| 1. |
- Alahmadi, Fahad, et al.
(författare)
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Measures of adherence in patients with severe asthma prescribed systemic steroids in the U-BIOPRED cohort
- 2018
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Ingår i: European Respiratory Journal. - : European Respiratory Society. - 0903-1936 .- 1399-3003. ; 52
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- Introduction: Rates of sub-optimal adherence to medications in asthma range up to 70%; the impact in severe asthma is likely to be particularly high. We measured self-reported adherence in participants in the U-BIOPRED cohort prescribed daily prednisolone using the Medication Adherence Response Scale (MARS), and compared to measured urinary prednisolone and metabolites in order to determine: 1. the prevalence of suboptimal adherence by each method; 2. the ability of MARS to predict urinary steroid detection.Methods: Participants completed the MARS, and/or provided urine samples (analysed for prednisolone and metabolites by LCMS). The performance characteristics of the MARS predicting undetected urinary steroid were calculated in the subgroup having both tests.Results: 181 participants currently taking regular oral corticosteroids were included, 59% female, mean (SD) age 54(12)yrs, FEV1 64.7(20.4)% predicted. Sub-optimal adherence (MARS score < 4.5) was reported in 62 participants, and 76 did not have detectable urinary prednisolone or metabolites. Good adherence by both methods was detected in only 52 participants (34%, see table). There was no difference in daily prednisolone dose between detectable and undetectable metabolites groups (p=0.848).Conclusion: Low levels of adherence to treatment in severe asthma is a common problem, when measured either directly or self-reported. There was very poor agreement (48% concordance) between these two methods, and we suggest that, for now both approaches should be used.
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| 2. |
- Burg, Dominic, et al.
(författare)
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Large-Scale Label-Free Quantitative Mapping of the Sputum Proteome
- 2018
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Ingår i: Journal of Proteome Research. - : American Chemical Society (ACS). - 1535-3893 .- 1535-3907. ; 17:6, s. 2072-2091
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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.
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| 3. |
- Schofield, James P. R., et al.
(författare)
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Topological data analysis (TDA) of U-BIOPRED paediatric peripheral blood gene expression identified asthma phenotypes characterised by alternative splicing of glucocorticoid receptor (GR) mRNA
- 2018
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Ingår i: European Respiratory Journal. - : European Respiratory Society. - 0903-1936 .- 1399-3003. ; 52
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- Background: Molecular stratification of childhood asthma could enable targeted therapy.Aims: Unbiased analysis of gene expression in paediatric severe (SA) and moderate/mild asthma (MA) blood samples to identify sub-phenotypes.Methods: Transcriptomic profiling by microarray analysis of blood from the U-BIOPRED paediatric cohort (Fleming ERJ 2015), pre- and school-age children, (SApre, n=62; MApre, n=42; SAsc, n=75 and MAsc, n=37). Topological data analysis (TDA) was used for unbiased clustering.Results: Sub-phenotypes, P1, P2, P3 and P4 were identified and are highlighted in the TDA network in the figure and a heatmap of selected variables. P1 (38% of the cohort, median 11 yrs) was characterised by low expression of glucocorticoid receptor (GR) mRNA splice variant with a long 3’ UTR (q = 2.43E-17), but no significant difference in the expression of glucocorticoid receptor (GR) mRNA splice variant with a short 3’ UTR. In P1, COX2 expression was up (q = 1.89E-06) and IFN-γ was down (q = 5.61E-06), characteristics of a decreased steroid response.Conclusion: Unbiased analysis of U-BIOPRED paediatric peripheral blood gene expression identified a sub-phenotype, P1, with an inhibited steroid response. P1 is associated with low expression of a splice variant of GR with a long 3’ UTR.
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| 4. |
- Wilson, Susan Jane, et al.
(författare)
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Periostin expression in the U-BIOPRED severe asthma bronchoscopy cohort
- 2018
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Ingår i: European Respiratory Journal. - : European Respiratory Society. - 0903-1936 .- 1399-3003. ; 52
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- Periostin (POSTN) is secreted basolaterally by bronchial epithelial cells in asthma and is expressed in the extracellular matrix where it is thought to play a role in fibrosis and is associated with airway eosinophilia.In this study we have assessed the protein expression of POSTN in bronchial biopsies by immunohistochemistry, in serum by the Elecsys Periostin Immunoassay and measured gene expression by Affymetrix arrays in bronchial biopsies, bronchial brushings and in sputum in the U-BIOPRED severe asthma study in the bronchoscopy sub-cohort, which included 4 groups; severe non-smoker asthmatics (SAns), current / ex-smoker severe asthmatics (SAs), mild-moderate asthmatics (MMA) and non-asthmatic healthy controls (HC).Subepithelial protein expression in the bronchial biopsies was higher (p=0.02) in SAns, 9.2% (IQR 5.8-12.6)(n=44) compared to SAs 6.2% (3-9.2)(n=16), and in MMA 11% (7.5-12.6)(n=32) compared to SAs (p=0.002) or HC 7.1% (5.5-10.3)(p=0.01)(n=39). There was no difference between SAns and MMA. Gene expression was higher in biopsies from SAns (n=30), -0.044 (IQR -0.425-0.508), compared to both the SAs (n=9), -0.274 (-0.590-0.200), (p=0.02) and HC (n=21), -0.377 (-0.583-0.125), (p=0.008), but similar in MMA. There was no difference between the groups in POSTN serum levels or in gene expression in bronchial brushings or sputum.In asthmatics, the biopsy protein expression correlated with the biopsy gene expression, and both correlated with eosinophils numbers in the biopsies and blood, exhaled NO, and thickness of the lamina reticularis.These results highlight the potential relevance of tissue POSTN to asthma pathophysiology however, this does not appear to be reflected by serum POSTN measures.
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