Extended Data Fig. 8: Regulation of ATGL-driven lipolysis and fatty liver development via manipulating Golgi PtdIns4P- CUL7FBXW8-ATGL axis.
From: Glucose controls lipolysis through Golgi PtdIns4P-mediated regulation of ATGL
(a) Quantification of Atgl transcript levels in the liver from hepatocyte specific Pi4kb knockout mice (n = 8 mice per group). (b) Quantification of Atgl transcript in the liver from hepatocyte specific Cul7 and Fbxw8 knockout mice (n = 6 mice per group). (c) Body weight of hepatocyte specific Pi4kb knockout mice fed in NCD 4 weeks after AAV8 administration (n = 10 mice per group). (d) Body weight of hepatocyte specific Pi4kb knockout mice fed in HFD 8 weeks after AAV8 administration (n = 5 mice per group). (e) Body weight of hepatocyte specific Cul7 and Fbxw8 knockout mice fed in NCD 4 weeks after AAV8 administration (n = 11 mice per group). (f) Body weight of hepatocyte specific Cul7 and Fbxw8 knockout mice fed in HFD 12 weeks after AAV8 administration (n = 9 mice per group). (g) Body weight gain during the period of UCB9608 treatment (n = 10 mice per group). (h–k) Immunoblot of ATGL protein in the adipose depots and liver from DMSO- and UCB9608-treated mice (n = 12 mice per group). (l) Quantification of Atgl transcript levels in the adipose depots and liver from DMSO- and UCB9608-treated mice via qPCR (n = 12 mice per group). (m–p) Energy expenditure, Respiratory Exchange Ratio (RER), Food intake and Locomotor activity measurement of wild-type mice after 3 weeks administration of UCB9608 via HFD (n = 6 mice per group). (q) Hepatic TG levels in DMSO- and UCB9608-treated wild-type (WT) and liver specific Atgl knockout (AtglLKO) mice (n = 6 mice per group). Results are shown as mean ± s.e.m. (except d, f and g shown as mean ± s.d.) and analyzed using two-tailed unpaired t-test (a, c, d, g (4 and 6 weeks), h to l, and q), two-tailed Mann-Whitney test (g (8 weeks)), ANCOVA (m), one-way ANOVA method with Dunnett correction for multiple comparisons between control and other groups (b, e and f) and two-way ANOVA method (n-p). Source numerical data and unprocessed blots are available in source data.
