Relationship between total bacteria counts and somatic cell counts from mammary quarters infected by mastitis pathogens

Júnior, João Emídio Ferreira Lopes; Lange, C. C.; Brito, Maria Aparecida Vasconcelos Paiva; Santos, Fabiana Ribeiro; Silva, Marco Aurélio Souto; Moraes, Luciano Castro Dutra de; Souza, Guilherme Nunes de

doi:10.1590/s0103-84782012000400019

Cited by 18 publications

(14 citation statements)

References 11 publications

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“…Table 5 evidences that the properties with TBC >100,000 CFU/mL had higher levels of infection caused by S. aureus and S. agalactiae (87.50%), whereas presence of both agents was observed in only 38.20% of the farms with TBC <10,000 CFU/mL. These results corroborate the findings by Lopes Júnior et al (2012), who verified correlation between BMSCC, TBC, and mastitis pathogens, and found correlation between BMSCC and TBC greater than 0.60 for the agents assessed, in which the coefficient of linear regressions for S. agalactiae (0.542) was higher compared with those for the other mastitis pathogens, followed by that of S. aureus (0.503), suggesting that the intensity of the inflammatory process measured by the BMSCC was associated with the bacterial burden present in the milk of animals affected by mastitis.…”

Section: Resultssupporting

confidence: 86%

Staphylococcus aureus and Streptococcus agalactiae: prevalence, resistance to antimicrobials, and their relationship with the milk quality of dairy cattle herds in Minas Gerais state, Brazil

et al. 2019

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Bovine mastitis is the most frequent disease worldwide in dairy herds, causing high economic losses to producers and industry, as well as having implications for public health due to the zoonotic potential of some agents involved in its etiology and the increased risk of antimicrobial residues in milk and its derivatives. Considering the multifactorial aspect of this disease, knowledge of the agents involved in its etiology and their antimicrobial susceptibility profiles is very important. This study was conducted with 306 dairy herds from the Campo das Vertentes region, located in the south of Minas Gerais state, whose owners were milk suppliers to a dairy in the same region. The study involved approximately 34,000 dairy cows and covered an area of approximately 12,564 km2. In these herds, prevalence rates of Staphylococcus aureus and Streptococcus agalactiae and their relationship with bulk milk somatic cell counts (BMSCC), total bacterial counts (TBC), and daily production were evaluated. In addition, analyses of resistance of these pathogens to the antimicrobials most commonly used in the treatment of mastitis in dairy herds were performed. Microbiological analyses of milk samples from collect from bulk milk tanks were performed aiming to evaluate the prevalence of S. aureus and S. agalactiae. For these proposes, the modified Baird-Parker Agar medium was used for detection of S. aureus and the modified Edwards Agar medium, enriched with 5% defibrinated sheep blood, was used for detection of S. agalactiae. The disc diffusion technique was applied to evaluate antimicrobial resistance. Results show high prevalence rates of S. aureus (70.3%) and S. agalactiae (67.0%) in the dairy farms studied, with 47.71% of the herds showing both pathogens. Associations between BMSCC and the presence of pathogens S. aureus and S. agalactiae and between TBC and the presence of S. agalactiae were observed, demonstrating the influence of these pathogens in milk quality. No variation was observed in the distribution of S. aureus and S. agalactiae in the different strata of daily production. High levels of resistance and multi-resistance were observed among the pathogens S. aureus and S. agalactiae. The results indicate the need for more effective control measures for mastitis caused by S. aureus and S. agalactiae in the dairy herds of the region studied and more judicious use of antimicrobials in order to reduce the problem of resistance to them.

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Section: Resultssupporting

confidence: 86%

Staphylococcus aureus and Streptococcus agalactiae: prevalence, resistance to antimicrobials, and their relationship with the milk quality of dairy cattle herds in Minas Gerais state, Brazil

et al. 2019

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“…Statistical analyses were performed using SPSS 25 (IBM Corp., Armonk, NY, USA). The analysis of the differences of the means of IBC and SCC samples collected from each dairy factory were carried out by a logarithmic transformation of values with log base 10 as reported by Lopes Júnior (2012) and conducted by one-way ANOVAs [8]. If a significant difference (p < 0.05) in the prevalence of pathogens among factories was confirmed by the Chi-square test, post-hoc analyses using the Bonferroni correction were performed for multiple tests in subsequent analyses of the seven dairy factories, as previously reported [23].…”

Section: Discussionmentioning

confidence: 99%

“…In most countries, the bacterial quality of BTM is monitored by individual bacterial counts (IBC) and somatic cell count (SCC) [8,9]. In particular, the majority of somatic cells are leukocytes, which increase in milk, usually as an immune response to mastitis.…”

Section: Introductionmentioning

confidence: 99%

Monitoring and Characteristics of Major Mastitis Pathogens from Bulk Tank Milk in Korea

Yun

Yoon

Lee

2020

Animals

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In many countries, bulk tank milk (BTM) has been used for examining milk and analyzed as an important part of milk quality assurance programs. The objectives of this study were to investigate milk quality and the presence of major mastitis pathogens in BTM, and to compare the characteristics of BTM by dairy factory or company. A total of 1588 batches of BTM samples were collected from 396 dairy farms of seven dairy factories owned by four companies in Korea. The means of individual bacterial counts (IBC) and somatic cell count (SCC) were 3.7 × 104 cells/mL and 1.1 × 105 cells/mL, respectively, and no significant differences among dairy factories were observed. The most common pathogen was Staphylococcus spp. (60.1%), followed by E. faecalis (53.8%), E. coli (37.6%) and Streptococcus spp. (22.5%). Enterococcus spp. showed the highest resistance to tetracyclines (51.1% to 73.9%) and macrolides (46.5%). S. aureus and coagulase-negative staphylococci (CNS) showed the highest resistance to penicillin (28.4% and 40.2%, respectively), and three (3.2%) S. aureus and seven (3.3%) CNS were also methicillin-resistant. These data show the diverse prevalence and characteristics of major mastitis pathogens among factories, and support the development of strong monitoring and prevention programs of mastitis pathogens by commercial dairy operations.

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“…); however, depending on the mastitis pathogen, the increasing total bacterial count in relation to the SCC elevation varies (Lopes Júnior et al . ). The correlation between the proteins of interest, severity of the subclinical mastitis and S. agalactiae bacterial count were therefore calculated.…”

Section: Introductionmentioning

confidence: 97%

Milk protein profiles in response to Streptococcus agalactiae subclinical mastitis in dairy cows

Pongthaisong

Katawatin

Thamrongyoswittayakul³

et al. 2015

Animal Science Journal

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The objective of this study was to investigate the milk protein profiles of normal milk and those of milk during the course of subclinical mastitis, caused by natural Streptococcus agalactiae infection. Two-dimensional gel electrophoresis and liquid chromatography mass spectrometry were used to assess protein profiles and to identify the proteins. The results showed that S. agalactiae subclinical mastitis altered the protein profiles of milk. Following Mascot database matching, 11 and 12 protein types were identified in the milk collected from healthy and S. agalactiae subclinical mastitic udders, respectively. The distinct presence of the antibacterial protein cathelicidin-1 was detected in infected milk samples, which in turn was highly correlated to the severity of subclinical mastitis as represented by the milk somatic cell count (r = 0.616), but not the bacterial count. The protein profile of milk reveals changes in the host response to S. agalactiae intramammary infection; cathelicidin-1 could therefore serve as a biomarker for the detection of subclinical mastitis in dairy cows.

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Relationship between total bacteria counts and somatic cell counts from mammary quarters infected by mastitis pathogens

Cited by 18 publications

References 11 publications

Staphylococcus aureus and Streptococcus agalactiae: prevalence, resistance to antimicrobials, and their relationship with the milk quality of dairy cattle herds in Minas Gerais state, Brazil

Staphylococcus aureus and Streptococcus agalactiae: prevalence, resistance to antimicrobials, and their relationship with the milk quality of dairy cattle herds in Minas Gerais state, Brazil

Monitoring and Characteristics of Major Mastitis Pathogens from Bulk Tank Milk in Korea

Milk protein profiles in response to Streptococcus agalactiae subclinical mastitis in dairy cows

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