Evidence map›Paper›PMID 36082001›Full record

ArticleFrontiers in genetics2022

Investigating circulating miRNA in transition dairy cows: What miRNAomics tells about metabolic adaptation.

Arash Veshkini, Harald Michael Hammon, Barbara Lazzari, Laura Vogel, Martina Gnott, Arnulf Tröscher, Vera Vendramin, Hassan Sadri, Helga Sauerwein, Fabrizio Ceciliani

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-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

7 citing papers in PubMed, 11 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

10 authors at 7 institutions in 3 countries.

Arash VeshkiniInstitute of Animal Science, Physiology Unit, University of Bonn, Bonn, Germany.
Harald Michael HammonResearch Institute for Farm Animal Biology (FBN), Dummerstorf, Germany.
Barbara LazzariInstitute of Agricultural Biology and Biotechnology of the CNR, Milan, Italy.
Laura VogelResearch Institute for Farm Animal Biology (FBN), Dummerstorf, Germany.
Martina GnottResearch Institute for Farm Animal Biology (FBN), Dummerstorf, Germany.
Arnulf TröscherBASF SE, Lampertheim, Germany.
Vera VendraminIGA Technology Services, Udine, Italy.
Hassan SadriDepartment of Clinical Science, Faculty of Veterinary Medicine, University of Tabriz, Tabriz, Iran.
Helga SauerweinInstitute of Animal Science, Physiology Unit, University of Bonn, Bonn, Germany.
Fabrizio CecilianiDepartment of Veterinary Medicine, Università degli Studi di Milano, Lodi, Italy.
Research Institute for Farm Animal Biology (FBN) · DEBASF (Germany) · DEDeleted InstitutionIstituto di Genomica Applicata · ITUniversity of Bonn · DEUniversity of Milan · ITUniversity of Tabriz · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the current study, we investigated dairy cows' circulating microRNA (miRNA) expression signature during several key time points around calving, to get insights into different aspects of metabolic adaptation. In a trial with 32 dairy cows, plasma samples were collected on days -21, 1, 28, and 63 relative to calving. Individually extracted total RNA was subjected to RNA sequencing using NovaSeq 6,000 (Illumina, CA) on the respective platform of IGA Technology Services, Udine, Italy. MiRDeep2 was used to identify known and novel miRNA according to the miRbase collection. Differentially expressed miRNA (DEM) were assessed at a threshold of fold-change > 1.5 and false discovery rate < 0.05 using the edgeR package. The MiRWalk database was used to predict DEM targets and their associated KEGG pathways. Among a total of 1,692 identified miRNA, 445 known miRNA were included for statistical analysis, of which 84, 59, and 61 DEM were found between days -21 to 1, 1 to 28, and 28 to 63, respectively. These miRNA were annotated to KEGG pathways targeting the insulin, MAPK, Ras, Wnt, Hippo, sphingolipid, T cell receptor, and mTOR signaling pathways. MiRNA-mRNA network analysis identified miRNA as master regulators of the biological process including miR-138, miR-149-5p, miR-2466-3p, miR-214, miR-504, and miR-6523a. This study provided new insights into the miRNA signatures of transition to the lactation period. Calving emerged as a critical time point when miRNA were most affected, while the following period appeared to be recovering from massive parturition changes. The primarily affected pathways were key signaling pathways related to establishing metabolic and immune adaptations.

Indexed as

immune-related pathwaysmiRNAnegative energy balancepost-calvingposttranscriptional regulationsystemic inflammation

Identifiers

PMID36082001
PMCPMC9445238
OpenAlexW4293254692

What Socratic 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 Socratic graph.