CRIAÇÃO DE UM SISTEMA DE CLASSIFICAÇÃO DE RISCO DE VULNERABILIDADE DE DOENÇAS CRÔNICAS TRANSMISSÍVEIS E NÃO TRANSMISSÍVEIS NO TERRITÓRIO DE ABRANGÊNCIA DA UBSF PE. ERNESTO SASSIDA, NO PERÍODO 2015.

O presente trabalho aponta para a criação de um sistema de classificação de risco de vulnerabilidade, que determinará o risco da presença ou desenvolvimento de doenças crônicas transmissíveis e não transmissíveis (Hipertensão arterial sistêmica, diabetes mellitus 2, hanseníase, tuberculose, leishmaniose, dengue), através de um questionário estruturado com formato de fluxograma dirigido para determinar o risco de adoecer de patologias crônicas e consideradas endêmicas do território nacional; promovendo o diagnóstico precoce e determinando o risco de vulnerabilidade das doenças descritas. A intervenção parte do desenho do território de abrangência da Unidade de Saúde da Família Pe. Ernesto Sassida, de forma detalhada; a criação e aplicação de fluxogramas, no momento do cadastramento da família, posteriormente a informação coletada e condensada é transpassada no mapa da área; dessa maneira pretenderá conhecer, mais detalhadamente a situação epidemiológica atual e futura da população da área; podendo a ferramenta ser aplicada variadas vezes. Baseados nessa informação a equipe de saúde da Unidade poderá planejar estratégias de abordagem para as famílias, ou microterritórios que apresentem alto risco para uma o varias patologias, fazendo promoção da saúde e prevenção das doenças, por meio da visita domiciliar multidisciplinar, agendamento de consulta e outros; e posteriormente, poderá se confrontar os resultados das estratégias aplicadas e o grau de notificação de doenças, durante um período de tempo determinado. O trabalho com esse sistema procura detectar áreas de risco de doenças crônicas transmissíveis e não transmissíveis específicas no território de abrangência da UBSF Padre Ernesto Sassida e se converter numa ferramenta no planejamento da atuação na prevenção e não só no tratamento das doenças já instaladas

Frequent Occurrence of Aplasia Cutis Congenita in Bullous Dermolysis of the Newborn.

Bullous dermolysis of the newborn (BDN) is a subtype of dystrophic epidermolysis bullosa characterized by rapid improvement in skin fragility within the first months of life, associated with typical immunofluorescence and ultrastructural features. Inheritance can be autosomal dominant or recessive. We report here 4 cases of BDN, 2 of which presented with aplasia cutis congenita of the lower extremities. All patients improved rapidly and blister formation ceased by the third month of life in 3 cases. In these patients only residual milia, nail dystrophies and atrophic scarring at sites of aplasia cutis were visible by one year. Family history indicated dominant inheritance in 2 cases, confirmed by identification of COL7A1 mutation. Molecular analysis also revealed recessive inheritance in the 2 sporadic cases. A literature search identified several patients with BDN born with skin defects localized to the lower extremities. In conclusion, these findings indicate that aplasia cutis congenita is not an infrequent manifestation of BDN

A MALDI-TOF MS approach for mammalian, human, and formula milks’ profiling

Human milk composition is dynamic, and substitute formulae are intended to mimic its protein content. The purpose of this study was to investigate the potentiality of matrix-assisted laser desorption/ionization-time-of-flight mass spectrometry (MALDI-TOF MS), followed by multivariate data analyses as a tool to analyze the peptide profiles of mammalian, human, and formula milks. Breast milk samples from women at different lactation stages (2 (n = 5), 30 (n = 6), 60 (n = 5), and 90 (n = 4) days postpartum), and milk from donkeys (n = 4), cows (n = 4), buffaloes (n = 7), goats (n = 4), ewes (n = 5), and camels (n = 2) were collected. Different brands (n = 4) of infant formulae were also analyzed. Protein content (<30 kDa) was analyzed by MS, and data were exported for statistical elaborations. The mass spectra for each milk closely clustered together, whereas different milk samples resulted in well-separated mass spectra. Human samples formed a cluster in which colostrum constituted a well-defined subcluster. None of the milk formulae correlated with animal or human milk, although they were specifically characterized and correlated well with each other. These findings propose MALDI-TOF MS milk profiling as an analytical tool to discriminate, in a blinded way, different milk types. As each formula has a distinct specificity, shifting a baby from one to another formula implies a specific proteomic exposure. These profiles may assist in milk proteomics for easiness of use and minimization of costs, suggesting that the MALDI-TOF MS pipelines may be useful for not only milk adulteration assessments but also for the characterization of banked milk specimens in pediatric clinical settings

T Lymphocyte Subset Counts and Interferon-Gamma Production in Adults and Children with COVID-19: A Narrative Review

Adults and children exhibit a broad range of clinical outcomes from SARS-CoV-2 infection, with minimal to mild symptoms, especially in the pediatric age. However, some children present with a severe hyperinflammatory post-infectious complication named multisystem inflammatory syndrome in children (MIS-C), mainly affecting previously healthy subjects. Understanding these differences is still an ongoing challenge, that can lead to new therapeutic strategies and avoid unfavorable outcomes. In this review, we discuss the different roles of T lymphocyte subsets and interferon-? (IFN-?) in the immune responses of adults and children. Lymphopenia can influence these responses and represent a good predictor for the outcome, as reported by most authors. The increased IFN-? response exhibited by children could be the starting point for the activation of a broad response that leads to MIS-C, with a significantly higher risk than in adults, although a single IFN signature has not been identified. Multicenter studies with large cohorts in both age groups are still needed to study SARS-CoV-2 pathogenesis with new tools and to understand how is possible to better modulate immune responses

Characterization of colistin-resistant A. baumannii isolated in Intensive Care Unit of an Italian Hospital

We report the characterization of an Acinetobacter baumannii resistant to colistin isolated from a patient treated with colistin for 22 days. The identification and initial susceptibility testing of the strain was performed at ASL3 Imperiese with the Vitek-2 automated system and than the strain was re-identified at the Sezione di Microbiologia with APINE. In vitro activity of antimicrobial agents was determined by the microdiluition methods. The detection of the beta-lactamase gene was performed by PCR and for the analysis of LPS were sequenced the genes of the PmrABC system. We compared the PFGE profile of the colistin-resistant A. baumannii with 5 A. baumannii colistin-susceptible strains isolated in the same Hospital during 2010. The strain was resistant to all antimicrobial agents tested, except to tygecyclin. The PFGE shown that the A. baumannii colistin-resistant was closery related to the colistin-susceptible strains. The sequencing of the PmrABC system showed that the strain had a single mutation in the PmrB component. Colistin-resistant strain have recently been found in several Gram-negative bacteria such A. baumannii, K. pneumoniae and P. aeruginosa. This clinical case confirms that resistance to colistin in A. baumannii can be selected in vivo following the use of colistin in therapy

Longitudinal Evolution of the Pseudomonas-Derived Cephalosporinase (PDC) Structure and Activity in a CysticFibrosis Patient Treated with b-Lactams

Traditional studies on the evolution of antibiotic resistance development use approaches that can range from laboratory-based experimental studies, to epidemiological surveillance, to sequencing of clinical isolates. However, evolutionary trajectories also depend on the environment in which selection takes place, compelling the need to more deeply investigate the impact of environmental complexities and their dynamics over time. Herein, we explored the within-patient adaptive long-term evolution of a Pseudomonas aeruginosa hypermutator lineage in the airways of a cystic fibrosis (CF) patient by performing a chronological tracking of mutations that occurred in different subpopulations; our results demonstrated parallel evolution events in the chromosomally encoded class C β-lactamase (blaPDC). These multiple mutations within blaPDC shaped diverse coexisting alleles, whose frequency dynamics responded to the changing antibiotic selective pressures for more than 26 years of chronic infection. Importantly, the combination of the cumulative mutations in blaPDC provided structural and functional protein changes that resulted in a continuous enhancement of its catalytic efficiency and high level of cephalosporin resistance. This evolution was linked to the persistent treatment with ceftazidime, which we demonstrated selected for variants with robust catalytic activity against this expanded-spectrum cephalosporin. A “gain of function” of collateral resistance toward ceftolozane, a more recently introduced cephalosporin that was not prescribed to this patient, was also observed, and the biochemical basis of this cross-resistance phenomenon was elucidated. This work unveils the evolutionary trajectories paved by bacteria toward a multidrug-resistant phenotype, driven by decades of antibiotic treatment in the natural CF environmental setting. IMPORTANCE Antibiotics are becoming increasingly ineffective to treat bacterial infections. It has been consequently predicted that infectious diseases will become the biggest challenge to human health in the near future. Pseudomonas aeruginosa is considered a paradigm in antimicrobial resistance as it exploits intrinsic and acquired resistance mechanisms to resist virtually all antibiotics known. AmpC β-lactamase is the main mechanism driving resistance in this notorious pathogen to β-lactams, one of the most widely used classes of antibiotics for cystic fibrosis infections. Here, we focus on the β-lactamase gene as a model resistance determinant and unveil the trajectory P. aeruginosa undertakes on the path toward a multidrug-resistant phenotype during the course of two and a half decades of chronic infection in the airways of a cystic fibrosis patient. Integrating genetic and biochemical studies in the natural environment where evolution occurs, we provide a unique perspective on this challenging landscape, addressing fundamental molecular mechanisms of resistance.Fil: Colque, Claudia A. Universidad Nacional de Córdoba. Facultad de Ciencias Químicas. Departamento de Química Biológica; Argentina.Fil: Albarracín Orio, Andrea G. Universidad Nacional de Córdoba. Facultad de Ciencias Químicas. Departamento de Química Biológica; Argentina.Fil: Hedemann, Laura G. Universidad Nacional de Córdoba. Facultad de Ciencias Químicas. Departamento de Química Biológica; Argentina.Fil: Feliziani, Sofía. Universidad Nacional de Córdoba. Facultad de Ciencias Químicas. Departamento de Química Biológica; Argentina.Fil: Moyano, Alejandro J. Universidad Nacional de Córdoba. Facultad de Ciencias Químicas. Departamento de Química Biológica; Argentina.Fil: Smania, Andrea M. Universidad Nacional de Córdoba. Facultad de Ciencias Químicas. Departamento de Química Biológica; Argentina.Fil: Colque, Claudia A. Universidad Nacional de Córdoba. Centro de Investigaciones en Química Biológica de Córdoba (CIQUIBIC-CONICET); Argentina.Fil: Albarracín Orio, Andrea G. Universidad Nacional de Córdoba. Centro de Investigaciones en Química Biológica de Córdoba (CIQUIBIC-CONICET); Argentina.Fil: Hedemann, Laura G. Universidad Nacional de Córdoba. Centro de Investigaciones en Química Biológica de Córdoba (CIQUIBIC-CONICET); Argentina.Fil: Feliziani, Sofía. Universidad Nacional de Córdoba. Centro de Investigaciones en Química Biológica de Córdoba (CIQUIBIC-CONICET); Argentina.Fil: Moyano, Alejandro J. Universidad Nacional de Córdoba. Centro de Investigaciones en Química Biológica de Córdoba (CIQUIBIC-CONICET); Argentina.Fil: Smania, Andrea M. Universidad Nacional de Córdoba. Centro de Investigaciones en Química Biológica de Córdoba (CIQUIBIC-CONICET); Argentina.Fil: Tomatis, Pablo E. Universidad Nacional de Rosario. Instituto de Biología Molecular y Celular de Rosario (IBR-CONICET); Argentina.Fil: Dotta, Gina. Universidad Nacional de Rosario. Instituto de Biología Molecular y Celular de Rosario (IBR-CONICET); Argentina.Fil: Vila, Alejandro J. Universidad Nacional de Rosario. Instituto de Biología Molecular y Celular de Rosario (IBR-CONICET); Argentina.Fil: Tomatis, Pablo E. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas; Argentina.Fil: Moreno, Diego M. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas; Argentina.Fil: Vila, Alejandro J. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas; Argentina.Fil: Albarracín Orio, Andrea G. Universidad Católica de Córdoba. Facultad de Ciencias Agropecuarias. (IRNASUS-CONICET); Argentina.Fil: Moreno, Diego M. Universidad Nacional de Rosario. Instituto de Química de Rosario (IQUIR-CONICET); Argentina.Fil: Hickman Rachel A. Department of Clinical Microbiology; Denmark.Fil: Sommer, Lea M. Department of Clinical Microbiology; Denmark.Fil: Johansen, Helle K. Department of Clinical Microbiology; Denmark.Fil: Hickman Rachel A. Technical University of Denmark, Lyngb. Novo Nordisk Foundation Centre for Biosustainability; Denmark.Fil: Sommer, Lea M. Technical University of Denmark, Lyngb. Novo Nordisk Foundation Centre for Biosustainability; Denmark.Fil: Johansen, Helle K. Technical University of Denmark, Lyngb. Novo Nordisk Foundation Centre for Biosustainability; Denmark.Fil: Bonomo, Robert A. Case Western Reserve University. Departments of Molecular Biology and Microbiology, Medicine, Biochemistry, Pharmacology, and Proteomics and Bioinformatics; United States.Fil: Bonomo, Robert A. Senior Clinical Scientist Investigator. Louis Stokes Cleveland Department of Veterans Affairs; United States.Fil: Johansen, Helle K. University of Copenhagen. Department of Clinical Medicine; Denmark

Age above 70 years and Charlson Comorbidity Index higher than 3 are associated with reduced survival probabilities after radical cystectomy for bladder cancer. Data from a contemporary series of 334 consecutive patients.

Objective: To assess the joint effect of age and comorbidities on clinical outcomes of radical cystectomy (RC).Methods: 334 consecutive patients undergoing open RC for bladder cancer (BC) during the years 2005-2015 were analyzed. Pre-, peri- and post-operative parameters, including age at RC (ARC) and Charlson Comorbidity Index (CCI), were evaluated. Overall and cancer-specific survivals (OS, CSS) were assessed by univariate and multivariate modelling. Furthermore, a three-knot restricted cubic spline (RCS) was fitted to survival data to detect dependency between death-rate ratio (HR) and ARC. Results: Median follow-up time was 3.8 years (IQR = 1.3-7.5) while median OS was 5.9 years (95%CL = 3.8-9.1). Globally, 180 patients died in our cohort (53.8%), 112 of which (62.2%) from BC and 68 patients (37.8%) for unrelated causes. After adjusting for preoperative, pathological and perioperative parameters, patients with CCI > 3 showed significantly higher death rates (HR = 1.61; p = 0.022). The highest death rate was recorded in ARC = 71-76 years (HR = 2.25; p = 0.034). After fitting an RCS to both OS and CSS rates, two overlapping nonlinear trends, with common highest risk values included in ARC = 70-75 years, were observed. Conclusions: Age over 70 years and CCI > 3 were significant factors limiting the survival of RC and should both be considered when comparing current RC outcomes

Expansion of activated regulatory T cells inversely correlates with clinical severity in septic neonates.

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Phylogenetic and Metabolic Tracking of Gut Microbiota during Perinatal Development

The colonization and development of gut microbiota immediately after birth is highly variable and depends on several factors, such as delivery mode and modality of feeding during the first months of life. A cohort of 31 mother and neonate pairs, including 25 at-term caesarean (CS) and 6 vaginally (V) delivered neonates (DNs), were included in this study and 121 meconium/faecal samples were collected at days 1 through 30 following birth. Operational taxonomic units (OTUs) were assessed in 69 stool samples by phylogenetic microarray HITChip and inter- and intra-individual distributions were established by inter-OTUs correlation matrices and OTUs co-occurrence or co-exclusion networks. H-1-NMR metabolites were determined in 70 stool samples, PCA analysis was performed on 55 CS DNs samples, and metabolome/OTUs co-correlations were assessed in 45 CS samples, providing an integrated map of the early microbiota OTUs-metabolome. A microbiota "core" of OTUs was identified that was independent of delivery mode and lactation stage, suggesting highly specialized communities that act as seminal colonizers of microbial networks. Correlations among OTUs, metabolites, and OTUs-metabolites revealed metabolic profiles associated with early microbial ecological dynamics, maturation of milk components, and host physiology.Peer reviewe