Evidence map›Paper›PMID 29085015›Full record

ArticleScientific reports2017

Low levels of exosomal-miRNAs in maternal blood are associated with early pregnancy loss in cloned cattle.

T H C De Bem, J C da Silveira, R V Sampaio, J R Sangalli, M L F Oliveira, R M Ferreira, L A Silva, F Perecin, W A King, F V Meirelles and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

24 citing papers in PubMed, 42 citations in OpenAlex.

  1. Review
  2. Comparative analysis of microRNAs in bovine colostrum and neonatal calf blood.Journal of the science of food and agriculture · 2026
    Article
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  18. TheSaudi journal of biological sciences · 2020
    Article
  19. Review
  20. Extracellular Vesicles Mediated Early Embryo-Maternal Interactions.International journal of molecular sciences · 2020
    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

11 authors at 3 institutions in 2 countries.

T H C De BemDepartment of Genetics, Ribeirao Preto Medical School, University of Sao Paulo, Ribeirao Preto, Brazil. tiagodebem@yahoo.com.br.
J C da SilveiraDepartment of Veterinary Medicine, Faculty of Animal Science and Food Engineering, University of Sao Paulo, Pirassununga, Sao Paulo, Brazil.
R V SampaioDepartment of Veterinary Medicine, Faculty of Animal Science and Food Engineering, University of Sao Paulo, Pirassununga, Sao Paulo, Brazil.ORCID 0000-0002-4293-2127
J R SangalliDepartment of Veterinary Medicine, Faculty of Animal Science and Food Engineering, University of Sao Paulo, Pirassununga, Sao Paulo, Brazil.
M L F OliveiraDepartment of Veterinary Medicine, Faculty of Animal Science and Food Engineering, University of Sao Paulo, Pirassununga, Sao Paulo, Brazil.ORCID 0000-0002-6368-4767
R M FerreiraDepartment of Animal Reproduction, Faculty of Veterinary Medicine and Animal Science of University of Sao Paulo, Sao Paulo, Brazil.
L A SilvaDepartment of Veterinary Medicine, Faculty of Animal Science and Food Engineering, University of Sao Paulo, Pirassununga, Sao Paulo, Brazil.
F PerecinDepartment of Veterinary Medicine, Faculty of Animal Science and Food Engineering, University of Sao Paulo, Pirassununga, Sao Paulo, Brazil.
W A KingDepartment of Biomedical Science, Ontario Veterinary College, University of Guelph, Ontario, Canada.
F V MeirellesDepartment of Veterinary Medicine, Faculty of Animal Science and Food Engineering, University of Sao Paulo, Pirassununga, Sao Paulo, Brazil.
E S RamosDepartment of Genetics, Ribeirao Preto Medical School, University of Sao Paulo, Ribeirao Preto, Brazil.ORCID 0000-0001-7253-2143
Universidade de São Paulo · BRUniversidade de Ribeirão Preto · BRUniversity of Guelph · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nuclear reprogramming mediated by somatic cell nuclear transfer (SCNT) has many applications in medicine. However, animal clones show increased rates of abortion and reduced neonatal viability. Herein, we used exosomal-miRNA profiles as a non-invasive biomarker to identify pathological pregnancies. MiRNAs play important roles in cellular proliferation and differentiation during early mammalian development. Thus, the aim of this study was to identify exosomal-miRNAs in maternal blood at 21 days of gestation that could be used for diagnosis and prognosis during early clone pregnancies in cattle. Out of 40 bovine-specific miRNAs, 27 (67.5%) were with low abundance in the C-EPL (Clone - Early pregnancy loss) group compared with the C-LTP (Clone - Late pregnancy) and AI-LTP (Artificial Insemination - Late pregnancy) groups, which had similar miRNAs levels. Bioinformatics analysis of the predicted target genes demonstrated signaling pathways and functional annotation clusters associated with critical biological processes including cell proliferation, differentiation, apoptosis, angiogenesis and embryonic development. In conclusion, our results demonstrate decreased exosomal-miRNAs in maternal blood at 21 days of gestation in cloned cattle pregnancies that failed to reach term. Furthermore, the predicted target genes regulated by these 27 miRNAs are strongly associated with pregnancy establishment and in utero embryonic development.

Indexed as

Abortion, SpontaneousAnimalsCattleCell DifferentiationCell-Free Nucleic AcidsCell ProliferationCellular ReprogrammingCloning, OrganismComputational BiologyEmbryonic DevelopmentExosomesFemaleGene Expression ProfilingInsemination, ArtificialMicroRNAsMolecular Sequence AnnotationCell-Free Nucleic AcidsMicroRNAs

Identifiers

PMID29085015
PMCPMC5662615
OpenAlexW2765994269

What OpenQuestion holds

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Registered trials

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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.