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43 results on '"Riley, John"'

1. IL1RAP expression and the enrichment of IL‐33 activation signatures in severe neutrophilic asthma

Author

Badi, Yusef Eamon, primary, Salcman, Barbora, additional, Taylor, Adam, additional, Rana, Batika, additional, Kermani, Nazanin Zounemat, additional, Riley, John H., additional, Worsley, Sally, additional, Mumby, Sharon, additional, Dahlen, Sven‐Eric, additional, Cousins, David, additional, Bulfone‐Paus, Silvia, additional, Affleck, Karen, additional, Chung, Kian Fan, additional, Bates, Stewart, additional, and Adcock, Ian M., additional

Published
2022
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4. Blood eosinophil count and airway epithelial transcriptome relationships in COPD versus asthma

Author

George, Leena, Taylor, Adam R., Esteve-Codina, Anna, Soler Artigas, Maria, Andri Thun, Gian, Bates, Stewart, Pavlidis, Stelios, Wagers, Scott, Boland, Anne, Prasse, Antje, Boschetto, Piera, Parr, David G., Nowinski, Adam, Barta, Imre, Hohlfeld, Jens, Greulich, Timm, van den Berge, Maarten, Hiemstra, Pieter S., Timens, Wim, Hinks, Timothy, Wenzel, Sally, Siddiqui, Salman, Richardson, Matthew, Venge, Per, Heath, Simon, Gut, Ivo, Tobin, Martin D., Edwards, Lindsay, Riley, John H., Djukanovic, Ratko, Auffray, Charles, De-Meulder, Bertrand, Erik-Dahlen, Sven, Adcock, Ian M., Chung, Kian Fan, Ziegler-Heitbrock, Loems, Sterk, Peter J., Singh, Dave, Brightling, Christopher E., George, Leena, Taylor, Adam R., Esteve-Codina, Anna, Soler Artigas, Maria, Andri Thun, Gian, Bates, Stewart, Pavlidis, Stelios, Wagers, Scott, Boland, Anne, Prasse, Antje, Boschetto, Piera, Parr, David G., Nowinski, Adam, Barta, Imre, Hohlfeld, Jens, Greulich, Timm, van den Berge, Maarten, Hiemstra, Pieter S., Timens, Wim, Hinks, Timothy, Wenzel, Sally, Siddiqui, Salman, Richardson, Matthew, Venge, Per, Heath, Simon, Gut, Ivo, Tobin, Martin D., Edwards, Lindsay, Riley, John H., Djukanovic, Ratko, Auffray, Charles, De-Meulder, Bertrand, Erik-Dahlen, Sven, Adcock, Ian M., Chung, Kian Fan, Ziegler-Heitbrock, Loems, Sterk, Peter J., Singh, Dave, and Brightling, Christopher E.

Abstract

Background: Whether the clinical or pathophysiologic significance of the "treatable trait" high blood eosinophil count in COPD is the same as for asthma remains controversial. We sought to determine the relationship between the blood eosinophil count, clinical characteristics and gene expression from bronchial brushings in COPD and asthma. Methods: Subjects were recruited into a COPD (emphysema versus airway disease [EvA]) or asthma cohort (Unbiased BIOmarkers in PREDiction of respiratory disease outcomes, U-BIOPRED). We determined gene expression using RNAseq in EvA (n = 283) and Affymetrix microarrays in U-BIOPRED (n = 85). We ran linear regression analysis of the bronchial brushings transcriptional signal versus blood eosinophil counts as well as differential expression using a blood eosinophil > 200 cells/mu L as a cut-off. The false discovery rate was controlled at 1% (with continuous values) and 5% (with dichotomized values). Results: There were no differences in age, gender, lung function, exercise capacity and quantitative computed tomography between eosinophilic versus noneosinophilic COPD cases. Total serum IgE was increased in eosinophilic asthma and COPD. In EvA, there were 12 genes with a statistically significant positive association with the linear blood eosinophil count, whereas in U-BIOPRED, 1197 genes showed significant associations (266 positive and 931 negative). The transcriptome showed little overlap between genes and pathways associated with blood eosinophil counts in asthma versus COPD. Only CST1 was common to eosinophilic asthma and COPD and was replicated in independent cohorts. Conclusion: Despite shared "treatable traits" between asthma and COPD, the molecular mechanisms underlying these clinical entities are predominately different.

Published
2020
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5. Treatable traits in the European U-BIOPRED adult asthma cohorts

Author

Simpson, Andrew J., Hekking, Pieter-Paul, Shaw, Dominick E., Fleming, Louise J., Roberts, Graham, Riley, John H., Bates, Stewart, Sousa, Ana R., Bansal, Aruna T., Pandis, Ioannis, Sun, Kai, Bakke, Per S., Caruso, Massimo, Dahlén, Barbro, Dahlén, Sven-Erik, Horvath, Ildiko, Krug, Norbert, Montuschi, Paolo, Sandström, Thomas, Singer, Florian, Adcock, Ian M., Wagers, Scott S., Djukanovic, Ratko, Chung, Kian Fan, Sterk, Peter J., and Fowler, Stephen J.

Subjects
Respiratory Medicine and Allergy, 610 Medicine & health, Lungmedicin och allergi
Published
2019

10. Caring for One of Our Own

Author

Schapira, Lidia, primary, Blaszkowsky, Lawrence S., additional, Cashavelly, Barbara J., additional, Kim, Christina Y., additional, Riley, John P., additional, Wold, Mali C., additional, Ryan, David P., additional, and Penson, Richard T., additional

Published
2014
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17. Signaling, delivery and age as emerging issues in the benefit/risk ratio outcome of tPA For treatment of CNS ischemic disorders

Author

Armstead, William M., primary, Ganguly, Kumkum, additional, Kiessling, J. W., additional, Riley, John, additional, Chen, Xiao-Han, additional, Smith, Douglas H., additional, Stein, Sherman C., additional, Higazi, Abd A. R., additional, Cines, Douglas B., additional, Bdeir, Khalil, additional, Zaitsev, Sergei, additional, and Muzykantov, Vladimir R., additional

Published
2010
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43. A severe asthma phenotype of excessive airway Haemophilus influenzae relative abundance associated with sputum neutrophilia.

Author

Versi A, Azim A, Ivan FX, Abdel-Aziz MI, Bates S, Riley J, Uddin M, Zounemat Kermani N, Maitland-Van Der Zee AH, Dahlen SE, Djukanovic R, Chotirmall SH, Howarth P, Adcock IM, and Chung KF

Subjects
Humans, Male, Female, Adult, Middle Aged, Phenotype, Haemophilus Infections microbiology, Asthma microbiology, Haemophilus influenzae pathogenicity, Haemophilus influenzae genetics, Sputum microbiology, Neutrophils metabolism
Abstract

Background: Severe asthma (SA) encompasses several clinical phenotypes with a heterogeneous airway microbiome. We determined the phenotypes associated with a low α-diversity microbiome., Methods: Metagenomic sequencing was performed on sputum samples from SA participants. A threshold of 2 standard deviations below the mean of α-diversity of mild-moderate asthma and healthy control subjects was used to define those with an abnormal abundance threshold as relative dominant species (RDS)., Findings: Fifty-one out of 97 SA samples were classified as RDSs with Haemophilus influenzae RDS being most common (n = 16), followed by Actinobacillus unclassified (n = 10), Veillonella unclassified (n = 9), Haemophilus aegyptius (n = 9), Streptococcus pseudopneumoniae (n = 7), Propionibacterium acnes (n = 5), Moraxella catarrhalis (n = 5) and Tropheryma whipplei (n = 5). Haemophilus influenzae RDS had the highest duration of disease, more exacerbations in previous year and greatest number on daily oral corticosteroids. Hierarchical clustering of RDSs revealed a C2 cluster (n = 9) of highest relative abundance of exclusively Haemophilus influenzae RDSs with longer duration of disease and higher sputum neutrophil counts associated with enrichment pathways of MAPK, NF-κB, TNF, mTOR and necroptosis, compared to the only other cluster, C1, which consisted of 7 Haemophilus influenzae RDSs out of 42. Sputum transcriptomics of C2 cluster compared to C1 RDSs revealed higher expression of neutrophil extracellular trap pathway (NETosis), IL6-transignalling signature and neutrophil activation., Conclusion: We describe a Haemophilus influenzae cluster of the highest relative abundance associated with neutrophilic inflammation and NETosis indicating a host response to the bacteria. This phenotype of severe asthma may respond to specific antibiotics., (© 2024 The Author(s). Clinical and Translational Medicine published by John Wiley & Sons Australia, Ltd on behalf of Shanghai Institute of Clinical Bioinformatics.)

Published
2024
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