18 research outputs found

    Pulmonary Function Test Results Of 364 HIV Infected Subjects Stratified According To CT Based Emphysema Severity.

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    <p>Dichotomous data are presented as number of individuals (% column totals) and continuous variables are presented as mean±SD for normally distributed variables.</p><p>*p<.05 vs no lung disease, following Bonferroni correction.</p>‡<p>p<.05 vs bronchiolitis, following Bonferroni correction.</p><p>Abbreviations: FEV1, forced expiratory volume in one second; FVC, forced vital capacity, TLC, total lung capacity; RV, residual volume; D<sub>LCO</sub>, diffusing capacity of lung for carbon monoxide or transfer factor; D<sub>LCO</sub>/VA, D<sub>LCO</sub> corrected for alveolar volume or transfer coefficient.</p><p>Pulmonary Function Test Results Of 364 HIV Infected Subjects Stratified According To CT Based Emphysema Severity.</p

    A Representative Image of a Subject with Emphysema (A), a Subject with Bronchiolits (B), and a Subject with both Emphysema and Bronchiolitis (C).

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    <p>A) A transverse axial image of a 48 year old HIV-infected male, displaying changes of severe emphysema as manifested by large bullae, as well as paraseptal and centrilobular regions of low attenuation. B) An axial image reconstructed with a small field of view in a 42 year old HIV-infected female, demonstrating changes of moderate respiratory bronchiolitis with multiple centrilobular nodules scattered throughout both lungs. C) A transverse axial image of a 44 year old HIV-infected male shows changes of both moderate emphysema and bronchiolitis.</p

    Risk Predictors for Bronchiolitis or Emphysema Detected on CT Scans.

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    <p>Abbreviations: BMI, body mass index; CI, confidence interval; OR, odds ratio; ROC, receiver operating characteristics; WBC, white blood cell;</p><p>*adjusted for all the variables listed in this table in a multivariate logistic regression model (see <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0109027#s2" target="_blank">Methods</a> for detail).</p>†<p>Incremental ROC represents area under the curve obtained by adding the previous row variable to the current row variable in a multivariate logistic regression model (see <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0109027#s2" target="_blank">Methods</a> for detail). For example, model 2 incremental ROC and p values are obtained by comparing a logic regression model that contains WBC and current smoker variables to that which contains only current smoker variable (i.e. model 1).</p>‡<p>p value is obtained by comparing the incremental ROC value of the current row to the previous row ROC value.</p><p>Risk Predictors for Bronchiolitis or Emphysema Detected on CT Scans.</p

    Clinical Risk Factors and Health Outcomes for Emphysema.

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    <p>Dichotomous data are presented as number of individuals (% column totals) and continuous variables are presented as mean±SD.</p><p><b>*</b>2 or more hours of physical activity per week.</p><p>Abbreviations: CRP, C-reactive protein; D<sub>LCO</sub>, diffusing capacity of lung for carbon monoxide or transfer factor; FEV1, forced expiratory volume in one second; FVC, forced vital capacity; HIV, human immune deficiency; PJP, pneumocystis jiroveci pneumonia.</p><p>Clinical Risk Factors and Health Outcomes for Emphysema.</p

    Clinical Risk Factors and Health Outcomes for Bronchiolitis.

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    <p>Dichotomous data are presented as number of individuals (% column totals) and continuous variables are presented as mean±SD for normally distributed variables or median (interquartile range) for non-normally distributed variables.</p><p><b>*</b>2 or more hours of physical activity per week.</p><p>Abbreviations: CRP, C-reactive protein; D<sub>LCO</sub>, diffusing capacity of lung for carbon monoxide or transfer factor; FEV1, forced expiratory volume in one second; FVC, forced vital capacity; HIV, human immune deficiency; PJP, pneumocystis jiroveci pneumonia.</p><p>Clinical Risk Factors and Health Outcomes for Bronchiolitis.</p

    Clinical Characteristics of the 1,446 Consecutive Subjects With HIV Infection According to COPD Changes on CT Scans.

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    <p>Dichotomous data are presented as number of individuals (% column totals) and continuous variables are presented as mean±SD.</p><p>*p<.05 vs no lung disease, following Bonferroni correction.</p>‡<p>p<.05 vs bronchiolitis, following Bonferroni correction.</p>†<p>p<.05 vs emphysema, following Bonferroni correction.</p>††<p>2 or more hours of physical activity per week.</p><p>Abbreviations: cigs, cigarettes; CRP, C-reactive protein; HIV, human immune deficiency; NNRTI, non-nucleoside reverse transcriptase inhibitors; NRTI, nucleoside reverse transcriptase inhibitors; PJP, pneumocystis jiroveci pneumonia; PI, protease inhibitors; TB, tuberculosis.</p><p>Clinical Characteristics of the 1,446 Consecutive Subjects With HIV Infection According to COPD Changes on CT Scans.</p

    Image_3_Proteomic profiling of formalin-fixed paraffine-embedded tissue reveals key proteins related to lung dysfunction in idiopathic pulmonary fibrosis.tif

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    IntroductionIdiopathic pulmonary fibrosis (IPF) severely affects the lung leading to aberrant deposition of extracellular matrix and parenchymal stiffness with progressive functional derangement. The limited availability of fresh tissues represents one of the major limitations to study the molecular profiling of IPF lung tissue. The primary aim of this study was to explore the proteomic profiling yield of archived formalin-fixed paraffin-embedded (FFPE) specimens of IPF lung tissues.MethodsWe further determined the protein expression according to respiratory functional decline at the time of biopsy. The total proteins isolated from 11 FFPE samples of IPF patients compared to 3 FFPE samples from a non-fibrotic lung defined as controls, were subjected to label-free quantitative proteomic analysis by liquid chromatography-mass spectrometry (LC-MS/MS) and resulted in the detection of about 400 proteins.ResultsAfter the pairwise comparison between controls and IPF, functional enrichment analysis identified differentially expressed proteins that were involved in extracellular matrix signaling pathways, focal adhesion and transforming growth factor β (TGF-β) signaling pathways strongly associated with IPF onset and progression. Five proteins were significantly over- expressed in the lung of IPF patients with either advanced disease stage (Stage II) or impaired pulmonary function (FVCDiscussionOur work showed that the analysis of FFPE samples was able to identify key proteins that might be crucial for the IPF pathogenesis. These proteins are correlated with lung carcinogenesis or involved in the immune landscape of lung cancer, thus making possible common mechanisms between lung carcinogenesis and fibrosis progression, two pathological conditions at risk for each other in the real life.</p

    Image_7_Proteomic profiling of formalin-fixed paraffine-embedded tissue reveals key proteins related to lung dysfunction in idiopathic pulmonary fibrosis.jpeg

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    IntroductionIdiopathic pulmonary fibrosis (IPF) severely affects the lung leading to aberrant deposition of extracellular matrix and parenchymal stiffness with progressive functional derangement. The limited availability of fresh tissues represents one of the major limitations to study the molecular profiling of IPF lung tissue. The primary aim of this study was to explore the proteomic profiling yield of archived formalin-fixed paraffin-embedded (FFPE) specimens of IPF lung tissues.MethodsWe further determined the protein expression according to respiratory functional decline at the time of biopsy. The total proteins isolated from 11 FFPE samples of IPF patients compared to 3 FFPE samples from a non-fibrotic lung defined as controls, were subjected to label-free quantitative proteomic analysis by liquid chromatography-mass spectrometry (LC-MS/MS) and resulted in the detection of about 400 proteins.ResultsAfter the pairwise comparison between controls and IPF, functional enrichment analysis identified differentially expressed proteins that were involved in extracellular matrix signaling pathways, focal adhesion and transforming growth factor β (TGF-β) signaling pathways strongly associated with IPF onset and progression. Five proteins were significantly over- expressed in the lung of IPF patients with either advanced disease stage (Stage II) or impaired pulmonary function (FVCDiscussionOur work showed that the analysis of FFPE samples was able to identify key proteins that might be crucial for the IPF pathogenesis. These proteins are correlated with lung carcinogenesis or involved in the immune landscape of lung cancer, thus making possible common mechanisms between lung carcinogenesis and fibrosis progression, two pathological conditions at risk for each other in the real life.</p
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