Introduction: The current study was designed to detect Mycoplasma agalactiae (Ma), Mycoplasma mycoides subsp. capri (Mmc), Mycoplasma capricolum subsp. capricolum (Mcc) and Mycoplasma putrefaciens (Mp) in sheep and goats with clinical signs consistent with contagious agalactia.Material and Methods: A total of 299 samples were collected from 55 mixed herds in Azarbaijan-e-Sharghi province, Iran. Samples were examined using PCR and culture methods.Results: The findings showed that in 40 herds at least one sample was positive by PCR or culture method. Moreover, out of 274 sheep samples, 101 were proved to be positive using the PCR technique and 76 were found positive using the culture method. Out of 25 goat samples, 10 were found positive using PCR and 9 were positive through the culture method. Less than 20% of isolated mycoplasmas were Ma. Ma was detected from almost all studied regions in the province while Mmc, Mcc, and Mp were detected only in a very limited area that was deemed by the research group the mixed infection zone.Conclusion: In vaccination or eradication projects, it would be more economical to focus on mixed infection zones. Further investigation on mixed infection zones could facilitate better understanding of contagious agalactia epidemiology.

Introduction: The current study was designed to detect Mycoplasma agalactiae (Ma), Mycoplasma mycoides subsp. capri (Mmc), Mycoplasma capricolum subsp. capricolum (Mcc) and Mycoplasma putrefaciens (Mp) in sheep and goats with clinical signs consistent with contagious agalactia.

Sandwich ELISA were developed to quantitatively determine conglutinin (CG), mannan-binding protein (MBP), and serum amyloid-P component (SAP) in the sera of cattle. The ELISA system was found to have high repeatability for quantitation of these serum proteins at concentration as low as 5 ng/ml. From results obtained for 10 healthy cows aged 2 to 7 years, mean +/- SD serum concentrations were 56.5 +/- 14.4 micrograms of CG/ml, 2.37 +/- 0.87 micrograms of MBP/ml, and 11.14 +/- 3.92 micrograms of SAP/ml, respectively. Values in 6 healthy heifer calves aged 6 months were 3.45 +/- 1.22 micrograms/ml for CG, 1.71 +/- 0.96 micrograms/ml for MBP, and 5.45 +/- 2.75 micrograms/ml for SAP, respectively. Concentrations in 9 healthy bullocks aged 6 months were 1.83 +/- 0.66 micrograms/ml for CG, 1.04 +/- 0.63 micrograms/ml for MBP, and 4.9 +/- 1.13 micrograms/ml for SAP, respectively.

OBJECTIVE To characterize antimicrobial prescribing patterns of clinicians and clinical services at a large animal veterinary teaching hospital and identify factors associated with antimicrobial prescribing. ANIMALS All large animals (ie, equids, bovids, sheep, goats, camelids, swine, and cervids) evaluated at the New Bolton Center hospital at the University of Pennsylvania from 2013 through 2018. PROCEDURES In a cross-sectional study design, data on antimicrobial use by clinicians and clinical services were collected from administrative and billing records. Multivariable regression modeling was performed to identify factors associated with antimicrobial prescribing patterns. RESULTS Antimicrobials and critically important antimicrobials of the highest priority were dispensed in 42.1% (9,853/23,428) and 24.0% (2,360/9,853) of visits, respectively, and these proportions differed significantly among clinicians. Per visit, the median (interquartile [25th to 75th percentile] range) number of animal-defined daily doses dispensed was 3.6 (0.8 to 11.1) and the mean (SD) number of antimicrobial classes dispensed was 2.0 (1.3). Patient species, age, affected body system, and duration of hospitalization as well as submission of specimens for bacterial culture were significantly associated with prescribing patterns. CONCLUSIONS AND CLINICAL RELEVANCE The frequency and quantity of antimicrobials prescribed differed significantly among clinicians within and across services, even for animals with clinical signs affecting the same body system. Patient- and visit-level factors explained some but not all of the heterogeneity in prescribing patterns, suggesting that other clinician-specific factors drove such practices. More research is needed to better understand antimicrobial prescribing patterns of clinicians, particularly in situations for which no antimicrobial use guidelines have been established.