Title |
Intermittent hypoxia activates temporally coordinated transcriptional programs in visceral adipose tissue
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Published in |
Journal of Molecular Medicine, November 2011
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DOI | 10.1007/s00109-011-0830-7 |
Pubmed ID | |
Authors |
Sina A. Gharib, Abdelnaby Khalyfa, Amal Abdelkarim, Vijay Ramesh, Mohamed Buazza, Navita Kaushal, Bharat Bhushan, David Gozal |
Abstract |
Obstructive sleep apnea (OSA) is a prevalent disorder characterized by intermittent hypoxia (IH) during sleep. OSA is strongly associated with obesity and dysregulation of metabolism-yet the molecular pathways linking the effects of IH on adipocyte biology remain unknown. We hypothesized that exposure to IH would activate distinct, time-dependent transcriptional programs in visceral adipose tissue of mice. We exposed 36 mice to IH or normoxia for up to 13 days. We transcriptionally profiled visceral fat tissue harvested from the animals and performed functional enrichment and network analysis on differentially expressed genes. We identified over 3,000 genes with significant expression patterns during the time course of IH exposure. The most enriched pathways mapped to metabolic processes, mitochondrion, and oxidative stress responses. We confirmed the pathophysiological relevance of these findings by demonstrating that mice exposed to chronic IH developed dyslipidemia and underwent significant lipid and protein oxidation within their visceral adipose depots. We applied gene-gene interaction network analysis to identify critical controllers of IH-induced transcriptional programs in adipocytes-these network hubs represent putative targets to modulate the effects of chronic IH on adipose tissue. Our approach to integrate computational methods with gene expression profiling of visceral fat tissue during IH exposure shows promise in helping unravel the mechanistic links between OSA and adipocyte biology. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United States | 1 | 3% |
Unknown | 36 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 7 | 19% |
Researcher | 7 | 19% |
Student > Ph. D. Student | 5 | 14% |
Professor > Associate Professor | 4 | 11% |
Student > Master | 3 | 8% |
Other | 5 | 14% |
Unknown | 6 | 16% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 10 | 27% |
Agricultural and Biological Sciences | 7 | 19% |
Biochemistry, Genetics and Molecular Biology | 3 | 8% |
Neuroscience | 2 | 5% |
Materials Science | 2 | 5% |
Other | 6 | 16% |
Unknown | 7 | 19% |