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Type I interferons (IFNs), including IFN-α, upregulate an array of IFN-stimulated genes (ISGs) and potently suppress Human immunodeficiency virus type 1 (HIV-1) infectivity in CD4(+) T cells, monocyte-derived macrophages, and dendritic cells. Recently, we and others identified ISG myxovirus resistance 2 (MX2) as an inhibitor of HIV-1 nuclear entry. However, additional antiviral blocks exist upstream of nuclear import, but the ISGs that suppress infection, e.g., prior to (or during) reverse transcription, remain to be defined. We show here that the HIV-1 CA mutations N74D and A105T, both of which allow escape from inhibition by MX2 and the truncated version of cleavage and polyadenylation specific factor 6 (CPSF6), as well as the cyclophilin A (CypA)-binding loop mutation P90A, all increase sensitivity to IFN-α-mediated inhibition. Using clustered regularly interspaced short palindromic repeat (CRISPR)/Cas9 technology, we demonstrate that the IFN-α hypersensitivity of these mutants in THP-1 cells is independent of MX2 or CPSF6. As expected, CypA depletion had no additional effect on the behavior of the P90A mutant but modestly increased the IFN-α sensitivity of wild-type virus. Interestingly, the infectivity of wild-type or P90A virus could be rescued from the MX2-independent IFN-α-induced blocks in THP-1 cells by treatment with cyclosporine (Cs) or its nonimmunosuppressive analogue SDZ-NIM811, indicating that Cs-sensitive host cell cyclophilins other than CypA contribute to the activity of IFN-α-induced blocks. We propose that cellular interactions with incoming HIV-1 capsids help shield the virus from recognition by antiviral effector mechanisms. Thus, the CA protein is a fulcrum for the dynamic interplay between cell-encoded functions that inhibit or promote HIV-1 infection.
Medium range hydrological forecasts in mesoscale catchments are only possible with the use of hydrological models driven by meteorological forecasts, which in particular contribute quantitative precipitation forecasts (QPF). QPFs are accompanied by large uncertainties, especially for longer lead times, which are propagated within the hydrometeorological model system. To deal with this limitation of predictability, a probabilistic forecasting system is tested, which is based on a hydrological-meteorological ensemble prediction system. The meteorological component of the system is the operational limited-area ensemble prediction system COSMO-LEPS that downscales the global ECMWF ensemble to a horizontal resolution of 10 km, while the hydrological component is based on the semi-distributed hydrological model PREVAH with a spatial resolution of 500 m.
Earlier studies have mostly addressed the potential benefits of hydrometeorological ensemble systems in short case studies. Here we present an analysis of hydrological ensemble hindcasts for two years (2005 and 2006). It is shown that the ensemble covers the uncertainty during different weather situations with an appropriate spread-skill relationship. The ensemble also shows advantages over a corresponding deterministic forecast, even under consideration of an artificial spread.
Volatile organic compounds (VOCs) were analyzed in air and snow samples at the Jungfraujoch high alpine research station in Switzerland as part of CLACE 5 (CLoud and Aerosol Characterization Experiment) during February/March 2006. The fluxes of individual compounds in ambient air were calculated from gas phase concentrations and wind speed. The highest flux values were observed for the aromatic hydrocarbons benzene (14.3 µg m−2s−1), 1,3,5-trimethylbenzene (5.27 µg m−2s−1), toluene (4.40 µg m−2s−1), and the aliphatic hydrocarbons i-butane (7.87 µg m−2s−1), i-pentane (3.61 µg m−2s−1) and n-butane (3.23 µg m−2s−1). The fluxes were used to calculate the efficiency of removal of VOCs by snow, and the effect of temperature on removal efficiency. The removal efficiency was calculated at – 24◦C (−13.7◦C) and ranged from 37% (35%) for o-xylene to 93% (63%) for i-pentane. The distribution coefficients of VOCs between the air and snow phases were derived from published poly-parameter linear free energy relationship (pp-LFER) data, and compared with distribution coef- ficients obtained from the simultaneous measurements of VOC concentrations in air and snow at Jungfraujoch. The coefficients calculated from pp-LFER exceeded those values measured in the present study, which indicates more efficient snow scavenging of the VOCs investigated than suggested by theoretical predictions.
We explored the characteristics and motivations of people who, having obtained their genetic or genomic data from Direct-To-Consumer genetic testing (DTC-GT) companies, voluntarily decide to share them on the publicly accessible web platform openSNP. The study is the first attempt to describe open data sharing activities undertaken by individuals without institutional oversight. In the paper we provide a detailed overview of the distribution of the demographic characteristics and motivations of people engaged in genetic or genomic open data sharing. The geographical distribution of the respondents showed the USA as dominant. There was no significant gender divide, the age distribution was broad, educational background varied and respondents with and without children were equally represented. Health, even though prominent, was not the respondents’ primary or only motivation to be tested. As to their motivations to openly share their data, 86.05% indicated wanting to learn about themselves as relevant, followed by contributing to the advancement of medical research (80.30%), improving the predictability of genetic testing (76.02%) and considering it fun to explore genotype and phenotype data (75.51%). Whereas most respondents were well aware of the privacy risks of their involvement in open genetic data sharing and considered the possibility of direct, personal repercussions troubling, they estimated the risk of this happening to be negligible. Our findings highlight the diversity of DTC-GT consumers who decide to openly share their data. Instead of focusing exclusively on health-related aspects of genetic testing and data sharing, our study emphasizes the importance of taking into account benefits and risks that stretch beyond the health spectrum. Our results thus lend further support to the call for a broader and multi-faceted conceptualization of genomic utility.
In evidence-based weight-loss programs weight regain is common after an initial weight reduction. Eating slowly significantly lowers meal energy intake and hunger ratings. Despite this knowledge, obese individuals do not implement this behaviour. We, thus tested the hypothesis of changing eating behaviour with an intra-oral medical device leading to constant weight reduction in overweight and obesity.
Six obese patients (6 men, age 56 ± 14, BMI 29 ± 2 kg / m2) with increased CVRF profile were included in this prospective study. All patients had been treated for obesity during the last 10 years in a single centre and had at least 3 frustrate evidence-based diets. Patients received a novel non-invasive intra-oral medical device to slow eating time. Further advice included not to count calories, to avoid any other form of diet, to take their time with their meals, and to eat whatever they liked.
This device was used only during meals for the first 4 to 8 weeks for a total of 88 [20–160] hours. Follow-up period was 23 [15–38] months. During this period, patients lost 11% [5–20%] (p<0.001) of their initial weight. At 12 months, all patients had lost >5%, and 67% (4/6) achieved a >10% bodyweight loss. In the course of the study, altered eating patterns were observed. There were no complications with the medical device. Of note, all patients continued to lose weight after the initial intervention period (p<0.001) and none of them had weight regain.
With this medical device, overweight and obese patients with a history of previously frustrating attempts to lose weight achieved a significant and sustained weight loss over two years. These results warrant the ongoing prospective randomised controlled trial to prove concept and mechanism of action.
Ziel der vorliegenden Arbeit war es, vor- und nachbereitenden Unterricht zu Biodiversitätsführungen an den vier außerschulischen Lernorten Palmengarten, Senckenbergmuseum, Stadtwaldhaus und Zoo Frankfurt zu evaluieren. Durch den Unterricht mithilfe neu entwickelter Arbeitsmaterialien sollte die aktuelle Motivation der Schüler und weitere pädagogisch-psychologische Lernvariablen gefördert werden. Es stellte sich die Frage, ob so eine erhöhte Auseinandersetzung mit dem Themenkomplex Biodiversität erreicht werden kann und welche Einflussfaktoren dabei eine Rolle spielen.
Theoretische Grundlage war dabei das Risikowahlmodell der Leistungsmotivation nach Atkinson, das von Rheinberg zum handlungstheoretischen Modell der Motivation erweitert wurde (Rheinberg & Vollmeyer, 2012). Auf dieses bezieht sich der von Rheinberg et al. (2001) entwickelte und hier eingesetzte Fragebogen zur aktuellen Motivation (FAM).
Die Stichprobe setzte sich aus insgesamt 523 Schülern der Klassen 5 bis 9 zusammen. Davon nahm jeweils die Hälfte mit (Versuchsgruppe) und die andere ohne (Kontrollgruppe) vor- und nachbereitendem Unterricht an den Biodiversitätsführungen teil. Die Erhebung der aktuellen Motivation, des erworbenen Fachwissens und weiterer Variablen erfolgte in einem Pre/Post/Follow-Up-Design mit Fragebögen, deren Auswertung analytisch statistisch durgeführt wurde.
Es zeigte sich, dass in der Gesamtstichprobe die Teilnahme an der Biodiversitätsführung die aktuelle Motivation der Schüler erhöhte. Dauerhafte Lernparameter wie die Biologieeinstellung und die Interessenshandlung wurden jedoch nicht signifikant verändert. Ein eindeutiger Effekt der unterrichtlichen Vorbereitung konnte jedoch nicht ermittelt werden. Einzig beim gemessen Fachwissen zu den Führungsinhalten schnitt die Versuchsgruppe signifikant besser ab. Insgesamt wird angenommen, dass der Effekt des Besuchs des außerschulischen Lernortes an sich den Effekt der Vor- und Nachbereitung überdeckt oder vom Einfluss anderer Parameter beeinflusst wird. Hier stach besonders das Alter der Jugendlichen hervor, das vor allem in der hier evaluierten Schülergruppe bedingt durch die Pubertät eine große Rolle spielt. Weitere Einflussfaktoren waren die Biologieeinstellung und die Unterrichtsvariablen der Führung. In den Stichproben der einzelnen außerschulischen Lernorte zeigten sich leichte Abweichungen von der Gesamtstichprobe. Diese waren meist auf die leicht unterschiedliche Zusammensetzung der Stichproben zurückzuführen. Aber auch Besonderheiten der Lernorte hatten dabei ein bedeutendes Gewicht.
Bezüglich der Lernbedingungen für die Lernorte ließen sich aus den Ergebnissen vor allem zwei Komponenten ermitteln: Zum einen die Architektur/räumliche Struktur der Lernorte. Hier können Faktoren wie drinnen/ draußen, Größe und die räumliche Orientierung unterschieden werden. All dies hat Auswirkungen auf das physische Wohlbefinden der Schüler, was wiederum eine Voraussetzung für eine hohe Lernmotivation ist. Die andere Hauptkomponente ist das am Lernort behandelte Thema. Hier kann grob zwischen Pflanzen und Tieren unterschieden werden. Pflanzen wurden dabei in mehreren Studien von den Schülern als weniger attraktiv eingeschätzt. Trotzdem sollten aber die Möglichkeiten, auch botanische Themen außerhalb der Schule zu behandeln, von den Lehrkräften zur Vermittlung biologischer Vielfalt genutzt werden.
Als Konsequenz der Ergebnisse kann der Besuch eines außerschulischen Lernrotes im Biologieunterricht bezüglich der Förderung der Lernmotivation unbedingt empfohlen werden. Da kein klarer Effekt des vor- und nachbereitenden Unterrichts der Biodiversitätsführungen erkennbar war, wären hier weitere Untersuchungen vonnöten, um genauere Aussagen machen zu können. Hier böten sich Studien mit Schülern anderer Altersgruppen und der Vergleich nur zweier außerschulischer Lernorte an.