Simple estimation of incident HIV infection rates in notification cohorts based on window periods of algorithms for evaluation of line-immunoassay result patterns.

BACKGROUND: Tests for recent infections (TRIs) are important for HIV surveillance. We have shown that a patient's antibody pattern in a confirmatory line immunoassay (Inno-Lia) also yields information on time since infection. We have published algorithms which, with a certain sensitivity and specificity, distinguish between incident (< = 12 months) and older infection. In order to use these algorithms like other TRIs, i.e., based on their windows, we now determined their window periods. METHODS: We classified Inno-Lia results of 527 treatment-naïve patients with HIV-1 infection < = 12 months according to incidence by 25 algorithms. The time after which all infections were ruled older, i.e. the algorithm's window, was determined by linear regression of the proportion ruled incident in dependence of time since infection. Window-based incident infection rates (IIR) were determined utilizing the relationship 'Prevalence = Incidence x Duration' in four annual cohorts of HIV-1 notifications. Results were compared to performance-based IIR also derived from Inno-Lia results, but utilizing the relationship 'incident = true incident + false incident' and also to the IIR derived from the BED incidence assay. RESULTS: Window periods varied between 45.8 and 130.1 days and correlated well with the algorithms' diagnostic sensitivity (R(2) = 0.962; P<0.0001). Among the 25 algorithms, the mean window-based IIR among the 748 notifications of 2005/06 was 0.457 compared to 0.453 obtained for performance-based IIR with a model not correcting for selection bias. Evaluation of BED results using a window of 153 days yielded an IIR of 0.669. Window-based IIR and performance-based IIR increased by 22.4% and respectively 30.6% in 2008, while 2009 and 2010 showed a return to baseline for both methods. CONCLUSIONS: IIR estimations by window- and performance-based evaluations of Inno-Lia algorithm results were similar and can be used together to assess IIR changes between annual HIV notification cohorts.

Eliminating heterophilic antibody interference for ferritin detection using Olympus F(ab')2 based reagent.

Interferences with the Olympus immunoturbidimetric assay for ferritin have been reported because the antibodies used in the immunoassay are derived from rabbits. Rabbits are familiar pets known to be a risk factor for developing heterophilic (or interfering) antibodies. This report shows how the current Olympus Ferritin assay has been improved to eliminate the interference from heterophilic antibodies.

Chitosan-based nanogels for selective delivery of photosensitizers to macrophages and improved retention in and therapy of articular joints.

Macrophages play key roles in inflammatory disorders. Therefore, they are targets of treatments aiming at their local destruction in inflammation sites. However, injection of low molecular mass therapeutics, including photosensitizers, in inflamed joints results in their rapid efflux out of the joints, and poor therapeutic index. To improve selective uptake and increase retention of therapeutics in inflamed tissues, hydrophilic nanogels based on chitosan, of which surface was decorated with hyaluronate and which were loaded with one of three different anionic photosensitizers were developed. Optimal uptake of these functionalized nanogels by murine RAW 264.7 or human THP-1 macrophages as models was achieved after <4h incubation, whereas only negligible uptake by murine fibroblasts used as control cells was observed. The uptake by cells and the intracellular localization of the photosensitizers, of the fluorescein-tagged chitosan and of the rhodamine-tagged hyaluronate were confirmed by fluorescence microscopy. Photodynamic experiments revealed good cell photocytotoxicity of the photosensitizers entrapped in the nanogels. In a mouse model of rheumatoid arthritis, injection of free photosensitizers resulted in their rapid clearance from the joints, while nanogel-encapsulated photosensitizers were retained in the inflamed joints over a longer period of time. The photodynamic treatment of the inflamed joints resulted in a reduction of inflammation comparable to a standard corticoid treatment. Thus, hyaluronate-chitosan nanogels encapsulating therapeutic agents are promising materials for the targeted delivery to macrophages and long-term retention of therapeutics in leaky inflamed articular joints.

Towards robust network based complex systems : from evolutionary cellular automata to biological models

Abstract Sitting between your past and your future doesn't mean you are in the present. Dakota Skye Complex systems science is an interdisciplinary field grouping under the same umbrella dynamical phenomena from social, natural or mathematical sciences. The emergence of a higher order organization or behavior, transcending that expected of the linear addition of the parts, is a key factor shared by all these systems. Most complex systems can be modeled as networks that represent the interactions amongst the system's components. In addition to the actual nature of the part's interactions, the intrinsic topological structure of underlying network is believed to play a crucial role in the remarkable emergent behaviors exhibited by the systems. Moreover, the topology is also a key a factor to explain the extraordinary flexibility and resilience to perturbations when applied to transmission and diffusion phenomena. In this work, we study the effect of different network structures on the performance and on the fault tolerance of systems in two different contexts. In the first part, we study cellular automata, which are a simple paradigm for distributed computation. Cellular automata are made of basic Boolean computational units, the cells; relying on simple rules and information from- the surrounding cells to perform a global task. The limited visibility of the cells can be modeled as a network, where interactions amongst cells are governed by an underlying structure, usually a regular one. In order to increase the performance of cellular automata, we chose to change its topology. We applied computational principles inspired by Darwinian evolution, called evolutionary algorithms, to alter the system's topological structure starting from either a regular or a random one. The outcome is remarkable, as the resulting topologies find themselves sharing properties of both regular and random network, and display similitudes Watts-Strogtz's small-world network found in social systems. Moreover, the performance and tolerance to probabilistic faults of our small-world like cellular automata surpasses that of regular ones. In the second part, we use the context of biological genetic regulatory networks and, in particular, Kauffman's random Boolean networks model. In some ways, this model is close to cellular automata, although is not expected to perform any task. Instead, it simulates the time-evolution of genetic regulation within living organisms under strict conditions. The original model, though very attractive by it's simplicity, suffered from important shortcomings unveiled by the recent advances in genetics and biology. We propose to use these new discoveries to improve the original model. Firstly, we have used artificial topologies believed to be closer to that of gene regulatory networks. We have also studied actual biological organisms, and used parts of their genetic regulatory networks in our models. Secondly, we have addressed the improbable full synchronicity of the event taking place on. Boolean networks and proposed a more biologically plausible cascading scheme. Finally, we tackled the actual Boolean functions of the model, i.e. the specifics of how genes activate according to the activity of upstream genes, and presented a new update function that takes into account the actual promoting and repressing effects of one gene on another. Our improved models demonstrate the expected, biologically sound, behavior of previous GRN model, yet with superior resistance to perturbations. We believe they are one step closer to the biological reality.

VIKI : a semiotic-based system for multilingual knowledge retrieval

Abstract Since its creation, the Internet has permeated our daily life. The web is omnipresent for communication, research and organization. This exploitation has resulted in the rapid development of the Internet. Nowadays, the Internet is the biggest container of resources. Information databases such as Wikipedia, Dmoz and the open data available on the net are a great informational potentiality for mankind. The easy and free web access is one of the major feature characterizing the Internet culture. Ten years earlier, the web was completely dominated by English. Today, the web community is no longer only English speaking but it is becoming a genuinely multilingual community. The availability of content is intertwined with the availability of logical organizations (ontologies) for which multilinguality plays a fundamental role. In this work we introduce a very high-level logical organization fully based on semiotic assumptions. We thus present the theoretical foundations as well as the ontology itself, named Linguistic Meta-Model. The most important feature of Linguistic Meta-Model is its ability to support the representation of different knowledge sources developed according to different underlying semiotic theories. This is possible because mast knowledge representation schemata, either formal or informal, can be put into the context of the so-called semiotic triangle. In order to show the main characteristics of Linguistic Meta-Model from a practical paint of view, we developed VIKI (Virtual Intelligence for Knowledge Induction). VIKI is a work-in-progress system aiming at exploiting the Linguistic Meta-Model structure for knowledge expansion. It is a modular system in which each module accomplishes a natural language processing task, from terminology extraction to knowledge retrieval. VIKI is a supporting system to Linguistic Meta-Model and its main task is to give some empirical evidence regarding the use of Linguistic Meta-Model without claiming to be thorough.

Is There a Crime Drop in Western Europe?

Combining data from police statistics and crime victim surveys, this article analyses the evolution of crime in Western Europe from 1988 to 2007. The results show that there is no general drop in crime. Property offences and homicide have been decreasing since the mid 1990s, while violent and drug offences have increased during the period under study. These trends highlight the limits of the explanations to the crime drop in the United States, which are based on the premise of a correlation in the evolution of all offences. The drop in property offences seems related to changes in the socioeconomic situation in Europe as well as to increases in security measures in households, and the reinforcement of private security. The increase in violent offences can be explained by the combination of several factors, including changes in youth's free time provoked by the development of the Internet, changing demographics, and the rise of episodic heavy alcohol consumption and street gangs.

The AO comprehensive classification of pediatric long-bone fractures: a web-based multicenter agreement study.

The first AO comprehensive pediatric long-bone fracture classification system has been proposed following a structured path of development and validation with experienced pediatric surgeons. A Web-based multicenter agreement study involving 70 surgeons in 15 clinics and 5 countries was conducted to assess the reliability and accuracy of this classification when used by a wide range of surgeons with various levels of experience. Training was provided at each clinic before the session. Using the Internet, participants could log in at any time and classify 275 supracondylar, radius, and tibia fractures at their own pace. The fracture diagnosis was made following the hierarchy of the classification system using both clinical terminology and codes. kappa coefficients for the single-surgeon diagnosis of epiphyseal, metaphyseal, or diaphyseal fracture type were 0.66, 0.80, and 0.91, respectively. Median accuracy estimates for each bone and type were all greater than 80%. Depending on their experience and specialization, surgeons greatly varied in their ability to classify fractures. Pediatric training and at least 2 years of experience were associated with significant improvement in reliability and accuracy. Kappa coefficients for diagnosis of specific child patterns were 0.51, 0.63, and 0.48 for epiphyseal, metaphyseal, and diaphyseal fractures, respectively. Identified reasons for coding discrepancies were related to different understandings of terminology and definitions, as well as poor quality radiographic images. Results supported some minor adjustments in the coding of fracture type and child patterns. This classification system received wide acceptance and support among the surgeons involved. As long as appropriate training could be performed, the system classification was reliable, especially among surgeons with a minimum of 2 years of clinical experience. We encourage broad-based consultation between surgeons' international societies and the use of this classification system in the context of clinical practice as well as prospectively for clinical studies.

Reputation based on punishment rather than generosity allows for evolution of cooperation in sizable groups

Cooperation among unrelated individuals can arise if decisions to help others can be based on reputation. While working for dyadic interactions, reputation-use in social dilemmas involving many individuals (e.g. public goods games) becomes increasingly difficult as groups become larger and errors more frequent. Reputation is therefore believed to have played a minor role for the evolution of cooperation in collective action dilemmas such as those faced by early humans. Here, we show in computer simulations that a reputation system based on punitive actions can overcome these problems and, compared to reputation system based on generous actions, (i) is more likely to lead to the evolution of cooperation in sizable groups, (ii) more effectively sustains cooperation within larger groups, and (iii) is more robust to errors in reputation assessment. Punishment and punishment reputation could therefore have played crucial roles in the evolution of cooperation within larger groups of humans.

The adaptative function of melanin-based colour variants

Résumé : Les mécanismes de contrôle des couleurs mélaniques chez les vertébrés sont encore discutés parmi les biologistes de l'évolution. Une hypothèse récente affirme que les effets pléiotropies du système des mélanocortines expliquent l'association fréquente entre la coloration eumélanique noire (due à la déposition d'eumélanine) et de nombreux traits physiologiques et comportementaux. De nombreuses études suggèrent, en effet, que des niveaux plus élevés des mélanocortines induisent l'assombrissement des téguments eumélaniques et affectent d'autres traits phénotypiques simultanément. Cependant, il n'est pas encore établi si ce mécanisme de pléiotropie peut s'appliquer aux colorations dues à la déposition de phaeomélanine, une autre forme commune de mélanine. Les antagonistes des mélanocortines déclenchent le phaeomélanogenèse et bloquent l'effet des mélanocortines ou ont un effet pharmacologique opposé. Nous nous proposons donc d'évaluer l'hypothèse que les effets pléiotropes des antagonistes des mélanocortines génèrent des covariations entre la coloration phaeomélanique et des aspects de la qualité individuelle. Comme prédit par cette hypothèse, nous constatons chez la chouette effraie (Tyto alba) que les traits phénotypiques (résistance au stress oxydatif et aux parasites) corrèlent positivement au degré d'expression d'une couleur eumélanique mais négativement au degré d'expression d'une coloration phaeomélanique. Puis, nous montrons chez la chouette hulotte (Strix aluco) que les associations génétiques entre la coloration phaeomélanique et la physiologie (immunité et la régulation de l'homéostasie) confèrent des avantages aux individus de différentes couleurs dans différents environnements caractérisés par l'abondance de nourriture et le niveau d'exposition aux parasites. Ainsi, nos études soutiennent l'hypothèse que les effets pléiotropes des antagonistes des mélanocortines génèrent des covariations entre les traits mélaniques et divers aspects de la qualité individuelle. Finalement, nous montrons chez le faucon crécerelle (Falco Tinnunculus) que l'expression des ornements mélaniques est sensible à la qualité de l'environnement dans lequel les individus grandissent. Ceci suggère que les gènes codant pour les mélanocortines et leurs antagonistes pourraient induire une expression des traits mélaniques dépendante de la condition de l'individu, un pattern d'expression rarement observé pour des traits généralement sous fort contrôle génétique. Summary : The information content and control mechanisms of melanin-based colour signals in vertebrates are still debated among evolutionary biologists. A recent hypothesis contends that pleiotropic effects of the melanocortin system accounts for the frequent association between black eumelanic coloration and physiological and behavioural traits. Accordingly, empirical evidence suggests that higher levels of melanocortins concurrently promote darker eumelanic integuments and affect other phenotypic traits. However, whether this mechanism may apply to signals relying on phaeomelanin, another common form of melanin pigments, remains to be established. Melanocortin antagonists trigger phaeomelanogenesis and block the effect of melanocortins or result in the opposite pharmacological effect. Therefore, we tested the hypothesis that pleiotropic effects of melanocortin antagonists and inverse agonists account for covariations between phaeomelanin-based coloration and aspects of individual quality. As predicted, we found that phenotypic traits (resistance to oxidative stress and parasites) correlated positively with a eumelanic trait and negatively with a phaeomelanic trait in the barn owl (Tyto alba). Then, we showed in the tawny owl (Strix aluco) that genetic associations between phaeomelanin-based coloration and physiology (immunity and regulation of energy homeostasis) confer benefits to differently coloured individuals under different levels of food abundance and parasite exposure. Altogether, our studies support the hypothesis that pleiotropic effects of melanocortins antagonists can indeed account for covariations between phaeomelanin-based traits and aspects of individual quality. Eventually, we show in the Eurasian kestrel (Falco Tinnunculus) that expression of melanin-based ornaments is sensitive to the environment in which individuals grow. This suggests that genes coding for melanocortins and their antagonists can mediate the condition-dependent component of melanin-based traits.

Appropriateness of early management of newly diagnosed Crohn's disease in a European population-based cohort.

OBJECTIVE: The European Panel on the Appropriateness of Crohn's disease Therapy (EPACT) has developed appropriateness criteria. We have applied these criteria retrospectively to the population-based inception cohort of Crohn's disease (CD) patients of the European Collaborative Study Group on Inflammatory Bowel Disease (EC-IBD). MATERIAL AND METHODS: A total of 426 diagnosed CD patients from 13 European centers were enrolled at the time of diagnosis (first flare, naive patients). We used the EPACT definitions to identify 247 patients with active luminal CD. We then assessed the appropriateness of the initial drug prescription according to the EPACT criteria. RESULTS: Among the cohort patients 163 suffered from mild-to-moderate CD and 84 from severe CD. Among the mild-to-moderate disease group, 96 patients (59%) received an appropriate treatment, whereas for 66 patients (40%) the treatment was uncertain and in one case (1%) inappropriate. Among the severe disease group, 86% were treated medically and 14% required surgery. 59 (70%) were appropriately treated, whereas for one patient (1%) the procedure was considered uncertain and for 24 patients (29%) inappropriate. CONCLUSION: Initial treatment was appropriate in the majority of cases for non-complicated luminal CD. Inappropriate or uncertain treatment was given in a significant minority of patients, with an increased potential risk of adverse events.

Development of improved soluble inhibitors of FasL and CD40L based on oligomerized receptors.

TNF receptor family members fused to the constant domain of immunoglobulin G have been widely used as immunoadhesins in basic in vitro and in vivo research and in some clinical applications. In this study, we assemble soluble, high avidity chimeric receptors on a pentameric scaffold derived from the coiled-coil domain of cartilage oligomeric matrix protein (COMP). The affinity of Fas and CD40 (but not TNFR-1 and TRAIL-R2) to their ligands is increased by fusion to COMP, when compared to the respective Fc chimeras. In functional assays, Fas:COMP was at least 20-fold more active than Fas:Fc at inhibiting the action of sFasL, and CD40:COMP could block CD40L-mediated proliferation of B cells, whereas CD40:Fc could not. In conclusion, members of the TNF receptor family can display high specificity and excellent avidity for their ligands if they are adequately multimerized.

Meta-analysis of gene-level associations for rare variants based on single-variant statistics.

Meta-analysis of genome-wide association studies (GWASs) has led to the discoveries of many common variants associated with complex human diseases. There is a growing recognition that identifying "causal" rare variants also requires large-scale meta-analysis. The fact that association tests with rare variants are performed at the gene level rather than at the variant level poses unprecedented challenges in the meta-analysis. First, different studies may adopt different gene-level tests, so the results are not compatible. Second, gene-level tests require multivariate statistics (i.e., components of the test statistic and their covariance matrix), which are difficult to obtain. To overcome these challenges, we propose to perform gene-level tests for rare variants by combining the results of single-variant analysis (i.e., p values of association tests and effect estimates) from participating studies. This simple strategy is possible because of an insight that multivariate statistics can be recovered from single-variant statistics, together with the correlation matrix of the single-variant test statistics, which can be estimated from one of the participating studies or from a publicly available database. We show both theoretically and numerically that the proposed meta-analysis approach provides accurate control of the type I error and is as powerful as joint analysis of individual participant data. This approach accommodates any disease phenotype and any study design and produces all commonly used gene-level tests. An application to the GWAS summary results of the Genetic Investigation of ANthropometric Traits (GIANT) consortium reveals rare and low-frequency variants associated with human height. The relevant software is freely available.