Evidence map›Paper›PMID 38790263›Full record

SynthesisGenes2024

Evaluation of Toll-like Receptor 4 (TLR4) Involvement in Human Atrial Fibrillation: A Computational Study.

Paolo Fagone, Katia Mangano, Maria Sofia Basile, José Francisco Munoz-Valle, Vincenzo Perciavalle, Ferdinando Nicoletti, Klaus Bendtzen

Abstract readMeta-Analysis
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Genes, 2024. 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. Shared genetic associations between CHAInternational journal of cardiology. Cardiovascular risk and prevention · 2025
    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.

Paolo FagoneDepartment of Biomedical and Biotechnological Sciences, University of Catania, Via S. Sofia 89, 95123 Catania, Italy.ORCID 0000-0002-6694-1992
Katia ManganoDepartment of Biomedical and Biotechnological Sciences, University of Catania, Via S. Sofia 89, 95123 Catania, Italy.ORCID 0000-0001-5920-4620
Maria Sofia BasileFaculty of Medicine, Kore University, 94100 Enna, Italy.ORCID 0000-0002-4811-4694
José Francisco Munoz-ValleInstitute for Research in Biomedical Sciences, University Center for Health Sciences, University of Guadalajara, Guadalajara 44100, Jalisco, Mexico.ORCID 0000-0002-2272-9260
Vincenzo PerciavalleFaculty of Medicine, Kore University, 94100 Enna, Italy.
Ferdinando NicolettiDepartment of Biomedical and Biotechnological Sciences, University of Catania, Via S. Sofia 89, 95123 Catania, Italy.ORCID 0000-0002-4570-8462
Klaus BendtzenInstitute for Inflammation Research, Rigshospitalet University Hospital, 2100 Copenhagen, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the present study, we have explored the involvement of Toll-like Receptor 4 (TLR4) in atrial fibrillation (AF), by using a meta-analysis of publicly available human transcriptomic data. The meta-analysis revealed 565 upregulated and 267 downregulated differentially expressed genes associated with AF. Pathway enrichment analysis highlighted a significant overrepresentation in immune-related pathways for the upregulated genes. A significant overlap between AF differentially expressed genes and TLR4-modulated genes was also identified, suggesting the potential role of TLR4 in AF-related transcriptional changes. Additionally, the analysis of other Toll-like receptors (TLRs) revealed a significant association with TLR2 and TLR3 in AF-related gene expression patterns. The examination of MYD88 and TICAM1, genes associated with TLR4 signalling pathways, indicated a significant yet nonspecific enrichment of AF differentially expressed genes. In summary, this study offers novel insights into the molecular aspects of AF, suggesting a pathophysiological role of TLR4 and other TLRs. By targeting these specific receptors, new treatments might be designed to better manage AF, offering hope for improved outcomes in affected patients.

Indexed as

Atrial FibrillationToll-Like Receptor 4Adaptor Proteins, Vesicular TransportComputational BiologyGene Expression ProfilingHumansMyeloid Differentiation Factor 88Signal TransductionToll-Like Receptor 2TranscriptomeAdaptor Proteins, Vesicular TransportMYD88 protein, humanMyeloid Differentiation Factor 88TICAM1 protein, humanTLR2 protein, humanTLR4 protein, humanToll-Like Receptor 2Toll-Like Receptor 4atrial fibrillationcomputational studyTLR4Toll-like receptors

Identifiers

PMID38790263
PMCPMC11121426

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Registered trials

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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.