Abstract
Fatty acid synthase (FASN) is an attractive therapeutic target in non-alcoholic steatohepatitis (NASH) because it drives de novo lipogenesis and mediates pro-inflammatory and fibrogenic signaling. We therefore tested pharmacological inhibition of FASN in human cell culture and in three diet induced mouse models of NASH. Three related FASN inhibitors were used; TVB-3664, TVB-3166 and clinical stage TVB-2640 (denifanstat). In human primary liver microtissues, FASN inhibiton (FASNi) decreased triglyceride (TG) content, consistent with direct anti-steatotic activity. In human hepatic stellate cells, FASNi reduced markers of fibrosis including collagen1α (COL1α1) and α-smooth muscle actin (αSMA). In CD4+ T cells exposed to NASH-related cytokines, FASNi decreased production of Th17 cells, and reduced IL-1β release in LPS-stimulated PBMCs. In mice with diet induced NASH l, FASNi prevented development of hepatic steatosis and fibrosis, and reduced circulating IL-1β. In mice with established diet-induced NASH, FASNi reduced NAFLD activity score, fibrosis score, ALT and TG levels. In the CCl4-induced FAT-NASH mouse model, FASN inhibition decreased hepatic fibrosis and fibrosis markers, and development of hepatocellular carcinoma (HCC) tumors by 85%. These results demonstrate that FASN inhibition attenuates inflammatory and fibrotic drivers of NASH by direct inhibition of immune and stellate cells, beyond decreasing fat accumulation in hepatocytes. FASN inhibition therefore provides an opportunity to target three key hallmarks of NASH.
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Introduction
Nonalcoholic fatty liver disease (NAFLD) is a global epidemic associated with obesity, type 2 diabetes (T2D), insulin resistance and metabolic syndrome, and is histologically associated with fat accumulation (steatosis) in the liver. Nonalcoholic steatohepatitis (NASH) is an aggressive, progressive form of NAFLD in which there is hepatocyte injury, infiltration by inflammatory cells and activation of fibrogenic stellate cells1. Activation of stellate cells leading to fibrosis also confers increased risk of progression to cirrhosis and hepatocellular carcinoma (HCC). Hepatic fibrosis is the sole histologic predictor of liver related outcomes in patients with NASH2,3,4.
Fatty acid synthase (FASN) is an enzyme in the de novo lipogenesis (DNL) pathway that converts the metabolites of dietary sugars, acetyl-coenzyme A (CoA) and malonyl-CoA, into palmitate, a saturated fatty acid at the final committed step of the DNL pathway. Hepatic DNL is increased in patients with metabolic syndrome and NAFLD compared to healthy individuals5,6, associated with increased intake of dietary sugars. FASN gene expression is elevated in liver biopsies from NAFLD patients7.
Palmitate generated by FASN has several possible fates in the liver of patients with NAFLD. First, in hepatocytes, it is a building block for synthesis of fatty acids and more complex lipids such as triglycerides that generate steatosis. Second, the DNL pathway is essential for human hepatic stellate cell (hHSC) activation and fibrogenesis, and its inhibition leads to HSC quiescence and decreased collagen production8,9. HSCs are rich in lipid droplets containing retinyl esters and are quiescent in normal liver. Liver injury provokes transdifferentiation of HSCs into myofibroblast-like cells which lose lipid and acquire a fibrogenic, contractile and proliferative phenotype10. The LX-2 cell line is an activated human HSC that harbors key features of activated HSCs10,11 and is a widely used platform for initial screening of candidate antifibrotic drugs12. Third, palmitate is a substrate for synthesis of pro-inflammatory and pro-fibrotic lipotoxins including ceramides, sphingomyelins and diacylglycerols (DAGs)13. Lipotoxicity is a major contributor to the pathogenic mechanisms driving the progression of NASH14. NASH patients have increased levels of ceramides that are associated with insulin resistance, inflammation, and production of reactive oxygen species15,16,17. Increased intrahepatic fat and the generation of lipotoxic metabolites promote the progression of NAFLD by damaging hepatocytes, stimulating inflammatory responses, and activating HSCs. Fourth, palmitate directly activates the Nod-like receptor (NLR) family pyrin domain containing 3 (NLRP3) inflammasome. In human macrophages palmitic acid treatment leads to pro-inflammatory cytokine production18. In rat HSCs, administration of palmitic acid activates the NLRP3 inflammasome via the TLR4 pathway and leads to activation, proliferation and expression of pro-fibrogenic genes such as αSMA, Col1α1, TIMP1 and TGF-beta19. Palmitate administration can directly cause liver injury and NASH in mouse models20. The DNL pathway is also important for development of pro-inflammatory T helper (Th17) cells21,22, which are increased in the liver of NASH patients compared to healthy liver and may contribute to stellate cell activation and liver damage. This may provide another mechanism for FASN inhibition to decrease liver inflammation.
Based on the disease-promoting properties of the DNL pathway and palmitate, FASN is an attractive drug target to attenuate hallmarks of NASH pathogenesis driven by hepatocytes, immune cells and HSCs. Early tool FASN inhibitors included natural products such as cerelulin and platensimycin, and a covalent inhibitor named C-75 which have been useful to explore the biology of FASN in a range of preclinical models, but have off-target activities and are not suitable for clinical development [review, 23]. We tested potent small molecule FASN inhibitors including TVB-2640 (denifanstat) in liver, immune and fibrogenic cells ex vivo, and in mouse models of NASH and liver fibrosis. The efficacy observed underscores the value of FASN inhibition in NASH, and provides insight into mechanism of action. These results support the rationale underlying clinical testing of denifanstat, a first in class FASN inhibitor currently in Phase 2 for NASH.
Results
Description of FASN inhibitors
Three chemically related FASN inhibitors were used in these studies. They were developed at Sagimet Biosciences (formerly 3-V Biosciences) and have been previously described24,25,26. All three are highly potent and selective FASN inhibitors that target the β-ketoreductase domain. A summary of compound characteristics is provided in Table 1. FASN inhibitors were tested in different NASH models based on DMPK properties and development stage. Briefly, TVB-3664 has optimized mouse PK and potency, and was therefore used for the in vivo mouse NASH models26, and in the human hepatic stellate cell (HSC) and T cell studies. TVB-2640 (denifanstat) is in clinical development for NASH24 and was used in the primary human liver microtissue (LMT) study. The third FASN inhibitor, TVB-3166, is a well characterized first generation Sagimet FASNi25,26 and was used in the PBMC study.
FASNi treatment reduces cellular triglycerides in human liver microtissues
The in vitro effect of FASN inhibition on cellular triglycerides was tested in a primary human liver microtissue (LMT) model that contains hepatocytes as the majority cell type, in addition to hepatic endothelial cells, hepatic stellate cells (HSC) and Kupffer cells, cultured in conditions to mimic fatty liver disease27. The FASN inhibitor TVB-2640 reduced accumulation of cellular triglycerides induced by glucose/insulin stimulation (Fig. 1a). This was statistically significant at doses of 30 nM and 3 µM, of which the former approximates the cellular IC50 for inhibition of palmitate synthesis.
FASNi treatment reduces expression of fibrotic and inflammatory markers
To directly assess the effect of FASN inhibition on HSC, TVB-3664 was incubated with the LX-2 human stellate cell line. Concentrations up to 150 nM of TVB-3664 were not cytotoxic (not shown). TVB-3664 inhibited proliferation of these cells, based on BrdU incorporation, in a dose-dependent manner with a modest effect at 150 nM (Fig. 1b). TVB-3664 (150 nM) decreased gene expression of Col1α1 (− 68%), αSMA (− 60%), βPDGFR (− 54%), TGFβR1 (− 53%), TIMP1 (− 9%), TIMP2 (− 24%), and MMP2 (− 50%) in LX-2 cells (Fig. 1c). Gene expression was restored 48 h after removal of TVB-3664, indicating that the effect was not due to toxicity. Consistent with this, immunocytochemistry showed decreased Collagen 1α1 and αSMA proteins in LX2 cells (Fig. 1d). Similar decreases in protein expression of Collagen 1α1 and αSMA were observed in primary hHSCs (Fig. 1e), providing additional validation that FASN inhibition had a direct anti-fibrogenic impact.
The DNL pathway is important for Th17 cell production and function21,22, and therefore the effect of FASN inhibition was tested on the development of Th17 cells. CD4+ T cells isolated from blood of healthy volunteers were treated with a cytokine cocktail (IL-1β, IL-6, TGF-β and IL-23), that mimics the pro-inflammatory environment in the NASH liver to induce differentiation to Th17. As shown in Fig. 1f, these conditions generated ~ 30% Th17 cells in cells from two independent donors. FASN inhibition by TVB-3664 (50 nM) or TVB-2640 (100 nM) decreased development of Th17 cell population from human CD4+ T cells by > 75% or more, with Th17 cells ranging from 1.6 to 10.3%, while T regulatory cells were increased from < 1% (vehicle) to 20–30% in the presence of FASN inhibitor (Fig. 1f).
DNL also is necessary for inflammasome activation so the effect of FASN inhibition on secretion of inflammasome-mediated cytokines in human PBMCs was tested. To induce IL-1β secretion, cells were stimulated with either LPS to activate via toll-like receptor 4 (TLR4) or with lipotechoic acid to activate TLR2. Treatment with TVB-3166 for 48 h significantly reduced IL-1β secretion by more than 50% (Fig. 1g). Similar findings were observed across several independent human donors. Taken together, these in-vitro and ex-vivo results show that FASN inhibition acts directly on several cell types important for NASH.
FASNi treatment prevents pro-inflammatory cytokine release and development of NASH in a diet-induced mouse model of NASH
TVB-3664 was tested in a series of mouse models of NASH. First, in a prevention model of diet induced NASH, C57BL/6J mice were fed a form of Western diet (WD), containing 40 kcal% fat (vegetable shortening), 20 kcal% fructose, and 2% cholesterol, and given vehicle or TVB-3664 at different dose levels orally once daily for 57 days, with 5 animals per group. TVB-3664 was well tolerated and food intake was similar in TVB-3664 and vehicle treated groups. Upon necropsy at the end of study, liver steatosis, as measured by adipophilin staining, and fibrosis, as measured by trichrome staining, were increased in vehicle treated animals on HFSD, and extensive tissue remodeling was evident (Fig. 2a). Cardinal morphologic features of livers of mice in this group were consistent with steatosis with early evidence of fibrosis and inflammation (Fig. 2a). In contrast, TVB-3664 (3 mg/kg) treatment was associated with decreased steatosis and fibrosis compared to the vehicle WD group (Fig. 2a and Supplementary Table S1). Histological scoring of H&E stained liver slides using a scale from normal (0) to severe (4) based on overall hepatic changes showed that TVB-3664 treatment was associated with a dose-dependent reduction in liver histology severity score (Fig. 2b and Supplementary Table S2), with a mean ± SD score of 4.6 ± 0.49 for the vehicle HFSD group, 3.2 ± 0.75 at 0.5 mg/kg and 2.0 ± 0.63 at 10 mg/kg TVB-3664.
Serum cytokine levels including IL-1β were elevated in the vehicle WD group in comparison to the vehicle standard diet control (Fig. 2c). TVB-3664 treatment resulted in a clear dose-related reduction in the level of IL-1β (Fig. 2c) and other cytokines (Supplementary Fig. S1). The highest dose levels tested of 3 or 10 mg/kg restored levels to those observed in vehicle control animals on a normal diet. The results from this preventative model indicate that FASN activity is required for the development of steatosis, pro-inflammatory activity, and fibrosis.
FASNi treatment improves liver disease in a therapeutic diet-induced mouse model of NASH
TVB-3664 was next evaluated in a therapeutic (established disease) model, where diet-induced NASH was established prior to initiation of drug treatment. C57BL/6J male mice were fed a form of WD containing 40 kcal% fat (vegetable shortening), 20 kcal% fructose, and 2% cholesterol for 44 weeks to induce obesity, steatohepatitis and fibrosis. A pre-treatment liver biopsy was performed to confirm the presence of NASH with fibrosis, and animals were then treated once-daily with either TVB-3664 at 10 mg/kg or placebo for the next 8 weeks (n = 11/12 per group). TVB-3664 was well tolerated and food intake was similar in TVB-3664 and vehicle treated groups. Upon necropsy, histological scoring of livers was performed using the NAFLD Activity Score (NAS) CRN method28. TVB-3664 treatment reduced total lipid content and % area of the liver (p < 0.001 vs vehicle) (Fig. 3a). Of the 3 NAS components, steatosis improved in 100% of animals, ballooning in ~ 40% and inflammation in 66% of animals, respectively. Overall, TVB-3664 reduced NAS score in 100% of animals from a mean score of 6 pre-treatment to 3.8 post-treatment (p < 0.001). There was no improvement in any vehicle-treated mice, with a mean NAS score of 6.5 both pre and post-treatment (Fig. 3b). Moreover, TVB-3664 treatment was associated with lowering liver fibrosis stage in approximately 30% of animals (Fig. 3b).
Treatment with TVB-3664 at 10 mg/kg significantly reduced plasma ALT and AST levels compared to vehicle treatment (Fig. 3c). Plasma triglycerides and plasma cholesterol levels were also reduced (Fig. 3c). TVB-3664 also reduced liver weight, liver triglycerides and liver cholesterol levels (Supplementary Fig. S3). These results show that 8 weeks of FASN inhibitor treatment reduced liver NAS score and fibrosis stage in this established disease setting, and was associated with improved markers of liver and metabolic health.
FASNi treatment attenuates NASH and hepatocellular carcinoma in the FAT-NASH (CCl4) mouse model with advanced fibrosis
The effect of FASN inhibition was also evaluated in a therapeutic model of diet-induced NASH with CCl4 administration to cause liver fibrosis, recently termed the FAT (Fibrosis And Tumors)-NASH model29. C57BL/6J mice were fed a form of WD, containing 21.2% fat (42% Kcal), 41% sucrose and 1.25% cholesterol WD and sugared water, and administered once weekly CCl4 for 12 weeks to induce NASH with liver damage. Then oral TVB-3664 (5 mg/kg, n = 8) or vehicle (n = 9) was added once daily to the weekly CCl4 for an additional 12 weeks. TVB-3664 was well tolerated and food intake was similar in TVB-3664 and vehicle treated groups.
At 24 weeks, vehicle treated animals showed advanced bridging fibrosis, ballooning and inflammation. In contrast TVB-3664-treated mice had significantly reduced fibrosis (Fig. 4a), with regression of fibrillar collagen content by 53% versus vehicle control (Fig. 4a). As assessed by AI-based second harmonic generation (SHG) analysis, animals receiving TVB-3664 had decreased liver collagen content (Fig. 4b). Hepatocellular carcinoma (HCC) developed in all vehicle treated mice, with 4–46 liver tumors per animal. The number of liver tumors was reduced overall by 85% by TVB-3664 (p < 0.05) (Fig. 4c). Representative liver pictures after necropsy are shown in Fig. 4d. At the end of study, liver weight ratios were not significantly different across the groups (data not shown).
To gain insight into the mechanism of action, we assessed a panel of fibrogenic genes in liver samples. There was a significant reduction of Col1α1 (p = 0.005), α smooth muscle actin (αSMA) (p = 0.0003), PDGFRβ (p = 0.002), TIMP-1(p = 0.007), TIMP-2 (p = 0.003), and MMP-2 (p = 0.001) in mice treated with TVB-3664 (Fig. 5a). Col1α1 and αSMA protein expression were decreased in TVB-3664-treated compared to vehicle treated animals by 49% (p = 0.04) and 31% (p = 0.23), respectively (Fig. 5b, and Supplementary Fig. S4). TVB-3664 treatment was associated with significantly decreased steatosis and hepatocyte ballooning compared to vehicle controls, as seen in H&E staining (Fig. 5c,d). Lobular inflammation was similar in the groups and most animals had a score of 2 (Fig. 5d). TVB-3664 treatment led to significant decreases in serum ALT (49%, p = 0.007) and AST decreased by20% (Fig. 5e). A 31% decrease in serum triglycerides was observed in TVB-3664 compared to vehicle treated animals (p = 0.02). These results show that FASN inhibition improved established liver disease and prevented the development of HCC in a NASH model with aggressive fibrosis.
Discussion
NASH is a multi-faceted disease involving several cell types and mechanisms. Lipid accumulation in hepatocytes leads to steatosis and generation of lipotoxins, which potentiates inflammation and drives fibrogenesis in stellate cells. FASN plays a role in several distinct cell types in NASH and impacts each of these three core mechanisms. FASN inhibition therefore has potential to target multiple aspects of NASH pathogenesis. FASN’s role in lipid synthesis is well established, and the FASN inhibitor TVB-2640 decreases hepatic DNL in healthy volunteers with characteristics of metabolic syndrome30 and liver fat in NASH patients24.
This is the first manuscript describing evaluation of this class of potent and selective FASN inhibitors in preclinical NASH models. This provides important proof of concept for FASN inhibition and contributed to nomination of TVB-2640 (denifanstat), a first in class FASN inhibitor for clinical development in NASH.
In this series of studies, in vitro and ex-vivo models were used to directly test the effect of FASN inhibition on inflammation and fibrosis in human culture models of primary LMT, the LX-2 HSC cell line, primary hHSC, CD4+ T cells and PBMC. The ex-vivo human LMT model demonstrated that FASN inhibition decreases cellular triglycerides, a marker of steatosis or liver fat accumulation. Furthermore, FASN inhibition also directly reduced fibrogenic activity of primary hHSCs and pro-inflammatory activity in human immune cells. In vivo, this translated to efficacy in mouse models of diet induced NASH, evidenced by decreased steatosis, inflammation, and fibrosis and reduced development of hepatocellular carcinoma. In vivo efficacy was tested in three murine models of NASH; a prevention model of diet-induced NASH, a therapeutic model of diet-induced NASH, and a therapeutic FAT-NASH model with aggressive liver fibrosis injury that develops hepatocellular carcinoma.
FASN inhibition in both the LX-2 stellate cell line and primary hHSC reduced the expression of genes involved in stellate cell activation, including Col1α1, αSMA, βPDGFR, and decreased collagen and αSMA protein expression, indicating that FASN inhibition directly reduces HSC fibrogenic activity. Acetyl-CoA carboxylase (ACC) inhibitors, one step upstream from FASN in the DNL pathway, have shown similar effects; the ACC inhibitor PF05221304 inhibits DNL in primary HSC9 and the ACC inhibitor firsocostat/GS9076 and a FASN inhibitor decreased TGF-beta induced DNL and procollagen1 production in LX-2 cells8. Collectively, these findings from multiple independent studies, including the current study, using different chemical scaffolds demonstrate that DNL inhibitors directly decrease HSC activation, consistent with decreased formation of activated myofibroblasts, which is important for HSC-mediated fibrosis10. This effect may be mediated by preventing the activation of a NLRP3 structure similar to the inflammasome, although the specific steps remain to be elucidated18,19,31.
FASN inhibition decreased several measures of inflammation in primary human immune cells. A likely mechanism for the decreased IL-1β production in PBMC is that decreased palmitate production resulting from FASN inhibition leads to decreased NLRP3 inflammasome activation18,19. The decrease in Th17 cell production in the presence of FASN inhibitors is consistent with results from Young et al., with a different FASN inhibitor C75, which showed that FASN is required for production and differentiation of Th17 cells22. Similar results have been found for ACC inhibitors9,21, and a proposed mechanism is that the DNL pathway is required for metabolism and/or membrane production in the highly proliferating and signaling Th17 cells but not in Treg cells. The development of hepatic inflammation and lipotoxicity potentiates the development of fibrosis in NASH. Taken together, these primary human cell data indicate that FASN inhibition directly attenuates pathways of fibrogenesis and inflammation relevant to NASH, as well as reducing steatosis.
Since no single animal model of NASH is fully predictive of drug efficacy in humans, we explored FASN inhibition in three separate mouse diet-induced models spanning the spectrum of disease severity; a prevention model, a therapeutic model, and a therapeutic model with advanced fibrosis and tumor formation (FAT-NASH). Results were consistent across these models. FASN inhibition decreased ALT, AST levels consistent with decreased liver injury. Circulating TG levels were tested in the therapeutic and FAT-NASH models and decreased slightly with FASNi, different to the increased TGs reported for ACC inhibitors in some NASH models9,32 and ACC inhibitors in clinical studies33,34. This could be due to potentially different impact of ACCi and FASNi on malonyl-CoA levels and subsequent lipid pathways, and indicates that targeting different nodes on the DNL pathway may have different downstream effects. Across all 3 models with FASNi, liver histology showed decreased steatosis and improved liver histology, which was associated with decreased NAS score measured using CRN criteria in the therapeutic and FAT-NASH model. In the severe FAT-NASH model, fibrosis and collagen content were significantly decreased by TVB-3664, consistent with the in vitro findings of decreased fibrogenic activity in HSC. This is the first report of a DNL inhibitor in this model. In this model, fibrosis was measured by both conventional histology and using an artificial intelligence (AI)-based digital SHG platform, with consistent results. Use of AI-based approaches are increasingly incorporated into clinical NASH studies to complement traditional histology, because AI-based approach can more accurately quantify fibrosis on a continuous scale and establish co-localization with other parameters including steatosis. Both approaches will be incorporated into the Ph2b NASH study with TVB-2640. Overall, these results indicate that FASN inhibition alleviates several hallmarks of NASH in this aggressive fibrosis model.
The FASN inhibitor effects in the severe FAT-NASH model reduced development of HCC tumors, a clinical risk associated with severe NASH. It has recently been shown that TVB-3664 suppresses AKT mediated hepatic steatosis in a mouse HCC model and that specific oncogene-driven subsets of HCC such as the MET-high/PTEN low are particularly FASN-dependent35. The ability of FASN inhibition to reduce the emergence of hepatocellular carcinoma in mice with significant liver injury provides the potential for further evaluation of this treatment for this devastating disease. Mechanisms underlying HCC inhibition by FASN inhibitors merit further studies to distinguish between indirect effects by reducing the metabolic, inflammatory and fibrogenic drivers of tumorigenesis and direct effects on early tumor cells. Our preclinical results show that FASN inhibitors act directly on the 3 major cell types driving NASH pathogenesis: hepatocytes, inflammatory cells and HSCs. Specifically, FASN inhibition reduces intracellular triglyceride levels in LMT, reduces cytokine expression from inflammatory cells, blunts the induction of pro-inflammatory Th17 cells and reduces the fibrogenic potential of phHSCs. In vivo, FASN inhibition had a multi-faceted impact on liver damage across different models reducing liver fat, inflammatory markers, and fibrotic scar tissue. In addition, many of the other sequelae often present in NASH patients and animal models of NASH including elevated plasma ALT and triglycerides were improved by FASN inhibitor treatment. This may result from a direct effect of FASN inhibition on these major cell types as well as an indirect effect whereby FASN inhibition of the instigating event of fat accumulation in hepatocytes leads to the removal of the downstream lipotoxic damage elicited by excess hepatic fat.
Denifanstat is in clinical development for NASH. In a 12-week Phase 2a study FASCINATE-1, denifanstat reduced liver fat content in subjects with NASH and improved serum markers of fibrosis and inflammation, including ALT, PRO-C3 and CK-1824. These results are consistent with the nonclinical efficacy and mechanistic data described in this study, indicating that FASN inhibitors act directly on the major cell types of NASH pathogenesis.
Materials and methods
Compounds
TVB-2640 (denifanstat), TVB-3166 and TVB-3664 were designed and synthesized by Sagimet Biosciences (formerly 3-V Biosciences), and have been previously described24,25,26,36. For in vivo studies, TVB-3664 was administered once daily by oral gavage formulated in 30% PEG400 in water. For in vitro studies, compounds were formulated as stock solutions in DMSO and diluted prior to use.
Cell based assays
Biochemical and cellular potency assays
Conducted at 3-V Biosciences, Menlo Park, CA.
FASN enzymatic activity was determined using a fluorescence-based thiol quantification assay as described by Chung et al.37. The assay monitors the release of Coenzyme A (CoA), a byproduct of FASN activity, which reacts with the profluorescent dye CPM (7-Diethylamino-3-(4-maleimidophenyl)-4-methylcoumarin) (Sigma C1484) and makes it fluorescent. For FASN biochemical assays, human FASN protein was extracted from SKBr3 cells. Palmitate synthesis assays were performed as previously described25, by cell incubation in media containing 13C-acetate and measurement of conversion to palmitate by LC–MS analysis. The mean of 2 to 15 independent assays are shown. Data were analyzed using Excel (Microsoft Corp., Redmond, WA) and Prism (GraphPad Software, Inc., La Jolla, CA) software.
LMT
Conducted by the Contract Research Organization Insphero AG (Switzerland). LMTs were created using cryopreserved primary human cells and cultured in 96 well Akura plates using established protocols, as previously described27 Total TG content was measured with the TG-Glo assay (Promega, J3161).
LX-2
Conducted by the Friedman lab. The procedures were followed as previously described29. Briefly, in 6-well culture plate 150,000 LX-2 cells were seeded per well and serum starved overnight. Two sets of culture plates were run in parallel. Both sets of LX-2 cells were induced with either vehicle (DMSO) or indicated dosing of TVB-3664. One set of LX-2 cells were harvested after 48 h of TVB-3664 treatment before harvest. In other set of cells both vehicle and TVB-3664 were replaced by normal DMEM culture media with 10% FBS and maintained for additional 48 h before harvest. For RNA expression, total RNA was extracted from harvested LX-2 cells, cDNA was synthesized and expression of fibrogenic genes was quantified by qPCR. Unpaired T tests were used to compare the mean results per group appropriate since these were independent groups.
Immunocytochemistry of HSCs
Conducted by the Friedman lab. Primary human hepatic stellate cells (phHSCs) were isolated, purified and cultured from discarded remnants of surgically resected human livers of de-identified patients. The protocol was reviewed and approved by Institutional Review Board (IRB) of Icahn School of Medicine at Mount Sinai, NY, and informed consent was obtained. All methods were performed in accordance with the Declaration of Helsinki. Col1α1 and αSMA either in LX-2 or phHSCs in presence of TVB-3664 small molecule were determined by immune-staining DAB technique. 100,000 LX-2 cells or 80,000 primary hHSCs were seeded on glass coverslip. Cells were starved overnight in DMEM supplemented with 0.1% BSA (without antibiotic) to synchronize metabolic activities of the cells. Cells were then incubated with either vehicle or TVB-3664 FASNi at the indicated concentration and duration. The cells were washed thoroughly with 1× PBS and fixed in 4% paraformaldehyde, permeabilized with 0.5% Tween-20 in 1× PBS and blocked in Dako peroxidase block (0.03% H2O2, sodium azide; Agilent Technologies, CA). To avoid non-specific antibody binding the cells were re-block with Dako protein block serum-free reagent (Agilent Technologies, CA). The cells were immunostained with rabbit anti-Collagen1 (Rockland Immunochemicals Inc., PA) or rabbit anti-αSMA (Abcam, MA) primary antibodies for overnight. A set of no primary antibody control cell was run in parallel as background control (data not shown). The secondary antibody used for this study was Dako labelled polymer-HRP anti-rabbit (Agilent Technologies, CA) and incubated for 1 h. The cells were then treated with Dako DAB-chromogen (Agilent Technologies, CA). Nuclear counter staining was performed with hematoxylin (Sigma-Aldrich, MO). Antibody signals was captured with Axiocam 503 mono camera (Zeiss, NY) using 10× objective in an AxioImager Z2 upright microscope (Zeiss, NY). Image acquisitions were analyzed by Zen2 software (Zeiss, NY).
PBMC and CD4+ T cells
Conducted by Sagimet Biosciences (formerly 3-V Biosciences). Healthy human donor blood collected in sodium citrate tubes was purchased from The Stanford Blood Center, Palo Alto, CA. Appropriate informed consent and IRB approval was obtained under licenses in place at Stanford Blood Center (https://stanfordbloodcenter.org/research-updates/donating-for-research/). All samples were de-identified. All methods were performed in accordance with the Declaration of Helsinki. Freshly collected PBMC were isolated from by Ficoll Paque Plus density gradient separation (Millipore Sigma, GE17-1440-02). Naïve CD4+ T cells were enriched with Dynabeads™ human CD4+ T Cells Isolation Kits (Thermo Fisher, Cat# 11346D).
Naïve human CD4+ T cells were then differentiated by plating into 48-well tissue culture plates (Costar) with 1 μg/mL anti-CD3 with anti-CD28 antibody coated beads. Differentiation to generate human Th17 naïve human CD4+ T cell cultures were placed in medium containing the following additives for 4 days: anti-IL-2 (30 ng/mL, anti-IL-4 antibody (20 ng/mL), anti-IFNγ antibody (50 ng/mL) from R&D Systems, recombinant human IL-6 (10 ng/mL), human TGFβ (1 ng/mL) (recombinant human IL-1β (10 ng/mL) recombinant human IL-23 (10 ng/mL) from BD Biosciences. The resulting Th17 cells were cultured in IMDM GlutaMAX medium (Life Technologies) supplemented with 10% heat-inactivated FCS (Life Technologies) with 500 units of penicillin–streptomycin (Life Technologies). IL-1β from primary human PBMC supernatant was measured by ELISA according to manufacture’s instructions (DLB50, R&D Systems).
Flow cytometry
Conducted by Sagimet Biosciences (formerly 3-V Biosciences). Monoclonal antibodies specific to the following antigens (and labeled with the indicated fluorescent markers) were used: Foxp3 FITC (236A/E7; 1:100), (Affymetrix/eBioscience), IL-17A PE-Cy7 (eBio64DEC17; 1:100). (Affymetrix/eBioscience), CD4 PerCP (SK3; 1:200) (BD Biosciences).
For analysis of surface markers, cells were stained in PBS containing 0.25% BSA and 0.02% azide. Dead cells were excluded by LIVE/DEAD Fixable Dead Cell Stain Kit (Life Technologies). For intracellular cytokine staining cells were treated with Brefeldin A (5 mg/mL) for 2 h and stained using the Fixation/Permeabilization Kit (BD Biosciences) according to the manufacturer’s instructions. Quantitation of fluorescent cells and their staining intensity were acquired on a FACSCalibur (BD Biosciences), and data were analyzed with CELLQuest software.
Mouse models
All animal housing and research procedures and protocols involving live animals were approved by respective local Institutional Animal Care and Use Committee (IACUC). Animal welfare for the studies described was in compliance with the U.S. Department of Agriculture’s (USDA) Animal Welfare Act (9 CFR Parts 1, 2, and 3). All studies were conducted in accordance with ARRIVE guidelines. Additional detail on statements of approval, licenses, animal care, housing and euthanasia for each vertebrate study are provided in the Supplemental Methods file. In all three models animals were fed a diet designed to mimic a Western diet (WD) containing high fat, high sugar plus cholesterol.
Preventative NASH diet-induced model
In life conducted by the Contract Research Organization Care Research (Fort Collins, CO) using 5-week old male C57BL/6J mice. CARE is a USDA certified (Certificate Number 84-R-0081) and OLAW accredited facility. The study design and animal usage were reviewed and approved by the CARE Research IACUC for compliance with regulations prior to study initiation (IACUC number 1628). Mice were fed a diet designed to imitate a WD, containing 40 kcal% fat (vegetable shortening), 20 kcal% fructose, and 2% cholesterol (#D09100301, Research Diets, Inc.), or normal standard commercial rodent diet (Teklad Rodent Chow 2018,Harlan). Liver samples were processed and histology performed at IDEXX BioResearch (Sacramento). Masson’s Trichrome stain was used to assess the amount of fibrous connective tissue in the liver, and Oil Red O and adipophilin stained sections were used to characterize histologic features associated with steatosis. A qualified pathologist (Tox Consult LLC) performed histologic evaluation using the following scoring system on H&E stained sections: 0 = normal; 1 = minimal changes; 2 = mild changes; 3 = moderate changes; 4 = marked changes and 5 = severe changes. Cytokine/chemokine assays were performed by Sagimet Biosciences using terminal bleed samples, by ELISA according to manufacturers instructions (EA-4003, Signosis Inc).
Therapeutic NASH diet-induced model
Conducted by the Contract Research Organization Gubra (Denmark) using 5-week old male C57BL/6J mice. All animal experiments were conducted in accordance with Gubra’s bioethical guidelines, fully compliant to internationally accepted principles for the care and use of laboratory animals. The experiments were covered by licenses for Jacob Jelsing (2013-15-2934-00784 and 2015-15-0201-00518) issued by the Danish committee for animal research. Mice were fed a diet designed to imitate a WD, containing 40% high trans-fat with high sugar (20% fructose, 9% sucrose) and 2% cholesterol (Research Diets, Inc., #D09100310), for 44 weeks prior to treatment with TVB-3664, and during treatment. Blood samples were collected in heparinized tubes and plasma separated and stored at -80 ̊C until analysis. TG, TC, ALT, AST were measured using commercial kits (Roche Diagnostics, Germany) on the Cobas TM C-501 autoanalyzer according to the manufacturer’s instructions. Liver IHC used standardized procedures. NAS scoring used the criteria outlined in Kleiner et al.28. Fibrosis was scored on the basis of 0 (none), 1 (perisinusoidal or periportal), 2 (perisinusoidal and portal/periportal), or 3 (bridging fibrosis). Statistical analysis used one-way ANOVA with Dunnett’s multiple comparison test to compare treated to vehicle. For change in histology score per animal, Fisher’s exact test followed by adjustment for multiple correction using the Bonferroni method.
Fibrosis and tumor (FAT)-NASH CCl4 model
Conducted by the Friedman group using 6-week old male C57BL/6J mice. This animal protocol was approved by the IACUC at the Icahn School of Medicine at Mount Sinai, NY (IACUC-2015-0112). The model has been previously described29. Mice were fed a diet designed to imitate a WD, containing 21.2% fat (42% Kcal), 41% sucrose and 1.25% cholesterol (Teklad Custom diet Cat# TD.120528, Envigo, WI), and access to sugar water solution (18.9 g/L d-(+)-Glucose (Sigma-Aldrich, MO) and 23.1 g/L d-(−)-Fructose (Sigma-Aldrich, MO), and once weekly CCl4 IP injection (0.2 µ/g) for 24 weeks. Mice were treated with either 3 mg/kg TVB-3664 or vehicle (PEG400) for the last 12 weeks, after developing NASH and hepatic fibrosis. Blood serum analysis, fibrogenic gene and protein expression, collagen quantification by Bioquant and NAFLD activity score (NAS) were analyzed as previously described29. Data analysis was accomplished by using GraphPad Prism v7.4 statistical software (GraphPad Software, Inc., CA). Standard error mean (± SEM) was calculated according to unpaired two tailed Mann–Whitney test where Gaussian distribution is non-parametric. Unless otherwise specified, p values < 0.05 were considered statistically significant.
AI-based SHG analysis was conducted by HistoIndex (Singapore) using established protocols as previously described38. Liver samples were from the same blocks as used for collagen quantification by routine histology. This AI-based approach uses two-photon excitation imaging coupled with second harmonic generation (SHG) imaging and identifies collagen and the surrounding structures directly from unstained tissue slides (formalin-fixed and paraffin-embedded)33,34.
Data availability
The datasets generated and analyzed in these studies are available from the corresponding author upon request.
References
Loomba, R., Friedman, S. L. & Shulman, G. I. Mechanisms and disease consequences of nonalcoholic fatty liver disease. Cell https://doi.org/10.1016/j.cell.2021.04.015 (2021).
Simon, T. G., Roelstraete, B., Khalili, H., Hagström, H. & Ludvigsson, J. F. Mortality in biopsy-confirmed nonalcoholic fatty liver disease: Results from a nationwide cohort. Gut https://doi.org/10.1136/gutjnl-2020-322786 (2021).
Angulo, P. et al. Liver fibrosis, but no other histologic features, is associated with long-term outcomes of patients with nonalcoholic fatty liver disease. Gastroenterology https://doi.org/10.1053/j.gastro.2015.04.043 (2015).
Sanyal, A. J. et al. Prospective study of outcomes in adults with nonalcoholic fatty liver disease. N. Engl. J. Med. 385(17), 1559–1569. https://doi.org/10.1056/NEJMoa2029349 (2021).
Lambert, J. E., Ramos-Roman, M. A., Browning, J. D. & Parks, E. J. Increased de novo lipogenesis is a distinct characteristic of individuals with nonalcoholic fatty liver disease. Gastroenterology https://doi.org/10.1053/j.gastro.2013.11.049 (2014).
Donnelly, K. L. et al. Sources of fatty acids stored in liver and secreted via lipoproteins in patients with nonalcoholic fatty liver disease. J. Clin. Investig. https://doi.org/10.1172/jci200523621 (2005).
Mitsuyoshi, H. et al. Analysis of hepatic genes involved in the metabolism of fatty acids and iron in nonalcoholic fatty liver disease. Hepatol. Res. https://doi.org/10.1111/j.1872-034X.2008.00464 (2009).
Bates, J. et al. Acetyl-CoA carboxylase inhibition disrupts metabolic reprogramming during hepatic stellate cell activation. J. Hepatol. https://doi.org/10.1016/j.jhep.2020.04.037 (2020).
Ross, T. T. et al. Acetyl-CoA carboxylase inhibition improves multiple dimensions of NASH pathogenesis in model systems. CMGH. https://doi.org/10.1016/j.jcmgh.2020.06.001 (2020).
Tsuchida, T. & Friedman, S. L. Mechanisms of hepatic stellate cell activation. Nat. Rev. Gastroenterol. Hepatol. https://doi.org/10.1038/nrgastro.2017.38 (2017).
Xu, L. et al. Human hepatic stellate cell lines, LX-1 and LX-2: New tools for analysis of hepatic fibrosis. Gut https://doi.org/10.1136/gut.2004.042127 (2005).
Bhattacharya, D. et al. Aramchol downregulates stearoyl CoA-desaturase 1 in hepatic stellate cells to attenuate cellular fibrogenesis. JHEP Rep. https://doi.org/10.1016/j.jhepr.2021.100237 (2021).
Hajduch, E., Lachkar, F., Ferré, P. & Foufelle, F. Roles of ceramides in non-alcoholic fatty liver disease. J. Clin. Med. https://doi.org/10.3390/jcm10040792 (2021).
Chiang, J. Y. L. Targeting bile acids and lipotoxicity for NASH treatment. Hepatol. Commun. https://doi.org/10.1002/hep4.1127 (2017).
Yki-Järvinen, H. Ceramides: A cause of insulin resistance in nonalcoholic fatty liver disease in both murine models and humans. Hepatology https://doi.org/10.1002/hep.31095 (2020).
Samuel, V. T. & Shulman, G. I. Nonalcoholic fatty liver disease, insulin resistance, and ceramides. N. Engl. J. Med. https://doi.org/10.1056/nejmcibr1910023 (2019).
Pagadala, M., Kasumov, T., McCullough, A. J., Zein, N. N. & Kirwan, J. P. Role of ceramides in nonalcoholic fatty liver disease. Trends Endocrinol. Metab. https://doi.org/10.1016/j.tem.2012.04.005 (2012).
Snodgrass, R. G. et al. Hypoxia potentiates palmitate-induced pro-inflammatory activation of primary human macrophages. J. Biol. Chem. https://doi.org/10.1074/jbc.M115.686709 (2016).
Dong, Z. et al. Palmitic acid stimulates NLRP3 inflammasome activation through TLR4-NF-κB signal pathway in hepatic stellate cells. Ann. Transl. Med. https://doi.org/10.21037/atm.2020.02.21 (2020).
Ogawa, Y. et al. Palmitate-induced lipotoxicity is crucial for the pathogenesis of nonalcoholic fatty liver disease in cooperation with gut-derived endotoxin. Sci. Rep. https://doi.org/10.1038/s41598-018-29735-6 (2018).
Berod, L. et al. De novo fatty acid synthesis controls the fate between regulatory T and T helper 17 cells. Nat. Med. https://doi.org/10.1038/nm.3704 (2014).
Young, K. E., Flaherty, S., Woodman, K. M., Sharma-Walia, N. & Reynolds, J. M. Fatty acid synthase regulates the pathogenicity of Th17 cells. J. Leukoc. Biol. https://doi.org/10.1189/jlb.3ab0417-159rr (2017).
Buckley, D. et al. Fatty acid synthase—Modern tumor cell biology insights into a classical oncology target. Pharmacol. Ther. 177, 23–31. https://doi.org/10.1016/j.pharmthera.2017.02.021 (2017) (Epub 2017 Feb 12 PMID: 28202364).
Loomba, R. et al. TVB-2640 (FASN inhibitor) for the treatment of nonalcoholic steatohepatitis: FASCINATE-1, a randomized, placebo-controlled phase 2a trial. Gastroenterology https://doi.org/10.1053/j.gastro.2021.07.025 (2021).
Ventura, R. et al. Inhibition of de novo palmitate synthesis by fatty acid synthase induces apoptosis in tumor cells by remodeling cell membranes, inhibiting signaling pathways, and reprogramming gene expression. EBioMedicine https://doi.org/10.1016/j.ebiom.2015.06.020 (2015).
Heuer, T. S. et al. FASN inhibition and taxane treatment combine to enhance anti-tumor efficacy in diverse xenograft tumor models through disruption of tubulin palmitoylation and microtubule organization and FASN inhibition-mediated effects on oncogenic signaling and gene expression. EBioMedicine https://doi.org/10.1016/j.ebiom.2016.12.012 (2017).
Ströbel, S. et al. A 3D primary human cell-based in vitro model of non-alcoholic steatohepatitis for efficacy testing of clinical drug candidates. Sci. Rep. https://doi.org/10.21203/rs.3.rs-737717/v1 (2021).
Kleiner, D. E. et al. Nonalcoholic Steatohepatitis Clinical Research Network. Design and validation of a histological scoring system for nonalcoholic fatty liver disease. Hepatology 41, 1313–1321. https://doi.org/10.1002/hep.20701 (2005).
Bhattacharya, D. et al. Repositioning of a novel GABA-B receptor agonist, AZD3355 (Lesogaberan), for the treatment of non-alcoholic steatohepatitis. Sci. Rep. 11(1), 20827. https://doi.org/10.1038/s41598-021-99008-2 (2021).
Syed-Abdul, M. M. et al. Fatty acid synthase inhibitor TVB-2640 reduces hepatic de novo lipogenesis in males with metabolic abnormalities. Hepatology https://doi.org/10.1002/hep.31000 (2020).
Inzaugarat, M. E. et al. NLR family pyrin domain-containing 3 inflammasome activation in hepatic stellate cells induces liver fibrosis in mice. Hepatology https://doi.org/10.1002/hep.30252 (2019).
Kim, C. W. et al. Acetyl CoA carboxylase inhibition reduces hepatic steatosis but elevates plasma triglycerides in mice and humans: A bedside to bench investigation. Cell Metab. https://doi.org/10.1016/j.cmet.2017.07.009 (2017).
Loomba, R. et al. GS-0976 Reduces Hepatic Steatosis and Fibrosis Markers in Patients With Nonalcoholic Fatty Liver Disease. Gastroenterology. 155(5), 1463–1473. https://doi.org/10.1053/j.gastro.2018.07.027 (2018).
Calle, R. A. et al. ACC inhibitor alone or co-administered with a DGAT2 inhibitor in patients with non-alcoholic fatty liver disease: two parallel, placebo-controlled, randomized phase 2a trials. Nat Med. 27(10), 1836–1848. https://doi.org/10.1038/s41591-021-01489-12021 (2021).
Wang, H. et al. Therapeutic Efficacy of FASN inhibition in preclinical models of HCC. Hepatology https://doi.org/10.1002/hep.32359 (2022). In press.
Falchook, G. et al. First-in-human study of the safety, pharmacokinetics, and pharmacodynamics of first-in-class fatty acid synthase inhibitor TVB-2640 alone and with a taxane in advanced tumors. EClinicalMedicine. 30(34), 100797. https://doi.org/10.1016/j.eclinm.2021.100797 (2021).
Chung, C. C. et al. A fluorescence-based thiol quantification assay for ultra-high-throughput screening for inhibitors of coenzyme A production. Assay Drug Dev. Technol. 6(3), 361–374. https://doi.org/10.1089/adt.2007.105 (2008).
Chang, P. E. et al. Second harmonic generation microscopy provides accurate automated staging of liver fibrosis in patients with non-alcoholic fatty liver disease. PLoS ONE https://doi.org/10.1371/journal.pone.0199166 (2018).
Acknowledgements
We would like to thank Sue Grepper, Eva Thoma and Manuela Bieri at InSphero for their work on the LMT model, Michael Feigh and colleagues at Gubra for their work on the NASH mouse model, and Alvin Leong at HistoIndex for the SHG analysis. We are grateful to William McCulloch and Wen-Wei Tsai for review of the manuscript. We dedicate this manuscript to the memory of our great friend and colleague Greg Duke, formerly the Senior Director of Research at 3V Biosciences. Greg was a superbly talented and versatile scientist who explored the role of FASN in NASH and infectious disease and is sadly missed.
Funding
This study was funded by Sagimet provided funding for this work and NIH funding (Grant number 1 R01 DK128289).
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Contributions
D.Bh. performed the experiments on stellate cells and the mouse FAT-NASH model under the guidance of S.F. G.D., D.Bu. and G.K. designed and managed mouse NASH models. R.C. performed primary cell monocyte and T cell experiments with guidance from G.D. and D.Bu. M.O.F. designed and managed studies conducted by InSphero on the LMT model. M.O.F. wrote the main manuscript text with contributions from G.K., E.M., S.F., D.Bh. and R.C. Figures were prepared by M.O.F. (Figs. 1a, 2a, 3, 4b), DBh (Figs. 1b–e, 3, 4a,c,d), RC (Fig. 1f,g, 2b–d) and R.C. prepared the figures. E.B. and G.K. advised on manuscript content. All authors reviewed the manuscript except for G.D. (deceased).
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MOF, GK, DBu, GD, EB, RC and SF are/were employees or consultants of Sagimet Biosciences. DBh does not have competing interests. SF has the following additional disclosures, not considered conflicts; Consulting: 89 Bio, Amgen, Axcella Health, Blade Therapeutics, Bristol Myers Squibb, Can-Fite Biopharma, ChemomAb, Escient Pharmaceuticals, Forbion, Foresite laboratories, Galmed, Gordian Biotechnology, Glycotest, Glympse Bio, Hepgene, In sitro, Morphic Therapeutics, North Sea Therapeutics, Novartis, Ono Pharmaceuticals, Pfizer Pharmaceuticals, Scholar Rock, Surrozen. Stock options: Blade Therapeutics, Escient, Galectin Galmed, Genfit, Glympse, Hepgene, Lifemax, Metacrine, Morphic Therapeutics, Nimbus, North Sea, Therapeutics, Scholar Rock. Research Activities with Commercial Entities): Morphic Therapeutics Novo Nordisk Abalone Bio (SBIR Grant), Galmed.
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O’Farrell, M., Duke, G., Crowley, R. et al. FASN inhibition targets multiple drivers of NASH by reducing steatosis, inflammation and fibrosis in preclinical models. Sci Rep 12, 15661 (2022). https://doi.org/10.1038/s41598-022-19459-z
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DOI: https://doi.org/10.1038/s41598-022-19459-z
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