Literature DB >> 26923880

Immunoprophylaxis in intensive farming systems: the way forward.

Massimo Amadori1, Cinzia Zanotti2.   

Abstract

High levels of production in intensive farming systems are associated with increased replacement rates as a result of multifactorial diseases. The so-called "production diseases" may include low-grade infection reducing profitability without increased morbidity. Such infections are sustained by low pathogenic viral and bacterial agents which give rise to full-blown disease in association with poor environmental conditions. In these farms, the results of vaccination may be disappointing. Therefore, fundamental issues should be dealt with toward successful immunoprophylaxis. High lean meat and milk production are associated with chronic inflammation and activation of the innate immune system vis-à-vis cellular stress. This may negatively affect adaptive immune responses. A negative modulation of the host microbiome by farm management practices and drug treatments is a further risk factor. The immune response to stressed cells questions the usual correlates of protection investigated after vaccination. In particular, there is evidence that specific and non-specific immune responses may overlap in vitro as a result of a high level of innate immune responses to Damage-Associated Molecular Patterns (DAMPS) and stress antigens. A vigorous adaptive immune response to microbial agents may be sometimes counterproductive, as suggested in porcine reproductive and respiratory syndrome virus (PRRSV) infection. Alternative outcomes should be sometimes pursued: a better homeostatic control of the inflammatory response, effective and self-limiting innate immune responses, and even tolerance induction. On the whole, successful immunoprophylaxis in intensive farming systems demands co-ordinated and multi-disciplinary efforts in terms of animal breeding, farm management and hygiene, correct choice and harmonization of the prophylactic tools (vaccines, immunomodulators, pre- and probiotics). Finally, there is evidence that disease-predicting parameters of the innate immune response may greatly ease the identification of herds and animals at risk, and contribute to reduced antibiotic usage on farm. Copyright Â
© 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Disease control; Disease risk assessment; Farm animal; Immunosuppression; Inflammation; Stress

Mesh:

Year:  2016        PMID: 26923880     DOI: 10.1016/j.vetimm.2016.02.011

Source DB:  PubMed          Journal:  Vet Immunol Immunopathol        ISSN: 0165-2427            Impact factor:   2.046


  6 in total

1.  Innate immune responses induced by the saponin adjuvant Matrix-M in specific pathogen free pigs.

Authors:  Viktor Ahlberg; Bernt Hjertner; Per Wallgren; Stina Hellman; Karin Lövgren Bengtsson; Caroline Fossum
Journal:  Vet Res       Date:  2017-05-22       Impact factor: 3.683

2.  Influence of Immune Status on the Airborne Colonization of Piglets with Methicillin-Resistant Staphylococcus aureus (MRSA) Clonal Complex (CC) 398.

Authors:  Kerstin Rosen; Friederike Ebner; Stefanie Schmidt; Susanne Hartmann; Roswitha Merle; Anika Friese; Uwe Roesler
Journal:  Eur J Microbiol Immunol (Bp)       Date:  2020-04-07

3.  Supplementing young cattle with a rumen-protected grape extract around vaccination increases humoral response and antioxidant defenses.

Authors:  Paul Engler; Clémence Desguerets; Mohamed El Amine Benarbia; Yassine Mallem
Journal:  Vet Anim Sci       Date:  2022-01-14

Review 4.  The Swine IFN System in Viral Infections: Major Advances and Translational Prospects.

Authors:  Elisabetta Razzuoli; Federico Armando; Livia De Paolis; Malgorzata Ciurkiewicz; Massimo Amadori
Journal:  Pathogens       Date:  2022-01-27

5.  Scale Difference from the Impact of Disease Control on Pig Production Efficiency.

Authors:  Yaguan Hu; Yanli Yu
Journal:  Animals (Basel)       Date:  2022-10-01       Impact factor: 3.231

6.  Welfare Assessment: Correspondence Analysis of Welfare Score and Hematological and Biochemical Profiles of Dairy Cows in Sardinia, Italy.

Authors:  Federica Loi; Giovannantonio Pilo; Giulia Franzoni; Rossana Re; Francesca Fusi; Luigi Bertocchi; Ugo Santucci; Valentina Lorenzi; Sandro Rolesu; Paola Nicolussi
Journal:  Animals (Basel)       Date:  2021-03-17       Impact factor: 2.752

  6 in total

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