Literature DB >> 25638330

Mediation analysis to estimate direct and indirect milk losses due to clinical mastitis in dairy cattle.

J Detilleux1, J P Kastelic2, H W Barkema2.   

Abstract

Milk losses associated with mastitis can be attributed to either effects of pathogens per se (i.e., direct losses) or effects of the immune response triggered by intramammary infection (indirect losses). The distinction is important in terms of mastitis prevention and treatment. Regardless, the number of pathogens is often unknown (particularly in field studies), making it difficult to estimate direct losses, whereas indirect losses can be approximated by measuring the association between increased somatic cell count (SCC) and milk production. An alternative is to perform a mediation analysis in which changes in milk yield are allocated into their direct and indirect components. We applied this method on data for clinical mastitis, milk and SCC test-day recordings, results of bacteriological cultures (Escherichia coli, Staphylococcus aureus, Streptococcus uberis, coagulase-negative staphylococci, Streptococcus dysgalactiae, and streptococci other than Strep. dysgalactiae and Strep. uberis), and cow characteristics. Following a diagnosis of clinical mastitis, the cow was treated and changes (increase or decrease) in milk production before and after a diagnosis were interpreted counterfactually. On a daily basis, indirect changes, mediated by SCC increase, were significantly different from zero for all bacterial species, with a milk yield decrease (ranging among species from 4 to 33g and mediated by an increase of 1000 SCC/mL/day) before and a daily milk increase (ranging among species from 2 to 12g and mediated by a decrease of 1000 SCC/mL/day) after detection. Direct changes, not mediated by SCC, were only different from zero for coagulase-negative staphylococci before diagnosis (72g per day). We concluded that mixed structural equation models were useful to estimate direct and indirect effects of the presence of clinical mastitis on milk yield.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Clinical mastitis; Mediation analysis; Milk yield; Somatic cell count

Mesh:

Year:  2015        PMID: 25638330     DOI: 10.1016/j.prevetmed.2015.01.009

Source DB:  PubMed          Journal:  Prev Vet Med        ISSN: 0167-5877            Impact factor:   2.670


  6 in total

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Authors:  Aqeela Ashraf; Muhammad Imran
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2.  In vivo model to study the impact of genetic variation on clinical outcome of mastitis in uniparous dairy cows.

Authors:  L Rohmeier; W Petzl; M Koy; T Eickhoff; A Hülsebusch; S Jander; L Macias; A Heimes; S Engelmann; M Hoedemaker; H M Seyfert; C Kühn; H J Schuberth; H Zerbe; M M Meyerholz
Journal:  BMC Vet Res       Date:  2020-01-31       Impact factor: 2.741

3.  Menthol Targeting AMPK Alleviates the Inflammatory Response of Bovine Mammary Epithelial Cells and Restores the Synthesis of Milk Fat and Milk Protein.

Authors:  Songqi Liu; Wenjin Guo; Yuxi Jia; Bojian Ye; Shu Liu; Shoupeng Fu; Juxiong Liu; Guiqiu Hu
Journal:  Front Immunol       Date:  2021-12-22       Impact factor: 7.561

4.  Emulsion-Based Postbiotic Formulation Is Comparable to Viable Cells in Eliciting a Localized Immune Response in Dairy Cows With Chronic Mastitis.

Authors:  Harsh Mathur; Kevin Linehan; James Flynn; Noel Byrne; Pat Dillon; Muireann Conneely; Ghjuvan Grimaud; Colin Hill; Catherine Stanton; R Paul Ross
Journal:  Front Microbiol       Date:  2022-03-22       Impact factor: 5.640

5.  Niacin Alleviates Dairy Cow Mastitis by Regulating the GPR109A/AMPK/NRF2 Signaling Pathway.

Authors:  Wenjin Guo; Juxiong Liu; Wen Li; He Ma; Qian Gong; Xingchi Kan; Yu Cao; Jianfa Wang; Shoupeng Fu
Journal:  Int J Mol Sci       Date:  2020-05-08       Impact factor: 5.923

6.  Genome-Wide DNA Methylation Analysis of Mammary Gland Tissues From Chinese Holstein Cows With Staphylococcus aureus Induced Mastitis.

Authors:  Mengqi Wang; Yan Liang; Eveline M Ibeagha-Awemu; Mingxun Li; Huimin Zhang; Zhi Chen; Yujia Sun; Niel A Karrow; Zhangping Yang; Yongjiang Mao
Journal:  Front Genet       Date:  2020-10-19       Impact factor: 4.599

  6 in total

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