Evidence map›Paper›PMID 31117952›Full record

ArticleBMC genomics2019

Concurrent and long-term associations between the endometrial microbiota and endometrial transcriptome in postpartum dairy cows.

Stephen G Moore, Aaron C Ericsson, Susanta K Behura, William R Lamberson, Timothy J Evans, Matthew S McCabe, Scott E Poock, Matthew C Lucy

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.9field-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

10 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Vaginal Microbiome Dynamics of Cows in Different Parities.Animals : an open access journal from MDPI · 2023
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
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

8 authors at 3 institutions in 2 countries.

Stephen G MooreDivision of Animal Sciences, University of Missouri, Columbia, MO, 65211, USA.
Aaron C EricssonDepartment of Veterinary Pathobiology, University of Missouri, Columbia, 65211, USA.
Susanta K BehuraDivision of Animal Sciences, University of Missouri, Columbia, MO, 65211, USA.
William R LambersonDivision of Animal Sciences, University of Missouri, Columbia, MO, 65211, USA.
Timothy J EvansDepartment of Veterinary Pathobiology, University of Missouri, Columbia, 65211, USA.
Matthew S McCabeAnimal and Grassland Research and Innovation Centre, Teagasc Grange, Dunsany, Co. Meath, C15 PW93, Ireland.
Scott E PoockCollege of Veterinary Medicine, University of Missouri, Columbia, 65211, USA.
Matthew C LucyDivision of Animal Sciences, 160 Animal Science Research Center, 920 East Campus Drive, University of Missouri, Columbia, MO, 65211, USA. lucym@missouri.edu.ORCID http://orcid.org/0000-0001-5771-9460
University of Missouri · USTeagasc - The Irish Agriculture and Food Development Authority · IEMissouri College · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFertility in dairy cows depends on ovarian cyclicity and on uterine involution. Ovarian cyclicity and uterine involution are delayed when there is uterine dysbiosis (overgrowth of pathogenic bacteria). Fertility in dairy cows may involve a mechanism through which the uterine microbiota affects ovarian cyclicity as well as the transcriptome of the endometrium within the involuting uterus. The hypothesis was that the transcriptome of the endometrium in postpartum cows would be associated with the cyclicity status of the cow as well as the microbiota during uterine involution. The endometrium of first lactation dairy cows was sampled at 1, 5, and 9 weeks postpartum. All cows were allowed to return to cyclicity without intervention until week 5 and treated with an ovulation synchronization protocol so that sampling at week 9 was on day 13 of the estrous cycle. The endometrial microbiota was measured by 16S rRNA gene sequencing and principal component analysis. The endometrial transcriptome was measured by mRNA sequencing, differential gene expression analysis, and Ingenuity Pathway Analysis.

resultsThe endometrial microbiota changed from week 1 to week 5 but the week 5 and week 9 microbiota were similar. The endometrial transcriptome differed for cows that were either cycling or not cycling at week 5 and cyclicity status depended in part on the endometrial microbiota. Compared with cows cycling at week 5, there were large changes in the transcriptome of cows that progressed from non-cycling at week 5 to cycling at week 9. There was evidence for concurrent and longer-term associations between the endometrial microbiota and transcriptome. The week 1 endometrial microbiota had the greatest effect on the subsequent endometrial transcriptome and this effect was greatest at week 5 and diminished by week 9.

conclusionsThe cumulative response of the endometrial transcriptome to the microbiota represented the combination of past microbial exposure and current microbial exposure. The endometrial transcriptome in postpartum cows, therefore, depended on the immediate and longer-term effects of the uterine microbiota that acted directly on the uterus. There may also be an indirect mechanism through which the microbiome affects the transcriptome through the restoration of ovarian cyclicity postpartum.

Indexed as

Estrous CycleMicrobiotaPostpartum PeriodTranscriptomeAnimalsCattleEndometriumFemaleLactationMetabolomeRNA, Ribosomal, 16SRNA, Ribosomal, 16S16S rRNABacteriaGene expressionLimmaMicrobiomeOvarian cyclicityPrincipal component analysisProgesteroneRNAseqUterus

Identifiers

PMID31117952
PMCPMC6532207
OpenAlexW2947359165

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.