Abstract
Background
Nonalcoholic fatty liver disease/steatohepatitis (NAFLD/NASH) is a chronic liver disease related to metabolic syndrome that can progress to liver cirrhosis. The involvement of the endoplasmic reticulum (ER) stress response in NAFLD progression and the roles played by activating factor 3 (ATF3) and the downstream nuclear protein 1 (NUPR1) are poorly understood. The aim of this study was to determine the gene expression profiles around the ATF3/NUPR1 axis in relation to the development of NAFLD using novel mouse models.
Methods
Fatty liver Shionogi (FLS) mice (n = 12) as a NAFLD model and FLS-ob/ob mice (n = 28) as a NASH model were fed a standard diet. The FLS mice were sacrificed at 24 weeks of age as a control, whereas the FLS-ob/ob mice were sacrificed at 24, 36, and 48 weeks of age. Hepatic steatosis, inflammation, and fibrosis were evaluated by biochemical, histological, and gene expression analyses. The expression levels of the ER-stress related genes Jun proto-oncogene (C-jun), Atf3, Nupr1, and C/EBP homologous protein (Chop) were measured in liver tissue. Apoptosis was evaluated by terminal deoxynucleotidyl transferase dUTP nick end labeling (TUNEL) staining.
Results
Control mice demonstrated hepatic steatosis alone without apparent fibrosis. On the other hand, FLS-ob/ob mice showed severe steatohepatitis at both 24 and 36 weeks of age and severe fibrosis at both 36 and 48 weeks of age. The expression levels of Atf3, Nupr-1, and C-jun significantly increased from 24 to 48 weeks of age in FLS-ob/ob mice compared with control mice. The expression level of Chop was already high in FLS mice and maintained similar levels in FLS-ob/ob mice; the expression level was consistent with the percentage of TUNEL-positive cells.
Conclusion
The ATF3/NUPR1 axis plays a pivotal role in NASH progression in association with C-jun and Chop and appears to induce apoptosis from early steatosis in the NASH model mice.
Keywords: endoplasmic reticulum stress, mouse model, nonalcoholic fatty liver disease, nonalcoholic steatohepatitis
Nonalcoholic fatty liver disease (NAFLD) has emerged as a common public health problem in recent decades. The prevalence of NAFLD ranges from 30% to 46% in Western countries1 and is increasing in the Asia-Pacific region.2 Although the underlying mechanisms leading to the development of NAFLD have been discovered through the efforts of researchers, they are not fully understood.3, 4
The mechanism of endoplasmic reticulum (ER) stress was unveiled by Kazutoshi Mori and Peter Walter in the 1990s.5, 6 ER stress is activated to regulate protein synthesis and restore homeostatic equilibrium when the cell is stressed due to the accumulation of unfolded or misfolded proteins. However, delayed or insufficient responses to ER stress turn physiological mechanisms into pathological consequences, including fat accumulation, insulin resistance, inflammation, and apoptosis. Through their remarkable contributions to this field, many researchers have elucidated that ER stress induces various types of diseases.7 Some studies have also demonstrated that obesity induces ER stress and that ER stress plays a pivotal role in both the development of steatosis and the progression to steatohepatitis.8, 9 Therefore, understanding of the role of ER stress in the pathogenesis of NAFLD has become a topic of intense investigation.10
Under a chronic imbalance between energy supply and demand in fatty liver, toxic lipids activate cellular stress pathways. The accumulation of unfolded or misfolded proteins in the ER usually triggers an adaptive response aimed at resolving ER stress, the unfolded protein response (UPR). The UPR is mediated by at least three different stress-sensing pathways, including pancreatic ER kinase (PERK), inositol-requiring enzyme 1, and activating transcription factor 6 (ATF6).11
Among the ATF family members, ATF4 is downstream of PERK and eukaryotic initiation factor 2 alpha.12 ATF3 is also a downstream target of ATF4 and acts as a hub of the cellular adaptive-response network.13 ATF4 activates the transcription factor nuclear protein 1 (NUPR1) (also known as p8/Com-1), which regulates the expression of metabolic stress-responsive genes, especially those involved in DNA repair and cell cycle regulation.14 Previous studies have indicated that ATF3 is highly expressed when the cells are exposed to stress signals.13, 15 NUPR1 is also considered one of the downstream genes of ATF3.16 The encoding gene, Nupr1, is overexpressed in the liver of NAFLD model mice on microarray analysis.17 However, the role of the ATF3/NUPR1 axis in NFLD progression is not known.
We have previously reported that the fatty liver Shionogi (FLS) mouse and FLS-ob/ob mouse are good models for NASH study.18 FLS mice show hypertriglyceridemia from birth and develop chronic fatty liver (hepatic steatosis) without obesity under normal conditions. The hypertriglyceridemia and the fatty liver in the FLS mice is assumed to be caused by a decreased level of Apo-CII and increased level of Apo-CIII in plasma.19 In addition, FLS-ob/ob mice show hyperphagia, obesity, hyperlipidemia, and diabetes mellitus and have histologically proven severe liver steatosis and fibrosis. Interestingly, FLS mice and FLS-ob/ob mice also develop liver cancer at 36 and 48 weeks of age.18, 20 NUPR1 has been reported to be related to liver cancer as well.21, 22 Determination of the role of NUPR1 in NAFLD progression could additionally shed light on carcinogenesis in NASH. For these reasons, we focused on the role of the ATF3/NUPR1 axis in ER stress.
In this study, we aimed to determine the gene expression profiles around the ATF3/NUPR1 axis during the development of NAFLD using these novel mouse NAFLD/NASH models.
MATERIALS AND METHODS
Animals
Male FLS (n = 12) and FLS-ob/ob (n = 28) mice were obtained from Shionogi Research Laboratories (Shiga, Japan). The animals were housed in a room maintained at a controlled temperature of 24 ± 2 °C under a 12-h light-dark cycle. Animals were allowed ad libitum access to standard pellet chow and water. All experiments were carried out in accordance with the Animal Experimentation Guidelines of Tottori University. At 24, 36, and 48 weeks, the animals were killed under pentobarbital anesthesia and blood was collected from the right ventricle. The animal numbers in the various experimental groups were as follows: 12 in the 24-week-old FLS mouse group, 9 in the 24-week-old FLS-ob/ob mouse group, 10 in the 36-week-old FLS-ob/ob mouse group, and 9 in the 48-week-old FLS-ob/ob mouse group. FLS mice of the 24-week-old group were defined as the control simple steatosis model. Plasma samples were frozen and stored at –80 °C. The liver and visceral fat were also collected, weighed, immediately frozen in liquid nitrogen, and stored at –80 °C. Liver specimens were fixed in 10% buffered formalin and embedded in paraffin for histological analysis.
Biochemical analyses
Blood samples were immediately separated via centrifugation at 2000 × g for 15 min and stored at –80 °C until further assay. Serum samples were analyzed to determine the levels of alanine aminotransferase (ALT), triglyceride (TG), and total cholesterol.
Histological analysis
Sections (4 μm thick) of formalin-fixed, paraffin-embedded liver were stained with Sirius red and hematoxylin and eosin. The areas of hepatic fibrosis and of lipid droplets were measured in five randomly selected fields/section (magnification ×100) for each specimen using Win ROOF version 5.71 (Mitsutani Co., Tokyo, Japan).
Terminal deoxynucleotidyl transferase dUTP nick end labeling staining
A fluorescent terminal deoxynucleotidyl transferase dUTP nick end labeling (TUNEL) assay (In Situ Cell Death Detection Kit; Roche, Basel, Switzerland) was used on tissue sections. Sections were paraformaldehyde-fixed and hydrated. We randomly selected five representative slides from each group. The TUNEL assay was then performed according to the manufacturer’s protocol. Staining for negative controls was performed without enzyme on the slides of control mice and FLS-ob/ob mice at 24 weeks of age. Slides were mounted with ProLong Antifade (Invitrogen–Molecular Probes, Carlsbad, CA) containing 4’,6-diamidino-2-phenylindole (DAPI). The slides were analyzed using a fluorescent microscope (BZ-X710; Keyence, Osaka, Japan). Dead cells were quantified by counting TUNEL-positive nuclei in 10 random microscopic fields (×20).
Hepatic cholesterol content analysis
Snap-frozen liver (50 mg) was homogenized and extracted using a chloroform-methanol (2:1 v/v) mixture. Then, the organic phase was dried and solubilized in 2-propanol containing 10% Triton X-100. Total cholesterol was determined using commercial enzymatic kits (Cholesterol E-test; Wako Pure Chemical Industries, Osaka, Japan).
RNA extraction and reverse transcription
Tissue samples were homogenized, and total RNA was extracted using an RNeasy Mini Kit (Qiagen, Hilden, Germany). RNA concentration was determined by the absorbance at 260 nm, and the RNA quality was verified by electrophoresis on ethidium bromide-stained 1% agarose gels. Total RNA (~2 μg) was then reverse-transcribed in a final volume of 11.5 μL containing 4 μL of 5× standard buffer, 2 μL of 0.1 M dithiothreitol, 1 μL of SuperScript II RNase H reverse transcriptase (Invitrogen), 2 μL of 10 M dNTPs (Promega, Madison, WI), 1 μL of 50 pmol/μL Random Primer (Promega), 0.5 μL of 100 pmol/μL Oligo (dt)15 Primer (Promega), and 1 μL of 40 U/μL ribonuclease inhibitor (Wako Pure Chemical Industries). Samples were then incubated at 37 °C for 60 min and 95 °C for 5 min and cooled to 4 °C for 5 min.
Quantitative polymerase chain reaction
Quantitative polymerase chain reaction (PCR) was performed in a final volume of 10 mL containing 250 nM of universal Probe Library probe (Roche), 900 nM of forward primer, 900 nM of reverse primer, 5 mL of EXPRESS qPCR Supermix with Premixed Rox (Invitrogen), and 2 mL of cDNA. A real-time RT-PCR analysis was performed with a 7900HT Fast Real-Time PCR System with SDS2.3 software (Applied Biosystems, Carlsbad, CA). Thermal cycle conditions were as follows: hold at 95 °C for 20 s, then 45 repeated cycles of 95 °C for 1 s and 60 °C for 20. All results were standardized to the levels of β-actin. The primers used for PCR were listed in Table 1.
Table 1.
Primer sequence (5’–3’) | |||
Gene | GenBank Accession no. | Forward | Reverse |
Tgfb1 | NM_011577 | TGGAGCAACATGTGGAACTC | GTCAGCAGCCGGTTACCA |
Col1a1 | NM_007742 | ACCTAAGGGTACCGCTGGA | TCCAGCTTCT CCATCTTTGC |
Timp1 | NM_001044384 | GCAAAGAGCTTTCTCAAAGACC | AGGGATAGATAAACAGGGAAACACT |
Tnfa | NM_013693 | CTGTAGCCCACGTCGTAGC | TTGAGATCCATGCCGTTG |
Srebp1 | NM_011480 | TCAAGCAGGAGAACCTGACC | TCATGCCCTCCATAGACACA |
Ppara | NM_011144 | CTGAGACCCTCGGGGAAC | AAACGTCAGTTCACAGGGAAG |
C-jun | NM_010591 | CCAGAAGATGGTGTGGTGTTT | CTGACCCTCTCCCCTTGC |
Atf3 | NM_007498 | GCAAAGCAGGATCCCACTAAT | CCACCCCACCTATCAAGGTA |
Nupr1 | NM_019738 | GAAGCTGCTGACCAAGTTCC | GTGTGGTGTCTGTGGTCTGG |
Chop | NM_007837 | GCGACAGAGCCAGAATAACA | GATGCACTTCCTTCTGGAACA |
β-actin | NM_007393 | GGATGCAGAAGGAGATTACTGC | CCACCGATCCACACAGAGTA |
Atf3, activating factor 3; Chop, C/EBP homologous protein; C-jun, jun proto-oncogene; Col1a1, collagen pro-alpha-1 type I chain; Nupr1, nuclear protein transcription regulator 1; Ppara, peroxisome proliferator-activated receptor-alpha; Srebp1, sterol regulatory element binding protein 1; Tgfb1, transforming growth factor beta 1; Timp1, tissue inhibitor of metalloproteinases-1; Tnfa, tumor necrosis factor-alpha.
Statistical analysis
The Mann-Whitney test was used to assess the statistical significance of differences between two groups. All statistical tests were performed using StatFlex (Windows ver. 6.0; Artech, Osaka, Japan). All values are expressed as the mean ± standard deviation. Values of P less than 0.05 were considered significant.
RESULTS
FLS-ob/ob mice mimic the human NASH phenotype
FLS-ob/ob mice gained body weight between 24 and 48 weeks of age (from 59 ± 4 g to 70 ± 5 g). Liver, fat weight, and the liver to body weight ratio also significantly increased in the FLS-ob/ob mice compared with the FLS mice. These findings are consistent with the hepatic TG content but not with the cholesterol content. Serum ALT and cholesterol levels were also significantly elevated in the FLS-ob/ob mice compared with the FLS mice. Serum cholesterol and TG levels were lower in FLS-ob/ob mice at 48 weeks of age than at 36 weeks of age (Table 2).
Table 2.
FLS-ob/ob | ||||
Control (n = 12) | 24 W (n = 9) | 36 W (n = 10) | 48 W (n = 9) | |
Body weight (g) | 44.28 ± 2.58** | 58.92 ± 3.84*†† ‡‡ | 66.25 ± 2.96*** | 70.24 ± 5.24 *** |
Liver weight (g) | 2.68 ± 0.56** | 7.88 ± 1.23* | 9.02 ± 1.52*‡‡ | 7.15 ± 1.65 *†† |
LW (g)/BW (g) | 0.075 ± 0.01** | 0.133 ± 0.015*‡‡ | 0.136 ± 0.019 *‡‡ | 0.101 ± 0.02***†† |
Fat weight (g) | 1.42 ± 0.09** | 2.28 ± 0.23*†† ‡‡ | 1.98 ± 0.17*‡‡ | 1.67 ± 0.34***†† |
Serum TG (mg/g) | 166.08 ± 46.98 | 195.56 ± 59.55 | 192.60 ± 39.54‡‡ | 161.63 ± 25.03†† |
Serum chol (mg/g) | 114.58 ± 25.65** | 300.22 ± 35.63*†† ‡‡ | 248.50 ± 38.08*‡‡ | 193.50 ± 37.09***†† |
Serum ALT (IU/L) | 71.58 ± 48.75** | 290.25±115.61* | 226.10 ± 51.42* | 227.25 ± 48.66* |
Liver TG (mg/g) | 353.05 ± 67.72**‡‡ | 425.93 ± 125.41*†† ‡‡ | 371.38 ± 46.38**‡‡ | 250.44 ± 72.02**†† |
Liver chol (mg/g) | 119.49 ± 25.82 | 111.08 ± 36.54 | 138.04 ± 32.53 | 114.63 ± 30.49 |
Data are expressed as the mean ± standard deviation. *P < 0.05 vs 24-week-old FLS mice, **P < 0.05 vs 24-week-old FLS-ob/ob mice, ††P < 0.05 vs 36-week-old FLS-ob/ob mice, ‡‡P < 0.05 vs 48-week-old FLS-ob/ob mice. ALT, alanine aminotransferase; BW, body weight; chol, cholesterol; FLS, fatty liver Shionogi; LW, liver weight; TG, triglyceride; W, weeks.
Histological examinations of liver sections also demonstrated significant steatosis at 24 and 36 weeks of age in the FLS-ob/ob mice compared with control mice (Figs. 1A–C). However, consistent with the serum lipid markers, steatosis was decreased at 48 weeks of age (Fig. 1D). The ratios of the lipid droplet areas in control, FLS-ob/ob mice at 24, 36, 48 weeks of age were 19.9 ± 4.6%, 38.7 ± 5.9%, 37.7 ± 6.7% and 29.7 ± 9.9%, respectively (Fig. 1E). Sirius red staining revealed that hepatic fibrosis significantly and progressively increased over time in FLS-ob/ob mice compared with control mice (Figs. 1F–G). At 48 weeks of age, the liver histology of the FLS-ob/ob mice showed cirrhosis (Fig. 1I). The area ratios of fibrosis in control, FLS-ob/ob mice at 24, 36, 48 weeks of age were 2.5 ± 0.5%, 3.6 ± 0.9%, 8.5 ± 3.4%, 10.2 ± 4.5%, respectively (Fig. 1J).
Inflammation- and fibrosis-associated gene expression is increased in the NASH model
The gene expression levels of tumor necrosis factor-alpha (Tnfa) significantly increased at 24 and 48 weeks of age in FLS-ob/ob mice compared with control mice (Fig. 2A). In response to inflammatory signaling, the expression levels of transforming growth factor beta 1 (Tgfb1) and collagen pro-alpha-1 type I chain (Col1a1), considered the strongest profibrogenic cytokines, and tissue inhibitor of metalloproteinases (Timp-1), which is related to the progression of fibrosis, also increased significantly and progressively at 24, 36, and 48 weeks compared with FLS mice (Figs. 2B–D).
Jun proto-oncogene (C-jun), Nupr1 and Atf3 expression increases according to NASH progression
C-jun expression also increased at 36 and 48 weeks of age in FLS-ob/ob mice (Fig. 3A). The expression levels of Nupr-1 and Atf3, which are ER stress-associated genes, were significantly increased at 24, 36 and 48 weeks of age in FLS-ob/ob mice compared with control mice, respectively (Figs. 3B and C). The expression level of C/EBP homologous protein (Chop) was already high in the control mice and maintained the same expression levels in FLS-ob/ob mice (Fig. 3D).
Apoptosis appears from the early stage of NAFLD and persists in NASH mice
The percentage of TUNEL-positive cells divided by DAPI-positive cells was already high in control mice, and it remained at similar levels in FLS-ob/ob mice (Fig. 4M).
Lipid metabolism-associated genes are decreased in the NASH model
Peroxisome proliferator-activated receptor-alpha (Ppara) expression decreased at 24 and 48 weeks of age in the FLS-ob/ob mice (Fig. 5A). In addition, sterol regulatory element-binding transcription factor 1 (Srebp1) expression was significantly decreased in FLS-ob/ob mice only at 48 weeks of age (Fig. 5B).
DISCUSSION
In this study, we showed that the expression levels of genes participating in the ATF3/NUPR1 axis were progressively elevated and suggested to induce apoptosis from an early phase of steatosis in the NASH model mice.
As we expected, FLS-ob/ob mice biochemically and histologically showed significant steatohepatitis and fibrosis compared with control mice. The gene expression of Tnfa significantly increased according to NASH progression. The proinflammatory cytokine TNF-α is considered an important mediator of insulin resistance in obesity.23 TNF-α activates the transcription of inflammatory genes via nuclear factor kappa B and activator protein-1 (AP-1) and also increases the expression of Tgfb1 and Timp1 in hepatocytes.24, 25 These results are also consistent with our findings.
Atf3, Nupr1, and C-jun were highly expressed in our NASH model mice. A variety of subunits, including C-jun, ATF2, and ATF3, dimerize with AP-1.26 Investigation of vascular endothelial cells has revealed that TNF-α-mediated induction of ATF3 mRNA is regulated by the c-Jun NH2-terminal kinase (JNK).27 JNK regulates gene expression through the phosphorylation and activation of a downstream transcription factor c-Jun. Research into systemic sclerosis showed that ATF3 plays a role in fibrosis through the regulation of TGF-β signaling.28 These gene expressions imply that TNF-α, ATF3, and c-Jun are closely linked and may dimerize with AP-1 and that they can also activate inflammatory and profibrotic gene transcription in NASH model mice.
NUPR1, a small 82-amino acid polypeptide, was first described as a gene strongly induced in pancreatic acinar cells during the acute phase of pancreatitis.29 It is involved in the stress response and in cancer progression.30 In the liver, NUPR1 has been shown to be an important element in the hepatocyte stress response after hepatic injury by CCl4.31 The authors indicated that the activation of NUPR1 allows rapid downregulation of CYP2E1 expression and consequently the extent of the liver injury. Therefore, NUPR1 seems to protect against such liver damage. However, its role in NAFLD/NASH is still not known. NUPR1 is also a positive feedback regulator of ATF4-dependent transcription.32 This means that NUPR1 additionally controls the target genes of ATF4, including CHOP. CHOP induces apoptosis as a component of the terminal UPR. In our study, the gene expression of Chop was already high in control mice and was at similar levels in NASH model mice. The TUNEL staining results seemed consistent with the Chop expression. Cells lacking ATF4 do not appear to express ATF3 or CHOP.33 We can speculate that ATF4 which exists at the upstream is necessary for the expression of the ATF3/NUPR1 axis and CHOP, and that these proteins interact. The apoptotic signal induced by CHOP through ATF4 in relation to the ATF3/NUPR1 axis seems to participate in the very early phase of NAFLD. However, another study using whole-body and tissue-specific ATF4-knockout mice demonstrated that ATF6 could also up-regulate CHOP expression independent of the PERK pathway.34 It remains a matter of speculation because we did not evaluate ATF6, but ATF6 might also be involved in Chop expression in such an early phase.
In this study, we also analyzed the gene expression levels of the transcription factors involved in lipid metabolism regulation, Ppara and Srebp1. Ppara and Srebp1 encode PPAR-α and sterol regulatory element-binding protein (SREBP)-1c, respectively. The expression levels of Ppara were significantly decreased in the NASH model. PPAR-α expression is enriched in hepatocytes, and it acts as a protective transcription factor in the liver, decreasing hepatocyte apoptosis in the acute liver failure mice model, particularly through the regulation of ER stress.35 It is also considered a therapeutic target.36 Therefore, the suppression of PPAR-α by ER stress diminishes its protective effect and may promote NASH. On the other hand, ER stress induces cleavage of SREBP-1c and insulin resistance.37 Results from a previous human study suggest that hepatic overexpression of TNF-α is associated with downregulation of SREBP-1c and the development of burnt-out NASH.38 In the present study, the encoding gene Srebp1 was also significantly decreased in the NASH model. Additionally, it has been reported that Srebp1 levels are lower in FLS mice than in B6 mice at 48 weeks of age.39 Therefore, it can also be speculated that SREBP-1c plays a role in the early stage of NAFLD and not in NASH.
Taking all gene expression results together, it is assumed that, in the early stage of NAFLD, excess toxic lipid generated by SREBP-1c induces inflammation through TNF-α and ER stress mediated through the ATF3 and NUPR-1 axis and that an excessive ER stress response ameliorates the protective effect of PPAR-α. This explains the apoptosis and accelerated fibrosis evident in the NASH mouse model (Fig. 6).
Our study has two main limitations. First, we only evaluated gene expressions and therefore could not discuss the phosphorylation status of each protein associated with the ATF3/NUPR1 axis. Second, we did not use a knockout system for Atf3 and Nupr1 and therefore could not precisely unravel the connection among each factor around the axis. Further study is necessary to determine the contribution of the ATF3/NUPR1 axis to NASH progression and carcinogenesis.
In conclusion, we showed that the ATF3/NUPR1 axis plays a pivotal role, in association with Tnfa, C-jun, Ppara, Srebp1, and Chop, in NASH progression.
Acknowledgments
Acknowledgments: We would like to thank Eiji Nanba from the Division of Functional Genomics, Research Center for Bioscience and Technology at Tottori University for his expert technical assistance.
This study was supported by a JSPS KAKENHI Grant-in-Aid for Young Scientists (B), Grant Number JP16K19343.
The authors declare no conflict of interest.
REFERENCES
- 1. Vernon G, Baranova A, Younossi ZM. Systematic review: the epidemiology and natural history of non–alcoholic fatty liver disease and non-alcoholic steatohepatitis in adults. Aliment Pharmacol Ther. 2011;34:274-85. [DOI] [PubMed] [Google Scholar]
- 2. Liu CJ. Prevalence and risk factors for non-alcoholic fatty liver disease in Asian people who are not obese. J Gastroenterol Hepatol. 2012;27:1555-60. [DOI] [PubMed] [Google Scholar]
- 3. Berlanga A, Guiu-Jurado E, Porras JA, Auguet T. Molecular pathways in non-alcoholic fatty liver disease. Clin Exp Gastroenterol. 2014;7:221-39. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Buzzetti E, Pinzani M, Tsochatzis EA. The multiple-hit pathogenesis of non-alcoholic fatty liver disease (NAFLD). Metabolism. 2016;65:1038-48. [DOI] [PubMed] [Google Scholar]
- 5. Williams CL. Kazutoshi Mori and Peter Walter receive the 2014 Albert Lasker Basic Medical Research Award. J Clin Invest. 2014;124:4138-42. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Mori K, Nagata S. The unfolded protein response: the dawn of a new field. Proc Jpn Acad Ser B Phys Biol Sci. 2015;91:469-80. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Yoshida H, Yoshida CH. ER stress and diseases. FEBS J. 2007;274:630-58. [DOI] [PubMed] [Google Scholar]
- 8. Pagliassotti MJ, Kim PY, Estrada AL, Stewart CM, Gentile CL. Endoplasmic Reticulum Stress in Obesity and Obesity-Related Disorders: An Expanded View. Metabolism. 2016;65:1238-46. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Malhi H, Kaufman RJ. Endoplasmic reticulum stress in liver disease. J Hepatol. 2011;54:795-809. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Lebeaupin C, Vallée D, Hazari Y, Hetz C, Chevet E, Bailly-Maitre B. Endoplasmic reticulum stress signalling and the pathogenesis of non-alcoholic fatty liver disease. J Hepatol. 2018;69:927-947. [DOI] [PubMed] [Google Scholar]
- 11. Zhang XQ, Xu CF, Yu CH, Chen WX, Li YM. Role of endoplasmic reticulum stress in the pathogenesis of nonalcoholic fatty liver disease. World J Gastroenterol. 2014;20:1768. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Harding HP, Novoa I, Zhang Y, Zeng H, Wek R, Schapira M, et al. Regulated Translation Initiation Controls Stress-Induced Gene Expression in Mammalian Cells. Mol Cell. 2000;6:1099-108. [DOI] [PubMed] [Google Scholar]
- 13. Hai T, Wolford CC, Chang Y-S. ATF3, a hub of the cellular adaptive-response network, in the pathogenesis of diseases: is modulation of inflammation a unifying component?. Gene Expr. 2010;15:1-11. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Pakos-Zebrucka K, Koryga I, Mnich K, Ljujic M, Samali A, Gorman AM. The integrated stress response. EMBO Rep. 2016;17:1374-95. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Hai T, Wolfgang CD, Marsee DK, Allen AE, Sivaprasad U. ATF3 and stress responses. Gene Expr. 1999;7:321-35. [PMC free article] [PubMed] [Google Scholar]
- 16. Chen G, Liu C, Xue Y, Mao X, Xu K, Liu C. Molecular mechanism of pancreatic b-cell adaptive proliferation: studies during pregnancy in rats and in vitro. Endocrine. 2011;39:118-27. [DOI] [PubMed] [Google Scholar]
- 17. Wang C, Tao Q, Wang X, Wang X, Zhang X, et al. Impact of high-fat diet on liver genes expression profiles in mice model of nonalcoholic fatty liver disease. Environ Toxicol Pharmacol. 2016;45:52-62. [DOI] [PubMed] [Google Scholar]
- 18. Sugihara T, Koda M, Kishina M, Kato J, Tokunaga S, Matono T, et al. Fatty liver Shionogi- ob/ob mouse: A new candidate for a non-alcoholic steatohepatitis model. Hepatol Res. 2013;43:547-56. [DOI] [PubMed] [Google Scholar]
- 19. Takahashi M, Saibara T, Nemoto Y, Ono M, Akisawa N, Iwasaki S, et al. A Novel Type Hypertriglyceridemia Observed in FLS Mice. Lipids. 2003;38:687-92. [DOI] [PubMed] [Google Scholar]
- 20. Soga M, Kishimoto Y, Kawamura Y, Inagaki S, Makino S, Saibara T, et al. Spontaneous development of hepatocellular carcinomas in the FLS mice with hereditary fatty liver. Cancer Lett. 2003;196:43-8. [DOI] [PubMed] [Google Scholar]
- 21. Lee YK, Jee BA, Kwon SM, Yoon YS, Xu WG, Wang HJ, et al. Identification of a Mitochondrial Defect Gene Signature Reveals NUPR1 as a Key Regulator of Liver Cancer Progression. Hepatology. 2015;62:1174-89. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. Emma MR, Iovanna JL, Bachvarov D, Puleio R, Loria GR, Augello G, et al. NUPR1, a new target in liver cancer: implication in controlling cell growth, migration, invasion and sorafenib resistance. Cell Death Dis. 2016;7:e2269. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23. Hotamisligil GS, Uysal KT, Wiesbrock SM, Marino MW. Protection from obesity-induced insulin resistance in mice lacking TNF-α function. Nature. 1997;389:610-4. [DOI] [PubMed] [Google Scholar]
- 24. Locksley RM, Killeen N, Lenardo MJ. The TNF and TNF Receptor Review Superfamilies: Integrating Mammalian Biology. Cell. 2001;104:487-501. [DOI] [PubMed] [Google Scholar]
- 25. Kakino S, Ohki T, Nakayama H, Yuan X, Otabe S, Hashinaga T, et al. Pivotal Role of TNF-α in the Development and Progression of Nonalcoholic Fatty Liver Disease in a Murine Model. Horm Metab Res. 2018;50:80-7. [DOI] [PubMed] [Google Scholar]
- 26. Van Dam H, Castellazzi M. Distinct roles of Jun : Fos and Jun : ATF dimers in oncogenesis. Oncogene. 2001;20:2453-64. [DOI] [PubMed] [Google Scholar]
- 27. Inoue K, Zama T, Kamimoto T, Aoki R, Ikeda Y, Kimura H, et al. TNFα-induced ATF3 expression is bidirectionally regulated by the JNK and ERK pathways in vascular endothelial cells. Genes Cells. 2004;9:59-70. [DOI] [PubMed] [Google Scholar]
- 28. Mallano T, Palumbo-Zerr K, Zerr P, Ramming A, Zeller B, Beyer C, et al. Activating transcription factor 3 regulates canonical TGFβ signalling in systemic sclerosis. Ann Rheum Dis. 2016;75:586-92. [DOI] [PubMed] [Google Scholar]
- 29. Mallo G V, Fiedler F, Calvo EL, Ortiz EM, Vasseur S, Keim V, et al. Cloning and expression of the rat p8 cDNA, a new gene activated in pancreas during the acute phase of pancreatitis, pancreatic development, and regeneration, and which promotes cellular growth. J Biol Chem. 1997;272:32360-9. [DOI] [PubMed] [Google Scholar]
- 30. Goruppi S, Iovanna JL. Stress-inducible protein p8 is involved in several physiological and pathological processes. J Biol Chem. 2010;285:1577-81. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31. Taïeb D, Malicet C, Garcia S, Rocchi P, Arnaud C, Dagorn J-C, et al. Inactivation of stress protein p8 increases murine carbon tetrachloride hepatotoxicity via preserved CYP2E1 activity. Hepatology. 2005;42:176-82. [DOI] [PubMed] [Google Scholar]
- 32. Jin H-O, Seo S-K, Woo S-H, Choe T-B, Hong S-I, Kim J-I, et al. Nuclear Protein 1 Induced by ATF4 in Response to Various Stressors Acts as a Positive Regulator on the Transcriptional Activation of ATF4. IUBMB Life. 2009;61:1153-8. [DOI] [PubMed] [Google Scholar]
- 33. Jiang H-Y, Wek SA, McGrath BC, Lu D, Hai T, Harding HP, et al. Activating transcription factor 3 is integral to the eukaryotic initiation factor 2 kinase stress response. Mol Cell Biol. 2004;24:1365-77. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34. Fusakio ME, Willy JA, Wang Y, Mirek ET, Al Baghdadi RJT, Adams CM, et al. Transcription factor ATF4 directs basal and stress-induced gene expression in the unfolded protein response and cholesterol metabolism in the liver. Mol Biol Cell. 2016;27:1536-51. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35. Zhang L, Ren F, Zhang X, Wang X, Shi H, Zhou L, et al. Peroxisome proliferator-activated receptor alpha acts as a mediator of endoplasmic reticulum stress-induced hepatocyte apoptosis in acute liver failure. Dis Model Mech. 2016;9:799-809. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36. Honda Y, Kessoku T, Ogawa Y, Tomeno W, Imajo K, Fujita K, et al. Pemafibrate, a novel selective peroxisome proliferator- activated receptor alpha modulator, improves the pathogenesis in a rodent model of nonalcoholic steatohepatitis. Sci Rep. 2017;7:42477. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37. Ferr P, Foufelle F. Hepatic steatosis: a role for de novo lipogenesis and the transcription factor SREBP–1c. Diabetes Obes Metab. 2010;12:83-92. [DOI] [PubMed] [Google Scholar]
- 38. Nagaya T, Tanaka N, Suzuki T, Sano K, Horiuchi A, Komatsu M, et al. Down-regulation of SREBP–1c is associated with the development of burned-out NASH. J Hepatol. 2010;53:724-31. [DOI] [PubMed] [Google Scholar]
- 39. Shindo N, Fujisawa T, Sugimoto K, Nojima K, Oze-Fukai A, Yoshikawa Y, et al. Involvement of microsomal triglyceride transfer protein in nonalcoholic steatohepatitis in novel spontaneous mouse model. J Hepatol. 2010;52:903-12. [DOI] [PubMed] [Google Scholar]