CID: an efficient complexity-invariant distance for time series

The ubiquity of time series data across almost all human endeavors has produced a great interest in time series data mining in the last decade. While dozens of classification algorithms have been applied to time series, recent empirical evidence strongly suggests that simple nearest neighbor classification is exceptionally difficult to beat. The choice of distance measure used by the nearest neighbor algorithm is important, and depends on the invariances required by the domain. For example, motion capture data typically requires invariance to warping, and cardiology data requires invariance to the baseline (the mean value). Similarly, recent work suggests that for time series clustering, the choice of clustering algorithm is much less important than the choice of distance measure used.In this work we make a somewhat surprising claim. There is an invariance that the community seems to have missed, complexity invariance. Intuitively, the problem is that in many domains the different classes may have different complexities, and pairs of complex objects, even those which subjectively may seem very similar to the human eye, tend to be further apart under current distance measures than pairs of simple objects. This fact introduces errors in nearest neighbor classification, where some complex objects may be incorrectly assigned to a simpler class. Similarly, for clustering this effect can introduce errors by “suggesting” to the clustering algorithm that subjectively similar, but complex objects belong in a sparser and larger diameter cluster than is truly warranted.We introduce the first complexity-invariant distance measure for time series, and show that it generally produces significant improvements in classification and clustering accuracy. We further show that this improvement does not compromise efficiency, since we can lower bound the measure and use a modification of triangular inequality, thus making use of most existing indexing and data mining algorithms. We evaluate our ideas with the largest and most comprehensive set of time series mining experiments ever attempted in a single work, and show that complexity-invariant distance measures can produce improvements in classification and clustering in the vast majority of cases.

On the three-finger protein domain fold and CD59-like proteins in Schistosoma mansoni

Background: It is believed that schistosomes evade complement-mediated killing by expressing regulatory proteins on their surface. Recently, six homologues of human CD59, an important inhibitor of the complement system membrane attack complex, were identified in the schistosome genome. Therefore, it is important to investigate whether these molecules could act as CD59-like complement inhibitors in schistosomes as part of an immune evasion strategy. Methodology/Principal Findings: Herein, we describe the molecular characterization of seven putative SmCD59-like genes and attempt to address the putative biological function of two isoforms. Superimposition analysis of the 3D structure of hCD59 and schistosome sequences revealed that they contain the three-fingered protein domain (TFPD). However, the conserved amino acid residues involved in complement recognition in mammals could not be identified. Real-time RT-PCR and Western blot analysis determined that most of these genes are up-regulated in the transition from free-living cercaria to adult worm stage. Immunolocalization experiments and tegument preparations confirm that at least some of the SmCD59-like proteins are surface-localized; however, significant expression was also detected in internal tissues of adult worms. Finally, the involvement of two SmCD59 proteins in complement inhibition was evaluated by three different approaches: (i) a hemolytic assay using recombinant soluble forms expressed in Pichia pastoris and E. coli; (ii) complement-resistance of CHO cells expressing the respective membrane-anchored proteins; and (iii) the complement killing of schistosomula after gene suppression by RNAi. Our data indicated that these proteins are not involved in the regulation of complement activation. Conclusions: Our results suggest that this group of proteins belongs to the TFPD superfamily. Their expression is associated to intra-host stages, present in the tegument surface, and also in intra-parasite tissues. Three distinct approaches using SmCD59 proteins to inhibit complement strongly suggested that these proteins are not complement inhibitors and their function in schistosomes remains to be determined.

Multilevel Domain Decomposition Algorithms for Monolithic Fluid-Structure Interaction Problems with Application to Haemodynamics

Finite element techniques for solving the problem of fluid-structure interaction of an elastic solid material in a laminar incompressible viscous flow are described. The mathematical problem consists of the Navier-Stokes equations in the Arbitrary Lagrangian-Eulerian formulation coupled with a non-linear structure model, considering the problem as one continuum. The coupling between the structure and the fluid is enforced inside a monolithic framework which computes simultaneously for the fluid and the structure unknowns within a unique solver. We used the well-known Crouzeix-Raviart finite element pair for discretization in space and the method of lines for discretization in time. A stability result using the Backward-Euler time-stepping scheme for both fluid and solid part and the finite element method for the space discretization has been proved. The resulting linear system has been solved by multilevel domain decomposition techniques. Our strategy is to solve several local subproblems over subdomain patches using the Schur-complement or GMRES smoother within a multigrid iterative solver. For validation and evaluation of the accuracy of the proposed methodology, we present corresponding results for a set of two FSI benchmark configurations which describe the self-induced elastic deformation of a beam attached to a cylinder in a laminar channel flow, allowing stationary as well as periodically oscillating deformations, and for a benchmark proposed by COMSOL multiphysics where a narrow vertical structure attached to the bottom wall of a channel bends under the force due to both viscous drag and pressure. Then, as an example of fluid-structure interaction in biomedical problems, we considered the academic numerical test which consists in simulating the pressure wave propagation through a straight compliant vessel. All the tests show the applicability and the numerical efficiency of our approach to both two-dimensional and three-dimensional problems.

Biochemical analysis of the phosphatase domain of the human soluble epoxide hydrolase (sEH)

Die lösliche Epoxidhydrolase (sEH) gehört zur Familie der Epoxidhydrolase-Enzyme. Die Rolle der sEH besteht klassischerweise in der Detoxifikation, durch Umwandlung potenziell schädlicher Epoxide in deren unschädliche Diol-Form. Hauptsächlich setzt die sEH endogene, der Arachidonsäure verwandte Signalmoleküle, wie beispielsweise die Epoxyeicosatrienoic acid, zu den entsprechenden Diolen um. Daher könnte die sEH als ein Zielenzym in der Therapie von Bluthochdruck und Entzündungen sowie diverser anderer Erkrankungen eingesetzt werden. rnDie sEH ist ein Homodimer, in dem jede Untereinheit aus zwei Domänen aufgebaut ist. Das katalytische Zentrum der Epoxidhydrolaseaktivität befindet sich in der 35 kD großen C-terminalen Domäne. Dieser Bereich der sEH s wurde bereits im Detail untersucht und nahezu alle katalytischen Eigenschaften des Enzyms sowie deren dazugehörige Funktionen sind in Zusammenhang mit dieser Domäne bekannt. Im Gegensatz dazu ist über die 25 kD große N-terminale Domäne wenig bekannt. Die N-terminale Domäne der sEH wird zur Haloacid Dehalogenase (HAD) Superfamilie von Hydrolasen gezählt, jedoch war die Funktion dieses N-terminal Domäne lange ungeklärt. Wir haben in unserer Arbeitsgruppe zum ersten Mal zeigen können, dass die sEH in Säugern ein bifunktionelles Enzym ist, welches zusätzlich zur allgemein bekannten Enzymaktivität im C-terminalen Bereich eine weitere enzymatische Funktion mit Mg2+-abhängiger Phosphataseaktivität in der N-terminalen Domäne aufweist. Aufgrund der Homologie der N-terminalen Domäne mit anderen Enzymen der HAD Familie wird für die Ausübung der Phosphatasefunktion (Dephosphorylierung) eine Reaktion in zwei Schritten angenommen.rnUm den katalytischen Mechanismus der Dephosphorylierung weiter aufzuklären, wurden biochemische Analysen der humanen sEH Phosphatase durch Generierung von Mutationen im aktiven Zentrum mittels ortsspezifischer Mutagenese durchgeführt. Hiermit sollten die an der katalytischen Aktivität beteiligten Aminosäurereste im aktiven Zentrum identifiziert und deren Rolle bei der Dephosphorylierung spezifiziert werden. rnrnAuf Basis der strukturellen und möglichen funktionellen Ähnlichkeiten der sEH und anderen Mitgliedern der HAD Superfamilie wurden Aminosäuren (konservierte und teilweise konservierte Aminosäuren) im aktiven Zentrum der sEH Phosphatase-Domäne als Kandidaten ausgewählt.rnVon den Phosphatase-Domäne bildenden Aminosäuren wurden acht ausgewählt (Asp9 (D9), Asp11 (D11), Thr123 (T123), Asn124 (N124), Lys160 (K160), Asp184 (D184), Asp185 (D185), Asn189 (N189)), die mittels ortsspezifischer Mutagenese durch nicht funktionelle Aminosäuren ausgetauscht werden sollten. Dazu wurde jede der ausgewählten Aminosäuren durch mindestens zwei alternative Aminosäuren ersetzt: entweder durch Alanin oder durch eine Aminosäure ähnlich der im Wildtyp-Enzym. Insgesamt wurden 18 verschiedene rekombinante Klone generiert, die für eine mutante sEH Phosphatase Domäne kodieren, in dem lediglich eine Aminosäure gegenüber dem Wildtyp-Enzym ersetzt wurde. Die 18 Mutanten sowie das Wildtyp (Sequenz der N-terminalen Domäne ohne Mutation) wurden in einem Expressionsvektor in E.coli kloniert und die Nukleotidsequenz durch Restriktionsverdau sowie Sequenzierung bestätigt. Die so generierte N-terminale Domäne der sEH (25kD Untereinheit) wurde dann mittels Metallaffinitätschromatographie erfolgreich aufgereinigt und auf Phosphataseaktivität gegenüber des allgemeinen Substrats 4-Nitophenylphosphat getestet. Diejenigen Mutanten, die Phosphataseaktivität zeigten, wurden anschließend kinetischen Tests unterzogen. Basiered auf den Ergebnissen dieser Untersuchungen wurden kinetische Parameter mittels vier gut etablierter Methoden berechnet und die Ergebnisse mit der „direct linear blot“ Methode interpretiert. rnDie Ergebnisse zeigten, dass die meisten der 18 generierten Mutanten inaktiv waren oder einen Großteil der Enzymaktivität (Vmax) gegenüber dem Wildtyp verloren (WT: Vmax=77.34 nmol-1 mg-1 min). Dieser Verlust an Enzymaktivität ließ sich nicht durch einen Verlust an struktureller Integrität erklären, da der Wildtyp und die mutanten Proteine in der Chromatographie das gleiche Verhalten zeigten. Alle Aminosäureaustausche Asp9 (D9), Lys160 (K160), Asp184 (D184) und Asn189 (N189) führten zum kompletten Verlust der Phosphataseaktivität, was auf deren katalytische Funktion im N-terminalen Bereich der sEH hindeutet. Bei einem Teil der Aminosäureaustausche die für Asp11 (D11), Thr123 (T123), Asn124 (N124) und Asn185 (D185) durchgeführt wurden, kam es, verglichen mit dem Wildtyp, zu einer starken Reduktion der Phosphataseaktivität, die aber dennoch für die einzelnen Proteinmutanten in unterschiedlichem Ausmaß zu messen war (2 -10% and 40% of the WT enzyme activity). Zudem zeigten die Mutanten dieser Gruppe veränderte kinetische Eigenschaften (Vmax allein oder Vmax und Km). Dabei war die kinetische Analyse des Mutanten Asp11  Asn aufgrund der nur bei dieser Mutanten detektierbaren starken Vmax Reduktion (8.1 nmol-1 mg-1 min) und einer signifikanten Reduktion der Km (Asp11: Km=0.54 mM, WT: Km=1.3 mM), von besonderem Interesse und impliziert eine Rolle von Asp11 (D11) im zweiten Schritt der Hydrolyse des katalytischen Zyklus.rnZusammenfassend zeigen die Ergebnisse, dass alle in dieser Arbeit untersuchten Aminosäuren für die Phosphataseaktivität der sEH nötig sind und das aktive Zentrum der sEH Phosphatase im N-terminalen Bereich des Enzyms bilden. Weiterhin tragen diese Ergebnisse zur Aufklärung der potenziellen Rolle der untersuchten Aminosäuren bei und unterstützen die Hypothese, dass die Dephosphorylierungsreaktion in zwei Schritten abläuft. Somit ist ein kombinierter Reaktionsmechanismus, ähnlich denen anderer Enzyme der HAD Familie, für die Ausübung der Dephosphorylierungsfunktion denkbar. Diese Annahme wird gestützt durch die 3D-Struktur der N-terminalen Domäne, den Ergebnissen dieser Arbeit sowie Resultaten weiterer biochemischer Analysen. Der zweistufige Mechanismus der Dephosphorylierung beinhaltet einen nukleophilen Angriff des Substratphosphors durch das Nukleophil Asp9 (D9) des aktiven Zentrums unter Bildung eines Acylphosphat-Enzym-Zwischenprodukts, gefolgt von der anschließenden Freisetzung des dephosphorylierten Substrats. Im zweiten Schritt erfolgt die Hydrolyse des Enzym-Phosphat-Zwischenprodukts unterstützt durch Asp11 (D11), und die Freisetzung der Phosphatgruppe findet statt. Die anderen untersuchten Aminosäuren sind an der Bindung von Mg 2+ und/oder Substrat beteiligt. rnMit Hilfe dieser Arbeit konnte der katalytischen Mechanismus der sEH Phosphatase weiter aufgeklärt werden und wichtige noch zu untersuchende Fragestellungen, wie die physiologische Rolle der sEH Phosphatase, deren endogene physiologische Substrate und der genaue Funktionsmechanismus als bifunktionelles Enzym (die Kommunikation der zwei katalytischen Einheiten des Enzyms) wurden aufgezeigt und diskutiert.rn

Next-Generation Sequencing-Based Mutations Scanning Strategy of the BCR-ABL Kinase Domain in Patients with PhiladelPhia-Chromosome Positive Leukemias Treated with Tyrosine Kinase Inhibitors

In chronic myeloid leukemia and Philadelphia-positive acute lymphoblastic leukemia patients resistant to tyrosine kinase inhibitors (TKIs), BCR-ABL kinase domain mutation status is an essential component of the therapeutic decision algorithm. The recent development of Ultra-Deep Sequencing approach (UDS) has opened the way to a more accurate characterization of the mutant clones surviving TKIs conjugating assay sensitivity and throughput. We decided to set-up and validated an UDS-based for BCR-ABL KD mutation screening in order to i) resolve qualitatively and quantitatively the complexity and the clonal structure of mutated populations surviving TKIs, ii) study the dynamic of expansion of mutated clones in relation to TKIs therapy, iii) assess whether UDS may allow more sensitive detection of emerging clones, harboring critical 2GTKIs-resistant mutations predicting for an impending relapse, earlier than SS. UDS was performed on a Roche GS Junior instrument, according to an amplicon sequencing design and protocol set up and validated in the framework of the IRON-II (Interlaboratory Robustness of Next-Generation Sequencing) International consortium.Samples from CML and Ph+ ALL patients who had developed resistance to one or multiple TKIs and collected at regular time-points during treatment were selected for this study. Our results indicate the technical feasibility, accuracy and robustness of our UDS-based BCR-ABL KD mutation screening approach. UDS was found to provide a more accurate picture of BCR-ABL KD mutation status, both in terms of presence/absence of mutations and in terms of clonal complexity and showed that BCR-ABL KD mutations detected by SS are only the “tip of iceberg”. In addition UDS may reliably pick 2GTKIs-resistant mutations earlier than SS in a significantly greater proportion of patients.The enhanced sensitivity as well as the possibility to identify low level mutations point the UDS-based approach as an ideal alternative to conventional sequencing for BCR-ABL KD mutation screening in TKIs-resistant Ph+ leukemia patients

New markov chain based methods for single and cross-domain sentiment classification

Nowadays communication is switching from a centralized scenario, where communication media like newspapers, radio, TV programs produce information and people are just consumers, to a completely different decentralized scenario, where everyone is potentially an information producer through the use of social networks, blogs, forums that allow a real-time worldwide information exchange. These new instruments, as a result of their widespread diffusion, have started playing an important socio-economic role. They are the most used communication media and, as a consequence, they constitute the main source of information enterprises, political parties and other organizations can rely on. Analyzing data stored in servers all over the world is feasible by means of Text Mining techniques like Sentiment Analysis, which aims to extract opinions from huge amount of unstructured texts. This could lead to determine, for instance, the user satisfaction degree about products, services, politicians and so on. In this context, this dissertation presents new Document Sentiment Classification methods based on the mathematical theory of Markov Chains. All these approaches bank on a Markov Chain based model, which is language independent and whose killing features are simplicity and generality, which make it interesting with respect to previous sophisticated techniques. Every discussed technique has been tested in both Single-Domain and Cross-Domain Sentiment Classification areas, comparing performance with those of other two previous works. The performed analysis shows that some of the examined algorithms produce results comparable with the best methods in literature, with reference to both single-domain and cross-domain tasks, in $2$-classes (i.e. positive and negative) Document Sentiment Classification. However, there is still room for improvement, because this work also shows the way to walk in order to enhance performance, that is, a good novel feature selection process would be enough to outperform the state of the art. Furthermore, since some of the proposed approaches show promising results in $2$-classes Single-Domain Sentiment Classification, another future work will regard validating these results also in tasks with more than $2$ classes.

Femur Specific Polyaffine Model to Regularize the Log-Domain Demons Registration

Osteoarticular allograft transplantation is a popular treatment method in wide surgical resections with large defects. For this reason hospitals are building bone data banks. Performing the optimal allograft selection on bone banks is crucial to the surgical outcome and patient recovery. However, current approaches are very time consuming hindering an efficient selection. We present an automatic method based on registration of femur bones to overcome this limitation. We introduce a new regularization term for the log-domain demons algorithm. This term replaces the standard Gaussian smoothing with a femur specific polyaffine model. The polyaffine femur model is constructed with two affine (femoral head and condyles) and one rigid (shaft) transformation. Our main contribution in this paper is to show that the demons algorithm can be improved in specific cases with an appropriate model. We are not trying to find the most optimal polyaffine model of the femur, but the simplest model with a minimal number of parameters. There is no need to optimize for different number of regions, boundaries and choice of weights, since this fine tuning will be done automatically by a final demons relaxation step with Gaussian smoothing. The newly developed synthesis approach provides a clear anatomically motivated modeling contribution through the specific three component transformation model, and clearly shows a performance improvement (in terms of anatomical meaningful correspondences) on 146 CT images of femurs compared to a standard multiresolution demons. In addition, this simple model improves the robustness of the demons while preserving its accuracy. The ground truth are manual measurements performed by medical experts.

Run-Time Evolution through Explicit Meta-Objects

Software must be constantly adapted due to evolving domain knowledge and unanticipated requirements changes. To adapt a system at run-time we need to reflect on its structure and its behavior. Object-oriented languages introduced reflection to deal with this issue, however, no reflective approach up to now has tried to provide a unified solution to both structural and behavioral reflection. This paper describes Albedo, a unified approach to structural and behavioral reflection. Albedo is a model of fined-grained unanticipated dynamic structural and behavioral adaptation. Instead of providing reflective capabilities as an external mechanism we integrate them deeply in the environment. We show how explicit meta-objects allow us to provide a range of reflective features and thereby evolve both application models and environments at run-time.

Purification, cDNA structure and biological significance of a single insulin-like growth factor-binding domain protein (SIBD-1) identified in the hemocytes of the spider Cupiennius salei

Cupiennius salei single insulin-like growth factor-binding domain protein (SIBD-1), which exhibits an IGFBP N-terminal domain-like profile, was identified in the hemocytes of the spider C. salei. SIBD-1 was purified by RP-HPLC and the sequence determined by a combination of Edman degradation and 5'-3'- RACE PCR. The peptide (8676.08 Da) is composed of 78 amino acids, contains six intrachain disulphide bridges and carries a modified Thr residue at position 2. SIBD-1 mRNA expression was detected by quantitative real-time PCR mainly in hemocytes, but also in the subesophageal nerve mass and muscle. After infection, the SIBD-1 content in the hemocytes decreases and, simultaneously, the temporal SIBD-1 expression seems to be down-regulated. Two further peptides, SIBD-2 and IGFBP-rP1, also exhibiting IGFBP N-terminal domain variants with unknown functions, were identified on cDNA level in spider hemocytes and venom glands. We conclude that SIBD-1 may play an important role in the immune system of spiders.

Uncovering the dynamics of cardiac systems using stochastic pacing and frequency domain analyses

Alternans of cardiac action potential duration (APD) is a well-known arrhythmogenic mechanism which results from dynamical instabilities. The propensity to alternans is classically investigated by examining APD restitution and by deriving APD restitution slopes as predictive markers. However, experiments have shown that such markers are not always accurate for the prediction of alternans. Using a mathematical ventricular cell model known to exhibit unstable dynamics of both membrane potential and Ca2+ cycling, we demonstrate that an accurate marker can be obtained by pacing at cycle lengths (CLs) varying randomly around a basic CL (BCL) and by evaluating the transfer function between the time series of CLs and APDs using an autoregressive-moving-average (ARMA) model. The first pole of this transfer function corresponds to the eigenvalue (λalt) of the dominant eigenmode of the cardiac system, which predicts that alternans occurs when λalt≤−1. For different BCLs, control values of λalt were obtained using eigenmode analysis and compared to the first pole of the transfer function estimated using ARMA model fitting in simulations of random pacing protocols. In all versions of the cell model, this pole provided an accurate estimation of λalt. Furthermore, during slow ramp decreases of BCL or simulated drug application, this approach predicted the onset of alternans by extrapolating the time course of the estimated λalt. In conclusion, stochastic pacing and ARMA model identification represents a novel approach to predict alternans without making any assumptions about its ionic mechanisms. It should therefore be applicable experimentally for any type of myocardial cell.

Domain Name Transfer before Slovak and Czech Courts

In Europe, a disagreement persists in the courts about the possibility of plaintiffs to request a domain name transfer in domain name disputes. In the last ten years, Slovak and Czech courts also produced some jurisprudence on this issue. Interestingly, the BGH’s influential opinion in the shell.de decision, which denied domain name transfer as an available remedy under German law back in 2002, wasn’t initially followed. To the contrary, several Slovak and Czech decisions of lower courts allowed a domain name transfer using two different legal bases. This seemingly settled case law was rejected a few months ago by the globtour.cz decision of the Czech Supreme Court, which refused domain name transfers for the time being

Application of Time-Delay Estimation to Mixed Reality Multisensor Tracking

Spatial tracking is one of the most challenging and important parts of Mixed Reality environments. Many applications, especially in the domain of Augmented Reality, rely on the fusion of several tracking systems in order to optimize the overall performance. While the topic of spatial tracking sensor fusion has already seen considerable interest, most results only deal with the integration of carefully arranged setups as opposed to dynamic sensor fusion setups. A crucial prerequisite for correct sensor fusion is the temporal alignment of the tracking data from several sensors. Tracking sensors are typically encountered in Mixed Reality applications, are generally not synchronized. We present a general method to calibrate the temporal offset between different sensors by the Time Delay Estimation method which can be used to perform on-line temporal calibration. By applying Time Delay Estimation on the tracking data, we show that the temporal offset between generic Mixed Reality spatial tracking sensors can be calibrated. To show the correctness and the feasibility of this approach, we have examined different variations of our method and evaluated various combinations of tracking sensors. We furthermore integrated this time synchronization method into our UBITRACK Mixed Reality tracking framework to provide facilities for calibration and real-time data alignment.

Reanalysis-driven climate simulation over CORDEX North America domain using the Canadian Regional Climate Model, version 5: model performance evaluation

The performance of reanalysis-driven Canadian Regional Climate Model, version 5 (CRCM5) in reproducing the present climate over the North American COordinated Regional climate Downscaling EXperiment domain for the 1989–2008 period has been assessed in comparison with several observation-based datasets. The model reproduces satisfactorily the near-surface temperature and precipitation characteristics over most part of North America. Coastal and mountainous zones remain problematic: a cold bias (2–6 °C) prevails over Rocky Mountains in summertime and all year-round over Mexico; winter precipitation in mountainous coastal regions is overestimated. The precipitation patterns related to the North American Monsoon are well reproduced, except on its northern limit. The spatial and temporal structure of the Great Plains Low-Level Jet is well reproduced by the model; however, the night-time precipitation maximum in the jet area is underestimated. The performance of CRCM5 was assessed against earlier CRCM versions and other RCMs. CRCM5 is shown to have been substantially improved compared to CRCM3 and CRCM4 in terms of seasonal mean statistics, and to be comparable to other modern RCMs.

Frequency-domain source localization shows state-dependent diazepam effects in 47-channel EEG

The topic of this study was to evaluate state-dependent effects of diazepam on the frequency characteristics of 47-channel spontaneous EEG maps. A novel method, the FFT-Dipole-Approximation (Lehmann and Michel, 1990), was used to study effects on the strength and the topography of the maps in the different frequency bands. Map topography was characterized by the 3-dimensional location of the equivalent dipole source and map strength was defined as the spatial standard deviation (the Global Field Power) of the maps of each frequency point. The Global Field Power can be considered as a measure of the amount of energy produced by the system, while the source location gives an estimate of the center of gravity of all sources in the brain that were active at a certain frequency. State-dependency was studied by evaluating the drug effects before and after a continuous performance task of 25 min duration. Clear interactions between drug (diazepam vs. placebo) and time after drug intake (before and after the task) were found, especially in the inferior-superior location of the dipole sources. It supports the hypothesis that diazepam, like other drugs, has different effects on brain functions depending on the momentary functional state of the brain. In addition to the drug effects, clearly different source locations and Global Field Power were found for the different frequency bands, replicating earlier reports (Michel et al., 1992).

Inhibition of Fas-associated death domain-containing protein (FADD) protects against myocardial ischemia/reperfusion injury in a heart failure mouse model

AIM As technological interventions treating acute myocardial infarction (MI) improve, post-ischemic heart failure increasingly threatens patient health. The aim of the current study was to test whether FADD could be a potential target of gene therapy in the treatment of heart failure. METHODS Cardiomyocyte-specific FADD knockout mice along with non-transgenic littermates (NLC) were subjected to 30 minutes myocardial ischemia followed by 7 days of reperfusion or 6 weeks of permanent myocardial ischemia via the ligation of left main descending coronary artery. Cardiac function were evaluated by echocardiography and left ventricular (LV) catheterization and cardiomyocyte death was measured by Evans blue-TTC staining, TUNEL staining, and caspase-3, -8, and -9 activities. In vitro, H9C2 cells transfected with ether scramble siRNA or FADD siRNA were stressed with chelerythrin for 30 min and cleaved caspase-3 was assessed. RESULTS FADD expression was significantly decreased in FADD knockout mice compared to NLC. Ischemia/reperfusion (I/R) upregulated FADD expression in NLC mice, but not in FADD knockout mice at the early time. FADD deletion significantly attenuated I/R-induced cardiac dysfunction, decreased myocardial necrosis, and inhibited cardiomyocyte apoptosis. Furthermore, in 6 weeks long term permanent ischemia model, FADD deletion significantly reduced the infarct size (from 41.20 ± 3.90% in NLC to 26.83 ± 4.17% in FADD deletion), attenuated myocardial remodeling, improved cardiac function and improved survival. In vitro, FADD knockdown significantly reduced chelerythrin-induced the level of cleaved caspase-3. CONCLUSION Taken together, our results suggest FADD plays a critical role in post-ischemic heart failure. Inhibition of FADD retards heart failure progression. Our data supports the further investigation of FADD as a potential target for genetic manipulation in the treatment of heart failure.