Introduction
Deubiquitinases (DUBs) are specific enzymes that regulate multiple cellular functions by modulating ubiquitin molecules. Ubiquitin-specific peptidases belong to the superfamily of DUBs associated with various human diseases, including cancer progression [1]. More than 50 ubiquitin-specific peptidases (USPs) have been identified, and most of these enzymes exert their functions by reversing the polyubiquitination or monoubiquitination of target proteins. Malfunction of the ubiquitin system can either enhance the effect of oncogenes or reduce the activity of tumor suppressor genes, and this system has been implicated in the tumorigenesis of various cancers [2, 3]. USP24 is a 2620-amino acid protein containing one ubiquitin-associated domain (UBA), which binds to the ubiquitin signal on substrate proteins, and one ubiquitin C-terminal hydrolase (UCH) domain, which is the catalytic domain. The function of USP24 is poorly understood, and most studies examining USP24 have focused on the single nucleotide polymorphisms (SNPs) of USP24 implicated in Parkinson’s disease (PD) [4, 5]. In our previous study, we demonstrated that USP24 expression was upregulated in most late-stage lung cancer patients due to increased mRNA stability caused by SNPs or RNA editing [6]. Upregulation of USP24 decreases the stability of the methyltransferase Suv39h1 by promoting the expression of MDM2. The downregulation of Suv39h1 releases downstream genes from inhibition, leading to the expression of metastasis-related genes, such as those encoding CCL5 and ADAM10 [6]. Based on these findings, the upregulation of USP24 in cancer cells plays a critical role in promoting lung cancer metastasis. Recently, we used a structure modelling method to screen a novel specific USP24 inhibitor, USP24-i-101, which can inhibit drug resistance during lung cancer therapy in autophagy activation dependent manner [7, 8]. However, there is no study about the role of USP24 in lipogenesis.
Lipids derived from food or de novo lipogenesis are an important energy source. Imbalance in the synthesis or degradation of fat storage is associated with various diseases, such as obesity, diabetes, and lipodystrophy [9]. In mammals, excess fatty acids are stored in cytosolic lipid droplets (LDs) [10]. Several critical regulatory factors, including sterol regulatory element-binding proteins (SREBPs), function as sensors to control lipid homeostasis [11]. Additionally, mTORC1 and mTORC2 have been implicated in cancer lipid biogenesis through SREBP1-dependent and SREBP1-independent mechanisms [12]. Obesity-driven LD accumulation in non-adipose tissues is linked to insulin resistance, cardiovascular disease, and cancer [13]. Previous studies have shown that lipid droplets are involved in cancer-related signaling pathways, tumor-immune cell crosstalk, eicosanoid synthesis, cell cycle progression, sequestration of hydrophobic therapeutic agents, hypoxia-mediated lipid metabolism alterations, and the epithelial mesenchymal transition [14, 15]. However, the role of LDs in genomic stability remains poorly understood and required further investigation. Research has indicated that lipid droplets serve as the substrate for autophagy [16]. Multipotent stem cells (MSCs) differentiate into adipocytes through two stages, the commitment stage and the differentiation stage, when related factors like MDIR induction medium (M: IBMX, D: dexamethasone, I: Insulin, R: rosiglitazone) are added. Free fatty acids are released from mature adipocytes enter the circulation and induce fatty liver, metabolic associated steatohepatitis (MASH), vascular-related diseases, and diabetes [17, 18]. Proteins like C/EBPs and PPARγ are known to be directly involved in adipocyte differentiation [19]. C/EBPβ and C/EBPδ are upregulated during the early period to enhance PPARγ expression, while PPARγ combines with C/EBPα to activate adipocyte differentiation during the late period [20]. PKA or other kinases like AKT and MAPK phosphorylate CREB to activate lipogenesis-related genes [21]. Furthermore, acetylation of CREB increases transcription activity by recruiting p300/CBP [22]. MAFLD progresses to MASH, which increases the risk of developing liver failure, cirrhosis, and hepatocellular carcinoma [23]. In the livers of MASH patients, three major phenomena—lipogenesis in hepatocytes, inflammation in macrophages, and fibrosis in hepatic stellate cells (HSCs)—can be observed [23]. This study found that functional knockout of USP24 or USP24-i-101 targeting USP24 resulted in similar phenotypes, including weight loss in mice and inhibited MASH progression.
Materials and methods
Cell culture and transfection
3T3-L1 mouse preadipocyte fibroblast cells and AML12 normal mouse hepatocytes were obtained from the Bioresource Collection and Research Center (BCRC), Taiwan. Mice primary hepatocytes were isolated from C57BL/6Jnarl mice obtained from Taiwan National Applied Research Laboratories (NARlabs). Huh7 was kindly provided by Professor Wen-Ya Huang from NCKU in Taiwan. LX-2 was kindly provided by Professor Su-Chi Wang from Kaohsiung Medical University. 3T3-L1 cells were cultured in DMEM (Corning, NY, US) containing 10% FBS, and 100U/mL penicillin/streptomycin antibiotics. AML12, Huh7, LX-2 cells and mouse primary hepatocyte cells were cultured in Ham’s F12/DMEM medium (Corning, NY, US) containing 10% FBS, 100 units/mL penicillin/streptomycin, 40 ng/mL dexamethasone (MedChemExpress, NJ, US) and Insulin–Transferrin–Sodium Selenite supplement (Roche, Basel, CH). Cells were maintained in a sterile environment and incubated in a humid incubator at 37 °C with 5% CO2.
Animal experiment
C57BL/6Jnarl mice obtained from Taiwan National Applied Research Laboratories (NARlabs) were employed for animal experiments. Mice approximately 8–10 months of age were confined in standard cages under a 12-h light/dark cycle at 25 °C. Mice were fed a normal chow diet and high-fat diet (Research Diets, New Brunswick, NJ, USA) for 6 months to model obesity and fatty liver. The normal chow diet comprises 13.1% fat, 58.2% carbohydrate, and 28.6% protein as calorie intake, while the high-fat diet contains 60% fat, 20% carbohydrate, and 20% protein as calorie intake. Food intake and body weight were measured weekly, and blood sugar were determined in fasted mice via tai sampling. Additionally, USP24C1695A functional knockout mice were constructed using CRISPR/Cas-9 genome editing (Suppl. Figure 1). The designed sgRNA guided Cas-9 and recognized the USP24 sequence through its 5’crRNA complementary base pair component. Various dosage of USP24 inhibitors were administered intraperitoneally. (IACUC Approval Number: 109110, 111124, 111171).
Reverse transcription-quantitative polymerase chain reaction (RT-qPCR)
A reverse transcription pre-mixture (RT-premix) was prepared by combining 3 μg of RNA, 10 mM dNTP, and 20 mM OligoDT, with MQ water to a total volume of 14 μL. The reverse transcription buffer mixture (RT-buffer) consisted of 4 μL of 5X First Strand Buffer, 0.1 M dithiothreitol, 0.5 μL Superscript II, and 0.5 μL RNAse OUT (Invitrogen, MA, US). The RT-premix was incubated at 65 °C for 5 min, followed by 4 °C for 2 min. Subsequently, 6 μL of RT-buffer were added into RT-premix, which was then continued at 25 °C for 15 min, 50 °C for 50 min, and 72 °C for 15 min using C1000™ Thermo Cycler. The resulting cDNA was stored at −20 °C until use. Quantitative PCR was carried out using KAPA SYBR green reagent (Kapabioscience, NC, US) on a Bio-Rad CFX Connect Real-Time PCR detection system. Results were normalized and quantified using ∆∆Ct method. The sequences of the primers used are listed in Supplementary Table 4.
Ultrasound assay
Ultrasound data were generated and recorded using a VisualSonics Vevo 770 (Laboratory Animal Center, College of Medicine, National Cheng Kung University) with a RMV704 probe (40-MHz center frequency). Hepatorenal echo contrast is the difference of echo between the liver and kidney. Bright liver indicates stronger and more intense echoes from the hepatic parenchyma.
Magnetic resonance imaging (MRI)
MRI was carried out on BURKER 7 T PharmaScan (Laboratory Animal Center, Taipei Medical University, Taiwan) to detect body fat in mice. The field strength was 7 T and coil diameter was 40 mm. A spin echo sequence (SE_FAT, TR = 1000 ms, TE = 16 ms) was employed. Each mouse was imaged for a total of 16 slices at a thickness of 1.0 mm, with a field of view of 40 × 40 mm and matrix size of 300 × 400 mm.
Rotarod test
The rotarod test was performed as described previously [24]. USP24WT and USP24C1695A mice were placed in a rotating rod and the latency to fall from a rotating rod was scored automatically with infrared sensors in a Rotamex 5 rotarod (Columbus Inst, Columbus, OH, USA).
Biochemical tests
Blood samples were collected via terminal cardiocentesis from non-fasted, anesthetized mice. Samples were centrifuged for 15 min at 3000 rpm to extract the serum. The serum samples were then frozen at −80 °C and stored until further analysis. The levels of total protein (TP), glutamic oxaloacetic transaminase (GPT), glutamic oxaloacetic transaminase (GOT), albumin (ALB), alanine aminotransferase (ALT), triglyceride (TG) and total cholesterol (TCHO) in the serum were determined using FUJI DRI-CHEM 4000i (Laboratory Animal Center, College of Medicine, National Cheng Kung University).
ImageJ quantification
Western blot results were analyzed using the Gel Analyzer function. Oil Red O staining was measured through the color threshold function. Adipocyte cell size and number were assessed with the Adiposoft plugin. ImageJ (F.I.J.I.) version 1.53o was employed for all analyses.
Lentivirus infection knockdown
3T3-L1 cells were seeded in 6 well plates at a density of 15000 cells/well and incubated at 37 °C for 24 h. Lentivirus containing shRNA targeting mouse USP24 were added at a M.O.I. of 100 or 200, and cells were cultured for an additional 24 h. The medium was discarded, and fresh medium containing new lentivirus was introduced for another 48 h. Cells were collected to determine knockdown efficiency via western blotting. Lentiviruses were obtained from RNAi-Core, Sinica Academica Taiwan. The target sequence of the mouse USP24 shRNA was 5’-CCCGAGCTCTTGTCTGCCATT-3’.
Western blotting
Cells were washed with PBS and lysed with sample buffer. For animal tissues, organ tissues placed in RIPA lysis buffer and homogenized using zirconium oxide beads before being lysed with an equal volume of sample buffer after homogenization. Lysed samples were incubated at 95 °C for 10 min prior to use. Protein concentrations were measure using the Pierce™ BCA protein assay kit (Thermo Scientific, MA, US). Proteins were separated on a 10% SDS-PAGE. They were then transferred from the polyacrylamide gel to a PVDF membrane using a wet transfer tank for 3 h at 375 mA. A 5% non-fat milk solution in TBST (10 mM Tris–HCl, 150 mM NaCl, and 0.5% Tween 20, pH 8.0) was used as the blocking buffer, which was applied to the membranes and incubated at room temperature for 1–2 h. Specific primary antibodies for the protein of interest were then incubated with the blotted membranes overnight at 4 °C. The membranes were washed three times with TBST for 10 min each before being incubated with a secondary antibody against rabbit or mouse at room temperature for 1 to 2 h. Proteins of interest were detected using Immobilon® Western Chemiluminescent HRP substrate (Merck Millipore, MA, US) with the UVP CHEMIDOC-IT 815 Imaging System. β-actin and α-tubulin were used as internal controls. If stripping was required, blotted membrane were incubated in stripping buffer (0.1% glycine, 0.1% SDS, 1% Tween 20, pH 2.2). The primary antibodies used in this study are listed in Suppl. Table 5.
RNA extraction and RNA-sequencing
Cells were washed in cold PBS and lysed with TRIzol™ Reagent (Invitrogen, MA, US). Animal organ tissues were placed in cold TRIzol™ Reagent and homogenized. Lysed samples were stored in −80 °C until extraction. For 1 mL of sample in TRIzol™ Reagent, 200 μL of chloroform was added. Samples were vortexed vigorously for 15 s, incubated at room temperature for 3 min, then centrifuged at 12000 rpm at 4 °C for 15 min. The uppermost aqueous layer (around 450 μL) was extracted. 350 μL of isopropanol was added, samples were vortex gently and incubated at room temperature for 10 min. Samples were then centrifuged at 12000 rpm at 4 °C for 10 min. The supernatant was removed and RNA pellets were washed with 75% ethanol. RNA pellets were air dried and reconstituted in MQ water. RNA quality was measured with OD260/280, with a ratio of 1.8–2.0 desired. RNA samples were stored at −80 °C until use. RNA samples were sent to BIOTOOLS Co., Ltd for RNA sequencing. RNA was sequenced with Illumina NovaSeq 6000, paired-end at 150 bp. Sequencing reads were analyzed using DESeq2, |Fold-Change|> 2 and adjusted p-value of less than 0.05.
Oil Red O staining
Dissolve 0.5 g of Oil Red O dye (Abcam, CB, UK) in 100 mL isopropanol to prepare a stock solution. A working solution was prepared by diluting stock solution with water to obtain a 60% Oil Red O isopropanol solution, filter the solution. Cells were fixed in 10% formaldehyde/PBS for 30 min. Cells were later incubated in 60% isopropanol for 5 min and stained for 20 min. Cells were washed twice with water and covered with 90% glycerol/PBS. For tissue sections, animal tissues were incubated in 15% sucrose/PBS 6 h at 4 °C, followed by incubation in 30% sucrose/PBS overnight at 4 °C. After drying, tissues were fixed in OCT (Sakura, CA, US) and frozen in liquid nitrogen. Frozen sections were cut at 10–15 µm and air-dried for 30 min. Sections were fixed with 10% formaldehyde/PBS for 5 min, dipped in 60% isopropanol, and stained with the working stain solution for 15 min. Sections were dipped in 60% isopropanol and rinsed with water before being stained with hematoxylin for 1 min. After rinsing with water, 90% glycerol/PBS was used to mount the cover slip.
3T3-L1 adipocyte differentiation
3T3-L1 cells were seeded in 6-well plates and grown until confluence. The cells were subsequently fed with fresh DMEM medium for an additional 48 h. The cells were later treated with a differentiation medium consisting of DMEM containing 10% FBS, 500 µM IBMX, 1 µM dexamethasone, 1 µM rosiglitazone (MedChemExpress, NJ, US), and 1.5 µg/mL insulin (Eli Lilly and Company, IN, US) for 48 h. The differentiation medium was replaced with an insulin medium containing 1.5 µg/mL insulin for another 48 h. The cells were then incubated in fresh DMEM medium for an additional 4 days. The cells were stained with Oil Red O stain to confirm lipid accumulation in mature adipocytes.
Free fatty acid supplement
Free fatty acid (FFA) solution was prepared by dissolving sodium oleate and sodium palmitate (Sigma-Aldrich, MO, US) at 200 mM and 100 mM, respectively, in 50% alcohol at 60 °C for 30 min. The FFA solution was then diluted 10X with a 5 mM BSA solution. The FFA-BSA solution was incubated at 37 °C for 1 h to allow conjugation. Hepatocytes were seeded in 6-well plates at 70% confluency. The cells were treated with medium containing 10% FBS and FFA for 24 h. The cells were then stained with Oil Red O staining to confirm lipid accumulation.
Primary hepatocyte isolation
Primary mouse hepatocytes were isolated using a collagenase perfusion method [25]. Mice were anaesthetized with 0.2 mL of a 1:1 mixture of Zoletil and Xylazine (Virbac, Carros, FR). The liver was first perfused with a warm perfusion buffer (0.5 mM EDTA, 25 mM HEPES in HBSS, pH 7.4) through the vena cava at a flow rate of 3 mL/min using a peristaltic pump after confirming swelling of the liver. The portal vein was then cut to release the blood. After the blood had cleared from the liver, 20 mL of collagenase (C5138, Sigma-Aldrich, MO, US) in digestion buffer (25 mM HEPES, 0.1 µg/mL collagenase, in HBSS with Ca2+ and Mg2+, pH 7.4) was perfused into the liver, and the portal vein was clamped every minute to ensure full perfusion of the liver. Next, the liver was dissected and placed in ice-cold digestion buffer. Hepatocytes were released onto an uncoated plate by puncturing the liver sac and gently scraping the liver. The medium was collected and centrifuged at 50 g for 2 min. The cells were resuspended with 20 mL of 45% Percoll solution in DMEM and centrifuged at 200 g for 10 min to obtain purified live hepatocytes. Primary hepatocytes were washed with DMEM and plated on collagen-coated plates with low glucose DMEM medium for 3–4 h, after which the medium was changed to Ham’s DMEM/F12 supplemented with FBS, insulin, transferrin, selenium, and dexamethasone for maintenance. Experiments on primary hepatocytes were conducted within 3 days of isolation.
Immunohistochemistry
Mouse liver tissues were fixed, dehydrate, and embedded in paraffin after incubating in 10% formaldehyde for 24 h at 5 µm thickness. Sections were stained with Hematoxylin and eosin. The Novolink Polymer Detection Systems (Leica Biosystem, HE, DE) was used for immunohistochemistry. Paraffin-embedded sections were de-paraffinized at 60 °C for 1 h, dewaxed with xylene, and dehydrated with a graded series of ethanol. Endogenous peroxidase was neutralized with Peroxidase Block for 5 min and protein blocking was performed with Protein Block for 5 min. Primary antibodies covered the sections overnight at 4 °C. After washing the primary antibodies, sections were incubated with Post Primary for 30 min, followed by Novolink Polymer for 30 min. Sections were developed using DAB solution for 5 min and counterstained with Hematoxylin. Photographs were taken using an Olympus BX-51 microscope (Olympus, Melville, NY, USA). Primary Antibodies used: anti-USP24 (1:100), anti-PLIN2 (1:200), anti-C/EBPβ (1:200), anti-PPAR-γ (1:500), and anti-SREBP1 (1:500).
Masson’s trichrome staining
The liver tissues from all mice were collected and routinely fixed in 4% formalin at 4 °C for 48 h before being embedded in paraffin. Sections of 5 µm thickness were cut and then deparaffinized. Masson's trichrome staining was conducted using Masson's trichrome kits (Abcam, ab150686) according to the manufacturer' instruction to measure the density of collagen fibers.
Protein modeling
A homology model of USP24 was generated using the Modeller module in Chimera, as previously reported [7, 26]. The crystal structures for PKA-Cα (PDB ID: 4WB5) and ubiquitin-USP7 complex (PDB ID: 5KYE) were obtained from The Protein Data Bank [27]. Next, the 3D coordinates of ubiquitin for USP24 were obtained from the ubiquitin-USP7 complex structure, which was used to align the USP24 structure. Protein–protein docking was performed using ZDOCK [28]. Docking results were selected based on the distance between the PKA-Cα residue G76 and Ubiquitin residue K310. The PKA-Cα and ubiquitin structures were then covalently bonded at these residues. Finally, a Molecular Dynamic simulation was performed using Discovery Studio [29]. The simulation was performed for 10 ns at default settings.
Statistical assay
The investigator was aware of the sample allocation during the experiment and when evaluating its outcome for all experiments. For all experiments, at least three independent biological replicates of each condition were analyzed. The estimated variation within each experiment group is similar. Statistical significance between two experimental groups was calculated using a two-tailed Student’s t-test, where a p-value of less than 0.05 was considered significant. The data and error bars shown represent the mean ± standard deviation and p-values (*p < 0.05; **p < 0.01; ***p < 0.001; ****p < 0.0001). All data were statistically analyzed using GraphPad Prism software version 9.0.
Results
USP24 positively regulates adipogenesis
Previous studies on the role of USP24 in neurodegenerative diseases and cancer progression have been conducted, but its role in MAFLD progression remains unclear. According to previous studies on USP24, the loss of cys1698 (cys1695 in mice) in the catalytic motif of USP24 results in enzyme-death [30]. Therefore, we used CRISPR/Cas9 to construct mice with functional knockout of USP24 (USP24C1695A). The added Nar I restriction enzyme site was used for genotyping, and the experimental design and genotyping results are shown in Suppl. Figure 1A and Suppl. Figure 1B. The body weights and sizes of USP24C1695A (USP24KO) mice were lower than those of USP24WT mice, implying that USP24 expression might be involved in lipogenesis (Fig. 1A and Suppl. Figure 1C). There was no significant difference in food intake between USP24WT and USP24C1695A mice (Suppl. Figure 1D). The USP24+/+ and USP24± mice survived, but approximately 50% of the USP24−/− (USP24C1695A/C1695A) newborn mice died 1 week after birth (Fig. 1B). However, the mice who survived the first week after birth tended to survive, and the physical activity of the USP24WT and USP24C1695A mice was not significantly different (Fig. 1B, right panel). USP24WT and USP24C1695A (USP24−/−) mice fed a high-fat diet (HFD) for 19 weeks were used to study the role of USP24 in lipogenesis (Fig. 1C and D). Compared with USP24WT mice, USP24C1695A mice had significantly decreased body weights under normal diet (ND) and high-fat-diet (HFD) conditions (Fig. 1C, e). The blood glucose levels in USP24C1695A mice were lower than those in USP24WT mice under HFD conditions (Suppl. Figure 1E). The lipid droplet formation (Suppl. Figure 2A) and insulin expression (Suppl. Figure 2B) were decreased, and there was no significant change in pancreatic β-cells in USP24C1695A mice (Suppl. Figure 2C), implying that USP24 might also be involved in diabetes (Suppl. Figure 2). After 19 weeks of ND or HFD feeding, USP24WT HFD-fed mice were larger than USP24C1695A HFD-fed mice were, suggesting that the loss of USP24 enzyme activity inhibited obesity (Fig. 1C, a). Furthermore, lipid droplets accumulated in the livers of USP24WT HFD-fed mice but not in those of USP24C1695A HFD-fed mice, indicating that the loss of USP24 may inhibit fatty liver development (Fig. 1C, b, d). Interestingly, visceral adipose tissue (VAT) around the kidneys was found in HFD-USP24WT-mice but not in ND- and HFD-USP24C1695A-mice (Fig. 1C, c, f), indicating that the loss of USP24 enzyme activity inhibits fat accumulation in vivo. Ultrasound was also used to study the fat accumulation in vivo (Fig. 1D). The data revealed an obvious signal in the livers of HFD-USP24WT male and female mice but not in those of HFD-USP24C1695A mice (Fig. 1D, a, b and Suppl. Figure 1F). The role of USP24 in lipogenesis in hepatocytes was investigated (Fig. 1E and Suppl. Figure 3). First, we used a hepatoma cell line, Huh-7 cells, to study this question (Suppl. Figure 3). USP24-i-101, which targets USP24, did not inhibit lipogenesis in Huh-7 (Suppl. Figure 3A-3C). Furthermore, we directly cultured primary hepatocytes from USP24WT and USP24C1695A mice to study the effect of USP24 expression on hepatocyte lipogenesis (Fig. 1E). Compared with those from USP24WT mice, primary hepatocytes cultured from the livers of USP24C1695A mice showed dramatically decreased FFA-induced lipid droplet formation (Fig. 1E, b). In summary, USP24 expression not only facilitates fatty liver but also facilitates the accumulation of visceral adipose tissue (VAT) around organs and subcutaneous adipose tissue (SAT), which induces several related diseases, such as liver cirrhosis, cardiovascular disease, and diabetes.
[IMAGE OMITTED: SEE PDF]
USP24-i-101, which targets USP24, reduces the size of adipose tissues
We employed a specific USP24 inhibitor, USP24-i-101, to assess the therapeutic effect of USP24-i-101 on inhibiting lipogenesis mediated by USP24 (Fig. 2). Mice were pre-fed a HFD for 2 months and subsequently treated with various doses of USP24-i-101 twice a week for one month (Fig. 2A). The food intake of HFD-fed mice was not different from that of control mice with or without USP24-i-101 treatment (Suppl. Figure 4A). The body weights of the mice were measured every week (Fig. 2B). Compared to DMSO-treated mice, the body weights of USP24-i-101-treated mice were decreased by approximately 3–5 g (Fig. 2B). The body, VAT and SAT sizes of the mice were significantly decreased following USP24-i-101 treatment (Fig. 2D and Suppl. Figure 4B). Subcutaneous and visceral fat contents were measured via MRI (Fig. 2D). The data showed that the MRI signals representing subcutaneous adipose tissue (SAT) fat (Fig. 2D, a, b) and visceral adipose tissue (VAT) were increased in HFD-fed female and HFD-fed male mice, but 10 mg/kg USP24-i-101 in HFD-fed female mice and 1 mg/kg USP24-i-101 in HFD-fed male mice significantly inhibited fat signaling (Fig. 2D). After sacrifice, the fat collected from different locations was compared between HFD-fed mice that had or had not received USP24-i-101 treatment (Fig. 2E, a, b). The data indicated that visceral fat surrounded the kidneys in HFD-fed mice but was nearly abolished under USP24-i-101 treatment, suggesting that targeting USP24 dramatically inhibited obesity. The sizes of adipocytes in epididymal white adipose tissue (eWAT) and inguinal white adipose tissue (iWAT) were also studied (Fig. 2F). The sizes of adipocytes were increased in HFD-fed mice but were reversed after USP24-i-101 treatment (Fig. 2F). We also cultured wild-type primary hepatocytes to treat them with USP24-i-101 and found that USP24 expression significantly inhibited lipid droplet formation (Fig. 2G and Suppl. Figure 4C). In addition, serums collected from mice were used to investigate the biochemical analysis, and results indicated that total protein (TP), albumin (ALB) and triglyceride (TG) levels were not significantly different. GPT/GOT and TCHO expression were markedly inhibited under USP24-i-101 treatment, suggesting that USP24-i-101 is safe at the working dose (Fig. 2H).
[IMAGE OMITTED: SEE PDF]
USP24 promotes adipogenesis
Next, we investigated the mechanisms through which USP24 regulates body weight and lipid accumulation. Previous studies have shown that adipocyte formation is a major factor in increased body weight and lipid accumulation. Here, we studied the effect of USP24 on adipocyte formation using oil red O staining (Fig. 3). 3T3-L1 cells were differentiated into adipocytes with or without USP24-i-101 treatment (0-8th day) (Fig. 1A). The data indicated that lipid droplets were dramatically accumulated in control differentiated cells (treated with DMSO) but could be inhibited after USP24-i-101 treatment, suggesting that USP24 expression positively regulates adipogenesis (Fig. 3A). To study the effect of USP24-i-101 on differentiation stage of adipocytes, USP24-i-101 was added at the early stage (0-2nd day) or late stage (4th–8th day) to study adipocyte differentiation. The data indicated that the addition of USP24-i-101 at an early stage inhibited adipocyte formation, while the addition of USP24-i-101 at a late stage did not, implying that USP24 expression is involved in adipocyte differentiation at an early stage (Fig. 3A). USP24 expression was also silenced during 3T3-L1 differentiation to address the role of USP24 in lipogenesis (Fig. 3B). According to cell morphology (Fig. 3B, a) and oil red O staining results (Fig. 3B, b, c), lipid droplet accumulation was nearly abolished in USP24-knockdown cells, indicating that USP24 expression is critical for lipogenesis in adipocytes. Finally, GFP, GFP-USP24 and GFP-USP24C1695A were overexpressed in 3T3-L1 cells to study adipogenesis (Fig. 3C). The data indicated that GFP-USP24 overexpression can significantly increase lipid droplet formation but can be inhibited by GFP-USP24C1695A overexpression, suggesting that the enzyme activity of USP24 is required for adipogenesis (Fig. 3C).
[IMAGE OMITTED: SEE PDF]
USP24 increases p-CREB, CEBPβ and PPARγ expression to promote adipogenesis
To elucidate how USP24 regulates adipogenesis, 3T3-L1 cells were treated with USP24-i-101, which targets USP24, and the knockdown or overexpression of USP24 was investigated in differentiated 3T3-L1 cells (Fig. 4). The expression of USP24 increased during adipocyte differentiation, suggesting that USP24 expression might be related to adipocyte differentiation in the early period (Fig. 4A, a, b). The expression levels of several lipogenesis-related proteins, including SREBP1c, CREB, p-CREB, C/EBPβ,C/EBPδ, PPARγ, PLIN1, and LC3B, were determined in USP24-i-101-treated adipocytes (Fig. 4A, a, d–i). Data showed that the expression of all proteins except C/EBPδ was significantly inhibited by USP24-i-101 treatment (Fig. 4A, a, d–i). As LC3B expression was also increased here, USP24-i-101 was used to study its effect on autophagy in hepatocytes (Suppl. Figure 5). The data indicated that USP24-i-101 treatment increased LC3B expression in hepatocytes and adipocytes, suggesting that USP24-i-101-mediated autophagy might be involved in adipogenesis (Suppl. Figure 5A-5E). The expression of several lipogenesis-related proteins, SREBP1c, C/EBPβ, PPARγ, PLIN1 and p300, was determined in USP24-silenced adipocytes (Fig. 4B). Data indicated that the expression of all related proteins was significantly decreased in USP24-knockdown cells, implying that the increase in USP24 expression during 3T3-L1 differentiation is involved in lipogenic gene expression (Fig. 4B). GFP, GFP-USP24, or GFP-USP24C1695A was overexpressed in 3T3-L1 cells to study the expression of these adipogenesis-related proteins (Fig. 4C). Data indicated that the expression of all adipogenesis-related proteins, including p-SREBP1, PPARγ, C/EBPβ, PLIN1, CREB, and p-CREB, was increased in GFP-USP24-overexpressing cells but not in the GFP-USP24C1695A-overexpressing cells, indicating that the enzyme activity of USP24 is necessary for adipogenesis (Fig. 4C). Primary hepatocytes isolated from USP24 knockout mice were treated with free fatty acid (FFA), and FFA treatment significantly increased the expression of USP24 and PLIN2 in USP24WT mice but only slightly increased the expression of PLIN2 in USP24C1695A mice, suggesting that the enzyme activity of USP24 is important for FFA-mediated induction of lipogenesis in the liver (Fig. 4D). Inhibiting PKA activity with the PKA inhibitor H89 decreased USP24 expression (Fig. 4E), indicating that USP24 and PKA positively regulate each other. How does USP24 promote adipogenesis directly? The early-stage phosphorylation of CREB is critical for adipogenesis [31]. First, CREB protein phosphorylation during 3T3-L1 differentiation with or without USP24-i-101 treatment was measured (Fig. 4F). Data indicated that both the protein phosphorylation and total CREB but not mRNA expression level of CREB were decreased by USP24-i-101 treatment, implying that phosphorylation of CREB may be involved in its protein stability (Fig. 4F, Suppl. Figure 5G). Studying protein stability of p-CREB and CREB under cycloheximide (CHX) treatment found that phosphorylation of CREB can increase its protein (Fig. 4G), indicating that USP24 expression may increase the phosphorylation of CREB, thereby increasing its protein stability. These findings indicate that USP24 expression promotes adipogenesis through positive regulation of lipogenesis-related gene expression.
[IMAGE OMITTED: SEE PDF]
USP24 expression stabilizes PKA-Cα and p300 during adipogenesis
Since the data in Fig. 4 suggested that USP24 expression might be involved in the early period of adipogenesis, we studied the mechanism by which USP24 regulates signaling pathway during adipogenesis in detail (Fig. 5). Several kinases, including RSK2, CaMKII, CaMKIV and PKA, have been reported to phosphorylate CREB [31]. Our findings showed that treatment with USP24-i-101 or knockdown of USP24 expression decreased the expression of CaMKII and the PKA catalytic subunit α (PKA-Cα) (Fig. 5A and B). In contrast, overexpression of GFP-USP24WT in 3T3-L1 cells increased PKA-Cα expression compared with USP24C1698A overexpression (Fig. 5C, a, b). Additionally, the ubiquitination signal of PKA-Cα was reduced on day 4 compared to day 0 (Fig. 5C, c), suggesting that the enzyme activity of USP24 is required for adipogenesis. Treatment with USP24-i-101 and knockdown of USP24 expression also decreased the protein stability of PKA-Cα (Fig. 5D and E), implying that PKA-Cα may be as a substrate of USP24. Since p300 can bind to CREB to increase its activity [22], our previous studies revealed that p300 is the substrate of USP24 [31]. We also found that the knockdown of USP24 expression decreased the protein expression of p300 but did not significantly change its mRNA expression (Fig. 4B and Suppl. Figure 5F). PKA-Cα and p300 can interact with USP24 but not CaMKII (Fig. 5F). Overexpression of GFP-USP24 in 3T3-L1 cells increased PKA-Cα expression and decreased the ubiquitination signal of PKA-Cα through a proteasome-dependent manner, whereas this effect was not observed when GFP-USP24C1695A was overexpressed (Fig. 5G). Conversely, treatment with USP24-i-101 or knockdown of USP24 expression increased the ubiquitination signal of USP24 in a proteasome-dependent manner under similar PKA-Cα level condition (Fig. 5H, I). In in vitro enzyme assays revealed that USP24 can eliminate the ubiquitination of PKA-Cα, possibly including the polyubiquitination and monoubiquitination of PKA-Cα (Fig. 5J). Previous studies have indicated that two residues, K286 and K310, in PKA-Cα can be ubiquitinated by its E3-ligase [32]. A model of the USP24-ubiquitin-PKA-Cα complex was generated to gain better insight into its structure (Fig. 5K). The USP24 catalytic site is positioned close to the ubiquitin-PKA-Cα protein. Molecular Dynamic dynamics simulations revealed that USP24 residues are positioned near the USP24-ubiquitin-PKA-Cα complex, including USP24 residues C10, H282, and N302, which are positioned near the PKA-Cα G76 and ubiquitin K310 bonds. The position of USP24 facilitates tagging for additional cellular processing of the complex. Finally, a cAMP analog, rp-cAMPs, was employed to compete with cAMP, thereby inhibiting the activity of PKA-Cα, to address the synthesis of fatty acid in adipocytes (Suppl. Figure 5H). The synthesis of fatty acid was partially inhibited by rp-cAMPs, but can be totally inhibited by USP24-i-101, indicating that other USP24-regulated factors, such as CaMKII, also contribute to the effect of USP24 in adipogenesis (Suppl. Figure 5H). In summary, USP24 not only interacts with PKA-Cα to positively regulate each other, increasing CREB1 phosphorylation but also stabilizes p300 and increases the transcriptional activity of p-CREB during adipogenesis.
[IMAGE OMITTED: SEE PDF]
USP24 positively regulates lipogenesis, inflammation, and fibrosis gene expression in HFD-fed mice
To study the effect of USP24 on gene expression systemically, liver organs collected from normal diet (ND)-fed and high-fat diet (HFD)-fed mice with or without USP24 functional knockout (USP24C1695A) were used to investigate the gene expression profiles via RNA-seq (Fig. 6, Suppl. Figure 6-Suppl. Figure 11 and Suppl. Table 1-Table 2). First, the concentration and quality of all the RNA samples were evaluated (Suppl. Figure 7A). All the control results, including the error rate distribution, base content distribution, Trimmomatic results, distribution of gene expression levels, Pearson correlation coefficient, Trimmomatic Trim results summary and principal component analysis (PCA), supported the quality of these RNA-seq results (Supp. Figure 6). After analysis with bioinformatics tools, 236 genes in the livers of USP24WT mice but only 52 genes in the livers of USP24C1695A mice were found to show upregulated expression in HFD-fed mice compared with ND-fed mice (Suppl. Figure 7B, b, c), implying that USP24 regulates lipogenesis-related gene expression. However, 103 genes in female USP24-knockout HFD-fed mice and 113 genes in male USP24C1695A HFD-fed mice showed significantly downregulated expression compared with those in USP24WT HFD-fed mice (Suppl. Figure 7B–Suppl. Figure 7C). Most expression of the genes related to fatty liver and diabetes, such as LPIN1, LCN2 and CTSB, in USP24C1695A HFD-fed mice were downregulated, suggesting that USP24 is involved in lipogenesis (Suppl. Figure 8). Acetyl-CoA carboxylase (ACACB), which catalyzes the carboxylation of acetyl-CoA to malonyl-CoA, the rate-limiting step in fatty acid synthesis, and ACACB expression was also significantly downregulated in USP24C1695A HFD-fed mice (Suppl. Figure 8). The abundance of stearoyl-CoA 9-desaturase 1 (SCD1), an iron-containing enzyme that catalyzes a rate-limiting step in the synthesis of unsaturated fatty acids, was dramatically decreased in USP24C1695A HFD-fed mice (Suppl. Figure 8). Another gene, secreted phosphoprotein 1 (SPP1), which is overexpressed in many cancer types and correlated with poor prognosis, was also significantly downregulated expression in USP24C1695A HFD-fed mice (Suppl. Figure 8) 30,31. By using GO enrichment (Suppl. Figure 9A) and DEG analysis, we also found that most of the genes related to lipogenesis, such as those related to fatty acid metabolism, acyl-CoA metabolism, steroid metabolism, and lipid catabolism, had downregulated expression in USP24-knockout HFD-fed mice (Fig. 6A, b and Suppl. Figure 9A). In addition, biological pathways (DEG Down GO TERMs-BP Enrichment; Fig. 6A, a and Suppl. Figure 10A) and disease pathways (DEG Down DisGeNET Enrichment Pathway; Suppl. Figure 9B and Suppl. Figure 10B) were regulated by USP24. Other genes related to diseases such as lupus vulgaris, amyloid neuropathies, aortic aneurysm and chronic kidney diseases also showed downregulated expression in USP24C1695A mice (Suppl. Figure 10B). Many lipogenesis-related diseases, such as fatty liver, hyperinsulinism, diabetes, and dyslipidemia, were significantly inhibited in USP24C1695A -overexpressed or USP24-i-101-treated HFD-fed mice, implying that targeting USP24 might prevent these diseases (p < 0.00005; Fig. 6A, a and c). In the DEG Down GO TERM-CC enrichment analysis, we found that the loss of USP24 expression decreased the activity of several lipid trafficking pathways, such as the lysosome, lytic vacuole and lipoprotein particle pathways (Suppl. Figure 10C). In the DEG downregulated KEGG enrichment analysis, pathways related to lysosomal activity, biosynthesis of unsaturated fatty acids, the PPAR signaling pathway and alcoholic liver disease had downregulated expression in USP24-knockout HFD-fed mice (Suppl. Figure 11A). In the DEG Down DO Enrichment Pathway, pathways related to arteriosclerotic cardiovascular disease obesity were significantly inhibited by knocking out USP24 (Suppl. Figure 11B). Numerous genes related to β-oxidation (Suppl. Figure 12A, a), adipogenesis (Suppl. Figure 12B, b), glycolysis and gluconeogenesis (Suppl. Figure 12C, a, b) had downregulated expression in USP24C1695A mice (Suppl. Figure 12).
[IMAGE OMITTED: SEE PDF]
We examined the global gene expression profiles not only in HFD-USP24C1695A mice but also in USP24-i-101-treated mice (Fig. 6A, c and d, Suppl. Figure 9C-9E). All control results, including H&E staining results of the RNA-seq samples (Suppl. Figure 13), the error rate distribution (Suppl. Figure 14A), the base content distribution (Suppl. Figure 14B), Trimmomatic results (Suppl. Figure 14C), the distribution of gene expression levels (Suppl. Figure 14D), Pearson correlation coefficient (Suppl. Figure 14E) and Trimmomatic Trim results summary (Suppl. Figure 14F), supported the quality of these RNA-seq results. We used a heatmap (Suppl. Figure 9C) and volcano plot (Fig. 6A, d) to address the effect of USP24-i-101, which targets USP24, on the systemic gene expression profile of HFD-fed mice (n = 3). A total of 332 genes showed downregulated expression, and 394 genes showed upregulated expression following the 5 μM USP24-i-101 treatment (Suppl. Figure 9C and Fig. 6A, d). Several lipocalin (LCN)-like genes, such as Mup1, Mup3, Mup12, Mup15, Mup16, Mup7, Mup11, Mup17 and Mup14, had upregulated expression induced by USP24-i-101 treatment, which is consistent with the inhibition of obesity and diabetes [33, 34]. Several Cyp genes, such as Cyp4a14, Cyp3a11 and Cyp4a10, had downregulated expression in mice treated with USP24-i-101, which targets USP24 (Fig. 6A, d). Several lipogenesis-related pathways, such as the fatty acid metabolic process, lipid catabolic process, alcohol metabolic process, cholesterol metabolic process and steroid metabolic process, were downregulated in DEG ALL GO Dotplot (Suppl. Figure 9D) and DEG Down ALL GO Dotplot (Fig. 6A, c). However, several pathways related to the collagen-containing extracellular matrix, negative regulation of proteolysis and the humoral immune response had decreased activity according to the DEG Up ALL GO Dotplot (Suppl. Figure 9E). Finally, not only fatty acid metabolism-related genes (Suppl. Table 1) but also inflammation-related genes (Fig. 6B and Suppl. Table 2) and fibrosis-related genes (Suppl. Table 3) had downregulated expression in USP24C1695A mice, implying that targeting USP24 might potentially inhibit metabolic associated fatty liver disease (MAFLD). The expression of two inflammatory-related genes, Ly86 and Pla2g7, was validated in mice with or without USP24 knockout by qPCR (Fig. 6C). Indeed, the loss of USP24 expression decreased the mRNA expression of Ly86 and Pla2g7 (Fig. 6C). Hepatocyte AML12 cells with or without USP24 knockdown were treated with LPS to measure the expression of Pla2g7 (Fig. 6D). The data indicated that USP24 knockdown decreased the mRNA expression of LPS-induced Pla2g7 in AML12 cells (Fig. 6D). WT and USP24-knockout hepatocytes isolated from mice (Fig. 6E, a, b) or hepatocyte AML cells (Fig. 6E, c, d, e) were used to study the effect of USP24 expression on inflammation with or without LPS or USP24-i-101 treatment. The levels of NF-κB and p-NF-κB were significantly decreased in USP24C1695A and USP24-i-101-treated USP24WT primary hepatocytes (Fig. 6E, a, b) and AML cells (Fig. 6E, c, d, e), suggesting that the loss of USP24 expression in mice decreases the activity of the NF-κB signaling pathway, thereby inhibiting inflammation (Fig. 6E). Finally, the effect of USP24 expression on inflammation in FFA-treated AML cells with or without USP24 knockdown (Fig. 6F) or USP24-i-101 treatment (Fig. 6G) was also investigated. The expressions of NF-κB and p-NF-κB (p-p65) were inhibited in USP24-knockdown (Fig. 6F) or USP24-i-101-treated (Fig. 6G) FFA-treated AML cells. Together, these findings suggest that USP24 promotes inflammation and fibrosis during MASH progression. In summary, not only in USP24 knockout mice but also in USP24-i-101-treated mice, most lipogenesis-, inflammation- and fibrosis-related genes had downregulated expression, indicating that USP24-i-101, which targets USP24, can inhibit MASH.
Inhibition of USP24 expression suppresses inflammation- and fibrosis-related gene expression
To date, we have elucidated the role and mechanism of USP24 in adipocytes. Does USP24 expression participate in MASH progression in the liver? To further investigate the role of USP24 expression in the liver, several experiments related to MASH were conducted here (Fig. 7). All the pathways associated with fibrosis showed decreased activity in USP24 knockout mice (Suppl. Figure 15A). The number of cells with macrovascular steatosis in the livers of the mice was determined (Suppl. Figure 14 and Suppl. Figure 15B). The number of cells with macrovascular steatosis was higher in HFD-fed mice than in ND-fed mice, and the knockout of USP24WT (USP24C1695A) decreased the number of these cells (Suppl. Figure 15B and Suppl. Figure 16). Additionally, the mRNA expression of fibrosis-related genes α-SMA, Cola1 and TGF-β1 was significantly inhibited by USP24-i-101 treatment in primary hepatocytes (Suppl. Figure 15C). USP24 expression was knocked down or treated with USP24-i-101 in LX-2 cells (Fig. 7A and B) and AML12 cells (Fig. 7C and D) with or without LPS treatment to study the expression of inflammation- and fibrosis-related proteins. The expression of COX2, NF-κB, p-p65, vimentin, NLRP3, N-cadherin (N-cad), α-SMA, fibronectin and collagen were significantly decreased, and IκB expression was increased in LX-2 cells (Fig. 7A and B) and AML12 cells (Fig. 7C and D), suggesting that USP24 expression positively regulates inflammation in the liver. Since TGF-β can induce fibrosis in the liver, USP24 plays a role in TGF-β-treated LX-2 cells (Fig. 7E and F) and AML12 cells (Fig. 7G and H). The expression of the fibrosis-related proteins vimentin, N-cadherin, α-SMA, fibronectin and collagen were inhibited in USP24-knockdown LX-2 cells (Fig. 7E) and AML cells (Fig. 7G) and in USP24-i-101-treated LX-2 cells (Fig. 7F) and AML cells (Fig. 7H), while the expression of E-cadherin (E-cad) was increased, indicating that USP24 promotes fibrosis in the liver.
[IMAGE OMITTED: SEE PDF]
The expression of the lipogenesis-related proteins PLIN2, PPARγ, CEBPβ and SREBP1 was decreased in USP24-i-101-treated mice, indicating that USP24-i-101, which targets USP24, inhibits lipid formation (Fig. 8A). Free fatty acid (FFA) treatment increased lipid droplet formation in primary hepatocytes, which were inhibited by USP24-i-101 (Fig. 8B). The expression of NF-κB and COX2 was decreased in USP24 knockout mice (USP24C1695A) (Fig. 8C) and USP24-i-101-treated HFD-fed mice (Fig. 8D), indicating that targeting USP24 inhibits inflammation. Additionally, the expression of αSMA and collagen was significantly decreased in USP24C1695A- (Fig. 8E) or USP24-i-101-treated HFD-fed mice (Fig. 8F), implying that the loss of USP24 represses fibrosis in the livers of HFD-fed mice. Lastly, the relationships among the expression of USP24, p300, PPARγ, COX2 and αSMA in metabolic associated fatty liver (MAFL) cohorts were studied (Fig. 8G, H, Suppl. Table 6 and Suppl. Figure 17). The data showed strong correlations between USP24 and PPARγ (8/8; 100%) and between USP24 and p300 (7/8; 87.5%) (Fig. 8G). We also studied USP24 and PKA-Cα expression in clinical cohorts with obesity using the TCGA database (Fig. 8H). There was a positive correlation between the protein expression and localisation of USP24 and PKA-Cα (Fig. 8H). Furthermore, USP24 expression was upregulated from stage 3 to stage 4 in most MASH patients (Fig. 8I, a, b). A highly positive correlation among USP24, COX2 and αSMA expression was also found in patients of the MASH clinical cohort whose disease was at different stages (Fig. 8I, c, Suppl. Figure 17). These findings suggest that USP24 and p300 may together regulate PPARγ, COX2 and αSMA, leading to fatty liver, inflammation and fibrosis. Since MAFLD/MASH is associated with a high risk of HCC, HCC cohorts from the TCGA database revealed that patients with higher USP24 expression had poor prognosis (p = 0.0024), indicating that higher USP24 expression in MASH patients might also be correlated with a high risk of HCC (Suppl. Figure 18).
[IMAGE OMITTED: SEE PDF]
Discussion
Functional disruption of USP24 and targeting USP24 by USP24-i-101 reduces body weight in mice, inhibits lipogenesis through decreased PKA-Cα and p300, thereby suppressing CREB phosphorylation, leading inhibition of adipogenesis. USP24-i-101 decreases FFA to inhibit USP24 expression, thereby impeding NF-κB and TGF-β signaling pathways, leading to the suppression of inflammation and fibrosis during MASH progression (Fig. 8J).
Most research on USP24 focuses on cancer progression and neurodegenerative diseases [4]. This study first demonstrated that USP24 is involved in lipogenesis both in vitro and in vivo. We utilized USP24C1695A mice and USP24-i-101-targeting USP24 mice to investigate the role of USP24 in visceral and liver fat accumulation, as well as using adipocytes and primary hepatocytes to study the molecular mechanism by which USP24 regulates lipogenesis. Previous studies have shown that USP22 stabilizes PPARγ in hepatocellular carcinoma to regulate lipidome accumulation. Previous studies indicated that the PKA/CREB/C/EBPβ/PPARγ axis is directly involved in adipocyte differentiation [35]. Here, we found that USP24 was significantly increased during the early stage of adipocyte differentiation, making it an optimal target for USP24-i-101 intervention. Additionally, we discovered that PKA activation is involved in USP24 upregulation. Second, USP24 upregulation not only increases CREB1 phosphorylation but also stabilizes p300, which can be recruited into CREB to enhance its transcriptional activity in regulating the expression of various lipogenesis-related genes [36]. Previous studies have indicated that several kinases, including PKA, Akt and MAPK, are involved in the phosphorylation [37]. In this study, PKA-mediated USP24 upregulation may stabilize these kinases to increase CREB phosphorylation. Furthermore, previous studies have also shown that CREB1 can be acetylated, thereby recruiting p300/CBP to enhance the transcriptional activity of CREB1. Our previous studies also indicated that p300 is a substrate of USP24 [31, 38].
Previous research has shown that autophagy is involved in lipogenesis [16]. Our recent findings also demonstrated that USP24-i-101 significantly induces autophagy. During adipocyte differentiation, LC3B levels decrease but increase under USP24-i-101 treatment. We attempted to investigate the role of autophagy in adipocyte differentiation by treating with the autophagy inhibitor bafilomycin A1 and the autophagy activator rapamycin. Both activation and inhibition of autophagy blocked adipocyte differentiation, suggesting that autophagy activation and inhibition are required at specific stages of adipocyte differentiation. According to previous studies, autophagy is induced in response to obesity [38]. USP24-i-101 targeting USP24-induced autophagy may also be involved in obesity. The underlying mechanisms require further investigation. In this study, USP24-i-101 targeting USP24 not only inhibited lipid droplet accumulation in the liver but also significantly reduced subcutaneous (SAT) fat and visceral (VAT) body fat around organs, including inguinal WAT (iWAT) and epididymal (eWAT). Previous studies have indicated that visceral fat is associated with several diseases such as cardiovascular diseases [39] and inflammation-related diseases [40]. Herein, we provided in vivo data supporting that treating with USP24-i-101 during the transition from nonobese to obese by HFD or after obesity can inhibit SAT and VAT body fat accumulation. Based on previous studies, VAT adipocytes are more metabolically active and more sensitive to insulin resistance than SAT adipocytes [41]. Whether USP24 is also involved in the trans-differentiation of white adipocytes into brown adipocytes needs to be studied in the future.
Previous research has suggested that lipogenesis and autophagy are involved in several diseases, including MASH, diabetes, cardiovascular disease, and neurodegenerative diseases [16, 42, 43]. Several studies have shown that single nucleotide polymorphisms (SNPs) of USP24 are correlated with Parkinson’s disease [44]. Moreover, recent findings indicate that USP24 is a negative regulator of autophagy. Knockdown of USP24 can improve neurite extension or maintenance in aged iPSC-derived dopaminergic neurons [4], implying that USP24-i-101 targeting USP24 may be effective in inhibiting neurodegenerative diseases. Further related experiments will be conducted to study this issue in the future. Additionally, many studies support that lipogenesis is the crucial factor causing MASH and diabetes [45]. In this study, we discovered that the knockout of USP24 reduced inflammation and fibrosis in the liver, suggesting that USP24-i-101 may inhibit MASH. We also used ultrasound and MRI to study the signal of fat accumulation inside mice and found that fat accumulation was significantly inhibited in USP24C1695A mice or those treated with USP24-i-101 targeting USP24. However, 0.5–1.0 μM USP24-i-101 was effective in HFD-fed male mice, while 10 μM USP24-i-101 was effective in HFD-fed female mice, suggesting that estrogen might be involved in fat accumulation in female mice. Many studies have reported a relationship between estrogen and obesity in women [46]. Most metabolism-related studies used male mice to avoid interference from estrogen. However, we used both male and female mice to study the role of USP24 in lipogenesis. Indeed, the effect of USP24-i-101 targeting USP24 on male and female mice is different. Additionally, blood glucose levels were slightly decreased in USP24C1695A mice and those treated with USP24-i-101 targeting USP24. When we checked insulin expression, insulin expression was still increased in HFD-fed mice, implying that insulin tolerance has not yet been achieved. To study the effect of USP24-i-101 on diabetes, an intact type 2 diabetes animal model needs to be established in the future.
Most of the lipogenesis and metabolism-related genes were downregulated in USP24C1695A mice and those treated with USP2-i-101 targeting USP24. Additionally, many other genes were also regulated. Genes involved in ribonucleotide metabolic processes were downregulated by USP24-i-101 treatment; these processes include the chemical reactions and pathways involving a ribonucleotide [47]. Recent studies have indicated that inhibiting proline biosynthesis and lipogenesis synergistically suppressed tumor growth [48], implying that USP24-i-101 targeting USP24 may be effective in inhibiting cancer progression. Other types of genes involved in lysosomes and lytic vacuoles were also downregulated in USP24C1695A mice. The lysosome is a metabolic center. Recent evidence indicates that mTORC1 recruitment to the lysosome responds to nutrient-replete states [49]. The other mechanism related to lysosome-mediated metabolism involves SREBPs, which are provided by lipin1 [50]. In mammals, lipin1 is an mTORC1 substrate that suppresses the activity of the SREBPs. Inactivation of mTORC1 protects mice from lipid accumulation in the liver caused by a HFD, but this protective effect was largely abolished upon knockdown of lipin1 [50]. In this study, several lipin1-like genes, such as Mup3, Mup15, Mup16, Mup1 and Mup12, were upregulated under USP24-i-101 treatment, suggesting that USP24 may regulate lipogenesis by regulating major urinary protein (Mup) gene expression. Previous studies have shown that the upregulation of Mups inhibits hepatic steatosis [33], suggesting that targeting USP24 with USP24-i-101 may be beneficial for preventing hepatic steatosis. Another study also indicated that MUP1 was regulated by nutritional and metabolic signals. The expression of hepatic MUP1 was significantly decreased in both genetic and dietary fat-induced type 2 diabetes, implying that a reduction in MUP1 contributes to hyperglycemia, insulin resistance, and glucose intolerance [34]. Additionally, previous studies have revealed that cytochrome P450 genes, including the Cyps genes Cyp2b10, Cyp2c29, Cyp3a11 and Cyp3a16, were increased, and Hsd3b2 and Hsd3b5 were decreased during lipogenesis [51]. In this study, we found that Cyp3a11, Cyp4a10, Cyp2a22, Cyp26b1 and Cyp2b9 were downregulated, and Hsd3b5 was upregulated in mice treated with USP24-i-101 targeting USP24, suggesting that USP24-i-101 plays a role in preventing lipogenesis. Apart from the role of USP24 in adipogenesis, this study also clarifies the effect of USP24 on inflammation and fibrosis. In vivo studies showed that many inflammation- and fibrosis-related pathways were down regulated by USP24 knockout. In vitro studies found that numerous inflammation- and fibrosis-related genes were downregulated in primary hepatocytes and hepatic stellate cells. Previous research indicated that NF-κB and JNK-State pathways positively regulate inflammation and fibrosis during MAFLD’s progression [52]. This study discovered that NF-κB was dramatically decreased in USP24 knockout mice, USP24-i-101-treated cells, and USP24 knockdown cells, thereby inhibiting NF-κB activation and leading inhibition of inflammation. Our previous study also revealed that p300 is one of the substrate of USP24 to regulate NF-κB expression in lung cancer cells [53]. Therefore, targeting USP24 with USP24-i-101 may destabilize p300 to decrease NF-κB expression, subsequently inhibiting inflammation and leading to fibrosis during MAFLDs progression.
In this study, the β-oxidation of fatty acids and lipogenesis were concurrently suppressed in USP24C1695A mice. PPARγ is involved in lipogenesis and β-oxidation and is inhibited by USP24-i-101 treatment [54]. However, other factors such as PPARα and PPARδ, are also related to β-oxidation. However, the effect of USP24-i-101 treatment on the levels of PPARα and PPARδ remains unknown and needs to be addressed in the future [54]. Additionally, we found that the level of secreted phosphoprotein 1 (SPP1), which is involved in the progression of many cancers, was dramatically decreased in USP24C1695A mice. However, the role of SPP1 in lipogenesis is unclear and requires further clarification. Fatty acid β-oxidation is the process by which fatty acids are broken down to generate acetyl-CoA, which subsequently enters the citric acid cycle to produce energy [55]. β-oxidation occurs in the matrix of mitochondria, and lipogenesis occurs in the cytoplasm of liver cells and adipocytes [56]. Furthermore, the antigen processing and presentation genes were downregulated in USP24C1695A mice, implying that USP24 might be involved in the immune response. How USP24 regulates the immune system will be studied in the future. Additionally, in this study, targeting USP24 showed consistent effect on lipogenesis in primary hepatocytes and in vivo but not in cancer cell lines, HCC cells, and Huh7 cells. This implies that the regulation of lipogenesis changes during cellular immortalization and tumorigenesis, which will be clarified in the future. Finally, other disease models, such as type 2 diabetes and neurodegenerative diseases, will be used to study the effect of targeting USP24 with USP24-i-101 on the inhibition these diseases.
Conclusion
USP24 upregulation stabilizes PKA-Cα and p300 to activate related pathways involved in lipid metabolism, inflammation, and fibrosis, making it a potential therapeutic target for metabolic disorders such as obesity and Metabolic Associated Fatty Liver Disease (MAFLD). Targeting USP24 with USP24-i-101 can alleviated MAFLD through the modulation of key signaling pathways involved in lipogenesis, inflammation, and fibrosis.
Availability of data and materials
All data generated or analyzed during this study are included in this published article and its supplementary information files.
Young M-J, Hsu K-C, Lin TE, Chang W-C, Hung J-J. The role of ubiquitin-specific peptidases in cancer progression. J Biomed Sci. 2019;26:42.
Cruz L, Soares P, Correia M. Ubiquitin-specific proteases: players in cancer cellular processes. Pharmaceuticals (Basel). 2021;14(9):848.
Dewson G, Eichhorn PJA, Komander D. Deubiquitinases in cancer. Nat Rev Cancer. 2023;23:842–62.
Thayer JA, et al. The PARK10 gene USP24 is a negative regulator of autophagy and ULK1 protein stability. Autophagy. 2020;16:140–53.
Zhao B, et al. Association analysis of single-nucleotide polymorphisms of USP24 and USP40 with Parkinson’s disease in the Han Chinese population. Eur Neurol. 2012;68:181–4.
Wang YC, et al. Variants of ubiquitin-specific peptidase 24 play a crucial role in lung cancer malignancy. Oncogene. 2016;35:3669–80.
Wang SA, et al. USP24 promotes drug resistance during cancer therapy. Cell Death Differ. 2021;28:2690–707.
Young M-J, et al. USP24-i-101 targeting of USP24 activates autophagy to inhibit drug resistance acquired during cancer therapy. Cell Death Differ. 2024;31:574–91.
Song Z, Xiaoli AM, Yang F. Regulation and metabolic significance of de novo lipogenesis in adipose tissues. Nutrients. 2018;10(10):1383.
Olzmann JA, Carvalho P. Dynamics and functions of lipid droplets. Nat Rev Mol Cell Biol. 2019;20:137–55.
Eberlé D, Hegarty B, Bossard P, Ferré P, Foufelle F. SREBP transcription factors: master regulators of lipid homeostasis. Biochimie. 2004;86:839–48.
Guri Y, et al. mTORC2 promotes tumorigenesis via lipid synthesis. Cancer Cell. 2017;32:807-823.e812.
Xu S, Zhang X, Liu P. Lipid droplet proteins and metabolic diseases. Biochim Biophys Acta Mol Basis Dis. 2018;1864:1968–83.
Cruz ALS, Barreto EA, Fazolini NPB, Viola JPB, Bozza PT. Lipid droplets: platforms with multiple functions in cancer hallmarks. Cell Death Dis. 2020;11:105.
Nagarajan SR, Butler LM, Hoy AJ. The diversity and breadth of cancer cell fatty acid metabolism. Cancer Metab. 2021;9:2.
Xie Y, Li J, Kang R, Tang D. Interplay between lipid metabolism and autophagy. Front Cell Dev Biol. 2020;8:431.
Wang X, et al. Recent advances in adipose tissue dysfunction and its role in the pathogenesis of non-alcoholic fatty liver disease. Cells. 2021;10(12):3300.
Esler WP, Cohen DE. Pharmacologic inhibition of lipogenesis for the treatment of NAFLD. J Hepatol. 2024;80:362–77.
Hamm JK, el Jack AK, Pilch PF, Farmer SR. Role of PPAR gamma in regulating adipocyte differentiation and insulin-responsive glucose uptake. Ann N Y Acad Sci. 1999;892:134–45.
Gregoire FM, Smas CM, Sul HS. Understanding adipocyte differentiation. Physiol Rev. 1998;78:783–809.
Awaad AK, et al. The role of hepatic transcription factor cAMP response element-binding protein (CREB) during the development of experimental nonalcoholic fatty liver: a biochemical and histomorphometric study. Egypt Liver J. 2020;10:36.
Paz JC, et al. Combinatorial regulation of a signal-dependent activator by phosphorylation and acetylation. Proc Natl Acad Sci U S A. 2014;111:17116–21.
Powell EE, Wong VW, Rinella M. Non-alcoholic fatty liver disease. Lancet. 2021;397:2212–24.
Hung CY, et al. Sp1 in astrocyte is important for neurite outgrowth and synaptogenesis. Mol Neurobiol. 2020;57:261–77.
Charni-Natan M, Goldstein I. Protocol for primary mouse hepatocyte isolation. STAR Protoc. 2020;1:100086.
Pettersen EF, et al. UCSF Chimera–a visualization system for exploratory research and analysis. J Comput Chem. 2004;25:1605–12.
Berman HM, et al. The protein data bank. Nucleic Acids Res. 2000;28:235–42.
Pierce BG, Hourai Y, Weng Z. Accelerating protein docking in ZDOCK using an advanced 3D convolution library. PLoS ONE. 2011;6:e24657.
Biovia, D.S. Discovery Studio, Version 21.1.0. San Diego: Dassault Systèmes (2021).
Zhang L, et al. The deubiquitinating enzyme USP24 is a regulator of the UV damage response. Cell Rep. 2015;10:140–7.
Wang YC, et al. USP24 induces IL-6 in tumor-associated microenvironment by stabilizing p300 and β-TrCP and promotes cancer malignancy. Nat Commun. 2018;9:3996.
Rinaldi L, et al. Feedback inhibition of cAMP effector signaling by a chaperone-assisted ubiquitin system. Nat Commun. 2019;10:2572.
Greve S, et al. The major urinary protein gene cluster knockout mouse as a novel model for translational metabolism research. Sci Rep. 2022;12:13161.
Zhou Y, Jiang L, Rui L. Identification of MUP1 as a regulator for glucose and lipid metabolism in mice. J Biol Chem. 2009;284:11152–9.
Cristancho AG, Lazar MA. Forming functional fat: a growing understanding of adipocyte differentiation. Nat Rev Mol Cell Biol. 2011;12:722–34.
Zhou F, et al. Selective inhibition of CBP/p300 HAT by A-485 results in suppression of lipogenesis and hepatic gluconeogenesis. Cell Death Dis. 2020;11:745.
Alberini CM. Transcription factors in long-term memory and synaptic plasticity. Physiol Rev. 2009;89:121–45.
Tao T, Xu H. Autophagy and obesity and diabetes. Adv Exp Med Biol. 2020;1207:445–61.
Powell-Wiley TM, et al. Obesity and cardiovascular disease: a scientific statement from the American Heart Association. Circulation. 2021;143:e984–1010.
Kawai T, Autieri MV, Scalia R. Adipose tissue inflammation and metabolic dysfunction in obesity. Am J Physiol Cell Physiol. 2021;320:C375-c391.
Mittal B. Subcutaneous adipose tissue & visceral adipose tissue. Indian J Med Res. 2019;149:571–3.
Yang M, Zhang Y, Ren J. Autophagic regulation of lipid homeostasis in cardiometabolic syndrome. Front Cardiovasc Med. 2018;5:38.
Zhang L, et al. S100A11 promotes liver steatosis via FOXO1-mediated autophagy and lipogenesis. Cell Mol Gastroenterol Hepatol. 2021;11:697–724.
Li Y, et al. Genetic evidence for ubiquitin-specific proteases USP24 and USP40 as candidate genes for late-onset Parkinson disease. Hum Mutat. 2006;27:1017–23.
Lawitz EJ, et al. Elevated de novo lipogenesis, slow liver triglyceride turnover, and clinical correlations in nonalcoholic steatohepatitis patients. J Lipid Res. 2022;63:100250.
Lizcano F, Guzmán G. Estrogen deficiency and the origin of obesity during menopause. Biomed Res Int. 2014;2014:757461.
Elledge SJ, Zhou Z, Allen JB. Ribnucleotide reductase: regulation, regulation, regulation. Trends Biochem Sci. 1992;17(3):119–23.
Liu M, et al. Inhibiting both proline biosynthesis and lipogenesis synergistically suppresses tumor growth. J Exp Med. 2020;217(3):e20191226.
Rabanal-Ruiz Y, Korolchuk VI. mTORC1 and nutrient homeostasis: the central role of the lysosome. Int J Mol Sci. 2018;19(3):818.
Peterson TR, et al. mTOR complex 1 regulates lipin 1 localization to control the SREBP pathway. Cell. 2011;146:408–20.
Wang XJ, Chamberlain M, Vassieva O, Henderson CJ, Wolf CR. Relationship between hepatic phenotype and changes in gene expression in cytochrome P450 reductase (POR) null mice. Biochem J. 2005;388:857–67.
Luedde T, Schwabe RF. NF-kappaB in the liver–linking injury, fibrosis and hepatocellular carcinoma. Nat Rev Gastroenterol Hepatol. 2011;8:108–18.
Wang SA, Young MJ, Jeng WY, Liu CY, Hung JJ. USP24 stabilizes bromodomain containing proteins to promote lung cancer malignancy. Sci Rep. 2020;10:20870.
Souza-Mello V. Peroxisome proliferator-activated receptors as targets to treat non-alcoholic fatty liver disease. World J Hepatol. 2015;7:1012–9.
Houten SM, Wanders RJ. A general introduction to the biochemistry of mitochondrial fatty acid β-oxidation. J Inherit Metab Dis. 2010;33:469–77.
Batchuluun B, Pinkosky SL, Steinberg GR. Lipogenesis inhibitors: therapeutic opportunities and challenges. Nat Rev Drug Disc. 2022;21:283–305.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
© 2025. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Abstract
Background
Ubiquitin-specific peptidase 24 (USP24), a deubiquitinating enzyme, regulates protein stability by removing ubiquitin. This study investigates the role of UPS24 in lipid metabolism, inflammation, and fibrosis. It also explores the effect of targeting USP24 on metabolic disorders, focusing on high-fat diet (HFD)-induced obesity and liver diseases.
Methods
This study utilized CRISPR/Cas9 to create functional knockout mice (USP24C1695A) and treated HFD-fed mice with USP24 inhibitor (USP24-i-101). The effects of USP24 inhibition or knockout on 3T3-L1 derived adipocytes, primary hepatocytes, hepatic stellate cells, and murine hepatocyte cell line AML12 (alpha mouse liver 12) cells were assessed with RNA-sequencing. Molecular mechanisms and the interaction between USP24 and PKA-Cα were studied with co-immunoprecipitation. Downstream signaling pathways involving CREB, SREBP1, PPARγ, and C/EBPβ, as well as USP24 role in liver inflammation and fibrosis, were studied using western blot and real-time PCR. Clinical and animal tissue samples were examined with immunohistochemistry to identify the correlations between USP24 and metabolic-associated liver diseases.
Results
Knockout or inhibition of USP24 reduced body weight, lipid accumulation, inflammation, and fibrosis in HFD-fed mice. The expression of genes related to lipogenesis, inflammation, and fibrosis was downregulated in USP24C1695A mice and those treated with USP24 inhibitor (USP24-i-101). USP24 inhibition decreased lipid droplet accumulation in adipocytes and hepatocytes, suppressed inflammation in hepatocytes and AML12 cells, and reduced fibrosis in hepatic stellate cells. Mechanistically, USP24 expression was upregulated by PKA activation during adipocyte differentiation, leading to increased PKA-Cα stability and CREB phosphorylation, which promoted lipogenic gene expression. Free fatty acids (FFA) increased USP24 expression, activating NF-κB and TGFβ pathways to induce inflammation (Cox2) and fibrosis (α-SMA). USP24 was highly expressed in patients with metabolic dysfunction-associated steatohepatitis (MASH) and correlated with Cox2 and α-SMA levels.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer





