ORCID Profile
0000-0002-0238-5982
Current Organisation
Leiden University Medical Center
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Publisher: European Respiratory Society (ERS)
Date: 07-03-2019
DOI: 10.1183/13993003.01202-2018
Abstract: The aim was to investigate whether microRNA (miRNA) expression is modulated by inhaled corticosteroid (ICS) treatment We performed genome-wide miRNA analysis on bronchial biopsies of 69 moderate/severe chronic obstructive pulmonary disease (COPD) patients at baseline and after 6- and 30-month treatment with the ICS fluticasone propionate or placebo. The effect of ICS on miRNA expression was validated in differentiated primary bronchial epithelial cultures, and functional studies were conducted in BEAS-2B cells. MiRNAs affected by ICS and their predicted targets were compared to an independent miRNA dataset of bronchial brushings from COPD patients and healthy controls. Treatment with ICS for both 6 and 30 months significantly altered the expression of four miRNAs, including miR-320d, which was increased during ICS treatment compared with placebo. The ICS-induced increase of miR-320d was confirmed in primary airway epithelial cells. MiR-320d negatively correlated targets were enriched for pro-inflammatory genes and were increased in the bronchial brushes of patients with lower lung function in the independent dataset. Overexpression of miR-320d in BEAS-2B cells d ened cigarette smoke extract-induced pro-inflammatory activity via inhibition of nuclear factor-κB. Collectively, we identified miR-320d as a novel mediator of ICS, regulating the pro-inflammatory response of the airway epithelium.
Publisher: Springer Science and Business Media LLC
Date: 11-02-1970
DOI: 10.1007/S00109-016-1388-1
Abstract: Reduced activity of histone deacetylase 2 (HDAC2) has been described in patients with chronic obstructive pulmonary disease (COPD), but the mechanisms resulting in decreased expression of this important epigenetic modifier remain unknown. Here, we employed several in vitro experiments to address the role of microRNAs (miRNAs) on the regulation of HDAC2 in endothelial cells. Manipulation of miRNA levels in human pulmonary artery endothelial cells (HPAEC) was achieved by using electroporation with anti-miRNAs and miRNA mimics. Target prediction software identified miR-223 as a potential repressor of HDAC2. In subsequent stimulation experiments using inflammatory cytokines known to be increased in patients with COPD, miR-223 was found to be significantly induced. Functional analysis demonstrated that overexpression of miR-223 decreased HDAC2 expression and activity in HPAEC. Conversely, HDAC2 expression and activity was preserved in anti-miR-223-treated cells. Direct miRNA-target interaction was confirmed by reporter gene assay. In a next step, reduced expression of HDAC2 was found to increase the levels of the chemokine fractalkine (CX3CL1). In vivo studies confirmed elevated expression levels of miR-223 in mice exposed to cigarette smoke and in emphysematous lung tissue from LPS-treated mice. Moreover, a significant inverse correlation of miR-223 and HDAC2 expression was found in two independent cohorts of COPD patients. These data emphasize that miR-223, the most prevalent miRNA in COPD, controls expression and activity of HDAC2 in pulmonary cells, which, in turn, might alter the expression profile of chemokines. This pathway provides a novel pathogenic link between dysregulated miRNA expression and epigenetic activity in COPD. Histone deacetylase 2 is directly targeted by miR-223. Levels of miR-223 are induced by interleukin-1β and tumor necrosis factor-α. miR-223 controls the expression of fractalkine by targeting histone deacetylase 2. miR-223 levels are increased in COPD mouse models. miR-223 levels inversely correlate with HDAC2 expression in COPD patients.
Publisher: Wiley
Date: 22-11-2023
DOI: 10.1111/RESP.14401
Abstract: Smoking disturbs the bronchial-mucus-barrier. This study assesses the cellular composition and gene expression shifts of the bronchial-mucus-barrier with smoking to understand the mechanism of mucosal damage by cigarette smoke exposure. We explore whether single-cell-RNA-sequencing (scRNA-seq) based cellular deconvolution (CD) can predict cell-type composition in RNA-seq data. RNA-seq data of bronchial biopsies from three cohorts were analysed using CD. The cohorts included 56 participants with chronic obstructive pulmonary disease [COPD] (38 smokers 18 ex-smokers), 77 participants without COPD (40 never-smokers 37 smokers) and 16 participants who stopped smoking for 1 year (11 COPD and 5 non-COPD-smokers). Differential gene expression was used to investigate gene expression shifts. The CD-derived goblet cell ratios were validated by correlating with staining-derived goblet cell ratios from the COPD cohort. Statistics were done in the R software (false discovery rate p-value < 0.05). Both CD methods indicate a shift in bronchial-mucus-barrier cell composition towards goblet cells in COPD and non-COPD-smokers compared to ex- and never-smokers. It shows that the effect was reversible within a year of smoking cessation. A reduction of ciliated and basal cells was observed with current smoking, which resolved following smoking cessation. The expression of mucin and sodium channel (ENaC) genes, but not chloride channel genes, were altered in COPD and current smokers compared to never smokers or ex-smokers. The goblet cell-derived staining scores correlate with CD-derived goblet cell ratios. Smoking alters bronchial-mucus-barrier cell composition, transcriptome and increases mucus production. This effect is partly reversible within a year of smoking cessation. CD methodology can predict goblet-cell percentages from RNA-seq.
Publisher: European Respiratory Society (ERS)
Date: 19-05-2020
DOI: 10.1183/13993003.02320-2019
Abstract: Chronic respiratory diseases are highly prevalent worldwide and will continue to rise in the foreseeable future. Despite intensive efforts over the recent decades, the development of novel and effective therapeutic approaches has been slow. There is however new and increasing evidence that communities of microorganisms in our body, the human microbiome, are crucially involved in the development and progression of chronic respiratory diseases. Understanding the detailed mechanisms underlying this cross-talk between host and microbiota is critical for development of microbiome- or host-targeted therapeutics and prevention strategies. Here we review and discuss the most recent knowledge on the continuous reciprocal interaction between the host and microbes in health and respiratory disease. Furthermore, we highlight promising developments in microbiome-based therapies and discuss the need to employ more holistic approaches of restoring both the pulmonary niche and the microbial community.
Publisher: MDPI AG
Date: 06-10-2023
Publisher: Springer Science and Business Media LLC
Date: 09-10-2017
DOI: 10.1038/S41598-017-13265-8
Abstract: Chronic obstructive pulmonary disease (COPD) is characterized by a progressive airflow limitation and is associated with a chronic inflammatory response in both airways and lungs. microRNAs (miRNAs) are often highly conserved between species and have an intricate role within homeostatic conditions and immune responses. Also, miRNAs are dysregulated in smoking-associated diseases. We investigated the miRNA profile of 523 miRNAs by stem-loop RT-qPCR in lung tissue and cell-free bronchoalveolar lavage (BAL) supernatant of mice exposed to air or cigarette smoke (CS) for 4 or 24 weeks. After 24 weeks of CS exposure, 31 miRNAs were differentially expressed in lung tissue and 78 in BAL supernatant. Next, we correlated the miRNA profiling data to inflammation in BAL and lung, obtained by flow cytometry or ELISA. In addition, we surveyed for overlap with newly assessed miRNA profiles in bronchial biopsies and with previously assessed miRNA profiles in lung tissue and induced sputum supernatant of smokers with COPD. Several miRNAs showed concordant differential expression between both species including miR-31*, miR-155, miR-218 and let-7c. Thus, investigating miRNA profiling data in different compartments and both species provided accumulating insights in miRNAs that may be relevant in CS-induced inflammation and the pathogenesis of COPD.
Publisher: EMBO
Date: 04-05-2022
Publisher: European Respiratory Society (ERS)
Date: 06-2017
Publisher: American Society for Clinical Investigation
Date: 26-11-2018
DOI: 10.1172/JCI121087
Publisher: BMJ
Date: 07-12-2022
DOI: 10.1136/THORAX-2021-217736
Abstract: Severe asthma and chronic obstructive pulmonary disease (COPD) share common pathophysiological traits such as relative corticosteroid insensitivity. We recently published three transcriptome-associated clusters (TACs) using hierarchical analysis of the sputum transcriptome in asthmatics from the Unbiased Biomarkers for the Prediction of Respiratory Disease Outcomes (U-BIOPRED) cohort comprising one Th2-high inflammatory signature (TAC1) and two Th2-low signatures (TAC2 and TAC3). We examined whether gene expression signatures obtained in asthma can be used to identify the subgroup of patients with COPD with steroid sensitivity. Using gene set variation analysis, we examined the distribution and enrichment scores (ES) of the 3 TACs in the transcriptome of bronchial biopsies from 46 patients who participated in the Groningen Leiden Universities Corticosteroids in Obstructive Lung Disease COPD study that received 30 months of treatment with inhaled corticosteroids (ICS) with and without an added long-acting β-agonist (LABA). The identified signatures were then associated with longitudinal clinical variables after treatment. Differential gene expression and cellular convolution were used to define key regulated genes and cell types. Bronchial biopsies in patients with COPD at baseline showed a wide range of expression of the 3 TAC signatures. After ICS±LABA treatment, the ES of TAC1 was significantly reduced at 30 months, but those of TAC2 and TAC3 were unaffected. A corticosteroid-sensitive TAC1 signature was developed from the TAC1 ICS-responsive genes. This signature consisted of mast cell-specific genes identified by single-cell RNA-sequencing and positively correlated with bronchial biopsy mast cell numbers following ICS±LABA. Baseline levels of gene transcription correlated with the change in RV/TLC %predicted following 30-month ICS±LABA. Sputum-derived transcriptomic signatures from an asthma cohort can be recapitulated in bronchial biopsies of patients with COPD and identified a signature of airway mast cells as a predictor of corticosteroid responsiveness.
Publisher: European Respiratory Society (ERS)
Date: 02-08-2018
DOI: 10.1183/13993003.01556-2017
Abstract: Chronic mucus hypersecretion (CMH) is a common feature in chronic obstructive pulmonary disease (COPD) and is associated with worse prognosis and quality of life. This study aimed to identify microRNA (miRNA)–mRNA regulatory networks underlying CMH. The expression profiles of miRNA and mRNA in bronchial biopsies from 63 COPD patients were associated with CMH using linear regression. Potential mRNA targets of each CMH-associated miRNA were identified using Pearson correlations. Gene set enrichment analysis (GSEA) and STRING (search tool for the retrieval of interacting genes roteins) analysis were used to identify key genes and pathways. 20 miRNAs and 539 mRNAs were differentially expressed with CMH in COPD. The expression of 10 miRNAs was significantly correlated with the expression of one or more mRNAs. Of these, miR-134-5p, miR-146a-5p and the let-7 family had the highest representation of CMH-associated mRNAs among their negatively correlated predicted targets. KRAS and EDN1 were identified as key regulators of CMH and were negatively correlated predicted targets of miR-134-5p and let-7a-5p, let-7d-5p, and let-7f-5p, respectively. GSEA suggested involvement of MUC5AC -related genes and several other relevant gene sets in CMH. The lower expression of miR-134-5p was confirmed in primary airway fibroblasts from COPD patients with CMH. We identified miR-134-5p, miR-146a-5p and let-7 family, along with their potential target genes including KRAS and EDN1 , as potential key miRNA–mRNA networks regulating CMH in COPD.
No related grants have been discovered for Pieter Hiemstra.