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Homeodomain proteins are encoded by homeobox genes and regulate development and differentiation in many neuronal systems. The mouse vomeronasal organ (VNO) generates in situ mature chemosensory neurons from stem cells. The roles of homeodomain proteins in neuronal differentiation in the VNO are poorly understood. Here we have characterized the expression patterns of 28 homeobox genes in the VNO of C57BL/6 mice at postnatal stages using multicolor fluorescent in situ hybridization. We identified 11 homeobox genes (Dlx3, Dlx4, Emx2, Lhx2, Meis1, Pbx3, Pknox2, Pou6f1, Tshz2, Zhx1, Zhx3) that were expressed exclusively in neurons; 4 homeobox genes (Pax6, Six1, Tgif1, Zfhx3) that were expressed in all non-neuronal cell populations, with Pax6, Six1 and Tgif1 also expressed in some neuronal progenitors and precursors; 12 homeobox genes (Adnp, Cux1, Dlx5, Dlx6, Meis2, Pbx2, Pknox1, Pou2f1, Satb1, Tshz1, Tshz3, Zhx2) with expression in both neuronal and non-neuronal cell populations; and one homeobox gene (Hopx) that was exclusively expressed in the non-sensory epithelium. We studied further in detail the expression of Emx2, Lhx2, Meis1, and Meis2. We found that expression of Emx2 and Lhx2 initiated between neuronal progenitor and neuronal precursor stages. As far as the sensory neurons of the VNO are concerned, Meis1 and Meis2 were only expressed in the apical layer, together with Gnai2, but not in the basal layer.
Infectious diseases remain a remarkable health threat for humans and animals. In the past, the epidemiology, etiology and pathology of infectious agents affecting humans and animals have mostly been investigated in separate studies. However, it is evident, that combined approaches are needed to understand geographical distribution, transmission and infection biology of “zoonotic agents”. The genus Bartonella represents a congenial example of the synergistic benefits that can arise from such combined approaches: Bartonella spp. infect a broad variety of animals, are linked with a constantly increasing number of human diseases and are transmitted via arthropod vectors. As a result, the genus Bartonella is predestined to play a pivotal role in establishing a One Health concept combining veterinary and human medicine.
Criticality meets learning : criticality signatures in a self-organizing recurrent neural network
(2017)
Many experiments have suggested that the brain operates close to a critical state, based on signatures of criticality such as power-law distributed neuronal avalanches. In neural network models, criticality is a dynamical state that maximizes information processing capacities, e.g. sensitivity to input, dynamical range and storage capacity, which makes it a favorable candidate state for brain function. Although models that self-organize towards a critical state have been proposed, the relation between criticality signatures and learning is still unclear. Here, we investigate signatures of criticality in a self-organizing recurrent neural network (SORN). Investigating criticality in the SORN is of particular interest because it has not been developed to show criticality. Instead, the SORN has been shown to exhibit spatio-temporal pattern learning through a combination of neural plasticity mechanisms and it reproduces a number of biological findings on neural variability and the statistics and fluctuations of synaptic efficacies. We show that, after a transient, the SORN spontaneously self-organizes into a dynamical state that shows criticality signatures comparable to those found in experiments. The plasticity mechanisms are necessary to attain that dynamical state, but not to maintain it. Furthermore, onset of external input transiently changes the slope of the avalanche distributions – matching recent experimental findings. Interestingly, the membrane noise level necessary for the occurrence of the criticality signatures reduces the model’s performance in simple learning tasks. Overall, our work shows that the biologically inspired plasticity and homeostasis mechanisms responsible for the SORN’s spatio-temporal learning abilities can give rise to criticality signatures in its activity when driven by random input, but these break down under the structured input of short repeating sequences.
Background: Currently, there is inadequate evidence on which to base clinical management of neurotoxic snakebite envenoming, especially in the choice of initial antivenom dosage. This randomised controlled trial compared the effectiveness and safety of high versus low initial antivenom dosage in victims of neurotoxic envenoming.
Methodology/ Principal findings: This was a balanced, randomised, double-blind trial that was conducted in three health care centers located in the Terai plains of Nepal. Participants received either low (two vials) or high (10 vials) initial dosage of Indian polyvalent antivenom. The primary composite outcome consisted of death, the need for assisted ventilation and worsening/recurrence of neurotoxicity. Hourly evaluations followed antivenom treatment. Between April 2011 and October 2012, 157 snakebite victims were enrolled, of which 154 were analysed (76 in the low and 78 in the high initial dose group). Sixty-seven (43·5%) participants met the primary outcome definition. The proportions were similar in the low (37 or 48.7%) vs. high (30 or 38.5%) initial dose group (difference = 10·2%, 95%CI [-6·7 to 27·1], p = 0·264). The mean number of vials used was similar between treatment groups. Overall, patients bitten by kraits did worse than those bitten by cobras. The occurrence of treatment-related adverse events did not differ among treatment groups. A total of 19 serious adverse events occurred, including seven attributed to antivenom.
Conclusions: This first robust trial investigating antivenom dosage for neurotoxic snakebite envenoming shows that the antivenom currently used in Nepal performs poorly. Although the high initial dose regimen is not more effective than the low initial dose, it offers the practical advantage of being a single dose, while not incurring higher consumption or enhanced risk of adverse reaction. The development of new and more effective antivenoms that better target the species responsible for bites in the region will help improve future patients’ outcomes.
Trial registration: The study was registered on clinicaltrials.gov (NCT01284855) (GJ 5/1)
Ziel. Lokoregionäre Rezidive sind der Hauptgrund für ein Therapieversagen nach primärer multimodaler Behandlung von Plattenepithelkarzinomen der Kopf-Hals-Region (SCCHN). Wir verglichen die Effektivität und Toxizität von Cisplatin oder Cetuximab simultan zur Re-Bestrahlung (ReRT) bei inoperablen SCCHN-Rezidiven. Ein prognostischer Score sollte auf Grundlage verschiedener klinischer und pathologischer Faktoren etabliert werden.
Patienten und Methoden. 66 Patienten mit in vorbestrahlten Regionen rezidivierten SCCHN wurden von 2007 bis 2014 simultan mit Cetuximab (n=33) oder cisplatin-basierter Chemotherapie (n=33) re-bestrahlt. Die Toxizität wurde wöchentlich sowie bei jedem Nachsorgetermin erfasst. Klinische Untersuchung, Endoskopie, CT- oder MRT-Untersuchungen wurden zur Beurteilung des Therapieansprechens und der Krankheitskontrolle eingesetzt.
Ergebnisse. Nach einer mittleren Nachbeobachtungszeit von 18,3 Monaten betrug das 1-Jahres-Überleben (OS) für ReRT mit Cetuximab 44,4% und mit cisplatin-basierter Chemotherapie 45,5% (p=0.352). Die lokalen Kontollraten nach einem Jahr waren jeweils 46,4% und 54,2% (p=0.625); die Raten an Metastasenfreiheit 73,6% und 81% (p=0.842). Hämatologische Toxizität ≥ Grad 3 kam in der Cisplatin-Gruppe häufiger vor (p<0.001), dagegen trat Schmerz ≥ Grad 3 in der Cetuximab-Gruppe häufiger auf (p=0.034). Ein physiologischer Hb-Wert und ein längeres Intervall zwischen primärer RT und ReRT erwiesen sich als signifikante prognostische Faktoren für das OS (multivariat: p=0.003 und p=0.002). Die Rezidivlokalisation sowie das GTV zeigten keinen signifikanten Einfluss auf das OS in der multivariaten Analyse (p=0.160 und p=0.167). Ein auf Grundlage dieser Variablen konstruierter Prognose-Score (0 bis 4 Punkte) zeigte signifikante Überlebensunterschiede: 1-Jahres-OS für 0/1/2/3/4 Prognosepunkte: 10%, 38%, 76%, 80% und 100% (p<0.001).
Schlussfolgerung. Sowohl Cetuximab- als auch Cisplatin-basierte ReRT für SCCHN-Rezidive sind gut durchführbare und effektive Behandlungsoptionen mit vergleichbaren Ergebnissen bezüglich Tumorkontrolle und Überleben. Die akuten Nebenwirkungen könnten gering variieren. Unser Prognose-Score könnte zur Identifizierung der für ReRT geeigneten Patienten sowie zur Stratifizierung in künftigen klinischen Studien dienen.
Da HRS-Zellen im cHL nur eine Minderheit und CD4+ T-Zellen die Mehrheit im Begleitinfiltrat ausmachen, wurde innerhalb der vorliegenden Dissertation das Begleitinfiltrat und der Tumorzellgehalt von 24 HIV-assoziierten cHL-Fällen mit 15 HIV-negativen cHL-Fällen immunhistochemisch verglichen. Das reaktive Begleitinfiltrat im HIV-assoziierten cHL zeigte eine deutlich geringere Anzahl an CD4+ T-Zellen und einen höheren Gehalt an CD163+ Makrophagen als das HIV-negative cHL. Es konnte kein Unterschied in der Anzahl der CD30+ HRS-Zellen und S100+ dendritischen Zellen zwischen beiden Gruppen festgestellt werden. Mit Kokultur-Versuchen im Labor und darauf folgenden Zellausstrichen dieser Kokulturen konnte bestätigt werden, dass sich CD14+ Monozyten ebenso gut wie CD4+ T-Zellen als Rosetten um HRS-Zellen anordnen können. Im immunkomprimierten HIV-Patienten ersetzen die langlebigen CD163+ Makrophagen die CD4+ T-Zellen. Die Makrophagen werden vermutlich ebenso wie CD4+ T-Zellen mittels Zytokine/Chemokine (z. B. CCL5) zum Tumorgewebe rekrutiert, bilden Rosetten um die Tumorzellen und unterstützen diese in ihrer Proliferation.
Aufgrund der besonderen Zusammensetzung des Begleitinfiltrats sollte das HIV-assoziierte cHL von Pathologen als eigenständiger Subtyp des cHL betrachtet werden.
Des Weiteren wurde das Begleitinfiltrat der typisch knotigen NLPHL Typen A und C mit dem des diffusen NLPHL Typen E (THRLBCL-like NLPHL) und dem THRLBCL immunhistochemisch verglichen. Aufgrund histologischer und klinischer Ähnlichkeiten zwischen dem diffusen NLPHL und dem THRLBCL fällt eine Differenzierung dieser Entitäten schwer. Es konnte festgestellt werden, dass das Begleitinfiltrat im THRLBCL-like NLPHL dem Begleitinfiltrat im THRLBCL mehr ähnelt als dem typischen NLPHL und zwar in Bezug auf Makrophagengehalt und Anzahl der follikulären TFH-Zellen. Es konnten Rosetten im Begleitinfiltrat von THRLBCL nachgewiesen werden, obwohl Rosettenformationen um Tumorzellen im THRLBCL in der Literatur kein charakteristisches Merkmal darstellen. Es ist naheliegend, dass das THRLBCL-like NLPHL und das THRLBCL ein und dieselbe Krankheit ist und möglicherweise eine aggressivere Variante des NLPHL darstellt.
Im Anbetracht aller Ergebnisse kommt dem Immunstatus eines Patienten eine ausschlaggebende Rolle auf das Begleitinfiltrat im Tumorgewebe zu und dieser beeinflusst so auch den klinischen Verlauf der Lymphomerkrankung.
The Fire Modeling Intercomparison Project (FireMIP), phase 1: experimental and analytical protocols
(2016)
The important role of fire in regulating vegetation community composition and contributions to emissions of greenhouse gases and aerosols make it a critical component of dynamic global vegetation models and Earth system models. Over two decades of development, a wide variety of model structures and mechanisms have been designed and incorporated into global fire models, which have been linked to different vegetation models. However, there has not yet been a systematic examination of how these different strategies contribute to model performance. Here we describe the structure of the first phase of the Fire Model Intercomparison Project (FireMIP), which for the first time seeks to systematically compare a number of models. By combining a standardized set of input data and model experiments with a rigorous comparison of model outputs to each other and to observations, we will improve the understanding of what drives vegetation fire, how it can best be simulated, and what new or improved observational data could allow better constraints on model behavior. Here we introduce the fire models used in the first phase of FireMIP, the simulation protocols applied, and the benchmarking system used to evaluate the models. The works published in this journal are distributed under the Creative Commons Attribution 3.0 License. This license does not affect the Crown copy-right work, which is re-usable under the Open Government Licence (OGL). The Creative Commons Attribution 3.0 License and the OGL are interoperable and do not conflict with, reduce, or limit each other.
Hematopoietic differentiation is controlled by key transcription factors, which regulate stem cell functions and differentiation. TAL1 is a central transcription factor for hematopoietic stem cell development in the embryo and for gene regulation during erythroid/megakaryocytic differentiation. Knowledge of the target genes controlled by a given transcription factor is important to understand its contribution to normal development and disease. To uncover direct target genes of TAL1 we used high affinity streptavidin/biotin-based chromatin precipitation (Strep-CP) followed by Strep-CP on ChIP analysis using ChIP promoter arrays. We identified 451 TAL1 target genes in K562 cells. Furthermore, we analysed the regulation of one of these genes, the catalytic subunit beta of protein kinase A (PRKACB), during megakaryopoiesis of K562 and primary human CD34+ stem cell/progenitor cells. We found that TAL1 together with hematopoietic transcription factors RUNX1 and GATA1 binds to the promoter of the isoform 3 of PRKACB (Cβ3). During megakaryocytic differentiation a coactivator complex on the Cβ3 promoter, which includes WDR5 and p300, is replaced with a corepressor complex. In this manner, activating chromatin modifications are removed and expression of the PRKACB-Cβ3 isoform during megakaryocytic differentiation is reduced. Our data uncover a role of the TAL1 complex in controlling differential isoform expression of PRKACB. These results reveal a novel function of TAL1, RUNX1 and GATA1 in the transcriptional control of protein kinase A activity, with implications for cellular signalling control during differentiation and disease.
A recent report showed PINK1 transcript levels to be up- or down-regulated by the gain or loss of Ataxin-2 function, respectively, in human blood, in a human neural cell line and in mouse tissues. These observations may have profound implications for the regulation of cell growth and may be medically exploited for the treatment of cancer and neural atrophy...
Body image dissatisfaction is a serious, global problem that negatively affects life satisfaction. Several claims have been made about the possible psychological benefits of naturist activities, but very little empirical research has investigated these benefits or any plausible explanations for them. In three studies—one large-scale, cross-sectional study (n = 849), and 2 prospective studies (n = 24, n = 100) this research developed and applied knowledge about the possible benefits of naturist activities. It was found that more participation in naturist activities predicted greater life satisfaction—a relationship that was mediated by more positive body image, and higher self-esteem (Study 1). Applying these findings, it was found that participation in actual naturist activities led to an increase in life satisfaction, an effect that was also mediated by improvements in body image and self-esteem (Studies 2 and 3). The potential benefits of naturism are discussed, as well as possible future research, and implications for the use of naturist activities.
The important role of fire in regulating vegetation community composition and contributions to emissions of greenhouse gases and aerosols make it a critical component of dynamic global vegetation models and Earth system models. Over 2 decades of development, a wide variety of model structures and mechanisms have been designed and incorporated into global fire models, which have been linked to different vegetation models. However, there has not yet been a systematic examination of how these different strategies contribute to model performance. Here we describe the structure of the first phase of the Fire Model Intercomparison Project (FireMIP), which for the first time seeks to systematically compare a number of models. By combining a standardized set of input data and model experiments with a rigorous comparison of model outputs to each other and to observations, we will improve the understanding of what drives vegetation fire, how it can best be simulated, and what new or improved observational data could allow better constraints on model behavior. In this paper, we introduce the fire models used in the first phase of FireMIP, the simulation protocols applied, and the benchmarking system used to evaluate the models. We have also created supplementary tables that describe, in thorough mathematical detail, the structure of each model.
In this study, we aim to reconstruct a relevant and new database of monthly zonal mean distribution of carbon dioxide (CO2) at global scale extending from the upper-troposphere (UT) to stratosphere (S). This product can be used for model and satellite validation in the UT/S, as a prior for inversion modelling and mainly to analyse a plausible feature of the stratospherictropospheric exchange as well as the stratospheric circulation and its variability. To do so, we investigate the ability of a Lagrangian trajectory model guided by ERA-Interim reanalysis to construct the CO2 abundance in the UT/S. From 10 year backward trajectories and tropospheric observations of CO2, we reconstruct upper-tropospheric and stratospheric CO2 over the period 2000–2010. The inter-comparisons of the reconstructed CO2 with mid-latitude vertical profiles measured by balloon samples as well as quasi-horizontal air samples from ER-2 aircraft during SOLVE and CONTRAIL campaigns exhibit a remarkable agreement. That demonstrates the potential of Lagrangian model to reconstruct CO2 in the UT/S. The zonal mean distribution exhibits relatively large CO2 in the tropical stratosphere due to the seasonal variation of the tropical upwelling of Brewer-Dobson circulation. During winter and spring, the tropical pipe is relatively isolated but is less confined during summer and autumn so that high CO2 values are more readily transported out of the tropics to the mid- and high latitude stratosphere. The shape of the vertical profiles suggests that relatively high CO2 above 20 km altitude mainly enter the stratosphere through tropical upwelling. CO2 mixing ratio is relatively low in the polar and tropical regions above 25 km. On average the CO2 mixing ratio decreases with altitude by 6-8 ppmv from the UT to stratosphere (e.g. up to 35 km) and is nearly constant with altitude.
In this study, we construct a new monthly zonal mean carbon dioxide (CO2) distribution from the upper troposphere to the stratosphere over the 2000–2010 time period. This reconstructed CO2 product is based on a Lagrangian backward trajectory model driven by ERA-Interim reanalysis meteorology and tropospheric CO2 measurements. Comparisons of our CO2 product to extratropical in situ measurements from aircraft transects and balloon profiles show remarkably good agreement. The main features of the CO2 distribution include (1) relatively large mixing ratios in the tropical stratosphere; (2) seasonal variability in the extratropics, with relatively high mixing ratios in the summer and autumn hemisphere in the 15–20 km altitude layer; and (3) decreasing mixing ratios with increasing altitude from the upper troposphere to the middle stratosphere ( ∼ 35 km). These features are consistent with expected variability due to the transport of long-lived trace gases by the stratospheric Brewer–Dobson circulation. The method used here to construct this CO2 product is unique from other modelling efforts and should be useful for model and satellite validation in the upper troposphere and stratosphere as a prior for inversion modelling and to analyse features of stratosphere–troposphere exchange as well as the stratospheric circulation and its variability.
The fractional release factor (FRF) gives information on the amount of a halocarbon that is released at some point in the stratosphere from its source form to the inorganic form, which can harm the ozone layer through catalytic reactions. The quantity is of major importance because it directly affects the calculation of the Ozone Depletion Potential (ODP). To apply FRF in this context, steady-state values are needed, thus representing a molecular property for a given atmospheric situation. In particular, these values should be independent of the tropospheric trends of the respective halogenated trace gases.
We analyzed the temporal evolution of FRF from ECHAM/MESSy Atmospheric Chemistry (EMAC) model simulations for several halocarbons and nitrous oxide between 1965–2011 on different mean age levels and found that the current formulation of FRF yields highly time-dependent values. We show that this is caused by the way that the tropospheric trend is handled in the current calculation method of FRF.
Taking into account chemical loss in the calculation of stratospheric mixing ratios reduces the time-dependence in correlations of different tracers. Therefore we implemented a loss term in the formulation of FRF and applied the parameterization of a "mean arrival time" to our data set.
We find that the time-dependence in FRF can almost be compensated by applying a new trend correction in the calculation of FRF. We suggest that this new method should be used to calculate time-independent FRF, which can then be used e.g. for the calculation of ODP
The fractional release factor (FRF) gives information on the amount of a halocarbon that is released at some point into the stratosphere from its source form to the inorganic form, which can harm the ozone layer through catalytic reactions. The quantity is of major importance because it directly affects the calculation of the ozone depletion potential (ODP). In this context time-independent values are needed which, in particular, should be independent of the trends in the tropospheric mixing ratios (tropospheric trends) of the respective halogenated trace gases. For a given atmospheric situation, such FRF values would represent a molecular property.
We analysed the temporal evolution of FRF from ECHAM/MESSy Atmospheric Chemistry (EMAC) model simulations for several halocarbons and nitrous oxide between 1965 and 2011 on different mean age levels and found that the widely used formulation of FRF yields highly time-dependent values. We show that this is caused by the way that the tropospheric trend is handled in the widely used calculation method of FRF.
Taking into account chemical loss in the calculation of stratospheric mixing ratios reduces the time dependence in FRFs. Therefore we implemented a loss term in the formulation of the FRF and applied the parameterization of a mean arrival time to our data set.
We find that the time dependence in the FRF can almost be compensated for by applying a new trend correction in the calculation of the FRF. We suggest that this new method should be used to calculate time-independent FRFs, which can then be used e.g. for the calculation of ODP.
Malignant gliomas are intrinsic brain tumors with a dismal prognosis. They are well-adapted to hypoxic conditions and poorly immunogenic. NKG2D is one of the major activating receptors of natural killer (NK) cells and binds to several ligands (NKG2DL).
Here we evaluated the impact of miRNA on the expression of NKG2DL in glioma cells including stem-like glioma cells. Three of the candidate miRNA predicted to target NKG2DL were expressed in various glioma cell lines as well as in glioblastomas in vivo: miR-20a, miR-93 and miR-106b. LNA inhibitor-mediated miRNA silencing up-regulated cell surface NKG2DL expression, which translated into increased susceptibility to NK cell-mediated lysis. This effect was reversed by neutralizing NKG2D antibodies, confirming that enhanced lysis upon miRNA silencing was mediated through the NKG2D system. Hypoxia, a hallmark of glioblastomas in vivo, down-regulated the expression of NKG2DL on glioma cells, associated with reduced susceptibility to NK cell-mediated lysis. This process, however, was not mediated through any of the examined miRNA. Accordingly, both hypoxia and the expression of miRNA targeting NKG2DL may contribute to the immune evasion of glioma cells at the level of the NKG2D recognition pathway. Targeting miRNA may therefore represent a novel approach to increase the immunogenicity of glioblastoma.
Background: The West African country of Burkina Faso (BFA) is an example for the enduring importance of traditional plant use today. A large proportion of its 17 million inhabitants lives in rural communities and strongly depends on local plant products for their livelihood. However, literature on traditional plant use is still scarce and a comprehensive analysis for the country is still missing.
Methods: In this study we combine the information of a recently published plant checklist with information from ethnobotanical literature for a comprehensive, national scale analysis of plant use in Burkina Faso. We quantify the application of plant species in 10 different use categories, evaluate plant use on a plant family level and use the relative importance index to rank all species in the country according to their usefulness. We focus on traditional medicine and quantify the use of plants as remedy against 22 classes of health disorders, evaluate plant use in traditional medicine on the level of plant families and rank all species used in traditional medicine according to their respective usefulness.
Results: A total of 1033 species (50%) in Burkina Faso had a documented use. Traditional medicine, human nutrition and animal fodder were the most important use categories. The 12 most common plant families in BFA differed considerably in their usefulness and application. Fabaceae, Poaceae and Malvaceae were the plant families with the most used species. In this study Khaya senegalensis, Adansonia digitata and Diospyros mespiliformis were ranked the top useful plants in BFA. Infections/Infestations, digestive system disorders and genitourinary disorders are the health problems most commonly addressed with medicinal plants. Fabaceae, Poaceae, Asteraceae, Apocynaceae, Malvaceae and Rubiaceae were the most important plant families in traditional medicine. Tamarindus indica, Vitellaria paradoxa and Adansonia digitata were ranked the most important medicinal plants.
Conclusions: The national-scale analysis revealed systematic patterns of traditional plant use throughout BFA. These results are of interest for applied research, as a detailed knowledge of traditional plant use can a) help to communicate conservation needs and b) facilitate future research on drug screening.
Proteins of the secretin family form large macromolecular complexes, which assemble in the outer membrane of Gram-negative bacteria. Secretins are major components of type II and III secretion systems and are linked to extrusion of type IV pili (T4P) and to DNA uptake. By electron cryo-tomography of whole Thermus thermophilus cells, we determined the in situ structure of a T4P molecular machine in the open and the closed state. Comparison reveals a major conformational change whereby the N-terminal domains of the central secretin PilQ shift by ∼30 Å, and two periplasmic gates open to make way for pilus extrusion. Furthermore, we determine the structure of the assembled pilus.