Sheep model in orthopedic research: a literature review

The aim of the study reported here was to provide some basic and general information on the suitability of an experimental sheep model for conducting in vivo orthopedic studies. The authors have classified the fundamental aspects that should be carefully evaluated when using sheep as an experimental model in orthopedic research: factors strictly related to bone anatomy and formation; and factors strictly affecting bone physiology, such as gastrointestinal mineral and vitamin absorption, and reproductive cycle. Future investigations should address all of the aspects highlighted, since there is no animal with the same anatomic, biochemical, physiologic, and biological characteristics as those of human beings. Moreover, useful data for treating orthopedic patients are based not only on good planning and study design, but also on perfect knowledge of the animal used and the differences between the model and the human being. The authors hope that this report will contribute to extrapolation of reliable data for use of sheep in the orthopedics field.     

Quantitative and qualitative analysis of the effectiveness of a mechanical method for the isolation of preantral follicles from ovine ovaries

The preantral follicles are the major source of oocytes and its utilization has been investigated as an important tool to store large numbers of female gametes for further utilization in reproductive programs. The aim of the present study was to perform quantitative and qualitative analyses of the efficacy of a mechanical method for isolating of preantral follicles from the ovaries of fetuses and from nonpregnant and pregnant ewes, using as reference the population of preantral follicles in situ. In the isolation method the ovaries were cut into fragments in the tissue chopper. Then, the suspension was filtered through nylon mesh filters. The number of isolated follicles per ovary was 1655, 4735 and 4770, respectively, for the fetus, nonpregnant ewe and pregnant ewe. The number of in situ preantral follicles per ovary was 32961, 16627 and 17794, respectively, for the fetus, nonpregnant ewe and pregnant ewe. The follicle recovery rate (number of isolated preantral follicles/number of in situ preantral follicles x 100) was higher in adult ewes (26 and 28%, respectively, for nonpregnant and pregnant ewes) than in fetuses (5%). Histological analysis showed that very few preantral follicles (less than 0.26% in situ and 0.46% after the isolation procedure) were degenerated. In conclusion, this study showed that a mechanical method could be used effectively to isolate a large number of intact ovine preantral follicles. In the future, with improvements in culture systems, the isolation of a great number of oocytes enclosed in preantral follicles will make a valuable contribution to the rare breeds and endangered species, agricultural efficiency and basic research in folliculogenesis.     

Phosphorylation of GRK2 by protein kinase C abolishes its inhibition by calmodulin

G-protein-coupled receptor kinases (GRKs) are important regulators of G-protein-coupled receptor function. Two members of this family L, GRK2 and GRK5 L, have been shown to be substrates for protein kinase C (PKC). Whereas PKC-mediated phosphorylation results in inhibition of GRK5, it increases the activity of GRK2 toward its substrates probably through increased affinity for receptor-containing membranes. We show here that this increase in activity may be caused by relieving a tonic inhibition of GRK2 by calmodulin. In vitro, GRK2 was preferentially phosphorylated by PKC isoforms alpha, gamma, and delta. Two-dimensional peptide mapping of PKCalpha-phosphorylated GRK2 showed a single site of phosphorylation, which was identified as serine 29 by HPLC-MS. A S29A mutant of GRK2 was not phosphorylated by PKC in vitro and showed no phorbol ester-stimulated phosphorylation when transfected into human embryonic kidney (HEK)293 cells. Serine 29 is located in the calmodulin-binding region of GRK2, and binding of calmodulin to GRK2 results in inhibition of kinase activity. This inhibition was almost completely abolished in vitro when GRK2 was phosphorylated by PKC. These data suggest that calmodulin may be an inhibitor of GRK2 whose effects can be abolished with PKC-mediated phosphorylation of GRK2.     

Translocator protein (TSPO) and neurosteroids: implications in psychiatric disorders

The translocator protein (TSPO) is a five transmembrane domain protein localised primarily in the outer mitochondrial membrane of steroid-synthesizing tissues, including the brain. The TSPO mediates the rate-limiting step of steroidogenesis, consisting of the translocation of the substrate cholesterol from the outer to the inner mitochondrial membrane. In the recent years TSPO function has received attention in several psychiatric disorders since these diseases have been associated with unbalanced steroid levels. Accordingly, an alteration in the levels of TSPO has been found in various psychiatric disorders, including social phobia, post-traumatic stress disorder, adult separation anxiety and schizophrenia. The discovery that TSPO drug ligands are able to stimulate neurosteroid production in the brain, independently of peripheral endocrine sources, and restore neurosteroid-mediated neurotransmission, has made the TSPO an attractive drug target for treating a number of psychiatric disorders. In anxiety TSPO drug ligands have shown in vivo efficacy in pharmacologically induced anxiety models in both animals and humans. The focus of this review is to illustrate the currently available literature regarding the role of TSPO in psychiatric disorders.     

Evidence for complex binding profiles and species differences at the translocator protein (TSPO) (18 kDa)

The translocator protein (TSPO) (18 kDa) is an emerging drug target for the treatment of numerous pathologies including cancer and neurodegenerative disease. However, our limited knowledge of TSPO binding site(s) has hindered the development of TSPO ligands with potential therapeutic effects. We have synthesized a series of pyrrolobenzoxazepines (1-10) to better characterize the interaction of ligands with the TSPO across species, and to determine their functional profiles. All ligands 1-10 displaced the binding of [3H]PK 11195 to the TSPO at nanomolar concentrations, with discrepancies in binding affinity between rat and human TSPO. Interestingly, non-linear regression analysis revealed that some ligands bound to the protein with a Hill slope not equal to 1.0, suggesting possible additional TSPO binding sites with allosteric effects. However, this trend was not conserved between rat and human. When tested for their effects on pregnenolone production in rat C6 glioma cells, nitric oxide release in murine microglia, and cell proliferation in human MCF-7 breast cancer cells, the pyrrolobenzoxazepines (40 μM) displayed functional effects which did not correlate to the binding trend observed in competition assays. We propose that consideration of species differences and binding site cooperativity, plus optimization of currently accepted functional assays, will aid in the development of drugs targeting TSPO that can be used as therapeutics for human disease.     

Inhibition of Notch3 signalling induces rhabdomyosarcoma cell differentiation promoting p38 phosphorylation and p21(Cip1) expression and hampers tumour cell growth in vitro and in vivo

Rhabdomyosarcoma (RMS) is a paediatric soft-tissue sarcoma arising from skeletal muscle precursors coexpressing markers of proliferation and differentiation. Inducers of myogenic differentiation suppress RMS tumourigenic phenotype. The Notch target gene HES1 is upregulated in RMS and prevents tumour cell differentiation in a Notch-dependent manner. However, Notch receptors regulating this phenomenon are unknown. In agreement with data in RMS primary tumours, we show here that the Notch3 receptor is overexpressed in RMS cell lines versus normal myoblasts. Notch3-targeted downregulation in RMS cells induces hyper-phosphorylation of p38 and Akt essential for myogenesis, resulting in the differentiation of tumour cells into multinucleated myotubes expressing Myosin Heavy Chain. These phenomena are associated to a marked decrease in HES1 expression, an increase in p21(Cip1) level and the accumulation of RMS cells in the G1 phase. HES1-forced overexpression in RMS cells reverses, at least in part, the pro-differentiative effects of Notch3 downregulation. Notch3 depletion also reduces the tumourigenic potential of RMS cells both in vitro and in vivo. These results indicate that downregulation of Notch3 is sufficient to force RMS cells into completing a correct full myogenic program providing evidence that it contributes, partially through HES1 sustained expression, to their malignant phenotype. Moreover, they suggest Notch3 as a novel potential target in human RMS.     

Effect of size and heterogeneity of samples on biomarker discovery: synthetic and real data assessment

Motivation

The identification of robust lists of molecular biomarkers related to a disease is a fundamental step for early diagnosis and treatment. However, methodologies for the discovery of biomarkers using microarray data often provide results with limited overlap. These differences are imputable to 1) dataset size (few subjects with respect to the number of features); 2) heterogeneity of the disease; 3) heterogeneity of experimental protocols and computational pipelines employed in the analysis. In this paper, we focus on the first two issues and assess, both on simulated (through an in silico regulation network model) and real clinical datasets, the consistency of candidate biomarkers provided by a number of different methods.

Methods

We extensively simulated the effect of heterogeneity characteristic of complex diseases on different sets of microarray data. Heterogeneity was reproduced by simulating both intrinsic variability of the population and the alteration of regulatory mechanisms. Population variability was simulated by modeling evolution of a pool of subjects; then, a subset of them underwent alterations in regulatory mechanisms so as to mimic the disease state.

Results

The simulated data allowed us to outline advantages and drawbacks of different methods across multiple studies and varying number of samples and to evaluate precision of feature selection on a benchmark with known biomarkers. Although comparable classification accuracy was reached by different methods, the use of external cross-validation loops is helpful in finding features with a higher degree of precision and stability. Application to real data confirmed these results.