great lakes dairy sheep symposium - the Department of Animal ...

great lakes dairy sheep symposium - the Department of Animal ... great lakes dairy sheep symposium - the Department of Animal ...

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1.2.2. Subclinical IMI It is now well documented that CNS are the most prevalent agents responsible for subclinical IMI: 80 % of subclinical IMI in dairy sheep are due to CNS (Fig. 2). Figure 2. Aetiology of dairy sheep subclinical IMI (Bergonier et al. 2003 and 2006) The increase of SCC depends basically on the gravity of the inflammation / infection and its persistence. An illustration is shown on the Figure 3: for healthy ewes, the geometric mean of SCC during all the lactation is about 250,000 cells/ml, while it reaches 800,000 cells/ml for longterm infected sheep and is 1,400,000 cells/ml for both glands long-term infected sheep. Figure 3. Annual geometric mean of SCC from 346 ewes according to the level of infection of the 2 glands: both glands healthy or briefly infected (1+1, 1+2, 2+2), one gland long-term infected (1+3, 2+3), long-term infected for both glands (3+3) 1600 1400 1200 1000 800 600 400 200 0 6 7 3 3 6 5 79 40 S. aureus CNS Streptococci Streptococcaceae Corynebacteria Gram negative Other 1+1 1+2 1+3 2+2 2+3 3+3

1.3. Use of SCC in order to detect subclinical IMI in sheep Various thresholds of individual SCC have been proposed to determine the healthy or infected status of the udder, depending on the approach carried out. 1.3.1. Punctual approach and single threshold Some authors have proposed a punctual approach, thus a single threshold. The cut-off point is based on the punctual comparison of SCC of infected and uninfected udder halves. The choice may take into account the best compromise between sensitivity and specificity. As shown in Figure 4, the level of somatic cell score (SCS) of the three IMI statuses are partly overlapping. In the ewe, the most common level proposed is below or over 500,000 cells/ml (SCS =2.7 on the Figure 4) to distinguish between healthy and infected udders (Bergonier et al. 2003, Berthelot et al. 2006). Figure 4. Distribution of the punctual SCS from 346 ewes according to the IMI status : 1 - healthy, 2 - briefly infected, 3 – long-term infected % 25 20 15 10 5 0 1,5 1 2 3 1,7 1,9 2,1 2,3 2,5 2,7 2,9 This approach has the advantage to be simple. But it is necessary to modulate its use depending on the objective: detection of infected sheep to be confirmed by a second analysis, detection of infected sheep to be treated at drying-off, or to be culled. Moreover, according to the chosen cut-off point, the power of detection of the truly infected (or uninfected) sheep could change, which is a drawback of this punctual approach. 1.3.2. Dynamical approach and multiple thresholds An important reason for the utilisation of such dynamic approaches is that staphylococcal IMI are characterised by dynamic fluctuations and consequently SCC cyclic variations (Fig. 5.). 41 3,1 3,3 3,5 3,7 4 SCS

1.3. Use <strong>of</strong> SCC in order to detect subclinical IMI in <strong>sheep</strong><br />

Various thresholds <strong>of</strong> individual SCC have been proposed to determine <strong>the</strong> healthy or<br />

infected status <strong>of</strong> <strong>the</strong> udder, depending on <strong>the</strong> approach carried out.<br />

1.3.1. Punctual approach and single threshold<br />

Some authors have proposed a punctual approach, thus a single threshold. The cut-<strong>of</strong>f point<br />

is based on <strong>the</strong> punctual comparison <strong>of</strong> SCC <strong>of</strong> infected and uninfected udder halves. The choice<br />

may take into account <strong>the</strong> best compromise between sensitivity and specificity. As shown in<br />

Figure 4, <strong>the</strong> level <strong>of</strong> somatic cell score (SCS) <strong>of</strong> <strong>the</strong> three IMI statuses are partly overlapping. In<br />

<strong>the</strong> ewe, <strong>the</strong> most common level proposed is below or over 500,000 cells/ml (SCS =2.7 on <strong>the</strong><br />

Figure 4) to distinguish between healthy and infected udders (Bergonier et al. 2003, Ber<strong>the</strong>lot et<br />

al. 2006).<br />

Figure 4. Distribution <strong>of</strong> <strong>the</strong> punctual SCS from 346 ewes according to <strong>the</strong> IMI status : 1 -<br />

healthy, 2 - briefly infected, 3 – long-term infected<br />

%<br />

25<br />

20<br />

15<br />

10<br />

5<br />

0<br />

1,5<br />

1 2 3<br />

1,7<br />

1,9<br />

2,1<br />

2,3<br />

2,5<br />

2,7<br />

2,9<br />

This approach has <strong>the</strong> advantage to be simple. But it is necessary to modulate its use<br />

depending on <strong>the</strong> objective: detection <strong>of</strong> infected <strong>sheep</strong> to be confirmed by a second analysis,<br />

detection <strong>of</strong> infected <strong>sheep</strong> to be treated at drying-<strong>of</strong>f, or to be culled. Moreover, according to <strong>the</strong><br />

chosen cut-<strong>of</strong>f point, <strong>the</strong> power <strong>of</strong> detection <strong>of</strong> <strong>the</strong> truly infected (or uninfected) <strong>sheep</strong> could<br />

change, which is a drawback <strong>of</strong> this punctual approach.<br />

1.3.2. Dynamical approach and multiple thresholds<br />

An important reason for <strong>the</strong> utilisation <strong>of</strong> such dynamic approaches is that staphylococcal<br />

IMI are characterised by dynamic fluctuations and consequently SCC cyclic variations (Fig. 5.).<br />

41<br />

3,1<br />

3,3<br />

3,5<br />

3,7<br />

4<br />

SCS

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