Milk cathelicidin and somatic cell counts in dairy goats along the course of lactation.

This research communication reports the evaluation of cathelicidin in dairy goat milk for its relationship with the somatic cell count (SCC) and microbial culture results. Considering the limited performances of SCC for mastitis monitoring in goats, there is interest in evaluating alternative diagnostic tools. Cathelicidin is an antimicrobial protein involved in innate immunity of the mammary gland. In this work, half-udder milk was sampled bimonthly from a herd of 37 Alpine goats along an entire lactation and tested with the cathelicidin ELISA together with SCC and bacterial culture. Cathelicidin and SCC showed a strong correlation (r = 0.72; n = 360 milk samples). This was highest in mid-lactation (r = 0.83) and lowest in late lactation (r = 0.61), and was higher in primiparous (0.80, n = 130) than in multiparous goats (0.71, n = 230). Both markers increased with stage of lactation, but cathelicidin increased significantly less than SCC. In addition, peak level in late lactation was lower for cathelicidin (5.05-fold increase) than for SCC (7.64-fold increase). Twenty-one (5.8%) samples were positive to bacteriological culture, 20 for coagulase-negative staphylococci and one for Streptococcus spp.; 18 of them were positive to the cathelicidin ELISA (85.71% sensitivity). Sensitivity of SCC >500 000 and of SCC >1 000 000 cells/ml was lower (71.43 and 23.81%, respectively). Therefore, the high correlation of cathelicidin with SCC during the entire lactation, along with its lower increase in late lactation and good sensitivity in detecting intramammary infection (IMI), indicate a potential for monitoring subclinical mastitis in dairy goats. However, based on this preliminary assessment, specificity should be improved (40.41% for cathelicidin vs. 54.57 and 67.85% for SCC >500 000 and >1 000 000 cells/ml, respectively). Therefore, the application of cathelicidin for detecting goat IMI will require further investigation and optimization, especially concerning the definition of diagnostic thresholds.

Identification of Multidrug-Resistant Escherichia coli from Bovine Clinical Mastitis Using a Ceftiofur-Supplemented Medium.

Escherichia coli causes a significant number of clinical mastitis cases in dairy cattle worldwide. The antimicrobial susceptibility of E. coli is important for both human and animal health. Surveillance reports recorded that the efficacy of most antibiotics is substantially preserved but detection of E. coli from clinical mastitis cases producing extended-spectrum beta-lactamases and plasmid-encoded AmpC beta-lactamases has been reported. These resistance determinants have frequently been associated with multidrug resistance. The aim of this study was to determine if a MacConkey agar medium supplemented with 8 mg/L of ceftiofur (MC-CEF) could be a useful tool to identify cephalosporin-resistant and multidrug-resistant (MDR) E. coli among bovine mastitis isolates. During the period 2010-2011, 773 E. coli were isolated from bovine clinical mastitis milk samples collected in 80 dairy farms in Northern Italy. A total of 105 E. coli were selected and assigned either to group randomly selected E. coli (RSEC; n = 53), based on a random selection among the whole collection of 773 E. coli, or to group ceftiofur-resistant E. coli (CEFREC; n = 52). CEFREC isolates were identified by spreading the 773 E. coli isolates on MC-CEF. Minimum inhibitory concentration (MIC) was used to test the phenotypic antimicrobial susceptibility to 16 antibiotics. The MIC results confirmed the ceftiofur resistance in 73.1% (38/52) of CEFREC isolates, whereas all RSEC isolates were susceptible to ceftiofur. The comparison of MIC values for each antibiotic tested between the two groups revealed significantly higher frequencies of resistance to antimicrobials other than ceftiofur in the CEFREC group. Resistance profiles highlighted a significantly higher frequency of MDR isolates among CEFREC (73.1%) than RSEC (17%) E. coli. The results showed that MC-CEF may be a useful selective medium to identify cephalosporin-resistant and MDR E. coli on dairy farms, without performing MIC on all the isolates.

Study of the association of atmospheric temperature and relative humidity with bulk tank milk somatic cell count in dairy herds using Generalized additive mixed models.

Elevated bulk tank milk somatic cell count (BMSCC) has a negative impact on milk production, milk quality, and animal health. Seasonal increases in herd level somatic cell count (SCC) are commonly associated with elevated environmental temperature and humidity. The Temperature Humidity Index (THI) has been developed to measure general environmental stress in dairy cattle; however, additional work is needed to determine a specific effect of the heat stress index on herd-level SCC. Generalized Additive Model methods were used for a flexible exploration of the relationships between daily temperature, relative humidity, and bulk milk somatic cell count. The data consist of BMSCC and meteorological recordings collected between March 2009 and October 2011 of 10 dairy farms. The results indicate that, an average increase of 0.16% of BMSCC is expected for an increase of 1°C degree of temperature. A complex relationship was found for relative humidity. For example, increase of 0.099%, 0.037% and 0.020% are expected in correspondence to an increase of relative humidity from 50% to 51%, 80% to 81%; and 90% to 91%, respectively. Using this model, it will be possible to provide evidence-based advice to dairy farmers for the use of THI control charts created on the basis of our statistical model.

Pseudomonas aeruginosa in Dairy Goats: Genotypic and Phenotypic Comparison of Intramammary and Environmental Isolates.

Following the identification of a case of severe clinical mastitis in a Saanen dairy goat (goat A), an average of 26 lactating goats in the herd was monitored over a period of 11 months. Milk microbiological analysis revealed the presence of Pseudomonas aeruginosa in 7 of the goats. Among these 7 does, only goat A showed clinical signs of mastitis. The 7 P. aeruginosa isolates from the goat milk and 26 P. aeruginosa isolates from environmental samples were clustered by RAPD-PCR and PFGE analyses in 3 genotypes (G1, G2, G3) and 4 clusters (A, B, C, D), respectively. PFGE clusters A and B correlated with the G1 genotype and included the 7 milk isolates. Although it was not possible to identify the infection source, these results strongly suggest a spreading of the infection from goat A. Clusters C and D overlapped with genotypes G2 and G3, respectively, and included only environmental isolates. The outcome of the antimicrobial susceptibility test performed on the isolates revealed 2 main patterns of multiple resistance to beta-lactam antibiotics and macrolides. Virulence related phenotypes were analyzed, such as swarming and swimming motility, production of biofilm and production of secreted virulence factors. The isolates had distinct phenotypic profiles, corresponding to genotypes G1, G2 and G3. Overall, correlation analysis showed a strong correlation between sampling source, RAPD genotype, PFGE clusters, and phenotypic clusters. The comparison of the levels of virulence related phenotypes did not indicate a higher pathogenic potential in the milk isolates as compared to the environmental isolates.