Evidence map›Paper›PMID 40130991›Full record

ArticleAnatolian journal of cardiology2025

Transcriptomic Landscape of Human Left and Right Atria Associated with Atrial Fibrillation.

Günseli Çubukçuoğlu Deniz

Abstract read
In one paragraph

Article in Anatolian journal of cardiology, 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

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. Article
  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

1 author.

Günseli Çubukçuoğlu DenizStem Cell Institute, Ankara University, Ankara, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAtrial fibrillation (AF) is the most common acquired cardiac rhythm disorder and has become a notable public health concern. Investigating the left versus right atrium (RA) transcriptome in AF is crucial because it provides insights into the gene expression changes that drive the molecular mechanisms underlying AF, potentially leading to targeted therapies and better patient outcomes. In this study, it is proposed that variances in the transcriptomic profiles between the human left atrium (LA) and RA, as well as alterations in molecular pathways, could offer potential targets for the onset and persistence of AF.

methodsHere transcriptomes of LA and RA of patients (n = 31) undergoing mitral valve surgery were compared. Microarrays proceeded on the Affymetrix platform. Bioinformatic analyses were done on Partek Genomics Suite. Gene ontology, KEGG pathway, and functional enrichment analysis was conducted using differentially expressed genes on WebGestalt.

resultsNotably, transforming growth factor-β (TGF-β) and peroxisome proliferator-activated receptors signaling pathways were enriched commonly. Claudin 18, which encodes a tight junction transmembrane protein, was one of the most upregulated genes in LA. PITX2 (paired like homeodomain 2) gene upregulation in LA is also involved in TGF-β signaling. Alongside the upregulation of TGF-β signaling, overexpression of extracellular matrix proteins like collagen, vitronectin, fibronectin, and thrombospondin also points out the cardiac fibrosis process preceded in LA, where AF originates.

conclusionsIn brief, comparisons of the AF-related transcriptomic landscapes of LA and RA propose targets for novel therapeutic and/or preventive strategies. This study highlights clinical evidence of genetic-based cardiac remodeling that could guide future therapeutic and preventive strategies.

Indexed as

Atrial FibrillationHeart AtriaTranscriptomeAgedFemaleGene Expression ProfilingHumansMaleMiddle Aged

Identifiers

PMID40130991
PMCPMC12053312

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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 OpenQuestion graph.