Transcriptomics

Dataset Information

0

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


ABSTRACT: 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.

ORGANISM(S): Homo sapiens

PROVIDER: GSE135917 | GEO | 2019/12/21

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2013-12-31 | E-GEOD-49800 | biostudies-arrayexpress
2013-12-31 | GSE49800 | GEO
2022-11-04 | GSE190164 | GEO
| PRJNA560575 | ENA
2015-12-31 | E-GEOD-75097 | biostudies-arrayexpress
2020-06-16 | GSE133601 | GEO
2012-09-01 | E-GEOD-38792 | biostudies-arrayexpress
2012-09-01 | GSE38792 | GEO
2015-12-31 | E-GEOD-61463 | biostudies-arrayexpress
2022-05-20 | PXD032734 | Pride