Evidence map›Paper›PMID 38884757›Full record

ReviewAdvances in experimental medicine and biology2024

Molecular Pathways and Animal Models of Tricuspid Atresia and Univentricular Heart.

Kamel Shibbani, George Nemer

Abstract readReview
PubMed Publisher
In one paragraph

Review in Advances in experimental medicine and biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Kamel ShibbaniDivision of Cardiology, Department of Pediatrics, University of Iowa Hospitals and Clinics, Iowa City, IA, USA.
George NemerDepartment of Biochemistry and Molecular Genetics, American University of Beirut, Beirut, Lebanon. gn08@aub.edu.lb.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The process of valve formation is a complex process that involves intricate interplay between various pathways at precise times. Although we have not completely elucidated the molecular pathways that lead to normal valve formation, we have identified a few major players in this process. We are now able to implicate TGF-ß, BMP, and NOTCH as suspects in tricuspid atresia (TA), as well as their downstream targets: NKX2-5, TBX5, NFATC1, GATA4, and SOX9. We know that the TGF-ß and the BMP pathways converge on the SMAD4 molecule, and we believe that this molecule plays a very important role to tie both pathways to TA. Similarly, we look at the NOTCH pathway and identify the HEY2 as a potential link between this pathway and TA. Another transcription factor that has been implicated in TA is NFATC1. While several mouse models exist that include part of the TA abnormality as their phenotype, no true mouse model can be said to represent TA. Bridging this gap will surely shed light on this complex molecular pathway and allow for better understanding of the disease process.

Indexed as

Disease Models, AnimalSignal TransductionTricuspid AtresiaAnimalsHumansMiceNFATC Transcription FactorsReceptors, NotchTransforming Growth Factor betaUniventricular HeartNFATC Transcription FactorsReceptors, NotchTransforming Growth Factor betaAtrioventricular canalAV canalBMPEMTEpithelial–mesenchymal transitionGATA4GATA binding protein (GATA)GATA4HEY2LoopingMesenchymal cellsMutant miceNFATC1Nuclear factor of activated T-cells (NFAT)NKX2-5NOTCHSMAD4SMAD family member (SMAD)SMAD4SOX9SRY (sex determining region Y)-box (SOX)SOX9TATBX5TGF-ßTransforming growth factorTricuspid atresiaTrisomy 16Univentricular heartVEGF

Identifiers

PMID38884757

What OpenQuestion holds

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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.