Participatory Ecological Monitoring of the Alaotra Wetlands in Madagascar

Participatory ecological monitoring is a realistic and effective approach in wetlands such as Alaotra, Madagascar, where important biodiversity is found in an area with high human population density. Since 2001, Durrell Wildlife Conservation Trust, government technical services, regional non-governmental organisations and local communities have collected data on key species, such as waterbirds, a locally endemic lemur and useful natural resources. The monitoring was linked with environmental quizzes and an inter-village competition, which helped raise interest in the monitoring and publicise results. The monitoring has assisted wetland management by guiding amendments to and increasing respect for the regional fishing convention, raising awareness, catalysing marsh management transfer to communities and stimulating collaboration and good governance. The sustainability of the monitoring scheme and the usefulness of the data for detecting trends and guiding local managements are discussed.     

Ontogenetic bases of canine dimorphism in anthropoid primates

This study tests hypotheses regarding the ontogeny of canine tooth size dimorphism in five anthropoid primate species (Saguinus fuscicollis, Macaca mulatta, Cercocebus atys, Papio hamadryas, and Mandrillus sphinx). Canine measurements and chronological age data are analyzed to determine if bimaturism, a sex difference in the age at which eruption ceases, accounts for canine tooth sexual dimorphism. Canine height measurements are evaluated through a variety of regression techniques. Results show a lack of sexual dimorphism in Saguinus. While size dimorphism is absent in the deciduous teeth of all species analyzed, the adult teeth in cercopithecines become increasingly dimorphic through ontogeny. Female adult tooth eruption regularly precedes male tooth eruption, and regression-based eruption trajectories for both sexes intersect at about the age at which the female tooth reaches adult size. Males erupt the tooth later and more rapidly than females. Males also reach a larger adult size than females by erupting the tooth for much longer periods of time. Bimaturism is primary in the production of dimorphism, but rates of eruption show modest variation. These results point to the scheduling of sexual selection through intermale competition as a primary factor determining male eruption timing, rates of eruption, and adult size. Life history factors may play a role in determining the relations between the scheduling of intrasexual competition and canine eruption. Female contributions to sexual dimorphism are apparent in these species, suggesting that similar levels of dimorphism can be attained through diverse ontogenetic pathways.     

Mutations that cause osteoglophonic dysplasia define novel roles for FGFR1 in bone elongation

Activating mutations in the genes for fibroblast growth factor receptors 1-3 (FGFR1-3) are responsible for a diverse group of skeletal disorders. In general, mutations in FGFR1 and FGFR2 cause the majority of syndromes involving craniosynostosis, whereas the dwarfing syndromes are largely associated with FGFR3 mutations. Osteoglophonic dysplasia (OD) is a "crossover" disorder that has skeletal phenotypes associated with FGFR1, FGFR2, and FGFR3 mutations. Indeed, patients with OD present with craniosynostosis, prominent supraorbital ridge, and depressed nasal bridge, as well as the rhizomelic dwarfism and nonossifying bone lesions that are characteristic of the disorder. We demonstrate here that OD is caused by missense mutations in highly conserved residues comprising the ligand-binding and transmembrane domains of FGFR1, thus defining novel roles for this receptor as a negative regulator of long-bone growth.     

Does the peroxidase-like activity of sodium dodecyl sulphate-modified cytochrome c increase after peroxynitrite or radiation treatment?

The peroxidase-like activity of cytochrome c is considerably increased by unfolding of the protein. The enhancement of the activity is due to the higher reaction rate of unfolded cytochrome c with hydrogen peroxide, which is the rate-determining step in the peroxidase cycle of cytochrome c (Gebicka, L., 2001, Res Chem Intermed 27, 717-23). In this study we checked whether combined action of two unfolding factors, SDS and peroxynitrite or radiation (hydroxyl radicals), increases the peroxidase-like activity of cytochrome c more than any single treatment alone. Peroxynitrite reacts with SDS-modified cytochrome c in the same way as with native cytochrome c, via intermediate radical products, *OH/*NO2, arising from peroxynitrite homolysis. We found that SDS-modified cytochrome c is much more sensitive to oxidative damage than the native protein. Partial unfolding of cytochrome c by SDS causes the peroxide substrate to have a better access to the heme center. On the other hand, the amino acids located in the vicinity of the active site and/or heme group become accessible for oxidizing radicals. The overall effect observed is that the peroxidase-like activity of SDS-modified cytochrome c decreases with an increase of the concentration of the oxidizing species (peroxynitrite or radiolytically generated hydroxyl radicals). The damage of SDS-modified cytochrome c caused by irradiation is much more significant than that observed after peroxynitrite treatment.     

Insulin resistance and serum concentrations of ovarian and adrenal androgen in obese women without additional disease and with policystic ovary syndrome

THE AIM: of the present study was to evaluate serum concentrations of adrenal and ovarian androgens and sex hormone-binding globulin in obese women without additional diseases and in obese women with polycystic ovary syndrome with and without insulin resistance. MATERIAL AND METHODS: The study group involved 73 obese women (39 with PCOS--A and 34 obese without additional diseases--B). The serum concentration of glucose and insulin were measured and the study group was divided on the basis of HOMA index into two subgroups: A I-PCO without insulin resistance (n=18, mean age 27.2+/-5.9 yr; BMI 33.2+/-3.5 kg/m2); AII-PCO with insulin resistance (n=21, mean age 27.5+/-7.1 yr; BMI 37.6+/-6.5 kg/m2); B I-obese without insulin resistance (n=8, age 33.5+/-7.5 yr; BMI 35.2+/-4.8 kg/m2); B II-obese with insulin resistance (n=24, age 30.3+/-5.2 yr; BMI 36.4+/-5.8 kg/m2). Body mass and height were measured and body mass index was calculated with formula. Body composition was measured using bioimpedance method. The serum concentrations of FSH, LH, total and free testosterone, androstendione, DHEAS, SHBG and insulin were determined by RIA method and glucose was determined by enzymatic procedure. RESULTS: We observed significantly higher body mass, fat mass and BMI in AII subgroup when compared to AI, BI and BII subgroups. Only serum concentration of free testosterone was significantly higher in AII subgroup when compared to AI subgroup. We observed a positive correlation between serum concentrations of insulin and free testosterone in both groups A and B, moreover we observed positive correlations between serum concentrations of insulin and both DHEAS and LH in group B. CONCLUSIONS: It seems that insulin resistance plays a key role in the development of hyperandrogenism in obese women. However mechanisms leading to hyperandrogenism in PCOS are still unrevealed and seem to be more complex.     

Pre-clinical drug prioritization via prognosis-guided genetic interaction networks

The high rates of failure in oncology drug clinical trials highlight the problems of using pre-clinical data to predict the clinical effects of drugs. Patient population heterogeneity and unpredictable physiology complicate pre-clinical cancer modeling efforts. We hypothesize that gene networks associated with cancer outcome in heterogeneous patient populations could serve as a reference for identifying drug effects. Here we propose a novel in vivo genetic interaction which we call 'synergistic outcome determination' (SOD), a concept similar to 'Synthetic Lethality'. SOD is defined as the synergy of a gene pair with respect to cancer patients' outcome, whose correlation with outcome is due to cooperative, rather than independent, contributions of genes. The method combines microarray gene expression data with cancer prognostic information to identify synergistic gene-gene interactions that are then used to construct interaction networks based on gene modules (a group of genes which share similar function). In this way, we identified a cluster of important epigenetically regulated gene modules. By projecting drug sensitivity-associated genes on to the cancer-specific inter-module network, we defined a perturbation index for each drug based upon its characteristic perturbation pattern on the inter-module network. Finally, by calculating this index for compounds in the NCI Standard Agent Database, we significantly discriminated successful drugs from a broad set of test compounds, and further revealed the mechanisms of drug combinations. Thus, prognosis-guided synergistic gene-gene interaction networks could serve as an efficient in silico tool for pre-clinical drug prioritization and rational design of combinatorial therapies.     

Antiproliferative activity of salinomycin and its derivatives

Antiproliferative activity of seven amides and one benzotriazole ester derivative of salinomycin, a polyether ionophore antibiotic, with recently reported antibacterial activity, are herein described. Salinomycin and the majority of derivatives exhibit potent antiproliferative activity against the drug-resistant cancer cell lines. Moreover almost all derivatives show stronger activity against LoVo/DX cell line than that of unmodified salinomycin.