Non-alcoholic fatty liver disease--a chronic disease of the 21st century

Peter Metrakos, Tommy Nilsson

Journal of Biomedical Research ›› 2018, Vol. 32 ›› Issue (5) : 327-335.

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Journal of Biomedical Research ›› 2018, Vol. 32 ›› Issue (5) : 327-335. DOI: 10.7555/JBR.31.20160153
Review Article
Review Article

Non-alcoholic fatty liver disease--a chronic disease of the 21st century

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Abstract

Non-alcoholic fatty liver disease (NAFLD) comprises a spectrum of metabolic states ranging from simple steatosis to inflammation with associated fibrosis to cirrhosis. Though accumulation of hepatic fat is not associated with a significant increase in mortality rates, hepatic inflammation is, as this augments the risk of terminal liver disease, i.e., cirrhosis, hepatic decompensation (liver failure) and/or hepatocellular carcinoma. Disease progression is usually slow, over a decade or more and, for the most part, remains asymptomatic. Recent estimates suggest that the global prevalence of NAFLD is high, about one in four. In most cases, NAFLD overlaps with overweight, obesity, cardiovascular disease and the metabolic syndrome with numerous contributing parameters including a dysregulation of adipose tissue, insulin resistance, type 2 diabetes, changes in the gut microbiome, neuronal and hormonal dysregulation and metabolic stress. NAFLD is diagnosed incidentally, despite its high prevalence. Non-invasive imaging techniques have emerged, making it possible to determine degree of steatosis as well asfibrosis. Despite this, the benefit of routine diagnostics remains uncertain. A better understanding of the (molecular) pathogenesis of NAFLD is needed combined with long-term studies where benefits of treatment can be assessed to determine cost-benefit ratios. This review summarizes the current state of knowledge and possible areas of treatment.

Keywords

non-alcoholic fatty liver disease / pathogenesis / molecular mechanism / diagnostics / biomarker

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Peter Metrakos, Tommy Nilsson. Non-alcoholic fatty liver disease--a chronic disease of the 21st century. Journal of Biomedical Research, 2018, 32(5): 327‒335 https://doi.org/10.7555/JBR.31.20160153

1 Introduction

Age-related macular degeneration (AMD) is a chronic disorder characterized by gradual loss of central vision in the elderly[]. Clinically, early AMD is characterized by histopathologic features of drusen, which are extracellular lipofuscinoid deposits consisting of lipids and proteins (notably apolipoproteins and complements) present between retinal pigment epithelium (RPE) and choriocapillaris of the choroid. Often, early AMD is also associated with pigmentary changes but is largely asymptomatic. Advanced forms of AMD, on the other hand, are often symptomatic and characterized by neovascularization of endothelial cells from choriocapillaris of the choroid migrating toward and even cross the RPE into the retina, a symptom clinically termed "wet" AMD (accounting for 10%-15% of total AMD)[]. The advanced or late form of AMD, devoid of choroidal neovascularization, is termed "dry" AMD (accounting for 85%-90% of total AMD)[], also known as geographic atrophy, and is characterized by atrophy of RPE cells and choriocapillaris.
Because of the presence of autoantibody, AMD has been considered as an autoimmune disease[], attributable to frequent auto-activation of complement, a vital component of the innate immunity and an effector mechanism of the innate immune system[]. Complement can be activated either via the classic pathway, requiring antibodies to recognize foreign/abnormal antigens, or else by foreign/abnormal antigens via the alternative pathway[]. Complement consists of many regulators/components so that the system is highly regulated and any mutation in those proteins can increase risks of the system disorders. For example, a gene mutation of complement regular factor H (Y402H) has been linked to increased risk of AMD[].
AMD is also associated with interleukin-17 receptor (IL-17RC); high-level expression of IL-17RC has been observed in the macular tissues as well as in CD14+ monocytes of the AMD patients[]. Although inconclusive, increased IL-17RC expression may be attributable to DNA hypomethylation at theIL-17RC promoter region[,]. We have recently shown that overexpression of IL-17RC in cultured RPE cells resulted in augmented expression of not only Wnt-3a and Wnt-10b but also the Wnt-target gene vascular epidermal growth factor (VEGF)[]. Activation of the canonical Wnt pathway is known to effectively induce retinal inflammation and play a pathogenic role in AMD development[]. Overexpression of IL-17RC can enhance protein–protein interactions between β-catenin and VEGF, as well as interactions between glycogen synthase kinase 3β (GSK3β) and VEGF[]. The β-catenin/VEGF and GSK3β/VEGF aggregates were co-localized with C3, the first reactive component of the alternative complement pathway[]. It was thus hypothesized that the β-catenin/VEGF and GSK3β/VEGF aggregates may be recognized by the alternative complement pathway as foreign/abnormal antigens[].
In addition to increased β-catenin/VEGF and GSK3β/VEGF interactions with C3, overexpression of IL-17RC in RPE or THP-1 (cultured monocytes) cells also resulted in the loss of responsiveness of Akt and/or phosphatidylinositide 3-kinase (PI3K) to stimuli such as VEGF[]. The insensitivity of PI3K/Akt was associated with increased GSK3 activity, as well as with decreased cell growth and cell survival[], consistent with the observation that high GSK3 activity promotes apoptosis[]. Thus, the uncontrolled GSK3 activation under high IL-17RC and VEGF conditions has been postulated to confer an etiology of AMD that is unrelated to complement system activation[].
Peripheral blood mononuclear cells (PBMC) consist of any peripheral blood cells having a nucleus, including lymphocytes (e.g. T cells, B cells and natural killer cells) and monocytes. Because IL-17RC levels are increased in monocytes of AMD patients[] and because forced expression of IL-17RC increases GSK3 activity in transfected RPE cells[], we wondered if high GSK3 activity and its related effects can also be detected in PBMC of AMD patients.

2 Materials and methods

2.1 Human blood samples

Blood samples of two AMD patients were collected at the laboratory of Dr. Robert Nussenblatt, Immunology, National Eye Institute, the US National Institutes of Health (NIH). Two normal blood samples were obtained from NIH blood bank under Dr. Nussenblatt's name. Those people, donating their blood as normal samples, did not have any common chronic diseases including AMD. Informed written consent for participation was obtained from the donors to NIH as described previously[], and the sample handling and subsequent experimental procedures were strictly following protocols stipulated by NIH review boards. The ages of the two AMD patients were matched with normal controls.

2.2 Preparation of PBMC

PBMC were isolated from 5 to 10 mL blood samples using Ficoll and a series of centrifugation according to a previously described protocol[].

2.3 Immunoblotting and semi-quantification

Cell lysate preparation, immunoblotting procedures, antibodies and their sources have been described[]. The antibodies purchased from Santa Cruz Biotechnology (Santa Cruz, CA) were: α-Akt (#sc-8312), α-c-Myc (#sc-788), α-cyclin D1 (#sc-718), α-GSK3 (#sc-56913), α-GSK3α (#sc-7879), α-GSK3β (#sc-9166), α-IL-17RC (#sc-99936), α-insulin receptor substrate 1 (IRS1) (#sc-559), α-pAkt (#sc-135650), α-pGSK3β (#sc-11757-R), α-PI3K (#sc-423), α-pPI3K (#sc-12929-R), α-TAU (#sc-1995), α-VEGF (#sc-152), and α-Wnt-3a (#sc-136163). The α-CCAAT enhancer binding protein α (c/EBPα) (#2295), α-pc/EBPα (#2844), and α-pIRS1 (#2580) antibodies were obtained from Cell Signaling Technology (Danvers, MA, USA), and the α-GAPDH antibody (#2-RGM2) was obtained from Advanced ImmunoChemical (Long Beach, CA, USA). After SDS-PAGE and transfer, the blots were blocked by 5% bovine serum albumin (Sigma Aldrich, St. Louis, MO, USA) in the described buffer[] for one hour. Then, the blots were incubated with different primary antibodies (rabbit antibodies: 1:500; mouse antibodies: 1:200) overnight. The blots were washed by the buffer for three times and then incubated with corresponding secondary antibodies conjugated with Horseradish peroxidase (1:1,000 for rabbit antibodies and 1:200 for mouse antibodies) for one hour. The blots were washed by the buffer twice and washed by the buffer without Tween-20 once. The enhanced chemiluminescence technique was applied to visualize the immuno-reactive proteins. The immunoblots were exposed for different period of times to ensure linearity of the intensity of protein bands, prior to semi-quantification by scanning densitometry using NIH Image J.

2.4 Statistical analysis

The scanned results of intensity protein bands from PBMC of normal or AMD donors by two separate experiments were compared. P values were calculated using Wilcoxon-Mann–Whitney Test (WMWT) (https://ccb-compute2.cs.uni-saarland.de/wtest/ id=www/www-ccb/html/wtest).

3 Results

3.1 Increased levels of IL-17RC, Wnt-3a, and VEGF in PBMC of AMD patients

Elevated frequency of IL-17RC+CD14+ monocytes has been observed previously in the peripheral blood of AMD patients, and the increased IL-17RC expression (in both peripheral blood and chroioretinal tissues with AMD lesions) probably was associated with hypomethylation of theIL17RC promoter[]. The present study confirmed, using immunoblot analysis, that the level of IL-17RC was increased (by 2.3-fold) in PBMC of two AMD patients examined. Increased IL-17RC expression was shown to induce Wnt signaling and Wnt-3a and Wnt-10b expression in cultured retinal pigment epithelium[]. Indeed, the level of Wnt-3a in PBMC of the two AMD patients was increased (by 4.1-fold) as compared to that in non-AMD controls (Fig. 1). Moreover, like that in retinal pigment epithelium with AMD lesions[], increased level of VEGF (by 12.7-fold) was also observed in PBMC of AMD patients (Fig. 1). These results thus provide the first evidence that elevated expression of IL-17RC, Wnt-3a, and VEGF, factors strongly associated with AMD can be detected by immunoblotting in PBMC of AMD patients.
Fig.1 Immunoblot analysis of IL-17RC, Wnt-3a, and VEGF.

Full size|PPT slide

3.2 Insensitivity of PI3K/Akt/GSK3 signaling in PBMC of AMD patients

We have shown previously that in transfected RPE cells overexpressing IL-17RC, tyrosine phosphorylation (Y208) of PI3K50α was abrogated even though the level of VEGF, a PI3K stimulus, was persistently high[]. Concomitantly, the decreased pYPI3K50α was associated with reduced threonine phosphorylation (T308) of Akt, and lowered levels of serine-phosphorylated GSK3[], indicative of GSK3 activation. To determine whether or not the insensitivity of PI3K/Akt/GSK3 signaling to VEGF stimulus was also detectable in PBMC of the AMD patients, we performed immunoblot analysis of the phosphorylation status of the respective PI3K α subunits (i.e. the regulatory subunit of PI3K), Akt, and GSK3.
There are three alternative splicing isoforms of PI3K regulator α subunits, namely PI3K85α, PI3K55α, and PI3K50α derived from the same gene (NM_001242466.1, human)[]. The PI3K55α was not detectable in PBMC since there was no band between the bands of 50-kDa and 85-kDa. The level of PI3K85α in AMD PBMC was decreased by 60% as compared to that in normal controls (Fig. 2A). More remarkably, the level of tyrosine-phosphorylated pPI3K50α(Y208), representing the activated form of PI3K, was reduced to only10% of that in normal controls (Fig. 2Aand C).
Fig.2 Immunoblots analysis of protein mass and phosphorylation status of PI3K, Akt, and GSK3.

Full size|PPT slide

Two Akt bands were present in PBMC of the AMD patients, neither of which was phosphorylated. Thus, the level of threonine-phosphorylated Akt, pAkt(T308), was less than 10% of that in normal controls (Fig. 2B and C), suggesting that Akt was minimally activated in PBMC of the AMD patients. The nature of the low molecular weight form of Akt (denoted by an arrow inFig. 2B) present in PBMC of the AMD patients is unclear; it might be a degradative product of Akt due to structural damage.
Both GSK3α and GSK3β were detected in PBMC of the AMD patients (Fig. 2B). However, the serine-phosphorylated pGSK3α (S21) was undetectable, and the apparent molecular weight of GSK3α (denoted by an arrow) was lower in PBMC of AMD patients than that in normal controls (Fig. 2B). The level of serine-phosphorylated pGSK3β (S9) was reduced by over 50% in PBMC of the AMD patients, and the apparent molecular weight of GSK3β (denoted by an arrow) was also lower in these cells as compared with that in normal controls (Fig. 2B). The absence of pGSK3α (S21) and reduced levels of pGSK3β (S9) are indicative of enhanced GSK3 activities in PBMC of the AMD patients. If the levels of pGSK3α and pGSK3β were combined, the serine-phosphorylation status of GSK3 in PBMC of AMD patients was reduced by over 70% as compared to normal controls (Fig. 2C). However, the levels of protein mass of PI3K50α, Akt, or GSK3 were insignificantly changed between normal and AMD PBMCs (Fig. 2C). These results together suggest that despite the presence of high levels of IL17RC, Wnt-3a or VEGF, the PI3K/Akt signaling is insensitive to these stimuli, which leads to uncontrolled high GSK3 activity in PBMC of the AMD patients.

3.3 Increased phosphorylation levels of GSK3 substrates in PBMC of AMD patients

We next determined whether or not the increased GSK3 activity in PBMC of AMD patients was associated with high-level phosphorylation of GSK3 substrates. To this end, we examined c/EBPα, IRS1, and TAU, As shown inFig. 3A, the levels of pc/EBPα (T222/226), pIRS1(S332/336) and pTAU (denoted by an arrow) were all increased in PBMC of the AMD patients as compared to that in normal controls (Fig. 3A andC). The protein mass of c/EBPα or IRS1 was insignificantly altered between normal and AMD samples (Fig. 3D).
Fig.3 Immunoblots analysis of protein mass and phosphorylation status of GSK3 substrates.

Full size|PPT slide

Finally, we determined whether or not the increased Wnt-3a in PBMC of the AMD patients was associated with increased expression of c-Myc or cyclin D1, because it is known that Wnt-signaling increases c-Myc and cyclin D1 gene expression[]. Indeed, the levels of c-Myc and cyclin D1 were augmented over 50% and 90%, respectively, in PBMC of the AMD patients (Fig. 3B and D). This result is consistent with the previous observation that high GSK3 activity had little impact on c-Myc and cyclin D1 expression in RPE or THP-1 cells overexpressing IL-17RC because of high levels of Wnt-3a and Wnt-10b[].
Together, these data show that the attenuated PI3K/Akt response to the stimuli and the concomitant release of GSK3 activity are apparent in PBMC of the AMD patients, suggesting that the overstimulation-induced PI3K/Akt/GSK3 insensitivity and GSK3 activation are a systematic manifestation in AMD.

4 Discussion

On the basis of recent experimental observation that elevated IL-17RC expression was present in peripheral blood samples of AMD patients[] and that overexpression of IL-17RC in transfected RPE or monocytes was associated with uncontrolled GSK3 activation[], we postulated that the etiology of AMD might be related to overstimulation-induced-insensitivity of the PI3K/Akt/GSK3 pathway and uncontrolled (or released) GSK3 activity[]. To test this hypothesis, we examined the phosphorylation status of PI3K, Akt, and GSK3, as well as that of GSK3 substrates in PBMC of AMD patients. Despite the presence of low or comparable expression of GSK3 in PBMC of AMD1 or AMD2 patients (Fig. 1A), the activity of GSK3 was much higher than that in PBMC of normal controls, as demonstrated by the high phosphorylation status of GSK3 substrates c/EBPα, IRS1, and TAU (Fig. 3). These data, albeit preliminary because only two AMD samples were obtained, demonstrate that the uncontrolled GSK3 activation, a hallmark of overstimulation-induced-insensitivity of PI3K/Akt/GSK3, can be detected in PBMC of the AMD patients.
The etiology/onset of AMD is complex and most likely multifactorial. Many genetic risk factors[] and biomarkers[] for AMD have been suggested; the majority of them are associated with the complement system proteins. Nevertheless, because the most relevant risk factor for AMD is aging, and because development of pathogenic AMD takes many years to be evident, identification of a reliable biomarker for AMD in the sub-health populations is of significance in preventative medicine.
We therefore propose that the GSK3 activity assay in PBMC can be used as a surrogate biomarker for AMD. We propose to use GSK3 activity as an AMD biomarker for the following two reasons.
First, GSK3 activation is present in many chronic/age-related metabolic abnormalities, including AMD[]. Association of AMD with other chronic/age-related metabolic abnormalities, such as type 2 diabetes (T2D), and Alzheimer disease, has been reported previously. For instance, the Reykjavik Study has shown that late AMD being a predictor of mortality at mid-octogenarian years[]. An association of diabetes with neovascular AMD, but not with geographic atrophy, has been observed in a cross-sectional population-based study with patients of>65 years old (EUREYE study)[]. A 10-year cardiovascular mortality and risk factor study suggested AMD be an independent risk factor of cardiovascular mortalities in T2D patients[], even though a systematic meta-analysis does not reveal a significant relationship between early AMD and incident stroke[]. Importantly, high GSK3 activity has been observed in many of these chronic/age-related diseases, including Alzheimer's disease, T2D[], Parkinson disease[], and even cancer[,]. The GSK3-catalyzed serine-phosphorylation of IRS1 plays a crucial role in the development of T2D[], and GSK3-catalyzed hyper-phosphorylation of TAU has been implicated in the development of Alzheimer's disease[]. In the present study, we observed increased phosphorylation of IRS1 and TAU, as well as increased phosphorylation of c/EBPα in PBMC of the AMD patients (Fig. 3). This result, although preliminary, may suggest that uncontrolled GSK3 activation is a systematic manifestation of many chronic/age-related disorders with a common mechanistic underpinning,i.e. overstimulation-induced-insensitivity of PI3K/Akt/GSK3 pathway[].
Second, measurement of uncontrolled GSK3 activation can serve as a good diagnostic means for patients under sub-health or chronic conditions, such as early stages of AMD and/or other chronic diseases. Currently, most of the genetic risk scores or biomarkers, except aging, have not been able to (i) reliably predict the development of AMD or (ii) the effectiveness of drugs or therapies[]. This challenge in clinical practice is most likely attributable to the lack of knowledge on the causal relationship between AMD and inflammatory responses, as well as the lack of knowledge of metabolic baseline of selected "normal" or "control" groups. The recent controversy concerning the use of hypo-methylation status of theIL17RC promoter as an indicator for AMD may be attributable to such a lack of a suitable "control" population[-]. Our recent elucidation of an interrelationship between IL-17RC-, Wnt-, VEGF-stimulation and insensitivity of PI3K/Akt/GSK3 signaling[] has provided a mechanistic explanation of the etiology of AMD at molecular and cellular levels. We have observed changes in GSK3 activity as early as two days upon overstimulation[], which may represent a pre or early stage of diseases. Therefore, the assay GSK3 activity can be applied to distinguish patients with chronic/sub-health conditions from the healthy subjects, and also to help with evaluation of safety and effectiveness of drugs/therapies.
It is noteworthy that the insensitivity of PI3K/Akt/GSK3 in PBMC of the AMD patients was much more severe than that in cultured cells with overstimulation[], because the level of PI3K85α was dramatically diminished (Fig. 2A and C) and the presence of low molecular weight forms of Akt and GSK3 in the cells (Fig. 2B). These phenomena were not observed in cell culture studies[], nor were they present in animal studies reported previously[]. Mechanisms by which persistent internal expression of the stimuli (Fig. 1) can exert such a detrimental effect on cellular expression of PI3K, Akt and GSK3 merit further investigation.
In summary, measurement of mass and phosphorylation status of GSK3 and GSK3 substrates in PBMC may supplement other clinical biochemistry tests in the surveillance of AMD risks among peoples who carry genetic risks of the disease.

References

[1]
Younossi ZM, Koenig AB, Abdelatif D, Global epidemiology of non-alcoholic fatty liver disease-meta-analytic assessment of prevalence, incidence and outcomes[J]. Hepatology, 2016, 64(1):73–84.
[2]
Ekstedt M, Hagstrom H, Nasr P, Fibrosis stage is the strongest predictor for disease-specific mortality in NAFLD after up to 33 years of follow-up[J]. Hepatology, 2015, 61(5): 1547–1554.
CrossRef Google scholar
[3]
Stepanova M, Rafiq N, Makhlouf H, Predictors of all-cause mortality and liver-related mortality in patients with non-alcoholic fatty liver disease (NAFLD)[J]. Dig Dis Sci, 2013, 58(10): 3017–3023.
CrossRef Google scholar
[4]
Portillo-Sanchez P, Bril F, Maximos M, High prevalence of nonalcoholic fatty liver disease in patients with type 2 diabetes mellitus and normal plasma aminotransferase levels[J]. J Clin Endocrinol Metab, 2015, 100(6): 2231–2238.
CrossRef Google scholar
[5]
Page JM, Harrison SA. NASH and HCC[J]. Clin Liver Dis, 2009, 13(4): 631–647.
CrossRef Google scholar
[6]
Starley BQ, Calcagno CJ, Harrison SA. Nonalcoholic fatty liver disease and hepatocellular carcinoma: a weighty connection[J]. Hepatology, 2010, 51(5): 1820–1832.
CrossRef Google scholar
[7]
Davis GL, Dempster J, Meler JD, Hepatocellular carcinoma: management of an increasingly common problem[J]. Proc Bayl Univ Med Cent, 2008, 21: 266–280.
[8]
Ravikumar R, Jassem W, Mergental H, Liver Transplantation After Ex Vivo Normothermic Machine Preservation: A Phase 1 (First-in-Man) Clinical Trial[J]. Am J Transplant, 2016, 16(6): 1779–1787.
CrossRef Google scholar
[9]
European Association for the Study of the Liver. Electronic address eee, European Association for the Study of D, European Association for the Study of O. EASL-EASD-EASO Clinical Practice Guidelines for the management of non-alcoholic fatty liver disease[J]. J Hepatol, 2016, 64(6): 1388–1402
CrossRef Google scholar
[10]
Assy N, Kaita K, Mymin D, Fatty infiltration of liver in hyperlipidemic patients[J]. Dig Dis Sci, 2000, 45(10): 1929–1934
CrossRef Google scholar
[11]
Ratziu V, Charlotte F, Heurtier A, Sampling variability of liver biopsy in nonalcoholic fatty liver disease[J]. Gastroenterology, 2005, 128(7): 1898–1906.
CrossRef Google scholar
[12]
Janiec DJ, Jacobson ER, Freeth A, Histologic variation of grade and stage of non-alcoholic fatty liver disease in liver biopsies[J]. Obes Surg, 2005, 15(4): 497–501.
CrossRef Google scholar
[13]
Jung ES, Lee K, Yu E, Interobserver Agreement on Pathologic Features of Liver Biopsy Tissue in Patients with Nonalcoholic Fatty Liver Disease[J]. J Pathol Transl Med, 2016, 50(3): 190–196.
CrossRef Google scholar
[14]
Verlinden W, Bourgeois S, De Maeyer M, Validation of APRI and FIB-4 score in an Antwerp cohort of chronic hepatitis C patients[J]. Acta Gastroenterol Belg, 2015, 78: 373–380.
[15]
Lee JH, Kim D, Kim HJ, Hepatic steatosis index: a simple screening tool reflecting nonalcoholic fatty liver disease[J]. Dig Liver Dis, 2010, 42(7): 503–508.
CrossRef Google scholar
[16]
Chalasani N, Younossi Z, Lavine JE, The diagnosis and management of non-alcoholic fatty liver disease: practice Guideline by the American Association for the Study of Liver Diseases, American College of Gastroenterology, and the American Gastroenterological Association[J]. Hepatology, 2012, 55(6): 2005–2023.
CrossRef Google scholar
[17]
Dulai PS, Sirlin CB, Loomba R. MRI and MRE for non-invasive quantitative assessment of hepatic steatosis and fibrosis in NAFLD and NASH: Clinical trials to clinical practice[J]. J Hepatol, 2016, 65(5): 1006–1016.
CrossRef Google scholar
[18]
Kwok R, Tse YK, Wong GL, Systematic review with meta-analysis: non-invasive assessment of non-alcoholic fatty liver disease–the role of transient elastography and plasma cytokeratin-18 fragments[J]. Aliment Pharmacol Ther, 2014, 39(3): 254–269.
CrossRef Google scholar
[19]
Sandrin L, Fourquet B, Hasquenoph JM, Transient elastography: a new noninvasive method for assessment of hepatic fibrosis[J]. Ultrasound Med Biol, 2003, 29(12): 1705–1713
CrossRef Google scholar
[20]
Sebastiani G, Tempesta D, Fattovich G, Prediction of oesophageal varices in hepatic cirrhosis by simple serum non-invasive markers: Results of a multicenter, large-scale study[J]. J Hepatol, 2010, 53(4): 630–638.
CrossRef Google scholar
[21]
Lee SS, Park SH, Kim HJ, Non-invasive assessment of hepatic steatosis: prospective comparison of the accuracy of imaging examinations[J]. J Hepatol, 2010, 52(4): 579–585.
CrossRef Google scholar
[22]
Al-Busafi SA, Ghali P, Wong P, The utility of Xenon-133 liver scan in the diagnosis and management of nonalcoholic fatty liver disease[J]. Can J Gastroenterol, 2012, 26(3): 155–159.
CrossRef Google scholar
[23]
Sebastiani G, Alshaalan R, Wong P, Prognostic value of non-invasive fibrosis and steatosis tools, hepatic venous pressure gradient (HVPG) and histology in nonalcoholic steatohepatitis[J]. PLoS One, 2015, 10(6): e0128774
CrossRef Google scholar
[24]
Angulo P, Bugianesi E, Bjornsson ES, Simple noninvasive systems predict long-term outcomes of patients with nonalcoholic fatty liver disease[J]. Gastroenterology, 2013;145:782–9 e4.
[25]
Hannah WN Jr, Harrison SA. Noninvasive imaging methods to determine severity of nonalcoholic fatty liver disease and nonalcoholic steatohepatitis[J]. Hepatology, 2016;64(6):2234–2243.
[26]
Bedossa P, Patel K.Biopsy and noninvasive methods to assess progression of nonalcoholic fatty liver disease[J]. Gastroenterology. 2016;150:1811–22 e4.
[27]
Ibrahim SH, Hirsova P, Malhi H, Animal models of nonalcoholic steatohepatitis: eat, delete, and inflame[J]. Dig Dis Sci, 2016, 61(5): 1325–1336
CrossRef Google scholar
[28]
Sanches SC, Ramalho LN, Augusto MJ, . Nonalcoholic steatohepatitis: a search for factual animal models[J]. biomed research international. 2015;2015:574832.
[29]
Collins FS. Reengineering translational science: the time is right[J]. Sci Transl Med, 2011, 3(90): 90cm17
CrossRef Google scholar
[30]
Sartipy P, Bjorquist P. Concise review: Human pluripotent stem cell-based models for cardiac and hepatic toxicity assessment[J]. Stem Cells, 2011, 29(5): 744–748.
CrossRef Google scholar
[31]
Singh M, Ferrara N. Modeling and predicting clinical efficacy for drugs targeting the tumor milieu[J]. Nat Biotechnol, 2012, 30(7): 648–657.
CrossRef Google scholar
[32]
Raven K. Rodent models of sepsis found shockingly lacking[J]. Nat Med, 2012, 18(7): 998.
CrossRef Google scholar
[33]
Mullane K, Williams M. Translational semantics and infrastructure: another search for the emperor’s new clothes[J]? Drug Discov Today, 2012, 17(9-10): 459–468.
CrossRef Google scholar
[34]
Thorogood A, Joly Y, Knoppers BM, An implementation framework for the feedback of individual research results and incidental findings in research[J]. BMC Med Ethics, 2014, 15(1): 88.
CrossRef Google scholar
[35]
Romeo S, Kozlitina J, Xing C, Genetic variation in PNPLA3 confers susceptibility to nonalcoholic fatty liver disease[J]. Nat Genet, 2008, 40(12): 1461–1465.
CrossRef Google scholar
[36]
Sookoian S, Pirola CJ. Meta-analysis of the influence of I148M variant of patatin-like phospholipase domain containing 3 gene (PNPLA3) on the susceptibility and histological severity of nonalcoholic fatty liver disease[J]. Hepatology, 2011, 53(6): 1883–1894.
CrossRef Google scholar
[37]
Speliotes EK, Butler JL, Palmer CD, PNPLA3 variants specifically confer increased risk for histologic nonalcoholic fatty liver disease but not metabolic disease[J]. Hepatology, 2010, 52(3): 904–912
CrossRef Google scholar
[38]
Rotman Y, Koh C, Zmuda JM, The association of genetic variability in patatin-like phospholipase domain-containing protein 3 (PNPLA3) with histological severity of nonalcoholic fatty liver disease[J]. Hepatology, 2010, 52(3): 894–903
CrossRef Google scholar
[39]
Valenti L, Alisi A, Galmozzi E, I148M patatin-like phospholipase domain-containing 3 gene variant and severity of pediatric nonalcoholic fatty liver disease[J]. Hepatology, 2010, 52(4): 1274–1280
CrossRef Google scholar
[40]
Valenti L, Al-Serri A, Daly AK, Homozygosity for the patatin-like phospholipase-3/adiponutrin I148M polymorphism influences liver fibrosis in patients with nonalcoholic fatty liver disease[J]. Hepatology, 2010, 51(4): 1209–1217
CrossRef Google scholar
[41]
Kozlitina J, Smagris E, Stender S, Exome-wide association study identifies a TM6SF2 variant that confers susceptibility to nonalcoholic fatty liver disease[J]. Nat Genet, 2014, 46(4): 352–356
CrossRef Google scholar
[42]
Smagris E, Gilyard S, BasuRay S, Inactivation of Tm6sf2, a gene defective in fatty liver disease, impairs lipidation but not secretion of very low density lipoproteins[J]. J Biol Chem, 2016, 291(20): 10659–10676
CrossRef Google scholar
[43]
Petersen KF, Dufour S, Hariri A, Apolipoprotein C3 gene variants in nonalcoholic fatty liver disease[J]. N Engl J Med, 2010, 362(12): 1082–1089
CrossRef Google scholar
[44]
Burger M, Zimmermann TJ, Kondoh Y, Crystal structure of the predicted phospholipase LYPLAL1 reveals unexpected functional plasticity despite close relationship to acyl protein thioesterases[J]. J Lipid Res, 2012, 53(1): 43–50
CrossRef Google scholar
[45]
Wood KL, Miller MH, Dillon JF. Systematic review of genetic association studies involving histologically confirmed non-alcoholic fatty liver disease[J]. BMJ Open Gastroenterol, 2015, 2(1): e000019
CrossRef Google scholar
[46]
Pirola CJ, Fernandez Gianotti T, Castano GO, Circulating microRNA signature in non-alcoholic fatty liver disease: from serum non-coding RNAs to liver histology and disease pathogenesis[J]. Gut, 2015, 64(5): 800–812
CrossRef Google scholar
[47]
Aagaard-Tillery KM, Grove K, Bishop J, Developmental origins of disease and determinants of chromatin structure: maternal diet modifies the primate fetal epigenome[J]. J Mol Endocrinol, 2008, 41(2): 91–102
CrossRef Google scholar
[48]
Jun HJ, Kim J, Hoang MH, Hepatic lipid accumulation alters global histone h3 lysine 9 and 4 trimethylation in the peroxisome proliferator-activated receptor alpha network[J]. PLoS One, 2012, 7(9): e44345
CrossRef Google scholar
[49]
Eslam M, George J. Genetic and epigenetic mechanisms of NASH[J]. Hepatol Int, 2016, 10(3): 394–406
CrossRef Google scholar
[50]
Gallego-Durán R, Romero-Gomez M. Epigenetic mechanisms in non-alcoholic fatty liver disease: An emerging field[J]. World J Hepatol, 2015, 7(24): 2497–2502.
CrossRef Google scholar
[51]
Buzzetti E, Pinzani M, Tsochatzis EA. The multiple-hit pathogenesis of non-alcoholic fatty liver disease (NAFLD). Metabolism, 2016, 65(8): 1038–1048.
CrossRef Google scholar
[52]
Jiang ZG, Robson SC, Yao Z. Lipoprotein metabolism in nonalcoholic fatty liver disease[J]. J Biomed Res, 2013, 27(1): 1–13
CrossRef Google scholar
[53]
Bernelot Moens SJ, van Capelleveen JC, Stroes ES. Inhibition of ApoCIII: the next PCSK9[J]? Curr Opin Lipidol, 2014, 25(6): 418–422.
CrossRef Google scholar
[54]
McConathy WJ, Gesquiere JC, Bass H, Inhibition of lipoprotein lipase activity by synthetic peptides of apolipoprotein C–III[J]. J Lipid Res, 1992, 33: 995–1003.
[55]
Qin W, Sundaram M, Wang Y, Missense mutation in APOC3 within the C-terminal lipid binding domain of human ApoC-III results in impaired assembly and secretion of triacylglycerol-rich very low density lipoproteins: evidence that ApoC-III plays a major role in the formation of lipid precursors within the microsomal lumen[J]. J Biol Chem, 2011, 286(31): 27769–27780.
CrossRef Google scholar
[56]
Holleboom AG, Karlsson H, Lin RS, Heterozygosity for a loss-of-function mutation in GALNT2 improves plasma triglyceride clearance in man[J]. Cell Metab, 2011, 14(6): 811–818
CrossRef Google scholar
[57]
Ertunc ME, Sikkeland J, Fenaroli F, Secretion of fatty acid binding protein aP2 from adipocytes through a nonclassical pathway in response to adipocyte lipase activity[J]. J Lipid Res, 2015, 56(2): 423–434.
CrossRef Google scholar
[58]
Deretic V, Jiang S, Dupont N. Autophagy intersections with conventional and unconventional secretion in tissue development, remodeling and inflammation[J]. Trends Cell Biol, 2012, 22(8): 397–406.
CrossRef Google scholar
[59]
Mao Y, Yu F, Wang J, Autophagy: a new target for nonalcoholic fatty liver disease therapy[J]. Hepat Med, 2016, 8: 27–37.
CrossRef Google scholar
[60]
Kennedy OJ, Roderick P, Poole R, Coffee, caffeine and non-alcoholic fatty liver disease[J]? Therap Adv Gastroenterol, 2016, 9(3): 417–418.
CrossRef Google scholar
[61]
Marventano S, Salomone F, Godos J, Coffee and tea consumption in relation with non-alcoholic fatty liver and metabolic syndrome: A systematic review and meta-analysis of observational studies[J]. Clin Nutr, 2016, 35(6): 1269–1281.
CrossRef Google scholar
[62]
Sinha RA, Farah BL, Singh BK, Caffeine stimulates hepatic lipid metabolism by the autophagy-lysosomal pathway in mice[J]. Hepatology, 2014, 59(4): 1366–1380.
CrossRef Google scholar
[63]
Ding WX. Drinking coffee burns hepatic fat by inducing lipophagy coupled with mitochondrial beta-oxidation[J]. Hepatology, 2014, 59(4): 1235–1238.
CrossRef Google scholar
[64]
Wong AT, Chan DC, Ooi EM, Omega-3 fatty acid ethyl ester supplementation decreases very-low-density lipoprotein triacylglycerol secretion in obese men[J]. Clin Sci, 2013, 125(1): 45–51.
CrossRef Google scholar
[65]
Chen Y, Xu C, Yan T, . omega-3 Fatty acids reverse lipotoxity through induction of autophagy in nonalcoholic fatty liver disease[J]. Nutrition, 2015;31:1423–9 e2.
[66]
Kim JK, Lee KS, Lee DK, Omega-3 polyunsaturated fatty acid and ursodeoxycholic acid have an additive effect in attenuating diet-induced nonalcoholic steatohepatitis in mice[J]. Exp Mol Med, 2014, 46(12): e127
CrossRef Google scholar
[67]
Parafati M, Lascala A, Morittu VM, Bergamot polyphenol fraction prevents nonalcoholic fatty liver disease via stimulation of lipophagy in cafeteria diet-induced rat model of metabolic syndrome[J]. J Nutr Biochem, 2015, 26(9): 938–948.
CrossRef Google scholar
[68]
Shibata M, Yoshimura K, Furuya N, The MAP1–LC3 conjugation system is involved in lipid droplet formation[J]. Biochem Biophys Res Commun, 2009, 382(2): 419–423.
CrossRef Google scholar
[69]
Dupont N, Chauhan S, Arko-Mensah J, Neutral lipid stores and lipase PNPLA5 contribute to autophagosome biogenesis[J]. Curr Biol, 2014, 24(6): 609–620.
CrossRef Google scholar
[70]
Volmer R, Ron D. Lipid-dependent regulation of the unfolded protein response[J]. Curr Opin Cell Biol, 2015, 33: 67–73.
CrossRef Google scholar
[71]
Choi YJ, Shin HS, Choi HS, Uric acid induces fat accumulation via generation of endoplasmic reticulum stress and SREBP-1c activation in hepatocytes[J]. Lab Invest, 2014, 94(10): 1114–1125.
CrossRef Google scholar
[72]
Peterson TR, Sengupta SS, Harris TE, mTOR complex 1 regulates lipin 1 localization to control the SREBP pathway[J]. Cell, 2011, 146(3): 408–420.
CrossRef Google scholar
[73]
Zhang P, Verity MA, Reue K. Lipin-1 regulates autophagy clearance and intersects with statin drug effects in skeletal muscle[J]. Cell Metab, 2014, 20(2): 267–279.
CrossRef Google scholar
[74]
Sapp V, Gaffney L, EauClaire SF, EauClaire SF, Matthews RP. Fructose leads to hepatic steatosis in zebrafish that is reversed by mechanistic target of rapamycin (mTOR) inhibition[J]. Hepatology, 2014, 60(5): 1581–1592.
CrossRef Google scholar
[75]
Altomonte J, Cong L, Harbaran S, Foxo1 mediates insulin action on apoC-III and triglyceride metabolism[J]. J Clin Invest, 2004, 114(10): 1493–1503
CrossRef Google scholar
[76]
Ferré P, Foufelle F. Hepatic steatosis: a role for de novo lipogenesis and the transcription factor SREBP-1c[J]. Diabetes Obes Metab, 2010, 12(Suppl 2): 83–92.
CrossRef Google scholar
[77]
Kamagate A, Qu S, Perdomo G, FoxO1 mediates insulin-dependent regulation of hepatic VLDL production in mice[J]. J Clin Invest, 2008, 118: 2347–2364.
[78]
Wu X, Chen K, Williams KJ. The role of pathway-selective insulin resistance and responsiveness in diabetic dyslipoproteinemia[J]. Curr Opin Lipidol, 2012, 23(4): 334–344.
CrossRef Google scholar
[79]
Yao Z, Wang Y. Apolipoprotein C–III and hepatic triglyceride-rich lipoprotein production[J]. Curr Opin Lipidol, 2012, 23(3): 206–212.
CrossRef Google scholar
[80]
Promrat K, Kleiner DE, Niemeier HM, Randomized controlled trial testing the effects of weight loss on nonalcoholic steatohepatitis[J]. Hepatology, 2010, 51(1): 121–129.
CrossRef Google scholar
[81]
Lincoff AM, Wolski K, Nicholls SJ, Pioglitazone and risk of cardiovascular events in patients with type 2 diabetes mellitus: a meta-analysis of randomized trials[J]. JAMA, 2007, 298(10): 1180–1188.
CrossRef Google scholar

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