Adipose tissue inflammation by intermittent hypoxia: mechanistic link between obstructive sleep apnoea and metabolic dysfunction.
Silke RyanPublished in: The Journal of physiology (2017)
Obstructive sleep apnoea (OSA) is a highly prevalent condition and recognized as a major public health burden conveying a significant risk of cardiometabolic diseases and mortality. Type 2 diabetes (T2D), insulin resistance (IR) and glucose tolerance are common in subjects with OSA and this association is at least in part independent of the effects of obesity. Continuous positive airway pressure (CPAP) is the treatment of choice for the majority of patients with OSA but the benefit of CPAP on glycaemic health is uncertain. Thus, a greater understanding of the mechanisms by which OSA leads to metabolic dysfunction might identify novel therapeutic approaches. Intermittent hypoxia (IH), a hallmark feature of OSA, likely plays a key role in the pathogenesis and experimental studies using animal and in vitro models suggest that IH leads to pancreatic β-cell dysfunction and to insulin resistance in the insulin target organs liver, skeletal muscle and adipose tissue. In particular, IH induces a pro-inflammatory phenotype of the visceral adipose tissue with polarization of adipose tissue macrophages towards a M1-pro-inflammatory subtype, upregulation and secretion of numerous pro-inflammatory adipokines and subsequent impairment of the insulin-signalling pathway, changes which bear a striking similarity to adipose tissue dysfunction seen in obesity. In this review, the available evidence linking IH with metabolic dysfunction is explored with a special emphasis on the adipose tissue in this process.
Keyphrases
- physical activity
- positive airway pressure
- insulin resistance
- adipose tissue
- obstructive sleep apnea
- type diabetes
- sleep apnea
- high fat diet
- public health
- skeletal muscle
- oxidative stress
- high fat diet induced
- glycemic control
- polycystic ovary syndrome
- body mass index
- metabolic syndrome
- healthcare
- single cell
- endothelial cells
- stem cells
- cardiovascular disease
- machine learning
- cell proliferation
- risk assessment
- signaling pathway
- risk factors
- depressive symptoms
- bone marrow
- weight gain