Systematic Review on the Efficacy of Fexofenadine in Seasonal Allergic Rhinitis: A Meta-Analysis of Randomized, Double-Blind, Placebo-Controlled Clinical Trials

Rationale: Evidence-based medicine represents the effort to highlight the best intervention for patients, clinicians, and policy makers, each from their respective viewpoint, to solve a particular health condition. According to a recently diffused grading system of evidence and recommendations for medical interventions, efficacy and safety represent 2 of the most important features to consider, and data from meta-analyses of randomized controlled clinical trials (RCTs) is the strongest supporting demonstration. Fexofenadine has been used for its efficacy and safety in the treatment of allergic rhinitis (AR) for many years although no meta-analyses supporting its use currently exist. The aim of this study is to assess for the first time the efficacy and safety of fexofenadine in the treatment of AR by means of a meta-analytic analysis of existing RCTs. Since specific evidence should be provided to address recommendations in a pediatric population, the quality of the estimates of this subgroup analysis is assessed. Methods: All double-blind, placebo-controlled randomized trials assessing the efficacy of fexofenadine in AR were searched for in OVID, Medline, and Embase databases up to December 2007. Outcomes were extracted from original articles; when this information was not available, the authors of each trial were contacted. Some graphics were digitalized. The RevMan 5 program was used to perform the analysis. GradePro 3.2.2 was used to assess the quality of the evidence for a pediatric population. Results: Of 2,152 identified articles, 20 were potentially relevant trials. Eight studies satisfied the inclusion criteria and were included in the meta-analysis. The main reasons for exclusion were: unnatural exposure, strong study limitations, an atypical outcome measurement, a design for other outcomes, and not being a placebo-controlled, single-blind study. Seven trials investigated a mixed population of adults and children, 1 trial investigated only children, and 1 trial only adults. In 1,833 patients receiving fexofenadine (1,699 placebo), a significant reduction of the daily reflective total symptom scores (TSS) (SMD –0.42; 95% CI –0.49 to –0.35, p < 0.00001) was found. Positive results were also found for morning instantaneous TSS and individual nasal symptom scores (sneezing, rhinorrhea, itching, and congestion). The safety analysis did not show a significant difference in reported adverse events (AE) between the active and placebo treatment groups (OR = 1.03; 95% CI 0.87–1.22, p = 0.75). A very low heterogeneity between the studies was detected, so a fixed-effects model was used. The mean quality level of the included trials was medium. Specific information for a pediatric population may be assumed with a moderate quality of evidence from only 1 study and with a low quality of evidence, mainly due to indirectness, from the others. Conclusions: This study has 5 major strengths: it represents the first attempt to evaluate the efficacy and safety of fexofenadine in the treatment of AR by means of a meta-analysis of RCTs; there was consistency between positive results in terms of efficacy in TSS and in individual symptoms; a large population was studied; there was an irrelevant interstudy heterogeneity, and the AE frequency was similar in both groups. All of these values encourage the recommendation of fexofenadine for AR. Further research focused on the benefits and disadvantages for a pediatric population is needed

Temporally delayed linear modelling (TDLM) measures replay in both animals and humans

There are rich structures in off-task neural activity which are hypothesised to reflect fundamental computations across a broad spectrum of cognitive functions. Here, we develop an analysis toolkit - Temporal Delayed Linear Modelling (TDLM) for analysing such activity. TDLM is a domain-general method for finding neural sequences that respect a pre-specified transition graph. It combines nonlinear classification and linear temporal modelling to test for statistical regularities in sequences of task-related reactivations. TDLM is developed on the non-invasive neuroimaging data and is designed to take care of confounds and maximize sequence detection ability. Notably, as a linear framework, TDLM can be easily extended, without loss of generality, to capture rodent replay in electrophysiology, including in continuous spaces, as well as addressing second-order inference questions, e.g., its temporal and spatial varying pattern. We hope TDLM will advance a deeper understanding of neural computation and promote a richer convergence between animal and human neuroscience

Temporally delayed linear modelling (TDLM) measures replay in both animals and humans

There are rich structures in off-task neural activity which are hypothesised to reflect fundamental computations across a broad spectrum of cognitive functions. Here, we develop an analysis toolkit - Temporal Delayed Linear Modelling (TDLM) for analysing such activity. TDLM is a domain-general method for finding neural sequences that respect a pre-specified transition graph. It combines nonlinear classification and linear temporal modelling to test for statistical regularities in sequences of task-related reactivations. TDLM is developed on the non-invasive neuroimaging data and is designed to take care of confounds and maximize sequence detection ability. Notably, as a linear framework, TDLM can be easily extended, without loss of generality, to capture rodent replay in electrophysiology, including in continuous spaces, as well as addressing second-order inference questions, e.g., its temporal and spatial varying pattern. We hope TDLM will advance a deeper understanding of neural computation and promote a richer convergence between animal and human neuroscience

Estado actual del Banco de Germoplasma Animal en Colombia: organización y manejo

During the last two decades, Colombia has made enormous progress in conserving some of the most relevant zoogenetic resources vital for agricultural production and the food industry. The primary purpose of conserving these local animal genetic resources has been the recovery of these animal breeds (cattle, pigs, and sheep) that presented a high risk of disappearance and therefore establish pure animal collections that allow the researchers to develop conservation programs. Nowadays, these collections are funded by the Colombian government and properly conserved in research centres in AGROSAVIA under in vivo and in vitro conservation systems. The main objective of conserving the local herds has been to maintain the genetic variability of the creole breeds and also generate strategies to strengthen the conservation, characterization and their promotion and use, always considering initiatives that lead to the increase of animal productivity and bearing in mind the threats that creole breeds are facing, such as the intensification of the agricultural production systems, the effects of climate change, and the high maintenance costs incurred by the Animal Germplasm Bank in Colombia. The success of the conservation of animal genetic resources in Colombia will depend to a great extent on the appropriation and acceptance of Colombian farmers for the insertion of these creole breeds in their agricultural production systems. On the other hand, the Animal Germplasm Bank should incorporate in a short period time other species or breeds currently at a high risk of disappearing and important for the agricultural system.En las últimas dos décadas, Colombia ha realizado grandes avances en la conservación de algunos de sus recursos zoogenéticos importantes para la producción agropecuaria y la alimentación. El propósito inicial de conservar estos recursos zoogenéticos locales, fue el de recuperar razas de animales, principalmente bovinos, porcinos y ovinos que estaban a punto de desaparecer y establecer así núcleos puros que permitieran desarrollar programas para su conservación. Actualmente, estos animales se mantienen en centros de investigación de AGROSAVIA gracias al apoyo del gobierno colombiano en sistemas de conservación in vivo e in vitro. Desde su inicio, la estrategia de conservar estos núcleos ha sido mantener la variabilidad genética de las razas criollas y generar estrategias para fortalecer su conservación, caracterización, promoción y uso, sin dejar a un lado iniciativas que permitan incrementar la productividad animal y enfrentar los desafíos como la intensificación de los sistemas productivos, los efectos del cambio climático y los altos costos de mantenimiento en que incurre el Banco de Germoplasma Animal en Colombia. El éxito de la conservación de los recursos zoogenéticos en Colombia, dependerá en gran medida de la apropiación y aceptación de los productores colombianos para la inserción de estas razas en los sistemas de producción agropecuaria. Por otro lado, se requiere que el Banco de Germoplasma Animal incorpore otras especies o razas que se encuentran igualmente en peligro de desaparecer, y no cuentan con la protección del gobierno local

Automatic reconstruction of a bacterial regulatory network using Natural Language Processing

<p>Abstract</p> <p>Background</p> <p>Manual curation of biological databases, an expensive and labor-intensive process, is essential for high quality integrated data. In this paper we report the implementation of a state-of-the-art Natural Language Processing system that creates computer-readable networks of regulatory interactions directly from different collections of abstracts and full-text papers. Our major aim is to understand how automatic annotation using Text-Mining techniques can complement manual curation of biological databases. We implemented a rule-based system to generate networks from different sets of documents dealing with regulation in <it>Escherichia coli </it>K-12.</p> <p>Results</p> <p>Performance evaluation is based on the most comprehensive transcriptional regulation database for any organism, the manually-curated RegulonDB, 45% of which we were able to recreate automatically. From our automated analysis we were also able to find some new interactions from papers not already curated, or that were missed in the manual filtering and review of the literature. We also put forward a novel Regulatory Interaction Markup Language better suited than SBML for simultaneously representing data of interest for biologists and text miners.</p> <p>Conclusion</p> <p>Manual curation of the output of automatic processing of text is a good way to complement a more detailed review of the literature, either for validating the results of what has been already annotated, or for discovering facts and information that might have been overlooked at the triage or curation stages.</p

Specific immunotherapy by the sublingual route for respiratory allergy

Specific immunotherapy is the only treatment able to act on the causes and not only on the symptoms of respiratory allergy. Sublingual immunotherapy (SLIT) was introduced as an option to subcutaneous immunotherapy (SCIT), the clinical effectiveness of which is partly counterbalanced by the issue of adverse systemic reactions, which occur at a frequency of about 0.2% of injections and 2-5% of the patients and may also be life-threatening. A large number of trials, globally evaluated by several meta-analyses, demonstrated that SLIT is an effective and safe treatment for allergic rhinitis and allergic asthma, severe reactions being extremely rare. The application of SLIT is favored by a good compliance, higher than that reported for SCIT, in which the injections are a major factor for noncompliance because of inconvenience, and by its cost-effectiveness. In fact, a number of studies showed that SLIT may be very beneficial to the healthcare system, especially when its effectiveness persists after treatment withdrawal because of the induced immunologic changes

GenCLiP: a software program for clustering gene lists by literature profiling and constructing gene co-occurrence networks related to custom keywords

<p>Abstract</p> <p>Background</p> <p>Biomedical researchers often want to explore pathogenesis and pathways regulated by abnormally expressed genes, such as those identified by microarray analyses. Literature mining is an important way to assist in this task. Many literature mining tools are now available. However, few of them allows the user to make manual adjustments to zero in on what he/she wants to know in particular.</p> <p>Results</p> <p>We present our software program, GenCLiP (Gene Cluster with Literature Profiles), which is based on the methods presented by Chaussabel and Sher (<it>Genome Biol </it>2002, 3(10):RESEARCH0055) that search gene lists to identify functional clusters of genes based on up-to-date literature profiling. Four features were added to this previously described method: the ability to 1) manually curate keywords extracted from the literature, 2) search genes and gene co-occurrence networks related to custom keywords, 3) compare analyzed gene results with negative and positive controls generated by GenCLiP, and 4) calculate probabilities that the resulting genes and gene networks are randomly related. In this paper, we show with a set of differentially expressed genes between keloids and normal control, how implementation of functions in GenCLiP successfully identified keywords related to the pathogenesis of keloids and unknown gene pathways involved in the pathogenesis of keloids.</p> <p>Conclusion</p> <p>With regard to the identification of disease-susceptibility genes, GenCLiP allows one to quickly acquire a primary pathogenesis profile and identify pathways involving abnormally expressed genes not previously associated with the disease.</p