Perlecan, a heparan sulfate proteoglycan, regulates systemic metabolism with dynamic changes in adipose tissue and skeletal muscle.
Yuri YamashitaSatoshi NakadaToshinori YoshiharaTakeshi NaraNorihiko FuruyaTakashi MiidaNobutaka HattoriEri Arikawa-HirasawaPublished in: Scientific reports (2018)
Perlecan (HSPG2), a heparan sulfate proteoglycan, is a component of basement membranes and participates in a variety of biological activities. Here, we show physiological roles of perlecan in both obesity and the onset of metabolic syndrome. The perinatal lethality-rescued perlecan knockout (Hspg2-/--Tg) mice showed a smaller mass and cell size of white adipose tissues than control (WT-Tg) mice. Abnormal lipid deposition, such as fatty liver, was not detected in the Hspg2-/--Tg mice, and those mice also consumed more fat as an energy source, likely due to their activated fatty acid oxidation. In addition, the Hspg2-/--Tg mice demonstrated increased insulin sensitivity. Molecular analysis revealed the significantly relatively increased amount of the muscle fiber type IIA (X) isoform and a larger quantity of mitochondria in the skeletal muscle of Hspg2-/--Tg mice. Furthermore, the perlecan-deficient skeletal muscle also had elevated levels of peroxisome proliferator-activated receptor gamma coactivator 1-alpha (PGC1α) protein. PGC1α expression is activated by exercise, and induces mitochondrial biosynthesis. Thus, perlecan may act as a mechano-regulator of catabolism of both lipids and glucose by shifting the muscle fiber composition to oxidative fibers. Our data suggest that downregulation of perlecan is a promising strategy to control metabolic syndrome.
Keyphrases
- skeletal muscle
- insulin resistance
- high fat diet induced
- metabolic syndrome
- adipose tissue
- fatty acid
- high fat diet
- type diabetes
- wild type
- weight loss
- pregnant women
- cell death
- poor prognosis
- signaling pathway
- oxidative stress
- physical activity
- transcription factor
- uric acid
- body composition
- hydrogen peroxide
- weight gain
- reactive oxygen species
- artificial intelligence
- data analysis
- resistance training
- cell proliferation