Evidence map›Paper›PMID 33154526›Full record

ArticleScientific reports2020

Plasma extracellular vesicle miRNAs as potential biomarkers of superstimulatory response in cattle.

Ahmed Gad, José María Sánchez, John A Browne, Lucie Nemcova, Jozef Laurincik, Radek Prochazka, Pat Lonergan

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

7 authors.

Ahmed GadInstitute of Animal Physiology and Genetics, Czech Academy of Sciences, Liběchov, Czech Republic.
José María SánchezSchool of Agriculture and Food Science, University College Dublin, Dublin, Ireland.
John A BrowneSchool of Agriculture and Food Science, University College Dublin, Dublin, Ireland.
Lucie NemcovaInstitute of Animal Physiology and Genetics, Czech Academy of Sciences, Liběchov, Czech Republic.
Jozef LaurincikInstitute of Animal Physiology and Genetics, Czech Academy of Sciences, Liběchov, Czech Republic.
Radek ProchazkaInstitute of Animal Physiology and Genetics, Czech Academy of Sciences, Liběchov, Czech Republic.
Pat LonerganSchool of Agriculture and Food Science, University College Dublin, Dublin, Ireland. pat.lonergan@ucd.ie.

Funding

Science Foundation Ireland 13/IA/1983
6 · The paper itself

Abstract

The ability to predict superstimulatory response would be a beneficial tool in assisted reproduction. Using small RNAseq technology, we profiled extracellular vesicle microRNA (EV-miRNA) abundance in the blood plasma of heifers exhibiting variable responses to superstimulation. Estrous synchronized crossbred beef heifers (n = 25) were superstimulated and blood samples were collected from each heifer on Day 7 of consecutive unstimulated (U) and superstimulated (S) cycles. A subset of high (H) and low (L) responders was selected depending on their response to superstimulation and EV-miRNA profiles were analysed at both time-points in each heifer. Approximately 200 known miRNAs were detected in each sample with 144 commonly detected in all samples. A total of 12 and 14 miRNAs were dysregulated in UH vs. UL and in SH vs. SL heifers, respectively. Interestingly, miR-206 and miR-6517 exhibited the same differential expression pattern in H compared to L heifers both before and after superstimulation. Pathway analysis indicated that circadian rhythm and signaling pathways were among the top pathways enriched with genes targeted by dysregulated miRNAs in H vs. L responding heifers. In conclusion, heifers with divergent ovarian responses exhibited differential expression of plasma EV-miRNAs which may be used as a potential biomarker to predict superstimulation response.

Indexed as

Ovulation InductionAnimalsBiomarkersCattleCircadian RhythmEstrusEstrus SynchronizationExtracellular VesiclesFemaleMicroRNAsOvarian FollicleSignal TransductionBiomarkersMicroRNAs

Identifiers

PMID33154526
PMCPMC7645755

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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.