Cell Differentiation of Bovine Milk Control Samples to Improve Prognosis of Mastitis Cure

Research output: Contribution to journalJournal articleResearchpeer-review

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Cell Differentiation of Bovine Milk Control Samples to Improve Prognosis of Mastitis Cure. / Bunge, Anne; Dreyer, Sonja; Paduch, Jan Hendrik; Klocke, Doris; Leimbach, Stefanie; Wente, Nicole; Nitz, Julia; Krömker, Volker.

In: Antibiotics, Vol. 11, No. 2, 259, 2022.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Bunge, A, Dreyer, S, Paduch, JH, Klocke, D, Leimbach, S, Wente, N, Nitz, J & Krömker, V 2022, 'Cell Differentiation of Bovine Milk Control Samples to Improve Prognosis of Mastitis Cure', Antibiotics, vol. 11, no. 2, 259. https://doi.org/10.3390/antibiotics11020259

APA

Bunge, A., Dreyer, S., Paduch, J. H., Klocke, D., Leimbach, S., Wente, N., Nitz, J., & Krömker, V. (2022). Cell Differentiation of Bovine Milk Control Samples to Improve Prognosis of Mastitis Cure. Antibiotics, 11(2), [259]. https://doi.org/10.3390/antibiotics11020259

Vancouver

Bunge A, Dreyer S, Paduch JH, Klocke D, Leimbach S, Wente N et al. Cell Differentiation of Bovine Milk Control Samples to Improve Prognosis of Mastitis Cure. Antibiotics. 2022;11(2). 259. https://doi.org/10.3390/antibiotics11020259

Author

Bunge, Anne ; Dreyer, Sonja ; Paduch, Jan Hendrik ; Klocke, Doris ; Leimbach, Stefanie ; Wente, Nicole ; Nitz, Julia ; Krömker, Volker. / Cell Differentiation of Bovine Milk Control Samples to Improve Prognosis of Mastitis Cure. In: Antibiotics. 2022 ; Vol. 11, No. 2.

Bibtex

@article{51b4e4334f20406db7061562dc957e63,
title = "Cell Differentiation of Bovine Milk Control Samples to Improve Prognosis of Mastitis Cure",
abstract = "To optimise udder health at the herd level, identifying incurable mastitis cases as well as providing an adequate therapy and culling strategy are necessary. Cows with clinical mastitis should be administered antibiotic medication if it is most likely to improve mammary cure. The somatic cell count (SCC) in milk of the monthly implemented Dairy Herd Improvement (DHI) test represents the most important tool to decide whether a cow has a promising mammary cure rate. Differential cell count (DCC) facilitates the specification of the immunological ability of defence, for example by characterising leukocyte subpopulations or cell viability. The aim of this study was to assess the DCC and cell viability in DHI milk samples regarding the cytological (CC) and bacteriological cure (BC) of the udder within a longitudinal study, thereby gaining a predictive evaluation of whether a clinical mastitis benefits from an antibiotic treatment or not. The cows enrolled in this study had an SCC above 200,000 cells/mL in the previous DHI test. Study 1 assessed the CC by reference to the SCC of two consecutive DHI tests and included 1010 milk samples: 28.4% of the mammary glands were classified as cytologically cured and 71.6% as uncured. The final mixed logistic regression model identified the total number of non-vital cells as a significant factor associated with CC. An increasing amount of non-vital cells was related to a lower individual ability for CC. Cows which were in the first or second lactation possessed a higher probability of CC than cows having a lactation number above two. If animals developed a clinical mastitis after flow cytometric investigation, the BC was examined in study 2 by analysing quarter foremilk samples microbiologically. Taking 48 milk samples, 81.3% of the mammary glands were classified as bacteriologically cured and 18.7% as uncured. The percentage of total non-vital cells tended to be lower for cows which were cured, but no significance could be observed. This study revealed that the investigation of the proportion of non-vital cells in DHI milk samples can enhance the prognosis of whether an antibiotic treatment of clinical mastitis might be promising or not. Prospectively, this tool may be integrated in the DHI tests to facilitate the decision between therapy or culling.",
keywords = "Bovine mastitis, Cell viability, Differential cell count, Mammary cure, Somatic cell count",
author = "Anne Bunge and Sonja Dreyer and Paduch, {Jan Hendrik} and Doris Klocke and Stefanie Leimbach and Nicole Wente and Julia Nitz and Volker Kr{\"o}mker",
note = "Publisher Copyright: {\textcopyright} 2022 by the authors. Licensee MDPI, Basel, Switzerland.",
year = "2022",
doi = "10.3390/antibiotics11020259",
language = "English",
volume = "11",
journal = "Antibiotics",
issn = "2079-6382",
publisher = "M D P I AG",
number = "2",

}

RIS

TY - JOUR

T1 - Cell Differentiation of Bovine Milk Control Samples to Improve Prognosis of Mastitis Cure

AU - Bunge, Anne

AU - Dreyer, Sonja

AU - Paduch, Jan Hendrik

AU - Klocke, Doris

AU - Leimbach, Stefanie

AU - Wente, Nicole

AU - Nitz, Julia

AU - Krömker, Volker

N1 - Publisher Copyright: © 2022 by the authors. Licensee MDPI, Basel, Switzerland.

PY - 2022

Y1 - 2022

N2 - To optimise udder health at the herd level, identifying incurable mastitis cases as well as providing an adequate therapy and culling strategy are necessary. Cows with clinical mastitis should be administered antibiotic medication if it is most likely to improve mammary cure. The somatic cell count (SCC) in milk of the monthly implemented Dairy Herd Improvement (DHI) test represents the most important tool to decide whether a cow has a promising mammary cure rate. Differential cell count (DCC) facilitates the specification of the immunological ability of defence, for example by characterising leukocyte subpopulations or cell viability. The aim of this study was to assess the DCC and cell viability in DHI milk samples regarding the cytological (CC) and bacteriological cure (BC) of the udder within a longitudinal study, thereby gaining a predictive evaluation of whether a clinical mastitis benefits from an antibiotic treatment or not. The cows enrolled in this study had an SCC above 200,000 cells/mL in the previous DHI test. Study 1 assessed the CC by reference to the SCC of two consecutive DHI tests and included 1010 milk samples: 28.4% of the mammary glands were classified as cytologically cured and 71.6% as uncured. The final mixed logistic regression model identified the total number of non-vital cells as a significant factor associated with CC. An increasing amount of non-vital cells was related to a lower individual ability for CC. Cows which were in the first or second lactation possessed a higher probability of CC than cows having a lactation number above two. If animals developed a clinical mastitis after flow cytometric investigation, the BC was examined in study 2 by analysing quarter foremilk samples microbiologically. Taking 48 milk samples, 81.3% of the mammary glands were classified as bacteriologically cured and 18.7% as uncured. The percentage of total non-vital cells tended to be lower for cows which were cured, but no significance could be observed. This study revealed that the investigation of the proportion of non-vital cells in DHI milk samples can enhance the prognosis of whether an antibiotic treatment of clinical mastitis might be promising or not. Prospectively, this tool may be integrated in the DHI tests to facilitate the decision between therapy or culling.

AB - To optimise udder health at the herd level, identifying incurable mastitis cases as well as providing an adequate therapy and culling strategy are necessary. Cows with clinical mastitis should be administered antibiotic medication if it is most likely to improve mammary cure. The somatic cell count (SCC) in milk of the monthly implemented Dairy Herd Improvement (DHI) test represents the most important tool to decide whether a cow has a promising mammary cure rate. Differential cell count (DCC) facilitates the specification of the immunological ability of defence, for example by characterising leukocyte subpopulations or cell viability. The aim of this study was to assess the DCC and cell viability in DHI milk samples regarding the cytological (CC) and bacteriological cure (BC) of the udder within a longitudinal study, thereby gaining a predictive evaluation of whether a clinical mastitis benefits from an antibiotic treatment or not. The cows enrolled in this study had an SCC above 200,000 cells/mL in the previous DHI test. Study 1 assessed the CC by reference to the SCC of two consecutive DHI tests and included 1010 milk samples: 28.4% of the mammary glands were classified as cytologically cured and 71.6% as uncured. The final mixed logistic regression model identified the total number of non-vital cells as a significant factor associated with CC. An increasing amount of non-vital cells was related to a lower individual ability for CC. Cows which were in the first or second lactation possessed a higher probability of CC than cows having a lactation number above two. If animals developed a clinical mastitis after flow cytometric investigation, the BC was examined in study 2 by analysing quarter foremilk samples microbiologically. Taking 48 milk samples, 81.3% of the mammary glands were classified as bacteriologically cured and 18.7% as uncured. The percentage of total non-vital cells tended to be lower for cows which were cured, but no significance could be observed. This study revealed that the investigation of the proportion of non-vital cells in DHI milk samples can enhance the prognosis of whether an antibiotic treatment of clinical mastitis might be promising or not. Prospectively, this tool may be integrated in the DHI tests to facilitate the decision between therapy or culling.

KW - Bovine mastitis

KW - Cell viability

KW - Differential cell count

KW - Mammary cure

KW - Somatic cell count

U2 - 10.3390/antibiotics11020259

DO - 10.3390/antibiotics11020259

M3 - Journal article

C2 - 35203861

AN - SCOPUS:85125087883

VL - 11

JO - Antibiotics

JF - Antibiotics

SN - 2079-6382

IS - 2

M1 - 259

ER -

ID: 299495549