Evidence map›Paper›PMID 42847674›Full record

ArticleJournal of animal science2026

Perinatal biology symposium: perinatal programming-challenges and solutions for optimizing long-term health.

Ryan L Ashley, Dustin T Yates

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of animal science, 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

2 authors.

Ryan L AshleyDepartment of Animal and Range Sciences, New Mexico State University, Las Cruces, NM 88003, United States.ORCID 0000-0003-1936-6048
Dustin T YatesDepartment of Animal Science, University of Nebraska-Lincoln, Lincoln, NE 68583, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Perinatal biology encompasses the coordinated sequence of parental, placental, fetal, and neonatal processes that collectively determine reproductive success and form the basis for lifelong health of the offspring. Recent advances in molecular biology, reproductive technologies, and systems biology have transformed our understanding of how events occurring before conception and throughout gestation influence pregnancy outcomes across mammalian species. The invited reviews that comprise this Perinatal Biology collection highlight emerging concepts in assisted reproductive technologies, maternal endocrine patterns, placental biology, infectious disease, and gamete physiology. Collectively, these articles demonstrate how successful pregnancy depends upon dynamic communication among maternal and paternal, placental, and fetal compartments, as none of these functions independently. Across species, common biological themes emerge around mitochondrial function and metabolic adaptability, immune and endocrine regulation, angiogenesis, and cellular plasticity. The collection also emphasizes the importance of comparative animal models, multi-omics technologies, and integrative physiology for identifying conserved mechanisms that underlie pregnancy outcomes. Together, this collection illustrates the expanding scope of perinatal biology and establishes a framework for translational One-Health research that benefits human medicine and animal agriculture.

Indexed as

Fetal DevelopmentAnimalsDevelopmental Origins of Health and DiseaseFemaleHumansPlacentaPregnancydevelopmental origins of health and disease (DOHaD)gamete heathintrauterine growth restrictionlow birthweightmaternofetal medicineplacental development

Identifiers

PMID42847674

What OpenQuestion holds

Textmetadata
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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 OpenQuestion graph.