Abstract
Nonalcoholic fatty liver disease (NAFLD) is a pathological condition caused by excess triglyceride deposition in the liver. The SMXA-5 severe fatty liver mouse model has been established from the SM/J and A/J strains. To explore the genetic factors involved in fatty liver development in SMXA-5 mice, we had previously performed quantitative trait locus (QTL) analysis, using (SM/J×SMXA-5)F2 intercross mice, and identified Fl1sa on chromosome 12 (centromere-53.06 Mb) as a significant QTL for fatty liver. Furthermore, isoamyl acetate-hydrolyzing esterase 1 homolog (Iah1) was selected as the most likely candidate gene for Fl1sa. Iah1 gene expression in fatty liver-resistant A/J-12SM mice was significantly higher than in fatty liver-susceptible A/J mice. These data indicated that the Iah1 gene might be associated with fatty liver development. However, the function of murine Iah1 remains unknown. Therefore, in this study, we created Iah1 knockout (KO) mice with two different backgrounds [C57BL/6N (B6) and A/J-12SM (A12)] to investigate the relationship between Iah1 and liver lipid accumulation. Liver triglyceride accumulation in Iah1-KO mice of B6 or A12 background did not differ from their respective Iah1-wild type mice under a high-fat diet. These results indicated that loss of Iah1 did not contribute to fatty liver. On the other hands, adipose tissue dysfunction causes lipid accumulation in ectopic tissues (liver, skeletal muscle, and pancreas). To investigate the effect of Iah1 deficiency on white adipose tissue, we performed DNA microarray analysis of epididymal fat in Iah1-KO mice of A12 background. This result showed that Iah1 deficiency might decrease adipokines Sfrp4 and Metrnl gene expression in epididymal fat. This study demonstrated that Iah1 deficiency did not cause liver lipid accumulation and that Iah1 was not a suitable candidate gene for Fl1sa.
Introduction
Nonalcoholic fatty liver disease (NAFLD) refers to a wide range of liver conditions which occur without excessive alcohol consumption, from simple steatosis to steatohepatitis, fibrosis, and cirrhosis [1]. The incidence of NAFLD has been increasing worldwide along with the increased prevalence of obesity, type 2 diabetes, and dyslipidemia [2]. Hepatic steatosis is caused by excessive energy intake and lack of exercise, and occurs when the balance of the lipid metabolism in the liver is disrupted. However, as not only environmental factors, such as diet and exercise, but also genetic factors, affect NAFLD development, the pathogenesis of this disease has not been fully understood.
The SMXA-5 mouse strain is one of the SMXA recombinant inbred strains created from SM/J and A/J mice that are resistant to fatty liver [3]. The SMXA-5 mouse, whose chromosome consists of parental chromosomal fragments, shows severe fatty liver under a short-term high-fat diet [4]. This indicates that a combination of multiple genes causes fatty liver in SMXA-5 mice. To identify the genetic factors involved in fatty liver development in SMXA-5 mice, we previously performed quantitative trait locus (QTL) analysis using (SM/J×SMXA-5)F2 intercross mice [5]. QTLs for liver weight, liver TG content, and total liver lipid content were mapped to the region from the centromere to 53.06 Mb on the mouse chromosome 12 and named Fl1sa (Fatty Liver 1 in SMXA) [5]. On Fl1sa, the fatty liver-susceptible allele was A/J and the resistant allele was SM/J. The effect of Fl1sa was confirmed using A/J-12SM consomic mice, a strain which possesses the resistant chromosome 12 of SM/J mice and the genetic background of A/J mice. DNA microarray analysis in the liver showed that Iah1 (isoamyl acetate-hydrolyzing esterase 1 homolog) gene expression in fatty liver-resistant A/J-12SM mice was higher than in fatty liver-susceptible A/J mice [6]. We also confirmed by congenic mice analysis that the chromosomal region possessing the Iah1 gene contained genes responsible for fatty liver development [7]. Therefore, we have selected Iah1, which is located at 21.31 Mb on mouse chromosome 12, as the most likely candidate gene for Fl1sa. Previous studies have reported that the yeast IAH1 protein has esterase activity [8, 9]. However, the function of murine IAH1 is largely unknown. We previously reported that Iah1 overexpression in a mouse hepatoma cell line (Hepa1-6) affected gene expression of the lipid metabolism [6].
In this study, to investigate the relationship between Iah1 and liver lipid accumulation, we produced Iah1 knockout (KO) mice with a C57BL/6N and A/J-12SM background. We also performed DNA microarray analysis using the epididymal fat tissue of A/J-12SM (WT_A12) and A/J-12SM Iah1-KO mice (KO_A12) to investigate the effect of Iah1 deficiency on lipid metabolism.
Materials and methods
Animals
The tm1a (Iah1tm1a (EUCOMM) Hmgu) mice were obtained from the European Conditional Mouse Mutagenesis Program (EUCOMM). The CAG-Cre [B6.Cg-Tg (CAG-Cre) CZ-MO2Osb] [10] mice were obtained from RIKEN BRC (Japan, RBRC01828). The tm1a mice had a C57BL/6NTac genetic background and had a heterozygous knockout-first allele with the loxP and Frt sites (http://www.mousephenotype.org/about-ikmc/eucomm) (S1 Fig) [11]. The CAG-Cre transgenic mice (C57BL/6NCrSlc genetic background) constitutively express the Cre recombinase gene under the control of a CAG promoter. To generate KO mice, the tm1a heterozygotes were crossed with CAG-Cre mice resulting in tm1b heterozygotes which were heterozygous for Cre (mate A in S1 Fig). The genomic construct in tm1b mice had exons 3 and 4 deleted, which leads to the production of a truncated mRNA, thereby resulting in non-sense mediated decay of the RNA. To remove the Cre recombinase, the tm1b heterozygotes (Iah1tm1b/WT, Cre/WT) were crossed with mice which had the same genotype and the heterozygotes (Iah1tm1b/WT, WT/WT) without Cre were chosen (mate B in S1 Fig). The Iah1tm1b heterozygotes were intercrossed to generate Iah1WT/WT (wild type, WT_B6), Iah1tm1b/WT (heterozygous KO, Hetero), and Iah1tm1b/tm1b (homozygous KO, KO_B6) (mate C in S1 Fig). These lines were maintained by (heterozygous×heterozygous) breeding. To ameliorate animal suffering, the tails of the mice were collected under anesthesia using isoflurane in order to perform genotyping. DNA extraction from the tail (about 10 mg) was performed using the DNeasy Blood & Tissue kit (QIAGEN). The primer sequences used for genotyping are described in S1 Table.
The A/J-Chr12SM consomic strain (A/J-12SM) was obtained from the Institute for Laboratory Animal Research, Nagoya University School of Medicine. The A/J-12SM consomic mouse strain was established by the introduction of chromosome 12 of the SM/J mouse into the A/J mouse background as previously described [12]. Targeted disruption of the Iah1 gene on the A/J-12SM background was carried out by using the CRISPR/Cas9 method as previously described [13, 14]. The CRISPR RNA (crRNA) sequences were 5ʹ-CTGTGCGAGCGAGCTGCTAG(CGG)-3ʹ (Iah1_g21316438-21316460) and 5ʹ-CTTCGGGGACTCCATCACGC(AGG)-3ʹ (Iah1_g21316491-21316513). The two crRNAs were designed using the CRISPOR website (http://crispor.tefor.net/) [15]. Founder mice were mated with A/J-12SM mice to produce offspring with heterozygous mutations in the Iah1 gene. The DNA sequence in the Cas-9 nuclease-target region was confirmed by Sanger sequencing. The primer sequences used were as follows, 5ʹ-GAAGTCAGGCGGTCTACAGTGAG-3ʹ (Forward) and 5ʹ-GGAAGAGAGGAGTGAACTAGTCGG-3ʹ (Reverse). Off-target sites were predicted using CRISPOR [15]. The top four or five highest-scoring genes as ranked by the MIT off-target score were amplified by PCR and subjected to DNA sequence analysis (S2 Table). Finally, to generate A/J-12SM Iah1 homozygous KO mice (KO_A12), the heterozygous mice were intercrossed. The genomic DNA was amplified by PCR using primers for Iah1 genotyping, namely 5ʹ-TTTCTACCATGTCGCTGTGC-3ʹ (forward) and 5ʹ-AGGCGGACCCTTTAAGCTC-3ʹ (reverse). The size differences between the PCR products obtained from the Iah1-wild type allele and mutation allele were detected by agarose gel electrophoresis. The established KO_A12 line was maintained by (homozygous × homozygous) breeding. A/J-12SM (WT_A12) mice were used as a control for KO_A12 mice.
All mice were maintained at 23 ± 2 °C with a 12-h light/dark cycle (light on from 8:00 to 20:00) and ad libitum access to food and water under conventional conditions, in the facilities at the Graduate School of Bioagricultural Sciences, Nagoya University. Mice were weaned at 3 weeks of age and they were housed individual cages at 5 weeks of age.
Diet and experimental schedule
Male Iah1-wild type (WT_B6 or WT_A12) and -KO (KO_B6 or KO_A12) mice were fed with a standard chow, CE-2 (CLEA Japan, Inc., Japan), until 6 weeks of age. Subsequently, all mice were fed with a high-fat diet (D07053003; Research Diets, New Brunswick, NJ, USA) from 6 to 18 weeks of age (for 12 weeks). The composition of the high-fat diet was previously described [7]. Briefly, the high-fat diet used includes lard (30% w/w) and casein (20.9% w/w). The body weight was measured every week during the experimental period (6–18 weeks of age). At 18 weeks of age, blood samples were collected from orbital veins after a 4 h fast (9:00 to 13:00). Then, the mice were sacrificed by cervical dislocation. The tissues (liver, kidney, lung, brown adipose tissue, epididymal fat, subcutaneous fat, mesenteric fat, and retroperitoneal fat) were collected, weighed, and immediately frozen using liquid nitrogen.
This study was carried out in accordance with the Regulations on Animal Experiments of Nagoya University. All procedures and animal care were approved by the Animal Experiment Committee, Graduate School of Bioagricultural Sciences, Nagoya University (approval No. 201622604, 2017030219, 2018031316).
DNA sequence analysis
The Iah1 gene and off-target candidate genes of KO_A12 mice were amplified by PCR and the PCR products were purified using the ExoSAP-IT kit (Affymetrix). The primers used for sequence analysis of off-target effects are shown in S2 Table. The purified PCR products were labeled using the BigDye Terminator v3.1 Cycle Sequencing Kit and the labeled DNA was purified by ethanol precipitation. The precipitate was then dissolved in Hi-Di Formamide (Applied Biosystems). DNA sequences were determined using the Applied Biosystem 3130/3130xl Genetic Analyzer (Applied Biosystems).
Western blot analysis
Frozen tissues (approximately 0.2 g each) were homogenized using lysis buffer (10 mM Tris-HCl pH 7.4; 150 mM NaCl; 1% Triton X-100; 0.5% sodium deoxycholate; 0.1% SDS) containing a protease inhibitor cocktail (Complete EDTA-free Protease Inhibitor Cocktail, Roche Applied Science). After being mixed well, the homogenates were incubated on ice for 1 h. Thereafter, they were centrifuged at 16,000×g for 20 min at 4 °C and the supernatants were collected. The protein content in the supernatants was measured by using the DC Protein Assay Kit (Bio-Rad Laboratories, Japan) and 10 μg of protein was subjected to SDS-PAGE on a 10% acrylamide gel. Subsequently, the proteins in the gel were transferred on PVDF membranes (Hybond P; GE Healthcare, Little Chalfont, Buckinghamshire, UK) by semidry blotting. The membrane was incubated for 30 min with EzBlock Chemi (ATTO Corporation, Tokyo, Japan). The membrane was then washed with TBS buffer supplemented with 0.05% Tween 20 (TBS-T) and incubated overnight at 4 °C with the primary antibody, rabbit polyclonal anti-mouse IAH1 (1:20,000; Medical and Biological laboratories, Japan) and anti-mouse alpha-Tubulin (1:3,000; #2144; Cell Signaling Technology Inc.). Afterwards, the membrane was washed with TBS-T and then incubated with the secondary antibody, horseradish peroxidase-conjugated goat anti-rabbit IgG antibody (1:10,000; #7074; Santa Cruz Biotechnology, USA), for 1 h at 20–25°C. Finally, the membrane was washed with TBS-T and the proteins bands were detected with a West Dura Western Blot Detection kit using the ECL method (Thermo Fisher Scientific). All antibodies were diluted with Can Get Signal (TOYOBO, Tokyo, Japan).
Measurement of serum lipids and glucose concentrations
Serum triglyceride (TG), total cholesterol (TC), HDL-cholesterol (HDL-C), phospholipid (PL), and non-esterified fatty acid (NEFA) concentrations were measured using Triglyceride-E test Kit, Cholesterol-E test Kit, HDL-Cholesterol-E test Kit, Phospholipid-C test Kit, and NEFA-C test Kit (all assay kits, respectively, which were obtained from Wako Pure Chemical Industries, Japan). Serum glucose concentrations were measured using Glucose-CII test kit (Wako Pure Chemical Industries).
Measurement of hepatic lipids
Frozen livers (approximately 0.3 g each) were homogenized with 25 mL of chloroform-methanol (2:1) and statically extracted overnight. The organic extracts (200 μL) were dried and dissolved in isopropanol (200 μL). TG and total TC in isopropanol were measured using the Triglyceride-E test Kit and Cholesterol-E test Kit, respectively. The remaining organic extract was used for the measurement of total liver lipids as previously described by Folch et al. [16].
Real-time qPCR
Total RNA from tissue was extracted using the TRI reagent (Molecular Research Center Inc.). The total RNA was treated with the TURBO DNA-free kit (Thermo Fisher Scientific) to remove DNA contamination. Then, cDNA was synthesized using the High Capacity Reverse Transcription kit (Applied Biosystems). We used a StepOne Plus Real-Time PCR System (Applied Biosystems) with the Thunderbird qPCR Mix or the Thunderbird SYBR qPCR Mix (TOYOBO, Japan) in order to measure gene expression levels. Each mRNA level was normalized to the corresponding β-actin mRNA level. TaqMan probes (TaqMan Gene Expression Assays, Mm00509467_m1; Applied Biosystems) were used to determine the mRNA level of Iah1. The primers used for the SYBR Green assays are shown in S3 Table.
DNA microarray analysis in epididymal fat
Total RNA was extracted from the epididymal fat of WT_A12 and KO_A12 mice fed with a high-fat diet for 12 weeks using the TRI reagent. Then, the obtained RNA was purified using the RNeasy Mini Kit (QIAGEN). Total RNA from three mice per strain was pooled for each array. The transcripts from epididymal fat were measured using a Clariom S Mouse Array (Applied Biosystems). Raw data were normalized with the STT-RMA algorithm using the Applied Biosystems GeneChip Console Software ver.1.3.0. The microarray data have been deposited in the NCBI Gene Expression Omnibus (GEO) (GSE14750).
Statistical analysis
All results were expressed as mean ± standard error of the mean (SEM). Student’s t-test was used to compare the means between WT (WT_B6 or WT_A12) and KO (KO_B6 or KO_A12) mice. Differences with a p < 0.05 with statistically significant.
Results
Iah1 KO mice on a C57BL/6N background
We constructed systemic Iah1 KO mice (KO_B6) by using the Cre/loxP system (S1 Fig) and analyzed their phenotype. The expression of Iah1 mRNA and IAH1 protein were not systemically detected in KO_B6 mice (S2 Fig). However, we did not observe a significant increase in total lipids and TG accumulation in the liver (Fig 1). Body weight, serum lipids concentrations, serum glucose concentrations, and liver weight did not differ between KO_B6 mice and WT_B6 mice (Table 1). Notably, the mesenteric fat weight was significantly increased in KO_B6 mice but the weight of other white adipose tissues remained unchanged between KO_B6 mice and WT_B6 mice (Table 1). Severe fatty liver in SMXA-5 mice is caused by a combination of multiple genes that are latent in the genomes of both A/J and SM/J mice. As such, systemic Iah1-KO mice on a C57BL/6N background might have not have led to the development of multiple gene-induced fatty liver. We also constructed Iah1-KO mice on A/J-12SM background and analyzed their phenotype.
Table 1. Body weight, serum parameters, and tissue weight of B6-Iah1 WT (WT_B6) and KO (KO_B6) mice fed with a high-fat diet (HFD) for 12 weeks.
C57BL/6 | |||
---|---|---|---|
WT_B6 | KO_B6 | P-value | |
Body weight (g) | |||
0 weeks of feeding with the HFD (Initial) | 23.4 ± 0.7 | 23.2 ± 0.5 | NS |
12 weeks of feeding with the HFD (Final) | 47.3 ± 0.6 | 47.8 ± 0.7 | NS |
Serum lipids concentration at 12 weeks of HFD | |||
Serum TG (mg/dL) | 93 ± 5 | 83 ± 3 | NS |
Serum TC (mg/dL) | 140 ± 11 | 141 ± 13 | NS |
Serum glucose (mg/dL) | 210 ± 14 | 212 ± 22 | NS |
Weight of tissues (g/100 g body weight) | |||
Liver | 4.89 ± 0.32 | 5.25 ± 0.35 | NS |
Subcutaneous fat a | 4.49 ± 0.20 | 4.77 ± 0.12 | NS |
Epididymal fat | 3.30 ± 0.38 | 3.14 ± 0.26 | NS |
Mesenteric fat | 2.94 ± 0.16 | 3.40 ± 0.11* | 0.034 |
Retroperitoneal fat | 1.46 ± 0.01 | 1.57 ± 0.05 | NS |
Each value is expressed as the mean ± SEM. WT_B6 (n = 8), KO_B6 (n = 8).
*p<0.05, significant difference when compared to WT_B6 by student’s t-test.
NS, not significant.
a Subcutaneous fat was dissected between the root of the forefoot and the hind leg on the right side of the body.
Iah1 KO mice on A/J-12SM background
We constructed Iah1-KO mice on an A/J-12SM background (KO_A12) by using the CRISPR/Cas9 system to investigate the relationship between Iah1 and fatty liver development. The CRISPR/Cas9 system generated a 53 bp deletion that resulted in frameshift mutations leading to the formation of a premature stop codon (Fig 2A). This mutation induces nonsense-mediated decay of the mRNA transcript. The expression of Iah1 mRNA and IAH1 protein were not detected in A/J-12SM Iah1-KO mice (KO_A12) (Fig 2B and 2C). Regarding the predicted off-target cleavage sites, no mutations were detected by sequencing.
Compared to WT_B6 mice (Table 1, Fig 1), WT_A12 mice showed lower final body weight, liver weight, and liver lipids concentration (Table 2, Fig 3). In contrast, the serum lipids concentrations and the white adipose tissue weights of WT_A12 mice were higher than those of WT_B6 mice (Tables 1 and 2). These results showed that WT_A12 mice were resistant to high-fat diet-induced fatty liver but not abdominal fat accumulation when compared to WT_B6 mice. Initial body weight (6 weeks of age) and final body weight (18 weeks of age) were not altered by Iah1 deficiency on an A/J-12SM background (Table 2). Moreover, the weight of the liver and white adipose tissue of KO_A12 mice did not differ from those found in WT_A12 mice (Table 2). Similarly, serum lipids concentrations and serum glucose concentrations at 12 weeks of feeding (18 weeks of age) did not differ between WT_A12 and KO_A12 mice (Table 2). We expected liver TG levels to increase in KO_A12 mice but our found that they remained unchanged between KO_A12 and WT_A12 mice (Fig 3B). Likewise, there were no significant changes in liver total lipid contents and liver TC between WT_A12 and KO_A12 mice (Fig 3A and 3C). Thus, these data indicate that Iah1 deficiency does not alter body weight, serum lipids and serum glucose concentrations, and liver lipid contents.
Table 2. Body weight, serum parameters, and tissue weight of A/J-12SM Iah1-WT (WT_A12) and KO (KO_A12) mice fed with a high-fat diet (HFD) for 12 weeks.
A/J-12SM | |||
---|---|---|---|
WT_A12 | KO_A12 | P-value | |
Body weight (g) | |||
0 weeks of feeding with the HFD (Initial) | 22.2 ± 0.8 | 23.7 ± 0.7 | NS |
12 weeks of feeding with the HFD (Final) | 42.0 ± 0.7 | 41.0 ± 1.3 | NS |
Serum lipids concentrations at 12 weeks of feeding | |||
Serum TG (mg/dL) | 120 ± 5 | 126 ± 6 | NS |
Serum TC (mg/dL) | 123 ± 9 | 120 ± 8 | NS |
Serum HDL-C (mg/dL) | 136 ± 5 | 127 ± 5 | NS |
Serum PL (mg/dL) | 175 ± 9 | 167 ± 11 | NS |
Serum NEFA (mEq/L) | 0.93 ± 0.03 | 0.95 ± 0.02 | NS |
Serum glucose (mg/dL) | 189 ± 6 | 183 ± 12 | NS |
Weight of tissues (g/100 g body weight) | |||
Liver | 3.10 ± 0.07 | 3.22 ± 0.08 | NS |
Subcutaneous fat a | 4.22 ± 0.08 | 4.33 ± 0.17 | NS |
Epididymal fat | 6.31 ± 0.19 | 6.12 ± 0.28 | NS |
Mesenteric fat | 3.24 ± 0.09 | 2.98 ± 0.15 | NS |
Retroperitoneal fat | 1.61 ± 0.06 | 1.57 ± 0.05 | NS |
Each value is expressed as the mean ± SEM. WT_A12 (n = 16), KO_A12 (n = 11).
NS, not significant by student's t-test.
a Subcutaneous fat was dissected between the root of the forefoot and the hind leg on the right side of the body.
Iah1 deficiency does not affect lipid metabolism-related genes expression in the liver and epididymal fat
We previously analyzed the mRNA levels of lipid metabolism-related genes in Hepa1-6 cells (mouse hepatoma cell line) which overexpressed mouse Iah1. We found that the mRNA expression of diacylglycerol O-acyltransferase 2 (Dgat2) and Cd36 antigen (Cd36) were suppressed in Hepa1-6 cells which overexpressed mouse Iah1 [6]. In this study, in addition to these genes, we also measured the mRNA levels of lipid metabolism-related genes (Srebp1-c, Pparγ, Fasn, and Mtp) in the liver and epididymal fat of KO_A12 mice. Our results showed that the mRNA levels were not significantly different between WT_A12 and KO_A12 mice (Fig 4A and 4B). Therefore, this suggests that Iah1 deficiency does not affect the expression of these lipid metabolism-related genes in the liver and epididymal fat.
DNA microarray analysis of epididymal fat in KO_A12 mice
The kidney is the tissue where the Iah1 gene is most abundantly expressed. The Iah1 gene was also shown to be abundantly expressed in the liver and epididymal fat (Fig 2B and 2C). Our previous report showed that the epididymal fat weight was inversely correlated with liver weight and TG content in A/J-12SM-related mouse strains [7]. The adipose tissue plays an important role in storing the excessive energy as triglyceride. However, adipose tissue insulin resistance causes elevation of serum free fatty acids level by attenuating the suppression of lipolysis, leading to lipid accumulation in ectopic tissues (liver, skeletal muscle, and pancreas) [17]. Macrophage activation in adipose tissue insulin resistance is closely linked to obesity-induced NAFLD [18, 19]. In addition, adipose tissue inflammation causes reduction of lipid storage-capacity in adipose tissue and dysregulation of adipokines production [20]. Therefore, to investigate the effect of Iah1 deficiency on adipose tissue, we performed DNA microarray analysis of epididymal fat in WT_A12 and KO_A12 mice. We identified 126 upregulated genes (> 2.0 fold and signal strength of > 128) in KO_A12 mice when compared with WT_A12 mice (S4 Table). Moreover, 167 downregulated genes (< 0.5 fold and signal strength of > 128) were identified in KO_A12 mice when compared with WT_A12 mice (S5 Table). Of these genes, we selected sixty genes which were known to be associated with glucose or lipid metabolism and were expressed in white adipose tissue. The mRNA levels of upregulated genes (Mup1, AldoB, Ces1c, Pemt, Angpt4, and Prkd1) and downregulated genes (Sfrp4, Il1rn, Cidea, Pdk4, Egr2, Metrnl, Atf3, Fbn1, and Ptafr) in the epididymal fat of KO_A12 mice were measured via real-time qPCR (S4 and S5 Tables). Secreted frizzled-related protein 4 (Sfrp4) mRNA levels in epididymal fat were found to be significantly decreased in KO_A12 mice (Fig 5B). Moreover, Meteorin like, glial cell differentiation regulator (Metrnl) mRNA levels tended to be slightly decreased in KO_A12 mice when compared to WT_A12 mice (p = 0.05) (Fig 5B). The changes in gene expression for the other analyzed genes were not confirmed by real-time qPCR. Therefore, we also measured Sfrp4 and Metrnl mRNA levels in the retroperitoneal adipose tissue, which is a type of visceral white adipose tissue. Although Metrnl mRNA levels tended to be slightly decreased in KO_A12 mice (p = 0.05), there were no significant changes in Sfrp4 mRNA levels in the retroperitoneal adipose tissue (Fig 5C). These results indicated that Iah1 deficiency in visceral white adipose tissue (including epididymal and retroperitoneal fat) decreased Sfrp4 and Metrnl gene expression. Decreased Sfrp4 mRNA levels may to a decrease in the mRNA levels of downstream genes (Pparγ and C/EBPα) and increase β-catenin mRNA levels. However, significant differences in the expression of these genes were not observed (Fig 6).
Discussion
In this study, we focused on Iah1 gene as the most likely candidate gene for Fl1sa, a QTL for fatty liver on chromosome 12 identified in the high-fat diet-induced fatty liver model mouse, SMXA-5 [6]. Therefore, in order to investigate the relationship between Iah1 and fatty liver in vivo, we analyzed the phenotype of Iah1-KO mice established on two different backgrounds (C57BL/6N and A/J-12SM).
KO_B6 mice were systemically deficient in Iah1 mRNA and IAH1 protein, and Iah1 gene deficiency did not lead to embryonic death. Moreover, we did not observe a significantly higher TG accumulation in KO_B6 mice when compared with WT_B6 mice, both of which were fed with a high-fat diet for 12 weeks. A previous study has reported that C57BL/6J mice, which is one of the C57BL/6-derived substrains, are more likely to develop severe obesity and type 2 diabetes than A/J mice fed with a high-fat diet [21]. Therefore, we thought that the effect of Iah1 deficiency on fatty liver development might be masked in the C57BL/6N background. As such, we created Iah1-KO mice on an A/J-12SM background using the CRISPR/Cas9 system. We previously reported that liver TG accumulation in A/J-12SM mice which had the SM/J allele on Fl1sa was suppressed when compared with A/J mice [5]. We expected that Iah1 deficiency on an A/J-12SM background would significantly induce fatty liver development. However, liver TG accumulation in KO_A12 mice did not differ from that in WT_A12 (A/J-12SM) mice (Fig 3). Altogether, the abovementioned data demonstrated that Iah1 is not a gene responsible for Fl1sa.
Reduction of lipid storage-capacity and dysregulation of secretion adipokines in adipose tissue are involved in the development of fatty liver [17, 20]. Therefore, we performed DNA microarray analysis of epididymal fat in Iah1 deficiency on an A/J-12SM background, and the data showed that Iah1 deficiency in vivo might decrease adipokines (Sfrp4 and Metrnl) gene expression in epididymal fat (Fig 5). Sfrp4 is an adipokine and a member of the Sfrp family of proteins, which regulate the activity of the Wingless-type (Wnt) signaling pathway. Sfrp4 inhibits Wnt from binding to the Frizzled receptor and leads to β-catenin degradation. Wnt signaling maintains preadipocytes in an undifferentiated state by suppressing the expression of adipogenic transcription factors (C/EBPα and Pparγ) [22]. Horbelt et al. reported that Sfrp4 mRNA levels were high in the visceral adipose tissue of obese or type 2 diabetes patients and that Sfrp4 promotes de novo lipogenesis in mice hepatocytes [23]. These results suggest that a decrease in adipokine Sfrp4 levels in the epididymal fat of KO_A12 mice activates the Wnt signaling pathway and leads to inhibition of lipid synthesis in the liver. However, in the epididymal fat of KO_A12 mice, the expression of Sfrp4 downstream genes (β-catenin, C/EBPα, and Pparγ) remained unchanged (Fig 6). Metrnl (also known as Subfatin and Cometin) promotes differentiation of adipocytes by increasing the expression of lipid metabolism genes [24]. Metrnl adipocyte-specific KO mice under a high-fat diet showed insulin resistance [24]. Moreover, an increase in circulating levels of Metrnl in mice by intravenous injections of adenoviral vectors stimulates thermogenesis in beige fat and improves glucose tolerance [25]. However, the present study did not confirm the changes of Sfrp4 and Metrnl protein levels in adipose tissue and serum.
As Iah1 is not a gene responsible for Fl1sa, we take into consideration another candidate gene, namely, Lpin1 (encoding the Lipin1 protein) which is located at 16.7 Mb on mouse chromosome 12. Lipin1 was identified as a mutated gene in the fatty liver dystrophy (fld) mouse [26]. The mutated lipin1 gene was shown to impair adipose tissue development, which led to fatty liver development. Phan and Reue reported that modulation of lipin1 expression levels leads to dramatic alterations in adiposity [27]. Therefore, it is necessary to analyze other candidate genes for Fl1sa, including Lipin1, to elucidate the mechanism of fatty liver development in SMXA-5 mice.
Conclusions
In this study, to clarify the relationship between the Iah1 gene (most likely candidate gene for Fl1sa) and fatty liver in vivo, we constructed Iah1-KO mice on two different genetic backgrounds (C57BL/6N and A/J-12SM). Data from both types of Iah1-KO mice (KO_B6 and KO_A12) demonstrated that the absence of the Iah1 gene did not affect lipid accumulation in the liver. We conclude that the Iah1 gene is not a gene responsible for Fl1sa.
Supporting information
Acknowledgments
We thank Kazuyuki Mekada (RIKEN BioResource Center, Tsukuba; Okayama University of Science, Okayama) for his helpful advice to establishing the B6_KO mice.
Data Availability
The microarray data have been deposited in the NCBI Gene Expression Omnibus (GEO) (GSE14750).
Funding Statement
This work was supported by a Grant-in-Aid for Scientific Research (C) (No. 25450166, 18K05532) from the Japan Society for the Promotion of Sciences (https://www.jsps.go.jp/), a grant from the Uehara Memorial Foundation (https://www.ueharazaidan.or.jp/), a grant from the the Japan Health Foundation (http://www.jnhf.or.jp/) (to MK). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The microarray data have been deposited in the NCBI Gene Expression Omnibus (GEO) (GSE14750).