Inhibition of SHIP2 in CD2AP-deficient podocytes ameliorates reactive oxygen species generation but aggravates apoptosis.
Pauliina SaurusTuomas A TolvanenSonja LindforsSara KuuselaHarry HolthöferEero LehtonenSanna H LehtonenPublished in: Scientific reports (2017)
Lack of CD2-associated protein (CD2AP) in mice increases podocyte apoptosis and leads to glomerulosclerosis and renal failure. We showed previously that SHIP2, a negative regulator of the PI3K/AKT signalling pathway, interacts with CD2AP. Here, we found that the expression level and activity of SHIP2 and production of reactive oxygen species (ROS) are increased in cultured CD2AP knockout (CD2AP-/-) mouse podocytes. Oxidative stress was also increased in CD2AP-/- mouse glomeruli in vivo. We found that puromycin aminonucleoside (PA), known to increase ROS production and apoptosis, increases SHIP2 activity and reduces CD2AP expression in cultured human podocytes. PDK1 and CDK2, central regulators of AKT, were downregulated in CD2AP-/- or PA-treated podocytes. Downregulation of PDK1 and CDK2, ROS generation and apoptosis were prevented by CD2AP overexpression in both models. Notably, inhibition of SHIP2 activity with a small molecule inhibitor AS1949490 ameliorated ROS production in CD2AP-/- podocytes, but, surprisingly, further reduced PDK1 expression and aggravated apoptosis. AKT- and ERK-mediated signalling was diminished and remained reduced after AS1949490 treatment in the absence of CD2AP. The data suggest that inhibition of the catalytic activity of SHIP2 is beneficial in reducing oxidative stress, but leads to deleterious increase in apoptosis in podocytes with reduced expression of CD2AP.
Keyphrases
- oxidative stress
- transcription factor
- reactive oxygen species
- cell death
- small molecule
- dna damage
- nk cells
- endoplasmic reticulum stress
- poor prognosis
- cell proliferation
- cell cycle arrest
- signaling pathway
- endothelial cells
- high glucose
- metabolic syndrome
- cell cycle
- adipose tissue
- artificial intelligence
- induced apoptosis
- machine learning
- insulin resistance
- electronic health record
- newly diagnosed