Molecular analysis of tumor suppressor genes p16INK4 and TP53 of osteosarcomas in Spanish children

OBJECTIVE: Alterations affecting tumor suppressor genes, specifically p16INK4 and TP53, have been shown to be involved in the development of human cancer due to their important role in the control of normal cell cycle progression. As the genetic events leading to the development of pediatric osteosarcoma remain partially unclear, we have tested the possibility that a significant number of pediatric osteosarcoma patients harbor mutations in these genes. PATIENTS AND METHODS: We have analyzed 64 samples (fresh tissues, paraffin embedded biopsies and peripheral blood lymphocytes) corresponding to 38 pediatric osteosarcoma patients. TP53 mutations were analyzed by DGGE (Denaturing Gradient Gel Electrophoresis) analysis of exons 5 through 8. We searched for deletions in the p16INK4 gene by PCR (Polymerase Chain Reaction) analysis and point mutations were screened by means of SSCP (Single Strand Conformation Polymorphisms). RESULTS: Our analysis showed that 18.4% of the samples harbored mutations in the coding region of TP53 and that 7% had a homozygous deletion of the p16INK4 gene. Our results suggest that p16INK4 deletions may constitute a bad prognostic factor and that TP53 alterations may be correlated, although not statistically, with reduced survival time. CONCLUSIONS: Mutations of the TP53 and deletion of p16INK4 tumor suppressor genes seem to be involved in the development of pediatric osteosarcoma. Moreover, alterations of these genes may constitute a prognostic factor related with poor prognosis or decreased survival time.     

Mammary pathogens and their relationship to somatic cell count and milk yield losses in dairy ewes

A total of 9592 samples of half udder milk were collected monthly throughout lactation for bacteriological and somatic cell count (SCC) study from 1322 Churra ewe lactations from seven separate flocks enrolled in the recording scheme of the National Association of Spanish Churra Breeders in the Castile-Le6n region of Spain. Statistical analyses were carried out from a mixed model with random factor half udder or ewe for repeated measures. Test of significance of fixed effects of this mixed model showed significant effects of organisms, flock, parity, lactation stage, and birth type on SCC. Special reference must be made to novobiocin-sensitive coagulase-negative staphylococci, which represented more than 50% of the isolates and which elicited SCC geometric means of around 106/ml. In addition, the analysis of 4352 monthly test-day records for milk yield, SCC, and bacteriology showed that the ewes that were uninfected and infected by minor pathogens had the lowest SCC and the highest milk yields, whereas those infected by major pathogens had high SCC and milk yield losses between 8.8 and 10.1% according to the uni- or bilateral character of the infection. Finally, ewes infected by novobiocin-sensitive coagulase-negative staphylococci elicited SCC values similar to those of infections by major pathogens and milk yield losses ranging between those caused by minor and major pathogens. As a result, emphasis should be put on prevention of subclinical mastitis, particularly mastitis caused by novobiocin-sensitive coagulase-negative staphylococci in dairy sheep herds to improve microbiological and hygienic milk quality and to minimize losses in milk yield.     

Microbiological quality and somatic cell count of ewe milk with special reference to staphylococci

A total 1502 useful half udders of 762 Churra ewes from eight herds were aseptically sampled in midlactation to study both the bacteriological isolates and the SCC of milk. Corynebacteria, enterococci, micrococci, staphylococci, and streptococci represented 11.2, 2.9, 1.4, 78.9, and 3.1% of all isolates, respectively. Within staphylococci, novobiocin-sensitive species (71.1%) were much more frequently isolated than novobiocin-resistant ones (7.8%). Staphylococcus epidermidis was the most prevalent species (53.2% of the isolates). Log SCC of uninfected half udder milk was 4.86. Isolates of novobiocin-resistant coagulase-negative staphylococci, micrococci, and corynebacteria were associated to low values of log SCC (4.85 to 5.20). In contrast, infection by novobiocin-sensitive coagulase-negative staphylococci, streptococci, and enterococci organisms was related to a sharp inflammatory response with log SCC means between 5.92 and 6.32. The species that showed the highest log SCC were Pasteurella haemolytica (7.62), Streptococcus agalactiae (7.28), and Staphylococcus aureus (6.68). High prevalence of infections by novobiocin-sensitive staphylococci together with high SCC related to such infections show a relevant role of these organisms in ewe mastitis. Consequently, implementation of staphylococcal mastitis control programs would be of great interest in dairy ewe herds to improve microbiological and hygienic quality of milk.     

Adeno-Associated Viral Vectors as Versatile Tools for Parkinson’s Research,Both for Disease Modeling Purposes and for Therapeutic Uses

It is without any doubt that precision medicine therapeutic strategies targeting neurodegenerative disorders are currently witnessing the spectacular rise of newly designed approaches based on the use of viral vectors as Trojan horses for the controlled release of a given genetic payload. Among the different types of viral vectors, adeno-associated viruses (AAVs) rank as the ones most commonly used for the purposes of either disease modeling or for therapeutic strategies. Here, we reviewed the current literature dealing with the use of AAVs within the field of Parkinson’s disease with the aim to provide neuroscientists with the advice and background required when facing a choice on which AAV might be best suited for addressing a given experimental challenge. Accordingly, here we will be summarizing some insights on different AAV serotypes, and which would be the most appropriate AAV delivery route. Next, the use of AAVs for modeling synucleinopathies is highlighted, providing potential readers with a landscape view of ongoing pre-clinical and clinical initiatives pushing forward AAV-based therapeutic approaches for Parkinson’s disease and related synucleinopathies.