Multinucleated Giant Cells in Adipose Tissue Are Specialized in Adipocyte Degradation.
Julia BrauneAndreas LindhorstJanine FröbaConstance HobuschPeter KovacsMatthias BlüherJens EilersIngo BechmannMartin GerickePublished in: Diabetes (2020)
Obesity is associated with chronic low-grade inflammation of visceral adipose tissue (AT) characterized by an increasing number of AT macrophages (ATMs) and linked to type 2 diabetes. AT inflammation is histologically indicated by the formation of so-called crown-like structures, as ATMs accumulate around dying adipocytes, and the occurrence of multinucleated giant cells (MGCs). However, to date, the function of MGCs in obesity is unknown. Therefore, the aim of this study was to characterize MGCs in AT and unravel the function of these cells. We demonstrated that MGCs occurred in obese patients and after 24 weeks of a high-fat diet in mice, accompanying signs of AT inflammation and then representing ∼3% of ATMs in mice. Mechanistically, we found evidence that adipocyte death triggered MGC formation. Most importantly, MGCs in obese AT had a higher capacity to phagocytize oversized particles, such as adipocytes, as shown by live imaging of AT, 45-µm bead uptake ex vivo, and higher lipid content in vivo. Finally, we showed that interleukin-4 treatment was sufficient to increase the number of MGCs in AT, whereas other factors may be more important for endogenous MGC formation in vivo. Most importantly, our data suggest that MGCs are specialized for clearance of dead adipocytes in obesity.
Keyphrases
- adipose tissue
- insulin resistance
- high fat diet induced
- high fat diet
- type diabetes
- induced apoptosis
- metabolic syndrome
- obese patients
- low grade
- oxidative stress
- cell cycle arrest
- weight loss
- palliative care
- skeletal muscle
- bariatric surgery
- glycemic control
- cardiovascular disease
- weight gain
- high resolution
- gastric bypass
- endoplasmic reticulum stress
- electronic health record
- body mass index
- roux en y gastric bypass
- cell proliferation
- physical activity
- deep learning
- replacement therapy