Literature DB >> 23024454

Type 1 and type 2 immune response profiles of commercial dairy cows in 4 regions across Canada.

Kathleen A Thompson-Crispi1, Bonnie A Mallard.   

Abstract

Diseases of dairy cattle have adverse implications for both the dairy industry and animal welfare. Understanding adaptive immune response profiles of cattle on a national scale will provide insight into the potential for improving health and decreasing disease. The objectives of the present study were to evaluate immune response phenotypes of Holstein cows outside the peripartum period and to determine if antibody isotype bias to putative type 1 and type 2 test antigens is maintained. The cows, housed on commercial farms in 4 key dairy regions across Canada, were immunized with test antigens to measure their ability to mount cell-mediated immune responses (CMIR) and antibody-mediated immune responses (AMIR). Delayed-type hypersensitivity (DTH) was used as an indicator of CMIR and primary and secondary serum antibodies of the immunoglobulin (Ig) G1 and IgG2 isotypes were used to determine AMIR to the test antigens. Immune response phenotypes varied significantly among regions, herds, and cows. Cows in Alberta had significantly higher DTH responses and secondary responses to the type 2 test antigen than those in other regions. However, cows in Alberta had significantly lower primary antibody responses. It was found that Alberta had the lowest incidence of mastitis caused by Escherichia coli and Staphylococcus aureus compared with other regions. The IgG1/IgG2 antibody isotype ratio confirmed the nature of the test antigens. This was the first study to evaluate adaptive immune response profiles and disease incidence of dairy cows on a national scale and it therefore provides a glimpse of the current situation in Canada.

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Year:  2012        PMID: 23024454      PMCID: PMC3314434     

Source DB:  PubMed          Journal:  Can J Vet Res        ISSN: 0830-9000            Impact factor:   1.310


  35 in total

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Authors:  Armando Hernández; Julie A Yager; Bruce N Wilkie; Kenneth E Leslie; Bonnie A Mallard
Journal:  Vet Immunol Immunopathol       Date:  2005-03-10       Impact factor: 2.046

2.  Genetic selection for high and low immune response in pigs: effects on immunoglobulin isotype expression.

Authors:  Angela M Crawley; Bonnie Mallard; Bruce N Wilkie
Journal:  Vet Immunol Immunopathol       Date:  2005-10-18       Impact factor: 2.046

3.  Antibody responses against the G and F proteins of bovine respiratory syncytial virus after experimental and natural infections.

Authors:  R S Schrijver; J P Langedijk; W H van der Poel; W G Middel; J A Kramps; J T van Oirschot
Journal:  Clin Diagn Lab Immunol       Date:  1996-09

4.  Association of bovine leukocyte antigen (BoLA) DRB3.2 with immune response, mastitis, and production and type traits in Canadian Holsteins.

Authors:  R Rupp; A Hernandez; B A Mallard
Journal:  J Dairy Sci       Date:  2007-02       Impact factor: 4.034

5.  Seroprevalence of Mycobacterium avium subspecies paratuberculosis, Neospora caninum, Bovine leukemia virus, and Bovine viral diarrhea virus infection among dairy cattle and herds in Alberta and agroecological risk factors associated with seropositivity.

Authors:  H Morgan Scott; Ole Sorensen; John T Y Wu; Eva Y W Chow; Ken Manninen; John A VanLeeuwen
Journal:  Can Vet J       Date:  2006-10       Impact factor: 1.008

6.  Effects of supplemental chromium on immune responses of periparturient and early lactation dairy cows.

Authors:  J L Burton; B A Mallard; D N Mowat
Journal:  J Anim Sci       Date:  1993-06       Impact factor: 3.159

7.  Variation in serum immunoglobulins in Canadian Holstein-Friesians.

Authors:  B A Mallard; E B Burnside; J H Burton; B N Wilkie
Journal:  J Dairy Sci       Date:  1983-04       Impact factor: 4.034

8.  Relationship among leukocyte phagocytosis, milk immunoglobulins, and susceptibility to intramammary infection.

Authors:  A J Guidry; R E Pearson; M J Paape; W F Williams
Journal:  Am J Vet Res       Date:  1980-07       Impact factor: 1.156

9.  Immunological parameters of periparturient Holstein cattle: genetic variation.

Authors:  J C Detilleux; K J Koehler; A E Freeman; M E Kehrli; D H Kelley
Journal:  J Dairy Sci       Date:  1994-09       Impact factor: 4.034

10.  Genetic selection for health traits using producer-recorded data. I. Incidence rates, heritability estimates, and sire breeding values.

Authors:  N R Zwald; K A Weigel; Y M Chang; R D Welper; J S Clay
Journal:  J Dairy Sci       Date:  2004-12       Impact factor: 4.034

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  6 in total

1.  Vaccination with recombinant paramyosin in Montanide ISA206 protects against Schistosoma japonicum infection in water buffalo.

Authors:  Hannah Wei Wu; Zhi-Qiang Fu; Ke Lu; Sunthorn Pond-Tor; Rui Meng; Yang Hong; Kai Chu; Hao Li; Mario Jiz; Jin-Ming Liu; Ming Hou; Sangshin Park; Jiao-Jiao Lin; Jonathan D Kurtis
Journal:  Vaccine       Date:  2017-05-11       Impact factor: 3.641

2.  Incidence rates of clinical mastitis among Canadian Holsteins classified as high, average, or low immune responders.

Authors:  Kathleen A Thompson-Crispi; Filippo Miglior; Bonnie A Mallard
Journal:  Clin Vaccine Immunol       Date:  2012-11-21

Review 3.  Bovine mastitis: frontiers in immunogenetics.

Authors:  Kathleen Thompson-Crispi; Heba Atalla; Filippo Miglior; Bonnie A Mallard
Journal:  Front Immunol       Date:  2014-10-07       Impact factor: 7.561

Review 4.  Use of Genomic Tools to Improve Cattle Health in the Context of Infectious Diseases.

Authors:  Mikolaj M Raszek; Le L Guan; Graham S Plastow
Journal:  Front Genet       Date:  2016-03-07       Impact factor: 4.599

5.  A genome-wide association study of immune response traits in Canadian Holstein cattle.

Authors:  Kathleen A Thompson-Crispi; Mehdi Sargolzaei; Ricardo Ventura; Mohammed Abo-Ismail; Filippo Miglior; Flavio Schenkel; Bonnie A Mallard
Journal:  BMC Genomics       Date:  2014-07-04       Impact factor: 3.969

6.  A genome-wide association study for natural antibodies measured in blood of Canadian Holstein cows.

Authors:  Britt de Klerk; Mehdi Emam; Kathleen A Thompson-Crispi; Mehdi Sargolzaei; Johan J van der Poel; Bonnie A Mallard
Journal:  BMC Genomics       Date:  2018-09-21       Impact factor: 3.969

  6 in total

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