A frequent mechanism for drug-induced liver injury (DILI) is mitochondrial impairment, and early evaluation of new drugs for their potential to cause mitochondrial dysfunction is becoming an important task for drug development. To this end, we designed a high-content screening assay to study mitochondrial-induced hepatotoxicity in HepG2 cells in detail. Simultaneous assessment of mitochondrial mass and cell viability in cells exposed for 24 h to compounds provides preliminary information on the mitochondrial- or nonmitochondrial-related hepatotoxic potential of compounds. To fully address the mechanisms implicated in mitochondrial impairment, prelethal changes in mitochondrial superoxide production, mitochondrial membrane potential, mitochondrial permeability transition, intracellular calcium concentration and apoptotic cell death were studied in cells incubated for 1 h with compounds. The assay correctly classified a set of well-known mitochondrial toxicants and negative controls and revealed high sensitivity for the detection of mitochondrial DILI and the establishment of different mitochondrial toxicity risks (low to high). This procedure was used for analysing the potential mitochondrial impairment of six statins to determine their clinical risk. All the tested statins produced mitochondrial impairment, although they showed different levels of toxicity (low-medium toxicity risk). The results suggest that this cell-based assay is a promising in vitro approach to predict the potential of drug candidates to induce mitochondrial-associated hepatotoxicity.

Fas plays a major role in regulating ligand-induced apoptosis in many cell types. It is well known that several cancers demonstrate reduced cell surface levels of Fas and thus escape a potential control system via ligand-induced apoptosis, although underlying mechanisms are unclear. Here we report that the endosome associated trafficking regulator 1 (ENTR1), controls cell surface levels of Fas and Fas-mediated apoptotic signalling. ENTR1 regulates, via binding to the coiled coil domain protein Dysbindin, the delivery of Fas from endosomes to lysosomes thereby controlling termination of Fas signal transduction. We demonstrate that ENTR1 is cleaved during Fas-induced apoptosis in a caspase-dependent manner revealing an unexpected interplay of apoptotic signalling and regulation of endolysosomal trafficking resulting in a positive feedback signalling-loop. Our data provide insights into the molecular mechanism of Fas post-endocytic trafficking and signalling, opening possible explanations on how cancer cells regulate cell surface levels of death receptors.

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The Development of Robust and Innovative Vaccine Effectiveness (DRIVE) project is a public–private partnership aiming to build capacity in Europe for yearly estimation of brand-specific influenza vaccine effectiveness (IVE). DRIVE is a five-year project funded by IMI (Innovative Medicines Initiative). It was initiated as a response to the guidance on influenza vaccines by EMA (European Medicines Agency), which advised vaccine manufacturers to work with public health institutes to set up a joint IVE study platform. The COVID-19 pandemic reached Europe in February 2020 and overlapped with the 2019/2020 influenza season only in the last weeks. However, several elements of the DRIVE study network were impacted. The pandemic specifically affected the study sites’ routines and the subsequent assessment of the 2019/20 influenza season. Moreover, the current social distancing measures and lockdown policies across Europe are expected to also limit the circulation of influenza for the 2020/21 season, and therefore the impact of COVID-19 will be higher than in the season 2019/20. Consequently, DRIVE has planned to adapt its study platform to the COVID-19 challenge, encompassing several COVID-19 particularities in the study procedures, data collection and IVE analysis for the 2020/21 season. DRIVE will study the feasibility of implementing these COVID-19 components and establish the foundations of future COVID-19 vaccine effectiveness studies.

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Post-marketing safety surveillance of new vaccines aimed to be administered during pregnancy is crucial to orchestrate efficient adverse events evaluation. This is of special relevance in the current landscape of new vaccines being introduced in the pregnant women population, and particularly due to the recent administration of COVID-19 vaccines in pregnant women. This multi-center prospective cohort study, nested within the WHO-Global Vaccine Safety-MCC study, involved two hospitals in the Valencia region. Hereby, the incidence rates of seven perinatal and neonatal outcomes in the Valencia region are presented. The pooled data analysis of the two Valencian hospitals allowed the estimation of incidence rates in the Valencia Region (per 1000 live births): 86.7 for low birth weight, 78.2 for preterm birth, 58.8 for small for gestational age, 13 for congenital microcephaly, 0.4 for stillbirth, 1.2 for neonatal death and 6.5 for neonatal infection. These figures are in line with what is expected from a high-income country and the previously reported rates for Spain and Europe, except for the significantly increased rate for congenital microcephaly. Regarding the data for maternal immunization, the vaccination status was collected for 94.4% of the screened pregnant women, highlighting the high quality of the Valencian Vaccine Registry. The study also assessed the Valencian hospitals’ capacity for identifying and collecting data on maternal immunization status, as well as the applicability of the GAIA definitions to the identified outcomes.

With the information supplied by the Survey of Living Conditions for each of the years of the 2004-2009, we realize a study of vulnerability to social exclusion of the adult resident population in Spain. Using the techniques of factor analysis we identify key factors that generate social exclusion in Spain each year and we identify vulnerable individuals. With analysis cluster, we obtain the profile of these individuals based on different variables. In addition, the risk has been estimated to the social exclusion for several social groups, using different indicators

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