Next Article in Journal
Nutritional Programming of the Lifespan of Male Drosophila by Activating FOXO on Larval Low-Nutrient Diet
Previous Article in Journal
Identification of Metabolism-Related Proteins as Biomarkers of Insulin Resistance and Potential Mechanisms of m6A Modification
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Hepatic G Protein-Coupled Receptor 180 Deficiency Ameliorates High Fat Diet-Induced Lipid Accumulation via the Gi-PKA-SREBP Pathway

1
Department of Physiology and Pathophysiology, School of Basic Medical Sciences, and Key Laboratory of Molecular Cardiovascular Science, Ministry of Education, Peking University, Beijing 100191, China
2
The Key Laboratory of Xinjiang Endemic & Ethnic Diseases and Department of Biochemistry, Shihezi University School of Medicine, Shihezi 832002, China
3
Department of Pharmacology, School of Basic Medical Sciences, and Key Laboratory of Molecular Cardiovascular Science, Ministry of Education, Peking University, Beijing 100191, China
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this work.
Nutrients 2023, 15(8), 1838; https://doi.org/10.3390/nu15081838
Submission received: 10 March 2023 / Revised: 9 April 2023 / Accepted: 10 April 2023 / Published: 11 April 2023
(This article belongs to the Section Nutrigenetics and Nutrigenomics)

Abstract

:
Single-nucleotide polymorphisms in G protein-coupled receptor 180 (GPR180) are associated with hypertriglyceridemia. The aim of this study was to determine whether hepatic GPR180 impacts lipid metabolism. Hepatic GPR180 was knocked down using two approaches: Gpr180-specific short hairpin (sh)RNA carried by adeno-associated virus 9 (AAV9) and alb-Gpr180−/− transgene established by crossbreeding albumin-Cre mice with Gpr180flox/flox animals, in which Gpr180 was specifically knocked down in hepatocytes. Adiposity, hepatic lipid contents, and proteins related to lipid metabolism were analyzed. The effects of GPR180 on triglyceride and cholesterol synthesis were further verified by knocking down or overexpressing Gpr180 in Hepa1-6 cells. Gpr180 mRNA was upregulated in the liver of HFD-induced obese mice. Deficiency of Gpr180 decreased triglyceride and cholesterol contents in the liver and plasma, ameliorated hepatic lipid deposition in HFD-induced obese mice, increased energy metabolism, and reduced adiposity. These alterations were associated with downregulation of transcription factors SREBP1 and SREBP2, and their target acetyl-CoA carboxylase. In Hepa1-6 cells, Gpr180 knockdown decreased intracellular triglyceride and cholesterol contents, whereas its overexpression increased their levels. Overexpression of Gpr180 significantly reduced the PKA-mediated phosphorylation of substrates and consequent CREB activity. Hence, GPR180 might represent a novel drug target for intervention of adiposity and liver steatosis.

Graphical Abstract

1. Introduction

As a center of lipid synthesis, expenditure, and circulation, the liver is critical for lipid homeostasis. Under physiological conditions, the balance between lipid synthesis, β-oxidation, and export is precisely controlled by a series of pathways ranging from hormones and G protein-coupled receptors (GPCRs) to nuclear receptors and transcription factors. Dysfunction of several GPCRs, and associated heterotrimeric G proteins, increases lipid droplet accumulation in hepatocytes, leading to subsequent development of liver steatosis. For example, global GPR55 deficiency increases adiposity, stimulates hepatic lipogenesis, and promotes the development of liver steatosis [1]. Moreover, global deletion of Gα12 promotes fat accumulation in the liver of mice. Similarly, the steatotic liver of patients with nonalcoholic fatty liver disease (NAFLD) have decreased levels of Gα12 expression [2]. However, whether orphan GPCRs contribute to the development of liver steatosis remains largely unknown.
GPR180 is an orphan GPCR that is also known as the intimal-thickness-related receptor (ITR). This receptor was originally found to promote the proliferation of vascular smooth muscle cells, leading to subsequent vascular intimal thickening [3]. As such, it is considered a risk factor for atherosclerosis [4]. In addition to vascular remodeling, GPR180 reportedly plays an important role in tumorigenesis [5,6,7,8,9,10] and pupil development [11]. Recent genome-wide association studies (GWASs) also indicate that single nucleotide polymorphisms (SNPs) in GPR180 are related to hypertriglyceridemia [12,13]. Expression quantitative trait locus (eQTL) analysis of 1183 liver samples has further revealed that GPR180 alleles rs2298058 and rs9561643 are associated with a significant increase in Gpr180 expression and could be relevant to elevated triglyceride levels [14]. Collectively, these observations suggest that hepatic GPR180 may alter lipid metabolism.
This study aimed to investigate whether hepatic GPR180 contributes to the control of lipid metabolism and its underlying mechanism. Our results demonstrate that deficiency of GPR180 in the mouse liver significantly decreases adiposity and liver steatosis induced by a high-fat diet. Furthermore, knockdown of Gpr180 in Hepa1-6 cells inhibits lipid synthesis. The effect of hepatic GPR180 on lipid metabolism is likely mediated by sterol regulatory element-binding proteins (SREBPs), including SREBP1 and SREBP2, in a PKA-dependent manner. The findings of this study suggest that GPR180 could be a potential novel drug target for the treatment of adiposity and liver steatosis.

2. Methods

2.1. Viruses and Small Hairpin (sh)RNAs

Adeno-associated viruses of serotype 9 (AAV9) carrying GPR180-specific shRNA (AAV9-shRNA GPR180) or control-scrambled shRNA (AAV9-shRNA scramble) were packaged by Weizhen Biotechnology Co., Ltd. (Jinan, China). To improve the knockdown efficiency, the following four GPR180-specific shRNA sequences: (1) 5′-CTCCCAAATTCAAGATGCTGTA-3′, (2) 5′-TGCTTCAGCCTTAGCTAATTA-3′, (3) 5′-GCTTCAGCCTTAGCTAATTAC-3′, and (4) 5′-GCTCTTGCTGATTGTCTTACG-3′, were simultaneously inserted into the pAV4-in-1-GFP vector.

2.2. Laboratory Animals

All experimental procedures were performed in accordance with the regulations on laboratory animal management of the Ministry of Health of the People’s Republic of China (Document No. 55, 2001). Male C57BL/6J mice (6 weeks old) were purchased from the Laboratory Animal Department of the Peking University Health Science Center. Mice were maintained under standard conditions with a 12 h light–dark cycle (light 06:00–18:00, darkness 18:00–06:00) and temperature of 21–25 °C. After one week of acclimatization, mice were randomly divided into four groups: fed normal control diet (NCD; Beijing Keao Xieli Feed Co., Ltd., Beijing, China) and injected with AAV9-shRNA GPR180 or AAV9-shRNA scramble at a dose of 5 × 1011 vg/mouse via the tail vein, or fed high-fat diet (HFD; Research Diet, D12492, 60% kcal from fat, 5.24 kcal/g) and injected with AAV9-shRNA GPR180 or AAV9-shRNA scramble. Body weight and food intake were measured weekly. Before performing the oral glucose tolerance test (OGTT) and insulin tolerance test (ITT), mice were fasted for the time indicated; however, they were allowed free access to water. Mice were sacrificed after 12.5 weeks as described previously [15].
The transgenic mice Albumin-cre and Gpr180flox/flox were purchased from Shanghai Model Organisms Center (Shanghai, China). Albumin-Gpr180−/− (Gpr180−/−) mice and Gpr180flox/fox littermates were generated via homozygous crossing. The husbandry conditions of transgenic mice were consistent with those of mice treated with adeno-associated virus. Six-week-old male transgenic mice were then assigned to receive HFD for 16 weeks.
The liver tissues of diabetic mice (db/db) and nondiabetic mice (db/m) were prepared as described previously [16].

2.3. Measurement of Energy Metabolism and Fat Contents

Mice were subjected to energy metabolism analysis using a metabolic cage (Harvard Apparatus, Holliston, MA, USA) and body fat content analysis with a magnetic resonance imaging (MRI) system 3.0T (Siemens, Munich, Germany) at the Peking University Health Science Center.

2.4. Analysis of Triglyceride and Cholesterol Contents

Triglyceride and cholesterol contents in plasma, tissues, and cells were determined using a triglyceride assay (#A110-2-1) and total cholesterol assay (#A111-2-1) kits (Nanjing Jiancheng Bioengineering Institute, Nanjing, China), according to the manufacturer’s instructions.

2.5. Oil Red O Staining

Mice were sacrificed by intraperitoneal injection of 1% pentobarbital sodium (100 mg/kg), followed by bilateral thoracotomy. The liver was washed with phosphate-buffered solution, then fixed with 4% paraformaldehyde, embedded with OCT compound, and sectioned at 5 μm. The frozen sections were warmed at room temperature for 20 min, washed with double-distilled (dd) H2O for 1 min, rinsed with 60% isopropanol for 20 s, and stained with oil red O working solution in the dark for 60 min. Sections were washed with ddH2O for 3 min, mounted with 90% glycerol, and stored at 4 °C until microscopy analysis.

2.6. RT-PCR

Total RNA was extracted from mouse tissues or cells using an RNA extraction kit (Applygen, Beijing, China) and reverse-transcribed into cDNA using a reverse transcription kit (Yeasen, Shanghai, China). The expression levels of specific genes were analyzed by quantitative RT-PCR using a quantitative fluorescence kit (Vazyme, Nanjing, China) and primers specific for Actb (forward 5′-CAGCCTTCCTTCTTGGGTAT-3′ and reverse 5′-TGGCATAGAGGTCTTTACGG-3′) and Gpr180 (forward 5′-TGTCAGAATCAACAACGTAGCAG-3′ and reverse 5′-TTGTCGGCATAGAACACTCGC-3′).

2.7. Western Blotting

Western blotting was performed as previously described [17]. Primary antibodies against Laminb1(#12987-1-AP) and β-actin (#66009-1-Ig) were obtained from Proteintech (Wuhan, China), while those against SREBP1 (#A15586), SREBP2 (#A13049), HMGCS1 (#A3916), ACC (#A15606), and FASN (#A0461) were purchased from Abclonal (Wuhan, China). Phospho-PKA substrates (RRXS/T; #9624) was purchased from Cell Signaling Technology (Danvers, MA, USA). Secondary fluorescent IRDye 800CW antibodies were obtained from Bioss Corporation (Beijing, China). ImageJ software (v. 1.8.0_112, NIH, Bethesda, MD, USA) was used to quantify protein expression.

2.8. Cell Cultures and Treatment

Hepa1-6 murine hepatoma cells (ATCC#CRL-1830) were cultured in high-glucose Dulbecco’s Modified Eagle’s Medium (Invitrogen, Carlsbad, CA, USA) supplemented with 10% fetal bovine serum (Hyclone, Logan, UT, USA), streptomycin sulfate (100 mg/mL), and penicillin (100 units/mL) at 37 °C and 5% CO2. To investigate the function of GPR180 in lipid metabolism, cells were transfected with pcDNA-GFP, pcDNA-Gpr180 (Ruibo Technology Co., Ltd., Beijing, China), Gpr180 small interfering siRNA (GCTCAGCCTTAGCTAATTAC; Suzhou Hongxun Biotechnology Co., Ltd., Suzhou, China), or control siRNA, respectively, and treated with a mixture of oleic acid (100μM) and palmitic acid (50 μM). Cells were harvested after 24 h and analyzed for mRNA and protein expression, as well as lipid contents.
For the protein kinase A (PKA) activity assay, Hepa1-6 cells were transfected with the Gpr180 overexpression plasmid for 30 h, cultured in serum-free medium for 12 h, and then in 10% serum-containing medium for the time indicated. Cells were then analyzed for measurement of activity at different time points by PKA substrate antibody immunoblotting.

2.9. Dual-Luciferase Reporter Assay

The resuspended HEK-293T cells (ATCC#CRL-3216) were seeded into a 24-well plate (2 × 105 cells/well), subsequently transfected with 300 ng pGL3-CREB (CREB promoter-luciferase reporter), 30 ng pRL-CMV, and 170 ng pcDNA-Gpr180 or pcDNA3.1 plasmids (provided by Ruibo Technology) with lipo8000 (Beyotime, Shanghai, China). Luciferase assays were performed after a 24 h transfection using the Dual Luciferase Reporter Assay System (E1910, Promega (Madison, WI, USA)). The CREB-driven promoter luciferase activity was determined by normalizing the activity of firefly luciferase against Renilla luciferase.

2.10. Statistical Analysis

The experimental results were expressed as mean ± standard error of the mean (SEM). Graphs were constructed, and statistical analyses performed using the GraphPad Prism5 software (La Jolla, CA, USA). Differences between the groups were analyzed by one-way ANOVA and Student’s t-test. p < 0.05 denotes for statistical significance.

3. Results

3.1. Gpr180 Is Upregulated in the Livers of Obese Mice

Large-scale meta-analysis of GWAS identified the Gpr180 loci associated with plasma triglyceride levels in population (Table 1). To determine whether GPR180 participates in lipid metabolism, we first analyzed its mRNA expression in multiple mouse tissues. Gpr180 was abundant in the kidney, liver, hypothalamus, pancreas, lungs, and ovaries (Figure 1A). In liver, it was expressed in primary hepatocytes and macrophages (Raw264.7 and Kupffer cells). Relative to primary hepatocytes, human and mouse hepatocyte cell lines, as well as stellate cell line Lx2, expressed significantly lower levels of Gpr180 (Figure 1B).
Next, we evaluated Gpr180 transcription in the livers of obese and normal mice. Levels of Gpr180 mRNA were significantly upregulated in the livers of HFD-induced obese mice relative to lean mice fed NCD (Figure 1C). Further, its expression was markedly increased in the liver of db/db diabetic mice compared with control (db/m) animals (Figure 1D). These results indicate that the Gpr180 gene is expressed in the liver, particularly within hepatocytes, and its level is upregulated in obese mice.

3.2. Hepatic Gpr180 Deficiency Alleviates HFD-Induced Obesity

To knockdown hepatic Gpr180, mice fed NCD or HFD were administered AAV9-shRNA Gpr180 via tail vein injection. AAV9-shRNA scramble was used as the control. Body weight and food intake were monitored weekly for a period of 12.5 weeks (Figure 2A). Hepatic Gpr180 deficiency caused a significant reduction in the body sizes and weights in mice fed HFD (Figure 2B,C), whereas no effect was observed on food intake (Figure 2D). These effects were not detected in mice fed NCD (Figure 2B–D). Meanwhile, glucose metabolism in mice fed NCD or HFD was evaluated using oral glucose tolerance test (OGTT) and insulin tolerance test (ITT). Hepatic Gpr180 deficiency enhanced insulin sensitivity in mice fed HFD (Supplementary Figure S1).
To generate transgenic mice with hepatocyte-specific knockout of Gpr180, the loxp site was inserted at both ends of exon 6 of the Gpr180 gene (Figure 2E). Gpr180flox/flox mice were crossbred with Albumin-cre transgene to obtain Albumin-Gpr180−/− (Gpr180−/−) mice (Figure 2F). After 16 weeks of HFD feeding, the body weights of Gpr180−/− mice were significantly lower than those of Gpr180flox/flox animals (Figure 2G). These results suggest that hepatic Gpr180 deficiency alleviates HFD-induced obesity.

3.3. Hepatic Gpr180 Knockdown Enhances Energy Expenditure

Real-time analysis of energy expenditure indicated that hepatic Gpr180 deficiency significantly increased oxygen consumption, carbon dioxide production, and energy expenditure, while decreasing respiratory quotients in mice fed either NCD (Figure 3A) or HFD (Figure 3B). No obvious changes in animal activity were observed (Figure 3A,B). These results indicate that hepatic Gpr180 deficiency enhances energy expenditure in mice fed either NCD or HFD.

3.4. Hepatic Gpr180 Deficiency Reduces Body Fat Mass

The fat area measured by the MRI in Gpr180-deficient mice fed NCD was reduced by 70.1 ± 21.4% compared with the scramble control (Figure 4A), indicating a marked reduction of fat mass in lean mice. Meanwhile, HFD-induced obese mice exhibited abundant fat distribution, as evidenced by larger and brighter white areas in the MRI scans. In mice fed HFD, knockdown of hepatic Gpr180 by shRNA reduced the fat mass by 39.5 ± 15.9% relevant to the scramble control (Figure 4B). A similar reduction in fat mass was observed in Gpr180−/− mice fed HFD (Figure 4C). Furthermore, the sizes and weights of subcutaneous and epididymal white adipose tissues (sWAT and eWAT, respectively) were notably reduced in Gpr180-deficient mice fed HFD compared with control mice (Figure 4D,E,G,J). As demonstrated by hematoxylin–eosin (HE) staining, the size of adipocytes within subcutaneous and visceral fat tissues was significantly reduced in AAV9-shRNA Gpr180-treated mice and Gpr180−/− mice fed HFD compared with the control group (Figure 4H,K). These effects were not detected in lean mice fed NCD (Figure 4G,J,H,K).
Expression levels of Gpr180 mRNA in the adipose tissues of mice fed either NCD or HFD remained unaltered (Figure 4F,I). This observation suggests that reduction of adipose tissue mass occurs indirectly via hepatic Gpr180 deficiency rather than its direct action in adipose tissues. Our results thus suggest that knockdown of hepatic Gpr180 reduces the subcutaneous and visceral fat mass in obese mice.

3.5. Hepatic Gpr180 Deficiency Reduces Plasma and Liver Lipid Contents in HFD-Induced Obese Mice

To assess the effect of hepatic Gpr180 knockdown on lipid homeostasis, we measured triglyceride and cholesterol concentrations in the plasma and liver tissues. Knockdown of Gpr180 in the liver did not significantly affect plasma triglyceride contents in mice fed either NCD or HFD (Figure 5A). However, deficiency of hepatic Gpr180 significantly reduced circulating and hepatic cholesterol contents in mice fed HFD, while demonstrating no effect in mice fed NCD (Figure 5B,D). Hepatic triglyceride levels were also reduced following knockdown of hepatic Gpr180 in mice fed HFD (Figure 5C). These results indicate that hepatic Gpr180 deficiency reduces cholesterol levels in the circulation and liver of HFD-induced obese mice, as well as the liver triglyceride contents.
Morphologically, dense opalescent lipid droplets appeared on the liver surface of obese mice fed HFD. This effect was not observed in animals treated with AAV9-shRNA Gpr180 or in Gpr180−/− mice (Figure 6A), indicating an amelioration of liver steatosis. To determine whether changes in the metabolic phenotype were mediated by hepatic Gpr180 deficiency, we examined the efficiency of Gpr180 knockdown in the mouse liver by RT-PCR. Gpr180-specific shRNA markedly decreased the expression of hepatic Gpr180 mRNA by 46.3 ± 4.8% and 38.9 ± 4.5% in mice fed NCD or HFD, respectively (Figure 6B). Compared with the Gpr180flox/flox group, Gpr180 mRNA levels in the livers of Gpr180−/− mice fed HFD decreased by 68.2 ± 5.4%. No significant change in Gpr180 mRNA levels was detected in other tissues.
In Gpr180−/− mice fed HFD, liver weight was significantly reduced. However, this effect was not significant among AAV9-Gpr180 shRNA-treated mice, whether fed NCD or HFD (Figure 6C). Oil red O staining further revealed abundant large lipid droplets in the livers of mice fed HFD but not those fed NCD. Moreover, the amount of lipid droplets in the livers of HFD mice was significantly reduced after treatment with Gpr180 shRNA (Figure 6D). Hepatocyte-specific deficiency of Gpr180 also substantially reduced lipid contents in the livers (Figure 6D). H&E staining did not reveal vacuolization caused by lipid droplets in the livers of NCD mice. In contrast, HFD mice demonstrated considerable vacuolization in hepatic tissue, as evidenced by a large number of vacuoles and extended vacuole surface area. This HFD-induced vacuolization was markedly reduced by hepatic Gpr180 deficiency (Figure 6D).
The direct action of GPR180 in lipid metabolism was further examined using the mouse hepatocyte cell line, Hepa1-6. Transfection with Gpr180-pcDNA or Gpr180-specific siRNA led to efficient upregulation or downregulation of Gpr180 mRNA (Figure 6E). The altered levels of Gpr180 mRNA induced subsequent increases or decreases in intracellular triglyceride and cholesterol levels, respectively (Figure 6E).
To determine whether hepatic steatosis in mice progressed to steatohepatitis, we performed immunohistochemical staining of F4/80, the molecular marker for macrophages. F4/80-positive cells were not detected in the hepatic tissues of HFD mice, with or without Gpr180 deficiency, indicating an absence of obvious inflammation (Supplementary Figure S2). Moreover, Sirius red and Masson’s trichrome staining did not reveal obvious collagen deposition in the livers of these animals (Supplementary Figure S3), suggesting the absence of liver fibrosis.

3.6. GPR180 Promotes Lipid Biosynthesis in Hepatocytes

To determine whether the improvement in hepatic lipid deposition was mediated by the SREBP signaling pathway, we analyzed the cytoplasmic and nuclear abundance of related proteins in the livers of mice fed HFD. Knockdown of hepatic Gpr180 caused a marked decrease in the abundance of SREBP proteins, including precursor and mature SREBP1 (pSREBP1, mSREBP1), pSREBP2, and mSREBP2 (Figure 7A). This effect was associated with a subsequent reduction in its target gene acetyl-CoA carboxylase (Acc), a key enzyme in fatty acid biosynthesis (Figure 7A).
In vitro, Hepa1-6 cells overexpressing Gpr180 significantly increased cytoplasmic and nuclear SREBP1 and SREBP2 (pSREBP1, mSREBP1, pSREBP2, and mSREBP2). Furthermore, ACC, fatty acid synthase (FASN), and 3-hydroxy-3-methylglutaryl-CoA synthase (HMGCS1)—enzymes involved in lipid biosynthesis—were also upregulated to a certain extent (Figure 7B). These results suggest that Gpr180 promotes the production of triglycerides and cholesterol by activating the SREBP pathway in hepatocytes.
Previously, it was reported that overexpression of GPR180 in HEK293T cells caused a decrease in cAMP abundance following treatment with 1 mM/L and 10 mM/L of L-lactic acid, suggesting that GPR180 may be a Gi-type GPCR [18]. Therefore, we next examined the effect of Gpr180 overexpression on PKA activity by measuring the phosphorylation levels of PKA substrates under the presence of serum. In the presence of serum stimulation, overexpression significantly reduced the phosphorylation levels of PKA substrates at the 6 h time point (Figure 7C). Further, overexpression of Gpr180 significantly inhibited CREB-driven promoter luciferase activity (Figure 7D). These data indicate that GPR180 may be a Gi-coupled receptor.

4. Discussion

The results of this study demonstrate that hepatic GPR180 contributes to the control of lipid metabolism. Using two approaches to suppress Gpr180: AAV9-shRNA Gpr180 and albumin-Gpr180−/−, we showed that hepatic Gpr180 deficiency renders mice resistant to HFD-induced liver steatosis, which is associated with metabolic benefits including enhanced insulin sensitivity and energy metabolism, as well as reduced adiposity. Our findings thus extend the physiological functions of orphan receptor GPR180 from vascular homeostasis to the control of lipid metabolism. By stimulating lipid biosynthesis in the liver, GPR180 contributes to the control of global lipid homeostasis. Consistently, recent GWAS studies have indicated that SNPs in GPR180 may be associated with dyslipidemia. For instance, a meta-analysis of 69,414 East Asian individuals in 24 GWASs has revealed that GPR180 rs12341267 is associated with blood triglyceride level [19]. Another study found that GPR180 rs2298058 and rs9561643 could be related to the transcriptional activation of GPR180 and elevation of serum triglyceride levels [14]. In addition, the study by Balazova et al. revealed that GPR180 in adipocytes can promote the development of beige fat cells, leading to incremental heat production and improved energy metabolism [20]. Collectively, these observations suggest that GPR180 is critical for lipid homeostasis, although its physiological function varies in distinct tissues. Notably, the reduction in adiposity and the observed metabolic advantages appear to be closely linked to the improved hepatic lipid metabolism resulting from Gpr180 deficiency in the liver. Moreover, the reduction in adiposity associated with hepatic GPR180 deficiency in our study further supports a metabolic benefit via improved hepatic lipid metabolism. While our findings highlight the critical role of hepatic metabolism in driving these beneficial changes, the mechanism by which hepatic GPR180 deficiency reduces fat mass remains unknown. In addition to metabolic regulation through triglycerides and fatty acids, the liver also controls the body’s metabolism through endocrine signaling. For example, Fibroblast Growth Factor 21 (FGF21) is a peptide hormone synthesized by various organs, including the liver, with the ability to regulate energy homeostasis [21]. Angiopoietin-like protein 4 (ANGPTL4) is a secreted protein synthesized in the liver that can inhibit lipoprotein lipase and activate cAMP-stimulated lipolysis in adipocytes [22]. Future investigation should focus on the identification of the key secretory hepatokines altered by GPR180, which will provide insights into how hepatic GPR180 regulates the organism metabolism and energy balance.
Although the intracellular signaling pathways activated by GPR180 remain unclear, our study indicates that GPR180 may activate the SREBP1 and SREBP2 in hepatocytes. Both in vitro and in vivo experiments demonstrated that GPR180 deficiency in hepatocytes significantly decreased the nuclear levels of SREBP1 and SREBP2, leading to substantial reduction in their downstream targets ACC. The second messenger that mediates the effect of GPR180 activation on SREBPS is currently unknown. Our observations showed that overexpression of Gpr180 significantly reduced PKA-mediated protein phosphorylation in hepatocytes. In addition, overexpression of Gpr180 suppressed the CREB activity, the downstream target of PKA. Together with previous observations demonstrating that PKA-mediated activity inhibits the expression of SREBPs [17,23,24,25], we thus propose that GPR180 may activate SREBPs via Gi-PKA signaling to regulate the lipid biogenesis in hepatocytes. A group of GPCRs acts as receptors for gut peptides, bile acids, chemokines, free fatty acids, and intermediate metabolites, regulating hepatic lipid metabolism and development of NAFLD. For example, Free Fatty Acid Receptor 2 (FFAR2), one of the main receptors for short-chain fatty acids, is coupled with the Gi protein [26]. Activation of FFAR2 can inhibit the cAMP-PKA signaling pathway and its downstream signaling cascades. These findings support the concept that various metabolites and relevant GPCRs function to alter Gi-PKA-SREBP signaling pathways, leading to alteration in lipid metabolism and the progression of NAFLD.
Limitations exist for our study. Mice were fed with HFD to induce NAFLD. Liver steatosis was detected in these animals. However, inflammation and fibrosis were not obvious. In future experiments, we will consider extending the duration of HFD feeding and using other models, such as methionine-choline-deficient (MCD) and HFD-high-cholesterol (HC) diet, to further investigate the effect of GPR180 in inflammation and fibrosis in NAFLD.
In conclusion, our study demonstrates that Gpr180 knockdown in the mouse liver can significantly inhibit HFD-induced obesity and liver steatosis. Mechanistically, GPR180 stimulates biosynthesis of triglyceride and cholesterol in a manner dependent on Gi-PKA-SREBPs signaling (Figure 7E). Thus, GPR180 represents a potential drug target for the treatment of lipid disorders such as obesity and NAFLD.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/nu15081838/s1.

Author Contributions

Conceptualization, Y.Z. and Z.Z.; formal analysis, Y.Z. and Z.Z.; funding acquisition, Y.Y. and W.Z. (Weizhen Zhang); investigation, Y.B. and W.Z. (Wenbo Zhai); methodology, Y.Z., Z.Z. and Y.L.; project administration, Y.Y. and W.Z. (Weizhen Zhang); software, L.S., W.Y. and H.C.; supervision, Y.Y. and W.Z. (Weizhen Zhang); validation, Y.Z. and Z.Z.; writing—original draft, Y.Z. and Z.Z.; writing—review and editing, Y.Y. and W.Z. (Weizhen Zhang). All authors have read and agreed to the published version of the manuscript.

Funding

This study was supported by the National Natural Science Foundation of China (81930015, 81730020, 82070592, 82270610), and the Young Elite Scientist Sponsorship Program by CAST No. YESS20200034 (to Y.Y.).

Institutional Review Board Statement

The animal study protocol was approved by the Institutional Review Board of Peking University (protocol code IRB00001052-16029 and 2016-11-09).

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available on request from the corresponding author. The data are not publicly available due to privacy restrictions.

Acknowledgments

We thank Ziru Li and Liping Zhang for technical assistance.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Lipina, C.; Walsh, S.K.; Mitchell, S.E.; Speakman, J.R.; Wainwright, C.L.; Hundal, H.S. GPR55 deficiency is associated with increased adiposity and impaired insulin signaling in peripheral metabolic tissues. FASEB J. 2019, 33, 1299–1312. [Google Scholar] [CrossRef] [Green Version]
  2. Kim, T.H.; Yang, Y.M.; Han, C.Y.; Koo, J.H.; Oh, H.; Kim, S.S. Gα 12 ablation exacerbates liver steatosis and obesity by suppressing USP22/SIRT1-regulated mitochondrial respiration. J. Clin. Investig. 2018, 128, 5587–5602. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Tsukada, S.; Iwai, M.; Nishiu, J.; Itoh, M.; Tomoike, H.; Horiuchi, M.; Nakamura, Y.; Tanaka, T. Inhibition of Experimental Intimal Thickening in Mice Lacking a Novel G-Protein–Coupled Receptor. Circulation 2003, 107, 313–319. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Kang, D.H.; Choi, M.; Chang, S.; Lee, M.Y.; Lee, D.J.; Choi, K.; Park, J.; Han, E.C.; Hwang, D.; Kwon, K.; et al. Vascular Proteomics Reveal Novel Proteins Involved in SMC Phenotypic Change: OLR1 as a SMC Receptor Regulating Proliferation and Inflammatory Response. PLoS ONE 2015, 10, e0133845. [Google Scholar] [CrossRef]
  5. Lappano, R.; Maggiolini, M. G protein-coupled receptors: Novel targets for drug discovery in cancer. Nat. Rev. Drug Discov. 2011, 10, 47–60. [Google Scholar] [CrossRef] [PubMed]
  6. Tian, S.; Roepman, P.; Veer, L.J.V.; Bernards, R.; De Snoo, F.; Glas, A.M. Biological Functions of the Genes in the Mammaprint Breast Cancer Profile Reflect the Hallmarks of Cancer. Biomark. Insights 2010, 5, 129–138. [Google Scholar] [CrossRef] [Green Version]
  7. Marchionni, L.; Afsari, B.; Geman, D.; Leek, J.T. A simple and reproducible breast cancer prognostic test. BMC Genomics 2013, 14, 336. [Google Scholar] [CrossRef] [Green Version]
  8. Camps, J.; Pitt, J.J.; Emons, G.; Hummon, A.B.; Case, C.M.; Grade, M.; Jones, T.L.; Nguyen, Q.T.; Ghadimi, B.M.; Beissbarth, T.; et al. Genetic Amplification of the NOTCH Modulator LNX2 Upregulates the WNT/β-Catenin Pathway in Colorectal Cancer. Cancer Res. 2013, 73, 2003–2013. [Google Scholar] [CrossRef] [Green Version]
  9. Huang, Z.; Lin, B.; Pan, H.; Du, J.; He, R.; Zhang, S.; Ouyang, P. Gene expression profile analysis of ENO1 knockdown in gastric cancer cell line MGC-803. Oncol. Lett. 2019, 17, 3881–3889. [Google Scholar] [CrossRef] [Green Version]
  10. Honda, S.; Minato, M.; Suzuki, H.; Fujiyoshi, M.; Miyagi, H.; Haruta, M.; Kaneko, Y.; Hatanaka, K.C.; Hiyama, E.; Kamijo, T.; et al. Clinical prognostic value of DNA methylation in hepatoblastoma: Four novel tumor suppressor candidates. Cancer Sci. 2016, 107, 812–819. [Google Scholar] [CrossRef] [Green Version]
  11. Fares-Taie, L.; Gerber, S.; Tawara, A.; Ramirez-Miranda, A.; Douet, J.Y.; Verdin, H. Submicroscopic deletions at 13q32. 1 cause congenital microcoria. Am. J. Hum. Genet. 2015, 96, 631–639. [Google Scholar] [CrossRef] [Green Version]
  12. Klarin, D.; Damrauer, S.M.; Cho, K.; Sun, Y.V.; Teslovich, T.M.; Honerlaw, J. Genetics of blood lipids among~300,000 multi-ethnic participants of the Million Veteran Program. Nat. Genet. 2018, 50, 1514–1523. [Google Scholar] [CrossRef] [PubMed]
  13. Liu, D.J.; Peloso, G.M.; Yu, H.; Butterworth, A.S.; Wang, X.; Mahajan, A.; Saleheen, D.; Emdin, C.; Alam, D.; Alves, A.C.; et al. Exome-wide association study of plasma lipids in >300,000 individuals. Nat. Genet. 2017, 49, 1758–1766. [Google Scholar] [CrossRef] [Green Version]
  14. Etheridge, A.S.; Gallins, P.J.; Jima, D.; Broadaway, K.A.; Ratain, M.J.; Schuetz, E.; Schadt, E.; Schroder, A.; Molony, C.; Zhou, Y.-H.; et al. A New Liver Expression Quantitative Trait Locus Map from 1183 Individuals Provides Evidence for Novel Expression Quantitative Trait Loci of Drug Response, Metabolic, and Sex-Biased Phenotypes. Clin. Pharmacol. Ther. 2020, 107, 1383–1393. [Google Scholar] [CrossRef] [PubMed]
  15. Yin, Y.; Wang, Q.; Qi, M.; Zhang, C.; Li, Z.; Zhang, W. Ghrelin ameliorates nonalcoholic steatohepatitis induced by chronic low-grade inflammation via blockade of Kupffer cell M1 polarization. J. Cell Physiol. 2021, 236, 5121–5133. [Google Scholar] [CrossRef] [PubMed]
  16. Li, Z.; Xu, G.; Qin, Y.; Zhang, C.; Tang, H.; Yin, Y. Ghrelin promotes hepatic lipogenesis by activation of mTOR-PPARγ signaling pathway. Proc. Natl. Acad. Sci. USA 2014, 111, 13163–13168. [Google Scholar] [CrossRef] [Green Version]
  17. Tang, X.; Ma, H.; Shen, Z.; Zou, S.; Xu, X.; Lin, C. Dehydroepiandrosterone activates cyclic adenosine 3’,5’-monophosphate/protein kinase A signalling and suppresses sterol regulatory element-binding protein-1 expression in cultured primary chicken hepatocytes. Br. J. Nutr. 2009, 102, 680–686. [Google Scholar] [CrossRef]
  18. Mosienko, V.; Rasooli-Nejad, S.; Kishi, K.; De Both, M.; Jane, D.; Huentelman, M.J.; Kasparov, S.; Teschemacher, A.G. Putative Receptors Underpinning l-Lactate Signalling in Locus Coeruleus. Neuroglia 2018, 1, 365–380. [Google Scholar] [CrossRef] [Green Version]
  19. Spracklen, C.N.; Chen, P.; Kim, Y.J.; Wang, X.; Cai, H.; Li, S.; Long, J.; Wu, Y.; Wang, Y.X.; Takeuchi, F.; et al. Association analyses of East Asian individuals and trans-ancestry analyses with European individuals reveal new loci associated with cholesterol and triglyceride levels. Hum. Mol. Genet. 2017, 26, 1770–1784. [Google Scholar] [CrossRef] [Green Version]
  20. Balazova, L.; Balaz, M.; Horvath, C.; Horváth, Á.; Moser, C.; Kovanicova, Z.; Ghosh, A.; Ghoshdastider, U.; Efthymiou, V.; Kiehlmann, E.; et al. GPR180 is a component of TGFβ signalling that promotes thermogenic adipocyte function and mediates the metabolic effects of the adipocyte-secreted factor CTHRC1. Nat. Commun. 2021, 12, 7144. [Google Scholar] [CrossRef]
  21. Tian, H.; Lam, K.S.; Lin, S.; Hoo, R.C.; Konishi, M. Adiponectin mediates the metabolic effects of FGF21 on glucose homeostasis and insulin sensitivity in mice. Cell Metab. 2013, 17, 779–789. [Google Scholar]
  22. Singh, A.K.; Chaube, B.; Zhang, X.; Sun, J.; Citrin, K.M.; Canfrán-Duque, A. Hepatocyte-specific suppression of ANGPTL4 improves obesity-associated diabetes and mitigates atherosclerosis in mice. J. Clin. Investig. 2021, 131, e140989. [Google Scholar] [CrossRef] [PubMed]
  23. Lu, J.; Fang, B.; Zheng, Y.; Yu, X.; Huang, G.; Wang, Z.; Deng, X.; Guan, S. 1,3-dichloro-2-propanol induced lipid accumulation in HepG2 cells through cAMP/protein kinase A and AMP-activated protein kinase pathways via Gi/o-coupled receptors. Environ. Toxicol. Pharmacol. 2017, 55, 118–126. [Google Scholar] [CrossRef] [PubMed]
  24. Wu, H.M.; Yang, Y.M.; Kim, S.G. Rimonabant, a cannabinoid receptor type 1 inverse agonist, inhibits hepatocyte lipogenesis by activating liver kinase B1 and AMP-activated protein kinase axis downstream of Gα i/o inhibition. Mol. Pharmacol. 2011, 80, 859–869. [Google Scholar] [CrossRef] [Green Version]
  25. Lu, M.; Shyy, J.Y. Sterol regulatory element-binding protein 1 is negatively modulated by PKA phosphorylation. Am. J. Physiol. Physiol. 2006, 290, C1477–C1486. [Google Scholar] [CrossRef]
  26. Tolhurst, G.; Heffron, H.; Lam, Y.S.; Parker, H.E.; Habib, A.M.; Diakogiannaki, E. Short-chain fatty acids stimulate glucagon-like peptide-1 secretion via the G-protein-coupled receptor FFAR2. Diabetes 2012, 61, 364–371. [Google Scholar] [CrossRef] [Green Version]
Figure 1. GPR180 expression profile in mouse tissues and liver cells. (A) GPR180 expression in different mouse tissues and (B) cell lines; presented as fold-change compared with that in the spleen or HepG2 cells, respectively. (C) GPR180 expression in the livers of mice fed NCD or HFD, as well as (D) diabetic (db/db) and nondiabetic (db/m) mice. Results are presented as the mean ± SEM and analyzed by one-way ANOVA and unpaired Student’s t-test; n = 5–10, * p < 0.05.
Figure 1. GPR180 expression profile in mouse tissues and liver cells. (A) GPR180 expression in different mouse tissues and (B) cell lines; presented as fold-change compared with that in the spleen or HepG2 cells, respectively. (C) GPR180 expression in the livers of mice fed NCD or HFD, as well as (D) diabetic (db/db) and nondiabetic (db/m) mice. Results are presented as the mean ± SEM and analyzed by one-way ANOVA and unpaired Student’s t-test; n = 5–10, * p < 0.05.
Nutrients 15 01838 g001
Figure 2. Effects of hepatic Gpr180 knockdown on body weight and food intake in mice fed NCD or HFD. (A) Experimental design of in vivo experiments. (B) Body size in mice fed NCD or HFD (n = 8–10) treated with AAV9-shGpr180 or control scramble shRNA. (C) Body weight (D) and food intake. (E,F) Strategy to generate GPR180−/− transgenic mice. (G) Body weight in GPR180flox/flox and GPR180−/− mice fed HFD (n = 4–7). Results are shown as mean ± SEM and analyzed by one-way ANOVA and Student’s unpaired t-test; * p < 0.05.
Figure 2. Effects of hepatic Gpr180 knockdown on body weight and food intake in mice fed NCD or HFD. (A) Experimental design of in vivo experiments. (B) Body size in mice fed NCD or HFD (n = 8–10) treated with AAV9-shGpr180 or control scramble shRNA. (C) Body weight (D) and food intake. (E,F) Strategy to generate GPR180−/− transgenic mice. (G) Body weight in GPR180flox/flox and GPR180−/− mice fed HFD (n = 4–7). Results are shown as mean ± SEM and analyzed by one-way ANOVA and Student’s unpaired t-test; * p < 0.05.
Nutrients 15 01838 g002
Figure 3. Effects of hepatic Gpr180 knockdown on energy metabolism in mice fed NCD or HFD. Energy metabolism in hepatic Gpr180 knockdown mice fed (A) NCD or (B) HFD mice. Results are shown as the mean ± SEM and analyzed by one-way ANOVA and Student’s unpaired t-test; n = 5 per group, * p < 0.05.
Figure 3. Effects of hepatic Gpr180 knockdown on energy metabolism in mice fed NCD or HFD. Energy metabolism in hepatic Gpr180 knockdown mice fed (A) NCD or (B) HFD mice. Results are shown as the mean ± SEM and analyzed by one-way ANOVA and Student’s unpaired t-test; n = 5 per group, * p < 0.05.
Nutrients 15 01838 g003
Figure 4. Reduction of body fat by Gpr180 knockdown in mice. Fat distribution in mice (n = 3) fed (A) NCD or (B,C) HFD. (D) Sizes of sWAT and (E) eWAT tissues in mice fed HFD. (F,I) GPR180 mRNA expression (n = 4–6), (G,J) tissue weight (n = 4–9), and (H) adipocyte size in sWAT and (K) eWAT. Results are shown as the mean ± SEM and analyzed by one-way ANOVA and Student’s unpaired t-test, * and # p < 0.05; ns: not significant.
Figure 4. Reduction of body fat by Gpr180 knockdown in mice. Fat distribution in mice (n = 3) fed (A) NCD or (B,C) HFD. (D) Sizes of sWAT and (E) eWAT tissues in mice fed HFD. (F,I) GPR180 mRNA expression (n = 4–6), (G,J) tissue weight (n = 4–9), and (H) adipocyte size in sWAT and (K) eWAT. Results are shown as the mean ± SEM and analyzed by one-way ANOVA and Student’s unpaired t-test, * and # p < 0.05; ns: not significant.
Nutrients 15 01838 g004
Figure 5. Plasma and liver lipid contents. (A) Plasma triglyceride, (B) cholesterol, (C) liver triglyceride, and (D) cholesterol contents after 12.5 weeks of treament with AAV9-shGpr180 or control scramble shRNA in mice fed NCD or HFD. Results are shown as the mean ± SEM and analyzed by one-way ANOVA and Student’s unpaired t-test; n = 6–9, * p < 0.05.
Figure 5. Plasma and liver lipid contents. (A) Plasma triglyceride, (B) cholesterol, (C) liver triglyceride, and (D) cholesterol contents after 12.5 weeks of treament with AAV9-shGpr180 or control scramble shRNA in mice fed NCD or HFD. Results are shown as the mean ± SEM and analyzed by one-way ANOVA and Student’s unpaired t-test; n = 6–9, * p < 0.05.
Nutrients 15 01838 g005
Figure 6. Amelioration of hepatic lipid deposition by Gpr180 knockdown. (A) Liver appearance in mice fed HFD. (B) Gpr180 knockdown efficiency in different tissues (n = 3–6). (C) Liver weight in mice fed NCD or HFD mice (n = 4–9). (D) Liver sections stained with oil red O and H&E. (E) Hepa1-6 cells were transfected with a Gpr180 overexpression plasmid or Gpr180-specific siRNA for 24 h, then treated with oleic and palmitic acids for 24 h before harvesting for analysis of transfection efficiency and triglyceride and cholesterol contents (n = 5 for each condition). Results are shown as the mean ± SEM and analyzed by one-way ANOVA and Student’s unpaired t-test; * and # p < 0.05. TAG, triglyceride; CHO, cholesterol.
Figure 6. Amelioration of hepatic lipid deposition by Gpr180 knockdown. (A) Liver appearance in mice fed HFD. (B) Gpr180 knockdown efficiency in different tissues (n = 3–6). (C) Liver weight in mice fed NCD or HFD mice (n = 4–9). (D) Liver sections stained with oil red O and H&E. (E) Hepa1-6 cells were transfected with a Gpr180 overexpression plasmid or Gpr180-specific siRNA for 24 h, then treated with oleic and palmitic acids for 24 h before harvesting for analysis of transfection efficiency and triglyceride and cholesterol contents (n = 5 for each condition). Results are shown as the mean ± SEM and analyzed by one-way ANOVA and Student’s unpaired t-test; * and # p < 0.05. TAG, triglyceride; CHO, cholesterol.
Nutrients 15 01838 g006
Figure 7. Induction of lipid biosynthesis by Gpr180 overexpression in hepatocytes. (A) Protein expression of SREBP1, SREBP2, and ACC in the livers of Gpr180-deficient and control mice fed HFD (n = 5). (B) Hepa1-6 cells were transfected with the Gpr180 overexpression plasmid for 30 h, cultured in serum-free medium for 12 h and then in 10% serum-containing medium, and analyzed for lipid-synthesis-related proteins at different time points by Western blotting (n = 5). (C) PKA activity in Hepa1-6 cells overexpressing Gpr180 was evaluated by immunoblot of PKA substrate antibody at different time points. (D) Luciferase activity was evaluated in HEK293T cells overexpressing Gpr180 (n = 12 for each condition). Data are shown as the mean ± SEM and analyzed by one-way ANOVA and Student’s unpaired t-test; * p < 0.05 (A,B,D). (E) Schematic presentation of study results. Gpr180 knockdown in the liver ameliorates HFD-induced obesity and lipid accumulation through the Gi-PKA-SREBP pathway. Precursor SREBP1, pSREBP1; mature SREBP1, mSREBP1; Precursor SREBP2, pSREBP2; mature SREBP2, mSREBP2.
Figure 7. Induction of lipid biosynthesis by Gpr180 overexpression in hepatocytes. (A) Protein expression of SREBP1, SREBP2, and ACC in the livers of Gpr180-deficient and control mice fed HFD (n = 5). (B) Hepa1-6 cells were transfected with the Gpr180 overexpression plasmid for 30 h, cultured in serum-free medium for 12 h and then in 10% serum-containing medium, and analyzed for lipid-synthesis-related proteins at different time points by Western blotting (n = 5). (C) PKA activity in Hepa1-6 cells overexpressing Gpr180 was evaluated by immunoblot of PKA substrate antibody at different time points. (D) Luciferase activity was evaluated in HEK293T cells overexpressing Gpr180 (n = 12 for each condition). Data are shown as the mean ± SEM and analyzed by one-way ANOVA and Student’s unpaired t-test; * p < 0.05 (A,B,D). (E) Schematic presentation of study results. Gpr180 knockdown in the liver ameliorates HFD-induced obesity and lipid accumulation through the Gi-PKA-SREBP pathway. Precursor SREBP1, pSREBP1; mature SREBP1, mSREBP1; Precursor SREBP2, pSREBP2; mature SREBP2, mSREBP2.
Nutrients 15 01838 g007
Table 1. Relationship between GPR180 polymorphisms and serum triglyceride levels.
Table 1. Relationship between GPR180 polymorphisms and serum triglyceride levels.
Variant and Risk AlleleBeta (Increase)Mapped GeneReported TraitStudy Accession
rs1341267-A0.0184 unitGPR180TriglyceridesGCST004237
rs9556404-A0.018 unitGPR180TriglyceridesGCST007133
rs9556404-A0.02 unitGPR180TriglyceridesGCST007142
rs2298058-T0.0245 mg/dL unitTGDS, GPR180TriglyceridesGCST006613
Note: These data were obtained from GWAS Catalog database (https://www.ebi.ac.uk/gwas/home (accessed on 12 May 2022)).
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Zhang, Y.; Zhu, Z.; Sun, L.; Yin, W.; Liang, Y.; Chen, H.; Bi, Y.; Zhai, W.; Yin, Y.; Zhang, W. Hepatic G Protein-Coupled Receptor 180 Deficiency Ameliorates High Fat Diet-Induced Lipid Accumulation via the Gi-PKA-SREBP Pathway. Nutrients 2023, 15, 1838. https://doi.org/10.3390/nu15081838

AMA Style

Zhang Y, Zhu Z, Sun L, Yin W, Liang Y, Chen H, Bi Y, Zhai W, Yin Y, Zhang W. Hepatic G Protein-Coupled Receptor 180 Deficiency Ameliorates High Fat Diet-Induced Lipid Accumulation via the Gi-PKA-SREBP Pathway. Nutrients. 2023; 15(8):1838. https://doi.org/10.3390/nu15081838

Chicago/Turabian Style

Zhang, Yunhua, Ziming Zhu, Lijun Sun, Wenzhen Yin, Yuan Liang, Hong Chen, Yanghui Bi, Wenbo Zhai, Yue Yin, and Weizhen Zhang. 2023. "Hepatic G Protein-Coupled Receptor 180 Deficiency Ameliorates High Fat Diet-Induced Lipid Accumulation via the Gi-PKA-SREBP Pathway" Nutrients 15, no. 8: 1838. https://doi.org/10.3390/nu15081838

APA Style

Zhang, Y., Zhu, Z., Sun, L., Yin, W., Liang, Y., Chen, H., Bi, Y., Zhai, W., Yin, Y., & Zhang, W. (2023). Hepatic G Protein-Coupled Receptor 180 Deficiency Ameliorates High Fat Diet-Induced Lipid Accumulation via the Gi-PKA-SREBP Pathway. Nutrients, 15(8), 1838. https://doi.org/10.3390/nu15081838

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop