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Research Short Communication| Volume 100, ISSUE 12, P9775-9780, December 2017

Short communication: Association between udder health status and blood serum proteins in dairy cows

Open ArchivePublished:October 12, 2017DOI:https://doi.org/10.3168/jds.2017-13111

      ABSTRACT

      The aim of this study was to investigate the association between udder health (UH) status and blood serum proteins (i.e., total protein, albumin, globulin, and albumin-to-globulin ratio) in dairy cows. Blood and milk samples were collected from 1,508 cows of 6 different breeds (Holstein Friesian, Brown Swiss, Jersey, Simmental, Rendena, and Alpine Grey) that were housed in 41 multibreed herds. Bacteriological analysis was performed on milk samples with somatic cell count (SCC) >100,000 cells/mL and bacteria identification was confirmed by multiplex-PCR assays. Milk samples were grouped into 7 clusters of UH status: healthy (cows with milk SCC <100,000 cells/mL and not cultured); culture-negative samples with low, medium, or high SCC; and culture-positive samples with contagious, environmental, and opportunistic intramammary infections. Data of blood serum proteins were analyzed using a linear mixed model that included the fixed effects of stage of lactation, parity, breed, herd productivity (high or low production) and UH status, and the random effect of herd-date within herd productivity. Culture-negative samples with high milk SCC, which were most likely undergoing a strong inflammatory response and whose pathogens could not be isolated because they were engulfed by macrophages or because they had already cleared, and milk samples infected by contagious and environmental bacteria were associated with greater globulin concentrations (and lower albumin-to-globulin ratio) in blood. Variation in blood serum proteins seems to be associated with inflammatory status rather than infection, as serum globulin significantly increased in UH status groups with the highest milk SCC and no differences were observed among intramammary infections pathogens. Blood serum proteins can be a mammary gland inflammation indicator, but cannot be used to differentiate among different UH status groups.

      Key words

      Short Communication

      Udder health (UH) represents a critical issue for milk production, and monitoring the health status of the animals is of great importance for dairy farm economics. Bovine mastitis, an inflammatory status of the mammary gland in response to an infection, is the most prevalent production disease and strongly affects dairy herd income by decreasing milk yield and quality, cow welfare, fertility, and longevity (
      • Seegers H.
      • Fourichon C.
      • Beaudeau F.
      Production effects related to mastitis and mastitis economics in dairy cattle herds.
      ). Thus, a successful immune response of the animal to infection can improve milk production and reduce the treatment costs.
      Blood serum proteins have been used as possible markers for assessing the immune status in dairy cows (
      • Piccinini R.
      • Binda E.
      • Belotti M.
      • Casirani G.
      • Zecconi A.
      The evaluation of non-specific immune status of heifers in field conditions during the periparturient period.
      ). In a previous study (
      • Bobbo T.
      • Fiore E.
      • Gianesella M.
      • Morgante M.
      • Gallo L.
      • Ruegg P.L.
      • Bittante G.
      • Cecchinato A.
      Variation in blood serum proteins and association with somatic cell count in dairy cattle housed in multi-breed herds.
      ), we characterized the variation in blood serum proteins [i.e., total protein, albumin, globulin and albumin-to-globulin ratio (A:G)] in dairy cattle housed in multibreed herds and concluded that environmental factors (e.g., herd productivity), breed, and individual cow factors (stage of lactation and parity) must be considered to appropriately interpret blood serum proteins as cow health indicators. After adjusting for those factors, a linear relationship between blood serum proteins and milk SCS was identified. Cows with high SCC in milk had greater total protein and globulin concentrations in blood serum, an expected result given that α- and γ-globulins are involved in the immune response of the mammary gland.
      Besides the increased milk SCC related to the inflammatory status of the mammary gland, specific IMI pathogens can elicit differential immune responses (
      • Bannerman D.D.
      • Paape M.J.
      • Lee J.W.
      • Zhao X.
      • Hope J.C.
      • Rainard P.
      Escherichia coli and Staphylococcus aureus elicit differential innate immune responses following intramammary infection.
      ) and differences in SCC variation (
      • de Haas Y.
      • Barkema H.W.
      • Veerkamp R.F.
      The effect of pathogen-specific clinical mastitis on the lactation curve for somatic cell count.
      ). To our knowledge, variation in blood serum proteins among various UH status groups has not been investigated yet. Therefore, the objective of the present study was to assess the association between UH status and blood serum proteins in dairy cows. Rather than simply focus on microbiologically positive infections, we evaluated both the IMI and the resulting inflammatory response.
      This study is part of the Cowplus Project, described in detail in
      • Bobbo T.
      • Fiore E.
      • Gianesella M.
      • Morgante M.
      • Gallo L.
      • Ruegg P.L.
      • Bittante G.
      • Cecchinato A.
      Variation in blood serum proteins and association with somatic cell count in dairy cattle housed in multi-breed herds.
      ,
      • Bobbo T.
      • Ruegg P.L.
      • Fiore E.
      • Gianesella M.
      • Morgante M.
      • Pasotto D.
      • Bittante G.
      • Cecchinato A.
      Association between pathogen-specific cases of subclinical mastitis and milk yield, quality, protein composition and cheese-making traits in dairy cows.
      ). Briefly, blood and milk samples were collected from 1,508 cows belonging to 3 specialized dairy breeds (Holstein Friesian, Brown Swiss, and Jersey) and 3 dual-purpose breeds of Alpine origin (Simmental, Rendena, and Alpine Grey), that were housed in 41 multibreed herds of Trentino region (northeast Italy). In a calendar year, 1 herd per day was visited once and only clinically healthy cows at the moment of the visit were sampled during an evening milking. Details on procedures used to collect and analyze blood samples for serum proteins determination can be found in
      • Bobbo T.
      • Fiore E.
      • Gianesella M.
      • Morgante M.
      • Gallo L.
      • Ruegg P.L.
      • Bittante G.
      • Cecchinato A.
      Variation in blood serum proteins and association with somatic cell count in dairy cattle housed in multi-breed herds.
      . From each selected cow, a composite milk sample (40 mL) for bacteriological analyses and a second sample (50 mL) for SCC determination were collected. Details on milk samples collection, storage, and analyses were reported in
      • Bobbo T.
      • Ruegg P.L.
      • Fiore E.
      • Gianesella M.
      • Morgante M.
      • Pasotto D.
      • Bittante G.
      • Cecchinato A.
      Association between pathogen-specific cases of subclinical mastitis and milk yield, quality, protein composition and cheese-making traits in dairy cows.
      . Cows with milk SCC <100,000 cells/mL were considered potentially healthy and were not subjected to microbiological examination. Bacteriological analysis was performed on milk samples with SCC >100,000 cells/mL according to the guidelines of National Mastitis Council (
      • National Mastitis Council (NMC)
      Laboratory Handbook on Bovine Mastitis. rev.
      ). Briefly, each sample was plated twice by streaking 0.01 mL of milk onto Columbia Blood Agar containing 5% defibrinated sheep blood (Oxoid Ltd., Basingstoke, UK), incubated aerobically at 37 ± 1°C, and examined after 24 and 48 h. Grown colonies were characterized mainly according to their morphology, hemolytic features, Gram staining, catalase, oxidase, coagulase reactions, and biochemical properties (
      • National Mastitis Council (NMC)
      Laboratory Handbook on Bovine Mastitis. rev.
      ). Gram-positive microorganisms were differentiated as staphylococci and streptococci by the catalase reaction. The coagulase tube test in rabbit plasma (bioMérieux Italia S.p.A., Grassina, Italy), was used to differentiate coagulase- positive from coagulase-negative Staphylococcus spp.
      The Christie, Atkins, Munch-Petersen (CAMP) test was used for the presumptive identification of Streptococcus agalactiae. Enterococcus spp. was confirmed plating suspected colonies onto Bile Esculin Agar (Oxoid Ltd.). Lactococcus lactis and Aerococcus viridans were identified by using API system (bioMérieux Italia S.p.A.). Gram-negative bacteria were identified by their morphological features on MacConkey agar, eosin methylene blue agar, Kligler iron agar, urea agar, and SIM agar (Oxoid Ltd.). Bacterial genus confirmation and species identification of Staphylococcus, Streptococcus, and Escherichia coli strains was confirmed by multiplex-PCR assays, as previously described by
      • Shome B.R.
      • Das Mitra S.
      • Bhuvana M.
      • Krithiga N.
      • Velu D.
      • Shome R.
      • Isloor S.
      • Barbuddhe S.B.
      • Rahman H.
      Multiplex PCR assay for species identification of bovine mastitis pathogens.
      with minor changes related to Taq DNA polymerase (KAPA2G FastMultiplex PCR Kit, Kapa Biosystems, Wilmington, MA) and cycling protocol.
      Contaminated plates presented 3 or more different colony types, with no prevalence of a single colony type (
      • National Mastitis Council (NMC)
      Laboratory Handbook on Bovine Mastitis. rev.
      ). Samples were classified as culture-negative when no bacteria were isolated or no significant growth (<1,000 cfu/mL) was observed within 48 h of incubation, with the exception of potential contagious IMI cases, for which identification was performed even when 1 colony (≥100 cfu/mL) was isolated.
      As reported in
      • Stocco G.
      • Cipolat-Gotet C.
      • Bobbo T.
      • Cecchinato A.
      • Bittante G.
      Breed of cow and herd productivity affect milk composition and modeling of coagulation, curd firming and syneresis.
      , farms were classified as high or low production. Briefly, the net energy content of milk (kcal/kg) yielded the day of sampling by each cow was estimated, converted to kilojoules per kilogram and multiplied by the individual daily milk production (kg/d) to obtain the individual daily milk energy production of each cow (kJ/d). Data were then analyzed using the GLM procedure of SAS (SAS Institute Inc., Cary, NC), including herd, breed, parity, and DIM of cows, to estimate the least squares means (LSM) of the average daily milk energy production of each herd. The 41 farms were ranked according to the estimated LSM of their average daily milk energy yield, and were classified as low- (n = 21) or high-producing (n = 20) based on the median value of their LSM.
      Seven clusters of UH status were identified (
      • Bobbo T.
      • Ruegg P.L.
      • Fiore E.
      • Gianesella M.
      • Morgante M.
      • Pasotto D.
      • Bittante G.
      • Cecchinato A.
      Association between pathogen-specific cases of subclinical mastitis and milk yield, quality, protein composition and cheese-making traits in dairy cows.
      ): healthy (cows with milk SCC <100,000 cells/mL and not tested for the presence of bacteria); culture-negative samples with low (No Growth_L), medium (No Growth_M), and high (No Growth_H) SCC (divided on the basis of the SCS 25th and 75th percentiles); and culture-positive samples with contagious, environmental, and opportunistic IMI.
      Data of blood serum proteins were analyzed using the MIXED procedure of SAS with the linear mixed model applied also in
      • Bobbo T.
      • Ruegg P.L.
      • Fiore E.
      • Gianesella M.
      • Morgante M.
      • Pasotto D.
      • Bittante G.
      • Cecchinato A.
      Association between pathogen-specific cases of subclinical mastitis and milk yield, quality, protein composition and cheese-making traits in dairy cows.
      :
      yijklmno=μ+DIMi+Parityj+Breedk+UHstatusl+HPm+HTDn(HP)m+eijklmno,


      where yijklmno is the investigated trait (blood serum proteins); μ is the overall mean; DIMi is the fixed effect of the ith class of DIM (i = 6 classes of 60-d intervals); Parityj is the fixed effect of the jth parity (j = 1 to ≥4); Breedk is the fixed effect of the kth breed (k = Holstein Friesian, Brown Swiss, Jersey, Simmental, Rendena, and Alpine Grey); UH statusl is the fixed effect of the lth group of infection status (l = healthy, No Growth_L, No Growth_M, No Growth_H, contagious, environmental, opportunistic); HPm is the fixed effect of the mth herd productivity [m = high or low production]; HTDn(HP)m is the random effect of the nth herd-date (n = 41 levels) within the mth herd productivity; and eijklmno is the random residual. A normal distribution was assumed for herd-date and residuals, with a mean of zero and a variance of σh2 and σe2 respectively. Proportion of variance explained by herd-date was determined by dividing the corresponding variance component by the total variance. Pairwise comparisons between UH status groups were performed using the Tukey correction (P < 0.05).
      Results of the bacteriological analysis were reported in Table 1. Healthy animals represented about 58% of the samples and had a mean milk SCS of 1.48. Due to the low frequency of recovery of some pathogens, we classified them as contagious, environmental, and opportunistic, a classification commonly used based on reservoir and mode of transmission. Contagious IMI (mean milk SCS = 4.81), identified if at least 1 colony (≥100 cfu/mL) of Staphylococcus aureus or Strep. agalactiae was isolated, were the most frequent, corresponding to about 27% of the cultured samples. Environmental and opportunistic pathogens were considered to cause an IMI if at least 10 grown colonies/type (1,000 cfu/mL) were isolated in the plate. Environmental IMI (16%, mean milk SCS = 4.70) were caused by Enterococcus spp., Streptococcus dysgalactiae, Streptococcus uberis, Proteus spp., A. viridans, E. coli, Klebsiella spp., Bacillus spp., Enterobacter spp., L. lactis, and other streptococci. Opportunistic IMI (9%, mean milk SCS = 4.60) were related to the presence of CNS in milk. Sixty-one samples were contaminated and thus excluded from the analysis, whereas 245 were culture-negative (no growth), even if the mean milk SCS was relatively high (4.38). Three hypotheses were considered to explain the high SCC in samples with no bacterial growth, namely (1) healing process and spontaneous elimination of the infection at the moment of the sampling, (2) high level of inflammation and internalization of the pathogens by phagocytes, and (3) presence of false-negative results due to a dilution effect of composite samples. Culture-negative samples were thus divided into 3 subgroups on the basis of SCS 25th and 75th percentiles as culture-negative samples with low SCS (No Growth_L; 61 samples with mean SCS = 3.21), medium SCS (No Growth_M; 122 samples with mean SCS = 4.07), and high SCS (No Growth_H; 62 samples with mean SCS = 6.13).
      Table 1Results of the bacteriological analysis of 639 composite milk samples with SCC >100,000 cells/mL
      Adapted from Bobbo et al. (2017b).
      Udder health status groupNo.%
      Contagious17226.9
       Staphylococcus aureus15123.6
       Streptococcus agalactiae111.7
       Staphylococcus aureus + Streptococcus dysgalactiae50.8
       Staphylococcus aureus + Streptococcus agalactiae20.3
       Staphylococcus aureus + Enterococcusspp.10.2
       Staphylococcus aureus + Streptococcus uberis10.2
       Staphylococcus aureus + other streptococci10.2
      Environmental10216.0
       Other streptococci264.1
       Enterococcusspp.213.3
       Streptococcus dysgalactiae162.5
       Streptococcus uberis142.2
       Proteusspp.91.4
       Aerococcus viridans50.8
       Escherichia coli50.8
       Klebsiellaspp.20.3
       Bacillusspp.10.2
       Enterobacterspp.10.2
       Lactococcus lactis10.2
       Aerococcus viridans + CNS10.2
      Opportunistic599.2
       CNS599.2
      No growth24538.3
      Contaminated619.5
      1 Adapted from
      • Bobbo T.
      • Ruegg P.L.
      • Fiore E.
      • Gianesella M.
      • Morgante M.
      • Pasotto D.
      • Bittante G.
      • Cecchinato A.
      Association between pathogen-specific cases of subclinical mastitis and milk yield, quality, protein composition and cheese-making traits in dairy cows.
      .
      Coefficient of variation of blood serum proteins ranged from 7 to 16% (Table 2). Serum total protein averaged 74.17 g/L, resulting from the sum of albumin and globulin (30.77 and 43.40 g/L, respectively). Albumin-to-globulin ratio had a mean value of 0.72.
      Table 2Descriptive statistics of serum proteins (n = 1,447)
      P1 = 1st percentile; P99 = 99th percentile.
      Serum proteinMeanCV, %P1P99
      Total protein, g/L74.177.561.2988.66
      Albumin, g/L30.776.924.8435.22
      Globulin, g/L43.4013.532.8361.03
      Albumin:globulin0.7215.90.430.99
      1 P1 = 1st percentile; P99 = 99th percentile.
      In accordance to our previous results (
      • Bobbo T.
      • Fiore E.
      • Gianesella M.
      • Morgante M.
      • Gallo L.
      • Ruegg P.L.
      • Bittante G.
      • Cecchinato A.
      Variation in blood serum proteins and association with somatic cell count in dairy cattle housed in multi-breed herds.
      ), the proportion of variance explained by herd-date was approximately 20% and all explanatory variables were important sources of variation of the blood serum proteins, with the exception of herd productivity, which was only associated with albumin concentration in blood (Table 3). In particular, the association previously observed between blood serum proteins and mammary gland inflammation, determined by the measure of SCC in milk, is now supported by the evidence of an association also with UH status (Table 3).
      Table 3Results of ANOVA (F-value and P-value) for serum proteins
      EffectTotal protein, g/LAlbumin, g/LGlobulin, g/LAlbumin:globulin
      FPFPFPFP
      Herd productivity2.40.13314.8<0.0010.00.9451.80.187
      HTD,
      HTD = herd-date effect expressed as proportion of variance explained by herd-test date calculated by dividing the corresponding variance component by the total variance.
      %
      22.022.520.321.4
      Breed7.2<0.0017.1<0.0018.9<0.00112.4<0.001
      DIM3.20.0077.6<0.0013.30.0064.7<0.001
      Parity28.7<0.0012.80.04023.2<0.00115.6<0.001
      UH status
      UH status = udder health status groups, defined according to Bobbo et al. (2017b): healthy (cows with milk SCC <100,000 cells/mL and not tested for the presence of bacteria), culture-negative samples divided into 3 classes on the basis of SCS 25th and 75th percentiles: with low (No Growth_L; 100–137 cells × 103/mL), medium (No Growth_M; 137–425 cells × 103/mL), and high (No Growth_H; >425 cells × 103/mL) SCC, culture-positive samples with contagious, environmental, and opportunistic IMI.
      6.9<0.0013.20.0048.4<0.0018.2<0.001
      RMSE
      RMSE = root mean squared error.
      4.751.805.110.10
      1 HTD = herd-date effect expressed as proportion of variance explained by herd-test date calculated by dividing the corresponding variance component by the total variance.
      2 UH status = udder health status groups, defined according to
      • Bobbo T.
      • Ruegg P.L.
      • Fiore E.
      • Gianesella M.
      • Morgante M.
      • Pasotto D.
      • Bittante G.
      • Cecchinato A.
      Association between pathogen-specific cases of subclinical mastitis and milk yield, quality, protein composition and cheese-making traits in dairy cows.
      : healthy (cows with milk SCC <100,000 cells/mL and not tested for the presence of bacteria), culture-negative samples divided into 3 classes on the basis of SCS 25th and 75th percentiles: with low (No Growth_L; 100–137 cells × 10
      RMSE = root mean squared error.
      /mL), medium (No Growth_M; 137–425 cells × 10
      RMSE = root mean squared error.
      /mL), and high (No Growth_H; >425 cells × 10
      RMSE = root mean squared error.
      /mL) SCC, culture-positive samples with contagious, environmental, and opportunistic IMI.
      3 RMSE = root mean squared error.
      Greater total protein concentrations were measured in blood of cows infected by contagious pathogens and in animals whose milk was characterized by medium to high SCC, but no bacteria were isolated (No Growth_M and No Growth_H) in comparison to healthy cows (Figure 1a). As serum albumin concentration did not differ among UH status groups (Figure 1b), with the exception of a slightly decrease during environmental IMI in comparison to healthy animals, the increase in total protein can be explained by an increase in the globulin fraction. Culture-negative samples with high milk SCC (NoGrowth_H), which were most likely undergoing a strong inflammatory response and pathogens could possibly not be isolated because they were engulfed by macrophages (
      • Bobbo T.
      • Ruegg P.L.
      • Fiore E.
      • Gianesella M.
      • Morgante M.
      • Pasotto D.
      • Bittante G.
      • Cecchinato A.
      Association between pathogen-specific cases of subclinical mastitis and milk yield, quality, protein composition and cheese-making traits in dairy cows.
      ), and milk samples infected by contagious and environmental bacteria were associated with greater globulin concentration in blood (Figure 1c). As a consequence, lower A:G was reported for those 3 UH clusters (Figure 1d). Variation in serum proteins was not observed with opportunistic IMI. Because CNS are commonly found on udder skin, some of the culture-positive results may be due to teat skin contamination during the collection of composite samples, rather than a real mammary gland infection (
      • Thorberg B.M.
      • Danielsson-Tham M.L.
      • Emanuelson U.
      • Waller K.P.
      Bovine subclinical mastitis caused by different types of coagulase-negative staphylococci.
      ). Thus, as the increase in globulin concentration was observed in UH status groups with the highest milk SCS (6.13, 4.80, and 4.70, for No Growth_H, contagious, and environmental IMI, respectively) and no differences were observed among IMI pathogens, variation in serum proteins seems to be associated with inflammation rather than infection. These findings support the results previously reported in
      • Bobbo T.
      • Ruegg P.L.
      • Fiore E.
      • Gianesella M.
      • Morgante M.
      • Pasotto D.
      • Bittante G.
      • Cecchinato A.
      Association between pathogen-specific cases of subclinical mastitis and milk yield, quality, protein composition and cheese-making traits in dairy cows.
      , in which the greatest impairment in milk composition and technological properties related to cheese production was observed in the 2 UH status groups with the highest milk SCC (i.e., contagious IMI and culture-negative samples with high SCC).
      Figure thumbnail gr1
      Figure 1Least squares means and SE of serum proteins by different udder health status groups. Groups were defined according to
      • Bobbo T.
      • Ruegg P.L.
      • Fiore E.
      • Gianesella M.
      • Morgante M.
      • Pasotto D.
      • Bittante G.
      • Cecchinato A.
      Association between pathogen-specific cases of subclinical mastitis and milk yield, quality, protein composition and cheese-making traits in dairy cows.
      : healthy (cows with milk SCC <100,000 cells/mL and not tested for the presence of bacteria); culture-negative samples were divided into 3 classes on the basis of SCS 25th and 75th percentiles with low (No Growth_L; 100–137 cells × 103/mL), medium (No Growth_M; 137–425 cells × 103/mL) and high (No Growth_H; >425 cells × 103/mL) SCC, culture-positive samples with contagious, environmental, and opportunistic IMI. The LSM with different letters (a–c) statistically differ (Tukey adjusted P < 0.05).
      Somatic cells and blood serum proteins seem to be 2 key components of the immune response. Once inside the teat cistern, the contact between pathogens and leukocytes and epithelial cells induces the activation of the innate immune system. After pathogen recognition, realized through the expression of specific receptors such as the cytokines toll-like receptors and CD14, bacterial growth is inhibited through the recruitment of circulating neutrophils from the bloodstream to the mammary tissue (
      • Wellnitz O.
      • Bruckmaier R.M.
      The innate immune response of the bovine mammary gland to bacterial infection.
      ). Leukocytes release several cytokines, including tumor necrosis factor-α and IL-8, which induce the synthesis of positive acute phase proteins, such as the α-globulins serum amyloid A and haptoglobin (
      • Viguier C.
      • Arora S.
      • Gilmartin N.
      • Welbeck K.
      • O'Kennedy R.
      Mastitis detection: Current trends and future perspectives.
      ). Alpha-globulins are produced in the liver and migrate to the site of infection to inhibit growth of microbes; thus, higher levels can be detected in the blood during inflammatory status, partially explaining the increase in globulin concentration observed in the serum of cows with high SCC in milk (Figure 1c). Serum amyloid A and haptoglobin have already been recognized as possible mastitis indicators, in association with the traditional SCC (
      • Petersen H.H.
      • Nielsen J.P.
      • Heegaard P.M.H.
      Application of acute phase protein measurements in veterinary clinical chemistry.
      ).
      The γ-globulin fraction is actively involved in the defense system. In fact, different immunoglobulin isotypes prevent colonization by bacteria (IgA) and support phagocytosis by neutrophils (IgG and IgM;
      • Korhonen H.
      • Marnila P.
      • Gill H.S.
      Milk immunoglobulins and complement factors.
      ). In particular, animals with a successful immune response to IMI pathogens should have rapid and effective neutrophils recruitment ability and high levels in blood serum of the opsonizing antibodies IgG2, with subsequent leakage into milk (
      • Burton J.L.
      • Erskine R.J.
      Immunity and mastitis. Some new ideas for an old disease.
      ). Thus, when appropriate antibodies bind bacteria, pathogen recognition and destruction by neutrophils is facilitated. A positive correlation between IgG2 level in serum and clinical mastitis has been observed in Holstein Friesian cows (
      • Mallard B.A.
      • Burnside E.B.
      • Burton J.H.
      • Wilkie B.N.
      Variation in serum immunoglobulins in Canadian Holstein-Friesians.
      ). Conversely, a genetic deficiency in IgG2 synthesis was associated in Danish Red cattle with a higher frequency of disease caused by pyogenic bacteria, including mastitis (
      • Nansen P.
      Selective immunoglobulin deficiency in cattle and susceptibility to infection.
      ). To synthesize pathogen-reactive IgG2 antibodies, B lymphocytes need IFN and other cytokines, secreted by T cells only after recognition of specific antigens during infection (
      • Burton J.L.
      • Erskine R.J.
      Immunity and mastitis. Some new ideas for an old disease.
      ). Thus, the increased synthesis of γ-globulins during mammary gland inflammation may further explain the greater globulin concentration in serum of cows with high milk SCC.
      Results of this study suggest that blood serum proteins (i.e., total protein, albumin, globulin, and A:G) can be a mammary gland inflammation indicator, but cannot be used to differentiate among different UH status groups. However, as different etiological agents can induce differential immune responses and stimulate the synthesis of different proinflammatory cytokines (
      • Oviedo-Boyso J.
      • Valdez-Alarcon J.J.
      • Cajero-Juarez M.
      • Ochoa-Zarzosa A.
      • Lopez-Meza J.E.
      • Bravo-Patino A.
      • Baizabal-Aguirre V.M.
      Innate immune response of bovine mammary gland to pathogenic bacteria responsible for mastitis.
      ), further studies will be required to deeply investigate variation in specific globulin fractions among different clusters of UH status.

      ACKNOWLEDGMENTS

      The authors thank the Autonomous Province of Trento (Italy) for funding.

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