Occurrence and Treatment of Bone Atrophic Non-Unions Investigated by an Integrative Approach

Recently developed atrophic non-union models are a good representation of the clinical situation in which many nonunions develop. Based on previous experimental studies with these atrophic non-union models, it was hypothesized that in order to obtain successful fracture healing, blood vessels, growth factors, and (proliferative) precursor cells all need to be present in the callus at the same time. This study uses a combined in vivo-in silico approach to investigate these different aspects (vasculature, growth factors, cell proliferation). The mathematical model, initially developed for the study of normal fracture healing, is able to capture essential aspects of the in vivo atrophic non-union model despite a number of deviations that are mainly due to simplifications in the in silico model. The mathematical model is subsequently used to test possible treatment strategies for atrophic non-unions (i.e. cell transplant at post-osteotomy, week 3). Preliminary in vivo experiments corroborate the numerical predictions. Finally, the mathematical model is applied to explain experimental observations and identify potentially crucial steps in the treatments and can thereby be used to optimize experimental and clinical studies in this area. This study demonstrates the potential of the combined in silico-in vivo approach and its clinical implications for the early treatment of patients with problematic fractures

Rapid draft sequencing and real-time nanopore sequencing in a hospital outbreak of Salmonella

Background: Foodborne outbreaks of Salmonella remain a pressing public health concern. We recently detected a large outbreak of Salmonella enterica serovar Enteritidis phage type 14b affecting more than 30 patients in our hospital. This outbreak was linked to community, national and European-wide cases. Hospital patients with Salmonella are at high risk, and require a rapid response. We initially investigated this outbreak by whole-genome sequencing using a novel rapid protocol on the Illumina MiSeq; we then integrated these data with whole-genome data from surveillance sequencing, thereby placing the outbreak in a national context. Additionally, we investigated the potential of a newly released sequencing technology, the MinION from Oxford Nanopore Technologies, in the management of a hospital outbreak of Salmonella. Results: We demonstrate that rapid MiSeq sequencing can reduce the time to answer compared to the standard sequencing protocol with no impact on the results. We show, for the first time, that the MinION can acquire clinically relevant information in real time and within minutes of a DNA library being loaded. MinION sequencing permits confident assignment to species level within 20 min. Using a novel streaming phylogenetic placement method samples can be assigned to a serotype in 40 min and determined to be part of the outbreak in less than 2 h. Conclusions: Both approaches yielded reliable and actionable clinical information on the Salmonella outbreak in less than half a day. The rapid availability of such information may facilitate more informed epidemiological investigations and influence infection control practices

Optimizing Classification of Drug-Drug Interaction Potential for CYP450 Iso-Enzymes Inhibition Assays in Early Drug Discovery.

In drug discovery, the potential of cytochrome P450 inhibition of new chemical entities (NCEs) is frequently quantified in terms of IC50 values. In early drug discovery a risk-classification into low, medium or high potential inhibitors is often sufficient for ranking and prioritizing of compounds. While often six or more inhibitor concentrations are used to determine the IC50 value, the question arises whether it is possible to predict the risk-class based on fewer inhibitor concentrations with comparable reliability. In the present article we propose a new integrated twopoint method with inhibitor concentrations chosen in accordance with the risk-classification. We analyse its predictive power and the feasibility to not only classify the compounds into different risk classes but also rank those compounds that have been binned into the middle risk class. The proposed integrated two point method is thus highly suitable for automation. Altogether it maintains the quality of the prediction while considerably reducing time and cost. The proposed method is applicable to other IC50 assays and risk classifications

Revista de educación

Resumen tomado del autor. Resumen en castellano e inglés. Notas a pie de página. Este artículo se incluye en el monográfico 'El aprendizaje: nuevas aportaciones'Este trabajo da a conocer las reflexiones que sus autores vienen desarrollando en determinados encuentros académicos sobre los procesos de enseñanza-aprendizaje. Más allá de las diferentes perspectivas, teorías, modelos y metodologías que se ofrecen en los diversos planteamientos del aprendizaje humano, los autores han considerado la necesidad de sistematizar los conceptos que fundamentan y generan todas esas perspectivas, aunándolas en su origen. En torno a la diversificación de métodos, estrategias y técnicas de aprendizaje como respuesta a una de las preguntas claves de 'cómo aprender', los autores buscan el origen en dos actitudes y tareas fundamentales: a) aprender a procesar y estructurar información, y b) desarrollar actitudes de apertura a la interacción y retroalimentación. Por ello, junto a esa pregunta que consideran clave, y siguiendo el mismo procedimiento de respuesta, los autores elevan a la misma categoría otras tres preguntas prioritarias que dan sentido y orientan la anterior, reflexionando también a su vez sobre 'por qué', 'para qué' y 'qué aprender'. Las respuestas a estas cuatro preguntas forman una visión unificada del proceso de enseñanza-aprendizaje, en el que se inician, y del que se diversifican los diferentes itinerarios aplicados.MadridBiblioteca de Educación del Ministerio de Educación, Cultura y Deporte; Calle San Agustín, 5 - 3 Planta; 28014 Madrid; Tel. +34917748000; [email protected]

Sagopilone crosses the blood–brain barrier in vivo to inhibit brain tumor growth and metastases

The aim of this study was to determine the efficacy of sagopilone (ZK-EPO), a novel epothilone, compared with other anticancer agents in orthotopic models of human primary and secondary brain tumors. Autoradiography and pharmacokinetic analyses were performed on rats and mice to determine passage across the blood–brain barrier and organ distribution of sagopilone. Mice bearing intracerebral human tumors (U373 or U87 glioblastoma, MDA-MB-435 melanoma, or patient-derived non-small-cell lung cancer [NSCLC]) were treated with sagopilone 5–10 mg/kg, paclitaxel 8–12.5 mg/kg (or temozolomide, 100 mg/kg) or control (vehicle only). Tumor volume was measured to assess antitumor activity. Sagopilone crossed the blood–brain barrier in both rat and mouse models, leading to therapeutically relevant concentrations in the brain with a long half-life. Sagopilone exhibited significant antitumor activity in both the U373 and U87 models of human glioblastoma, while paclitaxel showed a limited effect in the U373 model. Sagopilone significantly inhibited the growth of tumors from CNS metastasis models (MDA-MB-435 melanoma and patient-derived Lu7187 and Lu7466 NSCLC) implanted in the brains of nude mice, in contrast to paclitaxel or temozolomide. Sagopilone has free access to the brain. Sagopilone demonstrated significant anti-tumor activity in orthotopic models of both glioblastoma and CNS metastases compared with paclitaxel or temozolomide, underlining the value of further research evaluating sagopilone in the treatment of brain tumors. Sagopilone is currently being investigated in a broad phase II clinical trial program, including patients with glioblastoma, NSCLC, breast cancer, and melanoma

Systematic Analysis of the Whole-Body Tissue Distribution and Fatty Acid Compositions of Membrane Lipids in CD1 and NMRI Mice and Wistar Rats

Understanding the tissue distribution of phospholipids and glycerolipids in animal models enables promoting the pharmacokinetic study of drugs and related PK predictions. The measurement of lipid compositions in animal models, usually mice and rats, without a standardized approach hindered the accuracy of PBPK investigation. In this work, high resolution mass spectrometry was applied to profile the tissue distribution of phospholipids and glycerolipids in 12 organs/tissues of mice and rats. Using this method, not only the amounts of phospholipids and glycerolipids in each organ/tissue but also the fatty acid compositions were acquired. In order to explore the interspecies specificity of lipid distribution in different organs/tissues, three animal species including CD1 mice, NMRI mice, and Wister rats were used in this systematic study. Globally, more organ specificity was observed. It was found that the brain is the organ containing the most abundant phosphatidylserine lipids (PSs) in all three animal models, leading to brain tissues having the most concentrated acidic phospholipids. Diverse fatty acid compositions in each lipid class were clearly revealed. Certain tissues/organs also had a specific selection of unique fatty acid compositions, for example, unreferenced FA(18 : 2) in the brain. It turned out that the access of free fatty acids affects the incorporation of acyl chain in phospholipids and glycerolipids. In the analysis, ether lipids were also profiled with the observation of dominant ePEs in brain tissues. However, little interspecies difference was found for fatty acid constituents and tissues distribution of phospholipids and glycerolipids