Presencia de Porphyromonas gingivalis, Tannerella forsythia, Treponema denticola y Aggregatibacter actinomycetemcomitans en el biofilm subgingival de pacientes diabéticos tipo 2: Estudio transversal

ResumenAntecedentesLa investigación de la microflora subgingival en pacientes diabéticos tipo 2 con periodontitis ha presentado resultados contradictorios.ObjetivoDeterminar la presencia de Porphyromonas gingivalis, Tannerella forshytia, Treponema denticola y Aggregatibacter actinomycetemcomitans, en el biofilm subgingival de pacientes diabéticos tipo 2 y relacionarlo con el grado de control metabólico.MétodoEstudio descriptivo transversal, en el cual se analizaron 23 pacientes diabéticos derivados consecutivamente del Policlínico de Especialidades de la Universidad de los Andes. Previo consentimiento informado, se realizó un examen clínico periodontal que incluyó mediciones de profundidad al sondaje, nivel de inserción clínica y sangrado gingival. Fueron clasificados según severidad de periodontitis y control metabólico de la diabetes determinado por un promedio de 3 exámenes de hemoglobina glicosilada. La detección microbiológica se realizó mediante la técnica de reacción en cadena de la polimerasa.ResultadosEn el grupo de pacientes estudiados, Treponema denticola y Tannerella forsythia fueron las bacterias más prevalentes (65.2%), seguida por Porphyromonas gingivalis (17.3%) y Aggregatibacter actinomycetemcomitans (13%). Los pacientes con peor control glicémico tuvieron una mayor presencia de Treponema denticola, Tannerella forsythia, Porphyromonas gingivalis y Agreggatibacter actinomycetemcomitans y un aumento en el índice de sangrado al sondaje.ConclusionesEn el grupo de pacientes diabéticos estudiado, las bacterias más prevalentes fueron Treponema denticola y Tannerella forsythia. Los pacientes diabéticos tipo 2 con moderado y mal control glicémico presentaron mayor presencia de los microorganismos estudiados, comparado con los grupos con mejores niveles de control glicémico.AbstractBackgroundThe investigation of subgingival microflora in type 2 diabetic patients with periodontitis presented conflicting results.AimTo determine the presence of Porphyromonas gingivalis, Tannerella forshytia, Treponema denticola and Aggregatibacter actinomycetemcomitans in subgingival biofilm of patients with diabetes type 2 and to relate it to the degree of metabolic control.MethodA descriptive study, which analyzed 23 diabetic patients consecutively referred from the Internal Medicine Unit of Medicine Faculty at Universidad de los Andes was conducted. After obtaining an informed consent from the patients a clinical examination that included measurements of periodontal pocket depth, clinical attachment level and gingival bleeding was performed. The patients were classified according to the severity of periodontitis and metabolic control of diabetes as determined by an average of 3 of glycosylated haemoglobin tests. Microbial technique was performed by chain reaction of polymerase.ResultsIn the group of patients examined the most prevalent bacteria were, Treponema denticola and Tannerella forsythia (65.2%), followed by Porphyromonas gingivalis (17.3%) and Aggregatibacter actinomycetemcomitans (13%). Patients with poor glycemic control had a greater presence of Treponema denticola, Tannerella forsythia, Porphyromonas gingivalis and Agreggatibacter actinomycetemcomitans and an increase in the rate of bleeding on probing.ConclusionsIn the group of diabetic patients studied, the most prevalent bacteria were Treponema denticola and Tannerella forsythia. Type 2 diabetic patients with moderate and poor glycemic control had a higher presence of these microorganisms, compared to groups with higher levels of glycemic control

An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics

For a decade, The Cancer Genome Atlas (TCGA) program collected clinicopathologic annotation data along with multi-platform molecular profiles of more than 11,000 human tumors across 33 different cancer types. TCGA clinical data contain key features representing the democratized nature of the data collection process. To ensure proper use of this large clinical dataset associated with genomic features, we developed a standardized dataset named the TCGA Pan-Cancer Clinical Data Resource (TCGA-CDR), which includes four major clinical outcome endpoints. In addition to detailing major challenges and statistical limitations encountered during the effort of integrating the acquired clinical data, we present a summary that includes endpoint usage recommendations for each cancer type. These TCGA-CDR findings appear to be consistent with cancer genomics studies independent of the TCGA effort and provide opportunities for investigating cancer biology using clinical correlates at an unprecedented scale. Analysis of clinicopathologic annotations for over 11,000 cancer patients in the TCGA program leads to the generation of TCGA Clinical Data Resource, which provides recommendations of clinical outcome endpoint usage for 33 cancer types

FOXA1 and adaptive response determinants to HER2 targeted therapy in TBCRC 036

Inhibition of the HER2/ERBB2 receptor is a keystone to treating HER2-positive malignancies, particularly breast cancer, but a significant fraction of HER2-positive (HER2+) breast cancers recur or fail to respond. Anti-HER2 monoclonal antibodies, like trastuzumab or pertuzumab, and ATP active site inhibitors like lapatinib, commonly lack durability because of adaptive changes in the tumor leading to resistance. HER2+ cell line responses to inhibition with lapatinib were analyzed by RNAseq and ChIPseq to characterize transcriptional and epigenetic changes. Motif analysis of lapatinib-responsive genomic regions implicated the pioneer transcription factor FOXA1 as a mediator of adaptive responses. Lapatinib in combination with FOXA1 depletion led to dysregulation of enhancers, impaired adaptive upregulation of HER3, and decreased proliferation. HER2-directed therapy using clinically relevant drugs (trastuzumab with or without lapatinib or pertuzumab) in a 7-day clinical trial designed to examine early pharmacodynamic response to antibody-based anti-HER2 therapy showed reduced FOXA1 expression was coincident with decreased HER2 and HER3 levels, decreased proliferation gene signatures, and increased immune gene signatures. This highlights the importance of the immune response to anti-HER2 antibodies and suggests that inhibiting FOXA1-mediated adaptive responses in combination with HER2 targeting is a potential therapeutic strategy

Effects of human-induced habitat changes on site-use patterns in large Amazonian Forest mammals

The Amazon is one of the most diverse biomes around the globe, currently threatened by economic and industrial development and climate change. Large mammals are keystone species, playing an important role in ecosystem structure and function as ecological engineers, while being highly susceptible to deforestation, habitat degradation, and human exploitation. Using a unifying hierarchical Bayesian spatial approach, we examine the site-use patterns of four large Amazonian Forest mammals and their relationships to anthropogenic factors at a biome-wide scale. Our results showed that species’ patterns of site use are correlated with human induced habitat changes, and that this correlation is species-specific. The white-lipped peccary shows highest site-use estimates within strict protected areas, affected by proximity to urban areas and benefiting from indigenous territories, the tapir responding slightly to proximity to burned forested areas, while the giant armadillo and the jaguar were primarily affected by vegetation cover loss; disturbances related to the colonization of the Amazon. Our findings contribute to the understanding of how human-induced environmental changes influence the site-use patterns of these four large mammals, and inform future conservation and land use planning. Transboundary conservation efforts, empowering and integrating native (indigenous and non-indigenous) communities in land governance schemes, involving the private sector and securing the commitment of developed countries are important paths for the protection and sustainability of the globally-crucial Amazon rainforest

Effect of event selection on jetlike correlation measurement in d+Au collisions at sNN=200 GeV

AbstractDihadron correlations are analyzed in sNN=200 GeV d+Au collisions classified by forward charged particle multiplicity and zero-degree neutral energy in the Au-beam direction. It is found that the jetlike correlated yield increases with the event multiplicity. After taking into account this dependence, the non-jet contribution on the away side is minimal, leaving little room for a back-to-back ridge in these collisions

Beam-energy Dependence Of Charge Balance Functions From Au + Au Collisions At Energies Available At The Bnl Relativistic Heavy Ion Collider

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Balance functions have been measured in terms of relative pseudorapidity (Δη) for charged particle pairs at the BNL Relativistic Heavy Ion Collider from Au + Au collisions at sNN=7.7GeV to 200 GeV using the STAR detector. These results are compared with balance functions measured at the CERN Large Hadron Collider from Pb + Pb collisions at sNN=2.76TeV by the ALICE Collaboration. The width of the balance function decreases as the collisions become more central and as the beam energy is increased. In contrast, the widths of the balance functions calculated using shuffled events show little dependence on centrality or beam energy and are larger than the observed widths. Balance function widths calculated using events generated by UrQMD are wider than the measured widths in central collisions and show little centrality dependence. The measured widths of the balance functions in central collisions are consistent with the delayed hadronization of a deconfined quark gluon plasma (QGP). The narrowing of the balance function in central collisions at sNN=7.7 GeV implies that a QGP is still being created at this relatively low energy. © 2016 American Physical Society.942CNPq, Conselho Nacional de Desenvolvimento Científico e TecnológicoMinistry of Education and Science of the Russian FederationMOE, Ministry of Education of the People's Republic of ChinaMOST, Ministry of Science and Technology of the People's Republic of ChinaNRF-2012004024, National Research FoundationNSF, National Stroke FoundationConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq

Driver Fusions and Their Implications in the Development and Treatment of Human Cancers.

Gene fusions represent an important class of somatic alterations in cancer. We systematically investigated fusions in 9,624 tumors across 33 cancer types using multiple fusion calling tools. We identified a total of 25,664 fusions, with a 63% validation rate. Integration of gene expression, copy number, and fusion annotation data revealed that fusions involving oncogenes tend to exhibit increased expression, whereas fusions involving tumor suppressors have the opposite effect. For fusions involving kinases, we found 1,275 with an intact kinase domain, the proportion of which varied significantly across cancer types. Our study suggests that fusions drive the development of 16.5% of cancer cases and function as the sole driver in more than 1% of them. Finally, we identified druggable fusions involving genes such as TMPRSS2, RET, FGFR3, ALK, and ESR1 in 6.0% of cases, and we predicted immunogenic peptides, suggesting that fusions may provide leads for targeted drug and immune therapy

J/ψ polarization in p+p collisions at s=200 GeV in STAR

AbstractWe report on a polarization measurement of inclusive J/ψ mesons in the di-electron decay channel at mid-rapidity at 2<pT<6 GeV/c in p+p collisions at s=200 GeV. Data were taken with the STAR detector at RHIC. The J/ψ polarization measurement should help to distinguish between different models of the J/ψ production mechanism since they predict different pT dependences of the J/ψ polarization. In this analysis, J/ψ polarization is studied in the helicity frame. The polarization parameter λθ measured at RHIC becomes smaller towards high pT, indicating more longitudinal J/ψ polarization as pT increases. The result is compared with predictions of presently available models

Measurement of the cross section for isolated-photon plus jet production in pp collisions at √s=13 TeV using the ATLAS detector

The dynamics of isolated-photon production in association with a jet in proton–proton collisions at a centre-of-mass energy of 13 TeV are studied with the ATLAS detector at the LHC using a dataset with an integrated luminosity of 3.2 fb−1. Photons are required to have transverse energies above 125 GeV. Jets are identified using the anti- algorithm with radius parameter and required to have transverse momenta above 100 GeV. Measurements of isolated-photon plus jet cross sections are presented as functions of the leading-photon transverse energy, the leading-jet transverse momentum, the azimuthal angular separation between the photon and the jet, the photon–jet invariant mass and the scattering angle in the photon–jet centre-of-mass system. Tree-level plus parton-shower predictions from Sherpa and Pythia as well as next-to-leading-order QCD predictions from Jetphox and Sherpa are compared to the measurements