Ex Vivo Artifacts and Histopathologic Pitfalls in the Lung.

CONTEXT: Surgical and pathologic handling of lung physically affects lung tissue. This leads to artifacts that alter the morphologic appearance of pulmonary parenchyma. OBJECTIVE: To describe and illustrate mechanisms of ex vivo artifacts that may lead to diagnostic pitfalls. DESIGN: In this study 4 mechanisms of ex vivo artifacts and corresponding diagnostic pitfalls are described and illustrated. RESULTS: The 4 patterns of artifacts are: (1) surgical collapse, due to the removal of air and blood from pulmonary resections; (2) ex vivo contraction of bronchial and bronchiolar smooth muscle; (3) clamping edema of open lung biopsies; and (4) spreading of tissue fragments and individual cells through a knife surface. Morphologic pitfalls include diagnostic patterns of adenocarcinoma, asthma, constrictive bronchiolitis, and lymphedema. CONCLUSION: Four patterns of pulmonary ex vivo artifacts are important to recognize in order to avoid morphologic misinterpretations.

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 diseases.

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

RATIONALE: 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. OBJECTIVES: 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. METHODS: 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%. MEASUREMENTS AND MAIN RESULTS: 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. CONCLUSIONS: 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 function.

Transcriptome sequencing (RNA-Seq) of human endobronchial biopsies: asthma versus controls.

The cellular and molecular pathways in asthma are highly complex. Increased understanding can be obtained by unbiased transcriptomic analysis (RNA-Seq). We hypothesised that the transcriptomic profile of whole human endobronchial biopsies differs between asthma patients and controls. First, we investigated the feasibility of obtaining RNA from whole endobronchial biopsies suitable for RNA-Seq. Secondly, we examined the difference in transcriptomic profiles between asthma and controls. This cross-sectional study compared four steroid-free atopic asthma patients and five healthy nonatopic controls. Total RNA from four biopsies per subject was prepared for RNA-Seq. Comparison of the numbers of reads per gene in asthma and controls was based on the Poisson distribution. 46 genes were differentially expressed between asthma and controls, including pendrin, periostin and BCL2. 10 gene networks were found to be involved in cellular morphology, movement and development. RNA isolated from whole human endobronchial biopsies is suitable for RNA-Seq, showing different transcriptomic profiles between asthma and controls. Novel and confirmative genes were found to be linked to asthma. These results indicate that biological processes in the airways of asthma patients are regulated differently when compared to controls, which may be relevant for the pathogenesis and treatment of the disease.

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

BACKGROUND: 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 in vitro spectral analysis of elastin powder. We hypothesized that FCFM images capture in vivo 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. METHODS: 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 κw. RESULTS: 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 (κw 0.744). 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. CONCLUSION: FCFM captures the elastic fibre pattern within the airway wall in humans in vivo. 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. TRIAL REGISTRATION: Netherlands Trial Register NTR1306.