The scheduling of adolescence with Netrin-1 and UNC5C.

Dopamine axons are the only axons known to grow during adolescence. Here, using rodent models, we examined how two proteins, Netrin-1 and its receptor, UNC5C, guide dopamine axons towards the prefrontal cortex and shape behaviour. We demonstrate in mice ( Mus musculus ) that dopamine axons reach the cortex through a transient gradient of Netrin-1 expressing cells - disrupting this gradient reroutes axons away from their target. Using a seasonal model (Siberian hamsters; Phodopus sungorus ) we find that mesocortical dopamine development can be regulated by a natural environmental cue (daylength) in a sexually dimorphic manner - delayed in males, but advanced in females. The timings of dopamine axon growth and UNC5C expression are always phase-locked. Adolescence is an ill-defined, transitional period; we pinpoint neurodevelopmental markers underlying this period.

[Needs assessment for the establishment of an Oral Therapy Unit]. / Évaluation des besoins pour la mise en place d'une Unité de Thérapie Orale.

INTRODUCTION: Oncological at home-treatment improves patient quality of life and autonomy but requires close watchfulness of adverse events and compliance to treatment. For nearly ten years, pharmaceutical consultations for home-based anticancer oral therapies patients are proposed on medical request in Avignon-Provence Cancer Institute (ICAP). Organizational changes led us to modify this management by integrating dedicated nurses to create an Oral Therapy Unit (OTU). MATERIALS ET METHODS: Needs and expectations assessment questionnaires were proposed to healthcare professionals and patients treated by oral therapies. The analysis of these questionnaires allows to set up an OTU, integrating a dedicated nurse, adapted to the expectations of patients and healthcare professionals. About 8 months later, a new evaluation was carried out to assess the impact of this new support for patient care and health professionals' organization. RESULTS: The results of the studies carried out before OTU implementation highlight the importance of multi-professional support for patients from the start of treatment and during the follow-up. With the new OTU pathway, professionals expect a patient course improvement (94%), a better compliance (88%), a therapeutic accidents reduction (81%) and an improvement in the patient-caregiver relationship (69%). Regarding the organization, 56% of them are expecting to save medical and pharmaceutical time. CONCLUSION: The OTU creation in our institution and these new multi-professionals' teams' management of patients has obtained a favourable opinion from healthcare professionals and patient satisfaction.

Challenges and opportunities to capture dietary effects in on-farm greenhouse gas emissions models of ruminant systems.

This paper reviews existing on-farm GHG accounting models for dairy cattle systems and their ability to capture the effect of dietary strategies in GHG abatement. The focus is on methane (CH4) emissions from enteric and manure (animal excreta) sources and nitrous oxide (N2O) emissions from animal excreta. We identified three generic modelling approaches, based on the degree to which models capture diet-related characteristics: from 'none' (Type 1) to 'some' by combining key diet parameters with emission factors (EF) (Type 2) to 'many' by using process-based modelling (Type 3). Most of the selected on-farm GHG models have adopted a Type 2 approach, but a few hybrid Type 2 / Type 3 approaches have been developed recently that combine empirical modelling (through the use of CH4 and/or N2O emission factors; EF) and process-based modelling (mostly through rumen and whole tract fermentation and digestion). Empirical models comprising key dietary inputs (i.e., dry matter intake and organic matter digestibility) can predict CH4 and N2O emissions with reasonable accuracy. However, the impact of GHG mitigation strategies often needs to be assessed in a more integrated way, and Type 1 and Type 2 models frequently lack the biological foundation to do this. Only Type 3 models represent underlying mechanisms such as ruminal and total-tract digestive processes and excreta composition that can capture dietary effects on GHG emissions in a more biological manner. Overall, the better a model can simulate rumen function, the greater the opportunity to include diet characteristics in addition to commonly used variables, and thus the greater the opportunity to capture dietary mitigation strategies. The value of capturing the effect of additional animal feed characteristics on the prediction of on-farm GHG emissions needs to be carefully balanced against gains in accuracy, the need for additional input and activity data, and the variability encountered on-farm.