In vivo imaging of the airway wall in asthma: fibered confocal fluorescence microscopy in relation to histology and lung function

<p>Abstract</p> <p>Background</p> <p>Airway remodelling is a feature of asthma including fragmentation of elastic fibres observed in the superficial elastin network of the airway wall. Fibered confocal fluorescence microscopy (FCFM) is a new and non-invasive imaging technique performed during bronchoscopy that may visualize elastic fibres, as shown by <it>in vitro </it>spectral analysis of elastin powder. We hypothesized that FCFM images capture <it>in vivo </it>elastic fibre patterns within the airway wall and that such patterns correspond with airway histology. We aimed to establish the concordance between the bronchial elastic fibre pattern in histology and FCFM. Second, we examined whether elastic fibre patterns in histology and FCFM were different between asthmatic subjects and healthy controls. Finally, the association between these patterns and lung function parameters was investigated.</p> <p>Methods</p> <p>In a cross-sectional study comprising 16 subjects (8 atopic asthmatic patients with controlled disease and 8 healthy controls) spirometry and bronchoscopy were performed, with recording of FCFM images followed by endobronchial biopsy at the airway main carina. Elastic fibre patterns in histological sections and FCFM images were scored semi-quantitatively. Agreement between histology and FCFM was analysed using linearly weighted kappa κ_w.</p> <p>Results</p> <p>The patterns observed in histological sections and FCFM images could be divided into 3 distinct groups. There was good agreement between elastic fibre patterns in histology and FCFM patterns (κ_w0.744). The semi-quantitative pattern scores were not different between asthmatic patients and controls. Notably, there was a significant difference in post-bronchodilator FEV₁%predicted between the different patterns by histology (p = 0.001) and FCFM (p = 0.048), regardless of asthma or atopy.</p> <p>Conclusion</p> <p>FCFM captures the elastic fibre pattern within the airway wall in humans <it>in vivo</it>. The association between post-bronchodilator FEV₁%predicted and both histological and FCFM elastic fibre patterns points towards a structure-function relationship between extracellular matrix in the airway wall and lung function.</p> <p>Trial registration</p> <p>Netherlands Trial Register <a href="http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=NTR1306">NTR1306</a></p

Robust estimation of bacterial cell count from optical density

Optical density (OD) is widely used to estimate the density of cells in liquid culture, but cannot be compared between instruments without a standardized calibration protocol and is challenging to relate to actual cell count. We address this with an interlaboratory study comparing three simple, low-cost, and highly accessible OD calibration protocols across 244 laboratories, applied to eight strains of constitutive GFP-expressing E. coli. Based on our results, we recommend calibrating OD to estimated cell count using serial dilution of silica microspheres, which produces highly precise calibration (95.5% of residuals &lt;1.2-fold), is easily assessed for quality control, also assesses instrument effective linear range, and can be combined with fluorescence calibration to obtain units of Molecules of Equivalent Fluorescein (MEFL) per cell, allowing direct comparison and data fusion with flow cytometry measurements: in our study, fluorescence per cell measurements showed only a 1.07-fold mean difference between plate reader and flow cytometry data

Toward composite molecular signatures in the phenotyping of asthma

The complex biology of respiratory diseases such as asthma is feeding the discovery of various disease phenotypes. Although the clinical management of asthma phenotypes by using a single biomarker (e.g., sputum eosinophils) is successful, emerging evidence shows the requirement of multiscale, high-dimensional biological and clinical measurements to capture the complexity of various asthma phenotypes. High-throughput "omics" technologies, including transcriptomics, proteomics, lipidomics, and metabolomics, are increasingly standardized for biomarker discovery in asthma. The leading principle is obeying available guidelines on omics analysis, thereby strictly limiting false discovery. In this review we address the concept of transcriptomics using microarrays or next-generation RNA sequencing and their applications in asthma, highlighting the strengths and limitations of both techniques, and review metabolomics in exhaled air (breathomics) as a noninvasive alternative for sampling the airways directly. These developments will inevitably lead to the integration of molecular signatures in the phenotyping of asthma and other disease

Glucocorticoid-induced changes in gene expression of airway smooth muscle in patients with asthma

Glucocorticoids are the mainstay of asthma therapy. However, it is unclear whether the benefits of glucocorticoids in asthma are merely based on antiinflammatory properties. Glucocorticoids may also alter gene expression of airway smooth muscle (ASM). We hypothesized that the gene expression profile of the ASM layer in endobronchial biopsies of patients with asthma is altered by oral glucocorticoid therapy as compared with placebo. First, we investigated the change in ASM transcriptomic profile in endobronchial biopsies after 14 days of oral glucocorticoid therapy. Second, we investigated the association between changes in ASM transcriptomic profile and lung function. Twelve steroid-free patients with atopic asthma were included in this double-blind intervention study. Endobronchial biopsies were taken before and after 14 days of oral prednisolone (n = 6) or placebo (n = 6). RNA of laser-dissected ASM was sequenced (RNA-Seq) using GS FLX+ (454/Roche). Gene networks were identified by Ingenuity Pathway Analysis. RNA-Seq reads were assumed to follow a negative binomial distribution. At the current sample size the estimated false discovery rate was approximately 3%. Fifteen genes were significantly changed by 14 days of oral prednisolone. Two of these genes (FAM129A, SYNPO2) were associated with airway hyperresponsiveness (provocative concentration of methacholine causing a 20% drop in FEV1: r = -0.740, P < 0.01; r = -0.746, P < 0.01). Pathway analysis revealed three gene networks that were associated with cellular functions including cellular growth, proliferation, and development. Oral prednisolone changes the transcriptomic profile of the ASM layer in asthma. This indicates that in parallel to antiinflammatory properties, glucocorticoids also exert effects on gene expression of ASM, which is correlated with improved airway functio

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