Background The therapeutic strategy for children with cow’s milk allergy (CMA) consists in the elimination of cow’s milk (CM) from their diet. Donkey’s milk (DM) has been reported to be an adequate alternative, mainly to his nutritional similarities with human milk (HM) and excellent palatability. The aim of present prospective study was to evaluate the nutritional impact of DM on the diet of children with CMA in term of children growth. Methods Before the nutritional trial on children and during the study the health and hygiene risks and nutritional and nutraceuticals parameters of DM were monitored. Children with CMA were identified by the execution of in vivo and in vitro tests for CM and subsequent assessment of tolerability of DM with oral food challenge (OFC). Finally, we prescribed DM to a selected group of patients for a period of 6 months during which we monitored the growth of children. A total of 81 children, 70 with IgE mediated cow’s milk protein allergy (IgE-CMPA) and 11 with Food Protein Induced Enterocolitis Syndrome to CM (CM-FPIES), were enrolled. Results Seventy-eight out of 81 patients underwent the OFC with DM and only one patient with IgE-CMPA (1.5 %) reacted. Twenty-two out of 81 patients took part of the nutritional trial. All the 22 patients took and tolerated the DM, moreover DM did not change the normal growth rate of infants. Conclusions In conclusion, DM resulted safe in term of health and hygiene risks and nutritionally adequate: no negative impact on the normal growth rate of children was assessed. Therefore, it may be a suitable alternative for the management of IgE mediated CMA and FPIES, also in the first 6 months of life, if adequately supplemented.

Caprine arthritis/encephalitis (CAE) of goats and occasionally sheep are persistent virus infections caused by a lentivirus (CAEV). This viral infection results in arthritis in adult animals and encephalitis in kids. Prognosis for the encephalitic form is normally poor, with substantial economic loss for the farm. In this context an early/fast laboratory diagnosis for CAEV infection could be useful for effective prophylactic action. In this work we performed a quantitative real time PCR designed on the CAEV env gene to detect/quantify in goat/sheep samples, viral RNA or proviral DNA forms of CAEV. This procedure was validated in 15 sheep, experimentally infected with CAEV or with a highly correlated lentivirus (visna maedi, MVV); in addition, a total of 37 clinical goat specimens recruited in CAEV positive herds were analyzed and compared using serological analysis (Elisa and AGID). All samples infected with MVV resulted negative. In sheep experimentally infected with CAEV, proviral DNA was detectable 15 days post infection, whereas the serological methods revealed an indicative positivity after 40-60 days.This method showed a sensitivity of 102 env fragments/PCR) with a linear dynamic range of quantitation from 103 to 107 env fragments/PCR; the R2 correlation coefficient was 0.98. All subjects with a clinical diagnosis for Caprine Arthritis-Encephalitis (CAE) resulted CAEV DNA positive.

In order to investigate the genetic heterogeneity of small ruminant lentivirus (SRLV) isolates in Italy, 55 clinical samples collected between 1998 and 2010 were analysed. The phylogenetic study was based on analysis of gag-pol sequences. Our findings revealed that the SRLVs belonged to the subtype A9 (n = 3, sheep), B1 (n = 5, goat), B2 (n = 3, sheep) and E2 (n = 5, goat). Interestingly, 39 isolates from both sheep and goat, significantly differed from all the other SRLVs previously described and formed two separate clusters within genotypes A and B tentatively named A11 (n = 27, goat and sheep) and B3 (n = 12, goat and sheep), which have never been shown before. These results revealed a marked diversity among Italian field SRLV strains which might reflect the absence of any systematic control measures.

Until now there are only few data on the effects of thermal treatments on the nutritional and hygienic characteristics of donkey milk. This Research Communication aims to provide information on the effects of pasteurization (at +65 °C for 30 min) and prolonged storage at refrigeration and freezing temperatures (21 d at + 3 °C ± 2 °C and up to 90 d at -20 °C ± 5 °C) on some nutritional and hygienic characteristics of Amiata donkey milk. The milk was monitored by chemical and microbiological analysis. Pasteurization ensured compliance with EC Regulation No 1441/2007, as Enterobacteriaceae were never found in the milk, or during storage at refrigeration and freezing temperatures. Colony count at 30 °C in pasteurized milk never went beyond 1 log CFU/ml. The heat treatment and the storage did not result in any variations in the main constituents of the milk. Only a decrease in lactose and few variations in some fatty acids at 90 d of freezing were observed. In conclusion, pasteurization was able to achieve and maintain a high hygienic-sanitary quality over time; storage at refrigeration or freezing temperatures did not alter the nutritional quality of fat and the gross composition of the product. These findings are useful to improve knowledge on the milk shelf life in order to guarantee safety and nutritional quality for infants who need small quantities of daily milk.

Current Hazard Analysis Critical Control Points (HACCP) approaches mainly fit for food industry, while their application in primary food production is still rudimentary. The European food safety framework calls for science-based support to the primary producers’ mandate for legal, scientific, and ethical responsibility in food supply. The multidisciplinary and interdisciplinary project ALERT pivots on the development of the technological invention (BEST platform) and application of its measurable (bio)markers—as well as scientific advances in risk analysis—at strategic points of the milk chain for time and cost-effective early identification of unwanted and/or unexpected events of both microbiological and toxicological nature. Health-oriented innovation is complex and subject to multiple variables. Through field activities in a dairy farm in central Italy, we explored individual components of the dairy farm system to overcome concrete challenges for the application of translational science in real life and (veterinary) public health. Based on an HACCP-like approach in animal production, the farm characterization focused on points of particular attention (POPAs) and critical control points to draw a farm management decision tree under the One Health view (environment, animal health, food safety). The analysis was based on the integrated use of checklists (environment; agricultural and zootechnical practices; animal health and welfare) and laboratory analyses of well water, feed and silage, individual fecal samples, and bulk milk. The understanding of complex systems is a condition to accomplish true innovation through new technologies. BEST is a detection and monitoring system in support of production security, quality and safety: a grid of its (bio)markers can find direct application in critical points for early identification of potential hazards or anomalies. The HACCP-like self-monitoring in primary production is feasible, as well as the biomonitoring of live food producing animals as sentinel population for One Health.