Evidence map›Paper›PMID 29754254›Full record

ReviewJournal of molecular medicine (Berlin, Germany)2018

Interplay between cardiac transcription factors and non-coding RNAs in predisposing to atrial fibrillation.

Alexander T Mikhailov, Mario Torrado

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of molecular medicine (Berlin, Germany), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.6field-weighted citation impact, top 32% of its field
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

10 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Non-coding RNAs regulating mitochondrial function in cardiovascular diseases.Journal of molecular medicine (Berlin, Germany) · 2023
    Review
  4. Article
  5. Review
  6. Long noncoding RNA and atrial fibrillation.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2021
    Article
  7. Review
  8. Review
  9. Genome-wide analysis of circular RNA expression profiles in patients with atrial fibrillation.International journal of clinical and experimental pathology · 2020
    Article
  10. Review
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

2 authors at 1 institution in 1 country.

Alexander T MikhailovInstitute of Health Sciences, University of A Coruña, Campus de Oza, Building El Fortin, E-15006, A Coruña, Spain. a.mikhailov@udc.es.ORCID 0000-0002-1146-4113
Mario TorradoInstitute of Health Sciences, University of A Coruña, Campus de Oza, Building El Fortin, E-15006, A Coruña, Spain.
Universidade da Coruña · ES

Funding

Consellería de Cultura, Educación e Ordenación Universitaria, Xunta de Galicia GRC 2013/061
6 · The paper itself

Abstract

There is growing evidence that putative gene regulatory networks including cardio-enriched transcription factors, such as PITX2, TBX5, ZFHX3, and SHOX2, and their effector/target genes along with downstream non-coding RNAs can play a potentially important role in the process of adaptive and maladaptive atrial rhythm remodeling. In turn, expression of atrial fibrillation-associated transcription factors is under the control of upstream regulatory non-coding RNAs. This review broadly explores gene regulatory mechanisms associated with susceptibility to atrial fibrillation-with key examples from both animal models and patients-within the context of both cardiac transcription factors and non-coding RNAs. These two systems appear to have multiple levels of cross-regulation and act coordinately to achieve effective control of atrial rhythm effector gene expression. Perturbations of a dynamic expression balance between transcription factors and corresponding non-coding RNAs can provoke the development or promote the progression of atrial fibrillation. We also outline deficiencies in current models and discuss ongoing studies to clarify remaining mechanistic questions. An understanding of the function of transcription factors and non-coding RNAs in gene regulatory networks associated with atrial fibrillation risk will enable the development of innovative therapeutic strategies.

Indexed as

Disease SusceptibilityGene Expression RegulationAnimalsAtrial FibrillationBiomarkersHumansMicroRNAsModels, BiologicalMyocardiumRNA, UntranslatedTranscription FactorsBiomarkersMicroRNAsRNA, UntranslatedTranscription FactorsAtrial fibrillationAtrial myocardiumGene regulatory networksNon-coding RNAsTranscription factors

Identifiers

PMID29754254
OpenAlexW2799555655

What OpenQuestion holds

Textmetadata
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.