Extraction and determination of adenosine 5'-triphosphate in bovine milk by the firefly luciferase assay

The release of ATP from somatic cells in milk with the detergent Triton X-100 was optimized for assay with firefly luciferase. A small volume of milk (40 microliters) is added to 0.8 ml of 0.2% Triton X-100 in 100 mM Tris, 4 mm EDTA, pH 7.8. After approximately 1 min, 0.2 ml of luciferase reagent is added and the emission of light is measured in a luminometer. Results are calibrated with an ATP standard. This single method gave high yields of ATP from somatic cells in milk without interference from bacterial ATP. Extracts could be stored or transported prior to assay without deterioration of results. A close correlation was found between somatic cell count and ATP in milk samples collected at a farm as well as in milk samples from a cow with experimental mastitis. Results are promising for future use for diagnosis of mastitis but further work and field testing has to be done before it can be used on a wider scale.     

Characterization of hemolytic activity of Staphylococcus aureus strains isolated from bovine mastitic milk

Beta (beta) and delta (delta)-hemolysin of Staphylococcus aureus strains were cultured in vitro in milk lactoserum (whey) prepared from both healthy and mastitis bovine milk. Production of beta- and delta-hemolysins were detected in 12 out of 50 strains studied. The association between N-acetyl-beta-D-glucosaminidase (NAGase) activity, plasmin activity (PL) and trypsin inhibitory capacity (TIC), known as inflammatory indicators for mastitis, and hemolytic activity were also studied. Mastitic milk decreased directly the lytic effect of both beta-and delta-hemolysins of S. aureus on hemolytical blood agar plates. S. aureus in healthy milk samples produced more beta-hemolysin (3 times) and delta-hemolysin (2 times) when compared to S. aureus supernatants in milk from infected quarters. Furthermore, beta- and delta-hemolysis correlated negatively with TIC and NAGase and PL activities. Addition of reduced glutathione (GSH) or beta-mercaptoethanol into the artificial medium enhanced hemolysins activity.     

Enzyme activity and acute phase proteins in milk utilized as indicators of acute clinical E. coli LPS-induced mastitis

The importance of non-visual and on-line monitoring of udder health increases as the contact between humans and animals decreases, for example, in robotic milking systems. Several indicator systems have been introduced commercially, and a number of techniques are currently in use. This study describes the kinetics of seven indigenous milk parameters for monitoring udder inflammation in an Escherichia coli lipopolysaccharide (LPS, endotoxin)-induced mastitis model. Proportional milk from LPS-infused quarters was compared with milk from parallel quarters, which were placebo-treated with sterile 0.9% NaCl solution. Somatic cell counts (SCCs), the acute phase proteins (APP), that is, milk amyloid A (MAA) and haptoglobin (Hp), and the enzymes N-acetyl-β-D-glucosaminidase (NAGase), lactate dehydrogenase (LDH), alkaline phosphatase (AP) and acid phosphatase (AcP) were measured at fixed intervals during the period from -2 to +5 days after LPS and NaCl infusions. All parameters responded significantly faster and were more pronounced to the LPS infusions compared with the NaCl infusions. All parameters were elevated in the proportional milk collected at the first milking 7 h after infusion and developed a monophasic response, except Hp and MAA that developed biphasic response. SCC, LDH, NAGase and Hp peaked at 21 h followed by AP, AcP and MAA peaking at 31 h with the highest fold changes seen for MAA (23 780×), LDH (126×), NAGase (50×) and Hp (16×). In the recovery phase, AP, AcP and Hp reached base levels first, at 117 h, whereas LDH, NAGase and MAA remained elevated following the pattern of SCC. Minor increases of the milk parameters were also seen in the neighboring (healthy) quarters. Distinction between inflamed and healthy quarters was possible for all the parameters, but only for a limited time frame for AP and AcP. Hence, when tested in an LPS mastitis model, the enzymes LDH, NAGase and AP in several aspects performed equally with SCC and APP as inflammatory milk indicators of mastitis. Furthermore, these enzymes appear potent in the assessment of a valuable time sequence of inflammation, a necessary ingredient in modeling of programs in in-line surveillance systems.     

Multiplex PCR assay for species identification of bovine mastitis pathogens

Aim: To develop and evaluate a multiplex PCR (mPCR) assay for simultaneous detection of 10 bacterial species causing bovine mastitis namely, Staphylococcus aureus, Staphylococcus chromogenes, Staphylococcus epidermidis, Staphylococcus sciuri, Staphylococcus haemolyticus, Staphylococcus simulans, Streptococcus agalactiae, Streptococcus dysgalactiae, Streptococcus uberis and Escherichia coli in milk. Methods and Results: A two‐tube mPCR assay was developed. The accuracy of the mPCR was evaluated using 56 standard reference strains and 705 strains comprising of E. coli (n = 99), staphylococci (n = 522) and streptococci (n = 84). The threshold of detection of the mPCR assay was 10 fg of genomic DNA and <10³ CFU ml^?1. A comparative evaluation of mPCR with culture method using 115 milk samples from subclinical mastitis showed mPCR to be more efficacious. Subsequently, the mPCR showed successful detection of target bacteria, when applied directly for the assessment of 36 bulk milk samples. Conclusion: The developed mPCR assay was found to be simple, rapid, reliable and specific in species identification of 10 bacteria at a time. Significance and Impact of the Study: The assay will be useful for the detection of mastitis, testing bacteriological safety of milk and for species level differentiation. The assay will be of value in the dairy sector for diagnosis and research. The early and accurate identification of pathogens will enable timely interventions for the treatment and control of bovine mastitis.     

Bacterial Analysis of Breast Milk: A Tool to Differentiate Raynaud’s Phenomenon from Infectious Mastitis During Lactation

Lactational Raynaud’s syndrome may be misdiagnosed as infectious mastitis on the basis of the breast pain. The objective of this work was to elucidate if microbiological analysis of milk may contribute to the differentiation of both conditions. Ten lactating women clinically diagnosed by Spanish lactation consultants were included in the study. Of these, five suffered from mastitis and the remaining five suffered from Raynaud’s syndrome. Breast milk samples were inoculated on diverse culture media. Seventy isolates were selected and identified by 16S rDNA PCR sequencing. Parallel, PCR-DGGE and quantitative real-time PCR were used to assess the presence of bacterial DNA in the samples. Neither bacteria nor yeasts could be detected in the milk samples provided by the women suffering from Raynaud’s syndrome. In contrast, large numbers of bacteria were isolated from those with infectious lactational mastitis. Globally, the levels of bacterial DNA were significantly higher in the milk of mastitis-suffering women. Bacteriological analysis of milk can be an useful tool to facilitate the differential diagnosis between the infectious mastitis and Raynaud’s syndrome during lactation.     

Variations During Lactation in Total and Differential Leukocyte Counts,N-acetyl-ß-D-glucosaminidase,Antitrypsin and Serum Albumin in Foremilk and Residual Milk from Non-infected Quarters in the Bovine

Quarter samples of foremilk and residual milk were taken approximately every second week from 2 days post partum (pp) throughout lactation month 9, from 5 dairy cows in their second lactation period. Bacteriologically positive milk samples were excluded. The aim was to study the variation in total and differential leukocyte counts, N-acetyl-ß-D-glucosaminidase (NAGase), antitrypsin (ATR) and serum albumin (BSA) in milk during the lactation period and different stages of oestrous cycle. Also the between milkings variation was studied from lactation month 4 to 9. At 2 days pp, each fraction of milk contained significantly higher numbers of leukocytes and had a higher activity of NAGase and ATR than later in the lactation period. In foremilk the highest content of BSA was also recorded at 2 days pp. From lactation month 2 to 9, stage of lactation had, in general, a slight effect on the variation in the variables measured. The total leukocyte count in residual milk tended to increase as lactation proceeded. The proportion of monocyte-macrophages in foremilk was significantly decreased during the last 4 months. NAGase and BSA in both fractions and ATR in residual milk increased significantly towards the end of the lactation period. From lactation month 4 to 9 the highest recorded ranges of variation between milkings, within quarter and stage of lactation, in the total leukocyte count, proportions of neutrophils, lymphocytes, monocyte-macrophages, NAGase, ATR and BSA in foremilk were 215 × 103ml, 42 %, 34 %, 54 %, 6.68 units, 0.36 units and 0.14 mg/ml respectively. The corresponding figures in residual milk were higher except for the variation in BSA which was slightly lower in residual milk than in foremilk. In residual milk there was a positive correlation between the proportion of neutrophils and the total leukocyte count, when calculated on data from all cows and the entire experimental period. During the oestrous periods, the proportion of neutrophils in residual milk was higher than during the dioestrous periods. Foremilk and residual milk differed in the total as well as the differential leukocyte counts in all the various stages of lactation, whereas the contents of NAGase, ATR and BSA were equal in both fractions. The exception was 2 days pp when the proportions of lymphocytes were equal in both fractions and BSA-significantly higher in foremilk than in residual milk.     

Detection of sulfa drugs and antibiotics in milk

A disc assay method for testing sulfa drugs and antibiotics in milk was developed wherein Bacillus megaterium ATCC 9855 was used as the test organism and Mueller-Hinton agar was used as the test substrate. Incubation was at 37 C for 4 to 5 hr. The test procedure is an improvement over the Bacillus subtilis-Antibiotic Medium No. 1 method, as described in Standard Methods for the Examination of Dairy Products, in that it is sensitive to eight sulfa drugs and to bacitracin without a significant change in sensitivity to eight other antibiotics commonly used for mastitis therapy.     

Evaluation of a novel chemical sensor system to detect clinical mastitis in bovine milk

Automatic detection of clinical mastitis is an essential part of high performance and robotic milking. Currently available technology (conductivity monitoring) is unable to achieve acceptable specificity or sensitivity of detection of clinical mastitis or other clinical diseases. Arrays of sensors with high cross-sensitivity have been successfully applied for recognition and quantitative analysis of other multicomponent liquids. An experiment was conducted to determine whether a multisensor system ("electronic tongue") based on an array of chemical sensors and suitable data processing could be used to discriminate between milk secretions from infected and healthy glands. Measurements were made with a multisensor system of milk samples from two different farms in two experiments. A total of 67 samples of milk from both mastitic and healthy glands were in two sets. It was demonstrated that the multisensor system could distinguish between control and clinically mastitic milk samples (p=0.05). The sensitivity and specificity of the sensor system (93 and 96% correspondingly) showed an improvement over conductivity (56 and 82% correspondingly). The multisensor system offers a novel method of improving mastitis detection.     

The Electrical Conductivity of Bovine Milk in Mastitis Diagnosis

The electrical conductivity (EC) of milk is mainly a function of the electrolyte concentration in the milk and therefore raised in mastitis. The present investigation was aimed at elaborating, if possible, a diagnostic model for screening purposes based on EC determinations and consistent with the diagnostic procedures and interpretations commonly used in laboratory milk diagnosis in the Nordic countries (Klastrup 1975). According to this diagnosis (here called reference diagnosis) cell numbers above 300,000/ml (cell count or the corresponding CMT-score) in foremilk quarter samples during the main part of the lactation period and significantly above the lowest value on within-udder comparison during late lactation are considered indicative of mastitis and bacteriological examinations are made when called for.     

A novel DNA extraction and duplex polymerase chain reaction assay for the rapid detection of Prototheca zopfii genotype 2 in milk

Aims: To develop a PCR‐based assay to detect Prototheca zopfii (P. zopfii) and its mastitis‐related subtype (genotype 2) directly from milk samples. Methods and Results: The DNA extraction method herein is based on the lysing properties of chemical agents, mechanical grinding and DNA‐binding properties of silica particles; this method was developed to rapidly extract DNA directly from P. zopfii in bovine milk. Two pairs of primers specific for P. zopfii and genotype 2 were used in the duplex PCR, and a sensitivity test showed that the detection level was 5 × 10² colony‐forming units (CFU) ml^?1 for P. zopfii and 5 × 10³ CFU ml^?1 for genotype 2. Furthermore, a practical survey of 23 milk samples showed that the assay produced results that were in accordance with those obtained by the conventional microbiology method. Conclusions: The DNA extraction method is effective in isolating sufficient quantities of DNA from P. zopfii in milk for PCR analysis. The PCR assay is economical, sensitive and more rapid than the conventional culture method. Significance and Impact of the Study: The assay could be used as an alternative method for the rapid the detection of bovine mastitis resulting from P. zopfii genotype 2.     

Isolation,Biochemical and Molecular Identification,and In-Vitro Antimicrobial Resistance Patterns of Bacteria Isolated from Bubaline Subclinical Mastitis in South India

Buffaloes are the second largest source of milk. Mastitis is a major impediment for milk production, but not much information is available about bubaline mastitis, especially subclinical mastitis. The aim of this study was to (a) investigate the application of various tests for the diagnosis of bubaline subclinical mastitis, (b) identify the major bacteria associated with it, and (c) evaluate the antibiotic resistance pattern of the bacteria. To this end, 190 quarter milk samples were collected from 57 domesticated dairy buffaloes from organized (64 samples) and unorganized (126 samples) sectors. Of these, 48.4%, 40.0%, 45.8%, 61.1%, and 61.6% were positive for subclinical mastitis by somatic cell count, electrical conductivity, California mastitis test, bromothymol blue test, and N-acetyl glucosaminidase test, respectively. As compared to the gold standard of somatic cell count, California mastitis test performed the best. However, a combination of the two methods was found to be the best option. Microbiological evaluation, both by biochemical methods as well as by monoplex and multiplex polymerase chain reaction, revealed that coagulase-negative staphylococci were the most predominant (64.8%) bacteria, followed by streptococci (18.1%), Escherichia coli (9.8%) and Staphylococcus aureus (7.3%). Most of the pathogens were resistant to multiple antibiotics, especially to β-lactam antibiotics. We propose that California mastitis test be combined with somatic cell count for diagnosis of subclinical mastitis in domestic dairy buffaloes. Further, our results reveal high resistance of the associated bacteria to the β-lactam class of antibiotics, and a possible major role of coagulase-negative staphylococci in causing the disease in India.     

Nonculture-based identification of bacteria in milk by protein fingerprinting

Traditional methods for bacterial identification include Gram staining, culturing, and biochemical assays for phenotypic characterization of the causative organism. These methods can be time-consuming because they require in vitro cultivation of the microorganisms. Recently, however, it has become possible to obtain chemical profiles for lipids, peptides, and proteins that are present in an intact organism, particularly now that new developments have been made for the efficient ionization of biomolecules. MS has therefore become the state-of-the-art technology for microorganism identification in microbiological clinical diagnosis. Here, we introduce an innovative sample preparation method for nonculture-based identification of bacteria in milk. The technique detects characteristic profiles of intact proteins (mostly ribosomal) with the recently introduced MALDI Sepsityper(TM) Kit followed by MALDI-MS. In combination with a dedicated bioinformatics software tool for databank matching, the method allows for almost real-time and reliable genus and species identification. We demonstrate the sensitivity of this protocol by experimentally contaminating pasteurized and homogenized whole milk samples with bacterial loads of 10(3) -10(8) colony-forming units (cfu) of laboratory strains of Escherichia coli, Enterococcus faecalis, and Staphylococcus aureus. For milk samples contaminated with a lower bacterial load (10(4) cfu mL(-1) ), bacterial identification could be performed after initial incubation at 37°C for 4 h. The sensitivity of the method may be influenced by the bacterial species and count, and therefore, it must be optimized for the specific application. The proposed use of protein markers for nonculture-based bacterial identification allows for high-throughput detection of pathogens present in milk samples. This method could therefore be useful in the veterinary practice and in the dairy industry, such as for the diagnosis of subclinical mastitis and for the sanitary monitoring of raw and processed milk products.     

Development and validation of a loop-mediated isothermal amplification assay for the detection of <Emphasis Type="Italic">Mycoplasma bovis</Emphasis> in mastitic milk

Mycoplasma mastitis is often difficult to control due to a lack of rapid and accurate diagnostic tools. The aim of the current study was to develop a loop-mediated isothermal amplification (LAMP) assay for the detection of Mycoplasma bovis (M. bovis) in mastitic milk. The assay was developed using primers designed for three different target genes: uvrC, 16S rRNA, and gyrB, and validated using mastitic milk samples previously found positive for the target pathogen. Specificity of the developed assay was determined by testing cross-reactivity of LAMP primers against closely related bovine mastitis bacterial pathogens. The sensitivity was found to be higher compared to conventional polymerase chain reaction (PCR). The LAMP assay was also capable of detecting M. bovis in PCR-negative milk samples of cows with clinical mastitis. The uvrC primers were found to be more sensitive, while gyrB primers were more specific; however, 16S rRNA primers were less specific and sensitive compared to either uvrC or gyrB primers. Cohen’s kappa values for uvrC, gyrB, and 16S rRNA primers used in the LAMP assays were 0.940, 0.970, and 0.807, respectively. There was a high level of agreement between the test results and the true-disease status as indicated by the receiver operating characteristic (ROC) curve. Our findings suggest that the newly developed LAMP assays targeting the uvrC and gyrB genes could be a useful tool for rapid and accurate diagnosis of mastitis caused by M. bovis.     

Mid-infrared prediction of lactoferrin content in bovine milk: potential indicator of mastitis

Lactoferrin (LTF) is a milk glycoprotein favorably associated with the immune system of dairy cows. Somatic cell count is often used as an indicator of mastitis in dairy cows, but knowledge on the milk LTF content could aid in mastitis detection. An inexpensive, rapid and robust method to predict milk LTF is required. The aim of this study was to develop an equation to quantify the LTF content in bovine milk using mid-infrared (MIR) spectrometry. LTF was quantified by enzyme-linked immunosorbent assay (ELISA), and all milk samples were analyzed by MIR. After discarding samples with a coefficient of variation between 2 ELISA measurements of more than 5% and the spectral outliers, the calibration set consisted of 2499 samples from Belgium (n = 110), Ireland (n = 1658) and Scotland (n = 731). Six statistical methods were evaluated to develop the LTF equation. The best method yielded a cross-validation coefficient of determination for LTF of 0.71 and a cross-validation standard error of 50.55 mg/l of milk. An external validation was undertaken using an additional dataset containing 274 Walloon samples. The validation coefficient of determination was 0.60. To assess the usefulness of the MIR predicted LTF, four logistic regressions using somatic cell score (SCS) and MIR LTF were developed to predict the presence of mastitis. The dataset used to build the logistic regressions consisted of 275 mastitis records and 13 507 MIR data collected in 18 Walloon herds. The LTF and the interaction SCS × LTF effects were significant (P < 0.001 and P = 0.02, respectively). When only the predicted LTF was included in the model, the prediction of the presence of mastitis was not accurate despite a moderate correlation between SCS and LTF (r = 0.54). The specificity and the sensitivity of models were assessed using Walloon data (i.e. internal validation) and data collected from a research herd at the University of Wisconsin – Madison (i.e. 5886 Wisconsin MIR records related to 93 mastistis events – external validation). Model specificity was better when LTF was included in the regression along with SCS when compared with SCS alone. Correct classification of non-mastitis records was 95.44% and 92.05% from Wisconsin and Walloon data, respectively. The same conclusion was formulated from the Hosmer and Lemeshow test. In conclusion, this study confirms the possibility to quantify an LTF indicator from milk MIR spectra. It suggests the usefulness of this indicator associated to SCS to detect the presence of mastitis. Moreover, the knowledge of milk LTF could also improve the milk nutritional quality.     

A solid-phase radioimmunoassay for progesterone and its application to pregnancy diagnosis in the cow

A solid-phase radioimmunoassay using antibody-coated tubes and ¹²⁵I-progesterone label was developed to provide an alternative to the conventional aqueous method of assaying progesterone in milk for early pregnancy diagnosis. The accuracy of diagnoses made using the solid-phase assay of progesterone in milk was assessed by comparison with diagnoses made using an aqueous assay of serum progesterone. Both methods agreed in the thirteen cows that were diagnosed. When “fat-free” milk was assayed by both aqueous (x) and solid-phase (y) methods, the progesterone values which resulted showed a high correlation (r = .94) and a linear relationship of y = 1.67x ? 0.68. Milk samples, in which the fat concentration ranged from 0.20 to 4.04%, were assayed by the solid-phase method and no relationship between milk fat and progesterone concentration was observed. Pregnancy diagnosis from solid-phase assay of milk samples collected on the day of breeding, 21 and 23 days following breeding was performed on 62 Holstein cattle. The accuracy of “non-pregnant” diagnoses was 95% to 100% and the accuracy of “pregnant” diagnoses was 80% if breeding day values were used and 72% if these values were excluded.The accuracy of this assay in diagnosing pregnancy was equal to that of previously published assays and provided the advantages of requiring less technical time and equipment. In addition, foremilk, composite or stripping samples can be accomodated in this assay since the estimates of progesterone are not affected by the concentration of milk fat.     

Measures taken by Veterinarians in Sweden in Cases of Bovine Mastitis

A questionnaire concerning the diagnosis and treatment of bovine mastitis was sent to all 350 Swedish food animal practitioners. 287 (82%) of the questionnaires were returned. One of the main aims was to establish if Swedish food animal practitioners used a common therapeutic regime that could be used as a control treatment in future clinical trials. It was found that many factors of importance for the clinical diagnosis of mastitis such as body temperature, duration of the symptoms etc. often were not considered. On the other hand 60–70% of the practitioners regularly took milk samples to obtain a bacteriological diagnosis. Approximately 40% of the veterinarians cultured the milk samples in their home laboratory. Basic measures like frequent emptying of the udder were recommended by only 40–50% of the veterinarians. All responding field veterinarians used the systemic route for administering antibiotics when treating cases of acute, clinical bovine mastitis. The drug of choice, initially, in these cases was benzylpenicillinprocain, which was used by 65–75% of the veterinarians. Twentyfive percent used a broadspectrum antibiotic, most commonly a combination of penicillin and streptomycin. A minority (5%) directed their initial therapy towards gramnegative bacteria. About 30–40% supported the systemic therapy with intra-mammaries. Other drugs such as NSAID, corticosteroids and oxytocin was used, on a regular basis, by only about 10% of the practitioners.     

Economic consequences of mastitis and withdrawal of milk with high somatic cell count in Swedish dairy herds

The main aim was to assess the impact of mastitis on technical and economic results of a dairy herd under current Swedish farming conditions. The second aim was to investigate the effects obtained by withdrawing milk with high somatic cell count (SCC). A dynamic and stochastic simulation model, SimHerd, was used to study the effects of mastitis in a herd with 150 cows. Results given the initial incidence of mastitis (32 and 33 clinical and subclinical cases per 100 cow-years, respectively) were studied, together with the consequences of reducing or increasing the incidence of mastitis by 50%, modelling no clinical mastitis (CM) while keeping the incidence of subclinical mastitis (SCM) constant and vice versa. Six different strategies to withdraw milk with high SCC were compared. The decision to withdraw milk was based on herd-level information in three scenarios: withdrawal was initiated when the predicted bulk tank SCC exceeded 220 000, 200 000 or 180 000 cells/ml, and on cow-level information in three scenarios: withdrawal was initiated when the predicted SCC in an individual cow's milk exceeded 1 000 000, 750 000 or 500 000 cells/ml. The accuracy with which SCC was measured and predicted was assumed to affect the profitability of withdrawing milk with high SCC and this was investigated by applying high, low or no uncertainty to true SCC. The yearly avoidable cost of mastitis was estimated at €8235, assuming that the initial incidence of mastitis could be reduced by 50%. This cost corresponded to 5% of the herd net return given the initial incidence of mastitis. Expressed per cow-year, the avoidable cost of mastitis was €55. The costs per case of CM and SCM were estimated at €278 and €60, respectively. Withdrawing milk with high SCC was never profitable because this generated a substantial amount of milk withdrawal that was not offset by a sufficient increase in the average price per delivered kg milk. It had the most negative impact on net return when high incidence of mastitis was simulated. Withdrawing milk with high SCC based on low-uncertainty information reduced the amount of withdrawn milk and thus resulted in less negative effect on net return. It was concluded that the current milk-pricing system makes it more profitable for farmers to sell a larger amount of milk with higher SCC than to withdraw milk with high SCC to obtain payment premiums, at least in herds with mastitis incidences within the simulated ranges.     

Simple and direct detection of Staphylococcus aureus in milk by a tube coagulase test

A tube coagulase test (TCT) is described as a simple and non-expensive system for detection of Staphylococcus aureus directly in milk. The procedure is characterized by mixing milk samples with rabbit citrate plasma followed by incubation at 37 °C for clot formation. The tube coagulase test demonstrated 91·5% accuracy, 88·5% sensitivity and 100% specificity for the direct recognition of Staph. aureus in milk samples from quarters with subclinical mastitis, when compared with plating of milk on blood agar. The TCT has the potential to detect other coagulase positive staphylococci in milk. It is concluded that TCT may be of use to veterinary practitioners with limited laboratory facilities, or to dairy farmers as a simple diagnostic test on site.     

Quantitative milk proteomics – Host responses to lipopolysaccharide‐mediated inflammation of bovine mammary gland

Intramammary infusion of lipopolysaccharide (LPS) in cows induces udder inflammation that partly simulates mastitis caused by infection with Gram‐negative bacteria. We have used this animal model to characterize the quantitiative response in the milk proteome during the time course before and immediately after the LPS challenge. Milk samples from three healthy cows collected 3 h before the LPS challenge were compared with milk samples collected 4 and 7 h after the LPS challenge, making it possible to describe the inflammatory response of individual cows. Quantitative protein profiles were obtained for 80 milk proteins, of which 49 profiles changed significantly for the three cows during LPS challenge. New information obtained in this study includes the quantified increase of apolipoproteins and other anti‐inflammatory proteins in milk, which are important for the cow's ability to balance the immune response, and the upregulation of both complement C3 and C4 indicates that more than one complement pathway could be activated during LPS‐induced mastitis. In the future, this analytical approach may provide valuable information about the differences in the ability of individual cows to resist and recover from mastitis.     

Nevirapine,Sodium Concentration and HIV-1 RNA in Breast Milk and Plasma among HIV-Infected Women Receiving Short-Course Antiretroviral Prophylaxis

Introduction

Risk factors for breast milk transmission of HIV-1 from mother to child include high plasma and breast milk viral load, low maternal CD4 count and breast pathology such as mastitis.

Objective

To determine the impact of nevirapine and subclinical mastitis on HIV-1 RNA in maternal plasma and breast milk after intrapartum single-dose nevirapine combined with either 1-week tail of Combivir (zidovudine/lamivudine) or single-dose Truvada (tenofovir/emtricitabine).

Methods

Maternal plasma and bilateral breast milk samples were collected between April 2008 and April 2011 at 1, 4 and 6 weeks postpartum from HIV-infected Tanzanian women. Moreover, plasma samples were collected at delivery from mother and infant.

Results

HIV-1 RNA was quantified in 1,212 breast milk samples from 273 women. At delivery, 96% of the women and 99% of the infants had detectable nevirapine in plasma with a median (interquartile range, IQR) of 1.5 μg/mL (0.75–2.20 μg/mL) and 1.04 μg/mL (0.39–1.71 μg/mL), respectively (P < 0.001). At 1 week postpartum, 93% and 98% of the women had detectable nevirapine in plasma and breast milk, with a median (IQR) of 0.13 μg/mL (0.13–0.39 μg/mL) and 0.22 μg/mL (0.13–0.34 μg/mL), respectively. Maternal plasma and breast milk HIV-1 RNA correlated at all visits (R = 0.48, R = 0.7, R = 0.59; all P = 0.01). Subclinical mastitis was detected in 67% of the women at some time during 6 weeks, and in 38% of the breast milk samples. Breast milk samples with subclinical mastitis had significantly higher HIV-1 RNA at 1, 4 and 6 weeks (all P < 0.05).

Conclusion

After short-course antiretroviral prophylaxis, nevirapine was detectable in most infant cord blood samples and the concentration in maternal plasma and breast milk was high through week 1 accompanied by suppressed HIV-1 RNA in plasma and breast milk.