Dapagliflozin Restores Impaired Autophagy and Suppresses Inflammation in High Glucose-Treated HK-2 Cells.
Jing XuMunehiro KitadaYoshio OguraHaijie LiuDaisuke KoyaPublished in: Cells (2021)
Sodium-glucose cotransporter2 (SGLT2) inhibitors have a reno-protective effect in diabetic kidney disease. However, the detailed mechanism remains unclear. In this study, human proximal tubular cells (HK-2) were cultured in 5 mM glucose and 25 mM mannitol (control), 30 mM glucose (high glucose: HG), or HG and SGLT2 inhibitor, dapagliflozin-containing medium for 48 h. The autophagic flux was decreased, accompanied by the increased phosphorylation of S6 kinase ribosomal protein (p-S6RP) and the reduced phosphorylation of AMP-activated kinase (p-AMPK) expression in a HG condition. Compared to those of the control, dapagliflozin and SGLT2 knockdown ameliorated the HG-induced alterations of p-S6RP, p-AMPK, and autophagic flux. In addition, HG increased the nuclear translocation of nuclear factor-κB p65 (NF-κB) p65 and the cytoplasmic nucleotide-binding oligomerization domain-like receptor 3 (NLRP3), mature interleukin-1β (IL-1β), IL-6, and tumor necrosis factorα (TNFα) expression. Dapagliflozin, SGLT2 knockdown, and NF-κB p65 knockdown reduced the extent of these HG-induced inflammatory alterations. The inhibitory effect of dapagliflozin on the increase in the HG-induced nuclear translocation of NF-κB p65 was abrogated by knocking down AMPK. These data indicated that in diabetic renal proximal tubular cells, dapagliflozin ameliorates: (1) HG-induced autophagic flux reduction, via increased AMPK activity and mTOR suppression; and (2) inflammatory alterations due to NF-κB pathway suppression.
Keyphrases
- high glucose
- endothelial cells
- nuclear factor
- signaling pathway
- induced apoptosis
- protein kinase
- oxidative stress
- fluorescent probe
- cell death
- cell cycle arrest
- pi k akt
- aqueous solution
- lps induced
- living cells
- type diabetes
- skeletal muscle
- diabetic rats
- toll like receptor
- poor prognosis
- endoplasmic reticulum stress
- metabolic syndrome
- binding protein
- long non coding rna
- blood glucose
- tyrosine kinase
- newly diagnosed
- machine learning
- protein protein
- inflammatory response
- small molecule
- big data
- deep learning
- transcription factor
- adipose tissue
- pluripotent stem cells