Evidence map›Paper›PMID 28702050›Full record

ArticleFrontiers in genetics2017

Circulating MicroRNAs in Serum from Cattle Challenged with Bovine Viral Diarrhea Virus.

Tasia M Taxis, Fernando V Bauermann, Julia F Ridpath, Eduardo Casas

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.1field-weighted citation impact, top 26% 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

21 citing papers in PubMed, 30 citations in OpenAlex.

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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

4 authors at 3 institutions in 1 country.

Tasia M TaxisRuminant Diseases and Immunology Research Unit, National Animal Disease Center, United States Department of Agriculture - Agricultural Research Service, AmesIA, United States.
Fernando V BauermannRuminant Diseases and Immunology Research Unit, National Animal Disease Center, United States Department of Agriculture - Agricultural Research Service, AmesIA, United States.
Julia F RidpathRuminant Diseases and Immunology Research Unit, National Animal Disease Center, United States Department of Agriculture - Agricultural Research Service, AmesIA, United States.
Eduardo CasasRuminant Diseases and Immunology Research Unit, National Animal Disease Center, United States Department of Agriculture - Agricultural Research Service, AmesIA, United States.
Agricultural Research Service · USNational Animal Disease Center · USUnited States Department of Agriculture · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bovine viral diarrhea virus (BVDV) is an RNA virus that is often associated with respiratory disease in cattle. MicroRNAs have been proposed as indicators of exposure to respiratory pathogens. The objective of this study was to identify microRNAs in cattle that had been challenged with a non-cytopathic field strain of BVDV. Five colostrum deprived neonate Holstein calves were inoculated with BVDV (challenged) and 4 were mock challenged (control). Serum from all calves was collected at four different times: prior to challenge (day 0) and at 4, 9, and 16 days post-challenge. RNA was extracted from sera, and expression, via read counts, of small non-coding RNAs were obtained using next-generation sequencing. A total of 905,861 sequences identified 427 microRNAs. Sixty-two microRNAs had >1,000 total reads across all samples. Bta-miR-339a, bta-miR-185, bta-miR-486, Bta-miR-92a, bta-miR-30e-5p, bta-let-7c, and bta-miR-2284x were significantly different (

Indexed as

BVDVcattlemicroRNAmiR-151-3pmiR-423-5pPestivirusserum

Identifiers

PMID28702050
PMCPMC5487392
OpenAlexW2731376661

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.