Evidence map›Paper›PMID 40844500›Full record

ArticleClinical transplantation2025

Altered Immune Profiles in Non-Failing Heart Donors With Induced Long QT Syndrome: A Potential Risk Factor for Cardiac Allograft Vasculopathy.

Zhi Wen, Shuai Shao, Yu Feng, Zheng Wang, Jianqiang Wu, Changxue Wu, Mingwu Tian

Abstract read
In one paragraph

Article in Clinical transplantation, 2025. 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

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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

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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.

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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.

Zhi WenDepartment of Cardiothoracic Vascular Surgery, People's Hospital of Deyang City, Deyang, Sichuan, P.R. China.ORCID https://orcid.org/0009-0005-2527-0669
Shuai ShaoCollege of Pharmacy, The Ohio State University, Columbus, Ohio, USA.
Yu FengDepartment of Nephrology, People's Hospital of Deyang City, Deyang, Sichuan, P.R. China.
Zheng WangDepartment of Cardiothoracic Vascular Surgery, People's Hospital of Deyang City, Deyang, Sichuan, P.R. China.
Jianqiang WuDepartment of Cardiothoracic Vascular Surgery, People's Hospital of Deyang City, Deyang, Sichuan, P.R. China.
Changxue WuDepartment of Cardiothoracic Vascular Surgery, People's Hospital of Deyang City, Deyang, Sichuan, P.R. China.
Mingwu TianDepartment of Cardiothoracic Vascular Surgery, People's Hospital of Deyang City, Deyang, Sichuan, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCardiac allograft vasculopathy (CAV) develops more aggressively in recipients of hearts from brain-dead (BD) donors with induced long QT syndrome (iLQTS), yet the underlying mechanisms remain poorly understood. In this study, we employ a multi-omics and experimental framework to explore the role of neuro-immune interactions in non-failing donor hearts affected by iLQTS.

methodsSingle-nuclei RNA sequencing (snRNA-seq) compared four iLQTS and four non-arrhythmic non-failing donor hearts. Pathway enrichment and cell-cell communication were assessed. Plasma proteome data from BD donors and neuronal differentially expressed (DE) genes were integrated via Omicsnet. Human BD donor transcriptomes data were analyzed for immune correlation.

resultsILQTS hearts showed elevated T/mast cells and upregulated leukocyte migration/focal adhesion pathways. Neuronal signaling (NGF, HSPG) and adhesion molecules (ITGB1, LAMININ) drove immune trafficking. Integrative proteomics identified ITGB1 as a central hub linking neuronal DE genes to BD-associated plasma proteins. Human validation linked activated CD4

conclusionsNeuro-immune dysregulation and integrin signaling related T cell activation underlie iLQTS-related heart donors. Targeting neuronal-integrin crosstalk may reduce CAV progression and improve transplant outcomes.

Indexed as

BiomarkersHeart TransplantationLong QT SyndromeTissue DonorsVascular DiseasesAdultFemaleFollow-Up StudiesHumansMaleMiddle AgedPrognosisRisk FactorsBiomarkersantibody‐mediated rejectionbrain dead donorsbrain‐heart axiscardiac allograft vasculopathyinverted recognitionlong QT syndromeneuroimmunology

Identifiers

PMID40844500
PMCPMC12372863

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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.