Evidence map›Paper›PMID 35732675›Full record

ArticleScientific reports2022

Identification of large offspring syndrome during pregnancy through ultrasonography and maternal blood transcriptome analyses.

Rocío Melissa Rivera, Anna Katherine Goldkamp, Bhaumik Narendrabhai Patel, Darren Erich Hagen, Edgar Joel Soto-Moreno, Yahan Li, Chris Nayoon Kim, Cliff Miller, Fred Williams, Elizabeth Jannaman and 9 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 7% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. The Maternal Blood Transcriptome Reflects Molecular Signatures Associated With Large Offspring Syndrome and Other Adverse Pregnancy Outcomes in Cattle.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
    Article
  3. Article
  4. Review
  5. 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
  6. Article
  7. Article
  8. Article
  9. Article
  10. Livestock species as emerging models for genomic imprinting.Frontiers in cell and developmental biology · 2024
    Review
  11. 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

19 authors at 7 institutions in 2 countries.

Rocío Melissa RiveraDivision of Animal Sciences, University of Missouri, 164 ASRC, 920 East Campus Drive, Columbia, MO, 65211, USA. riverarm@missouri.edu.
Anna Katherine GoldkampDepartment of Animal and Food Sciences, Oklahoma State University, Stillwater, USA.
Bhaumik Narendrabhai PatelDivision of Animal Sciences, University of Missouri, 164 ASRC, 920 East Campus Drive, Columbia, MO, 65211, USA.
Darren Erich HagenDepartment of Animal and Food Sciences, Oklahoma State University, Stillwater, USA.
Edgar Joel Soto-MorenoDivision of Animal Sciences, University of Missouri, 164 ASRC, 920 East Campus Drive, Columbia, MO, 65211, USA.
Yahan LiDivision of Animal Sciences, University of Missouri, 164 ASRC, 920 East Campus Drive, Columbia, MO, 65211, USA.
Chris Nayoon KimDivision of Animal Sciences, University of Missouri, 164 ASRC, 920 East Campus Drive, Columbia, MO, 65211, USA.
Cliff MillerGreen Hills Veterinary Clinic, Moberly, MO, USA.
Fred WilliamsDepartment of Veterinary Pathobiology, University of Missouri, Columbia, MO, USA.
Elizabeth JannamanDepartment of Animal Sciences, University of Florida, Gainesville, FL, USA.
Yao XiaoDepartment of Animal Sciences, University of Florida, Gainesville, FL, USA.
Paula TribuloDepartment of Animal Sciences, University of Florida, Gainesville, FL, USA.
Eliab Estrada-CortésDepartment of Animal Sciences, University of Florida, Gainesville, FL, USA.
Astrid Roshealy Brau-RodríguezDivision of Animal Sciences, University of Missouri, 164 ASRC, 920 East Campus Drive, Columbia, MO, 65211, USA.
Peter James HansenDepartment of Animal Sciences, University of Florida, Gainesville, FL, USA.
Zhoulin WuDivision of Animal Sciences, University of Missouri, 164 ASRC, 920 East Campus Drive, Columbia, MO, 65211, USA.
Christine Marie SpinkaDepartment of Health Management and Informatics, University of Missouri, Columbia, MO, USA.
Neal MartinMartin Veterinary Services, Centralia, MO, USA.
Christine G ElsikDivision of Animal Sciences, University of Missouri, 164 ASRC, 920 East Campus Drive, Columbia, MO, 65211, USA.
University of Missouri · USUniversity of Florida · USThe Graduate Center, CUNY · USOklahoma State University · USLockheed Martin (United States) · USTown and Country Veterinary Clinic · USUniversity of Missouri Health System · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In vitro production (IVP) of embryos in cattle can result in large/abnormal offspring syndrome (LOS/AOS) which is characterized by macrosomia. LOS can cause dystocia and lead to the death of dam and calf. Currently, no test exists to identify LOS pregnancies. We hypothesized that fetal ultrasonography and/or maternal blood markers are useful to identify LOS. Bovine fetuses were generated by artificial insemination (control) or IVP. Fetal ultrasonographies were taken on gestation D55 (D55) and fetal collections performed on D56 or D105 (gestation in cattle ≈ D280). IVP fetuses weighing ≥ 97 percentile of the control weight were considered LOS. Ultrasonography results show that the product of six D55 measurements can be used to identify extreme cases of LOS. To determine whether maternal blood can be used to identify LOS, leukocyte mRNA from 23 females was sequenced. Unsupervised hierarchical clustering grouped the transcriptomes of the two females carrying the two largest LOS fetuses. Comparison of the leukocyte transcriptomes of these two females to the transcriptome of all other females identified several misregulated transcripts on gestation D55 and D105 with LOC783838 and PCDH1 being misregulated at both time-points. Together our data suggest that LOS is identifiable during pregnancy in cattle.

Indexed as

Gene Expression ProfilingInsemination, ArtificialAnimalsCattleFemaleFetusPregnancyUltrasonography, Prenatal

Identifiers

PMID35732675
PMCPMC9217928
OpenAlexW4283387474

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.