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Epigenetic profiling identifies potential COPD treatment targets

Epigenetic profiling identifies potential COPD treatment targets
Genome-wide DNA methylation changes occur early in human lung fibroblasts during COPD and progress with disease development. A. Lung function data of COPD (II-IV) and no COPD (ex-smoker controls) donors used in this study. The lung function between the two groups is significantly different. B. Schematic diagram illustrating the experimental approach used for epigenetic (T-WGBS) and transcriptomic (RNA-seq) profiling of purified primary parenchymal lung fibroblasts. C–I. T-WGBS data of primary fibroblasts from no COPD and COPD (II–IV) patients were analyzed at single CpGs level (C) and on DMRs (D–I). C. Genome wide CpG methylation statistics. Bar plot showing the fraction of high (> 80%), moderate (20–80%), and low (< 20%) methylated CpGs in no COPD and COPD (II–IV) samples. D. Number of hyper- or hypomethylated DMRs in COPD (II-IV). E. Detailed view of a representative hypo- (top) and hypermethylated (bottom) DMR (gray box). CpG methylation levels of each individual donor (dots) and the group average (lines) methylation profile of three no COPD (blue) and five COPD (II–IV) (dark green) donors are displayed. RefSeq annotated genes and CpG islands are indicated. F. Heatmap of 6,279 DMRs identified in COPD (II-IV). Statistically significant DMRs (at significance level = 0.1; see methods for DMR calling details) with at least three CpGs and a mean difference in methylation between no COPD and COPD (II–IV) of ≥ 10% were selected. Color shades indicate low (light) or high (dark) DMR methylation. G. PCA of COPD (II–IV) (dark green), no COPD (blue), and mild COPD (I) (light green, samples not used for initial DMR calling) on identified 6,279 DMRs. H. K-means clustering of all DMRs identified between no COPD and COPD (II–IV) across all samples, including COPD (I). Three clusters were identified. Cluster 1 shows early hypomethylation in COPD (I), clusters 2 and 3, gradual hyper- and hypomethylation, respectively. Donors are sorted according to their FEV1 value as indicated at the bottom. I. Representative methylation profiles at selected DMRs from each cluster. Group median CpG methylation is shown for no COPD (blue), COPD (I) (light green), and COPD (II–IV) (dark green). RefSeq annotated genes and CpG islands are indicated. Data information: In (A), data points represent each donor values and horizontal bars the group median. An unpaired non-parametric t-test (Mann–Whitney test, GraphPad Prism software, version 8.0.1) was employed to compare the lung function (FEV1 and FEV1/FVC values) between control (no COPD, n = 3) and COPD II-IV donors (n = 5), *P-value < 0.05. Exact P-values are: FEV1, P-value = 0.0357; FEV1/FVC, P-value = 0.0357. FEV1, forced expiratory volume in 1 s; FVC, forced vital capacity; T-WGBS, tagmentation-based whole-genome bisulfite sequencing; DMR, differentially methylated regions; PCA, principal component analysis. Credit: The EMBO Journal (2023). DOI: 10.15252/embj.2022111272

Impaired function of lung fibroblast is considered causative for symptoms of the incurable lung disease COPD (Chronic Obstructive Pulmonary Disease). Using high-resolution epigenetic profiling, German and British scientists have now identified potential targets for COPD treatment. The team detected early epigenetic changes in the genome of COPD fibroblasts, providing new insights into the disease pathogenesis and potential therapeutic avenues.

COPD, affecting approximately 600 million people globally, is characterized by chronic inflammation, progressive airway narrowing, and alveolar destruction. Despite its global prevalence, the driving lung fibroblast dysfunction in COPD have remained elusive.

"For example, we know that smoking—the main risk factor for COPD—strongly modifies the epigenome of lung cells. However, we do not yet know which occur specifically in lung fibroblasts during the course of the disease, and how these changes trigger aberrant signaling pathways that drive the impaired functions of fibroblasts in COPD," says Maria Llamazares-Prada from the German Cancer Research Center (DKFZ), one of the first authors of the current study.

Changes in cellular programs are controlled by a variety of epigenetic modifications. These chemical marks influence which genes are read and which are not. The best studied epigenetic mechanism is the attachment of methyl groups to DNA. Methylation changes in COPD have been studied previously, but mostly in mixed cell populations.

Together with colleagues from the University of Cardiff, the Translational Lung Research Center, Boehringer Ingelheim and the BioMedX Institute in Heidelberg, Uwe Schwartz, Llamazares and colleagues have now analyzed for the first time the methylome of isolated COPD fibroblasts at high resolution across different disease stages.

The researchers found that significant methylation changes occur early in the disease, particularly in regulatory regions of the genome. Proteins that activate or inhibit transcription bind to these altered regions, potentially affecting the expression of several genes.

Crucially, the team identified that regions with changed methylation patterns contain binding sites for transcription factors TCF21 and FOSL2/FRA2, which regulate key fibroblast processes associated with COPD. This discovery, combined with the integration of DNA methylation and gene expression data, led to the selection of 110 candidate genes that may regulate these changes in COPD fibroblasts.

Senior author, Renata Z. Jurkowska, Cardiff University (UK), stated, "Our aim was to support the development of new diagnostic strategies for early COPD and the rational selection of targets with potential disease-modifying activities. Further research is needed to pinpoint the target genes of the identified regulators in lung fibroblasts and their specific role in disease development."

The findings open a new window into understanding the epigenetic underpinnings of COPD and may lead to innovative treatment approaches for this incurable disease.

The study is published in The EMBO Journal.

More information: Uwe Schwartz et al, High‐resolution transcriptomic and epigenetic profiling identifies novel regulators of COPD, The EMBO Journal (2023). DOI: 10.15252/embj.2022111272

Journal information: EMBO Journal
Citation: Epigenetic profiling identifies potential COPD treatment targets (2023, May 24) retrieved 25 April 2024 from https://medicalxpress.com/news/2023-05-epigenetic-profiling-potential-copd-treatment.html
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