Evidence map›Paper›PMID 25339959›Full record

ReviewFrontiers in immunology2014

Bovine mastitis: frontiers in immunogenetics.

Kathleen Thompson-Crispi, Heba Atalla, Filippo Miglior, Bonnie A Mallard

Open access · goldAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Frontiers in immunology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 97 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
97citing papers in PubMed, 1 pooled it
23.4field-weighted citation impact, top 1% 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

97 citing papers in PubMed, 1 synthesis or guideline pooled it, 219 citations in OpenAlex.

  1. Pooled it
  2. Article
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  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Effects of the Prenatal Maternal Health Status on Calf Disease Prevalences and Respective Genetic Parameter Estimates in German Holstein Cattle.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2025
    Article
  11. Differential expression ofVeterinary world · 2025
    Article
  12. Mammalian Species-Specific Resistance to Mammary Cancer.Journal of mammary gland biology and neoplasia · 2025
    Review
  13. Application of Genomic Selection in Beef Cattle Disease Prevention.Animals : an open access journal from MDPI · 2025
    Review
  14. Article
  15. Review
  16. Article
  17. Selection for Resilience in Livestock Production Systems.International journal of molecular sciences · 2024
    Review
  18. Review
  19. Article
  20. Article

37 more citing papers are in PubMed but not listed here.

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 1 institution in 1 country.

Kathleen Thompson-CrispiDepartment of Pathobiology, University of Guelph , Guelph, ON , Canada ; Center for Genetic Improvement of Livestock, University of Guelph , Guelph, ON , Canada.
Heba AtallaDepartment of Pathobiology, University of Guelph , Guelph, ON , Canada ; Center for Genetic Improvement of Livestock, University of Guelph , Guelph, ON , Canada ; Department of Biomedical Science, University of Guelph , Guelph, ON , Canada ; Department of Animal and Poultry Science, University of Guelph , Guelph, ON , Canada.
Filippo MigliorCenter for Genetic Improvement of Livestock, University of Guelph , Guelph, ON , Canada ; Canadian Dairy Network , Guelph, ON , Canada.
Bonnie A MallardDepartment of Pathobiology, University of Guelph , Guelph, ON , Canada ; Center for Genetic Improvement of Livestock, University of Guelph , Guelph, ON , Canada.
University of Guelph · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mastitis is one of the most prevalent and costly diseases in the dairy industry with losses attributable to reduced milk production, discarded milk, early culling, veterinary services, and labor costs. Typically, mastitis is an inflammation of the mammary gland most often, but not limited to, bacterial infection, and is characterized by the movement of leukocytes and serum proteins from the blood to the site of infection. It contributes to compromised milk quality and the potential spread of antimicrobial resistance if antibiotic treatment is not astutely applied. Despite the implementation of management practises and genetic selection approaches, bovine mastitis control continues to be inadequate. However, some novel genetic strategies have recently been demonstrated to reduce mastitis incidence by taking advantage of a cow's natural ability to make appropriate immune responses against invading pathogens. Specifically, dairy cattle with enhanced and balanced immune responses have a lower occurrence of disease, including mastitis, and they can be identified and selected for using the high immune response (HIR) technology. Enhanced immune responsiveness is also associated with improved response to vaccination, increased milk, and colostrum quality. Since immunity is an important fitness trait, beneficial associations with longevity and reproduction are also often noted. This review highlights the genetic regulation of the bovine immune system and its vital contributions to disease resistance. Genetic selection approaches currently used in the dairy industry to reduce the incidence of disease are reviewed, including the HIR technology, genomics to improve disease resistance or immune response, as well as the Immunity(+)™ sire line. Improving the overall immune responsiveness of cattle is expected to provide superior disease resistance, increasing animal welfare and food quality while maintaining favorable production levels to feed a growing population.

Indexed as

disease resistancegenetic selectiongenomicsimmune responsemastitis

Identifiers

PMID25339959
PMCPMC4188034
OpenAlexW2042656316

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.