Impact of dietary and microbial fatty acids on the bioavailability of phenolics

The current work addresses the possible impact of dietary and microbial fatty acids on the absorption of phenolics at the intestinal epithelium. The Caco-2 cell culture model of small intestinal enterocytes was optimised to mimic the chronic supplementation with physiological concentrations of fatty acid. Treatment with polyunsaturated fatty acids (PUFA) changed the fluidity of the brush border membrane, but this modification did not affect transepithelial transport of the test compounds caffeic acid, ferulic acid and epicatechin. PUFA supplementation did however increase paracellular diffusion of caffeic acid and epicatechin in apical to basolateral (a→b) transport direction. Epicatechin efflux was reduced by arachidonic acid and decosahexaenoic acid (DHA) supplementation, most likely by reducing either expression or activity of the ATP-binding cassette transporter family member C2. Transepithelial transport of ferulic acid in a→b direction was increased by PUFA supplementation, most likely through upregulation of an apical uptake transporter, whose identity could not be determined here. Supplementation of cells with the microbial metabolite butyric acid upregulated gene expression of monocarboxylate transporters 1 and 4, which resulted in increased ferulic acid uptake and metabolism. Metabolism of epicatechin was also affected by PUFA supplementation of cells. An unusual pattern of epicatechin glucuronidation by UDP-glucuronosyl transferase (UGT) 1A8 was observed in the intestinal cell line HT29-MTX. UGT activity was highly polarised within the cell, resulting in up to fifty times higher metabolite levels when the substrate reached the cell layer from what in vivo would be the serosal side, than from the side corresponding to the intestinal lumen. Consequent immunofluorescence staining revealed the presence of UGT1A8 in the basolateral plasma membrane. These in vitro results suggest a possible impact of dietary and microbial fatty acids on the absorption and metabolism of phenolic compounds

Different Outcomes of Experimental Hepatitis E Virus Infection in Diverse Mouse Strains, Wistar Rats, and Rabbits

Hepatitis E virus (HEV) is the causative agent of acute hepatitis E in humans in developing countries, but autochthonous cases of zoonotic genotype 3 (HEV-3) infection also occur in industrialized countries. In contrast to swine, rats, and rabbits, natural HEV infections in mice have not yet been demonstrated. The pig represents a well-established large animal model for HEV-3 infection, but a suitable small animal model mimicking natural HEV-3 infection is currently missing. Therefore, we experimentally inoculated C57BL/6 mice (wild-type, IFNAR−/−, CD4−/−, CD8−/−) and BALB/c nude (nu/nu) mice, Wistar rats, and European rabbits with a wild boar-derived HEV-3 strain and monitored virus replication and shedding, as well as humoral immune responses. HEV RNA and anti-HEV antibodies were detected in one and two out of eight of the rats and all rabbits inoculated, respectively, but not in any of the mouse strains tested. Remarkably, immunosuppressive dexamethasone treatment of rats did not enhance their susceptibility to HEV infection. In rabbits, immunization with recombinant HEV-3 and ratHEV capsid proteins induced protection against HEV-3 challenge. In conclusion, the rabbit model for HEV-3 infection may serve as a suitable alternative to the non-human primate and swine models, and as an appropriate basis for vaccine evaluation studies

Intentional sedation as a means to ease suffering: a systematically constructed terminology for sedation in palliative care

BACKGROUND: Terminology concerning sedation in palliative care is heterogeneous, vague, and difficult to apply with negative impact on the reliability of quantitative data, practice, and ethical discourse. DESIGN: To clarify the concept, we systematically developed definitions of core terms in an interdisciplinary research group comprising palliative care, ethics, law, and philosophy, integrating feedback from external experts. RESULTS: We define terms stepwise, separating matters of terminology (What is the practice?) from matters of good practice (How to use it?). We start with an operational definition of “reduced level of consciousness” (score < 0 on the Richmond Agitation-Sedation Scale modified for palliative care inpatients (RASS-PAL), followed by defining “sedating,” “sedation,” and “intentional sedation” as the result or process of sedating a patient as a means of achieving a previously defined treatment goal and the terms “light,” “deep,” “temporary,” and “sedation until death.” CONCLUSION: The terminology facilitates the precise phrasing of aims, indications, and rules for good practice. Empirical research on acceptance and feasibility is needed

Forschungsbericht zum Thema "Arbeitnehmerüberlassung": Endbericht zum 29. Mai 2009

"Das Institut für Arbeitsmarkt- und Berufsforschung der Bundesagentur für Arbeit (IAB) hat für das Bundesministerium für Arbeit und Soziales ein Forschungsvorhaben zum Thema 'Arbeitnehmerüberlassung' durchgeführt. Anlass für das Forschungsvorhaben war der Auftrag des Bundeskabinetts aus der Kabinettklausur in Meseberg im Jahr 2007 an den damaligen Bundesarbeitsminister, die Entwicklung in der Zeitarbeit zu analysieren und zu prüfen. Die Ergebnisse des Forschungsvorhabens machen deutlich, dass der Einsatz von Zeitarbeitnehmerinnen und Zeitarbeitnehmern ein Weg der Flexibilisierung des Personaleinsatzes ist, der in den vergangenen Jahren an Bedeutung gewonnen hat. Sie zeigen auch, dass die Mehrheit der Zeitarbeitnehmerinnen und Zeitarbeitnehmer unmittelbar vor der Tätigkeit in der Zeitarbeit ohne Beschäftigung war. Darüber hinaus liefert das Forschungsvorhaben keine Anhaltspunkte für eine systematische Verdrängung von Stammbelegschaften durch Zeitarbeitnehmerinnen und Zeitarbeitnehmer. Die Ergebnisse des Forschungsvorhabens sind in den Elften Bericht der Bundesregierung über Erfahrungen bei der Anwendung des Arbeitnehmerüberlassungsgesetzes eingeflossen." (Autorenreferat, IAB-Doku

Evidence for West Nile Virus and Usutu Virus Infections in Wild and Resident Birds in Germany, 2017 and 2018

Wild birds play an important role as reservoir hosts and vectors for zoonotic arboviruses and foster their spread. Usutu virus (USUV) has been circulating endemically in Germany since 2011, while West Nile virus (WNV) was first diagnosed in several bird species and horses in 2018. In 2017 and 2018, we screened 1709 live wild and zoo birds with real-time polymerase chain reaction and serological assays. Moreover, organ samples from bird carcasses submitted in 2017 were investigated. Overall, 57 blood samples of the live birds (2017 and 2018), and 100 organ samples of dead birds (2017) were positive for USUV-RNA, while no WNV-RNA-positive sample was found. Phylogenetic analysis revealed the first detection of USUV lineage Europe 2 in Germany and the spread of USUV lineages Europe 3 and Africa 3 towards Northern Germany. USUV antibody prevalence rates were high in Eastern Germany in both years. On the contrary, in Northern Germany, high seroprevalence rates were first detected in 2018, with the first emergence of USUV in this region. Interestingly, high WNV-specific neutralizing antibody titers were observed in resident and short-distance migratory birds in Eastern Germany in 2018, indicating the first signs of a local WNV circulation

Two Distinctly HLA-Associated Contiguous Linear Epitopes Uniquely Expressed Within the Islet Antigen 2 Molecule Are Major Autoantibody Epitopes of the Diabetes-Specific Tyrosine Phosphatase-Like Protein Autoantigens

AbstractThe related tyrosine phosphatase-like proteins islet Ag (IA)-2 and IA-2β are autoantigens of type 1 diabetes in humans. Autoantibodies are predominantly against IA-2, and IA-2-specific epitopes are major autoantibody targets. We used the close homology of IA-2 and IA-2β to design chimeras and mutants to identify humoral IA-2-specific epitopes. Two major IA-2 epitopes that are absent from the related autoantigens IA-2β and IA-2Δ 13 splice variant ICA512.bdc were found contiguous to each other within IA-2 juxtamembrane amino acids 611–620 (epitope JM1) and 621–630 (epitope JM2). JM1 and JM2 are recognized by sera from 67% of patients with IA-2 Abs, and relatives of patients with type 1 diabetes having Abs to either JM epitope had a &gt;50% risk for developing type 1 diabetes within 6 years, even in the absence of diabetes-associated HLA genotypes. Remarkably, the presence of Abs to one of these two epitopes was mutually exclusive of the other; JM2 Abs and not JM1 Abs were found in relatives with HLA DR3/4, DR4/13, or DR1/4 genotypes; and the binding of autoantibodies to the JM2 epitope, but not the JM1 epitope, markedly affected proteolysis of IA-2. This is a unique demonstration of HLA-associated B cell responses to epitopes within a single autoantigen in humans and is consistent with modification of Ag processing by specific Ab-influencing peptide presentation by HLA molecules

Elucidating Hidden and Enduring Weaknesses in Dust Emission Modeling

Large-scale classical dust cycle models, developed more than two decades ago, assume for simplicity that the Earth's land surface is devoid of vegetation, reduce dust emission estimates using a vegetation cover complement, and calibrate estimates to observed atmospheric dust optical depth (DOD). Consequently, these models are expected to be valid for use with dust-climate projections in Earth System Models. We reveal little spatial relation between DOD frequency and satellite observed dust emission from point sources (DPS) and a difference of up to 2 orders of magnitude. We compared DPS data to an exemplar traditional dust emission model (TEM) and the albedo-based dust emission model (AEM) which represents aerodynamic roughness over space and time. Both models overestimated dust emission probability but showed strong spatial relations to DPS, suitable for calibration. Relative to the AEM calibrated to the DPS, the TEM overestimated large dust emission over vast vegetated areas and produced considerable false change in dust emission. It is difficult to avoid the conclusion that calibrating dust cycle models to DOD has hidden for more than two decades, these TEM modeling weaknesses. The AEM overcomes these weaknesses without using masks or vegetation cover data. Considerable potential therefore exists for ESMs driven by prognostic albedo, to reveal new insights of aerosol effects on, and responses to, contemporary and environmental change projections

BioOK – a Comprehensive System for Analysis and Risk Assessment of Genetically Modified Plants

Gentechnisch veränderte (GV) Pflanzen müssen im Rahmen des Zulassungsverfahrens in der EU auf ihre potentiellen Auswirkungen auf die Umwelt und die mensch­liche oder tierische Gesundheit analysiert werden. Der gegenwärtige Zulassungsprozess ist ein Konglo­merat verschiedenster Analysemethoden und extrem zeit- und kostenaufwendig. Das Anliegen von BioOK als ein multidisziplinäres wissenschaftliches Netzwerk ist die Entwicklung von maßgeschneiderten Ansätzen zur Risikoanalyse von GV Pflanzen auf der Grundlage von Ursache-Wirkungs­hypothesen mit dem Ziel des Aufbaus eines effektiven und qualifizierten Risikobewertungssystems. Die Forschungsaktivitäten von BioOK zielen auf einen Paradigmenwechsel im aktuellen Zulassungsprozess. Sie basieren auf einem modularen System, das alle Aspekte des Risikomanagements umfasst: molekulare Charakterisierung, Inhaltsstoffanalyse, agronomische Eigenschaften, Ziel- und Nichtzielorganismen, Boden und Mikroorganismen, Toxikologie, Allergenität und Überwachung nach Markt­einführung, wobei jeder Modul unterschiedliche Analysemethoden beinhaltet. Die durch BioOK angestrebte Reform des Risikobewertungsprozesses von GV Pflanzen umfasst zwei Phasen: zunächst die Optimierung der Analysemethoden selbst und dann die Etablierung eines Entscheidungsunterstützungssystems (Test Decision System – DSS), basierend auf biologischen Schwankungsbreiten (baselines), Zeigermerkmalen (indicators) und Grenzwerten (thresholds) für jede Analysemethode. BioOK hat in einer ersten Entwicklungsphase bereits optimierte Testmethoden entwickelt: Für die Inhaltsstoffanalyse wurde die Untersuchung auf substantielle Äquivalenz durch GC-MS, LC-MS und HPLC/RI Methoden vereinfacht. Ein neu eingeführtes Analyseschema zur Ermittlung potentieller Effekte von GV Pflanzen auf den Boden kombiniert ein in vitro System zur Beprobung von Rhizodepositaten von Pflanzen, die unter kontrollierten Umweltbedingen gewachsen sind, sowie die entsprechenden Bodentypen und deren Charakterisierung mit offenen und hochsensitiven molekular-chemischen Screening und Fingerprinting-Methoden. Ein neues in vitro System zur Simulation des Transports von Substanzen aus dem Darm ins Blut, das das Risiko der Aufnahme durch Mensch oder Tier zu einem frühen Zeitpunkt misst, wurde entwickelt. Um die Effektivität und Reproduzierbarkeit von Probenahmen an der Pflanze zu erhöhen, wird ein genau definiertes Probenahmeschema entwickelt. Schließlich, in Ergänzung der aktuellen Methodik zur Allgemeinen Überwachung (General Surveillance) von GV Pflanzen im Anbau, wurde eine Herangehensweise zur Abschätzung der Notwendigkeit für ein europaweites fallspezifisches (Case Specific) Monitoring beruhend auf Ursache-Wirkungsszenarien, erarbeitet. Die zweite Phase der BioOK F&amp;E-Arbeiten konzentriert sich auf die Entwicklung eines Entscheidungsunterstützungssystems (Decision Support System, DSS). Dazu wird ein computergestütztes System implementiert, in dem alle standardisierten und validierten Methoden zu einem Entscheidungsbaum mit Knotenpunkten, definiert über biologische Schwankungsbreiten und potentielle Risiken definierenden Grenzwerten für Zeigermerkmale, zusammengeführt sind. &nbsp; &nbsp;Genetically modified (GM) plants have to be analyzed for their potential impacts on the environment and on human or animal health before authorisation by the EU. The approval process currently refers to a conglomeration of diverse analytical methods and is intensive in time and costs. The intention of BioOK as a multidisciplinary scientific network is the development of tailor-made approaches for GM plants based on a cause-effect hypothesis to obtain an effective and qualified risk assessment system. The research activity of BioOK aims to renew the current approval process. It is based on a modular system covering all aspects of risk assessment: molecular characterisation, compound analysis, agronomic traits, target and non-target organisms, soil and micro organisms, toxicology, allergenicity and post-market monitoring, each module containing several test methods. The renewal of the risk assessment procedure intended by BioOK consists of two phases: first the optimization of test methods and second the establishment of a decision support system (DSS) based on baselines, indicators and thresholds developed for each of the methods. Optimized test methods have been developed mainly during the first phase: For compound analysis methods have been developed to ease the analysis of substantial equivalence of the events by GC-MS, LC-MS and HPLC/RI. A newly introduced testing scheme for the detection of potential effects of GM plants on soil combines an in-vitro system to collect rhizodeposits from plants grown under controlled environmental conditions and the correspon­ding bulk soil, and their characterisation by untargeted and highly sensitive molecular-chemical screening and fingerprinting technique. A novel in vitro system simula­ting the transport of substances from the gut into the blood that detects the risk of incorporation in human or animal at an early time point was developed. In order to increase the effectiveness and reproducibility of the sampling procedure we developed a valid defined sampling scheme. Finally, complementing the actual General Surveillance methodology, an approach for a Europe-wide case specific monitoring referring to cause-effect sce­narios was developed. The second phase concentrates on the development of a Decision Support System (DSS). A computer-based system will implement and merge all standardized methods in a decision tree system following decision rules defined by baseline and thresholds for indicators. &nbsp; &nbsp