Evidence map›Paper›PMID 36850045›Full record

ArticleJournal of animal science2023

Short communication: profiling the expression of Let-7d-5p microRNA in circulating blood of pregnant and nonpregnant cows.

Jorge A De Los Santos Funes, João Paulo N Andrade, Jodi Berndtson, John Parrish

Open access · greenAbstract read
In one paragraph

Article in Journal of animal science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 25% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

4 authors at 1 institution in 1 country.

Jorge A De Los Santos FunesDepartment of Animal and Dairy Sciences, University of Wisconsin Madison, WI 53706-1205, USA.ORCID 0000-0002-6659-4732
João Paulo N AndradeDepartment of Animal and Dairy Sciences, University of Wisconsin Madison, WI 53706-1205, USA.
Jodi BerndtsonDepartment of Animal and Dairy Sciences, University of Wisconsin Madison, WI 53706-1205, USA.
John ParrishDepartment of Animal and Dairy Sciences, University of Wisconsin Madison, WI 53706-1205, USA.
University of Wisconsin–Madison · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of this work was to determine if specific circulating microRNA (miRNA) differed due to pregnancy status in heifers. Blood samples were collected from heifers 21 d after receiving an in vitro-produced embryo. Pregnancy status was diagnosed 21 d after embryo transfer, equivalent to day 28 of gestation, with rectal ultrasonography. Blood samples from 10 pregnant and 10 nonpregnant heifers were then evaluated for miRNA expression. There were five different miRNAs quantified using delta-delta Ct and qPCR methodology. These miRNAs had previously been associated with early pregnancy in cattle. The miRNA Let-7d-5p was decreased in nonpregnant as compared to pregnant females (P < 0.05). There were no changes in 16-5p, 16-1-3p, 16-2-3p, and 26a-5p associated with pregnancy (P > 0.05). Results demonstrate an opportunity to identify and study the differential expression of miRNAs from the blood of pregnant cows. The Let-7d-5p miRNA is a potential early pregnancy marker and is critical to better understand the early relationships of the cellular and molecular interactions of the cow and embryo.

Indexed as

MicroRNAsAnimalsCattleEmbryo, MammalianFemaleGene Expression ProfilingPregnancyMicroRNAsblood markerscowsearly pregnancymicroRNAmRNA expressionpregnancyqPCR

Identifiers

PMID36850045
PMCPMC10079811
OpenAlexW4322617811

What OpenQuestion holds

Textmetadata
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.