Methylome signature of bronchoalveolar cells from Multiple Sclerosis patients in relation to smoking
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA634374 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Background Despite compelling evidence that cigarette smoking impacts the risk of developing Multiple Sclerosis (MS), little is known about smoking-associated changes in the primary exposed cells in the lung of patients. We aimed to examine molecular changes occurring in pulmonary immune cells from MS patients in relation to smoking and in comparison to healthy controls (HC). Methods We profiled genome-wide DNA methylation (5mC) and hydroxymethylation (5hmC) in bronchoalveolar lavage (BAL) cells collected from female MS patients (9 smokers, 8 non-smokers) and healthy volunteers (10 smokers, 12 non-smokers), using Illumina Infinium EPIC arrays on conventional (BS) and oxidative (oxBS) bisulfite DNA. We profiled gene expression using RNA-sequencing in non-smoker MS patients and controls. Findings The most prominent changes were found in relation to smoking, with 1376 BS-differentially methylated positions (DMPs), 131 5mC-DMPs and 4 5hmC-DMP (adjusted P < 0.05) differing between MS smokers and non-smokers. Approximately 30% of the affected genes overlapped with smoking-associated changes in HC, leading to a strong common smoking signature in both MS and HC after gene ontology analysis. Smoking in MS patients resulted in additional discrete changes related to neuronal processes. To further explore MS-specific signature, we performed RNA sequencing in BAL cells from non-smoker MS patients and controls. Overall, methylome and transcriptome analyses in non-smokers suggest that BAL cells from MS patients display very subtle but concordant changes associated to genes connected to reduced transcriptional/translational processes and enhanced cellular adhesion and migration, further corroborating findings from animal studies. Interpretation Our study provides new insights into the impact of smoking on lung inflammation in the immunopathogenesis of MS. -
2020-05-22 | GSE151017 | GEO
Project description:BackgroundDespite compelling evidence that cigarette smoking impacts the risk of developing multiple sclerosis (MS), little is known about smoking-associated changes in the primary exposed lung cells of patients.ObjectivesWe aimed to examine molecular changes occurring in bronchoalveolar lavage (BAL) cells from MS patients in relation to smoking and in comparison to healthy controls (HCs).MethodsWe profiled DNA methylation in BAL cells from female MS (n = 17) and HC (n = 22) individuals, using Illumina Infinium EPIC and performed RNA-sequencing in non-smokers.ResultsThe most prominent changes were found in relation to smoking, with 1376 CpG sites (adjusted P < 0.05) differing between MS smokers and non-smokers. Approximately 30% of the affected genes overlapped with smoking-associated changes in HC, leading to a strong common smoking signature in both MS and HC after gene ontology analysis. Smoking in MS patients resulted in additional discrete changes related to neuronal processes. Methylome and transcriptome analyses in non-smokers suggest that BAL cells from MS patients display very subtle (not reaching adjusted P < 0.05) but concordant changes in genes connected to reduced transcriptional/translational processes and enhanced cellular motility.ConclusionsOur study provides insights into the impact of smoking on lung inflammation and immunopathogenesis of MS.
| S-EPMC8145441 | biostudies-literature
Project description:Neuronal Methylome in Multiple Sclerosis
| PRJNA489474 | ENA
Project description:Background While smoking is known to associate with development of multiple diseases, the underlying mechanisms are still poorly understood. Tobacco smoking can modify the chemical integrity of DNA leading to changes in transcriptional activity, partly through an altered epigenetic state. We aimed to investigate the impact of smoking on lung cells collected from bronchoalveolar lavage (BAL). Methods We profiled changes in DNA methylation (5mC) and its oxidized form hydroxymethylation (5hmC) using conventional bisulfite (BS) treatment and oxidative bisulfite treatment with Illumina Infinium MethylationEPIC BeadChip, and examined gene expression by RNA-seq in healthy smokers. Findings We identified 1,667 BS methyl (5mC+5hmC), 1,756 5mC and 67 5hmC differentially methylated positions (DMPs) between smokers and nonsmokers (FDR <0.05, absolute Δβ >0.15). Both 5mC DMPs and to a lesser extent BS methyl (5mC+5hmC) were predominantly hypomethylated. In contrast, almost all 5hmC DMPs were hypermethylated, supporting the hypothesis that smoking-associated oxidative stress can lead to DNA demethylation, via the established sequential oxidation of which 5hmC is the first step. While we confirmed differential methylation of previously reported smoking-associated BS methyl CpGs using former generations of BeadChips in alveolar macrophages, the large majority of identified DMPs, BS methyl (1,639/1,667), 5mC (1,738/1,756), and 5hmC (67/67), have not been previously reported. Most of these novel smoking-associating sites are specific to the EPIC BeadChip and, interestingly, many of them are associated to FANTOM5 enhancers. Transcriptional changes affecting 633 transcripts were consistent with DNA methylation profiles and converged to alteration of genes involved in migration, signaling and inflammatory response of immune cells. Interpretation Collectively, these findings suggest that tobacco smoke exposure epigenetically modifies BAL cells, possibly involving a continuous active demethylation and subsequent increased activity of inflammatory processes in the lungs. -
2019-06-21 | GSE133062 | GEO
Project description:Smoking is common in people who live with HIV infection and has significant adverse effects on HIV outcomes. The impacts of smoking on methylome has been well established in non-HIV populations. However, the smoking’s effects on host methylome in HIV-positive population has not been investigated and it is unknown if smoking-associated DNA methylation link to HIV outcomes. In this study, we applied machine learning methods selected smoking-associated DNA methylation features to predict HIV related frailty and mortality.
2019-07-23 | GSE117860 | GEO
Project description:Smoking is common in people who live with HIV infection and has significant adverse effects on HIV outcomes. The impacts of smoking on methylome has been well established in non-HIV populations. However, the smoking’s effects on host methylome in HIV-positive population has not been investigated and it is unknown if smoking-associated DNA methylation link to HIV outcomes. In this study, we applied machine learning methods selected smoking-associated DNA methylation features to predict HIV related frailty and mortality.
2019-07-23 | GSE117859 | GEO
Project description:Integrative age-related changes in genome and epigenome in human lung in relation to smoking
| PRJNA981290 | ENA
Project description:Integrative age-related changes in genome and epigenome in human lung in relation to smoking
| PRJNA981291 | ENA
Project description:Lung cancer is the worldwide leading cause of death from cancer. Tobacco usage is the major pathogenic factor, however, not all lung cancers can be attributable to smoking. The genetic aberrations that differ between smokers' and never-smokers’ lung carcinomas remain to a large extent unclear. We analyzed 72 early-stage primary lung carcinomas including small cell lung cancers LCNEC, adenocarcinomas and squamous cell carcinomas by Illumina HT12 gene expression microarrays.
2012-05-17 | GSE29016 | GEO
Project description:Genetic Architecture of Smoking and Smoking Cessation
| PRJNA75689 | ENA