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HDAC inhibitors (HDACI), a new class of anticancer agents, induce apoptosis in many cancer entities. JNJ-26481585 is a second generation class І HDACI that displays improved efficacy in preclinical studies compared to the established HDACI SAHA (Vorinostat). Therefore, this study aims at evaluating the effects of JNJ-26481585 on human rhabdomyosarcoma (RMS) and at identifying novel synergistic interactions of JNJ-26481585 or the more common HDACI SAHA with different anticancer drugs in RMS cells. Indeed, we show that JNJ-26481585 and SAHA significantly increase chemotherapeutic drug-induced apoptosis in embryonal and alveolar RMS cell lines, when used in combination with chemotherapeutic agents (i.e. doxorubicin, etoposide, vincristine, and cyclophosphamide) which are currently used in the clinic for the treatment of RMS.
We demonstrate that JNJ-26481585 as single agent and in combination with doxorubicin induces apoptosis, which is characterized by activation of the caspase cascade, PARP cleavage, and DNA fragmentation. Induction of caspase-dependent apoptotic cell death is confirmed by the use of the broad-range caspase inhibitor zVAD.fmk, which significantly decreases both JNJ-26481585-triggered and combination treatment-mediated DNA fragmentation, and in addition completely abrogates loss of cell viability. Importantly, JNJ-26481585 significantly inhibits tumor growth in vivo in two preclinical RMS models, i.e. the chicken chorioallantoic membrane (CAM) model and a xenograft mouse model, supporting the notion that JNJ-26481585 hampers tumor maintenance. Also, in combination with doxorubicin JNJ-26481585 significantly reduces tumor growth in in vivo experiments using the CAM model.
Mechanistically, we identify that JNJ-26481585-induced apoptosis is mediated via the intrinsic apoptotic pathway, since we observe increased loss of mitochondrial membrane potential and activation of the proapoptotic Bcl-2 family members Bax and Bak. Interestingly, we find that JNJ-26481585 triggers induction of Bim, Bmf, Puma, and Noxa on mRNA level as well as on protein level, pointing to an altered transcription of BH3-only proteins as important event for the Bax/Bak-mediated loss of mitochondrial membrane potential as well as mitochondrial apoptosis induction upon JNJ-26481585 treatment. JNJ-26481585-initiated activation of Bax and Bak is not prevented with the addition of zVAD.fmk, suggesting that JNJ-26481585 first disrupts the mitochondria and subsequently activates the caspase cascade. When JNJ-26481585 is used in combination with doxorubicin, we observe not only an increase of proapoptotic Bcl-2 proteins, but also a decrease in the level of the antiapoptotic mitochondrial proteins Bcl-2, Mcl-1, and Bcl-xL. This indicates that Bax, Bak, Bim, and Noxa are crucial for JNJ-26481585-induced as well as JNJ/Dox treatment-induced apoptosis, since RNAi mediated silencing of Bax, Bak, Bim, and Noxa significantly impedes DNA fragmentation upon those treatments.
Furthermore, ectopic overexpression of Bcl-2 profoundly impairs both JNJ-26481585 and combination treatment-mediated apoptosis, abrogates caspase cleavage, and reduces activation of Bax and Bak, underlining the hypothesis that JNJ-26481585 initially targets the mitochondria and then activates caspases.
With the more commonly used HDACI SAHA we confirm the results obtained with the HDACI JNJ-26481585, since combination treatment with SAHA and doxorubicin also induces intrinsic apoptosis, which can be significantly diminished by zVAD.fmk or ectopic overexpression of Bcl-2. Treatment with SAHA and doxorubicin also affects expression levels of pro- and antiapoptotic mitochondrial proteins, thus shifting the balance towards the proapoptotic mitochondrial machinery, resulting in Bax/Bak activation, caspase activation, and subsequently apoptosis.
Taken together, we provide evidence that the HDACIs JNJ-26481585 and SAHA are promising therapeutic agents for the treatment of RMS and that combination regimens with HDACIs represent an efficient strategy to prime RMS cells for chemotherapy-induced apoptosis. These findings have important implications for mitochondrial apoptosis-targeted therapies of RMS.
Small molecule drug discovery is strongly supported by biophysical data. In the reach of this thesis, cell free protein expression was used to produce human target proteins for ligand binding assays using Surface Plasmon Resonance spectroscopy (SPR). In the second step the binding and interaction characteristics of small molecules and fragments were analyzed using Nuclear Magnetic Resonance spectroscopy (NMR).
The first target protein was the human acid sensing channel 1 (ASIC1a). ASIC1a was expressed in a cell free expression system based on E.coli lysate. To optimize the expression, several parameters including fusion tags, ion concentrations and different hydrophobic environments were tested.
The adaption of the folding environment for ASIC1a needed more optimization, because it is a very challenging target to express in an in vitro system. Three different expression modes were employed to find a suitable folding environment.
SPR binding studies with ASIC1a were performed with chicken ASIC1a expressed in insect cells. The immobilization of cASIC1a and the used buffer conditions were tested using Psalmotoxin 1, a naturally occurring peptide venom which binds strong to the trimeric form of ASIC1a. Compound characterization experiments were performed with a variety of different ligands including amiloride, a general blocker of the whole ENaC protein family. None of the used ligands showed titration curves that would match a simple 1:1 binding model. The experiments either show no binding signal or signal that could be interpreted as unspecific binding. Even amiloride that should be binding the protein shows no signals that fit a simple binding model.
Another target protein that was investigated is the soluble prolyl cis/trans isomerase Cyclophilin D (or peptidyl prolyl isomerase F – PPIF). This protein is involved in the regulation of the mitochondrial permeability transition pore and therefore a potential drug target to treat neurodegenerative diseases. Small molecule binding was tested with CypD using SPR. Following the kinetic analysis of small molecule ligands, the binding position of different binding fragments was analyzed. These fragments originated from a SPR based fragment screen and gave no co-crystal structures with CypD. Therefore NMR was used to investigate the binding position of these fragments. An analysis of the chemical shift perturbations upon ligand addition revealed that the NMR analysis was in line with the results gathered by x-ray crystallography. The fragments with unknown binding position however, all bind to a specific patch slightly outside the binding pocket.
The ligand CL1 showed a special behavior in the NMR experiments. Upon addition to CypD, it produced large shifts on many signals of the protein, accompanied by a severe line broadening. The shift perturbations were so numerous and large that the spectrum had to be reassigned in complex with the ligand. Triple selective labeling was applied to allow a fast and nearly complete signal assignment. The possibility to use highly sophisticated labeling schemes, is one of the advantages of cell free protein expression. After the assignment of the complex spectrum, the chemical shift perturbations were analyzed and quantified. The residues showing the strongest CSPs are also identified in the crystal structure to be involved in the binding of CL1, giving a consistent picture. The numerous and large shift perturbations, produced by CL1 led to the assumption, that the ligand induces a conformational change in CypD, which is not represented in the co-crystal structure. This conformational change was characterized by a NMR based structure determination. CypD apo yielded a defined bundle, whose folded regions overlap well with the corresponding crystal structure.
For the calculation of the CypD-CL1 complex structure, the sidechain resonances were assigned using an automated assignment approach with the software FLYA. The calculation of the CypD-CL1 complex structure did not result in a defined bundle. While parts of the protein converge in a well folded state, the region around the active site shows no defined folding. Careful analysis of the structure calculation suggests that the problems during structure calculation did not originate from an incorrect resonance assignment, but rather from a lack of NOE crosspeaks. This might be due to a broadening of the corresponding NOE crosspeaks or the coexistence of many different conformations. This leads to the conclusion, that the protein conformation is not defined by the NMR data and could be in a dynamic interchange between multiple structures.
This hypothesis is supported by other observations. The line broadening of the signals in the complex is pronounced in the area around the active site and the substrate binding pocket, hinting to a connection between catalytic activity and protein dynamics. In addition many NMR signals are sensitive to changes in the measurement field strength and the temperature. This field dependent signal splitting suggests dynamic conformational changes in the protein between at least two different conformations on a millisecond timescale.
The current working model is that CL1 binds to CypD and induces the catalytic cycle and the connected conformational changes in CypD. As a result the proline like moiety in CL1 is constantly switching between the cis and the trans conformation. Due to the high affinity of CL1, the inhibitor does not leave the binding pocket after successful catalysis, but stays bound in the pocket stimulating further catalytic cycles. These findings as well as the working model are well in line with data published for Cyclophilin A, another member of the cyclophilin family, thereby supporting the model.
Der Auflösung mikroskopischer Verfahren ist durch die Beugungsgrenze eine natürliche Schranke gesetzt. Strukturen, die näher als die halbe Wellenlänge des verwendeten Lichts zusammenliegen, können nicht aufgelöst werden. Doch Forscher haben einen Weg gefunden, diese Grenze zu umgehen. Die entstehenden Bilder ähneln dem Pointillismus in der Malerei.
Background: In the present study, we aimed to investigate the effect of counteracting inhibitor of apoptosis (IAP) proteins using the small molecule Second Mitochondria-derived Activator of Caspase (SMAC) mimetic BV6 in combination with ionizing radiation on apoptosis, cell cycle regulation, DNA double-strand break (DSB) repair, three-dimensional (3D) clonogenic survival and expression of IAPs in colorectal carcinoma cells.
Material and methods: Colorectal cancer cell lines (HCT-15, HT-29, SW480) were subjected to BV6 treatment (0–4 μM) with or without irradiation (2–8 Gy, single dose) followed by MTT, Caspase 3/7 activity, γH2AX/53BP1 foci assays, AnnexinV staining, cell cycle analysis, 3D colony forming assays and Western blotting (cellular IAP1 (cIAP1) and cIAP2, Survivin, X-linked IAP (XIAP)).
Results: BV6 treatment decreased cell viability and significantly increased irradiation-induced apoptosis as analyzed by Caspase 3/7 activity, AnnexinV-positive and subG1 phase cells. While basal 3D clonogenic survival was decreased in a cell line-dependent manner, BV6 significantly enhanced cellular radiosensitivity of all cell lines in a concentration-dependent manner and increased the number of radiation-induced γH2AX/53BP1-positive foci. Western blot analysis revealed a markedly reduced cIAP1 expression at 4 h after BV6 treatment in all cell lines, a substantial reduction of XIAP expression in SW480 and HT-29 cells at 24 h and a slightly decreased cIAP2 expression in HCT-15 cells at 48 h after treatment. Moreover, single or double knockdown of cIAP1 and XIAP resulted in significantly increased residual γH2AX/53BP1-positive foci 24 h after 2 Gy and radiosensitization relative to control small interfering RNA (siRNA)-treated cells.
Conclusion: The SMAC mimetic BV6 induced apoptosis and hampered DNA damage repair to radiosensitize 3D grown colorectal cancer cells. Our results demonstrate IAP targeting as a promising strategy to counteract radiation resistance of colorectal cancer cells.
Due to their penetrating nature, electromagnetic probes, i.e., lepton-antilepton pairs (dileptons) and photons are unique tools to gain insight into the nature of the hot and dense medium of strongly-interacting particles created in relativistic heavy-ion collisions, including hints to the nature of the restoration of chiral symmetry of QCD. Of particular interest are the spectral properties of the electromagnetic current-correlation function of these particles within the dense and/or hot medium. The related theoretical investigations of the in-medium properties of the involved particles in both the partonic and hadronic part of the QCD phase diagram underline the importance of a proper understanding of the properties of various hadron resonances in the medium.
"Lichtspielhaus" – so nannten sich die Kinopaläste in früheren Zeiten gern. Eine große Rolle spielt das Licht schon bei der Produktion der Filme: Der gezielte Einsatz von Licht beim Dreh beeinflusst subtil die Wahrnehmung des Publikums. Das wussten schon die Pioniere des Kinos zu Beginn des 20. Jahrhunderts geschickt zu nutzen. Die Grundtechnik hat sich bis heute kaum geändert.
The ALICE detector at the LHC is used to study the properties of the Quark-Gluon Plasma produced in heavy-ion collisions. As a reference measurement, also the analysis of proton-proton (pp) collisions is very important. In the study presented here, event-by-event fluctuations of the mean transverse momentum are analysed in pp collisions at √s = 0.9, 2.76 and 7 TeV, and Pb–Pb collisions at √sNN = 2.76 TeV as a function of the charged-particle multiplicity. In both systems, dynamical fluctuations beyond the statistical expectation are observed. In pp collisions, no significant dependence on collision energy is found, even in comparison to inclusive results at much lower collision energies. Likewise, central A–A collisions show only little dependence on collision energy. The multiplicity dependence observed in peripheral Pb–Pb data is in agreement with that in pp collisions. Going to more central Pb–Pb collisions, a clear deviation from this trend is found, reaching a significant reduction of the fluctuations in most central collisions. Comparisons toMonte Carlo event generators show good agreement in pp, but rather large differences in Pb–Pb collisions.
A number of recent studies regress a "narratively" identified measure of a macroeconomic shock directly on an outcome variable. In this note, we argue that this approach can be viewed as the reduced-form regression of an instrumental variable approach in which the narrative time series is used as an instrument for an endogenous series of interest. This motivates evaluating the validity of narrative measures through the lens of a randomized experiment. We apply our framework to four recently constructed narrative measures of tax shocks by Romer and Romer (2010), Cloyne (2013), and Mertens and Ravn (2012). All of them turn out to be weak instruments for observable measures of taxes. After correcting for weak instruments, we find that using any of the considered narrative tax measures as an instrument for cyclically adjusted tax revenues yields tax multiplier estimates that are indistinguishable from zero. We conclude that the literature currently understates the uncertainty associated with quantifying the tax multiplier.
There is a large, but yet growing debate about the need to complement the European monetary union with a stronger fiscal union. This paper reviews the potential trade-offs between effectiveness, moral hazard problems, and permanent redistribution. In particular, we contribute to the question of how member states may be willing to enter into a stronger fiscal union if the evolution of this union may imply large redistribution under incomplete contracting. We discuss clawback mechanisms that have been suggested in the literature, but conclude that clawbacks are undesirable, as they would essentially destroy the insurance value of a fiscal union. Instead, we propose that a clearly defined exit option as a guarantee against involuntary redistribution can make entry into a stronger fiscal union less risky and hence more attractive for member states.
There is a growing debate about complementing the European Monetary Union by a more comprehensive fiscal union. Against this background, this paper emphasizes that there is a trade-off in designing a system of fiscal transfers ("fiscal capacity") in a union between members of different size. A system cannot guarantee symmetric treatment of members and simultaneously ensure a balanced budget. We compute hypothetical transfers for the Eurozone members from 2001 to 2012 to illustrate this trade-off. Interestingly, a symmetric system that treats shocks in small and large countries symmetrically would have produced large budgetary surpluses in 2009, the worst year of the financial crisis.
We propose a multivariate dynamic intensity peaks-over-threshold model to capture extreme events in a multivariate time series of returns. The random occurrence of extreme events exceeding a threshold is modeled by means of a multivariate dynamic intensity model allowing for feedback effects between the individual processes. We propose alternative specifications of the multivariate intensity process using autoregressive conditional intensity and Hawkes-type specifications. Likewise, temporal clustering of the size of exceedances is captured by an autoregressive multiplicative error model based on a generalized Pareto distribution. We allow for spillovers between both the intensity processes and the process of marks. The model is applied to jointly model extreme returns in the daily returns of three major stock indexes. We find strong empirical support for a temporal clustering of both the occurrence of extremes and the size of exceedances. Moreover, significant feedback effects between both types of processes are observed. Backtesting Value-at-Risk (VaR) and Expected Shortfall (ES) forecasts show that the proposed model does not only produce a good in-sample fit but also reliable out-of-sample predictions. We show that the inclusion of temporal clustering of the size of exceedances and feedback with the intensity thereof results in better forecasts of VaR and ES.
We provide elementary algorithms for two preservation theorems for first-order sentences (FO) on the class ℭd of all finite structures of degree at most d: For each FO-sentence that is preserved under extensions (homomorphisms) on ℭd, a ℭd-equivalent existential (existential-positive) FO-sentence can be constructed in 5-fold (4-fold) exponential time. This is complemented by lower bounds showing that a 3-fold exponential blow-up of the computed existential (existential-positive) sentence is unavoidable. Both algorithms can be extended (while maintaining the upper and lower bounds on their time complexity) to input first-order sentences with modulo m counting quantifiers (FO+MODm). Furthermore, we show that for an input FO-formula, a ℭd-equivalent Feferman-Vaught decomposition can be computed in 3-fold exponential time. We also provide a matching lower bound
Background: Alzheimer’s Disease (AD) is the most common form of dementia and one of the major diseases of old age, causing the impairment of cognitive functions. This disease does not only confront society with financial issues, but also puts severe stress on individuals suffering from AD and their relatives alike. One of the possible symptoms, commonly described in AD, is the impairment of learning as well as the recognition of face-name associations. Beginning at age 60, the chance to develop AD grows exponentially with increasing age, making age a major risk factor. Additionally, the e4 allele of the apolipoprotein E (APOE) polymorphism has been associated with the risk of developing AD when compared to the more common e3 allele. While strong evidence shows a stronger decline in cognitive function with rising age for e4 carriers, some studies demonstrated better cognitive function in e4 carriers at a young age.
This led to the postulation of the hypothesis of antagonistic pleiotropy of the APOE gene, wherein the e4 allele may benefit cognitive function in young carriers, yet leads to a faster decline at a later point in life, encouraging the development of cognitive dysfunction such as AD. Several functional magnetic resonance imaging (fMRI) studies, examining functional activation patterns, found APOE-related differences in key areas of episodic memory, such as the hippocampus, where e4 carriers show aberrant activation similar to AD patients. However, associative memory (encoding and retrieval of face name pairs) has not been well examined for APOE-related differences. Interaction effects of age and the APOE genotype, such as those postulated by the hypothesis of antagonistic pleiotropy, have not been addressed in face-name association tasks either.
Leading Question: Is it possible to detect interaction effects between age and APOE genotype on cognitive performance or neuronal activation patterns in healthy young and old participants during an fMRI face-name association task, supporting the hypothesis of antagonistic pleiotropy of the APOE genotype?
Methods: Participants were stratied by age, and APOE e4 carriers were randomly matched with homozygous e3 carriers. Neuropsychological examination (CVLT and CERAD) was administered. Participants underwent structural MRI analysis via voxelbased morphometry (VBM) as well as fMRI imaging during a face-name association task.
Results: Apart from strong age-related effects in cognitive function detected during neuropsychological testing, the behavioral data from the face-name association task as well as the structural MRI analysis did not show an association with the APOE genotype. Nevertheless, analysis of functional MRI data showed age- as well as APOE-dependent effects on activation patterns for the encoding and retrieval of face-name pairs, in absence of differences in cognitive performance. Further analysis showed eight clusters of significant age X APOE genotype interactions in areas previously associated with working and visual associative memory, including the fusiform gyri bilaterally. These interactions show different patterns, whereas a relative hypoactivation of young e4 carriers together with a hyperactivation of old e4 carriers is the most prominent.
Conclusions: With regard to the leading question, this study successfully found age X APOE interactions in a face-name pair retrieval task, although no interaction effects were present in the encoding task, structural analysis, or cognitive performance. The agemediated effect of the APOE e4 allele on functional activation patterns may be explained by the compensatory hypothesis, describing a relative hyperactivation of old e4 carriers as compensatory, and interpreting a relative hypoactivation of younger e4 participants as reduced effort to achieve the same cognitive performance as non carriers.
These findings present further evidence of an antagonistic pleiotropy of the APOE genotype, showing age-dependent effects of the e4 allele even in healthy carriers. Nevertheless, previously described differences in cognitive performance and brain structure, even in young participants, were not found. On the contrary, functional MRI analysis showed APOE-related differences in young and old participants, suggesting that this modality may be more sensitive in detecting APOE-mediated changes. Among the clusters, demonstrating an interaction effect, the fusiform gyri were most prominent, which might be due to its important role in visual associative memory. As previous studies indicate an early and strong involvement of this area due to AD pathology, this interaction effect of age and APOE genotype in healthy participants underlines the importance of this region in the development of AD, and should be the focus of further research. However, this research is also required to determine, how exactly the APOE genotype influences brain function in healthy humans, and to clarify its relationship to pathological processes facilitating the development of AD.
Even in the absence of sensory stimulation the brain is spontaneously active. This background “noise” seems to be the dominant cause of the notoriously high trial-to-trial variability of neural recordings. Recent experimental observations have extended our knowledge of trial-to-trial variability and spontaneous activity in several directions: 1. Trial-to-trial variability systematically decreases following the onset of a sensory stimulus or the start of a motor act. 2. Spontaneous activity states in sensory cortex outline the region of evoked sensory responses. 3. Across development, spontaneous activity aligns itself with typical evoked activity patterns. 4. The spontaneous brain activity prior to the presentation of an ambiguous stimulus predicts how the stimulus will be interpreted. At present it is unclear how these observations relate to each other and how they arise in cortical circuits. Here we demonstrate that all of these phenomena can be accounted for by a deterministic self-organizing recurrent neural network model (SORN), which learns a predictive model of its sensory environment. The SORN comprises recurrently coupled populations of excitatory and inhibitory threshold units and learns via a combination of spike-timing dependent plasticity (STDP) and homeostatic plasticity mechanisms. Similar to balanced network architectures, units in the network show irregular activity and variable responses to inputs. Additionally, however, the SORN exhibits sequence learning abilities matching recent findings from visual cortex and the network's spontaneous activity reproduces the experimental findings mentioned above. Intriguingly, the network's behaviour is reminiscent of sampling-based probabilistic inference, suggesting that correlates of sampling-based inference can develop from the interaction of STDP and homeostasis in deterministic networks. We conclude that key observations on spontaneous brain activity and the variability of neural responses can be accounted for by a simple deterministic recurrent neural network which learns a predictive model of its sensory environment via a combination of generic neural plasticity mechanisms.
Immunohistochemical assessment of phosphorylated mTORC1-pathway proteins in human brain tumors
(2015)
Background: Current pathological diagnostics include the analysis of (epi-)genetic alterations as well as oncogenic pathways. Deregulated mammalian target of rapamycin complex 1 (mTORC1) signaling has been implicated in a variety of cancers including malignant gliomas and is considered a promising target in cancer treatment. Monitoring of mTORC1 activity before and during inhibitor therapy is essential. The aim of our study is to provide a recommendation and report on pitfalls in the use of phospho-specific antibodies against mTORC1-targets phospho-RPS6 (Ser235/236; Ser240/244) and phospho-4EBP1 (Thr37/46) in formalin fixed, paraffin embedded material.
Methods and findings: Primary, established cell lines and brain tumor tissue from routine diagnostics were assessed by immunocyto-, immunohistochemistry, immunofluorescent stainings and immunoblotting. For validation of results, immunoblotting experiments were performed. mTORC-pathway activation was pharmacologically inhibited by torin2 and rapamycin. Torin2 treatment led to a strong reduction of signal intensity and frequency of all tested antibodies. In contrast phospho-4EBP1 did not show considerable reduction in staining intensity after rapamycin treatment, while immunocytochemistry with both phospho-RPS6-specific antibodies showed a reduced signal compared to controls. Staining intensity of both phospho-RPS6-specific antibodies did not show considerable decrease in stability in a timeline from 0–230 minutes without tissue fixation, however we observed a strong decrease of staining intensity in phospho-4EBP1 after 30 minutes. Detection of phospho-signals was strongly dependent on tissue size and fixation gradient. mTORC1-signaling was significantly induced in glioblastomas although not restricted to cancer cells but also detectable in non-neoplastic cells.
Conclusion: Here we provide a recommendation for phospho-specific immunohistochemistry for patient-orientated therapy decisions and monitoring treatment response.
Simple cells in primary visual cortex were famously found to respond to low-level image components such as edges. Sparse coding and independent component analysis (ICA) emerged as the standard computational models for simple cell coding because they linked their receptive fields to the statistics of visual stimuli. However, a salient feature of image statistics, occlusions of image components, is not considered by these models. Here we ask if occlusions have an effect on the predicted shapes of simple cell receptive fields. We use a comparative approach to answer this question and investigate two models for simple cells: a standard linear model and an occlusive model. For both models we simultaneously estimate optimal receptive fields, sparsity and stimulus noise. The two models are identical except for their component superposition assumption. We find the image encoding and receptive fields predicted by the models to differ significantly. While both models predict many Gabor-like fields, the occlusive model predicts a much sparser encoding and high percentages of ‘globular’ receptive fields. This relatively new center-surround type of simple cell response is observed since reverse correlation is used in experimental studies. While high percentages of ‘globular’ fields can be obtained using specific choices of sparsity and overcompleteness in linear sparse coding, no or only low proportions are reported in the vast majority of studies on linear models (including all ICA models). Likewise, for the here investigated linear model and optimal sparsity, only low proportions of ‘globular’ fields are observed. In comparison, the occlusive model robustly infers high proportions and can match the experimentally observed high proportions of ‘globular’ fields well. Our computational study, therefore, suggests that ‘globular’ fields may be evidence for an optimal encoding of visual occlusions in primary visual cortex.
Aim: We investigated the long-term impact of adjunctive systemic antibiotics on periodontal disease progression. Periodontal therapy is frequently supplemented by systemic antibiotics, although its impact on the course of disease is still unclear.
Material & Methods: This prospective, randomized, double-blind, placebo-controlled multi-centre trial comprising patients suffering from moderate to severe periodontitis evaluated the impact of rational adjunctive use of systemic amoxicillin 500 mg plus metronidazole 400 mg (3x/day, 7 days) on attachment loss. The primary outcome was the percentage of sites showing further attachment loss (PSAL) ≥1.3 mm after the 27.5 months observation period. Standardized therapy comprised mechanical debridement in conjunction with antibiotics or placebo administration, and maintenance therapy at 3 months intervals.
Results: From 506 participating patients, 406 were included in the intention to treat analysis. Median PSAL observed in placebo group was 7.8% compared to 5.3% in antibiotics group (Q25 4.7%/Q75 14.1%; Q25 3.1%/Q75 9.9%; p < 0.001 respectively).
Conclusions: Both treatments were effective in preventing disease progression. Compared to placebo, the prescription of empiric adjunctive systemic antibiotics showed a small absolute, although statistically significant, additional reduction in further attachment loss. Therapists should consider the patient's overall risk for periodontal disease when deciding for or against adjunctive antibiotics prescription.
When markets are incomplete, social security can partially insure against idiosyncratic and aggregate risks. We incorporate both risks into an analytically tractable model with two overlapping generations. We derive the equilibrium dynamics in closed form and show that joint presence of both risks leads to over-proportional risk exposure for households. This implies that the whole benefit from insurance through social security is greater than the sum of the benefits from insurance against each of the two risks in isolation. We measure this through interaction effects which appear even though the two risks are orthogonal by construction. While the interactions unambiguously increase the welfare benefits from insurance, they can in- or decrease the welfare costs from crowding out of capital formation. The net effect depends on the relative strengths of the opposing forces.
Aus der Redaktion
(2015)