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Hepatocyte-specific suppression of ANGPTL4 improves obesity-associated diabetes and mitigates atherosclerosis in mice
Abhishek K. Singh, … , Yajaira Suárez, Carlos Fernández-Hernando
Abhishek K. Singh, … , Yajaira Suárez, Carlos Fernández-Hernando
Published July 13, 2021
Citation Information: J Clin Invest. 2021;131(17):e140989. https://doi.org/10.1172/JCI140989.
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Research Article Hepatology Metabolism

Hepatocyte-specific suppression of ANGPTL4 improves obesity-associated diabetes and mitigates atherosclerosis in mice

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Abstract

Hepatic uptake and biosynthesis of fatty acids (FAs), as well as the partitioning of FAs into oxidative, storage, and secretory pathways, are tightly regulated processes. Dysregulation of one or more of these processes can promote excess hepatic lipid accumulation, ultimately leading to systemic metabolic dysfunction. Angiopoietin-like-4 (ANGPTL4) is a secretory protein that inhibits lipoprotein lipase (LPL) and modulates triacylglycerol (TAG) homeostasis. To understand the role of ANGPTL4 in liver lipid metabolism under normal and high-fat–fed conditions, we generated hepatocyte-specific Angptl4 mutant mice (Hmut). Using metabolic turnover studies, we demonstrate that hepatic Angptl4 deficiency facilitates catabolism of TAG-rich lipoprotein (TRL) remnants in the liver via increased hepatic lipase (HL) activity, which results in a significant reduction in circulating TAG and cholesterol levels. Consequently, depletion of hepatocyte Angptl4 protects against diet-induced obesity, glucose intolerance, liver steatosis, and atherogenesis. Mechanistically, we demonstrate that loss of Angptl4 in hepatocytes promotes FA uptake, which results in increased FA oxidation, ROS production, and AMPK activation. Finally, we demonstrate the utility of a targeted pharmacologic therapy that specifically inhibits Angptl4 gene expression in the liver and protects against diet-induced obesity, dyslipidemia, glucose intolerance, and liver damage, which likely occur via increased HL activity. Notably, this inhibition strategy does not cause any of the deleterious effects previously observed with neutralizing antibodies.

Authors

Abhishek K. Singh, Balkrishna Chaube, Xinbo Zhang, Jonathan Sun, Kathryn M. Citrin, Alberto Canfrán-Duque, Binod Aryal, Noemi Rotllan, Luis Varela, Richard G. Lee, Tamas L. Horvath, Nathan L. Price, Yajaira Suárez, Carlos Fernández-Hernando

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Figure 7

Inhibition of ROS and AMPK in HepG2 cells abrogates effect of ANGPTL4 in lipid metabolism.

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Inhibition of ROS and AMPK in HepG2 cells abrogates effect of ANGPTL4 in...
(A and B) HepG2 cells were stably transfected with 3 different shRNAs against ANGPTL4 and HL expression transiently suppressed transfecting cells with specific siRNAs. HepG2–shC or HepG2-shAngptl4 cells transfected with HL or nonsilencing (NS) siRNAs were treated with radiolabeled chylomicron for 2 hours. Graph shows lipid uptake as a fold change of control (shC). (C) Representative immunoblot images showing the levels of p-AMPK, AMPK, and HSP90 in HepG2-shC and HepG2-sh shAngptl4 cells transfected with HL or nonsilencing (NS) siRNAs grown under conditions similar to those mentioned in B. (D) Relative ROS levels in HepG2-shC and HepG2-shNAGPTL4 cells treated with either DMSO or Etomoxir (40 μM) for 12 hours. (E) Relative ROS generation in cells used in B and C. (F) Representative immunoblot images showing the levels of p-AMPK, AMPK, p-ACC, ACC, and HSP90 in HepG2-shC and HepG2-shNAGPTL4 cells treated with or without CompC (20 μM) or NAC (5 mM) for 24 hours. (G) Relative ROS levels in HepG2-shC and HepG2-shNAGPTL4 cells treated with or without NAC (5 mM) for 24 hours. (H) FAO in cells under condition described in F. All data are represented as mean ± SEM. *P < 0.05, HepG2-shANGPTL4 vs. HepG2-shC; **P < 0.01, HepG2-shANGPTL4 vs. HepG2-shC; ***P < 0.001, HepG2-shANGPTL4 vs. HepG2-shC; $P < 0.05, HepG2-shANGPTL4–vehicle Ctrl versus HepG2-shANGPTL4 -NAC; $$P < 0.01, HepG2-shANGPTL4–vehicle Ctrl versus HepG2-shANGPTL4 -NAC; #P < 0.05, HepG2-shANGPTL4 –vehicle Ctrl versus HepG2-shANGPTL4-CompC. P values were determined by 2-way ANOVA followed by Bonferroni’s post hoc analysis.

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