- Research article
- Open Access
Genetic dissection of the fatty liver QTL Fl1sa by using congenic mice and identification of candidate genes in the liver and epididymal fat
BMC Genetics volume 17, Article number: 145 (2016)
Nonalcoholic fatty liver disease (NAFLD) is a multifactorial disease caused by interactions between environmental and genetic factors. The SMXA-5 mouse is a high-fat diet-induced fatty liver model established from SM/J and A/J strains. We have previously identified Fl1sa, a quantitative trait locus (QTL) for fatty liver on chromosome 12 (centromere-53.06 Mb) of SMXA-5 mice. However, the chromosomal region containing Fl1sa was too broad. The aim of this study was to narrow the Fl1sa region by genetic dissection using novel congenic mice and to identify candidate genes within the narrowed Fl1sa region.
We established two congenic strains, R2 and R3, from parental A/J-12SM and A/J strains. R2 and R3 strains have genomic intervals of centromere-29.20 Mb and 29.20–46.75 Mb of chromosome 12 derived from SM/J, respectively. Liver triglyceride content in R2 and R3 mice was significantly lower than that in A/J mice fed with a high-fat diet for 7 weeks. This result suggests that at least one of the genes responsible for fatty liver exists within the two chromosomal regions centromere-29.20 Mb (R2) and 29.20–46.75 Mb (R3). We found that liver triglyceride accumulation is inversely correlated with epididymal fat weight among the parental and congenic strains. Therefore, the ectopic fat accumulation in the liver may be due to organ-organ interactions between the liver and epididymal fat. To identify candidate genes in Fl1sa, we performed a DNA microarray analysis using the liver and epididymal fat in A/J and A/J-12SM mice fed with a high-fat diet for 7 weeks. In epididymal fat, mRNA levels of Zfp125 (in R2) and Nrcam (in R3) were significantly different in A/J-12SM mice from those in A/J mice. In the liver, mRNA levels of Iah1 (in R2) and Rrm2 (in R2) were significantly different in A/J-12SM mice from those in A/J mice.
In this study, using congenic mice analysis, we narrowed the chromosomal region containing Fl1sa to two regions of mouse chromosome 12. We then identified 4 candidate genes in Fl1sa: Iah1 and Rrm2 from the liver and Zfp125 and Nrcam from epididymal fat.
Nonalcoholic fatty liver disease (NAFLD) is a multifactorial disease caused by interactions between environmental and genetic factors. NAFLD is frequently complicated by type 2 diabetes, obesity, insulin resistance, and hyperlipidemia. In developed countries, the prevalence of NAFLD reached approximately 30% of adults [1, 2]. Environmental factors such as high-fat diets, methionine/choline-deficient diets, and low-carbohydrate (ketogenic) diets can induce development of NAFLD [3, 4]. In humans, APOC3 variants, PLIN1 mutations, and PNPLA3 variants have been reported as genetic factors of NAFLD [1, 5]. However, the underlying mechanism of how environmental and genetic factors interact to cause NAFLD is largely unknown.
SMXA-5 mouse is one of the SMXA recombinant inbred (RI) strains established from parental SM/J and A/J strains . We have previously found that SMXA-5 mice developed severe fatty liver on a high-fat diet, although parental SM/J and A/J mice were resistant to fatty liver . To elucidate the genetic mechanism of NAFLD in SMXA-5 mice, we performed a quantitative trait locus (QTL) analysis using (SM/J × SMXA-5)F2 intercrossed mice and identified a significant QTL (Fl1sa, f atty l iver 1 in S MX A RI strains) for liver weight, liver triglyceride, and liver total lipid content on centromere-53.06 Mb of mouse chromosome 12 . This QTL for the development of fatty liver was attributed to the A/J allele. To confirm the effect of Fl1sa, we analyzed the fatty liver phenotypes in A/J-12SM chromosomal substitution (consomic) mice, in which chromosome 12 of the SM/J mouse was introduced into the A/J mouse genome. Consequently, we demonstrated that liver total lipid, liver triglyceride, and liver weight in A/J-12SM mice were significantly lower than those in A/J mice on a high-fat diet for 7 weeks, but not lower than those in mice on the normal diet . We verified the effect of the A/J-derived Fl1sa on the development of the high-fat diet-induced fatty liver. We also identified three candidate genes, Iah1, Rrm2, Prkd1, in Fl1sa by DNA microarray analysis using livers of A/J and A/J-12SM mice fed on a high-fat diet.
In this study, to narrow the chromosomal region of Fl1sa, first, we constructed two strains of congenic mice, R2 and R3, from parental A/J and A/J-12SM strains (Fig. 1), and then analyzed the lipid accumulation in their liver. As the liver triglyceride content in R2 and R3 congenic mice was significantly lower than that in A/J mice, the Fl1sa region was narrowed to two parts of chromosome 12. Subsequently, in both the narrowed Fl1sa regions, we attempted to identify candidate genes in Fl1sa using DNA microarray analyses of liver and epididymal fat from A/J and A/J-12SM mice. As a result, we identified several candidate genes in both the liver and epididymal fat.
The A/J strain was purchased from Japan SLC (Hamamatsu, Japan) and maintained in our facility at the Graduate School of Bioagricultural Sciences, Nagoya University. The A/J-12SM strain (chromosome 12 consomic mouse) was constructed from the A/J (recipient) and SM/J strain (donor) at the Institute for Laboratory Animal Research (Nagoya University) as previously described . The R2 and R3 congenic strains were constructed from A/J (recipient) and A/J-12SM strains (Fig. 1). Practically, to produce N1 mice that were heterozygous for the SM/J-derived chromosome 12 on the background strain A/J, male A/J-12SM mice were mated with female A/J mice. The N1 mice were then backcrossed to A/J mice to produce heterozygous mice carrying novel genomic intervals of interest on chromosome 12. Heterozygous mice were mated with A/J mice and their progeny with the same genomic intervals were obtained. Finally, to generate mice carrying homozygous novel genomic intervals, the heterozygous mice were intercrossed. Mouse tails were collected under anesthesia induced using isoflurane. Genomic DNA was extracted from tails using the DNeasy Blood & Tissue kit (QIAGEN). Microsatellite markers and single nucleotide-polymorphisms (SNPs) were used for genotyping of R2 and R3 genomic DNA (Additional file 1). The physical positions of microsatellite markers and SNPs were taken from the Ensembl database (GRCm38.P4). We previously mapped the QTL (Fl1sa) for fatty liver by using male (SM/JxSMXA-5)F2 mice . Subsequently, we have confirmed that the Fl1sa contributed to fatty liver traits in male A/J-12SM consomic mice . Therefore, in this study, all procedures were performed by using only male mice. All mice were maintained in our facilities at a temperature of 23 ± 2 °C, humidity of 55 ± 5%, and a light/dark cycle of 12 h. Mice were weaned at 3 weeks of age and housed at one animal per cage. All mice had access to food and tap water ad libitum.
Experimental schedule and diet composition
Male A/J, A/J-12SM, R2, and R3 mice were fed CE-2 standard chow (CLEA Japan, Inc., Japan) until 6 weeks of age, thereafter fed a high-fat diet (D07053003; Research Diets, New Brunswick, NJ, USA) from 6 to 13 weeks of age. The composition (per kg diet) of the high-fat diet was as follows: casein, 209 g; carbohydrate (corn starch: sucrose: maltodextrin 10, 94:100:175), 369 g; mineral mix S10022G, 35 g; vitamin mix V10037, 10 g; choline bitartrate, 2 g; corn oil, 35 g; lard, 300 g; and cellulose BW200, 40 g. The content of fat in this diet was 56% (energy %). The body weight and food intake were measured every week during the experimental period (6–13 weeks of age). At 13 weeks of age, all mice were sacrificed by cervical dislocation after 4-h fast (9:00–13:00 h). The liver and white adipose tissue (subcutaneous fat, epididymal fat, mesenteric fat, and retroperitoneal fat) were harvested, weighed, and immediately frozen using liquid nitrogen. Blood samples were collected from orbital veins to measure serum lipids. All procedures and animal care were approved by the Animal Experiment Committee, Graduate School of Bioagricultural Sciences, Nagoya University (approval No. 2013021803, 2014020403, 2015022603) and were carried out in accordance with the Regulations on Animal Experiments of Nagoya University.
Measurement of serum triglyceride and cholesterol
Serum triglyceride and cholesterol concentrations were measured using the Triglyceride-E test Kit (Wako Pure Chemical Industries, Japan) and the Cholesterol-E test Kit (Wako Pure Chemical Industries, Japan), respectively.
Hepatic triglyceride and total lipid content analysis
Frozen livers (approximately 0.5 g each) were homogenized using chloroform-methanol (2:1), and statically extracted overnight. A portion of the organic extract was dried, and the hepatic triglyceride content was measured using the Triglyceride-E test Kit. The remaining organic solvent was used for total liver lipid measurement as previously described by Folch et al. .
DNA microarray analysis in epididymal fat
Total RNA was isolated using the TRI reagent (Molecular Research Center Inc.) and RNeasy Mini Kit (QIAGEN) from frozen epididymal fat obtained from 4-h fasted A/J and A/J-12SM male mice that were fed the high-fat diet for 7 weeks. Total RNA from three mice per strain was pooled for each chip. Whole transcripts from epididymal fats were measured using a Mouse Genome ST 2.0 array (Affymetrix). Raw data were normalized with RMA-sketch algorithm by Affymetrix Expression Console Software ver.1.3.0. The microarray data have been deposited in the NCBI Gene Expression Omnibus (GEO) (GSE79281). The details of expression profiles are shown in Additional file 2.
Total RNA was isolated using the TRI reagent from frozen liver and epididymal fat of A/J, A/J-12SM, R2, and R3 male mice that were fed the high-fat diet for 7 weeks. Isolated RNA was then treated with TURBO DNA-free kit (Ambion) to eliminate DNA contamination. Thereafter, the cDNA was synthesized from DNase-treated total RNA using the High Capacity Reverse Transcription kit (Applied Biosystems). Gene expression was determined using the StepOnePlusTM Real-Time PCR System (Applied Biosystems) with the Thunderbird qPCR Mix or the Thunderbird SYBR qPCR Mix (TOYOBO, Japan). Each mRNA level was normalized to the corresponding β-actin mRNA level. To determine the mRNA level of Iah1, we used TaqMan probes (TaqMan Gene Expression Assays, Mm00509467_m1; Applied Biosystems). The details of primers used for the SYBR Green assays are shown in Additional file 3.
All results were expressed as mean ± SEM. One-way ANOVA and subsequent Dunnett’s test were used to compare the means of A/J-12SM, R2, and R3 with those of A/J mice. Student’s t-test was used to compare the means between A/J and A/J-12SM mice. The correlation between fatty liver parameters (liver weight and liver triglyceride content) and epididymal fat weight were analyzed using Spearman correlation analysis. Differences with p < 0.05 were regarded as significant. Statistical analyses were performed by using StatView 5.0 software (SAS Institute, Cary, NC).
Phenotypic analysis in A/J, A/J-12SM, R2, and R3 mice that were fed the high-fat diet for 7 weeks
Although initial body weight and food intake were not different in each strain, the final body weight in A/J-12SM and R3 mice was significantly lower than that in A/J mice (Table 1). Liver and mesenteric fat weights in A/J-12SM mice were significantly lower than those in A/J mice. On the other hand, epididymal fat and retroperitoneal fat weight in A/J-12SM mice were significantly higher than those in A/J mice. R2 and R3 mice did not show any significant differences in tissue weight compared to A/J mice. However, liver weight in R2 and R3 mice tended to be slightly lower than that in A/J mice. In addition, epididymal fat weight in R2 mice tended to be higher than that in A/J mice. Liver triglyceride content was significantly lower in A/J-12SM, R2, and R3 mice, compared with that in A/J mice (Fig. 2a). The changes in liver total lipid content in all strains were similar to those in liver triglyceride content (Fig. 2b). Liver triglyceride and liver total lipid in R2 and R3 mice showed intermediate values between those of A/J and A/J-12SM mice. These results suggest that the genes responsible for fatty liver exist in the centromere-29.20 Mb (SM/J region in R2 strain) and 29.20–46.75 Mb (SM/J region in R3 strain) regions of chromosome 12, respectively (Fig. 1). Serum triglyceride concentration did not differ among all strains. Serum total cholesterol concentration in A/J-12SM mice was significantly lower than that in A/J mice; however, there were no differences in R2 and R3 mice relative to the A/J mice (Fig. 2c and d).
DNA microarray analysis of epididymal fat in A/J mice and A/J-12SM mice
Liver triglyceride and total lipid in A/J-12SM mice were significantly lower than those in A/J mice (Fig. 2a and b). An inverse correlation in tissue weight was observed between epididymal fat and the liver (r = −0.701, p < 0.0001, Fig. 3a). In addition, there was an inverse correlation between epididymal fat weight and liver triglyceride (r = −0.539, p < 0.0001, Fig. 3b). These results suggest that epididymal fat is an important tissue for the development of fatty liver. We then performed DNA microarray analysis in A/J and A/J-12SM mice using total RNA obtained from epididymal fat. We identified genes whose expression levels were changed <0.60-fold or >1.68-fold in A/J-12SM mice compared to those in A/J mice (Additional file 2 and Table 2). In epididymal fat, 19 genes were differentially expressed between the A/J and A/J-12SM mice in the centromere-46.75 Mb region on chromosome 12. The genes Pfn4, Fkbp1b, Apob, Nt5c1b, Ntsr2, Zfp125, Rsad2, Cmpk2, and Allc were found in the R2 interval (centromere-29.20 Mb) on chromosome 12 (Table 2). Furthermore, the genes Sh3yl1, Slc26a3, Gdap10, Cdhr3, Efcab10, Mir680-3, Dgkb, Nrcam, Stxbp6, and Nova1 were found in the R3 interval (29.20–46.75 Mb) on chromosome 12. In order to validate the expression of these genes, we performed real-time RT-PCR (except for Mir680-3, because it is a micro-RNA). We confirmed significant differences in gene expression levels of 6 genes (Ntsr2, Zfp125, Gdap10, Nrcam, Stxbp6, and Nova1) between A/J and A/J-12SM mice (Fig. 4a and b). Thus, we identified 6 candidate genes from epididymal fat.
Expression levels of candidate genes in congenic strains
We previously performed a DNA microarray analysis using mRNA from the liver and succeeded in identifying candidate genes Iah1 and Rrm2 in the R2 region (data have been deposited in the NCBI GEO (GSE67340)) . Furthermore, in this study, we succeeded in identifying candidate genes Ntsr2, Zfp125, Gdap10, Nrcam, Stxbp6, and Nova1, in epididymal fat from A/J and A/J-12SM mice by DNA microarray analysis and real-time RT-PCR (Fig. 4). Subsequently, we analyzed the mRNA levels of candidate genes in congenic mice. In the liver, Iah1 (isoamyl acetate-hydrolyzing esterase 1 homolog (Saccharomyces cerevisiae); 21.31 Mb in the R2 region) mRNA level was significantly higher in A/J-12SM and R2 mice than in A/J mice (Fig. 5a). Rrm2 (Ribonucleotide reductase M2; 24.70 Mb in R2 region) mRNA level was significantly lower in A/J-12SM and R2 mice than in A/J mice. In the epididymal fat, Ntsr2 (neurotensin receptor 2; 16.65 Mb in R2 region) mRNA levels tended to be higher in A/J-12SM and R2 mice than in A/J mice (Fig. 5b). Zfp125 (Zinc finger protein 125; 20.89 Mb in R2 region) mRNA levels were significantly lower in A/J-12SM and R2 mice than in A/J mice. Gdap10 (ganglioside-induced differentiation-associated-protein 10; 32.82 Mb in R3 region), Stxbp6 (syntaxin binding protein 6 (amisyn); 44.85 Mb in R3 region), and Nova1 (neuro-oncological ventral antigen 1; 46.69 Mb in R3 region) mRNA levels were significantly different in A/J-12SM mice, but not in R3 mice compared to those in A/J mice (Fig. 5c). Nrcam (neuronal cell adhesion molecule; 44.32 Mb in R3 region) mRNA levels were significantly lower in A/J-12SM and R3 mice than in A/J mice. In summary, only Zfp125 mRNA levels were significantly different between R2 and A/J mice, and only Nrcam mRNA levels were significantly different between R3 and A/J mice. These results suggest that Zfp125 and Nrcam in epididymal fat are candidate genes in Fl1sa.
We previously found that SMXA-5 mice developed a fatty liver induced by a high-fat diet, and further identified Fl1sa in the region centromere-53.06 Mb on chromosome 12 as the fatty liver QTL. We then determined the A/J-derived allele of Fl1sa to be the cause of fatty liver. In this study, we chose a congenic mapping strategy to narrow the Fl1sa region and conducted a microarray analysis to identify candidate genes in Fl1sa.
First, we narrowed the chromosomal region of Fl1sa because the chromosomal region spanned by Fl1sa was extremely broad (centromere-53.06 Mb, 611 genes). Therefore, we established the R2 and R3 congenic strains (Fig. 1) and then analyzed the liver lipid accumulation of these congenic mice that were fed the high-fat diet for 7 weeks. Final body weight in A/J-12SM and R3 mice was significantly lower than that in A/J mice, even though food intake was the same between the R3 congenic mice and the A/J mice (Table 1). Liver triglyceride content in A/J-12SM, R2, and R3 mice was significantly lower than that in A/J mice (Fig. 2a); however, the liver total lipid content in R2 and R3 mice was not significantly changed compared to that in A/J mice (Fig. 2b). The results of liver lipid analysis showed that R2 and R3 mice had a smaller effect on fatty liver compared to A/J-12SM mice. Both serum triglyceride and total cholesterol concentrations were not different in R2 and R3 mice from those in A/J mice (Fig. 2c and d). In both congenic mice, serum lipid levels did not correlate with the accumulation of triglycerides in the liver. These results suggest that at least one of the genes responsible for fatty liver exists within the chromosomal region of the SM/J allele in R2 (centromere-29.20 Mb) and R3 (29.20–46.75 Mb) mice, respectively. The genes in the R2 and R3 regions were not found to be effective in altering the serum lipid concentration; however, genes in the R3 region might affect body weight gain. Moreover, genes in these regions might interact with each other because liver triglyceride and liver total lipid content in R2 and R3 mice were not as low as those in A/J-12SM mice.
Second, we attempted to identify candidate genes in Fl1sa in the R2 and R3 chromosomal region. We previously used DNA microarray to analyze the comprehensive gene expression of livers in A/J and A/J-12SM mice that were fed the high-fat diet for 7 weeks . In this study, we refined the list of genes in this region whose expression levels in the liver were different between A/J and A/J-12SM mice (<0.60-fold or >1.68-fold) in the R2 and R3 regions (centromere-29.20 Mb and 29.20–46.75 Mb, respectively). We explored candidate genes having cis-acting expression in each chromosomal region of R2 and R3 mice. Consequently, we succeeded in isolating two genes, Iah1 (21.31 Mb) and Rrm2 (24.70 Mb), as candidate genes in the R2 region (Fig. 5a). Iah1 was identified as an esterase that exhibits hydrolytic activity against acetate esters in yeast . We previously reported that mouse Iah1 mRNA is broadly expressed in the liver, kidney, epididymal fat, lung, spleen, and muscle . Furthermore, stable overexpression of mouse Iah1 in Hepa1-6 cells suppressed the mRNA expression of lipid metabolism-related genes Cd36 and Dgat2 . Our data suggested that mouse Iah1 prevents the development of fatty liver by suppressing Cd36 and Dgat2 gene expression. Thus, we suggest that high expression of Iah1 contributes to the decreased liver triglyceride content in R2 congenic mice. Rrm2 encodes the β-subunit of the protein ribonucleotide reductase, a rate-limiting enzyme involved in de novo dNTP biosynthesis . It was reported that RRM2 overexpression was observed in various types of cancer , and that patients with liver cirrhosis and hepatocellular carcinoma exhibited high levels of RRM2 . However, the relationship between Rrm2 and fatty liver has not been clarified. From the present results, we identified Iah1 and Rrm2 as candidate genes in the liver for the development of fatty liver.
On the other hand, liver weight and liver triglyceride content are inversely correlated with epididymal fat weight (Fig. 3a and b). These results suggest that controlling the epididymal fat weight contributes to triglyceride accumulation in the liver. In addition, it was reported that liver lipid accumulation and epididymal fat weight showed inverse correlation in other mouse strains [15, 16]. To identify differentially expressed genes in epididymal fat, we performed DNA microarray analysis using RNAs from epididymal fat of A/J and A/J-12SM mice. We detected 19 genes, whose expression levels in epididymal fat were changed between A/J and A/J-12SM mice (<0.60-fold or >1.68-fold) within the R2 and R3 chromosomal regions (Table 2). Subsequently, we validated 6 candidate genes whose mRNA levels in A/J-12SM mice were significantly different from those in A/J mice: Ntsr2 (16.65 Mb), Zfp125 (20.89 Mb), Gdap10 (32.82 Mb), Nrcam (44.32 Mb), Stxbp6 (44.85 Mb), and Nova1 (46.69 Mb) (Fig. 4a and b). Finally, we selected Zfp125 (20.89 Mb, in R2 region) and Nrcam (44.32 Mb, in R3 region) as candidate genes in epididymal fat, because their mRNA levels in R2 and R3 congenic mice were significantly different in accordance with the change in A/J-12SM mice compared to A/J mice (Fig. 5b and c). Zfp125 is a zinc finger protein expressed in many tissues and might be involved in the regulation of cellular processes such as cell proliferation and transformation . Nrcam is a neuronal cell adhesion molecule that mediates neuron-neuron and neuron-glia adhesion . Furthermore, it was reported that Nrcam was induced in the liver of Fisher-344 rats fed 2-aminoanthracene . Further investigation is needed to clarify the functions of these two genes in lipid metabolism.
The R2 and R3 regions on mouse chromosome 12 are syntenically conserved in three regions on human chromosomes 2, 7, and 14. In these syntenic regions, human Genome Wide Association Studies (GWAS) for metabolic syndrome identified 205 SNPs, which were shown in GWAS catalog (NHGRI-EBI Catalog of published genome-wide association studies, http://www.ebi.ac.uk/gwas/home). However, there are no SNPs associated with metabolic syndrome in 4 candidate genes (Iah1, Rrm2, Zfp125, and Nrcam).
Moreover, we previously performed exome analysis in A/J and SM/J (data were deposited in DDBJ Sequence Read Archive, Accession No. DRA002145). We identified non-synonymous SNPs between A/J and SM/J mice (48 genes) in the genomic region R2 and R3 from the exome data (Additional files 4 and 5). The genes having non-synonymous SNPs might cause the change in the function of their translated proteins. We also consider these genes as potential candidate genes for fl1sa. At present, we cannot assess the importance of amino acid substitutions in each gene. In Iah1 gene, we confirmed the two non-synonymous SNPs and these SNPs lead to amino acid substitutions (S37A and G75E in A/J strain, Additional files 4 and 5). Other candidate genes identified by our DNA microarray analysis did not have the non-synonymous SNPs.
In this study, by using R2 and R3 congenic mice, we identified Iah1 and Rrm2 from the liver, and Zfp125 and Nrcam from epididymal fat as candidate genes in Fl1sa. Although the relationship between these genes and fatty liver has not been previously reported, we demonstrated that Iah1 overexpression affected the expression of lipid metabolism-related genes in Hepa1-6 cells . Therefore, at present, we are examining the incidence of fatty liver in Iah1-knockout mice. We hypothesize that ectopic fat accumulation in the liver was brought by the organ-organ interaction between the liver and epididymal fat. Thus, Zfp125 and Nrcam in epididymal fat might affect liver triglyceride accumulation through the regulation of epididymal fat weight. In future experiments, to uncover the molecular mechanism underlying the relation between these candidate genes and lipid metabolism, we will need to perform overexpression or knockdown experiments using candidate genes in hepatocytes or adipocytes. Overall, this study is the first step to elucidating the mechanism of fatty liver development coinciding with changes in fat distribution.
Diacylglycerol O-acyltransferase 2
- Fl1sa :
Fatty liver 1 in SMXA RI strains
Ganglioside-induced differentiation-associated-protein 10
Isoamyl acetate-hydrolyzing esterase 1 homolog (Saccharomyces cerevisiae)
Nonalcoholic fatty liver disease
Neuro-oncological ventral antigen 1
Neuronal cell adhesion molecule
Neurotensin receptor 2
Patatin-like phospholipase domain containing protein 3
Protein kinase D1
Quantitative trait locus
Ribonucleotide reductase M2
SRY (sex determining region Y)-box 4
Syntaxin binding protein 6 (amisyn)
Zinc finger protein 125
Birkenfeld AL, Shulman GI. Nonalcoholic fatty liver disease, hepatic insulin resistance, and type 2 diabetes. Hepatology. 2014;59(2):713–23.
Musso G, Cassader M, Rosina F, Gambino R. Impact of current treatments on liver disease, glucose metabolism and cardiovascular risk in non-alcoholic fatty liver disease (NAFLD): a systematic review and meta-analysis of randomised trials. Diabetologia. 2012;55(4):885–904.
Takahashi Y, Soejima Y, Fukusato T. Animal models of nonalcoholic fatty liver disease/nonalcoholic steatohepatitis. World J Gastroenterol. 2012;18(19):2300–8.
Schugar RC, Crawford PA. Low-carbohydrate ketogenic diets, glucose homeostasis, and nonalcoholic fatty liver disease. Curr Opin Clin Nutr Metab Care. 2012;15(4):374–80.
Mohlke KL. Nonsynonymous variants and fatty liver disease. Nat Genet. 2008;40(12):1394–5.
Nishimura M, Hirayama N, Serikawa T, Kanehira K, Matsushima Y, Katoh H, Wakana S, Kojima A, Hiai H. The SMXA - a new set of recombinant inbred strain of mice consisting of 26 substrains and their genetic profile. Mamm Genome. 1995;6(12):850–7.
Kobayashi M, Io F, Kawai T, Nishimura M, Ohno T, Horio F. SMXA-5 mouse as a diabetic model susceptible to feeding a high-fat diet. Biosci Biotechnol Biochem. 2004;68(1):226–30.
Kumazawa M, Kobayashi M, Io F, Kawai T, Nishimura M, Ohno T, Horio F. Searching for genetic factors of fatty liver in SMXA-5 mice by quantitative trait loci analysis under a high-fat diet. J Lipid Res. 2007;48(9):2039–46.
Kobayashi M, Suzuki M, Ohno T, Tsuzuki K, Taguchi C, Tateishi S, Kawada T, Kim YI, Murai A, Horio F. Detection of differentially expressed candidate genes for a fatty liver QTL on mouse chromosome 12. BMC Genet. 2016;17(1):73.
Ohno T, Hata K, Baba T, Io F, Kobayashi M, Horio F, Nishimura M. Establishment of consomic strains derived from A/J and SM/J mice for genetic analysis of complex traits. Mamm Genome. 2012;23(11–12):764–9.
Folch J, Lees M, Stanley GHS. A simple method for the isolation and purification of total lipides from animal tissues. J Biol Chem. 1957;226(1):497–509.
Fukuda K, Kiyokawa Y, Yanagiuchi T, Wakai Y, Kitamoto K, Inoue Y, Kimura A. Purification and characterization of isoamyl acetate-hydrolyzing esterase encoded by the IAH1 gene of Saccharomyces cerevisiae from a recombinant Escherichia coli. Appl Microbiol Biotechnol. 2000;53(5):596–600.
Aye Y, Li M, Long MJC, Weiss RS. Ribonucleotide reductase and cancer: biological mechanisms and targeted therapies. Oncogene. 2015;34(16):2011–21.
Lee B, Ha SY, Song DH, Lee HW, Cho SY, Park C-K. High expression of ribonucleotide reductase subunit M2 correlates with poor prognosis of hepatocellular carcinoma. Gut Liver. 2014;8(6):662–8.
Uno K, Katagiri H, Yamada T, Ishigaki Y, Ogihara T, Imai J, Hasegawa Y, Gao J, Kaneko K, Iwasaki H, et al. Neuronal pathway from the liver modulates energy expenditure and systemic insulin sensitivity. Science. 2006;312(5780):1656–9.
Itoi-Babaya M, Ikegami H, Fujisawa T, Ueda H, Nojima K, Babaya N, Kobayashi M, Noso S, Kawaguchi Y, Yamaji K, et al. Fatty liver and obesity: phenotypically correlated but genetically distinct traits in a mouse model of type 2 diabetes. Diabetologia. 2007;50(8):1641–8.
Giorgi S, Polimeni M, Senni MI, De Gregorio L, Dragani TA, Molinaro M, Bouche M. Isolation and characterization of the murine zinc finger coding gene, ZT2: expression in normal and transformed myogenic cells. Gene. 1999;230(1):81–90.
Brand Y, Sung M, Pak K, Chavez E, Wei E, Radojevic V, Bodmer D, Ryan AF. Neural cell adhesion molecule NrCAM is expressed in the mammalian inner ear and modulates spiral ganglion neurite outgrowth in an in vitro alternate choice assay. J Mol Neurosci. 2015;55(4):836–44.
Gato WE, Hales DB, Means JC. Hepatic gene expression analysis of 2-aminoanthracene exposed Fisher-344 rats reveal patterns indicative of liver carcinoma and type 2 diabetes. J Toxicol Sci. 2012;37(5):1001–16.
This work supported by the program for Leading Graduate Schools “Integrative Graduate Education and Research in Green Natural Sciences”, MEXT, Japan (to MS).
This work was supported by a Grant-in-Aid for Scientific Research (C) (No. 25450166) from the Japan Society for the Promotion of Sciences, a grant from the Uehara Memorial Foundation (to MK).
Availability of data and materials
The dataset supporting the conclusions of this article is available in the GEO repository [http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE79281].
MS performed the experiments and wrote this manuscript. MK and FH contributed to the design of the experiments, interpretation of the data and editing of this manuscript. TO contributed to interpretation of the data and construction of congenic mice. SK contributed to analysis of congenic phenotypes. ST contributed to construction of congenic mice. AM contributed to interpretation of the data. All authors have read and approved the final manuscript.
The authors declare that they have no competing interests.
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Ethics approval and consent to participate
All procedures and animal care were approved by the Animal Experiment Committee, Graduate School of Bioagricultural Sciencies, Nagoya University (approval No.2013021803, 2014020403, 2015022603) and carried out in accordance with the Regulations on Animal Experiments of Nagoya University.
Sequences of primers used for genotyping. (DOCX 14 kb)
Expression profiles of all genes in R2 and R3 regions. (XLSX 43 kb)
Sequences of primers used for real-time RT-PCR. (DOCX 21 kb)
Allelle variants on chromosome 12 (Centromere-46.75 Mb) in A/J strain versus C57BL/6 strain. (XLSX 15 kb)
Allelle variants on chromosome 12 (Centromere-46.75 Mb) in SM/J strain versus C57BL/6 strain. (XLSX 13 kb)
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Suzuki, M., Kobayashi, M., Ohno, T. et al. Genetic dissection of the fatty liver QTL Fl1sa by using congenic mice and identification of candidate genes in the liver and epididymal fat. BMC Genet 17, 145 (2016). https://doi.org/10.1186/s12863-016-0453-7
- Fatty liver
- Epididymal fat
- Candidate gene