Genomic diversity of the human pathogen Paracoccidioides across the South American continent

Paracoccidioidomycosis (PCM) is a life-threatening systemic mycosis widely reported in the Gran Chaco ecosystem. The disease is caused by different species from the genus Paracoccidioides, which are all endemic to South and Central America. Here, we sequenced and analyzed 31 isolates of Paracoccidioides across South America, with particular focus on isolates from Argentina and Paraguay. The de novo sequenced isolates were compared with publicly available genomes. Phylogenetics and population genomics revealed that PCM in Argentina and Paraguay is caused by three distinct Paracoccidioides genotypes, P. brasiliensis (S1a and S1b) and P. restrepiensis (PS3). P. brasiliensis S1a isolates from Argentina are frequently associated with chronic forms of the disease. Our results suggest the existence of extensive molecular polymorphism among Paracoccidioides species, and provide a framework to begin to dissect the connection between genotypic differences in the pathogen and the clinical outcomes of the disease.Fil: Teixeira, Marcus de Melo. Universidade do Brasília; BrasilFil: Cattana, Maria Emilia. Universidad Nacional del Nordeste. Instituto de Medicina Regional; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste; ArgentinaFil: Matute, Daniel R.. University of North Carolina; Estados UnidosFil: Muñoz, José F.. Broad Institute Of Mit And Harvard; Estados UnidosFil: Arechavala, Alicia. Hospital Francisco J Muñiz; ArgentinaFil: Isbell, Kristin. University of North Carolina; Estados UnidosFil: Schipper, Rafael. Universidade do Brasília; BrasilFil: Santiso, Gabriela Maria. Gobierno de la Ciudad de Buenos Aires. Hospital de Infecciosas "Dr. Francisco Javier Muñiz"; ArgentinaFil: Tracogna, Fernanda. Gobierno de la Provincia de Chaco. Hospital Julio Cecilio Perrando.; ArgentinaFil: Sosa, María de los Ángeles. Universidad Nacional del Nordeste. Instituto de Medicina Regional; ArgentinaFil: Cech, Norma. Hospital 4 de Junio; ArgentinaFil: Alvarado, Primavera. Instituto de Biomedicina Dr. Jacinto Convit; VenezuelaFil: Barreto, Laura. Instituto Superior de Formación Docente Salome Ureña; República DominicanaFil: Chacón, Yone. Provincia de Salta. Ministerio de Salud Pública. Hospital del Milagro; ArgentinaFil: Ortellado, Juana. Universidad Nacional de Asunción; ParaguayFil: Lima, Cleoni Mendes de. Universidade Federal de Rondonia; BrasilFil: Chang, Marilene Rodrigues. Universidade Federal do Mato Grosso do Sul; BrasilFil: Niño Vega, Gustavo. Universidad de Guanajuato; MéxicoFil: Yasuda, Maria Aparecida Shikanai. Universidade de Sao Paulo; BrasilFil: Felipe, Maria Sueli Soares. Universidade Catolica de Brasilia; BrasilFil: Negroni, Ricardo. Gobierno de la Ciudad de Buenos Aires. Hospital de Infecciosas "Dr. Francisco Javier Muñiz"; ArgentinaFil: Cuomo, Christina A.. Broad Institute of MIT And Harvard; Estados UnidosFil: Barker, Bridget. Tgen Northern Arizona University; Estados UnidosFil: Giusiano, Gustavo Emilio. Universidad Nacional del Nordeste. Instituto de Medicina Regional; Argentina. Universidad Nacional del Nordeste. Facultad de Medicina; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste; Argentin

Manifestações clínicas do Covid-19 na população pediátrica e neonatal / Clinical manifestations of Covid-19 in pediatric and neonatal population

INTRODUÇÃO: Surgido na China, o vírus Sars-Cov-2 - causador da COVID-19 - logo se espalhou para todos os continentes do mundo, caracterizando uma pandemia. Os dados envolvendo adultos e idosos estão bastante difundidos, entretanto, o envolvimento de crianças e adolescentes, no espectro de manifestações clínicas da COVID-19, ainda carece de discussões, questionamentos e comprovações. METODOLOGIA: Revisão narrativa da literatura sobre as manifestações clínicas do COVID-19 na população pediátrica e neonatal. Nas bases PubMed, ScienceDirect e UptoDate, utilizando os descritores: pediatrics, COVID-19 e neonatal.RESULTADOS: Ao analisar o perfil do paciente infectado pelo coronavírus, percebe-se que a maioria das crianças apresentam sintomas moderados, com  quadro clínico típico de febre e tosse. Laboratorialmente, o que predomina é a alteração na contagem de leucócitos e marcadores inflamatórios. Na avaliação radiológica, os achados são inespecíficos em relação aos dos adultos, sendo os infiltrados unilaterais/bilaterais os mais comuns, em seguida vem a opacidade em vidro fosco. DISCUSSÃO: Não foi possível encontrar uma evidência concreta igual a dos adultos. Geralmente as crianças se apresentam como assintomáticas e necessitam de um cuidado maior quando apresentam sintomas gastrointestinais.  CONCLUSÃO: Diversas são as teorias existentes para justificar as diferenças clínicas entre adultos e crianças. A transmissão intrauterina e perinatal é rara. Crianças assintomáticas são importantes transmissores para o resto da população. Tal grupo carece de mais estudos. 

Standalone vertex finding in the ATLAS muon spectrometer

A dedicated reconstruction algorithm to find decay vertices in the ATLAS muon spectrometer is presented. The algorithm searches the region just upstream of or inside the muon spectrometer volume for multi-particle vertices that originate from the decay of particles with long decay paths. The performance of the algorithm is evaluated using both a sample of simulated Higgs boson events, in which the Higgs boson decays to long-lived neutral particles that in turn decay to bbar b final states, and pp collision data at √s = 7 TeV collected with the ATLAS detector at the LHC during 2011

Measurements of Higgs boson production and couplings in diboson final states with the ATLAS detector at the LHC

Measurements are presented of production properties and couplings of the recently discovered Higgs boson using the decays into boson pairs, H →γ γ, H → Z Z∗ →4l and H →W W∗ →lνlν. The results are based on the complete pp collision data sample recorded by the ATLAS experiment at the CERN Large Hadron Collider at centre-of-mass energies of √s = 7 TeV and √s = 8 TeV, corresponding to an integrated luminosity of about 25 fb−1. Evidence for Higgs boson production through vector-boson fusion is reported. Results of combined fits probing Higgs boson couplings to fermions and bosons, as well as anomalous contributions to loop-induced production and decay modes, are presented. All measurements are consistent with expectations for the Standard Model Higgs boson

Measurement of the top quark-pair production cross section with ATLAS in pp collisions at \sqrt{s}=7\TeV

A measurement of the production cross-section for top quark pairs(\ttbar) in $pp$ collisions at \sqrt{s}=7 \TeV is presented using data recorded with the ATLAS detector at the Large Hadron Collider. Events are selected in two different topologies: single lepton (electron $e$ or muon $\mu$) with large missing transverse energy and at least four jets, and dilepton ($ee$, $\mu\mu$ or $e\mu$) with large missing transverse energy and at least two jets. In a data sample of 2.9 pb-1, 37 candidate events are observed in the single-lepton topology and 9 events in the dilepton topology. The corresponding expected backgrounds from non-\ttbar Standard Model processes are estimated using data-driven methods and determined to be $12.2 \pm 3.9$ events and $2.5 \pm 0.6$ events, respectively. The kinematic properties of the selected events are consistent with SM \ttbar production. The inclusive top quark pair production cross-section is measured to be \sigmattbar=145 \pm 31 ^{+42}_{-27} pb where the first uncertainty is statistical and the second systematic. The measurement agrees with perturbative QCD calculations.Comment: 30 pages plus author list (50 pages total), 9 figures, 11 tables, CERN-PH number and final journal adde

Measurement of the top quark pair cross section with ATLAS in pp collisions at √s=7 TeV using final states with an electron or a muon and a hadronically decaying τ lepton

A measurement of the cross section of top quark pair production in proton-proton collisions recorded with the ATLAS detector at the Large Hadron Collider at a centre-of-mass energy of 7 TeV is reported. The data sample used corresponds to an integrated luminosity of 2.05 fb -1. Events with an isolated electron or muon and a τ lepton decaying hadronically are used. In addition, a large missing transverse momentum and two or more energetic jets are required. At least one of the jets must be identified as originating from a b quark. The measured cross section, σtt-=186±13(stat.)±20(syst.)±7(lumi.) pb, is in good agreement with the Standard Model prediction

Hunt for new phenomena using large jet multiplicities and missing transverse momentum with ATLAS in 4.7 fb−1 of √s=7 TeV proton-proton collisions

Results are presented of a search for new particles decaying to large numbers of jets in association with missing transverse momentum, using 4.7 fb−1 of pp collision data at s√=7TeV collected by the ATLAS experiment at the Large Hadron Collider in 2011. The event selection requires missing transverse momentum, no isolated electrons or muons, and from ≥6 to ≥9 jets. No evidence is found for physics beyond the Standard Model. The results are interpreted in the context of a MSUGRA/CMSSM supersymmetric model, where, for large universal scalar mass m 0, gluino masses smaller than 840 GeV are excluded at the 95% confidence level, extending previously published limits. Within a simplified model containing only a gluino octet and a neutralino, gluino masses smaller than 870 GeV are similarly excluded for neutralino masses below 100 GeV

Retroalimentar la formación práctica de los estudiantes del Máster en Atención Temprana durante las prácticas presenciales: seminarios virtuales (MS Teams) sobre estudio de casos en el marco de la asignatura Prácticum con apoyo de la red de centros

Depto. de Estudios EducativosFac. de EducaciónFALSEsubmitte

Social cognition in people with schizophrenia: A cluster-analytic approach

Background The study aimed to subtype patients with schizophrenia on the basis of social cognition (SC), and to identify cut-offs that best discriminate among subtypes in 809 out-patients recruited in the context of the Italian Network for Research on Psychoses. Method A two-step cluster analysis of The Awareness of Social Inference Test (TASIT), the Facial Emotion Identification Test and Mayer-Salovey-Caruso Emotional Intelligence Test scores was performed. Classification and regression tree analysis was used to identify the cut-offs of variables that best discriminated among clusters. Results We identified three clusters, characterized by unimpaired (42%), impaired (50.4%) and very impaired (7.5%) SC. Three theory-of-mind domains were more important for the cluster definition as compared with emotion perception and emotional intelligence. Patients more able to understand simple sarcasm (14 for TASIT-SS) were very likely to belong to the unimpaired SC cluster. Compared with patients in the impaired SC cluster, those in the very impaired SC cluster performed significantly worse in lie scenes (TASIT-LI <10), but not in simple sarcasm. Moreover, functioning, neurocognition, disorganization and SC had a linear relationship across the three clusters, while positive symptoms were significantly lower in patients with unimpaired SC as compared with patients with impaired and very impaired SC. On the other hand, negative symptoms were highest in patients with impaired levels of SC. Conclusions If replicated, the identification of such subtypes in clinical practice may help in tailoring rehabilitation efforts to the person's strengths to gain more benefit to the person

Social cognition in people with schizophrenia: A cluster-analytic approach

Background The study aimed to subtype patients with schizophrenia on the basis of social cognition (SC), and to identify cut-offs that best discriminate among subtypes in 809 out-patients recruited in the context of the Italian Network for Research on Psychoses. Method A two-step cluster analysis of The Awareness of Social Inference Test (TASIT), the Facial Emotion Identification Test and Mayer-Salovey-Caruso Emotional Intelligence Test scores was performed. Classification and regression tree analysis was used to identify the cut-offs of variables that best discriminated among clusters. Results We identified three clusters, characterized by unimpaired (42%), impaired (50.4%) and very impaired (7.5%) SC. Three theory-of-mind domains were more important for the cluster definition as compared with emotion perception and emotional intelligence. Patients more able to understand simple sarcasm (14 for TASIT-SS) were very likely to belong to the unimpaired SC cluster. Compared with patients in the impaired SC cluster, those in the very impaired SC cluster performed significantly worse in lie scenes (TASIT-LI <10), but not in simple sarcasm. Moreover, functioning, neurocognition, disorganization and SC had a linear relationship across the three clusters, while positive symptoms were significantly lower in patients with unimpaired SC as compared with patients with impaired and very impaired SC. On the other hand, negative symptoms were highest in patients with impaired levels of SC. Conclusions If replicated, the identification of such subtypes in clinical practice may help in tailoring rehabilitation efforts to the person's strengths to gain more benefit to the person