Literature DB >> 11580061

Longitudinal evaluation of bovine mammary gland health status by somatic cell counting, flow cytometry, and cytology.

A L Rivas1, F W Quimby, J Blue, O Coksaygan.   

Abstract

Bovine mastitis phases induced by Staphylococcus aureus were assessed in 6 lactating cows before challenge and at 1, 4-8, and 9-14 days postinoculation (dpi). Milk lymphocytes, macrophages, and polymorphonuclear cells (PMN) were counted by conventional (manual) cytology, identified by CD3+ and CD11b+ immunofluorescence and counted by flow cytometry (based on leukocyte forward and side light scatter values). Somatic cell counts (SCC) and recovery of bacteria were recorded at the same times. Preinoculation samples showed a lymphocyte-dominated composition. At 1 dpi, the percentage of PMN increased and that of lymphocytes decreased. At 4-8 dpi, PMN were predominant, but the percentage of mononuclear cells increased above that at 1 dpi and further increased by 9-14 dpi (when lymphocytes approached prechallenge values). Based on leukocyte percentages, 3 indices were created from the data: 1) the PMN/lymphocyte percentage ratio (PMN/L), 2) the PMN/macrophage percentage ratio (PMN/M), and 3) the phagocyte (PMN and macrophage)/lymphocyte percentage ratio (Phago/L). Significant correlations were found between cytologic and flow cytometric data in all of these indicators (all with P < or = 0.01). These indices identified nonmastitic, early inflammatory (1-8 dpi), and late inflammatory (9-14 dpi) animals. In contrast, SCC and bacteriology did not. Although sensitivity of the SCC was similar to that of Phago/L, the specificity of SCC was almost half that of the Phago/L index. Based on flow cytometry indicators, an algorithm for presumptive diagnosis of bovine mastitis was developed. Flow cytometry provides results as valid as those obtained by conventional (manual) cytology, shows greater ability to identify mastitic cases than does SCC, and may identify 3 mammary gland health-related conditions.

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Year:  2001        PMID: 11580061     DOI: 10.1177/104063870101300506

Source DB:  PubMed          Journal:  J Vet Diagn Invest        ISSN: 1040-6387            Impact factor:   1.279


  10 in total

1.  Blood and milk cellular immune responses of mastitic non-periparturient cows inoculated with Staphylococcus aureus.

Authors:  A L Rivas; R Tadevosyan; F W Quimby; D H Lein
Journal:  Can J Vet Res       Date:  2002-04       Impact factor: 1.310

2.  Using High-Resolution Differential Cell Counts (HRDCCs) in Bovine Milk and Blood to Monitor the Immune Status over the Entire Lactation Period.

Authors:  Sabine Farschtschi; Alex Hildebrandt; Martin Mattes; Benedikt Kirchner; Michael W Pfaffl
Journal:  Animals (Basel)       Date:  2022-05-24       Impact factor: 3.231

3.  Multifactorial relationships between intramammary invasion by Staphylococcus aureus and bovine leukocyte markers.

Authors:  Ariel L Rivas; Steven J Schwager; Rubén N González; Fred W Quimby; Kevin L Anderson
Journal:  Can J Vet Res       Date:  2007-04       Impact factor: 1.310

4.  Identification of subpopulations of bovine mammary-gland phagocytes and evaluation of sensitivity and specificity of morphologic and functional indicators of bovine mastitis.

Authors:  A L Rivas; R Tadevosyan; F W Quimby; T Coksaygan; D H Lein
Journal:  Can J Vet Res       Date:  2002-07       Impact factor: 1.310

5.  Relationships between the phagocytic ability of milk macrophages and polymorphonuclear cells and somatic cell counts in uninfected cows.

Authors:  Ariel L Rivas; Rudolph Tadevosyan; Ronald C Gorewit; Kevin L Anderson; Roberta Lyman; Rubén N González
Journal:  Can J Vet Res       Date:  2006-01       Impact factor: 1.310

6.  Feedback-based, system-level properties of vertebrate-microbial interactions.

Authors:  Ariel L Rivas; Mark D Jankowski; Renata Piccinini; Gabriel Leitner; Daniel Schwarz; Kevin L Anderson; Jeanne M Fair; Almira L Hoogesteijn; Wilfried Wolter; Marcelo Chaffer; Shlomo Blum; Tom Were; Stephen N Konah; Prakash Kempaiah; John M Ong'echa; Ulrike S Diesterbeck; Rachel Pilla; Claus-Peter Czerny; James B Hittner; James M Hyman; Douglas J Perkins
Journal:  PLoS One       Date:  2013-02-20       Impact factor: 3.240

7.  Visualizing the indefinable: three-dimensional complexity of 'infectious diseases'.

Authors:  Gabriel Leitner; Shlomo E Blum; Ariel L Rivas
Journal:  PLoS One       Date:  2015-04-14       Impact factor: 3.240

8.  Development of an advanced flow cytometry based high-resolution immunophenotyping method to benchmark early immune response in dairy cows.

Authors:  Sabine Farschtschi; Martin Mattes; Alex Hildebrandt; Dapi Chiang; Benedikt Kirchner; Heike Kliem; Michael W Pfaffl
Journal:  Sci Rep       Date:  2021-11-24       Impact factor: 4.379

Review 9.  Advantages and Challenges of Differential Immune Cell Count Determination in Blood and Milk for Monitoring the Health and Well-Being of Dairy Cows.

Authors:  Sabine Farschtschi; Martin Mattes; Michael W Pfaffl
Journal:  Vet Sci       Date:  2022-05-27

10.  Relationship between total and differential quarter somatic cell counts at dry-off and early lactation.

Authors:  Aldo Dal Prà; Filippo Biscarini; Gian Luca Cavani; Saverio Bacchelli; Alcide Iotti; Sara Borghi; Marco Nocetti; Paolo Moroni
Journal:  PLoS One       Date:  2022-10-17       Impact factor: 3.752

  10 in total

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