Literature DB >> 23755269

Lepr(db/db) Mice with senescence marker protein-30 knockout (Lepr(db/db)Smp30(Y/-)) exhibit increases in small dense-LDL and severe fatty liver despite being fed a standard diet.

Yoshitaka Kondo1, Goji Hasegawa, Hiroshi Okada, Takafumi Senmaru, Michiaki Fukui, Naoto Nakamura, Morio Sawada, Jo Kitawaki, Takeshi Okanoue, Yuki Kishimoto, Akiko Amano, Naoki Maruyama, Hiroshi Obayashi, Akihito Ishigami.   

Abstract

BACKGROUND/AIMS: The senescence marker protein-30 (SMP30) is a 34 kDa protein originally identified in rat liver that shows decreased levels with age. Several functional studies using SMP30 knockout (Smp30(Y/-) ) mice established that SMP30 functions as an antioxidant and protects against apoptosis. To address the potential role of SMP30 in nonalcoholic fatty liver disease (NAFLD) pathogenesis, we established Smp30(Y/-) mice on a Lepr(db/db) background (Lepr(db/db)Smp30(Y/-) mice). RESEARCH DESIGN/PRINCIPAL
FINDINGS: Male Lepr(db/db)Smp30(Y/-) mice were fed a standard diet (340 kcal/100 g, fat 5.6%) for 16 weeks whereupon the lipid/lipoprotein profiles, hepatic expression of genes related to lipid metabolism and endoplasmic reticulum stress markers were analyzed by HPLC, quantitative RT-PCR and western blotting, respectively. Changes in the liver at a histological level were also investigated. The amount of SMP30 mRNA and protein in livers was decreased in Lepr(db/db)Smp30(Y/+) mice compared with Lepr(db/+)Smp30(Y/+) mice. Compared with Lepr(db/db)Smp30(Y/+) mice, 24 week old Lepr(db/db)Smp30(Y/-) mice showed: i) increased small dense LDL-cho and decreased HDL-cho levels; ii) fatty liver accompanied by numerous inflammatory cells and increased oxidative stress; iii) decreased mRNA expression of genes involved in fatty acid oxidation (PPARα) and lipoprotein uptake (LDLR and VLDLR) but increased CD36 levels; and iv) increased endoplasmic reticulum stress.
CONCLUSION: Our data strongly suggest that SMP30 is closely associated with NAFLD pathogenesis, and might be a possible therapeutic target for NAFLD.

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Year:  2013        PMID: 23755269      PMCID: PMC3670834          DOI: 10.1371/journal.pone.0065698

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Metabolic syndrome has been described as the association of insulin resistance, hypertension, hyperlipidemia and obesity. Its prevalence has increased dramatically, mainly in developed countries. The hepatic manifestations of metabolic syndrome include nonalcoholic fatty liver disease (NAFLD) and its progressive variant, nonalcoholic steatohepatitis (NASH) [1], [2]. Several animal models have been proposed for NAFLD and NASH research [3]. Since leptin plays a major role in food intake and energy expenditure, total leptin deficiency or leptin resistance can lead to massive obesity, type 2 diabetes, dyslipidemia and fatty liver. Therefore, many investigations pertaining to NAFLD/NASH have been carried out in genetic leptin-deficient ob/ob mice or leptin-resistant db/db mice that were fed a high fat diet (HFD) or the methionine/choline deficiency diet [3]–[5]. However, these models differ significantly from the human NAFLD/NASH phenotype in a number of pathogenically important ways. The senescence marker protein-30 (SMP30) is a 34 kDa protein that was originally identified in rat liver and its levels decrease with age [6]. We previously reported that SMP30 participates in Ca2+ efflux by activating the calmodulin-dependent Ca2+-pump that confers resistance to cell injury caused by high intracellular Ca2+ concentrations [7]. We identified SMP30 as a gluconolactonase (GNL) that is involved in L-ascorbic acid biosynthesis in mammals, and have established SMP30-knockout (KO) mice [8]. The livers of SMP30-KO mice are highly susceptible to tumor necrosis factor-α (TNF-a) and Fas-mediated apoptosis, indicating that SMP30 has an anti-apoptotic effect [9]. SMP30-KO mice showed mitochondrial damage and abnormal accumulation of triglycerides, cholesterol, and phospholipids in the liver [10]. In addition, we reported that decreased SMP30 levels contribute to lowered glucose tolerance [11]. These results are in agreement with several functional studies, which also established that SMP30 functions as an antioxidant and anti-apoptotic protein [12]–[15]. To address the potential role of SMP30 in NAFLD/NASH pathogenesis, we generated SMP30-KO mice on a Lepr background (Lepr) and investigated the lipid/lipoprotein profiles, hepatic expression of genes relevant to lipid metabolism and histological changes in the livers of Lepr mice fed a standard diet. Here we show that despite being fed a standard diet, Lepr mice have altered lipoprotein components and severe fatty liver accompanied by increased inflammation and oxidative stress induced by mitochondrial and endoplasmic reticulum dysfunction.

Materials and Methods

Animal crossing and genotyping, and experimental protocol

We used type 2 diabetic obese Lepr mice with a C57BLKS/J background. Male Lepr mice were obtained from Charles River Laboratories Japan, Inc. (Kanagawa, Japan). SMP30-knockout (KO) mice with a C57BL/6 background were established and maintained as described previously [8], [9]. Heterozygous SMP30-KO male mice do not exist, because the Smp30 gene is located on the X chromosome. SMP30-KO mice cannot synthesize vitamin C in vivo, because in mammals SMP30 is the penultimate enzyme in the vitamin C biosynthetic pathway [8]. To maintain vitamin C levels in tissues that were similar to that of wild type mice, and to eliminate any possible confounding influences of vitamin C deficiency, these mice were given free access to water supplemented with 1.5 g/L vitamin C and 10 µM ethylenediaminetetraacetic acid (EDTA) to avoid the effects of vitamin C deficiency [16]. As schematically illustrated in Figure 1A, male Lepr mice were first crossed with female Smp30 mice to produce male Lepr mice and female Lepr mice. The SMP30 mutant mice genotypes were determined as described previously [9]. Next, male Lepr and female Lepr mice were interbred to produce homozygous Lepr and Lepr mice and heterozygote control Lepr and Lepr mice. The mutant Lepr gene was identified by restriction enzyme digestion of PCR products. In brief, Lepr gene PCR products were amplified by PCR using genomic DNA and forward (5′-AGAACGGACACTCTTTGAAGTCTC-3′) and reverse (5′-CATTCAAACCATAGTTTAGGTTTGTGT-3′) primers. PCR products were then digested by AfaI (Takara Bio Inc., Shiga, Japan) and analyzed by agarose gel electrophoresis. The mutant Lepr gene showed two bands of 108 bp and 27 bp while the wild type allele showed one 135 bp band.
Figure 1

Establishment of Lepr mice.

(A) Generation of Lepr mice. F1 hybrid mice (in green boxes) were crossed to produce the experimental Lepr, Lepr, Lepr and Lepr mice (in red boxes). (B) Appearance of Lepr mice at 24 weeks of age. (C) Western blot analysis of SMP30 protein levels in livers from each experimental group at 24 weeks of age. (D) Vitamin C concentration in livers from each experimental group of mice at 24 weeks of age. Values are given as means ± SEM of five animals.

Establishment of Lepr mice.

(A) Generation of Lepr mice. F1 hybrid mice (in green boxes) were crossed to produce the experimental Lepr, Lepr, Lepr and Lepr mice (in red boxes). (B) Appearance of Lepr mice at 24 weeks of age. (C) Western blot analysis of SMP30 protein levels in livers from each experimental group at 24 weeks of age. (D) Vitamin C concentration in livers from each experimental group of mice at 24 weeks of age. Values are given as means ± SEM of five animals. We prepared four groups of five eight week old male mice, with each group having four genotypes: Lepr, Lepr, Lepr, and Lepr. All mice were fed a vitamin C free-standard diet (CL-2; 340 kcal/100 g, fat 5.6%, CLEA Japan, Tokyo, Japan) for 16 weeks. Lepr mice and Lepr mice had free access to 1.5 g/L vitamin C water containing 10 µM EDTA, whereas Lepr and Lepr mice had 10 µM EDTA water. Mice were maintained on a 12 h light/dark cycle in a controlled environment. All experimental procedures using laboratory animals were approved by the Animal Care and Use Committee of the Tokyo Metropolitan Institute of Gerontology (Permit Number: 12016).

Blood and liver tissue collection

All mice were fasted for 16 h and anesthetized at the age of 24 weeks. Blood was obtained from the inferior vena cava, anticoagulated with EDTA, and subsequently centrifuged at 880×g for 15 min at 4°C. Mice were systemically perfused with ice-cold phosphate buffered saline through the hepatic portal vein to wash out remaining blood cells and then the livers were removed. The whole body subcutaneous fat was collected and the weight measured. The livers were immersed in RNAlater® (Life Technologies Corp., Carlsbad, CA, USA) for RNA extraction and fixed with 10% neutral buffered formalin for histological analysis or frozen in liquid nitrogen for biochemical analysis. All samples were stored at −80°C until use.

Biochemical analysis of blood

Blood glucose levels were measured using a glucometer (Glutest Every; Sanwa Kagaku Kenkyusho Co., Ltd., Aichi, Japan). Plasma insulin levels were measured using an enzyme-linked immunoassay system (Ultra sensitive mouse insulin ELISA kit; Morinaga Institute of Biological Science Inc., Kanagawa, Japan). Plasma total cholesterol (T-cho), triglyceride (TG), phospholipid (PL), aspartate aminotransferase (AST), and alanine aminotransferase (ALT) levels were measured by enzymatic assay kits (Wako Pure Chemicals Industries, Osaka, Japan).

Western blotting analysis

Livers were homogenized in ice-cold homogenization buffer (10 mM Tris-HCl (pH 8.0), 1 mM EDTA, 1 mM phenyl methanesulfonyl fluoride, and a protease inhibitor cocktail (cOmplete, EDTA-free; Roche Diagnostics GmbH, Mannheim, Germany)) for 30 seconds using a high speed homogenizer (POLYTRON® PT-MR 2100; Kinematica AG, Switzerland). The homogenate was then centrifuged at 21,000×g for 10 min at 4°C. The supernatants were boiled for 5 min with a lysis buffer containing 0.125 M TrisHCl (pH 6.8), 4% SDS, 20% glycerol, 10% 2-mercaptoethanol, and 0.2% bromophenol blue at a ratio of 1∶1. Total protein equivalents for each sample were separated on a 14% polyacrylamide gel and transferred to a polyvinylidene difluoride membrane. The membrane was incubated with the primary antibody, followed by incubation with a horseradish peroxidase-linked goat anti-rabbit IgG (Bio-Rad Laboratories, Tokyo, Japan). The primary antibodies used were: anti-rat SMP30 rabbit polyclonal antibody (Cosmo Bio Co., Ltd., Tokyo, Japan), anti-phosphorylated eukaryotic initiation factor-2α (p-eIF2α) rabbit monoclonal antibody (#3597, Cell Signaling Technology, Beverly, MA) and anti-C/EBP homologous protein (CHOP) rabbit polyclonal antibody (sc-575, Santa Cruz Biotechnology, Santa Cruz, CA) and β-actin (Cell Signaling Technology, Beverly, MA) as a loading control. After washing, immunoreactivity was detected using ECL chemiluminescence reagents (ECL plus, GE Healthcare Japan, Tokyo, Japan). Chemiluminescence signals were quantified with a LAS-3000 imaging system (Fujifilm, Tokyo, Japan). The mean signals from five Lepr mice were assigned a relative value of 1.0. The total protein concentration was determined with a Pierce® BCA Protein Assay Kit (Thermo Fisher Scientific Inc., Waltham, MA) using bovine serum albumin as a standard.

Measurement of vitamin C levels in the liver

Livers were homogenized in 14 vol 5.4% metaphosphate and 1 mM EDTA, and the homogenate was then centrifuged at 21,000×g for 15 min at 4°C. Vitamin C was analyzed by high-performance liquid chromatography (HPLC) using an Atlantis dC18 5 µm column (4.6×150 mm; Nihon Waters, Tokyo, Japan) [17]. The mobile phase was 50 mM phosphate buffer (pH 2.8), 0.2 g/L EDTA, and 2% methanol at a flow rate of 1.3 ml/min, and electrical signals were recorded using an electrochemical detector equipped with a glassy carbon electrode at +0.6 V.

Measurement of T-cho, TG and PL in the liver

Liver tissues were homogenized with 2 vol. of water using a handy homogenizer (Moji-mojikun; Nippon Genetics, Tokyo, Japan). Homogenates were added to a chloroform-methanol (2∶1; v/v) mixture, and centrifuged at 21,000×g for 10 min at 4°C. The supernatant organic phase was then collected, dried under nitrogen gas and resolubilized in 2-propanol. T-cho, TG and PL concentrations in total lipid extracts were determined using commercial enzymatic kits (Wako Pure Chemical Industries, Osaka, Japan).

Thiobarbituric acid reactive substances (TBARS) assay

Lipid peroxidation was estimated by the amounts of TBARS in the liver that were determined according to the method of Ohkawa et al. [18]. The livers were first homogenized in ice-cold 0.1 M phosphate buffer (pH 7.4). The homogenates were then centrifuged at 15,000×g for 30 min at 4°C and the supernatant was used for further assays. One volume of sample was mixed thoroughly with two volumes of stock solution (15% (w/v) trichloroacetic acid, 0.375% (w/v) thiobarbituric acid, and 0.25 mM HCl). The mixture was then heated for 30 min in a boiling water bath. After cooling, the flocculate precipitate was removed by centrifugation at 1,000×g for 10 min and the absorbance (OD 532 nm) of the sample was measured. The TBARS levels are expressed as the equivalent amounts of malondialdehyde produced from 1,1,3,3-tetramethoxypropane.

HPLC analysis of plasma lipoproteins

Plasma lipoproteins were analyzed using a HPLC service (LipoSEARCH) at Skylight Biotech Inc. (Akita, Japan), as previously described [19]. In brief, 10 µL of whole plasma was injected into two connected columns (300×7.8 mm) packed with TSKgel LipopropakXL (Tosoh, Tokyo, Japan) and lipoproteins were separated with 0.05 mol/L Tris-buffered acetate (pH 8.0) containing 0.3 mol/L sodium acetate, 0.05% sodium azide, and 0.005% Brij-35 at a flow rate of 0.7 mL/min. The column effluent was split equally into two lines by a P-460 MicroSplitter (Upchurch Scientific Inc., Oak Harbor, WA, USA); one effluent portion was mixed with cholesterol reagent (Determiner L TC; Kyowa Medex Co., Ltd., Tokyo, Japan) and the other with TG reagent (Determiner L TG; Kyowa Medex). We defined 5 VLDL subclasses (fraction no. 3–7, 30–80 nm), 6 LDL subclasses (fraction no. 8–13, 16–30 nm) and 7 HDL subclasses (fraction no. 14–20, 8–16 nm) using 20 component peaks categorized on the basis of lipoprotein particle size (diameter).

Histological and immunohistochemical examination of liver

To evaluate histological changes, fixed liver sections were subjected to hematoxylin-eosin (H&E) staining or immunohistochemical staining with an anti-4-hydroxy-2-nonenal (4-HNE) protein adducts monoclonal antibody (1∶40 dilution; Nikken SEIL, Shizuoka, Japan). The H&E-stained specimens were anonymized, and five different areas per mouse were randomly selected by a researcher. These specimens were scored by two independent investigators blinded to sample identity according to the NASH activity score (NAS) [20] for the degree of steatosis (0–3), lobular inflammation (0–3) and hepatocellular ballooning (0–2). The average of the two investigators' scores was regarded as the score for each mouse. 4-HNE was detected by indirect immunoperoxidase staining using corresponding Histofine Simple Stain MAX-PO kits (Nichirei Biosciences, Tokyo, Japan) and 3, 3-diaminobenzidine (DAB) as a chromogenic substrate. After DAB staining, nuclei were counterstained with Mayer's hematoxylin. Two independent observers evaluated the intensity of 4-HNE immunostaining and assigned scores of 0, 1, 2, or 3 (negative (including faint staining), weak, moderate, or strong, respectively).

RNA isolation, first-strand cDNA synthesis, and gene expression analysis

Liver tissue was finely ground with a liquid nitrogen-cooled mortar and pestle and homogenized in ice-cold TRIzol reagent (Life Technologies, Carlsbad, CA, USA) before isolation of total RNA according to the manufacturer's instructions. Total RNA (0.5 µg) was reverse-transcribed using PrimeScript RT Master Mix (TaKaRa Bio Inc., Shiga, Japan) for first-strand cDNA synthesis with an oligonucleotide dT primer and random hexamer priming according to the manufacturer's recommendations. The mRNA expression levels of the following proteins: acetyl-CoA carboxylase (ACC), fatty acid synthase (FAS), sterol regulatory element-binding protein 1c (SREBP1c), SREBP2, 3-hydroxy-3-methylglutaryl-CoA reductase (HMGCoAR), peroxisome proliferator-activated receptor-α (PPARα), medium-chain acyl-CoA dehydrogenase (MCAD), microsomal triglyceride transfer protein (MTP), apolipoprotein-B100 (ApoB100), LDL receptor (LDLR) and VLDL receptor (VLDLR), CD36 and spliced X-box binding protein 1 (sXBP1), all of which are involved in lipid and lipoprotein metabolism, were quantitated using real-time reverse transcription polymerase chain reaction (RT-PCR). RT-PCR was performed using a Thermal Cycler Dice Real Time System II (TaKaRa Bio Inc.) and real-time SYBR® Premix Ex Taq™ (TaKaRa Bio Inc.) according to the manufacturer's instructions. The specific primers for the target genes and β-actin are described in Table 1. The following PCR conditions were used: 1 cycle for 30 s at 95°C, followed by 40 cycles for 5 s at 95°C, and 30 s at 60°C. The product specificity generated for each primer set was examined for each fragment using a melting curve and gel electrophoresis. The relative expression levels of each targeted gene were normalized to β-actin threshold cycle (CT) values and quantified using the comparative threshold cycle 2−ΔΔCT method as previously described [21]. Signals from Lepr mice were assigned a relative value of 1.0. Five mice from each group were examined, and real time RT-PCR was run in duplicate for each sample.
Table 1

Primer sequences for use in real-time quantitative RT-PCR.

Gene nameSequenceSize (bp)GenBank accession no.
Acetyl-CoA carboxylaseForward 5′-AGCGACATGAACACCGTACTGAA-3′ 106NM133360
Reverse 5′-TAGGGTCCCGGCCACATAAC-3′
Fatty acid synthaseForward 5′-ATTGGCTCCACCAAATCCAAC-3′ 90NM007988
Reverse 5′-CCCATGCTCCAGGGATAACAG-3′
Sterol regulatory element-binding protein-1cForward 5′-AGCCTGGCCATCTGTGAGAA-3′ 132NM011480
Reverse 5′-CAGACTGGTACGGGCCACAA-3′
Sterol regulatory element-binding protein-2Forward 5′-CCCACTCAGAACACCAAGCAT-3 67NM033218
Reverse 5′-TGGCAGTAGCTCGCTCTCGT-3′
HMGCoA reductaseForward 5′- TGTCCTTGATGGCAGCCTTG-3′ 183NM 008255
Reverse 5′- CCGCGCTTCAGTTCAGTGTC-3′
Peroxisome proliferator-activated receptor-αForward 5′-CTCAGGGTACCACTACGGAGTTCAC-3′ 111NM001113418
Reverse 5′-TGAATCTTGCAGCTCCGATCAC-3′
Medium-chain acyl-CoA dehydrogenaseForward 5′- TGAGTGGCGGCCATTAAGA-3′ 179NM007382
Reverse 5′- CGGCTTCCACAATGAATCCAG-3′
Microsomal triglyceride transfer proteinForward 5′-CATCTCCACAGTGCAGTTCTCACA-3′ 167NM001163457
Reverse 5′-GGAGTTCACATCCGGCCACTA-3′
Apolipoprotein-B100Forward 5′-CAGGTGGCCACAGCCAATAA-3′ 161NM009693
Reverse 5′-ACTGCAGGTCTGGCTCAGGA-3′
LDL receptorForward 5′- CTAGCAAGTGGGTGTGCGATG-3′ 100NM010700
Reverse 5′- CTGAATTGATTGGACTGACAGGTGA -3′
VLDL receptorForward 5′- TGGCGTGTGCAAGGCAGTA-3′ 145NM013703
Reverse 5′- TGCAATGTCCGCATCGAGA-3′
CD36Forward 5′-CCCAGATGACGTGGCAAAGA-3′ 172NM001159555
Reverse 5′-TCCAACAGACAGTGAAGGCTCAA-3′
Spliced XBP1Forward 5′-GCTGAGTCCGCAGCAGGT-3′ 86NM013842
Reverse 5′-GAATCTGAAGAGGCAACAGTGTCA-3′
Senescence marker protein-30Forward 5′-GAGGCAGCCTGATGCTGGTAA-3′ 92NM009060
Reverse 5′-GAGCTGCAGTTCACCCTGCATA-3′
β-actinForward 5′-CATCCGTAAAGACCTCTATGCCAAC-3′ 171NM007393
Reverse 5′-ATGGAGCCACCGATCCACA-3′

Statistical analysis

Data are expressed as means ± SEM. Statistical differences between groups were determined by one-way analysis of variance (ANOVA) with Scheffe's post hoc test. A P value<0.05 was considered to be statistically significant.

Results

Generation of Lepr mice

As shown in Fig. 1A and B, we established Lepr mice, which were born at the expected Mendelian ratios and by 24 weeks of age had appearances that were indistinguishable from obese Lepr mice. Western blot analysis of liver tissue from Lepr and Lepr mice demonstrated that these animals lacked SMP30 protein (Fig. 1C). There were no significant differences found in the liver vitamin C concentration among any of the experimental groups (Fig. 1D). Given the difference in SMP30 protein levels observed for LeprSmp30Y/+ and Lepr mice (Fig. 1C), we next quantified the amounts of SMP30 mRNA and protein and found that they were decreased by 25% and 47%, respectively, in Lepr mice as compared to Lepr mice (both P<0.01) (Fig. 2).
Figure 2

Decrease in hepatic SMP30 levels in Lepr mice.

(A) SMP30 mRNA and (B) protein levels in livers from Lepr and Lepr mice. Values are given as means ± SEM of five animals. † P<0.01.

Decrease in hepatic SMP30 levels in Lepr mice.

(A) SMP30 mRNA and (B) protein levels in livers from Lepr and Lepr mice. Values are given as means ± SEM of five animals. † P<0.01.

Lepr mice had manifestations of metabolic syndrome

The physiological and blood biochemical parameters of 24 week old animals of the four groups are presented in Table 2. Compared with Lepr and Lepr mice, the food intake of Lepr mice during the experimental period was significantly increased by 33% and 40%, respectively (P<0.001). Meanwhile, there were no significant differences between Lepr and Lepr mice (P = 0.07). The body weight of Lepr mice was 79% and 87% higher than Lepr and Lepr mice, respectively (P<0.001). There were no significant differences in body weight between Lepr and Lepr mice. Likewise, the epididymal and subcutaneous fat weight in Lepr mice were significantly higher than those of Lepr and Lepr mice (P<0.001), although no significant differences in epididymal or subcutaneous fat weight were observed between Lepr and Lepr mice.
Table 2

Physiological, blood and biochemical parameters in four experimetal groups of mice.

Leprdb/+Smp30Y/+ Leprdb/+Smp30Y/− Leprdb/dbSmp30Y/+ Leprdb/dbSmp30Y/−
Food intake (g/day/mouse)4.2±0.13.9±0.15.0±0.2§ , 5.5±0.1§ ,
Body weight (g)34.4±1.732.9±0.969.4±2.2§ , 61.5±3.0§ ,
Epididymal fat weight (g)1.12±0.181.10±0.062.60±0.13§ , 2.42±0.18§ ,
Subcutaneous fat weight (g)1.20±0.361.40±0.0912.40±0.80§ , 10.82±0.66§ ,
Fasting blood glucose (mg/dL)71.4±5.882.2±4.3162.0±15.2* , # 239.8±26.3§ , , **
Fasting plasma insulin (ng/mL)1.0±0.21.3±0.511.6±1.8§ , 9.2±0.8§ ,
Plasma triglyceride (mg/dL)33.4±3.734.2±3.566.6±16.978.8±15.6
Plasma cholesterol (mg/dL)59.6±4.058.4±1.7358.8±58.8§ , 333.2±68.1§ ,
Plasma phospholipid (mg/dL)110.8±11.0125.6±5.2537.2±44.4§ , 522.2±53.8§ ,
Plasma aspartate aminotransferase (IU/L)32.8±4.637.6±7.198.3±3.7136.8±27.3 ,
Plasma alanine aminotransferase (IU/L)11.2±1.528.8±14.086.3±7.6* 111.0±26.1 , #

P<0.05,

P<0.01 and

P<0.001 versus Lepr.

P<0.05,

P<0.01 and

P<0.001 versus Lepr.

P<0.05 versus Lepr.

Values are given as means ± SEM of five animals.

P<0.05, P<0.01 and P<0.001 versus Lepr. P<0.05, P<0.01 and P<0.001 versus Lepr. P<0.05 versus Lepr. Values are given as means ± SEM of five animals. Fasting blood glucose concentrations were significantly higher in Lepr mice (239.8±26.3 mg/dL) than in Lepr (71.4±5.8 mg/dL, P<0.001), Lepr (82.2±4.3 mg/dL, P<0.001) and Lepr mice (162.0±15.2 mg/dL, P<0.05). Fasting plasma insulin concentrations in Lepr mice were also higher than in Lepr and Lepr mice (P<0.001). There were no significant differences in fasting plasma levels between Lepr and Lepr mice. Although there was a non-significant increase in plasma TG levels in the two groups of Lepr mice (Lepr and Lepr) compared with the two groups of Lepr mice (Lepr and LeprSmp30), there were no significant differences in plasma TG levels among any of the experimental groups. Both plasma T-cho and PL concentrations in Lepr mice were significantly higher than those in Lepr and Lepr mice (both P<0.001). There were no significant differences in plasma T-cho and PL concentrations between Lepr and Lepr mice. Plasma AST and ALT concentrations in Lepr mice (136.8±27.3 and 111.0±26.1 IU/L, respectively) were significantly higher than those of Lepr (32.8±4.6 IU/L, P<0.01 and 11.2±15 IU/L, P<0.01, respectively) and Lepr (37.6±7.1 IU/L, P<0.01 and 28.8±14.0 IU/L, P<0.01, respectively) mice. There were no significant differences in plasma AST and ALT concentrations between Lepr and Lepr mice.

Lepr mice show decreased HDL-cho and increased small dense LDL-cho levels and increased LDL-cho/HDL-cho ratios

HPLC analysis of the plasma lipoprotein profile with cholesterol reagents is shown in Fig. 3A. Either with or without Smp30, the levels of VLDL- (Fr. 3–7), LDL- (Fr. 8–11), very-small particle size LDL- (Fr. 12–13) and HDL-cho (Fr.14–20) as well as the LDL-cho/HLD-cho ratio were significantly higher in Lepr mice (Lepr and Lepr mice) compared to Lepr mice (Lepr and Lepr mice) (P<0.001) (Fig. 3B–F). There were no significant differences in VLDL-cho levels in Lepr and Lepr mice (Fig. 3B). Although there were no significant differences in LDL-cho (Fr. 8–11) levels in Lepr and Lepr mice (Fig. 3C), the very-small sized LDL-cho particles of Fr.12 and Fr.13 that correspond to small dense LDL-cho (sdLDL-cho) in Lepr mice (78.6±3.2 mg/dL) were significantly higher than in Lepr mice (66.3±3.5 mg/dL, P<0.05) (Fig. 3D), while HDL-cho levels in Lepr mice (173.0±6.1 mg/dL) were significantly lower than that of Lepr mice (221.0±4.8 mg/dL, P<0.001) (Fig. 3E). The LDL-cho/HDL-cho ratio in Lepr mice was significantly higher than that in Lepr mice (P<0.001) (Fig. 3F). Likewise, the LDL-cho/HDL-cho ratio in Lepr mice was significantly higher than that of Lepr mice (P<0.01) (Fig. 3F).
Figure 3

Increase in small dense LDL-cho and decrease in HDL-cho in plasma from Lepr mice.

(A) HPLC lipoprotein profile with cholesterol reagent and (B–F) cholesterol content in four subfractions according particle size, VLDL; Fr. 3–7, LDL; Fr. 8–11, small dense LDL; Fr. 12–13, HDL; Fr. 14–20 and LDL/HDL ratio in the four experimental groups. Blue dashed line and lane 1, Lepr mice; Red dashed line and lane 2, Lepr mice; Blue line and lane 3, Lepr mice; Red line and lane 4; Leprmice. Values are given as means ± SEM of five animals. † P<0.01 and § P<0.001 versus Lepr, ¶ P<0.001 versus Lepr, ** P<0.05 and †† P<0.001 versus Lepr.

Increase in small dense LDL-cho and decrease in HDL-cho in plasma from Lepr mice.

(A) HPLC lipoprotein profile with cholesterol reagent and (B–F) cholesterol content in four subfractions according particle size, VLDL; Fr. 3–7, LDL; Fr. 8–11, small dense LDL; Fr. 12–13, HDL; Fr. 14–20 and LDL/HDL ratio in the four experimental groups. Blue dashed line and lane 1, Lepr mice; Red dashed line and lane 2, Lepr mice; Blue line and lane 3, Lepr mice; Red line and lane 4; Leprmice. Values are given as means ± SEM of five animals. † P<0.01 and § P<0.001 versus Lepr, ¶ P<0.001 versus Lepr, ** P<0.05 and †† P<0.001 versus Lepr.

Increased hepatic lipid (TG, T-cho and PL) and lipid peroxidation (TBARS) levels in Lepr mice

As shown in Fig. 4A–D, hepatic TG, T-cho, PL and TBARS concentrations were significantly higher in Lepr mice than Lepr or Lepr mice (P<0.001). Compared with Lepr mice, hepatic TG, T-cho and PL concentrations were lower and TBARS concentrations were higher in Lepr mice.
Figure 4

Increase in TBARS in livers from Lepr mice.

(A) Triglyceride, (B) Cholesterol, (C) Phospholipid and (D) TBARS content in livers from the four experimental groups. Lane 1, Lepr mice. Lane 2, Lepr mice. Lane 3, Lepr mice. Lane 4, Lepr mice. † P<0.01 and § P<0.001 versus Lepr, ¶ P<0.001 versus Lepr, ** P<0.05 and †† P<0.001 versus Lepr. Values are given as means ± SEM of five animals.

Increase in TBARS in livers from Lepr mice.

(A) Triglyceride, (B) Cholesterol, (C) Phospholipid and (D) TBARS content in livers from the four experimental groups. Lane 1, Lepr mice. Lane 2, Lepr mice. Lane 3, Lepr mice. Lane 4, Lepr mice. † P<0.01 and § P<0.001 versus Lepr, ¶ P<0.001 versus Lepr, ** P<0.05 and †† P<0.001 versus Lepr. Values are given as means ± SEM of five animals.

Lepr mice show fatty liver accompanied by inflammatory cells and oxidative stress despite being fed a standard diet

As shown in Fig. 5A, hepatic histological examination revealed increased steatosis in Lepr mice and increased steatosis accompanied by inflammatory cells in Lepr mice. In contrast, no histological abnormalities were observed for both Lepr and Lepr animals. Fibrosis was not observed in any of the groups.
Figure 5

Increased steatosis, inflammation and oxidative stress in liver sections from Lepr mice.

Representative images of (A) hematoxylin/eosin staining and (B) 4-HNE immunostaining in liver sections from Lepr, Lepr, Lepr and Lepr mice. Scale bar is 100 µm. * P<0.05, † P<0.01 and § P<0.001 versus Lepr, # P<0.05, ‡ P<0.01 and ¶ P<0.001 versus Lepr, ** P<0.05 versus Lepr. Values are given as mean ± SEM of five animals.

Increased steatosis, inflammation and oxidative stress in liver sections from Lepr mice.

Representative images of (A) hematoxylin/eosin staining and (B) 4-HNE immunostaining in liver sections from Lepr, Lepr, Lepr and Lepr mice. Scale bar is 100 µm. * P<0.05, † P<0.01 and § P<0.001 versus Lepr, # P<0.05, ‡ P<0.01 and ¶ P<0.001 versus Lepr, ** P<0.05 versus Lepr. Values are given as mean ± SEM of five animals. Regarding the NASH activity score, 24 week old Lepr mice had a total score of 4.4±0.2, which was significantly higher than that of Lepr mice (3.2±0.4, P<0.05). In immunohistochemical examinations using an anti-4HNE antibody, the 4-HNE intensity scores were significantly higher in Lepr mice (1.8±0.2) than in Lepr (1.2±0.2, P<0.05), Lepr (0.8±0.2, P<0.01) and Lepr (0.2±0.2, P<0.001) (Fig. 5B) mice.

Altered hepatic expression of lipid/lipoprotein metabolism-related genes in Lepr mice

Next, we investigated the hepatic expression of genes related to lipid/lipoprotein metabolism in Lepr mice (Fig. 6). Regarding lipogenesis genes, hepatic expression of ACC, FAS and SREBP1c were markedly higher in Lepr mice (Lepr and Lepr) than in Lepr mice (Lepr and Lepr) with or without the SMP30 gene. SREBP1c mRNA levels in Lepr mice were significantly lower than that in Lepr mice (P<0.05), although there was no significant difference in ACC and FAS mRNA expression between Lepr mice and Lepr mice or between Lepr mice and Lepr mice. On the other hand, independent of the SMP30 gene, SREBP2 and HMGCoAR mRNA levels were significantly lower in Lepr mice than those in Lepr. There were no significant differences in SREBP2 and HMGCoAR expression levels between Lepr and Lepr mice or between Lepr and Lepr mice.
Figure 6

Altered hepatic expression of lipid/lipoprotein metabolism-related genes in Lepr mice.

Gene expression levels of (A) ACC, (B) FAS, (C) SREBP1c, (D) SREBP2, (E) HMGCoAR, (F) PPARα, (G) MCAD, (H) MTP, (I) ApoB100, (J) LDLR (K) VLDLR, and (L) CD36 in the livers. Lane 1: Lepr, lane 2: Lepr, lane 3: Lepr and lane 4: Lepr mice. mRNA for each gene was measured using real time RT-PCR and normalized to β-actin. The values from Lepr mice were assigned a relative value of 1.0. Values are given as means ± SEM of five animals. * P<0.05, † P<0.01 and § P<0.001 versus Lepr, # P<0.05, ‡ P<0.01 and ¶ P<0.001 versus Lepr, ** P<0.05 versus Lepr.

Altered hepatic expression of lipid/lipoprotein metabolism-related genes in Lepr mice.

Gene expression levels of (A) ACC, (B) FAS, (C) SREBP1c, (D) SREBP2, (E) HMGCoAR, (F) PPARα, (G) MCAD, (H) MTP, (I) ApoB100, (J) LDLR (K) VLDLR, and (L) CD36 in the livers. Lane 1: Lepr, lane 2: Lepr, lane 3: Lepr and lane 4: Lepr mice. mRNA for each gene was measured using real time RT-PCR and normalized to β-actin. The values from Lepr mice were assigned a relative value of 1.0. Values are given as means ± SEM of five animals. * P<0.05, † P<0.01 and § P<0.001 versus Lepr, # P<0.05, ‡ P<0.01 and ¶ P<0.001 versus Lepr, ** P<0.05 versus Lepr. mRNA levels of PPARα, which is involved in fatty acid catabolism, were significantly lower in Lepr mice than in Lepr (P<0.001), Lepr (P<0.001) or Lepr (P<0.05) mice. Importantly, PPARα mRNA levels were significantly lower in Lepr mice compared to Lepr mice (P<0.05). No significant difference was observed in MCDA mRNA levels between Lepr and Lepr mice or between Lepr and Lepr mice. MTP and ApoB100 are key genes for VLDL secretion. Both MTP and ApoB100 mRNA levels were significantly lower in Lepr mice than in Lepr and Lepr mice (P<0.001). Compared with Lepr mice, MTP mRNA expression levels in Lepr mice were decreased, although the change did not reach statistical significance. There was no significant difference in ApoB100 mRNA levels between Lepr and Lepr mice. Interestingly, hepatic LDLR mRNA levels were significantly lower in Lepr mice than in Lepr (P<0.05) and Lepr (P<0.05) mice, but not Lepr mice. Hepatic VLDLR mRNA levels were significantly higher in Lepr mice than in Lepr (P<0.001) and Lepr mice (P<0.001), and were significantly lower than in Lepr mice (P<0.05). CD36 mRNA levels were significantly higher in Lepr mice than in Lepr (P<0.001), Lepr (P<0.001) or Lepr (P<0.05) mice.

Lepr mice show increased endoplasmic reticulum (ER) stress

The high plasma sdLDL-cho, high liver TBARS content and low mRNA expression levels of fatty acid β oxidation and lipid secretion genes in Lepr mice prompted us to analyze hepatic levels of ER stress markers. No significant differences in spliced XBP1 mRNA expression were observed among the four experimental mice groups (Fig. 7A). Phosphorylated eIF2α (phos-eIF2α) levels in Lepr mice were significantly (two-fold) higher (P<0.01) compared with Lepr mice (Fig. 7B). Also, there was a non-significant increase in phos-eIF2α levels in Lepr mice compared with Lepr or Lepr mice (Fig. 7B). On the other hand, CHOP levels were significantly higher in Lepr than in Lepr (P<0.01), Lepr (P<0.01) or Lepr (P<0.05) mice.
Figure 7

Increase in endoplasmic reticulum (ER) stress in livers from Lepr mice.

(A) Spliced XBP1 mRNA expression, (B) Phosphorylated eIF2α protein and (C) CHOP protein levels in livers from the four experimental groups. Values are given as means ± SEM of five animals. * P<0.05, † P<0.01 and § P<0.001 versus Lepr, # P<0.05 versus Lepr, ** P<0.05 versus Lepr.

Increase in endoplasmic reticulum (ER) stress in livers from Lepr mice.

(A) Spliced XBP1 mRNA expression, (B) Phosphorylated eIF2α protein and (C) CHOP protein levels in livers from the four experimental groups. Values are given as means ± SEM of five animals. * P<0.05, † P<0.01 and § P<0.001 versus Lepr, # P<0.05 versus Lepr, ** P<0.05 versus Lepr.

Discussion

The two-hit theory proposed by Day and James [22], in which the initial trigger is the hepatic accumulation of excessive fat, followed by the second hit of oxidative stress, is widely advocated as a pathogenic mechanism for NASH. Therefore, it is of great interest to study in greater detail the role of SMP30 in relation to the pathogenic mechanism for NAFLD/NASH in SMP30-KO mice on a Lepr background. Interestingly, we observed first that SMP30 levels in Lepr mice were significantly lower than in Lepr mice, which suggests that this decrease is related to the development of obesity and obesity-related disorders in Lepr mice. The mechanism(s) of SMP30 reduction in Lepr mouse livers is unknown. Liver SMP30 protein levels were reported to decrease following liver injury in animals treated with carbon tetrachloride [23], lipopolysaccharide (LPS) [24] or D-galactosamine/LPS [25]. Furthermore, we recently reported that 17β-estradiol attenuates saturated fatty acid diet-induced apoptotic liver injury in ovariectomized mice by up-regulating hepatic SMP30 [14]. Thus, the lipid deposition accompanied by increased oxidative and ER stress in Lepr mice might result from decreased liver SMP30 levels and in turn exacerbate liver damage via decreased Ca2+-pumping activity and anti-oxidative effects of SMP30. Further study will be required to reveal the mechanisms of SMP30 suppression in obesity and obesity-related diseases. A noteworthy finding of this study is that plasma levels of LDL-cho, in particular the smaller sized particles of Fr.no. 12 and Fr.no. 13 that correspond to small dense LDL-cho (sdLDL-cho) and the LDL-cho/HDL-cho ratio in Lepr mice, were significantly higher than those in Lepr mice, although plasma levels of T-cho in Lepr and Lepr mice were similar. A significantly increased LDL-cho/HDL-cho ratio was also found in Lepr mice compared with Lepr mice. These results indicate that the SMP30 deficiency contributes to increases in plasma sdLDL-cho and decreases in HDL-cho regardless of leptin receptor mutation followed by hyperphagia and obesity. In a human study an association between fatty liver and increased sdLDL-cho was reported [26]–[28]. Furthermore, we recently reported that in patients with histologically diagnosed NAFLD/NASH, serum sdLDL-cho levels in patients with NAS ≥5 were significantly higher than those in patients with NAS≤2, and sdLDL-cho was significantly and inversely correlated with hepatic SMP30 levels [29]. However, we do not presently have an explanation for the observed increase in sdLDL-cho in Lepr mice. In humans, TG-rich VLDL (large VLDL1) can be a precursor of sdLDL-cho, i.e., large VLDL1 particles are converted to sdLDL particles by cholesteryl ester transport protein (CETP) and hepatic lipase (HL), the levels of which are commonly increased in type 2 diabetes [30]. Unlike humans, however, mice do not express CETP, and as such, cholesterol is mainly present in HDL. Qiu et al. reported that HL-deficient mice have sdLDLs, but TG enrichment was not observed in these mice [31]. In this study, no difference was observed in the mRNA expression of HL between Lepr and Lepr mice or between Lepr and Lepr mice (data not shown). Recently, we demonstrated that testosterone-deficient mice fed a high-fat diet showed markedly decreased serum TG and TG-VLDL levels and markedly increased serum sdLDL-cho levels, likely due to altered expression of genes involved in hepatic assembly and lipid secretion [32]. Further work will be required to elucidate the molecular mechanism for this increase in sdLDL-cho in SMP30-KO mice. An additional notable finding of this study was that although Lepr mice showed no advanced stage NASH including fibrosis, compared with Lepr mice Lepr mice had increased NAS activity and inflammation scores as well as enhanced oxidative stress. Hepatic steatosis results from an imbalance in lipid homeostasis in the liver, where fat uptake, de novo lipogenesis, fatty acid oxidation and fat export occur. Compared with Lepr mice, RT-PCR of lipid homeostasis-related genes in the liver revealed that the expression levels of these genes, in particular PPARα and SREBP-1c (but not CD36), are reduced in Lepr mice. CD36, a member of the class B scavenger receptor family of cell surface proteins, is abundantly expressed in monocytes/macrophages. Therefore, compared with Lepr mice, the increase in CD36 mRNA seen in Lepr mice is likely a partial reflection of the increase in the number of inflammatory cells. PPARα mRNA levels were significantly lower not only in Lepr mice compared to Lepr mice, but also in Lepr mice compared to Lepr mice, suggesting that decreased hepatic SMP30 mRNA expression is associated with mitochondrial and peroxisomal fatty acid β-oxidation. Mitochondrial dysfunction is known to cause increases in oxidative stress, and indeed we showed that the levels of TBARS and 4-HNE rose in the livers of Lepr mice. When SMP30-KO mice are fed a vitamin C-deficient diet they do not thrive and display symptoms of scurvy such as bone fractures and rachitic rosary before dying around three months after beginning the deficient diet. As such, Lepr and Lepr mice were given vitamin C-supplemented water in this study. Vitamin C is known to play an important role in the structure and function of mitochondria and endoplasmic reticulum [33]. Harrison et al. reported that vitamin E and vitamin C treatment improves fibrosis but not necroinflammation in NASH patients [34]. Therefore, vitamin C supplementation would be one reason that fibrosis was not observed in Lepr mice in this study. In this study, Lepr mice exhibited no phenotypes for lipid accumulation and mitochondrial damage in the liver as was previously reported [10]. However, in the previous study, mice were fed an autoclaved CRF-1 diet containing <55 mg of vitamin C per kg and tap water, and thus the liver vitamin C level in Smp30 mice was about 6% that of Smp30 mice [8]. Although lipid accumulation and mitochondrial damage were observed in livers of Smp30 mice at 12 months [10], it is unclear whether the phenotypes were caused by SMP30 deficiency (loss of unknown function except for vitamin C biosynthesis) and/or by vitamin C deficiency. Thus, the lack of steatosis in Lepr mice might result from their younger age (24 weeks) or the vitamin C supplementation in the current study. Although further studies will be required to define the exact molecular mechanism of the altered lipid homeostasis and liver damage caused by decreases in SMP30 levels, our data strongly suggest that SMP30 is closely associated with NAFLD pathogenesis and might be a possible therapeutic target for NAFLD.
  34 in total

1.  Senescence marker protein-30 protects mice lungs from oxidative stress, aging, and smoking.

Authors:  Tadashi Sato; Kuniaki Seyama; Yasunori Sato; Hiroaki Mori; Sanae Souma; Taeko Akiyoshi; Yuzo Kodama; Takanori Mori; Sataro Goto; Kazuhisa Takahashi; Yoshinosuke Fukuchi; Naoki Maruyama; Akihito Ishigami
Journal:  Am J Respir Crit Care Med       Date:  2006-05-25       Impact factor: 21.405

2.  Influence of fatty liver on plasma small, dense LDL- cholesterol in subjects with and without metabolic syndrome.

Authors:  Ikumi Sugino; Koji Kuboki; Tomoko Matsumoto; Eiichi Murakami; Chiaki Nishimura; Gen Yoshino
Journal:  J Atheroscler Thromb       Date:  2010-10-29       Impact factor: 4.928

3.  Influence of hepatic steatosis (fatty liver) on severity and composition of dyslipidemia in type 2 diabetes.

Authors:  Frederico G S Toledo; Allan D Sniderman; David E Kelley
Journal:  Diabetes Care       Date:  2006-08       Impact factor: 19.112

4.  Time course of vitamin C distribution and absorption after oral administration in SMP30/GNL knockout mice.

Authors:  Mizuki Iwama; Kentaro Shimokado; Naoki Maruyama; Akihito Ishigami
Journal:  Nutrition       Date:  2010-08-13       Impact factor: 4.008

5.  Overproduction of VLDL1 driven by hyperglycemia is a dominant feature of diabetic dyslipidemia.

Authors:  Martin Adiels; Jan Borén; Muriel J Caslake; Philip Stewart; Aino Soro; Jukka Westerbacka; Bernt Wennberg; Sven-Olof Olofsson; Chris Packard; Marja-Riitta Taskinen
Journal:  Arterioscler Thromb Vasc Biol       Date:  2005-06-09       Impact factor: 8.311

Review 6.  Animal models of nonalcoholic fatty liver disease/nonalcoholic steatohepatitis.

Authors:  Yoshihisa Takahashi; Yurie Soejima; Toshio Fukusato
Journal:  World J Gastroenterol       Date:  2012-05-21       Impact factor: 5.742

7.  Senescence marker protein 30 functions as gluconolactonase in L-ascorbic acid biosynthesis, and its knockout mice are prone to scurvy.

Authors:  Yoshitaka Kondo; Yoko Inai; Yasunori Sato; Setsuko Handa; Sachiho Kubo; Kentaro Shimokado; Sataro Goto; Morimitsu Nishikimi; Naoki Maruyama; Akihito Ishigami
Journal:  Proc Natl Acad Sci U S A       Date:  2006-04-03       Impact factor: 11.205

8.  Testosterone deficiency induces markedly decreased serum triglycerides, increased small dense LDL, and hepatic steatosis mediated by dysregulation of lipid assembly and secretion in mice fed a high-fat diet.

Authors:  Takafumi Senmaru; Michiaki Fukui; Hiroshi Okada; Yusuke Mineoka; Masahiro Yamazaki; Muneo Tsujikawa; Goji Hasegawa; Jo Kitawaki; Hiroshi Obayashi; Naoto Nakamura
Journal:  Metabolism       Date:  2013-01-16       Impact factor: 8.694

Review 9.  Epidemiology and natural history of NAFLD and NASH.

Authors:  Janus P Ong; Zobair M Younossi
Journal:  Clin Liver Dis       Date:  2007-02       Impact factor: 6.126

Review 10.  Mouse models in non-alcoholic fatty liver disease and steatohepatitis research.

Authors:  Quentin M Anstee; Robert D Goldin
Journal:  Int J Exp Pathol       Date:  2006-02       Impact factor: 1.925

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1.  Anti-inflammatory activity of SMP30 modulates NF-κB through protein tyrosine kinase/phosphatase balance.

Authors:  Kyung Jin Jung; Eun Kyeong Lee; Su Jin Kim; Chang Woo Song; Naoki Maruyama; Akihito Ishigami; Nam Deuk Kim; Dong-Soon Im; Byung Pal Yu; Hae Young Chung
Journal:  J Mol Med (Berl)       Date:  2014-11-15       Impact factor: 4.599

2.  A novel and quick PCR-based method to genotype mice with a leptin receptor mutation (db/db mice).

Authors:  Bao-Yu Peng; Qiang Wang; Yan-Hong Luo; Jian-Feng He; Tao Tan; Hua Zhu
Journal:  Acta Pharmacol Sin       Date:  2017-07-27       Impact factor: 6.150

3.  Phosphate and Cellular Senescence.

Authors:  Ming Chang Hu; Orson W Moe
Journal:  Adv Exp Med Biol       Date:  2022       Impact factor: 3.650

Review 4.  Modulation of Oxidative Stress-Induced Senescence during Non-Alcoholic Fatty Liver Disease.

Authors:  Johanna Pedroza-Diaz; Johanna C Arroyave-Ospina; Sandra Serna Salas; Han Moshage
Journal:  Antioxidants (Basel)       Date:  2022-05-16

5.  Stem Cell Replacement Improves Expression of SMP30 in db/db Mice.

Authors:  Ming Li; Kequan Guo; Shigeru Taketani; Yasushi Adachi; Susumu Ikehara
Journal:  Int J Mol Sci       Date:  2015-12-16       Impact factor: 5.923

6.  Hepatic Senescence Accompanies the Development of NAFLD in Non-Aged Mice Independently of Obesity.

Authors:  Ioannis I Moustakas; Angeliki Katsarou; Aigli-Ioanna Legaki; Iryna Pyrina; Konstantinos Ntostoglou; Alkistis-Maria Papatheodoridi; Bettina Gercken; Ioannis S Pateras; Vassilis G Gorgoulis; Michael Koutsilieris; Triantafyllos Chavakis; Antonios Chatzigeorgiou
Journal:  Int J Mol Sci       Date:  2021-03-26       Impact factor: 5.923

Review 7.  A Comparison of the Gene Expression Profiles of Non-Alcoholic Fatty Liver Disease between Animal Models of a High-Fat Diet and Methionine-Choline-Deficient Diet.

Authors:  Mohammed Abdullah Alshawsh; Abdulsamad Alsalahi; Salah Abdalrazak Alshehade; Sultan Ayesh Mohammed Saghir; Ahmad Faheem Ahmeda; Raghdaa Hamdan Al Zarzour; Ayman Moawad Mahmoud
Journal:  Molecules       Date:  2022-01-27       Impact factor: 4.411

8.  Senescence marker protein-30/superoxide dismutase 1 double knockout mice exhibit increased oxidative stress and hepatic steatosis.

Authors:  Yoshitaka Kondo; Hirofumi Masutomi; Yoshihiro Noda; Yusuke Ozawa; Keita Takahashi; Setsuko Handa; Naoki Maruyama; Takahiko Shimizu; Akihito Ishigami
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9.  High Phosphate Induces and Klotho Attenuates Kidney Epithelial Senescence and Fibrosis.

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Journal:  Front Pharmacol       Date:  2020-08-20       Impact factor: 5.810

Review 10.  The Potential Role of Cellular Senescence in Non-Alcoholic Fatty Liver Disease.

Authors:  Cornelius Engelmann; Frank Tacke
Journal:  Int J Mol Sci       Date:  2022-01-07       Impact factor: 5.923

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