The Experts below are selected from a list of 309 Experts worldwide ranked by ideXlab platform
Renaud Louis - One of the best experts on this subject based on the ideXlab platform.
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Methodology for Sputum Induction and Laboratory Processing
Journal of Visualized Experiments, 2017Co-Authors: Julien Guiot, Sophie Demarche, Monique Henket, Virginie Paulus, Sophie Graff, Florence Schleich, Jean-louis Corhay, Renaud Louis, Catherine MoermansAbstract:The technique of Sputum induction and processing is a recognized non-invasive method allowing the collection and analysis of cells from the airways, which is interesting in various respiratory diseases like asthma, chronic obstructive pulmonary disease (COPD), chronic cough, or idiopathic pulmonary fibrosis. This technique is well tolerated, safe and non-invasive, but is currently limited to research services and specialized centers in clinical practice because it is technically demanding, time-consuming, and requires trained staff. The success rate of Sputum induction and analysis is about 80%. Here, we describe the induction and laboratory processing of Sputum samples. Sputum is induced by inhalation of hypertonic or isotonic saline with salbutamol. For the processing, we use the whole Sputum technique. Dithiothreitol (DTT) is used to allow mucolysis of Sputum samples. The primary aim of Sputum processing is to obtain a differential cell count to study the cell types present in the airway lumen. Additional analyses may also be performed on Sputum supernatant and Sputum cells, which may allow further investigation into inflammatory processes and immune mechanisms. Examples include studying mediators in Sputum supernatant and performing a large spectrum of analysis on Sputum cells such as flow cytometry, genomics, or proteomics. Finally, representative results of Sputum analysis in healthy controls, asthmatics, and COPD patients are presented.
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distribution of Sputum cellular phenotype in a large asthma cohort predicting factors for eosinophilic vs neutrophilic inflammation
European Respiratory Journal, 2013Co-Authors: Florence Schleich, Monique Henket, Maïté Manise, Jocelyne Sele, Laurence Seidel, Renaud LouisAbstract:Background Phenotyping asthma according to airway inflammation allows identification of responders to targeted therapy. Induced Sputum is technically demanding. We aimed to identify predictors of Sputum inflammatory phenotypes according to easily available clinical characteristics. Methods This retrospective study was conducted in 508 asthmatics with successful Sputum induction recruited from the University Asthma Clinic of Liege. Receiver-operating characteristic (ROC) curve and multiple logistic regression analysis were used to assess the relationship between Sputum eosinophil or neutrophil count and a set of covariates. Equations predicting Sputum eosinophils and neutrophils were then validated in an independent group of asthmatics. Results Eosinophilic (≥3%) and neutrophilic (≥76%) airway inflammation were observed in 46% and 18% of patients respectively. Predictors of Sputum eosinophilia ≥3% were high blood eosinophils, FENO and IgE level and low FEV1/FVC. The derived equation was validated with a Cohen’s kappa coefficient of 0.59 (p<0.0001). ROC curves showed a cut-off value of 220/mm³ (AUC=0.79, p<0.0001) or 3% (AUC=0.81, p<0.0001) for blood eosinophils to identify Sputum eosinophilia ≥3%. Independent predictors of Sputum neutrophilia were advanced age and high FRC but not blood neutrophil count. Conclusion: Eosinophilic and paucigranulocytic asthma are the dominant inflammatory phenotypes. Blood eosinophils provide a practical alternative to predict Sputum eosinophilia but Sputum neutrophil count is poorly related to blood neutrophils.
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Sputum IgE and cytokines in asthma: relationship with Sputum cellular profile.
PLOS ONE, 2013Co-Authors: Maïté Manise, Florence Schleich, Gabriele Holtappels, Koen Van Crombruggen, Claus Bachert, Renaud LouisAbstract:Background Local IgE production may play a role in asthma pathogenesis. The aim of the study was to assess Sputum total IgE and cytokines in asthmatics according to Sputum cellular phenotype. Methods We studied 122 subjects including 22 non atopic healthy subjects, 41 eosinophilic (Sputum eosinophils ≥3%), 16 neutrophilic (Sputum neutrophils >76%) and 43 pauci-granulocytic asthmatics (Sputum eosinophils
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distribution of Sputum cellular phenotype in a large asthma cohort predicting factors for eosinophilic vs neutrophilic inflammation
BMC Pulmonary Medicine, 2013Co-Authors: Florence Schleich, Monique Henket, Maïté Manise, Jocelyne Sele, Laurence Seidel, Renaud LouisAbstract:Phenotyping asthma according to airway inflammation allows identification of responders to targeted therapy. Induced Sputum is technically demanding. We aimed to identify predictors of Sputum inflammatory phenotypes according to easily available clinical characteristics. This retrospective study was conducted in 508 asthmatics with successful Sputum induction recruited from the University Asthma Clinic of Liege. Receiver-operating characteristic (ROC) curve and multiple logistic regression analysis were used to assess the relationship between Sputum eosinophil or neutrophil count and a set of covariates. Equations predicting Sputum eosinophils and neutrophils were then validated in an independent group of asthmatics. Eosinophilic (≥3%) and neutrophilic (≥76%) airway inflammation were observed in 46% and 18% of patients respectively. Predictors of Sputum eosinophilia ≥3% were high blood eosinophils, FENO and IgE level and low FEV1/FVC. The derived equation was validated with a Cohen’s kappa coefficient of 0.59 (p < 0.0001). ROC curves showed a cut-off value of 220/mm3 (AUC = 0.79, p < 0.0001) or 3% (AUC = 0.81, p < 0.0001) for blood eosinophils to identify Sputum eosinophilia ≥3%. Independent predictors of Sputum neutrophilia were advanced age and high FRC but not blood neutrophil count. Eosinophilic and paucigranulocytic asthma are the dominant inflammatory phenotypes. Blood eosinophils provide a practical alternative to predict Sputum eosinophilia but Sputum neutrophil count is poorly related to blood neutrophils.
Florence Schleich - One of the best experts on this subject based on the ideXlab platform.
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Methodology for Sputum Induction and Laboratory Processing
Journal of Visualized Experiments, 2017Co-Authors: Julien Guiot, Sophie Demarche, Monique Henket, Virginie Paulus, Sophie Graff, Florence Schleich, Jean-louis Corhay, Renaud Louis, Catherine MoermansAbstract:The technique of Sputum induction and processing is a recognized non-invasive method allowing the collection and analysis of cells from the airways, which is interesting in various respiratory diseases like asthma, chronic obstructive pulmonary disease (COPD), chronic cough, or idiopathic pulmonary fibrosis. This technique is well tolerated, safe and non-invasive, but is currently limited to research services and specialized centers in clinical practice because it is technically demanding, time-consuming, and requires trained staff. The success rate of Sputum induction and analysis is about 80%. Here, we describe the induction and laboratory processing of Sputum samples. Sputum is induced by inhalation of hypertonic or isotonic saline with salbutamol. For the processing, we use the whole Sputum technique. Dithiothreitol (DTT) is used to allow mucolysis of Sputum samples. The primary aim of Sputum processing is to obtain a differential cell count to study the cell types present in the airway lumen. Additional analyses may also be performed on Sputum supernatant and Sputum cells, which may allow further investigation into inflammatory processes and immune mechanisms. Examples include studying mediators in Sputum supernatant and performing a large spectrum of analysis on Sputum cells such as flow cytometry, genomics, or proteomics. Finally, representative results of Sputum analysis in healthy controls, asthmatics, and COPD patients are presented.
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distribution of Sputum cellular phenotype in a large asthma cohort predicting factors for eosinophilic vs neutrophilic inflammation
European Respiratory Journal, 2013Co-Authors: Florence Schleich, Monique Henket, Maïté Manise, Jocelyne Sele, Laurence Seidel, Renaud LouisAbstract:Background Phenotyping asthma according to airway inflammation allows identification of responders to targeted therapy. Induced Sputum is technically demanding. We aimed to identify predictors of Sputum inflammatory phenotypes according to easily available clinical characteristics. Methods This retrospective study was conducted in 508 asthmatics with successful Sputum induction recruited from the University Asthma Clinic of Liege. Receiver-operating characteristic (ROC) curve and multiple logistic regression analysis were used to assess the relationship between Sputum eosinophil or neutrophil count and a set of covariates. Equations predicting Sputum eosinophils and neutrophils were then validated in an independent group of asthmatics. Results Eosinophilic (≥3%) and neutrophilic (≥76%) airway inflammation were observed in 46% and 18% of patients respectively. Predictors of Sputum eosinophilia ≥3% were high blood eosinophils, FENO and IgE level and low FEV1/FVC. The derived equation was validated with a Cohen’s kappa coefficient of 0.59 (p<0.0001). ROC curves showed a cut-off value of 220/mm³ (AUC=0.79, p<0.0001) or 3% (AUC=0.81, p<0.0001) for blood eosinophils to identify Sputum eosinophilia ≥3%. Independent predictors of Sputum neutrophilia were advanced age and high FRC but not blood neutrophil count. Conclusion: Eosinophilic and paucigranulocytic asthma are the dominant inflammatory phenotypes. Blood eosinophils provide a practical alternative to predict Sputum eosinophilia but Sputum neutrophil count is poorly related to blood neutrophils.
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Sputum IgE and cytokines in asthma: relationship with Sputum cellular profile.
PLOS ONE, 2013Co-Authors: Maïté Manise, Florence Schleich, Gabriele Holtappels, Koen Van Crombruggen, Claus Bachert, Renaud LouisAbstract:Background Local IgE production may play a role in asthma pathogenesis. The aim of the study was to assess Sputum total IgE and cytokines in asthmatics according to Sputum cellular phenotype. Methods We studied 122 subjects including 22 non atopic healthy subjects, 41 eosinophilic (Sputum eosinophils ≥3%), 16 neutrophilic (Sputum neutrophils >76%) and 43 pauci-granulocytic asthmatics (Sputum eosinophils
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distribution of Sputum cellular phenotype in a large asthma cohort predicting factors for eosinophilic vs neutrophilic inflammation
BMC Pulmonary Medicine, 2013Co-Authors: Florence Schleich, Monique Henket, Maïté Manise, Jocelyne Sele, Laurence Seidel, Renaud LouisAbstract:Phenotyping asthma according to airway inflammation allows identification of responders to targeted therapy. Induced Sputum is technically demanding. We aimed to identify predictors of Sputum inflammatory phenotypes according to easily available clinical characteristics. This retrospective study was conducted in 508 asthmatics with successful Sputum induction recruited from the University Asthma Clinic of Liege. Receiver-operating characteristic (ROC) curve and multiple logistic regression analysis were used to assess the relationship between Sputum eosinophil or neutrophil count and a set of covariates. Equations predicting Sputum eosinophils and neutrophils were then validated in an independent group of asthmatics. Eosinophilic (≥3%) and neutrophilic (≥76%) airway inflammation were observed in 46% and 18% of patients respectively. Predictors of Sputum eosinophilia ≥3% were high blood eosinophils, FENO and IgE level and low FEV1/FVC. The derived equation was validated with a Cohen’s kappa coefficient of 0.59 (p < 0.0001). ROC curves showed a cut-off value of 220/mm3 (AUC = 0.79, p < 0.0001) or 3% (AUC = 0.81, p < 0.0001) for blood eosinophils to identify Sputum eosinophilia ≥3%. Independent predictors of Sputum neutrophilia were advanced age and high FRC but not blood neutrophil count. Eosinophilic and paucigranulocytic asthma are the dominant inflammatory phenotypes. Blood eosinophils provide a practical alternative to predict Sputum eosinophilia but Sputum neutrophil count is poorly related to blood neutrophils.
Ronda Janowski - One of the best experts on this subject based on the ideXlab platform.
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Sputum eosinophilia negates need to perform Sputum Gram's stain
Lung, 1993Co-Authors: Walter Baigelman, Sanford Chodosh, Alexa Beiser, David Pizzuto, Ronda JanowskiAbstract:A total of 1878 Sputum specimens were evaluated to assess the potential of encountering a Sputum Gram's stain with clinically useful positive data in the presence of Sputum eosinophilia. Wet preparations were used to assess the adequancy of the specimen and to quantitate eosinophils. Quantitative Sputum Gram's stains were performed. When more than 50% of the cells observed on Sputum wet preparation were eosinophils, there were no positive Gram's stains. When more than 20% of the cells were eosinophils, there was a 1% prevalence of potentially clinically useful positive Gram's stains. The data strongly suggest that Sputum eosinophilia obviates the need to perform a Sputum Gram's stain since it is extremely unlikely that it would be useful in diagnosing a bacterial infection of the lower respiratory tract.
Maïté Manise - One of the best experts on this subject based on the ideXlab platform.
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distribution of Sputum cellular phenotype in a large asthma cohort predicting factors for eosinophilic vs neutrophilic inflammation
European Respiratory Journal, 2013Co-Authors: Florence Schleich, Monique Henket, Maïté Manise, Jocelyne Sele, Laurence Seidel, Renaud LouisAbstract:Background Phenotyping asthma according to airway inflammation allows identification of responders to targeted therapy. Induced Sputum is technically demanding. We aimed to identify predictors of Sputum inflammatory phenotypes according to easily available clinical characteristics. Methods This retrospective study was conducted in 508 asthmatics with successful Sputum induction recruited from the University Asthma Clinic of Liege. Receiver-operating characteristic (ROC) curve and multiple logistic regression analysis were used to assess the relationship between Sputum eosinophil or neutrophil count and a set of covariates. Equations predicting Sputum eosinophils and neutrophils were then validated in an independent group of asthmatics. Results Eosinophilic (≥3%) and neutrophilic (≥76%) airway inflammation were observed in 46% and 18% of patients respectively. Predictors of Sputum eosinophilia ≥3% were high blood eosinophils, FENO and IgE level and low FEV1/FVC. The derived equation was validated with a Cohen’s kappa coefficient of 0.59 (p<0.0001). ROC curves showed a cut-off value of 220/mm³ (AUC=0.79, p<0.0001) or 3% (AUC=0.81, p<0.0001) for blood eosinophils to identify Sputum eosinophilia ≥3%. Independent predictors of Sputum neutrophilia were advanced age and high FRC but not blood neutrophil count. Conclusion: Eosinophilic and paucigranulocytic asthma are the dominant inflammatory phenotypes. Blood eosinophils provide a practical alternative to predict Sputum eosinophilia but Sputum neutrophil count is poorly related to blood neutrophils.
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Sputum IgE and cytokines in asthma: relationship with Sputum cellular profile.
PLOS ONE, 2013Co-Authors: Maïté Manise, Florence Schleich, Gabriele Holtappels, Koen Van Crombruggen, Claus Bachert, Renaud LouisAbstract:Background Local IgE production may play a role in asthma pathogenesis. The aim of the study was to assess Sputum total IgE and cytokines in asthmatics according to Sputum cellular phenotype. Methods We studied 122 subjects including 22 non atopic healthy subjects, 41 eosinophilic (Sputum eosinophils ≥3%), 16 neutrophilic (Sputum neutrophils >76%) and 43 pauci-granulocytic asthmatics (Sputum eosinophils
-
distribution of Sputum cellular phenotype in a large asthma cohort predicting factors for eosinophilic vs neutrophilic inflammation
BMC Pulmonary Medicine, 2013Co-Authors: Florence Schleich, Monique Henket, Maïté Manise, Jocelyne Sele, Laurence Seidel, Renaud LouisAbstract:Phenotyping asthma according to airway inflammation allows identification of responders to targeted therapy. Induced Sputum is technically demanding. We aimed to identify predictors of Sputum inflammatory phenotypes according to easily available clinical characteristics. This retrospective study was conducted in 508 asthmatics with successful Sputum induction recruited from the University Asthma Clinic of Liege. Receiver-operating characteristic (ROC) curve and multiple logistic regression analysis were used to assess the relationship between Sputum eosinophil or neutrophil count and a set of covariates. Equations predicting Sputum eosinophils and neutrophils were then validated in an independent group of asthmatics. Eosinophilic (≥3%) and neutrophilic (≥76%) airway inflammation were observed in 46% and 18% of patients respectively. Predictors of Sputum eosinophilia ≥3% were high blood eosinophils, FENO and IgE level and low FEV1/FVC. The derived equation was validated with a Cohen’s kappa coefficient of 0.59 (p < 0.0001). ROC curves showed a cut-off value of 220/mm3 (AUC = 0.79, p < 0.0001) or 3% (AUC = 0.81, p < 0.0001) for blood eosinophils to identify Sputum eosinophilia ≥3%. Independent predictors of Sputum neutrophilia were advanced age and high FRC but not blood neutrophil count. Eosinophilic and paucigranulocytic asthma are the dominant inflammatory phenotypes. Blood eosinophils provide a practical alternative to predict Sputum eosinophilia but Sputum neutrophil count is poorly related to blood neutrophils.
Walter Baigelman - One of the best experts on this subject based on the ideXlab platform.
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Sputum eosinophilia negates need to perform Sputum Gram's stain
Lung, 1993Co-Authors: Walter Baigelman, Sanford Chodosh, Alexa Beiser, David Pizzuto, Ronda JanowskiAbstract:A total of 1878 Sputum specimens were evaluated to assess the potential of encountering a Sputum Gram's stain with clinically useful positive data in the presence of Sputum eosinophilia. Wet preparations were used to assess the adequancy of the specimen and to quantitate eosinophils. Quantitative Sputum Gram's stains were performed. When more than 50% of the cells observed on Sputum wet preparation were eosinophils, there were no positive Gram's stains. When more than 20% of the cells were eosinophils, there was a 1% prevalence of potentially clinically useful positive Gram's stains. The data strongly suggest that Sputum eosinophilia obviates the need to perform a Sputum Gram's stain since it is extremely unlikely that it would be useful in diagnosing a bacterial infection of the lower respiratory tract.
