The efficacy of bovine lactoferrin in the treatment of cows with experimentally induced<i>Escherichia coli</i>mastitis

Kutila, T; Suojala, Leena; Lehtolainen, Tanja; Saloniemi, Hannu; Kaartinen, Liisa; Tahti, M; Seppälä, K; Pyörälä, Satu

doi:10.1111/j.1365-2885.2004.00581.x

Cited by 33 publications

(24 citation statements)

References 36 publications

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“…As SCS is influenced by the presence of mastitis (Emanuelson et al, 1988;Harmon, 1994;Pö sö and Mä ntysaari, 1996;Hagiwara et al, 2003), we can hypothesize that predicted LTF may also be related to the presence of mastitis. The relationship between clinical or subclinical mastitis and the milk LTF content was mentioned previously by Gaunt et al (1980), Hagiwara et al (2003) and Kutila et al (2004). The logistic regression including only MIR predicted LTF did not reveal the presence of mastitis (the P-value of the Wald test was of 0.17).…”

Section: Mastitis Indicatormentioning

confidence: 86%

“…Its concentration is higher during the later lactation stages (0.25 to 0.40 g/l) compared with early lactation stages (Hagiwara et al, 2003;Baumrucker et al, 2005;Pugovel et al, 2005). LTF can also be released by polymorphonuclear neutrophils during inflammation (Kutila et al, 2004).…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, the content of LTF in bovine milk may have potential as an indicator of the presence of mastitis and could be used in an animal breeding program to augment the accuracy of selection for mastitis resistance in dairy cows. Indeed, high LTF concentration in milk (2.3 g/l of milk) compared with the expected normal level (0.1 to 0.4 g/l of milk) produced by a specific cow may indicate clinical or subclinical mastitis (Kutila et al, 2004). Moreover, naturally increasing the content of LTF in milk through genetic selection could also have beneficial effects on human health (Tsuda et al, 2000).…”

Section: Introductionmentioning

confidence: 99%

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

Soyeurt

Bastin

Colinet

et al. 2012

Animal

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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 5 110), Ireland (n 5 1658) and Scotland (n 5 731). 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 3 LTF effects were significant (P , 0.001 and P 5 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 5 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.

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Section: Mastitis Indicatormentioning

confidence: 86%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Soyeurt

Bastin

Colinet

et al. 2012

Animal

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“…This protein is present naturally in higher concentrations during the later prepartum lactating and dry periods (0.25 to 0.40 g/L) than in early lactation stages (Hagiwara et al, 2003;Baumrucker et al, 2005;Pugovel et al, 2005). Lactoferrin can also be released by polymorphonuclear neutrophils during inflammation (20 to 80 g/L; Kutila et al, 2004).…”

Section: Introductionmentioning

confidence: 99%

Genetic Variability of Lactoferrin Content Estimated by Mid-Infrared Spectrometry in Bovine Milk

Soyeurt

Colinet

Arnould

et al. 2007

Journal of Dairy Science

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The effects of lactoferrin (LF) on the immune system have already been shown by many studies. Unfortunately, the current methods used to measure LF levels in milk do not permit the study of the genetic variability of lactoferrin or the performance of routine genetic evaluations. The first aim of this research was to derive a calibration equation permitting the prediction of LF in milk by mid-infrared spectrometry (MIR). The calibration with partial least squares on 69 samples showed a ratio of standard error of cross-validation to standard deviation equal to 1.98. Based on this value, the calibration equation was used to establish an LF indicator trait (predicted LF; pLF) on a large number of milk samples (n = 7,690). A subsequent study of its variability was conducted, which confirmed that stage of lactation and lactation number influence the overall pLF level. Small differences in mean pLF among 7 dairy breeds were also observed. The pLF content of Jersey milk was significantly higher than that in Holstein milk. Therefore, the choice of breed could change the expected LF level. Heritability estimated for pLF was 19.7%. The genetic and phenotypic correlations between somatic cell score and pLF were 0.04 and 0.26, respectively. As somatic cell score increases in presence of mastitis, this observation seems to indicate that pLF, or a function of observed pLF, compared with expected LF might have potential as an indicator of mastitis. The negative genetic correlation (−0.36) between milk yield and pLF could indicate an undesirable effect of selection for high milk production on the overall LF level.

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“…Bovine LTF concentration in milk from healthy mammary glands is low: 100-400 μg/mL (Kutila et al 2004) and significantly increases during immunological stress (Kawai et al 1999, Hagiwara et al 2003, Chaneton et al 2008. A high positive correlation between somatic cell count (SCC) and LTF content in milk was reported by Hagiwara et al (2003) and Cheng et al (2008a).…”

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confidence: 90%

Association of polymorphism within LTF gene promoter with lactoferrin concentration in milk of Holstein cows

Zabolewicz¹,

Barcewicz²,

Brym³

et al. 2014

Polish Journal of Veterinary Sciences

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This study analyzed the association between single nucleotide polymorphism (A/C) in position -28 located in the TATA box of LTF gene and the lactoferrin concentration in bovine milk secreted by healthy and infected udders. Out of 241, 69 cows were selected into the experimental group and were divided into 3 groups according to mean value of somatic cell count (SCC): I <180 000 cells/mL, II: 180 000 -350 000 cells/mL and III > 350 000 cells/mL. In each SCC group, three LTF genotypes: AA, AC and CC were identified by PCR-SSCP method. A total of 604 milk samples were collected monthly and lactoferrin concentration was measured by ELISA. The 1-way ANOVA within SCC groups was performed to estimate association of -28 A/C genotypes with mean lactoferrin concentration per lactation. In the group of healthy cows (<180 000 cells/mL) LTF concentration in milk cows with the AA genotype (107.58 ± 17.92 μg/mL) was significantly higher than in homozygotes CC (52.09 ± 19.01 μg/mL). Unexpectedly, in cows with elevated SCC (>350 000 cells/mL) we observed a significant opposite relationship (207.21 ± 28.50 in CC vs 115.0 ± 28.6 μg/mL in AA). We hypothesized that a promoter with allele C, which cannot be recognized as a TATA sequence is becoming more accessible for other transcription factors, which may induce alternative LTF gene expression. We assume that our results demonstrate a very interesting effect of differential gene expression depending on polymorphism in a key regulatory motif (TATA box) and also on the health status of mammary tissues.

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The efficacy of bovine lactoferrin in the treatment of cows with experimentally inducedEscherichia colimastitis

Cited by 33 publications

References 36 publications

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

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

Genetic Variability of Lactoferrin Content Estimated by Mid-Infrared Spectrometry in Bovine Milk

Association of polymorphism within LTF gene promoter with lactoferrin concentration in milk of Holstein cows

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