Skip to main content
Frontiers in Physiology logoLink to Frontiers in Physiology
. 2016 Apr 25;7:147. doi: 10.3389/fphys.2016.00147

Transient Hepatic Overexpression of Insulin-Like Growth Factor 2 Induces Free Cholesterol and Lipid Droplet Formation

Sonja M Kessler 1,, Stephan Laggai 1,, Elien Van Wonterghem 2,3, Katja Gemperlein 4, Rolf Müller 4, Johannes Haybaeck 5, Roosmarijn E Vandenbroucke 2,3, Manfred Ogris 6, Claude Libert 2,3, Alexandra K Kiemer 1,*
PMCID: PMC4843762  PMID: 27199763

Abstract

Although insulin-like growth factor 2 (IGF2) has been reported to be overexpressed in steatosis and steatohepatitis, a causal role of IGF2 in steatosis development remains elusive. Aim of our study was to decipher the role of IGF2 in steatosis development. Hydrodynamic gene delivery of an Igf2 plasmid used for transient Igf2 overexpression employing codon-optimized plasmid DNA resulted in a strong induction of hepatic Igf2 expression. The exogenously delivered Igf2 had no influence on endogenous Igf2 expression. The downstream kinase AKT was activated in Igf2 animals. Decreased ALT levels mirrored the cytoprotective effect of IGF2. Serum cholesterol was increased and sulfo-phospho-vanillin colorimetric assay confirmed lipid accumulation in Igf2-livers while no signs of inflammation were observed. Interestingly, hepatic cholesterol and phospholipids, determined by thin layer chromatography, and free cholesterol by filipin staining, were specifically increased. Lipid droplet (LD) size was not changed, but their number was significantly elevated. Furthermore, free cholesterol, which can be stored in LDs and has been reported to be critical for steatosis progression, was elevated in Igf2 overexpressing mice. Accordingly, Hmgcr/HmgCoAR was upregulated. To have a closer look at de novo lipid synthesis we investigated expression of the lipogenic transcription factor SREBF1 and its target genes. SREBF1 was induced and also SREBF1 target genes were slightly upregulated. Interestingly, the expression of Cpt1a, which is responsible for mitochondrial fatty acid oxidation, was induced. Hepatic IGF2 expression induces a fatty liver, characterized by increased cholesterol and phospholipids leading to accumulation of LDs. We therefore suggest a causal role for IGF2 in hepatic lipid accumulation.

Keywords: insulin-like growth factor 2 (IGF2), NASH, hydrodynamic gene delivery, fatty liver, lipid droplets

Introduction

Lipid accumulation is a major feature accompanying all etiologies of chronic hepatitis. Hepatitis is provoked by viral factors, alcoholic, or non-alcoholic steatohepatitis. Chronic hepatitis represents a risk factor for the development of hepatocellular carcinoma (HCC), which is the second leading cause of cancer related death in men (Jemal et al., 2011).

The hepatitis C virus (HCV) core protein was shown to upregulate insulin-like growth factor 2 (IGF2) expression (Liu et al., 2005; Nguyen et al., 2006). IGF2 has been reported to be overexpressed in advanced stages of liver disease, i.e., cirrhosis and HCC (Iizuka et al., 2002; Sedlaczek et al., 2003; Couvert et al., 2008; Kessler et al., 2013). Igf2 transgenic mice carrying a mostly urinary promoter show a higher frequency of diverse malignancies (Rogler et al., 1994). Interestingly, genetic variants of the IGF2 gene were correlated to obesity, obesity-associated hypertension, and intramuscular fat (Faienza et al., 2010; Aslan et al., 2012; Deodati et al., 2013). Although IGF2 has been reported to be overexpressed in steatosis and steatohepatitis (Chiappini et al., 2006; Tybl et al., 2011; De Minicis et al., 2014), a causal role of IGF2 in steatosis development remains elusive. IGF2 signaling can be involved in the transition of steatosis and steatohepatitis to HCC due to downregulation of the tumor suppressor PTEN by IGF2 (Horie et al., 2004; Vinciguerra et al., 2008). On the other hand, IGF1 levels have been described to be downregulated in steatotic patients (Völzke et al., 2009; Mallea-Gil et al., 2012; Cianfarani et al., 2014).

Igf2 transgenic mice show fetal overgrowth and neonatal lethality (Sun et al., 1997) and can therefore not be used to study the role of IGF2 in steatosis. Hydrodynamic delivery displays a simple and effective method for in vivo gene delivery (Liu et al., 1999; Suda et al., 2006). It was demonstrated in mice that DNA, RNA, and proteins but also small molecules can be delivered to hepatocytes through tail vein injection (Herweijer and Wolff, 2006; Suda and Liu, 2007). Over 99% of gene expression following a hydrodynamic tail vein delivery of plasmid DNA occurs in the liver (Zhou et al., 2010). This might be due to the unique structure of the liver sinusoids (Suda et al., 2006).

In this study we present that transient IGF2 overexpression leads to hepatic lipid accumulation.

Materials and methods

Animals and hydrodynamic gene delivery

Twenty-one six-week-old male C57BL/6JRj mice were purchased from Janvier Labs (Saint-Berthevin Cedex, France) and were directly delivered to their final destination. The mice were adapted to the new environment for 1 week and housed with 4–6 mice/cage in a specific pathogen-free animal facility with free access to food and water and with a 14-h light/10-h dark cycle before proceeding with the hydrodynamic injection. Seven-week-old C57BL/6JRj mice were rapidly injected (5 s) via the tail vein with a volume corresponding to 10% of their body weight containing plasmid DNA at a concentration of 12.5 μg/ml in sterile, endotoxin free PBS. This injection method leads to transient hepatic expression of the plasmids (Pinheiro et al., 2013). After 7 days the animals were sacrificed, liver weights were estimated, and samples were collected. The experiment was conducted in accordance with the regulations for animal experiments at the University of Ghent.

Plasmids

The backbone of a pCpG-hCMV-EF1α-LucSH (luc luciferase, sh neomycin resistance) plasmid, which has been shown to induce high and stable expression levels of the luciferase insert (Magnusson et al., 2011), was used for the generation of the pCpG-hCMV-EF1α-Igf2 plasmid (Igf2). The protein coding murine Igf2 cDNA sequence was chosen according to published sequence data (NM_010514.3, NM_001122736.1, NM_001122737.1), optimized for codon usage, flanked by BglII and NheI restriction sites, synthesized by Eurofins Genomics (Ebersberg, Germany), and finally cloned into the pCpG-hCMV-EF1α backbone. The optimized insert sequence corresponds to the published murine IGF2 protein amino acid sequence data (NP_001116209.1, NP_001116208.1). All procedures were performed according to published methods (Magnusson et al., 2011; Su et al., 2013). Plasmid purification was done with the EndoFree Plasmid Giga Kit from Qiagen (12391, Hilden, Germany) under sterile, endotoxin free conditions. The final plasmid sequence was validated by sequencing (Eurofins Genomics). Ten mice were injected with the Luc plasmid as control animals (co) and 11 mice were injected with the Igf2 plasmid (Igf2). The insert sequence is provided in Figure 1. Plasmids were deposited at Addgene (http://www.addgene.org; plasmid 67933, plasmid 67934).

Figure 1.

Figure 1

Plasmid sequence and vector maps. The sequence of the Igf2 insert is shown. Restriction sites are highlighted in gray.

Serum parameters

Two days after injection blood glucose was determined by a BGStar glucometer (MDSS GmbH, Hannover, Germany). After 7 days animals were sacrificed and serum was collected. Serum levels of high density lipoprotein (HDL), triglycerides, cholesterol, aspartate aminotransferase (AST), and alanine aminotransferase (ALT) were measured at the “Zentrallabor des Universitätsklinikums des Saarlandes” (University of Saarland, Homburg, Germany).

Real-time RT-PCR

Real-time RT-PCR was performed as recently reported (Laggai et al., 2014). Real-time RT-PCR was performed in a CFX96 cycler (Bio-Rad, Munich, Germany) with 5 × HOT FIREPol® EvaGreen® qPCR Mix Plus (Solis BioDyne, Tartu, Estonia). All samples were measured in triplicate. Efficiency was determined for each experiment using a cDNA dilution series with a standard dilution series as described previously (Kiemer et al., 2009). The relative gene expression was normalized to 18S mRNA values. Details on primer sequences and conditions can be found in Table 1.

Table 1.

Primer sequences and conditions.

Gene Forward primer sequence 5′–3′ Reverse primer sequence 5′–3′ Amplicon size [bp] Gene bank accession number Primer [nM] Annealing Temp. [°C]
18s AGGTCTGTGATGCCCTTAGA GAATGGGGTTCAACGGGTTA 109 NR_003278.3 250 61
Acaca TGGAGCTAAACCAGCACTCC GTGTATCTGAGCTGACGGAGG 141 NM_133360.2 200 60
Cpt1a CTCAGTGGGAGCGACTCTTCA GGCCTCTGTGGTACACGACAA 105 NM_013495.2 250 60
Elovl6 ACAATGGACCTGTCAGCAAA GTACCAGTGCAGGAAGATCAGT 119 NM_130450.2 100 60
Emr1 CTTTGGCTATGGGCTTCCAGTC GCAAGGAGGACAGAGTTTATCGTG 165 NM_010130 150 60
exogenous Igf2 CACGAGCAAACAGACGTTCC CTCACGTCCCGTTCACTCTT 100 200 60
Fasn ATCCTGGAACGAGAACACGATCT AGAGACGTGTCACTCCTGGACTT 140 NM_007988.3 150 60
Gck GGACTCCACACCCCACAAAT GCTGTCTCACTGGCTGACTT 113 NM_010292.4 250 60
Hmgcr ATCCAGGAGCGAACCAAGAGAG CAGAAGCCCCAAGCACAAAC 99 NM_008255.2 250 60
IGF2 GGAAGTCGATGTTGGTGCTTCTC CGAACAGACAAACTGAAGCGTGT 121 NM_010514.3 250 60
Mlxipl CTGGGGACCTAAACAGGAGC GAAGCCACCCTATAGCTCCC 166 NM_021455.4 250 60
Nr1h3 CCGACAGAGCTTCGTCC CCCACAGACACTGCACAG 81 NM_013839.4 200 60
Pklr GCTCTGGCCCTGGATCTTTA CTGGCACGTCTCAGGTATCC 96 NM_013631.2 200 60
Ppara CCTTCCCTGTGAACTGACG CCACAGAGCGCTAAGCTGT 77 NM_001113418.1 250 60
Scd AGATCTCCAGTTCTTACACGACCAC CTTTCATTTCAGGACGGATGTCT 140 NM_009127.4 200 60
Srebf1c GGCTCTGGAACAGACACTGG GGCCCGGGAAGTCACTGT 110 NM_011480.3 100 60

Protein isolation and analysis by western blot

Western blot of total tissue lysates was carried out as described previously (Kessler et al., 2013; Laggai et al., 2014). Anti-α-tubulin (T9026, Sigma Aldrich, Taufkirchen, Germany, 1:1000 in PBST + 5% dry milk) and anti-SREBF1 [ab3259, Abcam, Cambridge, UK, 1:200 in Rockland blocking buffer (RBB; MB-070, Gilbertsville, USA)] antibodies were incubated for 3 h at room temperature. Anti-pAKT antibody (#4060P, Cell Signaling Technology, Danvers, USA, 1:1000 in RBB) was incubated overnight at 4°C. Secondary antibodies against mouse IgG [for tubulin and SREBF1, IRDye® 800cw Conjugated Affinity Purified Anti Mouse IgG (H&L) (Goat), 926–32210, LI-COR Biosciences, Licoln, USA] and against rabbit IgG [for pAKT, 926–68071 IRDye® 680RD Goat anti-Rabbit IgG (H&L), 926–68071, LI-COR Biosciences] were diluted 1:10,000 in RBB and blots were incubated for 1.5 h at room temperature. Detection was done with a LI-COR Odyssey device (LI-COR Biosciences).

Scharlach red staining for lipids

Cryo liver sections (5 μm; co, n = 4; Igf2, n = 4) were fixed with 4% normal buffered formalin for 2 min, treated with 50% ethanol for 3 min, stained for 3 min with 0.3% [m/v] Scharlach Red (0327.1, Roth, Karlsruhe, Germany) in 1:1 aceton/70% ethanol [v/v], rinsed with 70% ethanol and counterstained with hematoxylin (T865.2, Roth) (Simon et al., 2014a,b). Slides were embedded in the water based FluoroSafe™ mounting medium (#345789, Merck, Darmstadt, Germany). Pictures were captured by an Axio Star plus microscope coupled to an Axio Cam ICc 1 camera (both Zeiss, Feldbach, Swiss).

Quantification of total lipids

Total lipids were quantified by sulfo-phospho-vanillin colorimetric method according to published methods (Cheng et al., 2011). Total lipids were extracted as previously published (Laggai et al., 2013). Dry lipids were dissolved in chloroform/methanol (2:1; v/v), loaded into glass vials, from which the solvent was evaporated at 90°C. After cooling the samples down to room temperature samples were incubated with 100 μl sulfuric acid (conc.) at 90°C for 20 min and afterwards cooled down to room temperature on ice. Fifty microliters of vanillin-phosphoric acid (0.2 mg vanillin per ml 17% ortho-phosphoric acid) were added, incubated for 10 min, and 100 μl of the colored solutions were transferred to 96 well plate before measurement of the absorbance at 550 nm in a Sunrise™ Basic plate reader (Tecan, Maennedorf, Switzerland).

Quantification of lipid classes by thin layer chromatography (TLC)

Lipid extraction and TLC analysis was performed as recently described using a sulfuric acid/ethanol mixture for detection (Laggai et al., 2013). Fifteen milligrams of the freeze-dried tissue was dispersed with a mixture of hexane/2-propanol [3:2 (v/v)] for 10 min, and centrifuged at 4°C and 10,000 g for 10 min. The supernatant was dried under a nitrogen stream, redissolved in chloroform/methanol [1:1 (v/v)], and applied in equal amounts onto the TLC plates. After prewashing with a mixture of chloroform/methanol [2:1 (v/v)] TLC plates were activated at 110°C for 1 h. The samples and standard substances were applied onto the TLC plates, which were developed in chloroform/methanol/acetic acid/water [50:30:8:3 (v/v/v/v)] until the liquid phase front reached half of the plate. Then the development was stopped, the plate was dried, and then fully developed in heptane/diethyl ether/acetic acid [70:30:2 (v/v/v)]. The ratio area density of each band was quantified using the ImageJ software as described in Laggai et al. (2013).

Fluorescence staining for lipids and unesterified cholesterol

For lipid staining, cryo liver sections (5 μm; co, n = 10; Igf2, n = 11) were fixed with 4% normal buffered formalin for 5 min, washed three times for 10 min with PBS, incubated with the highly selective fluorescent lipid dye LD540 (Astanina et al., 2015) (0.5 μg/ml in PBS) for 15 min at room temperature, washed three times with PBS for 10 min, incubated for 1 min with diaminophenylindol HCl (DAPI) (D9542, Sigma Aldrich) at a concentration of 1 μg/ml, and afterwards washed three times with PBS. For the staining of free cholesterol, we performed filipin (F4767-1 mg, Sigma Aldrich) staining according to published methods (Ioannou et al., 2013; Simon et al., 2014b). All steps were performed under exclusion of direct light. Slides were embedded in the water based FluoroSafe™ mounting medium and visualized with an inverse fluorescence microscope at 558/583 (excitation/emission) for LD540 and at 359/461 (excitation/emission) for DAPI and filipin (Axio Observer, Zeiss, Feldbach, Swiss). Five randomly selected pictures from each sample were collected.

Determination of lipid droplet properties

Lipid droplet (LD) number, size, and area were estimated from LD540 and DAPI stained slides as described above. The five randomly selected pictures from each sample were analyzed using the “analyse particles” function of ImageJ 1.47i (Schneider et al., 2012) as described in published methods (Beller et al., 2008; Sjøbakk et al., 2013). The lipid droplets and nuclei were segmented using a manual threshold. Watershed processing was performed to separate LDs and nuclei. Measurements on the edges were excluded and lipid droplets were measured in a pixel size from one to infinity and nuclei were measured in a pixel size from fifty to infinity and both with parameters for circularity from zero to one. The total number of particles and the respective area were measured. The results were validated by the use of the ImageJ plugin Lipid Droplet Counter (Author: Samuel Moll; http://imagejdocu.tudor.lu/doku.php?id=plugin:analysis:droplet_counter:start) as previously published (Mahammad and Parmryd, 2008; Astanina et al., 2015). The LD number and the total area were normalized on the nuclei number from each picture and the mean of the five pictures per slide was estimated. Average lipid droplet size was estimated as the mean area of all single lipid droplets per picture and the five pictures per slide.

Cholesterol and fatty acid measurement by gas chromatography-mass spectrometry (GC-MS)

Cholesterol and fatty acids were measured by GC-MS as reported recently (Simon et al., 2014b).

Statistical analysis

Data analysis and statistics were performed with the Origin 8.6 software (OriginLab Corporation, Northampton, USA). Results are expressed as mean ± SEM. The statistical significance for normally distributed data was determined by independent two-sample t-test, for non-normally distributed data non-parametric Wilcoxon rank sum test was employed. p < 0.05 were considered as statistically significant.

Results

Validation of the Igf2 hydrodynamic gene delivery and characterization of the Igf2 model

Hydrodynamic gene delivery has been widely used for the overexpression of plasmid DNA and the desired product in murine livers (Zhu et al., 2006; Magnusson et al., 2011; Pinheiro et al., 2013; Timmermans et al., 2015). Concordantly, total Igf2 mRNA was highly expressed by the injection of the Igf2 plasmid (Figure 2A). Exogenously delivered Igf2 had no influence on the endogenic Igf2 mRNA levels (Figure 2B). As a marker for IGF2-induced insulin signaling the downstream anti-apoptotic effector of IGF2, AKT (Hamamura et al., 2008; Tybl et al., 2011), was phosphorylated and therefore activated (Figure 2C). The liver weight of the Igf2 injected animals was not altered after 7 days (Figure 2D), nor were the serum parameters glucose, HDL, and triglycerides (Figure 2E). Interestingly, though, serum cholesterol was increased (Kobayashi et al., 2004). Hydrodynamic gene delivery usually increases ALT and AST levels, which return to normal after 3 days. In the Igf2 injected animals ALT was decreased, and also AST showed a strong tendency of lower levels compared to animals obtaining the Luc control plasmid. Reduced liver damage is most likely linked to cytoprotective actions of IGF2 (Nielsen, 1992; O'Dell and Day, 1998). The AST/ALT ratio remained unaffected in the Igf2 injected animals compared to the controls (p = 0.57, co, n = 10; Igf2, n = 11, Wilcoxon rank sum test).

Figure 2.

Figure 2

Characterization of the IGF2 overexpression model. (A) Exogenous Igf2 mRNA after hydrodynamic gene delivery of the Igf2 plasmid (Igf2) compared to the control plasmid (co), real-time RT-PCR (co, n = 10; Igf2, n = 11, Wilcoxon rank sum test). Data were normalized to 18S mRNA. (B) Endogenous Igf2 mRNA levels, real-time RT-PCR (co, n = 10; Igf2, n = 11, independent two-sample t-test), were normalized to 18S mRNA and co. (C) Western blot analysis of phosphorylated and total AKT protein levels (co, n = 8; Igf2, n = 9, independent two-sample t-test), densitometric data were normalized to α-tubulin and co. (D) Liver weight on day 7 after plasmid injection (co, n = 10; Igf2, n = 11, independent two-sample t-test). (E) Serum parameters 2 days (glucose) or 7 days (other parameters) after plasmid injection. Glucose and triglycerides (co, n = 10; Igf2, n = 11, independent two-sample t-test). Cholesterol, HDL, AST, and ALT (co, n = 10; Igf2, n = 11, Wilcoxon rank sum test). All results are presented as mean ± SEM.

Igf2 induces steatotic histology and lipid accumulation

Scharlach Red staining (Figure 3A) showed that IGF2 induced features of mild steatosis without any specific zonation of lipid accumulation. The colorimetric quantification of total lipids confirmed significantly increased hepatic lipid content (Figure 3B). Interestingly, signs of liver inflammation, as validated by the widely used macrophage specific marker (Khazen et al., 2005; Laggai et al., 2014). EGF-like module-containing mucin-like hormone receptor-like 1 (Emr1/F4/80) mRNA levels, were absent in the livers of Igf2 injected animals (Figure 3C). Since also human steatosis is characterized not only by quantitative, but also by qualitative changes in lipid and fatty acid composition (Puri et al., 2007, 2009), we employed TLC and GC-MS methods in order to decipher the respective composition. Interestingly, the most distinct increases were found for cholesterol and the phospholipids phosphatidylethanolamine, phosphatidylserine, and phosphatidylcholine (Figure 3D). Neither triglyceride nor ceramide levels were significantly different (Figure 3D). GC-MS analyses confirmed the increase in liver cholesterol (p = 0.03, co, n = 10; Igf2, n = 11, Wilcoxon rank sum test). Measurement of single fatty acids revealed a slight increase of docosahexanoic acid in Igf2 mice (7.75 ± 0.09 compared to 6.99 ± 0.18 μg/mg tissue in control animals; p = 0.008). All other fatty acids were not altered (data not shown).

Figure 3.

Figure 3

IGF2 induces lipid accumulation without inflammation. (A) Representative Scharlach Red staining for lipids (red staining) in animals injected with Igf2 plasmid (Igf2) compared to the control plasmid (co), nuclei were counterstained with hematoxylin. Original magnification was 200 × or 400 × (each group, n = 4). (B) Quantification of total lipids via sulfo-phospho-vanillin colorimetric assay. Igf2 animals normalized to co animals (co, n = 10; Igf2, n = 11, independent two-sample t-test). (C) mRNA levels of the macrophage marker Emr1 (F4/80), real-time RT-PCR (co, n = 10; Igf2, n = 11, independent two-sample t-test). Data were normalized to 18S mRNA and co. (D) Quantification of lipid classes by TLC: triglycerides (TG), cholesterol (CH), ceramides (CER), phosphatidylethanolamine (PE), phosphatidylserine (PS), and phosphatidylcholine (PC) in Igf2 animals normalized to co animals (co, n = 10; Igf2, n = 11, independent two-sample t-test). All results are presented as mean ± SEM.

Igf2 induces lipid droplet formation and free cholesterol

Since phospholipid levels were elevated and phospholipids are mainly incorporated into the lipid droplet coat and into cell membranes, we analyzed lipid droplet size and number. Lipid droplet staining with LD540 revealed an increased number of lipid droplets in the livers of Igf2 injected mice, but the lipid droplet size showed no distinct alteration (Figure 4A). The livers of Igf2 injected mice also showed a higher amount of free cholesterol visualized with filipin staining (Figure 4B). Concordantly, the mRNA level of the key enzyme involved in cholesterol biosynthesis, hydroxy-methyl-glutaryl-coenzyme A reductase (Hmgcr) (Lonardo and Loria, 2012), was upregulated in livers of Igf2 injected animals (Figure 4C).

Figure 4.

Figure 4

IGF2 induces lipid droplet formation but has no influence on lipid droplet size. (A) Representative LD540 fluorescence staining for lipid droplets (LD, yellow droplets) in animals injected with Igf2 plasmid (Igf2) compared to the control plasmid (co), nuclei were stained with DAPI (blue) (scale bar: 20 μm) (upper panel). Five randomly selected pictures per sample were collected and analyzed with ImageJ. Counted LDs were normalized to the nuclei count (lower panel, left). Total LD area was normalized to the nuclei count (lower panel, middle). Total LD size was estimated as the mean area of all counted LDs (lower panel, right) (co, n = 10; Igf2, n = 11, independent two-sample t-test). (B) Representative filipin fluorescence staining for free cholesterol (black droplets) in Igf2 and co animals (co, n = 10; Igf2, n = 11, arrows designate examples for free cholesterol). (C) Levels of Hmgcr mRNA, real-time RT-PCR (co, n = 10; Igf2, n = 11, Wilcoxon rank sum test). Data were normalized to 18S mRNA and co. All results are presented as mean ± SEM.

Igf2 effects on transcriptional regulators of lipogenesis

Igf2 injection induced the expression of the lipogenic transcription factor SREBF1 on mRNA (Figure 5A) and protein (Figure 5A) level. Accordingly, a number of direct transcriptional targets of SREBF1 were slightly induced (Figure 5B). The glucose dependent transcriptional regulator of lipogenic genes carbohydrate response element binding protein (Mlxipl) (Postic and Girard, 2008) was not affected (Figure 5C) by the Igf2-induced activation of the insulin pathway. Interestingly, the gene expression of the main transcriptional regulator of MLXIPL and SREBF1 itself, liver-X-receptor alpha (Nr1h3), was not regulated by Igf2 (Figure 5D). Igf2 injection induced the expression of carnitine palmitoyltransferase 1A (Cpt1a) mRNA (Figure 5E), which is responsible for mitochondrial fatty acid oxidation (Reddy and Rao, 2006), and had rather no effect on mRNA of the peroxisomal fatty acid oxidation inducing peroxisome proliferator activated receptor alpha (Ppara) (Reddy, 2001) (Figure 5F).

Figure 5.

Figure 5

Igf2 induces lipogenesis. (A) Lipogenic transcription factor Srebf1c mRNA (left) and SREBF1 protein (right) compared to the control plasmid (co). Left: real-time RT-PCR data (co, n = 10; Igf2, n = 11, independent two-sample t-test) were normalized to 18S mRNA and co. Right: Western blot analysis of SREBF1 (co, n = 8; Igf2, n = 9, independent two-sample t-test), densitometric data were normalized to α-tubulin and co. (B) Expression of SREBF1 target genes Fasn, Elovl6, Acaca, Scd, Gck determined by real-time RT-PCR (co, n = 10; Igf2, n = 11), normalized to 18S mRNA. Data are shown as fold of co. (c-f) Mlxipl (C), Nr1h3 (D), Cpt1 (E), Ppara (F) mRNA expression, determined by real-time RT-PCR data (co, n = 10; Igf2, n = 11, independent two-sample t-test), normalized to 18S mRNA and co. All results are presented as mean ± SEM.

Discussion

IGF2 has been described to be overexpressed in cirrhosis and HCC (Iizuka et al., 2002; Sedlaczek et al., 2003; Couvert et al., 2008; Kessler et al., 2013). Interestingly, despite two studies describing elevated IGF2 in human steatosis and steatohepatitis (Chiappini et al., 2006) and elevated Igf2 in murine steatosis (Tybl et al., 2011) and one study showing serum IGF2 inversely correlating with NAFLD-related fibrosis, functional implications of IGF2 in steatosis development are completely unknown. In contrast to IGF2, IGF1 was shown to be downregulated in steatosis (Völzke et al., 2009; Mallea-Gil et al., 2012). Whether the observed downregulation of IGF1 in steatotic patients has a functional role in steatosis development, however, has not been evaluated sufficiently in the literature. To our knowledge, only one study showed that IGF1 can antagonize growth hormone deficiency-induced steatosis (Nishizawa et al., 2012). Up to now it is not completely clear, what distinguishes the effects of IGF2 from the ones of IGF1 in steatosis. Still, the two IGFs show different receptor binding affinities for the IGF and insulin receptors (reviewed in White, 2003, 2006) and therefore signaling can be different. Furthermore, the different expression of both IGFs during development (reviewed in Nakae et al., 2001) also points to specific actions of IGF1 or IGF2, respectively.

Our model of transient hepatic overexpression of IGF2 revealed a causal link of IGF2 overexpression and lipid accumulation. The lack of any zonation in this model is in line with findings in a model of Igf2 mRNA binding protein 2-2 transgenic mice (Tybl et al., 2011), in which the lipid accumulation is IGF2-dependent (Laggai et al., 2014). When compared with other vector-mediated gene delivery systems, such as viral systems, transient overexpression by hydrodynamic gene delivery has the advantage of being a simple method without the requirement of long and laborious preparation of virus or any special gene transfer device. Furthermore, complications known from adenoviral vectors, such as host immune responses and loss of transfected cells, can be avoided (Zhu et al., 2006).

Interestingly, especially phospholipids were increased in IGF2 overexpressing livers. The LD membrane consists of a phospholipid monolayer, in which phosphatidylcholine is the most prominent phospholipid (Leber et al., 1994). The number of LDs of various sizes has been reported to be increased in murine steatosis (Kochan et al., 2013). Acute steatosis is characterized by rather small LDs, which maturate in chronic steatosis (Pawella et al., 2014).

Also serum levels of phospholipids have been demonstrated to be elevated in NASH patients (Anjani et al., 2015), but were also reported to be decreased during NAFLD progression (Puri et al., 2007), and discussed to have hepato-protective effects (Chamulitrat et al., 2009). Beside the cytoprotective effect of IGF2 the increased phospholipids might be a reason for the lack of an increase in transaminases, since NAFLD is usually accompanied by an increase in transaminases, especially ALT. However, significant liver disease can exist with transaminase levels in the normal range (Papandreou et al., 2007).

LDs were reported to contain high levels of free cholesterol in adipocytes (Prattes et al., 2000). In line with this finding IGF2 overexpressing livers showed increased free cholesterol levels. Steatosis is defined by an accumulation of fat in the liver, mostly in the form of triglycerides (Cohen et al., 2011), but also several other lipid classes, e.g., cholesterol and phospholipids, are stored (Alkhouri et al., 2009). Interestingly, accumulation of triglycerides is not needed for the development of NASH per se and might have a rather protective effect (McClain et al., 2007; Yilmaz, 2012). The accumulation of free cholesterol was suggested to play a critical role in NASH development (Tomita et al., 2014) and was shown to positively correlate with the severity of NASH (Caballero et al., 2009; Van Rooyen et al., 2011; Min et al., 2012; Ioannou et al., 2013; Simon et al., 2014b; Tomita et al., 2014). Diet-induced hepatic cholesterol uptake was shown to specifically increase hepatic cholesterol, but not triglycerides (Marí et al., 2006). The latter study underlines that free cholesterol accumulation, but not triglycerides or free fatty acid storage, plays a key role in sensitizing the liver to the development of hepatic inflammation.

Since both the key enzyme in cholesterol biosynthesis, HMG-CoAR, and blood cholesterol levels were elevated in IGF2 overexpressing animals, we suggest that cholesterol accumulation in these animals is due to increased de novo synthesis of cholesterol. HMG-CoAR is usually induced by SREBF2, but can also be upregulated by SREBF1 (Horton et al., 1998). De novo lipid synthesis is regulated in a complex interplay induced by a set of lipogenic transcription factors, such as liver X receptor alpha (LXR-α/NR1H3), sterol regulatory element binding transcription factor 1 (SREBF1/SREBP1), and carbohydrate responsive element binding protein (ChREBP/MLXIPL) (Musso et al., 2009). IGF2 as well as IGF1 and insulin treatment have been shown to induce SREBF1 via activation of the insulin and IGF1 receptor (Smith et al., 2008; Laggai et al., 2014). SREBF1 target genes, which are also involved in de novo lipid synthesis and steatosis development (Postic and Girard, 2008), were slightly upregulated in IGF2 overexpressing mice supporting lipogenic actions of IGF2. One of the most relevant inducers of lipid degradation in the liver is PPARa (Lefebvre et al., 2006), which was downregulated in IGF2 overexpressing mice. Upregulation of lipolytic Cpt1a, as also observed in IGF2 overexpressing livers, has been described as a compensatory mechanism, which is not able to prevent steatosis (Monetti et al., 2007; Monsénégo et al., 2012).

Taken together, our data show that hepatic IGF2 overexpression can lead to an increased lipid droplet formation and free cholesterol accumulation and might therefore play a causal role in steatosis initiation.

Author contributions

SL performed most of the experiments. EW, RV, and CL performed the hydrodynamic gene delivery. SL and MO planned and performed the cloning. KG and RM performed GC-MS measurements. JH did the histological analysis. SK, SL, and AK planned experiments, analyzed data, and wrote the manuscript. AK designed and directed the study. All authors critically revised the work, approved the final version of the manuscript to be published, and agreed to be accountable for all aspects of the work.

Funding

The project was funded, in part, by the Else Kröner-Fresenius-Stiftung (2012_A250 to AK and SK) and the Graduiertenförderung of Saarland University (to SL).

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

The project was funded, in part, by the Else Kröner-Fresenius-Stiftung (2012_A250 to AK and SK) and the Graduiertenförderung of Saarland University (to SL). This is a short text to acknowledge the contributions of specific colleagues, institutions, or agencies that aided the efforts of the authors.

References

  1. Alkhouri N., Dixon L. J., Feldstein A. E. (2009). Lipotoxicity in nonalcoholic fatty liver disease: Not all lipids are created equal. Expert Rev. Gastroenterol. Hepatol. 3, 445. 10.1586/egh.09.32 [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Anjani K., Lhomme M., Sokolovska N., Poitou C., Aron-Wisnewsky J., Bouillot J. L., et al. (2015). Circulating phospholipid profiling identifies portal contribution to NASH signature in obesity. J. Hepatol. 62, 905. 10.1016/j.jhep.2014.11.002 [DOI] [PubMed] [Google Scholar]
  3. Aslan O., Hamill R. M., Davey G., McBryan J., Mullen A. M., Gispert M., et al. (2012). Variation in the IGF2 gene promoter region is associated with intramuscular fat content in porcine skeletal muscle. Mol. Biol. Rep. 39, 4101. 10.1007/s11033-011-1192-5 [DOI] [PubMed] [Google Scholar]
  4. Astanina K., Koch M., Jüngst C., Zumbusch A., Kiemer A. K. (2015). Lipid droplets as a novel cargo of tunnelling nanotubes in endothelial cells. Sci. Rep. 5, 11453. 10.1038/srep11453 [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Beller M., Sztalryd C., Southall N., Bell M., Jäckle H., Auld D. S., et al. (2008). COPI complex is a regulator of lipid homeostasis. PLoS Biol. 6:e292. 10.1371/journal.pbio.0060292 [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Caballero F., Fernández A., De Lacy A. M., Fernández-Checa J. C., Caballería J., García-Ruiz C. (2009). Enhanced free cholesterol, SREBP-2 and StAR expression in human NASH. J. Hepatol. 50, 789. 10.1016/j.jhep.2008.12.016 [DOI] [PubMed] [Google Scholar]
  7. Chamulitrat W., Burhenne J., Rehlen T., Pathil A., Stremmel W. (2009). Bile salt-phospholipid conjugate ursodeoxycholyl lysophosphatidylethanolamide as a hepatoprotective agent. Hepatology 50, 143–154. 10.1002/hep.22955 [DOI] [PubMed] [Google Scholar]
  8. Cheng Y. S., Zheng Y., VanderGheynst J. S. (2011). Rapid quantitative analysis of lipids using a colorimetric method in a microplate format. Lipids 46, 95. 10.1007/s11745-010-3494-0 [DOI] [PubMed] [Google Scholar]
  9. Chiappini F., Barrier A., Saffroy R., Domart M. C., Dagues N., Azoulay D., et al. (2006). Exploration of global gene expression in human liver steatosis by high-density oligonucleotide microarray. Lab. Invest. 86, 154. 10.1038/labinvest.3700374 [DOI] [PubMed] [Google Scholar]
  10. Cianfarani S., Inzaghi E., Alisi A., Germani D., Puglianiello A., Nobili V. (2014). Insulin-like growth factor-I and -II levels are associated with the progression of nonalcoholic fatty liver disease in obese children. J. Pediatr. 165, 92. 10.1016/j.jpeds.2014.01.052 [DOI] [PubMed] [Google Scholar]
  11. Cohen J. C., Horton J. D., Hobbs H. H. (2011). Human fatty liver disease: old questions and new insights. Science 332, 1519. 10.1126/science.1204265 [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Couvert P., Carrié A., Pariès J., Vaysse J., Miroglio A., Kerjean A., et al. (2008). Liver insulin-like growth factor 2 methylation in hepatitis C virus cirrhosis and further occurrence of hepatocellular carcinoma. World J. Gastroenterol. 14, 5419. 10.3748/wjg.14.5419 [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. De Minicis S., Agostinelli L., Rychlicki C., Sorice G. P., Saccomanno S., Candelaresi C., et al. (2014). HCC development is associated to peripheral insulin resistance in a mouse model of NASH. PLoS ONE 9:e97136. 10.1371/journal.pone.0097136 [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Deodati A., Inzaghi E., Liguori A., Puglianiello A., Germani D., Brufani C., et al. (2013). IGF2 methylation is associated with lipid profile in obese children. Horm. Res. Paediatr. 79, 361. 10.1159/000351707 [DOI] [PubMed] [Google Scholar]
  15. Faienza M. F., Santoro N., Lauciello R., Calabrò R., Giordani L., Di Salvo G., et al. (2010). IGF2 gene variants and risk of hypertension in obese children and adolescents. Pediatr. Res. 67, 340. 10.1203/PDR.0b013e3181d22757 [DOI] [PubMed] [Google Scholar]
  16. Hamamura K., Zhang P., Yokota H. (2008). IGF2-driven PI3 kinase and TGFbeta signaling pathways in chondrogenesis. Cell Biol. Int. 32, 1238–1246. 10.1016/j.cellbi.2008.07.007 [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Herweijer H., Wolff J. A. (2006). Gene therapy progress and prospects: Hydrodynamic gene delivery. Gene Ther. 14, 99. 10.1038/sj.gt.3302891 [DOI] [PubMed] [Google Scholar]
  18. Horie Y., Suzuki A., Kataoka E., Sasaki T., Hamada K., Sasaki J., et al. (2004). Hepatocyte-specific Pten deficiency results in steatohepatitis and hepatocellular carcinomas. J. Clin. Invest. 113, 1774. 10.1172/JCI20513 [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Horton J. D., Bashmakov Y., Shimomura I., Shimano H. (1998). Regulation of sterol regulatory element binding proteins in livers of fasted and refed mice. Proc. Natl. Acad. Sci. U.S.A. 95, 5987–5992. 10.1073/pnas.95.11.5987 [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Iizuka N., Oka M., Yamada-Okabe H., Mori N., Tamesa T., Okada T., et al. (2002). Comparison of gene expression profiles between hepatitis B virus- and hepatitis C virus-infected hepatocellular carcinoma by oligonucleotide microarray data on the basis of a supervised learning method. Cancer Res. 62, 3939. [PubMed] [Google Scholar]
  21. Ioannou G. N., Haigh W. G., Thorning D., Savard C. (2013). Hepatic cholesterol crystals and crown-like structures distinguish NASH from simple steatosis. J. Lipid Res. 54, 1326–1334. 10.1194/jlr.M034876 [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Jemal A., Bray F., Center M. M., Ferlay J., Ward E., Forman D. (2011). Global cancer statistics. CA Cancer J. Clin. 61, 69. 10.3322/caac.20107 [DOI] [PubMed] [Google Scholar]
  23. Kessler S. M., Pokorny J., Zimmer V., Laggai S., Lammert F., Bohle R. M., et al. (2013). IGF2 mRNA binding protein p62/IMP2-2 in hepatocellular carcinoma: antiapoptotic action is independent of IGF2/PI3K signaling. Am. J. Physiol. Gastrointest. Liver Physiol. 304, G328–G336. 10.1152/ajpgi.00005.2012 [DOI] [PubMed] [Google Scholar]
  24. Khazen W., M'Bika J. P., Tomkiewicz C., Benelli C., Chany C., Achour A., et al. (2005). Expression of macrophage-selective markers in human and rodent adipocytes. FEBS Lett. 579, 5631–5634. 10.1016/j.febslet.2005.09.032 [DOI] [PubMed] [Google Scholar]
  25. Kiemer A. K., Senaratne R. H., Hoppstädter J., Diesel B., Riley L. W., Tabeta K., et al. (2009). Attenuated activation of macrophage TLR9 by DNA from virulent mycobacteria. J. Innate Immun. 1, 29. 10.1159/000142731 [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Kobayashi N., Nishikawa M., Hirata K., Takakura Y. (2004). Hydrodynamics-based procedure involves transient hyperpermeability in the hepatic cellular membrane: implication of a nonspecific process in efficient intracellular gene delivery. J. Gene Med. 6, 584. 10.1002/jgm.541 [DOI] [PubMed] [Google Scholar]
  27. Kochan K., Marzec K. M., Chruszcz-Lipska K., Jasztal A., Maslak E., Musiolik H., et al. (2013). Pathological changes in the biochemical profile of the liver in atherosclerosis and diabetes assessed by Raman spectroscopy. Analyst 138, 3885. 10.1039/c3an00216k [DOI] [PubMed] [Google Scholar]
  28. Laggai S., Kessler S. M., Boettcher S., Lebrun V., Gemperlein K., Lederer E., et al. (2014). The IGF2 mRNA binding protein p62/IGF2BP2-2 induces fatty acid elongation as a critical feature of steatosis. J. Lipid Res. 55, 1087–1097. 10.1194/jlr.M045500 [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Laggai S., Simon Y., Ranssweiler T., Kiemer A. K., Kessler S. M. (2013). Rapid chromatographic method to decipher distinct alterations in lipid classes in NAFLD/NASH. World J. Hepatol. 5, 558–567. 10.4254/wjh.v5.i10.558 [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Leber R., Zinser E., Zellnig G., Paltauf F., Daum G. (1994). Characterization of lipid particles of the yeast; Saccharomyces cerevisiae. Yeast 10, 1421. 10.1002/yea.320101105 [DOI] [PubMed] [Google Scholar]
  31. Lefebvre P., Chinetti G., Fruchart J.-C., Staels B. (2006). Sorting out the roles of PPARalpha in energy metabolism and vascular homeostasis. J. Clin. Invest. 116, 571. 10.1172/JCI27989 [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Liu F., Song Y. K., Liu D. (1999). Hydrodynamics-based transfection in animals by systemic administration of plasmid DNA. Gene Ther. 6, 1258. 10.1038/sj.gt.3300947 [DOI] [PubMed] [Google Scholar]
  33. Liu M., Zhang S. L., Cheng J., Liu Y., Wang L., Shao Q., et al. (2005). Genes transactivated by hepatitis C virus core protein, a microarray assay. World J. Gastroenterol. 11, 3351. 10.3748/wjg.v11.i22.3351 [DOI] [PMC free article] [PubMed] [Google Scholar]
  34. Lonardo A., Loria P. (2012). Potential for statins in the chemoprevention and management of hepatocellular carcinoma. J. Gastroenterol. Hepatol. 27, 1654–1664. 10.1111/j.1440-1746.2012.07232.x [DOI] [PubMed] [Google Scholar]
  35. Magnusson T., Haase R., Schleef M., Wagner E., Ogris M. (2011). Sustained, high transgene expression in liver with plasmid vectors using optimized promoter-enhancer combinations. J. Gene Med. 13, 382–391. 10.1002/jgm.1585 [DOI] [PubMed] [Google Scholar]
  36. Mahammad S., Parmryd I. (2008). Cholesterol homeostasis in T cells. Methyl-beta-cyclodextrin treatment results in equal loss of cholesterol from Triton X-100 soluble and insoluble fractions. Biochim. Biophys. Acta 1778, 1251. 10.1016/j.bbamem.2008.02.010 [DOI] [PubMed] [Google Scholar]
  37. Mallea-Gil M. S., Ballarino M. C., Spiraquis A., Iriarte M., Kura M., Gimenez S., et al. (2012). IGF-1 levels in different stages of liver steatosis and its association with metabolic syndrome. Acta Gastroenterol. Latinoam. 42, 20–26. [PubMed] [Google Scholar]
  38. Marí M., Caballero F., Colell A., Morales A., Caballeria J., Fernandez A., et al. (2006). Mitochondrial free cholesterol loading sensitizes to TNF- and Fas-mediated steatohepatitis. Cell Metab. 4, 185–198. 10.1016/j.cmet.2006.07.006 [DOI] [PubMed] [Google Scholar]
  39. McClain C. J., Barve S., Deaciuc I. (2007). Good fat/bad fat. Hepatology 45, 1343–1346. 10.1002/hep.21788 [DOI] [PubMed] [Google Scholar]
  40. Min H.-K., Kapoor A., Fuchs M., Mirshahi F., Zhou H., Maher J., et al. (2012). Increased hepatic synthesis and dysregulation of cholesterol metabolism is associated with the severity of nonalcoholic fatty liver disease. Cell Metab. 15, 665. 10.1016/j.cmet.2012.04.004 [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Monetti M., Levin M. C., Watt M. J., Sajan M. P., Marmor S., Hubbard B. K., et al. (2007). Dissociation of hepatic steatosis and insulin resistance in mice overexpressing DGAT in the liver. Cell Metab. 6, 69. 10.1016/j.cmet.2007.05.005 [DOI] [PubMed] [Google Scholar]
  42. Monsénégo J., Mansouri A., Akkaoui M., Lenoir V., Esnous C., Fauveau V., et al. (2012). Enhancing liver mitochondrial fatty acid oxidation capacity in obese mice improves insulin sensitivity independently of hepatic steatosis. J. Hepatol. 56, 632. 10.1016/j.jhep.2011.10.008 [DOI] [PubMed] [Google Scholar]
  43. Musso G., Gambino R., Cassader M. (2009). Recent insights into hepatic lipid metabolism in non-alcoholic fatty liver disease (NAFLD). Prog. Lipid Res. 48, 1. 10.1016/j.plipres.2008.08.001 [DOI] [PubMed] [Google Scholar]
  44. Nakae J., Kido Y., Accili D. (2001). Distinct and overlapping functions of insulin and IGF-I receptors. Endocr. Rev. 22, 818–835. 10.1210/edrv.22.6.0452 [DOI] [PubMed] [Google Scholar]
  45. Nguyen H., Sankaran S., Dandekar S. (2006). Hepatitis C virus core protein induces expression of genes regulating immune evasion and anti-apoptosis in hepatocytes. Virology 354, 58–68. 10.1016/j.virol.2006.04.028 [DOI] [PubMed] [Google Scholar]
  46. Nielsen F. C. (1992). The molecular and cellular biology of insulin-like growth factor II. Cytokine Growth Factor Rev. 4, 257. 10.1016/0955-2235(92)90023-b [DOI] [PubMed] [Google Scholar]
  47. Nishizawa H., Takahashi M., Fukuoka H., Iguchi G., Kitazawa R., Takahashi Y. (2012). GH-independent IGF-I action is essential to prevent the development of nonalcoholic steatohepatitis in a GH-deficient rat model. Biochem. Biophys. Res. Commun. 423, 295–300. 10.1016/j.bbrc.2012.05.115 [DOI] [PubMed] [Google Scholar]
  48. O'Dell S. D., Day I. N. M. (1998). Insulin-like growth factor II (IGF-II). Int. J. Biochem. Cell Biol. 30, 767. 10.1016/S1357-2725(98)00048-X [DOI] [PubMed] [Google Scholar]
  49. Papandreou D., Rousso I., Mavromichalis I. (2007). Update on non-alcoholic fatty liver disease in children. Clin. Nutr. 26, 409–415. 10.1016/j.clnu.2007.02.002 [DOI] [PubMed] [Google Scholar]
  50. Pawella L. M., Hashani M., Eiteneuer E., Renner M., Bartenschlager R., Schirmacher P., et al. (2014). Perilipin discerns chronic from acute hepatocellular steatosis. J. Hepatol. 60, 633. 10.1016/j.jhep.2013.11.007 [DOI] [PubMed] [Google Scholar]
  51. Pinheiro I., Dejager L., Petta I., Vandevyver S., Puimège L., Mahieu T., et al. (2013). LPS resistance of SPRET/Ei mice is mediated by Gilz, encoded by the Tsc22d3 gene on the X chromosome. EMBO Mol. Med. 5, 456–470. 10.1002/emmm.201201683 [DOI] [PMC free article] [PubMed] [Google Scholar]
  52. Postic C., Girard J. (2008). Contribution of de novo fatty acid synthesis to hepatic steatosis and insulin resistance: lessons from genetically engineered mice. J. Clin. Invest. 118, 829. 10.1172/JCI34275 [DOI] [PMC free article] [PubMed] [Google Scholar]
  53. Prattes S., Hörl G., Hammer A., Blaschitz A., Graier W. F., Sattler W., et al. (2000). Intracellular distribution and mobilization of unesterified cholesterol in adipocytes: triglyceride droplets are surrounded by cholesterol-rich ER-like surface layer structures. J. Cell Sci. 113, 2977–2989. [DOI] [PubMed] [Google Scholar]
  54. Puri P., Baillie R. A., Wiest M. M., Mirshahi F., Choudhury J., Cheung O., et al. (2007). A lipidomic analysis of nonalcoholic fatty liver disease. Hepatology 46, 1081–1090. 10.1002/hep.21763 [DOI] [PubMed] [Google Scholar]
  55. Puri P., Wiest M. M., Cheung O., Mirshahi F., Sargeant C., Min H. K., et al. (2009). The plasma lipidomic signature of nonalcoholic steatohepatitis. Hepatology 50, 1827–1838. 10.1002/hep.23229 [DOI] [PMC free article] [PubMed] [Google Scholar]
  56. Reddy J. K. (2001). Nonalcoholic steatosis and steatohepatitis. III. Peroxisomal beta-oxidation, PPAR alpha, and steatohepatitis. Am. J. Physiol. Gastrointest. Liver Physiol. 281, G1333–G1339. [DOI] [PubMed] [Google Scholar]
  57. Reddy J. K., Rao M. S. (2006). Lipid metabolism and liver inflammation. II. Fatty liver disease and fatty acid oxidation. Am. J. Physiol. Gastrointest Liver Physiol. 290, G852–G858. 10.1152/ajpgi.00521.2005 [DOI] [PubMed] [Google Scholar]
  58. Rogler C. E., Yang D., Rossetti L., Donohoe J., Alt E., Chang C. J., et al. (1994). Altered body composition and increased frequency of diverse malignancies in insulin-like growth factor-II transgenic mice. J. Biol. Chem. 269, 13779–13784. [PubMed] [Google Scholar]
  59. Schneider C. A., Rasband W. S., Eliceiri K. W. (2012). NIH Image to ImageJ: 25 years of image analysis. Nat. Methods 9, 671–675. 10.1038/nmeth.2089 [DOI] [PMC free article] [PubMed] [Google Scholar]
  60. Sedlaczek N., Hasilik A., Neuhaus P., Schuppan D., Herbst H. (2003). Focal overexpression of insulin-like growth factor 2 by hepatocytes and cholangiocytes in viral liver cirrhosis. Br. J. Cancer 88, 733. 10.1038/sj.bjc.6600777 [DOI] [PMC free article] [PubMed] [Google Scholar]
  61. Simon Y., Kessler S. M., Bohle R. M., Haybaeck J., Kiemer A. K. (2014a). The insulin-like growth factor 2 (IGF2) mRNA-binding protein p62/IGF2BP2-2 as a promoter of NAFLD and HCC? Gut 63, 861–863. 10.1136/gutjnl-2013-305736 [DOI] [PMC free article] [PubMed] [Google Scholar]
  62. Simon Y., Kessler S. M., Gemperlein K., Bohle R. M., Müller R., Haybaeck J., et al. (2014b). Elevated free cholesterol as a hallmark of non-alcoholic steatohepatitis in p62/insulin-like growth factor 2 mRNA binding protein 2-2 transgenic animals. World J. Gastroenterol. 20, 17839–17850. 10.3748/wjg.v20.i47.17839 [DOI] [PMC free article] [PubMed] [Google Scholar]
  63. Sjøbakk T. E., Vettukattil R., Gulati M., Gulati S., Lundgren S., Gribbestad I. S., et al. (2013). Metabolic profiles of brain metastases. Int. J. Mol. Sci. 14, 2104–2118. 10.3390/ijms14012104 [DOI] [PMC free article] [PubMed] [Google Scholar]
  64. Smith T. M., Gilliland K., Clawson G. A., Thiboutot D. (2008). IGF-1 induces SREBP-1 expression and lipogenesis in SEB-1 sebocytes via activation of the Phosphoinositide 3-kinase (PI3-K)/Akt pathway. J. Invest. Dermatol. 128, 1286. 10.1038/sj.jid.5701155 [DOI] [PMC free article] [PubMed] [Google Scholar]
  65. Su B., Cengizeroglu A., Farkasova K., Viola J. R., Anton M., Ellwart J. W., et al. (2013). Systemic TNFalpha gene therapy synergizes with liposomal doxorubicine in the treatment of metastatic cancer. Mol. Ther. 21, 300–308. 10.1038/mt.2012.229 [DOI] [PMC free article] [PubMed] [Google Scholar]
  66. Suda T., Gao X., Stolz D. B., Liu D. (2006). Structural impact of hydrodynamic injection on mouse liver. Gene Ther. 14, 129. 10.1038/sj.gt.3302865 [DOI] [PubMed] [Google Scholar]
  67. Suda T., Liu D. (2007). Hydrodynamic gene delivery: Its principles and applications. Mol. Ther. 15, 2063. 10.1038/sj.mt.6300314 [DOI] [PubMed] [Google Scholar]
  68. Sun F.-L., Dean W. L., Kelsey G., Allen N. D., Reik W. (1997). Transactivation of Igf2 in a mouse model of Beckwith-Wiedemann syndrome. Nature 389, 809. 10.1038/39797 [DOI] [PubMed] [Google Scholar]
  69. Timmermans S., Van Hauwermeiren F., Puimège L., Dejager L., Van Wonterghem E., Vanhooren V., et al. (2015). Determining differentially expressed miRNAs and validating miRNA-target relationships using the SPRET/Ei mouse strain. Mamm. Genome 26, 94–107. 10.1007/s00335-014-9550-y [DOI] [PubMed] [Google Scholar]
  70. Tomita K., Teratani T., Suzuki T., Shimizu M., Sato H., Narimatsu K., et al. (2014). Free cholesterol accumulation in hepatic stellate cells: mechanism of liver fibrosis aggravation in nonalcoholic steatohepatitis in mice. Hepatology 59, 154. 10.1002/hep.26604 [DOI] [PubMed] [Google Scholar]
  71. Tybl E., Shi F.-D., Kessler S. M., Tierling S., Walter J., Bohle R. M., et al. (2011). Overexpression of the IGF2-mRNA binding protein p62 in transgenic mice induces a steatotic phenotype. J. Hepatol. 54, 994–1001. 10.1016/j.jhep.2010.08.034 [DOI] [PMC free article] [PubMed] [Google Scholar]
  72. Van Rooyen D. M., Larter C. Z., Haigh W. G., Yeh M. M., Ioannou G., Kuver R., et al. (2011). Hepatic free cholesterol accumulates in obese, diabetic mice and causes nonalcoholic steatohepatitis. Gastroenterology 141, 1393. 10.1053/j.gastro.2011.06.040 [DOI] [PMC free article] [PubMed] [Google Scholar]
  73. Vinciguerra M., Veyrat-Durebex C., Moukil M. A., Rubbia-Brandt L., Rohner-Jeanrenaud F., Foti M. (2008). PTEN down-regulation by unsaturated fatty acids triggers hepatic steatosis via an NF-kappaBp65/mTOR-dependent mechanism. Gastroenterology 134, 268. 10.1053/j.gastro.2007.10.010 [DOI] [PubMed] [Google Scholar]
  74. Völzke H., Nauck M., Rettig R., Dörr M., Higham C., Brabant G., et al. (2009). Association between hepatic steatosis and serum IGF1 and IGFBP-3 levels in a population-based sample. Eur. J. Endocrinol. 161, 705–713. 10.1530/EJE-09-0374 [DOI] [PubMed] [Google Scholar]
  75. White M. F. (2003). Insulin signaling in health and disease. Science 302, 1710. 10.1126/science.1092952 [DOI] [PubMed] [Google Scholar]
  76. White M. F. (2006). Regulating insulin signaling and b-cell function through IRS proteins. Can. J. Physiol. Pharmacol. 84, 725–737. 10.1139/y06-008 [DOI] [PubMed] [Google Scholar]
  77. Yilmaz Y. (2012). Review article: Is non-alcoholic fatty liver disease a spectrum, or are steatosis and non-alcoholic steatohepatitis distinct conditions? Aliment. Pharmacol. Ther. 36, 815–823. 10.1111/apt.12046 [DOI] [PubMed] [Google Scholar]
  78. Zhou T., Kamimura K., Zhang G., Liu D. (2010). Intracellular gene transfer in rats by tail vein injection of plasmid DNA. AAPS J. 12, 692. 10.1208/s12248-010-9231-z [DOI] [PMC free article] [PubMed] [Google Scholar]
  79. Zhu H. Z., Wang W., Feng D. M., Sai Y., Xue J. L. (2006). Conditional gene modification in mouse liver using hydrodynamic delivery of plasmid DNA encoding Cre recombinase. FEBS Lett. 580, 4346–4352. 10.1016/j.febslet.2006.06.094 [DOI] [PubMed] [Google Scholar]

Articles from Frontiers in Physiology are provided here courtesy of Frontiers Media SA

RESOURCES