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Effects of CPAP Therapy on Leukocyte Gene Expression

ABSTRACT: Rationale: Obstructive sleep apnea (OSA) has been associated with a number of chronic disorders that may improve with effective therapy. However, the molecular pathways affected by continuous positive airway pressure (CPAP) treatment are largely unknown. We sought to assess the system-wide consequences of CPAP therapy by transcriptionally profiling peripheral blood leukocytes (PBLs). Methods: Subjects diagnosed with severe OSA were treated with CPAP, and whole-genome expression measurement of PBLs was performed at baseline and following therapy. We used Gene Set Enrichment Analysis (GSEA) to identify gene sets that were differentially enriched. Network analysis was then applied to identify key drivers of pathways influenced by CPAP. Results: 18 subjects with severe OSA (apnea hypopnea index ≥ 30 events/hour) underwent CPAP therapy and microarray analysis of their PBLs. Treatment with CPAP improved AHI, daytime sleepiness and blood pressure but did not affect anthropometric measures. GSEA revealed a number of enriched gene sets, many of which were involved in neoplastic processes and displayed down-regulated expression patterns in response to CPAP. Network analysis identified several densely connected genes that are important modulators of cancer and tumor growth. Conclusions: Effective therapy of OSA with CPAP is associated with alterations in circulating leukocyte gene expression. Functional enrichment and network analyses highlighted transcriptional suppression in cancer-related pathways suggesting potentially novel mechanisms linking OSA with neoplastic signatures.

ORGANISM(S): Homo sapiens

PROVIDER: GSE49800 | GEO | 2013/12/31

SECONDARY ACCESSION(S): PRJNA214959

REPOSITORIES: GEO

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Effects of CPAP Therapy on Leukocyte Gene Expression

Project description:Rationale: Obstructive sleep apnea (OSA) has been associated with a number of chronic disorders that may improve with effective therapy. However, the molecular pathways affected by continuous positive airway pressure (CPAP) treatment are largely unknown. We sought to assess the system-wide consequences of CPAP therapy by transcriptionally profiling peripheral blood leukocytes (PBLs). Methods: Subjects diagnosed with severe OSA were treated with CPAP, and whole-genome expression measurement of PBLs was performed at baseline and following therapy. We used Gene Set Enrichment Analysis (GSEA) to identify gene sets that were differentially enriched. Network analysis was then applied to identify key drivers of pathways influenced by CPAP. Results: 18 subjects with severe OSA (apnea hypopnea index ≥ 30 events/hour) underwent CPAP therapy and microarray analysis of their PBLs. Treatment with CPAP improved AHI, daytime sleepiness and blood pressure but did not affect anthropometric measures. GSEA revealed a number of enriched gene sets, many of which were involved in neoplastic processes and displayed down-regulated expression patterns in response to CPAP. Network analysis identified several densely connected genes that are important modulators of cancer and tumor growth. Conclusions: Effective therapy of OSA with CPAP is associated with alterations in circulating leukocyte gene expression. Functional enrichment and network analyses highlighted transcriptional suppression in cancer-related pathways suggesting potentially novel mechanisms linking OSA with neoplastic signatures. Total RNA from peripheral blood leukocytes of 18 subjects with severe sleep apnea at baseline and after effective CPAP therapy was hybridized to 36 Affymetrix Genechip Human Gene 1.0 ST microarrays

2013-12-31 | E-GEOD-49800 | biostudies-arrayexpress

Subcutaneous fat transcriptome in obstructive sleep apnea and after treatment with CPAP

Project description:Obstructive sleep apnea (OSA) has been linked to dysregulated metabolic states and treatment of sleep apnea may improve these conditions. Subcutaneous adipose tissue is a readily samplable fat depot that plays an important role in regulating metabolism. However, neither the pathophysiologic consequences of OSA nor the effects of continuous positive airway pressure (CPAP) in altering this compartment’s molecular pathways are understood. This study aimed to systematically identify subcutaneous adipose tissue transcriptional programs modulated in OSA and in response to its effective treatment with CPAP. Two subject groups were investigated: Study Group 1 was comprised of 10 OSA and 8 controls; Study Group 2 included 24 individuals with OSA studied at baseline and following CPAP. For each subject, genome-wide gene expression measurement of subcutaneous fat was performed. Differentially activated pathways elicited by OSA (Group 1) and in response to its treatment (Group 2) were determined using network and Gene Set Enrichment Analysis (GSEA). In Group 2, treatment of OSA with CPAP improved apnea hypopnea index, daytime sleepiness, and blood pressure, but not anthropometric measures. In Group 1, GSEA revealed many up-regulated gene sets in OSA subjects, most of which were involved in immuno-inflammatory (e.g., interferon-γ signaling), transcription, and metabolic processes such as adipogenesis. Unexpectedly, CPAP therapy in Group 2 subjects was also associated with up-regulation of several immune pathways as well as cholesterol biosynthesis. Collectively, our findings demonstrate that OSA alters distinct inflammatory and metabolic programs in subcutaneous fat, but these transcriptional signatures are not reversed with short-term effective therapy.

2019-12-21 | GSE135917 | GEO

DNA methylation profiling in blood of OSA patients and controls

Project description:Obstructive sleep apnea (OSA) is associated with increased risk for cardiovascular morbidity and mortality. Epidemiological and animal models studies generate hypotheses for innovative strategies in OSA management by interfering intermediates mechanisms associated with cardiovascular complications. In this study, we interrogated DNA methylation profiles in 16 polysomnographically evaluated OSA patients (Apnea Hypopnea Index, AHI > 30) and 8 controls (AHI<5 events/h sleep). Blood samples were collected at initial visit (V1) and a year later (V2). OSA patients received Continuous Positive Air Pressure (CPAP) therapy with high adherence (> 4 hours/night). Control individuals did not receive CPAP therapy. Genomic DNA was treated with sodium bisulfite. Converted DNA was analyzed using Illumina’s Infinium Human Methylation 450 BeadChip assay. DNA methylation profiles enabled the prospective evaluation of inflammatory and epigenetics mechanism involved in cardiovascular complication of OSA patients compared with non OSA subjects, as well as the variation of epigenetic profiles in OSA patients after one year of high-adherence CPAP therapy.

2022-11-04 | GSE190164 | GEO

Microarray gene expression profiles of peripheral blood mononuclear cells (PBMC) in patients with obstructive sleep apnea and primary snoring

Project description:Therefore, we extended our investigation into OSA patients with long-term continuous positive airway pressure (CPAP) treatment, hypertension, or excessive daytime sleepiness (EDS) by analyzing whole-genome gene expression profiles of PBMC in three comparisons: (1) treatment-naÃ¯ve moderate to very severe OSA patients versus subjects with primary snoring; (2) moderate to very severe OSA patients with hypertension or EDS versus those without hypertension or EDS, respectively; (3) treatment-naÃ¯ve very severe OSA patients versus those receiving at least one year of adequate CPAP treatment. We analyzed whole-genome gene expression profiles of peripheral blood mononuclear cells from 48 patients with sleep-disordered breathing stratified into four groups: primary snoring (PS), moderate to severe OSA (MSO), very severe OSA (VSO), and very severe OSA patients with long-term continuous positive airway pressure (CPAP) treatment (VSOC).

2015-12-31 | E-GEOD-75097 | biostudies-arrayexpress

Microarray gene expression profiles of peripheral blood mononuclear cells (PBMC) in patients with obstructive sleep apnea and primary snoring

2015-12-31 | GSE75097 | GEO

Visceral fat trancriptome in obstructive sleep apnea

Project description:Rationale: Obstructive sleep apnea (OSA) has been associated with metabolic dysregulation and systemic inflammation. This may be due to pathophysiologic effects of OSA on visceral adipose tissue. We sought to assess the transcriptional consequences of OSA on adipocytes by utilizing pathway-focused analyses. Methods: Patients scheduled to undergo ventral hernia repair surgery were recruited to wear a portable home sleep monitor for two nights prior to surgery. Visceral fat biopsies were obtained intra-operatively. RNA was extracted and whole-genome expression profiling was performed. Gene Set Enrichment Analysis (GSEA) was used to identify curated gene sets that were differentially enriched in OSA subjects. Network analysis was applied to a select set of highly enriched pathways. Results: 10 patients with OSA and 8 control subjects were recruited. There were no differences in age, gender, body mass index between the two groups, but the OSA subjects had a significantly higher respiratory disturbance index (19.2 vs. 0.6, P-value 0.05) and worse hypoxemia (minimum oxygen saturation 79.7% vs. 87.8%, P-value < 0.001). GSEA identified a number of gene sets up-regulated in adipose tissue of OSA patients including the pro-inflammatory NF-M-NM-:B pathway and the proteolytic ubiquitin/proteasome module. A critical metabolic pathway, the peroxisome proliferator-activated receptor (PPAR), was down-regulated in subjects with OSA. Network analysis linked members of these modules together and identified regulatory hubs. Conclusions: OSA is associated with alterations in visceral fat gene expression. Pathway-based network analysis highlighted perturbations in several key pathways whose coordinated interactions may contribute to the metabolic dysregulation observed in this complex disorder. Total RNA from visceral fat of 18 subjects (10 OSA, 8 Control) was hybridized to 18 Affymetrix Genechip Human Gene 1.0 ST microarrays.

2012-09-01 | E-GEOD-38792 | biostudies-arrayexpress

Visceral fat trancriptome in obstructive sleep apnea

Project description:Rationale: Obstructive sleep apnea (OSA) has been associated with metabolic dysregulation and systemic inflammation. This may be due to pathophysiologic effects of OSA on visceral adipose tissue. We sought to assess the transcriptional consequences of OSA on adipocytes by utilizing pathway-focused analyses. Methods: Patients scheduled to undergo ventral hernia repair surgery were recruited to wear a portable home sleep monitor for two nights prior to surgery. Visceral fat biopsies were obtained intra-operatively. RNA was extracted and whole-genome expression profiling was performed. Gene Set Enrichment Analysis (GSEA) was used to identify curated gene sets that were differentially enriched in OSA subjects. Network analysis was applied to a select set of highly enriched pathways. Results: 10 patients with OSA and 8 control subjects were recruited. There were no differences in age, gender, body mass index between the two groups, but the OSA subjects had a significantly higher respiratory disturbance index (19.2 vs. 0.6, P-value 0.05) and worse hypoxemia (minimum oxygen saturation 79.7% vs. 87.8%, P-value < 0.001). GSEA identified a number of gene sets up-regulated in adipose tissue of OSA patients including the pro-inflammatory NF-κB pathway and the proteolytic ubiquitin/proteasome module. A critical metabolic pathway, the peroxisome proliferator-activated receptor (PPAR), was down-regulated in subjects with OSA. Network analysis linked members of these modules together and identified regulatory hubs. Conclusions: OSA is associated with alterations in visceral fat gene expression. Pathway-based network analysis highlighted perturbations in several key pathways whose coordinated interactions may contribute to the metabolic dysregulation observed in this complex disorder.

2012-09-01 | GSE38792 | GEO

Transcriptional survey of peripheral blood links lower oxygen saturation during sleep with reduced expressions of CD1D and RAB20 that is reversed by CPAP therapy

Project description:Sleep Disordered Breathing (SDB) is associated with a wide range of physiological changes, likely due in part to the influence of hypoxemia during sleep on gene expression. We studied gene expression in peripheral blood mononuclear cells in association with three measures of SDB: the Apnea Hypopnea Index (AHI); average oxyhemoglobin saturation (avgO2) during sleep; and minimum oxyhemoglobin saturation (minO2) during sleep. We performed discovery analysis in two community-based studies: the Multi-Ethnic Study of Atherosclerosis (MESA; N = 580) and the Framingham Offspring Study (FOS; N=571). Associations with false discovery rate (FDR) q-value<0.05 in one study were considered to have replicated if a p-value<0.05 was observed in the other study. Associations that replicated between cohorts, or with FDR q-value<0.05 in meta-analysis of the two studies, were carried forward for gene expression analysis in the blood of 15 participants from the Heart Biomarkers In Apnea Treatment (HeartBEAT) trial who had moderate or severe obstructive sleep apnea (OSA) and were studied before and after three months of treatment with continuous positive airway pressure (CPAP). We also performed Gene Set Enrichment Analysis based on all trait and cohort analyses. We identified 22 genes associated with SDB traits in both MESA and FHS. Of these, lower CD1D and RAB20 expressions were associated with lower avgO2 in MESA and FHS, and CPAP treatment increased their expression in HeartBEAT. Immunity and inflammation pathways were up-regulated in subjects with lower avgO2, i.e. in those with a more severe SDB phenotype (MESA), whereas immuno-inflammatory processes were down-regulated in response to CPAP treatment (HeartBEAT).

2020-06-16 | GSE133601 | GEO

Obstructive sleep apnea is related to alterations in intestinal microbiome and impaired intestinal barrier function

Project description:Objectives: Obstructive Sleep Apnea (OSA) is related to repeated upper airway collapse, intermittent hypoxia, and intestinal barrier dysfunction. The resulting damage to the intestinal barrier may affect or be affected by the intestinal microbiota. Methods: A prospective case-control was used, including 48 subjects from Sleep Medicine Center of Nanfang Hospital. Sleep apnea was diagnosed by overnight polysomnography. Fecal samples and blood samples were collected from subjects to detect intestinal microbiome composition (by 16S rDNA gene amplification and sequencing) and intestinal barrier biomarkers – intestinal fatty acid-binding protein (I-FABP) and D-lactic acid (D-LA) (by ELISA and colorimetry, respectively). Results: The severity of OSA was related to differences in the structure and composition of the intestinal microbiome. Enriched Fusobacterium, Megamonasa, Lachnospiraceae_UCG_006, and reduced Anaerostipes was found in patients with severe OSA. Enriched Ruminococcus_2, Lachnoclostridium, Lachnospiraceae_UCG_006, and Alloprevotella was found in patients with high intestinal barrier biomarkers. Lachnoclostridium and Lachnospiraceae_UCG_006 were the common dominant bacteria of OSA and intestinal barrier damage. Fusobacterium and Peptoclostridium was independently associated with apnea-hypopnea index (AHI). The dominant genera of severe OSA were also related to glucose, lipid, neutrophils, monocytes and BMI. Network analysis identified links between the intestinal microbiome, intestinal barrier biomarkers, and AHI. Conclusions: The study confirms that changes in the intestinal microbiota are related to intestinal barrier biomarkers among patients in OSA. These changes may play a pathophysiological role in the systemic inflammation and metabolic comorbidities associated with OSA, leading to multi-organ morbidity of OSA.

2023-08-30 | GSE181270 | GEO

Epigenome analysis of peripheral blood mononuclear cell (PBMC) samples from obstructive sleep apnea patients and healthy subjects

Project description:Genome wide DNA methylation profiling of obstructive sleep apnea (OSA) patients and healthy subjects. The Illumina Infinium 27k Human DNA methylation Beadchip v1.2 was used to obtain DNA methylation profiles across approximately 27,000 CpGs in peripheral blood mononuclear cell samples. Samples included 8 normal subjects and 16 patients with obstructive sleep apnea syndrome.

2015-12-31 | GSE61463 | GEO

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