Evidence map›Paper›PMID 37658765›Full record

ArticleBiology of reproduction2023

Maternal blood transcriptome as a sensor of fetal organ maturation at the end of organogenesis in cattle†.

Maria Belen Rabaglino, José María Sánchez, Michael McDonald, Elena O'Callaghan, Pat Lonergan

Open access · hybridAbstract read
In one paragraph

Article in Biology of reproduction, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.9field-weighted citation impact, top 9% of its field
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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. The Maternal Blood Transcriptome Reflects Changes in Fetal Growth and Is an Accurate Predictor of Birth Weight in Cattle.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025
    Article
  3. 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

5 authors at 2 institutions in 2 countries.

Maria Belen RabaglinoSchool of Agriculture and Food Science, University College Dublin, Belfield, Dublin 4, Ireland.
José María SánchezDepartamento de Reproducción Animal, Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria, Madrid, Spain.
Michael McDonaldSchool of Agriculture and Food Science, University College Dublin, Belfield, Dublin 4, Ireland.
Elena O'CallaghanSchool of Agriculture and Food Science, University College Dublin, Belfield, Dublin 4, Ireland.
Pat LonerganSchool of Agriculture and Food Science, University College Dublin, Belfield, Dublin 4, Ireland.
University College Dublin · IEInstituto Nacional de Investigación y Tecnología Agraria y Alimentaria · ES

Funding

Marie Skłodowska-Curie Actions Individual Fellowship 101021311Talent Attraction Comunidad Autónoma de Madrid Program ATI2019-T2-BIO-12966
6 · The paper itself

Abstract

Harnessing information from the maternal blood to predict fetal growth is attractive yet scarcely explored in livestock. The objectives were to determine the transcriptomic modifications in maternal blood and fetal liver, gonads, and heart according to fetal weight and to model a molecular signature based on the fetal organs allowing the prediction of fetal weight from the maternal blood transcriptome in cattle. In addition to a contemporaneous maternal blood sample, organ samples were collected from 10 male fetuses at 42 days of gestation for RNA-sequencing. Fetal weight ranged from 1.25 to 1.69 g (mean = 1.44 ± 0.15 g). Clustering data analysis revealed clusters of co-expressed genes positively correlated with fetal weight and enriching ontological terms biologically relevant for the organ. For the heart, the 1346 co-expressed genes were involved in energy generation and protein synthesis. For the gonads, the 1042 co-expressed genes enriched seminiferous tubule development. The 459 co-expressed genes identified in the liver were associated with lipid synthesis and metabolism. Finally, the cluster of 571 co-expressed genes determined in maternal blood enriched oxidative phosphorylation and thermogenesis. Next, data from the fetal organs were used to train a regression model of fetal weight, which was predicted with the maternal blood data. The best prediction was achieved when the model was trained with 35 co-expressed genes overlapping between heart and maternal blood (root-mean-square error = 0.04, R2 = 0.93). In conclusion, linking transcriptomic information from maternal blood with that from the fetal heart unveiled maternal blood as a predictor of fetal development.

Indexed as

Fetal WeightTranscriptomeAnimalsCattleFetal DevelopmentGene Expression ProfilingMaleOrganogenesiscattlegestationmachine learningorgan developmenttranscriptomics

Identifiers

PMID37658765
PMCPMC10651065
OpenAlexW4386395962

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.