| 1. |
- Abdel-Aziz, Mahmoud I., et al.
(författare)
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A multi-omics approach to delineate sputum microbiome-associated asthma inflammatory phenotypes
- 2022
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Ingår i: European Respiratory Journal. - : European Respiratory Society. - 0903-1936 .- 1399-3003. ; 59:1
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Tidskriftsartikel (refereegranskat)abstract
- A multi-omics approach revealed the underlying biological pathways in the microbiome-driven severe asthma phenotypes. This may help to elucidate new leads for treatment development, particularly for the therapeutically challenging neutrophilic asthma.
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| 2. |
- 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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| 3. |
- George, Leena, et al.
(författare)
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Blood eosinophil count and airway epithelial transcriptome relationships in COPD versus asthma
- 2020
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Ingår i: Allergy. European Journal of Allergy and Clinical Immunology. - : WILEY. - 0105-4538 .- 1398-9995. ; 75:2, s. 370-380
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Tidskriftsartikel (refereegranskat)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.
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