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juvenile fishes especially in species targeted by local artisanal fishers. We also showed that the loss of trait diversity is greater than the loss of species diversity through the comparison of taxonomic and trait β-diversity, further emphasizing the importance of trait diversity analysis in understanding ecosystem health and maintenance.Nutrient uptake and digestion are essential for optimal growth and development. In insects, these processes are regulated by the gut-brain axis, which is a neurohumoral communication system for maintaining gut homeostasis. The insect gut is a complex organ consisting of three distinct structures, denominated foregut, midgut and hindgut, each with their specific specializations. These specializations are tightly regulated by the interplay of several neuropeptides a versatile group of signalling molecules involved in a multitude of processes including gut physiology. Neuropeptides take part in the regulation of gut processes ranging from digestive enzyme release to muscle activity and satiety. Some neuropeptide mimetics are a promising strategy for ecological pest management. This review focuses on a selection of neuropeptides that are well-known for their role in gut physiology, and neuropeptides for which the mode of action is yet to be unravelled.Global concern exists regarding human exposure to organic pollutants derived from public open spaces and indoor dust. This study has evaluated the occurrence of 18 polycyclic aromatic hydrocarbons (PAHs), 11 organophosphorus flame retardants (OPFRs) and bisphenol A (BPA). To achieve this, a new simple, efficient and fast multi-residue analytical method based on a fully automated pressurised liquid extraction (PLE) and subsequent quantification by gas chromatography coupled to electron ionization-mass spectrometry (GC-EI-MS) in selected ion monitoring (SIM) mode was developed. The developed method was applied to indoor dust (12 sampling households) and soil derived from two public open spaces (POSs). Among all compounds studied, PAHs were the most ubiquitous contaminants detected in POS soils and indoor dust although some OPFRs and BPA were detected in lower concentrations. An assessment of the incremental lifetime cancer risk (ILCR) was done and indicated a high potential cancer risk from the POS sites and some of the indoor dust sampled sites. selleck kinase inhibitor However, key variables, such as the actual exposure duration, frequency of contact and indoor cleaning protocols will significantly reduce the potential risk. Finally, the ingestion of soils and indoor dust contaminated with OPFRs and BPA was investigated and noted in almost all cases to be below the USEPA reference doses.Understanding the subsurface transport of perfluorooctanoic acid (PFOA) is of considerable interest for evaluating its potential risks to humans and ecosystems. In this study, packed-column experiments were conducted to examine the influence of surface roughness on PFOA transport in unsaturated glass beads, quartz sand and limestone porous media. Results showed decreasing moisture content significantly increased the air-water interfacial adsorption of PFOA and led to greater retardation in all three types of porous media. Particularly, rougher surface (limestone > quartz sand > glass beads) and smaller grain size (i.e. a larger solid specific surface area, SSSA) significantly enhanced PFOA retardation under unsaturated conditions. These results were further supported by bubble column experiments and SSSA analysis of porous media, which demonstrate that except for the factors affecting PFOA transport in solid-water interface (e.g. surface charge and chemical heterogeneity), the greater retardation of PFOA during transport is attributed to the larger air-water interfacial areas associated with rougher surface and smaller grain size and hence greater interfacial adsorption of PFOA. Our results indicated the importance of surface roughness on the retention and transport of PFOA in the unsaturated zone.

Clinical staging model for depression helps to better define the clinical situation of patients. The objectives of this study are to correlate the Hetrick's staging model of depression with the severity of depression, associated disability, and resistance to treatment in the established disease stages and to test the modification introduced by our group consisting in the introduction of a substage for recurrence from a previous episode that was stabilized with a complete remission.

A Cross-sectional study with 133 adult subjects having a current and primary diagnosis of Depressive disorder was developed. Patients were classified according to the model and assessed with 17-item Hamilton Depression Scale (HAM-D), Clinical Global Impression (CGI); Global Assessment of Function (GAF); Maudsley Staging Method for treatment resistance (MSM) and Sheeham Disability Schedule (SDS).

The variable that best contributes to the differentiation between clinical stages, in established Depression, is resistance to treatment evaluated by the MSM. Correlations between MSM and the clinical stages were statistically significant between most pairs of stages. Finally, we showed preliminary data in order to prove that a differential sub-stage for recurrent depression with and without inter-episodic remission in the current heuristic models could be a possible stage for better define depression staging model.

Resistance to treatment should be included in the definition of clinical stages in established depression. Despite the difficulty of establishing a valid model for the staging of depression, it can certainly add great value to diagnosis, therapeutic interventions and clinical research.

Resistance to treatment should be included in the definition of clinical stages in established depression. Despite the difficulty of establishing a valid model for the staging of depression, it can certainly add great value to diagnosis, therapeutic interventions and clinical research.Recently, metabolomics analyses have become increasingly common in the general scientific community as it is applied in several researches relating to diseases diagnosis. Identification and quantification of small molecules belonging to metabolism in biological systems have an important role in diagnosis of diseases. The combination of chromatography with mass spectrometry is used for the accurate and reproducible analysis of hundreds to thousands of metabolites in biological fluids or tissue samples. The number of metabolites that can be identified in biological fluids or tissue varies according to the gas (GC) or liquid (LC) chromatographic techniques used. The cover of these chromatographic techniques also differs from each other based on the metabolite group (polar, lipids, organic acid etc.). Consequently, some of the metabolites can only be analyzed using either GC or LC. However, more than one metabolite or metabolite group may be found altered in a particular disease. Thus, in order to find these alterations, metabolomics analyses that cover a wide range of metabolite groups are usually applied.