Evidence map›Paper›PMID 40836803›Full record

ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2025

Fetal growth and congenital heart disease at high altitude.

Dino A Giussani

Abstract readReview
In one paragraph

Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Pregnancy at high altitude: the challenge of hypoxia.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 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

1 author.

Dino A GiussaniDepartment of Physiology, Development and Neuroscience, University of Cambridge, Cambridge CB2 3EL, UK.ORCID 0000-0002-1308-1204

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-altitude pregnancy lowers birth weight, and highland ancestry protects against this. Mechanisms mediating both effects are of interest, and alterations in uterine blood flow and placental metabolism have been implicated. However, this review highlights studies combining the chicken embryo model with high-altitude incubation, which reveal direct depressive effects of altitude on fetal growth and direct protective effects of highland ancestry, despite the absence of a mammalian uterine artery or placenta. Since low birth weight has been linked with high cardiovascular risk in offspring, there is also interest in the mechanisms underlying this relationship. Further work in the chicken embryo has shown that hypoxic incubation triggers congenital heart disease and programmes cardiovascular disease in the adult bird, and that highland ancestry confers protection against these effects. Therefore, these studies in the chicken embryo are important because they unveil that altitude and highland ancestry must affect prenatal growth and developmental origins of heart disease by mechanisms acting on the fetus, in addition to maternal or placental effects. The nature of these direct effects is likely epigenetic; however, they remain little studied and unidentified. Such research is paramount as it has the potential to lead to discoveries of novel fundamental biological pathways with therapeutic application of human relevance.This article is part of the discussion meeting issue 'Pregnancy at high altitude: the challenge of hypoxia'.

Indexed as

AltitudeFetal DevelopmentHeart Defects, CongenitalAnimalsChick EmbryoFemaleHumansPregnancyfetal growthheart diseasehigh altitude

Identifiers

PMID40836803
PMCPMC12368534

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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.