Advantages and Challenges of Differential Immune Cell Count Determination in Blood and Milk for Monitoring the Health and Well-Being of Dairy Cows

Farschtschi, Sabine; Mattes, Martin; Pfaffl, Michael W.

doi:10.3390/vetsci9060255

Cited by 5 publications

(4 citation statements)

References 141 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, during these early stages of the innate immune response and inflammation, neutrophil proportions can be as high as 95% [57]. Farschtschi et al [58] recently published an exhaustive review, which is recommended for additional information.…”

Section: Differential Scc (Dscc)mentioning

confidence: 99%

Association of Milk Somatic Cell Count with Bacteriological Cure of Intramammary Infection—A Review

et al. 2022

View full text Add to dashboard Cite

Mastitis is a costly disease in dairy cattle as a result of decreased milk production, discarded milk, and other economic drivers such as treatment costs. Although it can be costly, effective antibiotic therapy is useful to ensure the health and productivity of dairy cattle. Antibiotic usage to treat mastitis can be implemented after diagnosis based upon detection of increased milk somatic cell counts (SCC). Previous work demonstrated antibiotic treatment tends to be more effective when milk SCC are lower prior to treatment. An approach to increasing the cure rates of mastitis may be evaluating milk SCC prior to administering treatment. In order to investigate this potential tool, an effective and reliable method to enumerate SCC is critical. In this review, we (a) dissect the different definitions of cure, (b) review the methods available for enumerating SCC, and (c) discuss factors that are associated with intramammary infection cure with an emphasis on SCC.

show abstract

Section: Differential Scc (Dscc)mentioning

confidence: 99%

Association of Milk Somatic Cell Count with Bacteriological Cure of Intramammary Infection—A Review

et al. 2022

View full text Add to dashboard Cite

show abstract

“…In general, the somatic cell count (SCC) in milk is > 97% leukocytes and < 3% mammary epithelial cells (MECs) [ 18 , 19 ]. The innate immune response during IMI leads to enhanced recruitment of immune cells, which are important for defense against invading pathogens.…”

Section: Introductionmentioning

confidence: 99%

“…To further distinguish between cell types in milk, the differential milk cell count (DMCC) has gained increasing attention in recent years [ 18 ]. Twenty-five years ago, the DMCC was described to allow the detection of mastitis in its initial phase via the analysis of different immune cell populations in milk [ 26 ].…”

Section: Introductionmentioning

confidence: 99%

“…The DMCC is more accurate than the SCC and provides additional information for detecting mastitis in different and early stages as well as for detecting subclinical mastitis in patients with an SCC of < 100,000 cells / ml. The accuracy of the DMCC for detecting subclinical mastitis under field conditions has been evaluated [ 36 ], and the DMCC has been suggested as a tool for monitoring disease progression or treatment success [ 18 ]. Thus, the DMCC can serve as a tool for preventive health management in dairy cows, allowing early and accurate detection of mastitis.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Cows with diverging haplotypes show differences in differential milk cell count, milk parameters and vaginal temperature after S. aureus challenge but not after E. coli challenge

Müller-Langhans,

Oberberger,

Zablotski

et al. 2024

BMC Vet Res

View full text Add to dashboard Cite

Background In dairy cattle, mastitis causes high financial losses and impairs animal well-being. Genetic selection is used to breed cows with reduced mastitis susceptibility. Techniques such as milk cell flow cytometry may improve early mastitis diagnosis. In a highly standardized in vivo infection model, 36 half-sib cows were selected for divergent paternal Bos taurus chromosome 18 haplotypes (Q vs. q) and challenged with Escherichia coli for 24 h or Staphylococcus aureus for 96 h, after which the samples were analyzed at 12 h intervals. Vaginal temperature (VT) was recorded every three minutes. The objective of this study was to compare the differential milk cell count (DMCC), milk parameters (fat %, protein %, lactose %, pH) and VT between favorable (Q) and unfavorable (q) haplotype cows using Bayesian models to evaluate their potential as improved early indicators of differential susceptibility to mastitis. Results After S. aureus challenge, compared to the Q half-sibship cows, the milk of the q cows exhibited higher PMN levels according to the DMCC (24 h, p < 0.001), a higher SCC (24 h, p < 0.01 and 36 h, p < 0.05), large cells (24 h, p < 0.05) and more dead (36 h, p < 0.001) and live cells (24 h, p < 0.01). The protein % was greater in Q milk than in q milk at 0 h (p = 0.025). In the S. aureus group, Q cows had a greater protein % (60 h, p = 0.048) and fat % (84 h, p = 0.022) than q cows. Initially, the greater VT of S. aureus-challenged q cows (0 and 12–24 h, p < 0.05) reversed to a lower VT in q cows than in Q cows (48–60 h, p < 0.05). Additionally, the following findings emphasized the validity of the model: in the S. aureus group all DMCC subpopulations (24 h-96 h, p < 0.001) and in the E. coli group nearly all DMCC subpopulations (12 h-24 h, p < 0.001) were higher in challenged quarters than in unchallenged quarters. The lactose % was lower in the milk samples of E. coli-challenged quarters than in those of S. aureus-challenged quarters (24 h, p < 0.001). Between 12 and 18 h, the VT was greater in cows challenged with E. coli than in those challenged with S. aureus (3-h interval approach, p < 0.001). Conclusion This in vivo infection model confirmed specific differences between Q and q cows with respect to the DMCC, milk component analysis results and VT results after S. aureus inoculation but not after E. coli challenge. However, compared with conventional milk cell analysis monitoring, e.g., the global SCC, the DMCC analysis did not provide refined phenotyping of the pathogen response.

show abstract

The successful use of -omic technologies to achieve the ‘One Health’ concept in meat producing animals

et al. 2022

View full text Add to dashboard Cite

Advantages and Challenges of Differential Immune Cell Count Determination in Blood and Milk for Monitoring the Health and Well-Being of Dairy Cows

Cited by 5 publications

References 141 publications

Association of Milk Somatic Cell Count with Bacteriological Cure of Intramammary Infection—A Review

Association of Milk Somatic Cell Count with Bacteriological Cure of Intramammary Infection—A Review

Cows with diverging haplotypes show differences in differential milk cell count, milk parameters and vaginal temperature after S. aureus challenge but not after E. coli challenge

The successful use of -omic technologies to achieve the ‘One Health’ concept in meat producing animals

Contact Info

Product

Resources

About