Notch1 deficiency decreases hepatic lipid accumulation by induction of fatty acid oxidation

<jats:title>Abstract</jats:title><jats:p>Notch signaling pathways modulate various cellular processes, including cell proliferation, differentiation, adhesion and communication. Recent studies have demonstrated that Notch1 signaling also regulates hepatic glucose production and lipid synthesis. However, the effect of Notch1 signaling on hepatic lipid oxidation has not yet been directly investigated. To define the function of Notch1 signaling in hepatic lipid metabolism, wild type mice and Notch1 deficient antisense transgenic (NAS) mice were fed a high-fat diet. High-fat diet -fed NAS mice exhibited a marked reduction in hepatic triacylglycerol accumulation compared with wild type obese mice. The improved fatty liver was associated with an increased expression of hepatic genes involved in fatty acid oxidation. However, lipogenic genes were not differentially expressed in the NAS liver, suggesting lipolytic-specific regulatory effects by Notch1 signaling. Expression of fatty acid oxidative genes and the rate of fatty acid oxidation were also increased by inhibition of Notch1 signaling in HepG2 cells. In addition, similar regulatory effects on lipid accumulation were observed in adipocytes. Taken together, these data show that inhibition of Notch1 signaling can regulate the expression of fatty acid oxidation genes and may provide therapeutic strategies in obesity-induced hepatic steatosis.</jats:p>

section_content: glucose 6-phosphatase (G6p) expression in the liver 14. Forced expression of NICD1 in the liver increases fatty acid synthase (Fas) expression and induces hepatosteatosis, whereas NICD1 increases intestinal lipid accumulation by inducing RPL29 and Abhd1 expression 14, 15. In addition, recent studies have also shown that inhibition of Notch1 signaling in the liver decreases mTorc1 stability, resulting in decreased lipogenesis and protection from diet-induced fatty liver 13. These results indicate that Notch1 plays a significant role in glucose and lipid metabolism. 

In the present study, Notch1-deficient Notch1 antisense (NAS) mice were fed a high-fat diet to determine the effect of Notch1 signaling on hepatic lipid accumulation and expression of lipogenic and oxidative genes. Our data show that inhibition of Notch1 signaling suppresses diet induced hepatic lipid accumulation, likely through increased fatty acid oxidation. These data further suggest the diverse but conserved biological actions of Notch1 signaling in metabolism.

section_content: Notch1 expression is increased in obese and diabetic fatty livers. To examine the tissue expression pattern of Notch1 in mice, real-time PCR was performed. Notch1 expression was highest in the brain, with surprisingly similar expression levels in adipose tissues, and modest expression in the lung and liver (Fig. 1A ). Other tissues also expressed Notch1, although their levels were lower than those of white adipose tissue and brain. Consistent with previous data 14, 16, the strong expression profiles of Notch1 in fat tissues and liver indicate that Notch1 may play a significant role in glucose and lipid metabolism. To investigate the potential roles of Notch1 in metabolism, Notch1 expression was measured in high-fat diet-fed obese and diabetic mice. Notch1 protein and mRNA expression were greatly elevated in the livers of obese mice (Fig. 1B-D ). A similar expression pattern was detected in the white adipose tissue of obese and diabetic mice (Fig. 1E ), suggesting a positive correlation between the expression of Notch1 and lipid accumulation and metabolic diseases. 

Inhibition of Notch1 signaling prevents insulin resistance in diet-induced obese mice. Earlier studies have shown that Notch1 inhibition can improve insulin sensitivity 13, 14. Therefore, the effects of Notch inhibition in diet-induced obese mice were investigated in the present study. Mice overexpressing Notch1 antisense (NAS) under the control of a mouse mammary tumor virus long terminal repeat promoter were generated and backcrossed to C57BL/6 mice and characterized as described previously 17. NAS mice with defects in Notch1 expression and downstream signaling have been previously verified by several groups 12, 18. NAS and wild type C57BL/6 mice (C57) were fed a high-fat diet (HFD) and a normal chow control diet (ND) for 12 weeks. The inhibition of Notch1 expression in the liver of NAS mice was confirmed by Western blotting (Fig. 2A ). Body weight was not consistently different between the NAS and control mice (Fig. S1A ). Glucose tolerance (GTT) and insulin tolerance tests (ITT) confirmed that the insulin sensitivity was significantly (p < 0. 05) improved in NAS mice (Fig. 2B, C ). Histological analysis of livers showed less lipid accumulation in the HFD-fed NAS mice compared with the control mice (Fig. 2D ). Lower serum triacylglycerol levels in NAS mice fed a HFD further suggest that Notch1 inhibition prevents hepatic steatosis (Fig. 2E ). Consistently, elevated levels of free fatty acids in the high-fat diet-fed control mice were significantly (p < 0. 05) reduced in NAS mice (Fig. S2 ). Plasma insulin levels and food intake were not significantly (p > 0. 05) different between the two groups. However, the plasma glucagon level was significantly (p < 0. 05) decreased in NAS mice (Fig. S1 ). 

To further verify the effect of Notch1 inhibition on insulin sensitivity, HepG2 cells were induced to an insulin-resistant state by treatment with oleic acid, and subsequently treated with the inhibitor of γ -secretase (an enzyme that activates Notch signaling) N-[N-(3. 5-difluorophenacetyl)-L-alanyl]-S-phenylglycine t-butylester (DAPT) or dibenzazepine (DBZ). Inhibitory effects of DAPT and DBZ on Notch1 signaling were confirmed in HepG2 cells (Fig. S3 ). Insulin treatment under resistant conditions resulted in significantly (p < 0. 05) lower levels of phosphorylated AKT1 and IRS-1 compared with the levels of phosphorylated AKT1 and IRS-1 under normal conditions. Treatment with these inhibitors increased AKT and IRS-1 phosphorylation levels similar to those seen in insulin sensitive states, even under insulin-resistant conditions (Fig. 2F ).
section_name: Results

section_content: The improved fatty liver in diet-induced obese NAS mice could be directly attributed to decreased lipogenesis and/ or increased oxidation. To differentiate between these possibilities, lipogenic and lipolytic genes were measured by real-time PCR. The expression of peroxisome proliferator-activated receptor alpha (Pparα), carnitine palmitoyltransferase 1a (Cpt1a), acyl coenzyme A synthetase 1 (Acsl1), acyl coenzyme A oxidase 1 (Aox1), acyl coenzyme A thioesterase 1 (Acot1), and uncoupling protein 2 (Ucp2) were significantly (p < 0. 05) induced in the NAS liver compared with the control (Fig. 3A ). In contrast, lipogenic genes including sterol regulatory element-binding protein-1c (Srebp-1c), fatty acid synthase (Fas), acetyl coenzyme A carboxylase (Acc), peroxisome proliferator-activated receptor gamma (Pparγ), and fatty acid binding protein 4 (aP2) were not differentially expressed between NAS and control mice (Fig. 3B, C ). Acc protein levels were also similar between the NAS and control mice (Fig. S4 ). Previous studies have shown that Notch1 inhibition can impair gluconeogenesis by suppressing glucose 6-phosphatase (G6p) expression 14. Consistent with this finding, we also detected reduced expression of G6p in the ND-fed group, but no reduction in phosphoenolpyruvate carboxykinase (Pepck) or pyruvate carboxylase (Pc) mRNA expression (Fig. 3C ). These data suggest the possibility that increased fatty acid oxidation may be responsible for the reduced hepatic lipid accumulation in NAS mice. Thus, our findings highlight potential novel involvement of Notch1 signaling in the regulation of hepatic fatty acid oxidative genes.
section_name: Inhibition of Notch1 signaling induces hepatic oxidative genes in diet-induced fatty liver.

section_content: HepG2 cells. The reduced hepatic fatty acid accumulation in NAS mice suggests that Notch1 signaling can act in a cell-autonomous manner. To directly test the hypothesis that Notch1 signaling may affect the expression of genes involved in hepatic fatty acid oxidation, the human liver cancer cells, HepG2, were treated with DAPT. In agreement with our observation in NAS mice, DAPT treatment induced the expression of fatty acid oxidative genes such as CPT1A and ACSL1 in a dose-dependent manner. However, G6p expression was suppressed by DAPT, and lipogenic genes (FAS, ACC, SREBP-1c) were not differentially expressed (Fig. 4A ). To directly test the effect of Notch1 inhibition on fatty acid oxidation, HepG2 cells were treated with DAPT and fatty acid oxidation was measured using [ 14 C] palmitate. Comparable to the effects of treatment with the PPARα agonist GW7647, Notch1 inhibition also increased the rate of fatty acid oxidation (Fig. 4B ). 

Notch1 receptors are activated upon binding ligands, leading to γ -secretase-dependent generation of NICD1 followed by translocation to the nucleus and transcription of target genes 10, 13, 19. To further verify the regulation of Notch1 on oxidative genes, the activated form of Notch1, NICD1, was transiently expressed in HepG2 cells. Consistent with our data, the activation of Notch1 signaling suppressed the expression of oxidative genes (Fig. 5 ). Together, these data show cell-autonomous effects of Notch1 signaling in hepatic lipid metabolism.
section_name: Pharmacological and genetic inhibition of Notch1 signaling increases fatty acid oxidation in

section_content: To further explore the roles of Notch1 signaling in lipid accumulation, epididymal fat tissue was isolated from control and NAS mice, and lipolytic genes were subjected to real-time PCR analysis. The expression levels of Pparα and Cpt1a were increased in the white fat tissues of NAS mice (Fig. S5 ). The expression levels of other oxidative genes, Acsl1 and Ucp2, also showed a tendency to be increased in adipose tissues of NAS mice. To investigate the role of Notch1 in lipid accumulation in adipocytes, preadipocyte 3T3-L1 cells and mesenchymal C3H10T1/2 cells were used. To mimic Notch activation, C3H10T1/2 cells were infected with the NICD1-expressing retroviral plasmid pBabe-NICD or empty virus harboring control pBabe-Puro, and expression of oxidative genes was measured. The expression levels of the oxidative genes Acot1, Acsl1, Ucp2, Aox1, and Pparα were repressed by NICD1 expression in 3T3-L1 cells (Fig. S6 ). Interestingly, G6p expression was not repressed in preadipocytes, suggesting liver-specific regulation of G6p expression by Notch signaling. In parallel studies, NICD1 expression in C3H10T1/2 cells also exhibited similar effects on these oxidation genes (Fig. S6 ). 

To examine the influence of NICD1 on lipid accumulation in adipocytes, NICD1-expressing and control cells were differentiated into adipocytes, and lipid accumulation was evaluated. Gain of function studies exhibited enhanced lipid accumulation with increased expression of adipocyte markers in both C3H10T1/2 and 3T3-L1 cells (Fig. S7 ). The effects of Notch activation were also investigated in fully-differentiated C3H10T1/2 adipocytes. Consistently, forced expression of NICD1 in mature adipocytes also suppressed the expression of oxidative genes (Fig. S8 ). To test the effect of Notch1 suppression on lipid accumulation, C3H10T1/2 cells expressing scrambled or Notch1 siRNAs were differentiated into adipocytes to induce lipid accumulation. Suppression of Notch1 expression decreased lipid accumulation as assessed by Oil red O staining (Fig. 6A, D ). Consistent with previous reports 20, 21, cells transfected with two independent siRNAs were compared with scrambled siRNA-transfected cells and shown to successfully reduce Notch1 mRNA and protein expression (Fig. 6B, C ). Furthermore, Notch1 knockdown suppressed the expression of Pparγ and its downstream target genes aP2 and Cd36 (Fig. 6E ). To further examine the roles of Notch1 signaling in fully differentiated adipocytes, Notch1 was blocked in mature adipocytes and the effects on lipid accumulation were assessed. Notch1 silencing in the differentiated C3H10T1/2 adipocytes suppressed the expression of Pparγ and aP2 (Fig. 6F ). Furthermore, DAPT treatment in differentiated adipocytes consistently decreased lipid accumulation and expression of Pparγ (Fig. 6G, H ). Taken together, these data further corroborate the conserved role of Notch1 in lipid metabolism of hepatocytes and adipocytes.
section_name: Gain and loss of Notch1 function affects lipid accumulation in adipocytes.

section_content: Hepatic steatosis, the most common form of liver disease, is characterized by high levels of triacylglycerol 22. The regulatory mechanism of hepatic lipid catabolism is clearly an integral part of hepatic steatosis 23. Lipid oxidation is controlled by various factors including PPARα and mitochondrial enzymes 24. In contrast, lipogenesis is catalyzed by SREBP-1c through the activation of FAS or ACC, and by PXR through PPARγ, CPT1, and SCD1 23, 25, 26. Other regulators such as CAR, LXR, and FXR have also been shown to regulate lipogenesis and beta-oxidation 27. Thus, better understanding of the anabolic and catabolic pathways involved in lipid metabolism may provide another avenue for the intervention of liver disease. 

Notch signaling is an evolutionarily conserved pathway that regulates various cell characteristics including cell differentiation and cell fate decision 10. In the present study, we show that high-fat diet-induced hepatic lipid accumulation was prevented in Notch1-deficient mice. These effects were associated with the induction of oxidative genes without clear effects on the expression of lipogenic genes. Furthermore, the regulation of oxidative genes by Notch1 signaling was consistently observed in adipose tissues. Gain of function reduced the expression of lipolytic genes and lipid accumulation in adipocytes. These results indicate that Notch1 signaling plays a conserved role in lipid metabolism through actions on the expression of oxidative genes. 

Pajvani et al., demonstrated that Notch inhibition in combination with Foxo deletion can suppress G6P expression, resulting in lower glucose levels 14. In agreement, G6P induction was also detected in the regular chow diet-fed NAS mice. Pepck, Pc, and other critical genes in gluconeogenesis were not affected in livers from NAS mice or in Foxo and Notch1 haploinsufficient mice 14. Thus, it is likely that lowered fasting glucose levels with increased insulin sensitivity may be attributed to the reduced expression of G6P. Whole body deficiency of G6P is characterized by hypoglycemia, hyperlipidemia, and hepatic disorder 28, 29. However, mice with liver-specific deletion of G6P exhibit normoglycemia in the fed state 30. Thus, it seems questionable that G6pc alone in the liver is sufficient to lower glucose levels. Improvement of insulin sensitivity in Notch1-deficient mice could be the combined result of G6P and other effects on metabolism. In agreement with this hypothesis, previous studies have shown that Notch1 signaling can regulate the hepatic lipogenic program through actions on lipogenic gene expression 16. Our current data reveal a previously unknown role for Notch1 signaling in the regulation of oxidative genes. Reduced levels of G6P and increased expression of lipid oxidation genes may explain the increased insulin sensitivity observed in Notch1-deficient mice. 

The present study employed mice ubiquitously expressing Notch1 antisense driven by the mouse mammary tumor virus long terminal repeat promoter. These mice were more insulin sensitive under high-fat diet-fed obese conditions compared with the wild type control mice. Similar to the effects in hepatocytes, the expression levels of oxidative genes in adipocytes were also increased. However, body weight gain, and food intake upon HFD feeding were not different in NAS mice compared with control mice, suggesting that enhanced insulin sensitivity in the NAS mice may be attributed to the actions of increased expression of hepatic oxidative genes. At present, the reason for the differential impacts of Notch1 signaling on lipid accumulation in adipose tissue and liver are unclear. This may be due to the redundant effect of other Notch1 family members in adipose tissues. Indeed, Notch1, 2, 3, and 4 are also expressed in fat tissues, suggesting potential redundant effects of Notch family members in fat tissues. Alternatively, liver-specific or adipose tissue-specific Notch1-deleted mice may exhibit tissue-specific metabolic effects on Notch1 signaling due to pleiotropic effects of Notch1 signaling in various tissues. Indeed, adipose-specific inactivation of Notch1 reduced fat mass and improved insulin sensitivity, corroborating the conserved roles of Notch1 signaling in adipose tissues 24. Thus, it is reasonable to suggest that Notch1 may play a conserved role in hepatocytes and adipocytes. However, liver-specific Notch1-deleted mice will be required to definitively show hepatocyte-specific effects of Notch1 signaling in fatty liver, as well as metabolic effects, in the future. 

Our studies show that the Notch1 signaling pathway can regulate the expression of PPARα and lipid oxidation genes. It remains to be determined how Notch1 signaling regulates the expression of these oxidative genes. One possibility is that Hes1 may function as an inhibitory mediator of Notch signaling. Previous studies have shown that Hes1, a direct target of Notch signaling, behaved as a transcriptional repressor through its binding to the E-Box region on target promoters 25. Alternatively, NICD1 itself may regulate the expression of lipid oxidation genes indirectly by modulating transcriptional activators or repressors that in turn affect the expression of oxidative genes. Indeed, this is the case in the regulation of G6p and Fas expression by NICD1 14, 16. Determining whether there are direct effects of Hes1 and NICD on promoters of genes that encode lipid oxidation proteins is an intriguing avenue that should be explored in the future. In the present study, we identified Notch1 signaling as a key determinant of triacylglycerol metabolism in response to a high fat diet, and we further revealed novel biological actions of Notch1 signaling pathways on the regulation of lipid oxidation. Additionally, our data suggest that inhibition of γ -secretase or the Notch signaling pathway could be a novel strategy to prevent and treat fatty liver disease associated with obesity.
section_name: Discussion

section_content: Animal studies. All animal studies were carried out in accordance with, and with approval from, the Animal Research Committee of Sungkyunkwan University. Male C57BL/6 (8-week-old) mice were purchased from Central Lab Animal Inc. (Seoul, Korea) and housed in controlled temperature (24 ± 2 °C) and humidity (50 ± 10%) conditions under a 12-hour light and 12-hour dark cycle. Notch1 antisense transgenic (NAS) mice were generated as described previously 12. These mice were individually housed and allowed free access to water and food (Solid feed 5L79, Orient. Co. LTD, Seoul, Korea). After an adaptation period of 1 week, 9-week-old mice were randomly assigned into four groups. One group of each C57BL/6 and NAS mice were fed ND (normal chow diet), while the second group of C57BL/6 and NAS mice were given a high-fat diet containing 60% fat (HFD; Research Diets Inc., NJ, USA) for 12 weeks. Body weight was measured twice per week, and food intake was determined three times per week. 

For glucose tolerance tests, mice were fasted for 16 hours. Their glucose levels from tail-vein blood were determined prior to, and 30, 60, 90, and 120 minutes after i. p. injection of glucose (2 g/kg). For insulin tolerance tests, random fed-mice were injected i. p. with insulin (Humulin R, Eli Lilly, 1 U/kg). Glucose levels were determined prior to, and 30, 60, 120, 180, and 210 minutes after injection, using an Accu-Chek Active glucometer (Roche, Seoul, Korea). At the end of the experiments, mice were fasted for 16 hours and anesthetized by inhalation of ether followed by cardiac puncture. For histological studies, harvested tissues were fixed in 10% formaldehyde for 2 days and embedded in paraffin. Paraffin blocks were sectioned at a thickness of 5 μ m and subjected to hematoxylin and eosin staining. 

Cell culture. HepG2, C3H10T1/2, and 3T3-L1 cells were purchased from the American Type Culture Collection (Manassas, VA, USA). HepG2 cells were maintained in DMEM media supplemented with 10% fetal bovine serum (FBS) and 1% Pen/Strep. C3H10T1/2 and 3T3-L1 cells were maintained and differentiated into adipocytes as previously described 31. For differentiation, confluent cells were induced in DMEM supplemented with 10% FBS, 1 μ M dexamethasone (Sigma, St. Louis, MO), 0. 5 mM isobutyl-1-methylxanthine (Sigma), and 5 μ g/ ml insulin (Sigma) for 2 days. Every 2 days, cells were refreshed with media containing FBS and insulin. After 6-8 days of differentiation, cells were fixed with 4% paraformaldehyde in PBS at room temperature for 4 hours, and stained with 0. 5% Oil Red O (ORO, Sigma). ORO stained cells from at least two independent experiments were quantified by extracting dye with isopropanol. Absorbance was measured at 520 nm. Retroviral or lentivrial overexpression of NICD was performed using pBabe-puro and the packaging cell line of the Phoenix system as described previously 31.
section_name: Materials and Methods

section_content: For Western blotting, cells were harvested in cell lysis buffer (1% Triton X-100 and 0. 5% sodium deoxylcholate) with protease inhibitor cocktail tablets (11 836 153 001, Roche, Mannheim, Germany). Total cell lysates were separated by 10% sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) and transferred to Amersham Hybond ECL nitrocellulose membranes (RPN 303D; GE Healthcare, Piscataway, NJ, USA) as described previously 32. Anti-Notch1 (Sc 6014R) was obtained from Santa Cruz Biotechnology (Santa Cruz, CA, USA). Anti-IRS and pIRS1 (pTyr 612 ) were purchased from Sigma-Aldrich (St. Louis, MO). Anti-AKT and pAKT(Ser473) were purchased from Cell Signaling (Beverly, MA). Anti-β -actin (A5316) antibody was purchased from Santa Cruz Biotechnology. Visualized protein bands were quantified by densitometry using the Image J software (National Institute of Health, Bethesda, MD).
section_name: Protein expression.

section_content: To isolate total RNA from mouse tissues, homogenized TRIzol samples were centrifuged and total RNAs were isolated. Isolated RNA was further cleaned by phenol-chloroform extraction, followed by ethanol precipitation. Total RNA (500 ng) and 300 pmol random primers were mixed and heated at 65 °C for 5 minutes, and reverse transcribed using RTase M-MLV buffer, dNTP mixture, and RTase M-MLV (2640A, Takara, Ohtsu, Japan) at 37 °C for 50 minutes. The cDNA was amplified by Thermal cycler dice (Takara) using Power SYBR Premix Ex Taq (RP041A, Takara) and specific primer sets as previously described and shown below 31. Expression was normalized to 36B4. All real-time PCRs were performed at least twice.  cycle threshold (CT) was used to calculate the differences between the target CT value and the control (36B4) for each sample:  CT = CT target -CT control. The relative expression level was calculated using 2 -△CT. The oligonucleotide primer (Integrated DNA Technologies, San Diego, CA) sequences used for PCR were as follows: Pparα F, 5′ -atgccagtactgccgttttc-3′ and Pparα R, 5′ -ccgaatctttcaggtcgtgt-3′ ; Aox1 F, 5′caccattgccattcgataca-3′ and Aox1 R, 5′ -tgcgtctgaaaatccaaaatc-3′ ; Acot1 F, 5′ -gatcgcctcaaggatgttgt-3′ and Acot1 R, 5′ -atgatctggggcttctcctt-3′ ; Cpt1a F, 5′ -gatgtggacctgcattcctt-3′ and Cpt1a R, 5′ -tcttgtaatgtgcgagctg-3′ ; Ucp2 F, 5′ -acagccttctgcactcctg-3′ and Ucp2 R, 5′ -ggctgggagacgaaacact-3′ ; Acsl1 F, 5′ -accatgtacgatggcttcca-3′ and Acsl1 R, 5′ -tcatagggctggtttggctt-3′ ; Fas F, 5′ -gctgctgttggaagtcagc-3′ and Fas R, 5′ -agtgttcgttcctcggagtg-3′ ; Acc F, 5′ -gcagccctgggcacag-3′ and Acc R, 5′ -gggaatacccgtgggagtagtt-3′ ; G6p F, 5′ -tctgtcccggatctaccttg-3′ and G6p R, 5′ -gaaagtttcagccacagcaa-3′ ; Pc F, 5′ -cggcagggcggagctaacat-3′ and Pc R, 5′ -tttggggaggcaacaggggc-3′ ; Pepck F, 5′ -atcatctttggtggccgtag-3′ and Pepck R, 5′ -catggctgctcctacaaaca-3′ ; Notch1 F, 5′ -ctggaccccatggacatc-3′ and Notch1 R, 5′ -aggatgactgcacacattgc-3′ ; Pparγ F, 5′ -ccattctggcccaccaac-3′ and Pparγ R, 5′ -aatgcgagtggtcttccatca-3′ ; aP2 F, 5′ -caccgcagacgacaggaag-3′ aP2 R, 5′ -gcacctgcaccagggc-3; Human PPARα F, 5′ -gcactggaactggatgacag-3′ and human PPARα R, 5′ -tttagaaggccaggacgatct-3′ ; human FAS F, 5′ -caggcacacacgatggac-3′ and human FAS R, 5′ -cggagtgaatctgggttgat-3′ ; human ACC F, 5′ -gctggtccacatgaacagg-3′ and human ACC R, 5′ -gccttctggatattcaggacttt -3′ ; human SREBP-1c F, 5′ -cgctcctccatcaatgaca -3′ and human SREBP-1c R, 5′ -tgcgcaagacagcagattta-3′ ; human CPT1A F, 5′ -caatcggactctggaaacg-3′ and human CPT1A R, 5′ -ccgctgaccacgttcttc-3′ ; human UCP2 F, 5′ -tgaaagccaacctcatgaca-3′ and human UCP2 R, 5′ -gatgacagtggtgcagaagc-3′ ; human ACSL1 F, 5′ -gcttttgtgaaagcaacagaga-3′ and human ACSL1 R, 5′ -ggcgagaggcaagaaagata-3′ ; human LCAD F, 5′ -ggatctgtactccgcagctatt-3′ and LCAD R, 5′ -ctaaaacctgggcctgaaca-3′ ; human G6P F, 5′ -ccctgtaacctgtgagactgg-3′ and G6P R, 5′ -aaagagtagatgtgaccatcacgta-3′ ; siRNA knockdown of Notch1. siRNA knockdown of Notch1 was carried out as described previously 20. Two independent small interfering RNA (siRNA) sequences targeting Notch1 and a nonspecific negative control were purchased from Genolution Pharmaceutical Inc. (Seoul, Korea). Notch1 specific siRNA#1 was sense 5′ -CCAACAAGGACAUGCAGAACAACAA UU-3′. Notch1 specific siRNA#2 was sense 5′ -UGAGACAGGCAACAGUGAAGAAGAA UU-3′. The non-specific sequence for the negative control was sense 5′ -CCUCGUGCCGUUCCA UCAGGUAGUU-3′. Cells were transfected with 20 pmol siRNA using Lipofectamine RNAiMAX (Invitrogen 13778-075) for 16 hours. After 48 hours, total RNA was extracted to measure the expression of oxidation genes by real-time PCR. To assess the effects on lipid accumulation, the transfected cells were induced and differentiated into adipocytes for 7 days followed by ORO staining or total RNA extraction for real-time PCR. Transfections were carried out in triplicates. 

Fatty acid oxidation. HepG2 cells were seeded in 24-well plates at a density of 2. 5 × 10 5 /well for 24 hours. Subsequently, the cells were loaded with free fatty acids (100 μ M palmitic acid and 100 μ M oleic acid) containing 0. 5% bovine serum albumin (BSA, Bovogen Biologicals, Melbourne, Australia) for 24 hours. The following day, cells were treated with DAPT (5, 10, or 20 μ M) or 1 μ M GW7647 in DMEM containing 0. 45 mM [ 14 C] palmitate (57 mCi/mM; Perkin Elmer) conjugated to 1 mg/ml FA-free BSA for a further 24 hours. The medium was removed to a sealed container and the l4 CO 2 was extracted by mixing with 0. 5 ml 1 M NaOH and 0. 5 ml concentrated HCl. The amount of 14 CO 2 was measured using a liquid scintillation counter. The total protein concentrations of cells were determined for normalization.
section_name: Quantitative real-time PCR.

section_content: Data are presented as the mean ± SEM. Differences in gene expression and lipid accumulation were analyzed using a two-tailed unpaired Student's t-test or analysis of variance (ANOVA) followed by a Student-Newman-Keuls test. All computations were performed using statistical analysis software (PASW Statistics 17). Statistical significance was considered when a p value was less than 0. 05.
section_name: Statistical analysis.

section_name: Acknowledgements

section_content: This study was supported by a grant ( A101711, HI14C2539 ) from the Korea Health21 R&D Project, Ministry for Health, Welfare, and Family Affairs, Republic of Korea. This study was also supported by grants ( 20110014302, 2013R1A1A2060447, 2012S1A2A1A01031782, 2015R1A2A1A01003530 ) funded by the Basic Science Research Program through the National Research Foundation of Korea (NRF), the Ministry of Education, Science and Technology, Republic of Korea. This research was supported, in part, by the Intramural Research Program of the National Institute on Aging, NIH.
section_name: Acknowledgements

section_name: Author Contributions

section_content: Supplementary information accompanies this paper at http://www. nature. com/srep Competing financial interests: The authors declare no competing financial interests.
section_name: Additional Information