ReviewInternational journal of molecular sciences2023
Maternal Pre-Existing Diabetes: A Non-Inherited Risk Factor for Congenital Cardiopathies.
Review in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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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.
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.
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Who cites it
10 citing papers in PubMed, 19 citations in OpenAlex.
- The Impact of Maternal Obesity and Diabetes on the Development of Congenital Heart Defects (CHDs) in Offspring: A Narrative Review.Metabolites · 2026Review
- Accessory renal arteries in prenatal hydronephrosis as a pathophysiologic contributor or incidental vascular finding: a prospective observational study.BMC pregnancy and childbirth · 2026Observational
- Environmentally dependent developmental induction as a potential driver of heart evolution.The Journal of experimental biology · 2026Review
- A retrospective study on the prevalence, management, and outcomes of congenital heart diseases in children at Edward Francis small teaching hospital, banjul, the Gambia.BMC cardiovascular disorders · 2025Article
- Maternal Immune Activation: Implications for Congenital Heart Defects.Clinical reviews in allergy & immunology · 2025Review
- Decoding congenital heart disease: a multi-omic framework for cardiac lineage and regulatory dysfunction.Frontiers in cell and developmental biology · 2025Review
- Pathogenesis and Surgical Treatment of Dextro-Transposition of the Great Arteries (D-TGA): Part II.Journal of clinical medicine · 2024Review
- Cardiac Development and Factors Influencing the Development of Congenital Heart Defects (CHDs): Part I.International journal of molecular sciences · 2024Review
- Mitochondrial Targeted Therapies to Prevent Maternal Diabetes-Induced Congenital Heart Defects.JACC. Basic to translational science · 2024Article
- In-Depth Genomic Analysis: The New Challenge in Congenital Heart Disease.International journal of molecular sciences · 2024Review
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
Congenital heart defects (CHDs) are the most common form of birth defects in humans. They occur in 9 out of 1000 live births and are defined as structural abnormalities of the heart. Understanding CHDs is difficult due to the heterogeneity of the disease and its multifactorial etiology. Advances in genomic sequencing have made it possible to identify the genetic factors involved in CHDs. However, genetic origins have only been found in a minority of CHD cases, suggesting the contribution of non-inherited (environmental) risk factors to the etiology of CHDs. Maternal pregestational diabetes is associated with a three- to five-fold increased risk of congenital cardiopathies, but the underlying molecular mechanisms are incompletely understood. According to current hypotheses, hyperglycemia is the main teratogenic agent in diabetic pregnancies. It is thought to induce cell damage, directly through genetic and epigenetic dysregulations and/or indirectly through production of reactive oxygen species (ROS). The purpose of this review is to summarize key findings on the molecular mechanisms altered in cardiac development during exposure to hyperglycemic conditions in utero. It also presents the various in vivo and in vitro techniques used to experimentally model pregestational diabetes. Finally, new approaches are suggested to broaden our understanding of the subject and develop new prevention strategies.
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What OpenQuestion holds
Registered trials
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.