glenn surgery.

Felipe Takaesu, Khalid Yasseen, Evan Yang, Hyun-Ji Park, John M Kelly, Christopher K Breuer, Michael E Davis

Abstract read
In one paragraph

Article in NPJ cardiovascular health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Unifying and unique roles of non-coding RNA biomarkers in liver and heart fibrosis.Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · 2026
    Review
  2. 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

7 authors.

Felipe Takaesu *Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology & Emory University, Atlanta, GA, USA.
Khalid Yasseen *Frank H. Netter School of Medicine, Quinnipiac University, North Haven, CT, USA.
Evan YangWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology & Emory University, Atlanta, GA, USA.
Hyun-Ji ParkDepartment of Molecular Science and Technology, Ajou University, Suwon, 16499, Korea.
John M KellyCenter for Regenerative Medicine, Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, OH, USA.
Christopher K BreuerCenter for Regenerative Medicine, Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, OH, USA.
Michael E DavisWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology & Emory University, Atlanta, GA, USA. michael.davis@bme.emory.edu.

Funding

Additional Ventures Cures Collaborative
6 · The paper itself

Abstract

Single-ventricle defects are treated with the Glenn and Fontan procedures, which offer lifesaving relief but result in lifelong complications. To address the lack of outcome predictors, we conducted an untargeted transcriptomic analysis to identify RNA biomarkers in serum and circulating sEVs from 25 Glenn or Fontan patients with three samples exclusively used for experimental assays. Unsupervised analysis revealed a distinction between pre-op and post-op samples in both surgical groups. Differential gene expression and pathway analysis showed enrichment for pro-angiogenic cargo in post-op sEVs compared to pre-op sEVs. Wound healing assays revealed post-op Fontan sEVs induce a stronger pro-angiogenic response than pre-op Fontan sEVs. A PLSR-guided approach revealed MAPK6, GLE1, hsa-miR-340-5p, and hsa-miR-199b-5p as key transcripts in the observed wound healing response. Lastly, EV-Origin revealed decreased secretion of sEV from cardiac tissue and increased secretion from brain tissue for both Fontan and Glenn samples. This work demonstrates the potential of sEV RNAs as biomarkers for patients with Fontan physiology, enabling quicker diagnosis for Fontan-associated complications.

Identifiers

PMID41775898
PMCPMC12912405

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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.