ALGOS: the development of a randomized controlled trial testing a case management algorithm designed to reduce suicide risk among suicide attempters

<p>Abstract</p> <p>Background</p> <p>Suicide attempts (SA) constitute a serious clinical problem. People who attempt suicide are at high risk of further repetition. However, no interventions have been shown to be effective in reducing repetition in this group of patients.</p> <p>Methods/Design</p> <p>Multicentre randomized controlled trial.</p> <p>We examine the effectiveness of «ALGOS algorithm»: an intervention based in a decisional tree of contact type which aims at reducing the incidence of repeated suicide attempt during 6 months. This algorithm of case management comprises the two strategies of intervention that showed a significant reduction in the number of SA repeaters: systematic telephone contact (ineffective in first-attempters) and «Crisis card» (effective only in first-attempters). Participants who are lost from contact and those refusing healthcare, can then benefit from «short letters» or «postcards».</p> <p>Discussion</p> <p>ALGOS algorithm is easily reproducible and inexpensive intervention that will supply the guidelines for assessment and management of a population sometimes in difficulties with healthcare compliance. Furthermore, it will target some of these subgroups of patients by providing specific interventions for optimizing the benefits of case management strategy.</p> <p>Trial Registration</p> <p>The study was registered with the ClinicalTrials.gov Registry; number: NCT01123174.</p

BrainStorm: A brain metastases research platform to tackle the challenge of central nervous system (CNS) metastases in solid tumors (Oncodistinct 006).

International audienceTPS2066 Background: Better knowledge on the evolving epidemiology and biology of CNS metastases are key elements for the development of new treatment strategies and identification of promising therapeutic targets. A multidisciplinary Brain Metastases Clinical Research Platform called BrainStorm was launched by the Jules Bordet Institute and the Oncodistinct network. The BrainStorm program includes mainly patients with non-CNS metastatic solid tumors with high risk of developing CNS metastases allowing to build a large database focusing on three time periods: before the diagnosis of CNS metastases (Part A), at diagnosis (Part B) and after the diagnosis of CNS metastases (Part C). Methods: Subjects with newly diagnosed non-CNS metastases or up to 24 months from diagnosis of non-CNS metastases from triple-negative and HER2-positive breast cancer, lung cancer and melanoma are eligible for part A of the program. Subjects presenting with a 1st CNS event and not yet enrolled (previously mentioned cohorts and a cohort of other tumor types) can enter directly in parts B and subsequently part C of the study. Eligible subjects are followed for 48 months for relevant clinical data, neurological examinations, quality of life, survival status, and undergo examinations and samplings (Table 1). A total of 280 subjects (40 per cohort) with a 1st CNS event will be enrolled. The main objectives of the program are to collect clinical and biological data with the aim to identify risk factors for CNS metastases development (Part A) and to better understand the biology of CNS metastases (brain and leptomeningeal –Parts B and C) aiming to discover new targets for therapy and intensify the multidisciplinary approach for the management of CNS metastases from solid tumors. The translational part of the program will evaluate among others the use of cerebrospinal fluid circulating tumor DNA (CSF-ctDNA) as a surrogate for CNS metastases in order to characterize its molecular landscape. Currently, the study is recruiting in several sites within the Oncodistinct network. The data collected will help to develop innovative multidisciplinary research projects that could be implemented in all parts of the BrainStorm program. Clinical trial information: NCT04109131. [Table: see text

Glycogen Dynamics Drives Lipid Droplet Biogenesis during Brown Adipocyte Differentiation

International audienceBrowning induction or transplantation of brown adipose tissue (BAT) or brown/beige adipocytes derived from progenitor or induced pluripotent stem cells (iPSCs) can represent a powerful strategy to treat metabolic diseases. However, our poor understanding of the mechanisms that govern the differentiation and activation of brown adipocytes limits the development of such therapy. Various genetic factors controlling the differentiation of brown adipocytes have been identified, although most studies have been performed using in vitro cultured pre-adipocytes. We investigate here the differentiation of brown adipocytes from adipose progenitors in the mouse embryo. We demonstrate that the formation of multiple lipid droplets (LDs) is initiated within clusters of glycogen, which is degraded through glycophagy to provide the metabolic substrates essential for de novo lipogenesis and LD formation. Therefore, this study uncovers the role of glycogen in the generation of LDs

Endospanin-2 enhances skeletal muscle energy metabolism and running endurance capacity.

Metabolic stresses such as dietary energy restriction or physical activity exert beneficial metabolic effects. In the liver, endospanin-1 and endospanin-2 cooperatively modulate calorie restriction-mediated (CR-mediated) liver adaptations by controlling growth hormone sensitivity. Since we found CR to induce endospanin protein expression in skeletal muscle, we investigated their role in this tissue. In vivo and in vitro endospanin-2 triggers ERK phosphorylation in skeletal muscle through an autophagy-dependent pathway. Furthermore, endospanin-2, but not endospanin-1, overexpression decreases muscle mitochondrial ROS production, induces fast-to-slow fiber-type switch, increases skeletal muscle glycogen content, and improves glucose homeostasis, ultimately promoting running endurance capacity. In line, endospanin-2-/- mice display higher lipid peroxidation levels, increased mitochondrial ROS production under mitochondrial stress, decreased ERK phosphorylation, and reduced endurance capacity. In conclusion, our results identify endospanin-2 as a potentially novel player in skeletal muscle metabolism, plasticity, and function

Low incidence of SARS-CoV-2, risk factors of mortality and the course of illness in the French national cohort of dialysis patients

International audienceThe aim of this study was to estimate the incidence of COVID-19 disease in the French national population of dialysis patients, their course of illness and to identify the risk factors associated with mortality. Our study included all patients on dialysis recorded in the French REIN Registry in April 2020. Clinical characteristics at last follow-up and the evolution of COVID-19 illness severity over time were recorded for diagnosed cases (either suspicious clinical symptoms, characteristic signs on the chest scan or a positive reverse transcription polymerase chain reaction) for SARS-CoV-2. A total of 1,621 infected patients were reported on the REIN registry from March 16th, 2020 to May 4th, 2020. Of these, 344 died. The prevalence of COVID-19 patients varied from less than 1% to 10% between regions. The probability of being a case was higher in males, patients with diabetes, those in need of assistance for transfer or treated at a self-care unit. Dialysis at home was associated with a lower probability of being infected as was being a smoker, a former smoker, having an active malignancy, or peripheral vascular disease. Mortality in diagnosed cases (21%) was associated with the same causes as in the general population. Higher age, hypoalbuminemia and the presence of an ischemic heart disease were statistically independently associated with a higher risk of death. Being treated at a selfcare unit was associated with a lower risk. Thus, our study showed a relatively low frequency of COVID-19 among dialysis patients contrary to what might have been assumed