Browse
Submit Data
Databases
API
Help

Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

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

ABSTRACT: 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).

ORGANISM(S): Homo sapiens

SUBMITTER: yungche chen

PROVIDER: E-GEOD-75097 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Similar Datasets

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-naïve 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-naïve very severe OSA patients versus those receiving at least one year of adequate CPAP treatment.

2015-12-31 | GSE75097 | GEO

Rat atria-2D LC-MS/MS - Atrial electrophysiological and molecular remodelling induced by obstructive sleep apnoea

Project description:To understand the molecular change occurring in the atria during obstructive sleep apnea, we have implemented a rat model of OSA involving the surgical implantation of a tracheal obstructive device, allowing the rats to remain conscious and free-roaming throughout 2 weeks of apnea administration. Rats were divided into severe and moderate apnea groups, receiving a 23 second or 13 second apneas per minute, respectively. The two-dimensional polyacrylamide gel electrophoresis (2D PAGE) of atrial homogenates to compare the dysregulations in the protein pattern in severe and moderate apnea when compared to control.

2019-02-21 | PXD011181 | Pride

Ixekizumab treatment of patients with moderate-to-severe plaque psoriasis.

Project description:Ixekizumab treatment of patients with moderate-to-severe plaque psoriasis.

| PRJNA737931 | ENA

Guselkumab reduces disease- and mechanism-related biomarkers more than adalimumab in patients with psoriasis: a VOYAGE 1 substudy

Project description:In the phase 3 VOYAGE-1 trial (ClinicalTrials.gov identifier: NCT02207231), guselkumab demonstrated superior efficacy versus placebo and the tumor necrosis factor (TNF)-α antagonist, adalimumab, in patients with moderate-to-severe plaque psoriasis (Blauvelt et al., 2017). Here, skin samples were collected from patients in VOYAGE-1 and pharmacodynamic (PD) responses to guselkumab (vs adalimumab) treatment were assessed over 48 weeks.

2024-07-31 | GSE252029 | GEO

Mass-spectrometry based plasma proteomics identifies biomarkers for the detection of COVID-19 progression

Project description:COVID-19 manifests itself in an array of symptoms. While most patients experience very mild-to-moderate symptoms, around one in five patients develop pneumonia coupled with severe respiratory distress. These patients require treatment in the intensive care units (ICU), however, most of the times, it leads to multi-organ dysfunction and death. Mass spectrometry based proteomics can help us to identify the precise pathophysiological pathways that get perturbed during the course of the disease. Our study involved a comprehensive proteome-wide investigation of COVID negative (n=20), non-severe (n= 18) and severe (n= 36) COVID-19 patients plasma samples. We categorized patients into severe and non-severe groups and conducted LFQ based discovery proteomics for unraveling differentially expressed proteins followed by pathway enrichment studies and validation of targets by targeted studies on a batch of longitudinal samples.

2021-04-01 | PXD022296 | Pride

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

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

Guselkumab (interleukin-23-specific monoclonal antibody) demonstrates clinical and molecular response in moderate-to-severe psoriasis

Project description:A gene expression profiling study was conducted in which skin biopsy samples were collected for RNA extraction and hybridization to microarrays from patients with moderate-to-severe psoriasis who participated in the phase 1, guselkumab first-in-human randomized, double-blind, placebo-controlled trial. At week 12, significant reductions in psoriasis gene expression were observed in guselkumab-treated patients. Skin biopsy samples (n=59, LS: lesion, NL: non-lesion) were collected at baseline, weeks 1 and 12 following guselkumab treatment from patients with moderate-to-severe psoriasis for RNA extraction and microarray analysis.

2014-05-14 | E-GEOD-51440 | biostudies-arrayexpress

Personalized medicine in psoriasis: developing a genomic classifier to predict histological response to Alefacept

Project description:Alefacept treatment is highly effective in a select group patients with moderate-to-severe psoriasis, and is an ideal candidate to develop systems to predict who will respond to therapy. A clinical trial of 22 patients with moderate to severe psoriasis treated with alefacept (7.5mg weekly i.v. x12 weeks) was conducted in 2002-2003, as a mechanism of action study. Patients were classified as responders or non-responders to alefacept based on histological criteria. Microarray data from PBMCs of 16 of these patients was analyzed to generate a treatment response classifier. We used a discriminant analysis method that performs sample classification from gene expression data, via nearest shrunken centroid method''. A disease response classifier using 23 genes was created to accurately predict response to alefacept (12.3% error rate in favour of responders). This preliminary study may provide a useful tool to predict response of psoriatic patients with alefacept. Keywords: class prediction Microarray data from 16 patients was analyzed to generate a treatment response classifier. We used a discriminant analysis method that performs sample classification from gene expression data, via nearest shrunken centroid method.

2010-10-02 | E-GEOD-18948 | biostudies-arrayexpress

Genome-wide DNA methylation analysis of peripheral blood samples of moderate-to-severe psoriasis patients treated with anti-TNF drugs

Project description:Genome wide DNA methylation profiling of peripheral blood samples of moderate-to-severe psoriasis patients treated with anti-TNF drugs. Patients were distributed on Excellent Responders (ER) if they achieved PASI90 (a 90% reduction with respect to baseline PASI) at 3 and 6 months of treatment with anti-TNF drugs and Partial responders if they did not achieve a PASI75 (a 75% reduction with respect to baseline PASI) at 3 and 6 months of treatment. The Illumina Infinium 450k Human DNA methylation Beadchip v1.2 was used to obtain DNA methylation profiles across approximately 485,000 CpGs in 49 ER and 21 PR which were obtained from peripheral blood samples of anti-TNF drug treated patients. We have searched for pharmaoepigenetic biomarkers of anti-TNF response in moderate-to-severe psoriasis patients.

2020-05-28 | GSE151278 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data