Field investigation to determine the environmental source of PCBs in a pig farm.

During a national monitoring plan, a pork fat sample was declared non-compliant for the sum of dioxins and PCB-DL (EU regulation). The National Reference Laboratory together with competent authorities conducted extended investigations to determine rapidly the contamination source at the farm level. A range of samples (n = 129), representative of potential contamination sources, was selected for further characterization (fat, feed, materials, dust, soil) and was analyzed for PCDD/Fs and DL-PCBs by GC-HRMS. A hot spot was localized in the farm, which corresponded to a pre-feed storage tank, the paints of which presented huge DL-PCB concentrations (>1 × 106 pg g-1), responsible for the contamination. The present case report describes a new source of PCB contamination, previously undescribed.

Campylobacter contamination of broiler caeca and carcasses at the slaughterhouse and correlation with Salmonella contamination.

In order to estimate the prevalence of Campylobacter spp. and Salmonella spp. on broiler chicken carcasses and the prevalence of Campylobacter spp. in caeca, 58 French slaughterhouses were investigated in 2008. Enumeration of Campylobacter spp. was also performed in order to study the relation between caeca and carcass contamination. A pool of 10 caeca and one carcass were collected from 425 different batches over a 12-month period in 2008. Salmonella was isolated on 32 carcasses leading to a prevalence of 7.5% ([5.0-10.0](95%CI)). The prevalence of Campylobacter was 77.2% ([73.2-81.2](95%CI)) in caeca and 87.5% ([84.4-90.7](95%CI)) on carcasses. No significant correlation was found between Campylobacter and Salmonella. Positive values of Campylobacter were normally distributed and the average level was 8.05 log(10) cfu/g ([7.94-8.16](95%CI)) in caeca and 2.39 cfu/g ([2.30-2.48](95%CI)) on carcasses. A positive correlation (r = 0.59) was found between the mean of Campylobacter in caeca and on carcasses (p < 0.001). Thus, carcasses from batches with Campylobacter-positive caeca had significantly (p < 0.001) higher numbers of Campylobacter per gram than batches with negative caeca. These results show that Campylobacter can be present in both matrices and reduction in caeca could be a possible way to reduce the amount of bacteria on carcasses. Of the 2504 identifications performed, 3 species of Campylobacter (Campylobacter jejuni, Campylobacter coli and Campylobacter lari) were identified. The main species recovered were C. jejuni and C. coli, which were isolated in 55.3% and 44.5% of positive samples, respectively. These two species were equally represented in caeca but C. jejuni was the most frequently isolated on carcasses with 57.1% and 42.5% of positive carcasses for C. jejuni and C. coli, respectively. This study underlines that target a reduction of Campylobacter on final products requires a decrease of contamination in caeca.

Prevalence of and risk factors for Campylobacter spp. contamination of broiler chicken carcasses at the slaughterhouse.

A study was conducted in 2008 to estimate the prevalence and identify the risk factors for Campylobacter spp. contamination of broiler carcasses during the slaughtering process. A pool of 10 caeca and one carcass were collected from 425 batches of broiler chickens slaughtered in 58 French slaughterhouses over a 12-month period. Potential risk factors were identified according to the Campylobacter contamination status of carcasses and processing variables identified from questionnaires. The statistical analysis took into account confounding factors that have already been associated with the presence of Campylobacter on carcasses such as the slaughter age of the chicken or seasonal variations. Campylobacter spp. were isolated from 77.2% of caeca (95% CI 73.2 to 81.2) and from 87.5% of carcasses (95% CI 84.4 to 90.7). A multiple logistic regression showed 4 parameters as significant risk factors (p < 0.05) for contamination: (I) batches were not the first to be slaughtered in the logistic schedule (OR = 3.5), (II) temperature in the evisceration room was higher than 15 °C (OR = 3.1), (III) dirty marks on carcasses after evisceration were visible (OR = 2.6) and (IV) previous thinning of the flocks, from which slaughtered batches came, had occurred at the farm (OR = 3.3). This last result highlighted the need for sanitary precautions to be taken when catching birds for transport. At the slaughterhouse, evisceration seemed to be the operation contributing most to the spread of contamination. Effective risk management solutions could include the systematic external rinsing of carcasses after evisceration and the implementation of slaughtering schedules according to the Campylobacter contamination status of flocks.

Prevalence and risk factors for Salmonella enterica subsp. enterica contamination in French breeding and fattening turkey flocks at the end of the rearing period.

An epidemiological study was conducted to estimate the prevalence of Salmonella spp. contamination in French commercial breeding and fattening turkey flocks at the end of the rearing period, as part of a European Union-wide baseline study. Two hundred and five breeding turkey flocks and three hundred and two fattening turkey flocks were included in the study, between October 2006 and September 2007. The Salmonella status of flocks was assessed by collecting five environmental faeces samples, analysed by classical bacteriological method. The prevalence of Salmonella positive flocks was 1.5% for breeding turkeys and 15.6% (95% CI: 11.5; 19.7) for fattening turkeys. Information on potential risk factors of the turkey flock being Salmonella positive was collected by questionnaire at the same time as sample collection. The association between management practices, general hygiene and Salmonella status in French turkey flocks was assessed by logistic regression. The risk of Salmonella contamination in fattening turkey flocks was decreased when floors were disinfected during decontamination procedures, when Salmonella detection was carried out during rearing and when there was a metering pump in the house. However in this study, the risk was increased when the farmer used a footbath at the turkey house entrance. Risk factors for Salmonella in breeding turkey flocks could not be subjected to formal statistical analysis since only three flocks were contaminated.

Swine infection with Trichinella spiralis: Comparative analysis of the mucosal intestinal and systemic immune responses.

The immune protective response developed by swine against Trichinella spiralis is not yet fully understood, particularly at the mucosal level. This study aimed to characterise intestinal immunity to T. spiralis by comparison with the systemic response in specifically pathogen-free pigs. For this purpose, the kinetics of cytokine and antibody production were assessed in the intestinal mucosa and serum of swine infected with T. spiralis for up to 60 days post-infection (dpi). An ex vivo model of jejunum mucosa culture was used to collect the supernatant as a source of antibodies (Abs). Mucosal antibodies were observed by Western blot from 15 dpi, while serum antibodies were expressed from 20 dpi. Both sources of antibodies initially recognized a 110 kDa protein, followed by the identification of 35, 43/46 and 55/59 kDa proteins. IgG1 and IgA antibodies were strongly expressed within the mucosa. The expression levels of Type 1 (IFN-gamma, IL-12), Type 2 (IL-4, IL-6), pro-inflammatory (TNF-alpha) and regulatory (IL-10, TGF-beta) cytokines were assessed by RT-PCR in the intestinal mucosa and spleen. Both IL-10 and IFN-gamma mRNA levels were increased in mucosa, whereas IL-6 and IL-12 mRNA were expressed in spleen. Taken together, these results demonstrated a mixed Type 1/Type 2 profile, the Type 2 profile being dominant in the mucosa.

Genetic basis of antibiotic resistance in clinical isolates of Streptococcus gallolyticus (Streptococcus bovis).

Among 128 Streptococcus gallolyticus (Streptococcus bovis) isolates, 77.7% were resistant to tetracyclines and contained tet(M) and/or tet(L) and/or tet(O). A total of 59.4% had macrolide resistance and contained erm(B) and, rarely, mef(A). Among the one-third of isolates highly resistant to kanamycin and streptomycin, most harbored aphA3 and aad-6 genes.