The Attenuation of Diabetic Nephropathy by Annexin A1 via Regulation of Lipid Metabolism Through the AMPK/PPARα/CPT1b Pathway.
Liang WuChangjie LiuDong-Yuan ChangRui ZhanMingming ZhaoSin Man LamGuang-Hou ShuiMing-Hui ZhaoLemin ZhengMin ChenPublished in: Diabetes (2021)
Inflammation and abnormal metabolism play important roles in the pathogenesis of diabetic nephropathy (DN). Annexin A1 (ANXA1) contributes to inflammation resolution and improves metabolism. In this study, we assess the effects of ANXA1 in diabetic mice and proximal tubular epithelial cells (PTECs) treated with high glucose plus palmitate acid (HGPA) and explore the association of ANXA1 with lipid accumulation in patients with DN. It is found that ANXA1 deletion aggravates renal injuries, including albuminuria, mesangial matrix expansion, and tubulointerstitial lesions in high-fat diet/streptozotocin-induced diabetic mice. ANXA1 deficiency promotes intrarenal lipid accumulation and drives mitochondrial alterations in kidneys. In addition, Ac2-26, an ANXA1 mimetic peptide, has a therapeutic effect against lipid toxicity in diabetic mice. In HGPA-treated human PTECs, ANXA1 silencing causes FPR2/ALX-driven deleterious effects, which suppress phosphorylated Thr172 AMPK, resulting in decreased peroxisome proliferator-activated receptor α and carnitine palmitoyltransferase 1b expression and increased HGPA-induced lipid accumulation, apoptosis, and elevated expression of proinflammatory and profibrotic genes. Last but not least, the extent of lipid accumulation correlates with renal function, and the level of tubulointerstitial ANXA1 expression correlates with ectopic lipid deposition in kidneys of patients with DN. These data demonstrate that ANXA1 regulates lipid metabolism of PTECs to ameliorate disease progression; hence, it holds great potential as a therapeutic target for DN.
Keyphrases
- diabetic nephropathy
- high glucose
- endothelial cells
- high fat diet
- oxidative stress
- diabetic rats
- poor prognosis
- insulin resistance
- adipose tissue
- binding protein
- type diabetes
- gene expression
- machine learning
- cell proliferation
- risk assessment
- artificial intelligence
- induced pluripotent stem cells
- single molecule
- smoking cessation
- transcription factor