Evidence map›Paper›PMID 42524635›Full record

ReviewFrontiers in genetics2026

Understanding normal cardiac morphogenesis and its disruptions: a journey through pathways.

Aline L Saliba, Jorge Afiune, Aline Pic-Taylor, Silviene F Oliveira, Juliana F Mazzeu

Abstract readReview
In one paragraph

Review in Frontiers in genetics, 2026. 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

5 authors.

Aline L SalibaPrograma de Pós-graduação em Ciências Médicas, Universidade de Brasília, Brasília, Brazil.
Jorge AfiuneInstituto de Cardiologia e Transplantes do Distrito Federal, Brasília, Brazil.
Aline Pic-TaylorPrograma de Pós-graduação em Ciências Médicas, Universidade de Brasília, Brasília, Brazil.
Silviene F OliveiraDepartamento de Genética e Morfologia, Instituto de Ciências Biológicas, Universidade de Brasília, Brasília, Brazil.
Juliana F MazzeuPrograma de Pós-graduação em Ciências Médicas, Universidade de Brasília, Brasília, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Congenital heart diseases (CHDs) encompass a broad spectrum of structural anomalies with substantial clinical and genetic heterogeneity. They are the most common birth defects in humans, and a leading cause of paediatric morbidity and mortality. Yet, its genetic substrate remains difficult to interpret at the bedside: despite advances in cytogenetics and next-generation sequencing, a definitive or candidate genetic cause is identified in fewer than half of cases, and even when a variant is recovered, mapping it onto the developmental program that produces a specific malformation is rarely straightforward for the practising clinician. This narrative review revisits normal cardiogenesis as a single, coordinated developmental program, integrating embryological events with progenitor populations, transcription factor networks, and signalling pathways. We then highlight how perturbation of these developmental modules may result in syndromic and non-syndromic CHD. By aligning embryological events with their regulatory logic, the review offers a developmental framework intended to help clinicians situate molecular findings within the biology of heart formation, sharpen genotype-phenotype interpretation, support more precise diagnostic and prognostic reasoning, and inform emerging regenerative strategies for the malformed and injured heart.

Indexed as

cardiogenesiscongenital heart diseasedevelopmental biologygenetic variantssignalling pathwaystranscription factors

Identifiers

PMID42524635
PMCPMC13412280

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.