SwePub
Sök i SwePub databas

  Utökad sökning

Träfflista för sökning "WFRF:(Rowe Anthony) "

Sökning: WFRF:(Rowe Anthony)

  • Resultat 1-10 av 16
  • [1]2Nästa
Sortera/gruppera träfflistan
   
NumreringReferensOmslagsbildHitta
1.
  • Schofield, James P. R., et al. (författare)
  • Stratification of asthma phenotypes by airway proteomic signatures
  • 2019
  • Ingår i: Journal of Allergy and Clinical Immunology. - Elsevier. - 0091-6749 .- 1097-6825. ; 144:1, s. 70-82
  • Tidskriftsartikel (refereegranskat)abstract
    • Background: Stratification by eosinophil and neutrophil counts increases our understanding of asthma and helps target therapy, but there is room for improvement in our accuracy in prediction of treatment responses and a need for better understanding of the underlying mechanisms. Objective: We sought to identify molecular subphenotypes of asthma defined by proteomic signatures for improved stratification. Methods: Unbiased label-free quantitative mass spectrometry and topological data analysis were used to analyze the proteomes of sputum supernatants from 246 participants (206 asthmatic patients) as a novel means of asthma stratification. Microarray analysis of sputum cells provided transcriptomics data additionally to inform on underlying mechanisms. Results: Analysis of the sputum proteome resulted in 10 clusters (ie, proteotypes) based on similarity in proteomic features, representing discrete molecular subphenotypes of asthma. Overlaying granulocyte counts onto the 10 clusters as metadata further defined 3 of these as highly eosinophilic, 3 as highly neutrophilic, and 2 as highly atopic with relatively low granulocytic inflammation. For each of these 3 phenotypes, logistic regression analysis identified candidate protein biomarkers, and matched transcriptomic data pointed to differentially activated underlying mechanisms. Conclusion: This study provides further stratification of asthma currently classified based on quantification of granulocytic inflammation and provided additional insight into their underlying mechanisms, which could become targets for novel therapies.
  •  
2.
  • Ziegler, Friederike, et al. (författare)
  • Expanding the concept of sustainable seafood using Life Cycle Assessment
  • 2016
  • Ingår i: Fish and Fisheries. - 1467-2960. ; 17:4, s. 1073-1093
  • Tidskriftsartikel (refereegranskat)abstract
    • Fisheries management and sustainability assessment of fisheries more generally have recently expanded their scope from single-species stock assessment to ecosystem-based approaches, aiming to incorporate economic, social and local environmental impacts, while still excluding global-scale environmental impacts. In parallel, Life Cycle Assessment (LCA) has emerged as a widely used and recommended framework to assess environmental impacts of products, including global-scale impacts. For over a decade, LCA has been applied to seafood supply chains, leading to new insights into the environmental impact of seafood products.We present insights from seafood LCA research with particular focus on evaluating fisheries management, which strongly influences the environmental impact of seafood products. Further, we suggest tangible ways in which LCA could be taken up in management. By identifying trade-offs, LCA can be a useful decision support tool and avoids problem shifting from one concern (or activity) to another. The integrated, product-based and quantitative perspective brought by LCA could complement existing tools. One example is to follow up fuel use of fishing, as the production and combustion of fuel used dominates overall results for various types of environmental impacts of seafood products, and is also often linked to biological impacts of fishing. Reducing the fuel use of fisheries is therefore effective to reduce overall impacts. Allocating fishing rights based on environmental performance could likewise facilitate the transition to low-impact fisheries. Taking these steps in an open dialogue between fishers, managers, industry, NGOs and consumers would enable more targeted progress towards sustainable fisheries.
  •  
3.
  • Brune, Mats, et al. (författare)
  • Improved leukemia-free survival after postconsolidation immunotherapy with histamine dihydrochloride and interleukin-2 in acute myeloid leukemia: results of a randomized phase 3 trial
  • 2006
  • Ingår i: Blood. - 0006-4971 (Print). ; 108:1, s. 88-96
  • Tidskriftsartikel (refereegranskat)abstract
    • The primary objective of this phase 3 study was to determine whether postconsolidation immunotherapy with interleukin-2 (IL-2) and histamine dihydrochloride (HDC) improved the leukemia-free survival (LFS) of adult patients with acute myeloid leukemia (AML) in complete remission (CR). Three hundred twenty patients with AML (median age, 57 years; range, 18-84 years) were stratified by CR1 or subsequent CR (CR > 1) and randomly assigned to treatment with HDC/IL-2 or no treatment (control). Treatment comprised 10 21-day cycles with IL-2 (16 400 U/kg) plus HDC (0.5 mg); both compounds were administered by subcutaneous injection twice daily. Study arms were balanced for age, sex, previous treatment, leukemic karyotypes, time from CR to inclusion, and frequency of secondary leukemia. Three years after enrollment of the last patient, treatment with HDC/IL-2 was found to improve LFS over control in the study population (CR1 + CR > 1, n = 320; P < .01, log-rank test). For patients in CR1 (n = 261), treatment significantly improved LFS (P = .01) with 3-year LFS estimates of 40% (HDC/IL-2) compared with 26% (control). Side effects were typically mild to moderate. These results indicate that HDC/IL-2 treatment offers an efficacious and tolerable treatment for patients with AML in remission.
  •  
4.
  • Burg, Dominic, et al. (författare)
  • Large-Scale Label-Free Quantitative Mapping of the Sputum Proteome
  • 2018
  • Ingår i: Journal of Proteome Research. - American Chemical Society (ACS). - 1535-3893. ; 17:6, s. 2072-2091
  • Tidskriftsartikel (refereegranskat)abstract
    • Analysis of induced sputum supematant is a minimally invasive approach to study the epithelial lining fluid and, thereby, provide insight into normal lung biology and the pathobiology of lung diseases. We present here a novel proteomics approach to sputum analysis developed within the U-BIOPRED (unbiased biomarkers predictive of respiratory disease outcomes) international project. We present practical and analytical techniques to optimize the detection of robust biomarkers in proteomic studies. The normal sputum proteome was derived using data-independent HDMSE applied to 40 healthy nonsmoking participants, which provides an essential baseline from which to compare modulation of protein expression in respiratory diseases. The "core" sputum proteome (proteins detected in >= 40% of participants) was composed of 284 proteins, and the extended proteome (proteins detected in >= 3 participants) contained 1666 proteins. Quality control procedures were developed to optimize the accuracy and consistency of measurement of sputum proteins and analyze the distribution of sputum proteins in the healthy population. The analysis showed that quantitation of proteins by HDMSE is influenced by several factors, with some proteins being measured in all participants' samples and with low measurement variance between samples from the same patient. The measurement of some proteins is highly variable between repeat analyses, susceptible to sample processing effects, or difficult to accurately quantify by mass spectrometry. Other proteins show high interindividual variance. We also highlight that the sputum proteome of healthy individuals is related to sputum neutrophil levels, but not gender or allergic sensitization. We illustrate the importance of design and interpretation of disease biomarker studies considering such protein population and technical measurement variance.
  •  
5.
  •  
6.
  • Grüning, Björn, et al. (författare)
  • Bioconda: A sustainable and comprehensive software distribution for the life sciences
  • 2017
  • Annan publikation (övrigt vetenskapligt)abstract
    • We present Bioconda (https://bioconda.github.io), a distribution of bioinformatics software for the lightweight, multi-platform and language-agnostic package manager Conda. Currently, Bioconda offers a collection of over 3000 software packages, which is continuously maintained, updated, and extended by a growing global community of more than 200 contributors. Bioconda improves analysis reproducibility by allowing users to define isolated environments with defined software versions, all of which are easily installed and managed without administrative privileges.
7.
  • Höglinger, Günter U, et al. (författare)
  • Clinical diagnosis of progressive supranuclear palsy : The movement disorder society criteria
  • 2017
  • Ingår i: Movement Disorders. - John Wiley and Sons Inc.. - 0885-3185. ; 32:6, s. 853-864
  • Tidskriftsartikel (refereegranskat)abstract
    • Background: PSP is a neuropathologically defined disease entity. Clinical diagnostic criteria, published in 1996 by the National Institute of Neurological Disorders and Stroke/Society for PSP, have excellent specificity, but their sensitivity is limited for variant PSP syndromes with presentations other than Richardson's syndrome. Objective: We aimed to provide an evidence- and consensus-based revision of the clinical diagnostic criteria for PSP. Methods: We searched the PubMed, Cochrane, Medline, and PSYCInfo databases for articles published in English since 1996, using postmortem diagnosis or highly specific clinical criteria as the diagnostic standard. Second, we generated retrospective standardized clinical data from patients with autopsy-confirmed PSP and control diseases. On this basis, diagnostic criteria were drafted, optimized in two modified Delphi evaluations, submitted to structured discussions with consensus procedures during a 2-day meeting, and refined in three further Delphi rounds. Results: Defined clinical, imaging, laboratory, and genetic findings serve as mandatory basic features, mandatory exclusion criteria, or context-dependent exclusion criteria. We identified four functional domains (ocular motor dysfunction, postural instability, akinesia, and cognitive dysfunction) as clinical predictors of PSP. Within each of these domains, we propose three clinical features that contribute different levels of diagnostic certainty. Specific combinations of these features define the diagnostic criteria, stratified by three degrees of diagnostic certainty (probable PSP, possible PSP, and suggestive of PSP). Clinical clues and imaging findings represent supportive features. Conclusions: Here, we present new criteria aimed to optimize early, sensitive, and specific clinical diagnosis of PSP on the basis of currently available evidence.
  •  
8.
  • Kuo, Chih-Hsi Scott, et al. (författare)
  • A transcriptome-driven analysis of epithelial brushings and bronchial biopsies to define asthma phenotypes in U-BIOPRED
  • 2017
  • Ingår i: American Journal of Respiratory and Critical Care Medicine. - 1073-449X. ; 194:4, s. 443-455
  • Tidskriftsartikel (refereegranskat)abstract
    • RATIONALE AND OBJECTIVES: Asthma is a heterogeneous disease driven by diverse immunologic and inflammatory mechanisms. We used transcriptomic profiling of airway tissues to help define asthma phenotypes.METHODS: The transcriptome from bronchial biopsies and epithelial brushings of 107 moderate-to-severe asthmatics were annotated by gene-set variation analysis (GSVA) using 42 gene-signatures relevant to asthma, inflammation and immune function. Topological data analysis (TDA) of clinical and histological data was used to derive clusters and the nearest shrunken centroid algorithm used for signature refinement.RESULTS: 9 GSVA signatures expressed in bronchial biopsies and airway epithelial brushings distinguished two distinct asthma subtypes associated with high expression of T-helper type 2 (Th-2) cytokines and lack of corticosteroid response (Group 1 and Group 3). Group 1 had the highest submucosal eosinophils, high exhaled nitric oxide (FeNO) levels, exacerbation rates and oral corticosteroid (OCS) use whilst Group 3 patients showed the highest levels of sputum eosinophils and had a high BMI. In contrast, Group 2 and Group 4 patients had an 86% and 64% probability of having non-eosinophilic inflammation. Using machine-learning tools, we describe an inference scheme using the currently-available inflammatory biomarkers sputum eosinophilia and exhaled nitric oxide levels along with OCS use that could predict the subtypes of gene expression within bronchial biopsies and epithelial cells with good sensitivity and specificity.CONCLUSION: This analysis demonstrates the usefulness of a transcriptomic-driven approach to phenotyping that segments patients who may benefit the most from specific agents that target Th2-mediated inflammation and/or corticosteroid insensitivity.
  •  
9.
  • Kuo, Chih-Hsi S., et al. (författare)
  • Contribution of airway eosinophils in airway wall remodeling in asthma : Role of MMP-10 and MET
  • 2019
  • Ingår i: Allergy. European Journal of Allergy and Clinical Immunology. - John Wiley & Sons. - 0105-4538. ; 74:6, s. 1102-1112
  • Tidskriftsartikel (refereegranskat)abstract
    • Background Eosinophils play an important role in the pathophysiology of asthma being implicated in airway epithelial damage and airway wall remodeling. We determined the genes associated with airway remodeling and eosinophilic inflammation in patients with asthma. Methods We analyzed the transcriptomic data from bronchial biopsies of 81 patients with moderate-to-severe asthma of the U-BIOPRED cohort. Expression profiling was performed using Affymetrix arrays on total RNA. Transcription binding site analysis used the PRIMA algorithm. Localization of proteins was by immunohistochemistry. Results Using stringent false discovery rate analysis, MMP-10 and MET were significantly overexpressed in biopsies with high mucosal eosinophils (HE) compared to low mucosal eosinophil (LE) numbers. Immunohistochemical analysis confirmed increased expression of MMP-10 and MET in bronchial epithelial cells and in subepithelial inflammatory and resident cells in asthmatic biopsies. Using less-stringent conditions (raw P-value < 0.05, log2 fold change > 0.5), we defined a 73-gene set characteristic of the HE compared to the LE group. Thirty-three of 73 genes drove the pathway annotation that included extracellular matrix (ECM) organization, mast cell activation, CC-chemokine receptor binding, circulating immunoglobulin complex, serine protease inhibitors, and microtubule bundle formation pathways. Genes including MET and MMP10 involved in ECM organization correlated positively with submucosal thickness. Transcription factor binding site analysis identified two transcription factors, ETS-1 and SOX family proteins, that showed positive correlation with MMP10 and MET expression. Conclusion Pathways of airway remodeling and cellular inflammation are associated with submucosal eosinophilia. MET and MMP-10 likely play an important role in these processes.
  •  
10.
  • Lefaudeux, Diane, et al. (författare)
  • U-BIOPRED clinical adult asthma clusters linked to a subset of sputum omics
  • 2017
  • Ingår i: Journal of Allergy and Clinical Immunology. - 0091-6749. ; 139:6, s. 1797-1807
  • Tidskriftsartikel (refereegranskat)abstract
    • BACKGROUND: Asthma is a heterogeneous disease in which there is a differential response to asthma treatments. This heterogeneity needs to be evaluated so that a personalized management approach can be provided.OBJECTIVES: We stratified patients with moderate-to-severe asthma based on clinicophysiologic parameters and performed an omics analysis of sputum.METHODS: Partition-around-medoids clustering was applied to a training set of 266 asthmatic participants from the European Unbiased Biomarkers for the Prediction of Respiratory Diseases Outcomes (U-BIOPRED) adult cohort using 8 prespecified clinic-physiologic variables. This was repeated in a separate validation set of 152 asthmatic patients. The clusters were compared based on sputum proteomics and transcriptomics data.RESULTS: Four reproducible and stable clusters of asthmatic patients were identified. The training set cluster T1 consists of patients with well-controlled moderate-to-severe asthma, whereas cluster T2 is a group of patients with late-onset severe asthma with a history of smoking and chronic airflow obstruction. Cluster T3 is similar to cluster T2 in terms of chronic airflow obstruction but is composed of nonsmokers. Cluster T4 is predominantly composed of obese female patients with uncontrolled severe asthma with increased exacerbations but with normal lung function. The validation set exhibited similar clusters, demonstrating reproducibility of the classification. There were significant differences in sputum proteomics and transcriptomics between the clusters. The severe asthma clusters (T2, T3, and T4) had higher sputum eosinophilia than cluster T1, with no differences in sputum neutrophil counts and exhaled nitric oxide and serum IgE levels.CONCLUSION: Clustering based on clinicophysiologic parameters yielded 4 stable and reproducible clusters that associate with different pathobiological pathways.
  •  
Skapa referenser, mejla, bekava och länka
  • Resultat 1-10 av 16
  • [1]2Nästa
Åtkomst
fritt online (1)
Typ av publikation
tidskriftsartikel (14)
annan publikation (1)
forskningsöversikt (1)
Typ av innehåll
refereegranskat (12)
övrigt vetenskapligt (4)
Författare/redaktör
Djukanovic, Ratko (10)
Corfield, Julie (9)
Pandis, Ioannis (9)
Krug, Norbert (9)
Auffray, Charles, (9)
Horvath, Ildiko (8)
visa fler...
Sterk, Peter J. (8)
Dahlen, Sven-Erik (8)
Adcock, Ian M (8)
Caruso, Massimo (7)
Montuschi, Paolo (7)
Sousa, Ana R. (6)
Sandström, Thomas, 1 ... (6)
Fowler, Stephen J. (6)
Sun, Kai (5)
Fleming, Louise (4)
Chanez, Pascal (4)
Singer, Florian (4)
Sandström, Thomas, (3)
Shaw, Dominick (3)
Roberts, Graham (3)
Bansal, Aruna (3)
Ahmed, H. (2)
Mollenhauer, Brit, (2)
Yu, W (2)
Unneberg, Per, (2)
Sehgal, N. (2)
Nilsson, Peter, (2)
Nilsson, Christer, (2)
Ballereau, S (2)
Lemonnier, N (2)
Sjödin, Andreas (2)
Englund, Elisabet, (2)
Arzberger, Thomas (2)
Gelpi, Ellen (2)
Riley, John (2)
Staykova, Doroteya, (2)
Corvol, Jean-Christo ... (2)
Brueffer, Christian, (2)
Johnson, K (2)
Vyas, A (2)
Zetterquist, W, (2)
Martin, Marcel, (2)
Pellet, J (2)
Antonini, Angelo, (2)
Giese, Armin (2)
Troakes, Claire (2)
Rabinovici, Gil D (2)
Hu, X (2)
Zwinderman, A. H. (2)
visa färre...
Lärosäte
Umeå universitet (10)
Karolinska Institutet (7)
Lunds universitet (5)
Uppsala universitet (4)
Göteborgs universitet (2)
Kungliga Tekniska Högskolan (2)
visa fler...
Chalmers tekniska högskola (2)
RISE (1)
visa färre...
Språk
Engelska (16)
Forskningsämne (UKÄ/SCB)
Medicin och hälsovetenskap (15)
Naturvetenskap (4)
Teknik (1)
Lantbruksvetenskap (1)

År

 
pil uppåt Stäng

Kopiera och spara länken för att återkomma till aktuell vy