Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Salivary Microbiome in Patients with Obstructive Sleep Apnea

PROVIDER: PRJNA767516 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR16132204_1.fastq.gz	Fastqsanger.gz
	SRR16132204_2.fastq.gz	Fastqsanger.gz
	SRR16132205_1.fastq.gz	Fastqsanger.gz
	SRR16132205_2.fastq.gz	Fastqsanger.gz
	SRR16132206_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 246

Similar Datasets

Project description:Analysis of salivary microbiome in Obstructive Sleep Apnea syndrome patients

| PRJNA544600 | ENA

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. Bisulphite converted DNA from the 21 samples were hybridized to the Illumina Infinium 27k Human Methylation Beadchip v1.2

2015-12-31 | E-GEOD-61463 | biostudies-arrayexpress

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

2015-12-31 | GSE61463 | 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

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

Comparison of microRNA expression profiles in soft palate muscle of patients with OSAHS and chronic tonsillitis.

Project description:The expression profile of miRNAs in soft palate muscle of patients with OSAHS (obstructive sleep apnea/hypopnea syndrome) and chronic tonsillitis was examined using miRNA microarray analysis. Combining with the following real time PCR and bioinformatics analysis, the physiological importance of the miRNA-autophagy interconnection is far more likely to be elucidated.

2019-09-25 | GSE99239 | GEO

Serum proteomic analysis by tandem mass tags-based quantitative proteomics in pediatric obstructive sleep apnea

Project description:Pediatric obstructive sleep apnea (OSA) is a frequent respiratory disorder with an estimated prevalence of 3–6% in the general population. However, the underlying pathophysiology of OSA remains unclear. Recently, proteomic analysis using high-resolution and high-throughput mass spectrometry has been widely used in the field of medical sciences. In the present study, tandem mass tags (TMT)-based proteomic analysis was performed in the serum of patients with OSA.

2022-05-20 | PXD032734 | Pride

Expression data from mouse aorta with chronic intermittent hypoxia exposure

Project description:Atherosclerosis is the pathological basis of cardiovascular disease. Obstructive sleep apnea aggravates atherosclerosis, and chronic intermittent hypoxia (CIH) as a prominent feature of obstructive sleep apnea plays an important role during the process of atherosclerosis. The mechanisms of CIH in the development of atherosclerosis remain unclear. The microarray was used to investigate differentially expressed mRNAs and long noncoding RNAs (lncRNAs) in aorta from five groups of ApoE-/- mice fed with a high-fat diet and exposed to various conditions: normoxia for 8 weeks, CIH for 8 weeks, normoxia for 12 weeks, CIH for 12 weeks, or CIH for 8 weeks followed by normoxia for 4 weeks.

2020-02-14 | GSE145221 | GEO

human metagenome

Project description:Nasal Microbiome from the Spanish Aragòn Obstructive Sleep Apnea Cohort

| PRJNA419003 | ENA

Homo sapiens

Project description:Visceral fat trancriptome in obstructive sleep apnea

| PRJNA168636 | ENA