Evidence map›Paper›PMID 40313035›Full record

ArticleJournal of animal science2025

Circulating microRNAs associated with immune competence in Angus cattle.

Annaleise Wilson, Ryan J Farr, Brad C Hine, Enrique Sanchez-Molano, Christina L Rootes, Jenny Su, Georgios Banos, Cameron R Stewart, Aaron B Ingham

Abstract read
In one paragraph

Article in Journal of animal science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Annaleise WilsonCSIRO Health & Biosecurity, Australian Centre for Disease Preparedness, Geelong, Victoria, Australia.
Ryan J FarrCSIRO Health & Biosecurity, Australian Centre for Disease Preparedness, Geelong, Victoria, Australia.
Brad C HineCSIRO Agriculture and Food, F.D. McMaster Laboratory, Chiswick, Armidale, NSW, Australia.
Enrique Sanchez-MolanoThe Roslin Institute and R(D)SVS, University of Edinburgh, Easter Bush, Edinburgh EH25 9RG, UK.
Christina L RootesCSIRO Health & Biosecurity, Australian Centre for Disease Preparedness, Geelong, Victoria, Australia.
Jenny SuCSIRO Health & Biosecurity, Australian Centre for Disease Preparedness, Geelong, Victoria, Australia.
Georgios BanosScotland's Rural College, The Roslin Institute Building, Easter Bush, Edinburgh EH25 9RG, UK.
Cameron R StewartCSIRO Health & Biosecurity, Australian Centre for Disease Preparedness, Geelong, Victoria, Australia.
Aaron B InghamCSIRO Agriculture and Food, Queensland Bioscience Precinct, St Lucia, Brisbane, Queensland, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An immune competence (IC) trait has been developed in livestock to combat infectious diseases through selective breeding. Here, we investigate whether circulating host-encoded microRNAs (miRNAs) are associated with immune responses to a commercial multivalent clostridial and leptospiral vaccine in Australian Angus steers, a proxy measure for IC. A total of 332 animals from 2 herds in New South Wales, Australia-Herd 1 (n = 168) and Herd 2 (n = 164)-were IC phenotyped on the day of yard weaning. Within a herd, animals were ranked by their antibody- (Ab-IR) and cell-mediated (Cell-IR) immune responses, and animals identified as "high" or "low" were in the top or bottom 7% of animals for each, respectively. A total of 47 steers that were identified as either low Cell-IR (n = 12), high Cell-IR (n = 11), low Ab-IR (n = 12), or high Ab-IR (n = 12) were selected for miRNA analysis. The IC score, a weighted average incorporating both Ab-IR and Cell-IR rankings, was calculated for selected steers. Our results indicate that the IC phenotype is associated with differences in circulating miRNA profiles. Linear regression modeling identified a potential association between pre-vaccination miR-150 levels and IC scores, while logistic regression modeling suggested that pre-vaccination miR-150 may differentiate IC high and low steers. Machine learning classification models further identified a 5-miRNA signature (miR-192, miR-150, miR-2285co, miR-155, and let-7a-5p) that classified high IC steers with 94% accuracy in this dataset. The findings of this pilot study suggest that circulating miRNAs warrant further investigation as potential predictors of immune response to vaccination and may provide insights into miRNA-regulated pathways involved in vaccine-induced immunity.

Indexed as

Cattle DiseasesCirculating MicroRNAMicroRNAsAnimalsBacterial VaccinesCattleImmunity, CellularMaleNew South WalesBacterial VaccinesCirculating MicroRNAMicroRNAsbiomarkercattlediseaseimmune competencemicroRNAvaccine

Identifiers

PMID40313035
PMCPMC12147022

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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.