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The Novel Tetra-specific Drug C-192, Conjugated Using UniStac, Alleviates Non-alcoholic Steatosis Hepatitis in MCD Diet-induced Mouse Model

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Abstract
Non-alcoholic steatohepatitis (NASH) is a complex disease resulting from chronic liver injury associated with obesity, type 2 diabetes, and inflammation. Recently, multi-target drugs have been proposed to treat complex diseases including NASH; however, their manufacturing pro-cesses remain time- and cost-intensive and inefficient. Therefore, to overcome these limitations, we developed UniStac, a novel enzyme-mediated conjugation platform for multi-specific drug development. UniStac demonstrated high conjugation yields, optimal thermal stabilities, and robust biological activities. Through such platform, we designed a tetra-specific compound, C-192, targeting Glucagon-like peptide 1 (GLP-1), Glucagon (GCG), Fibroblast growth factor 21 (FGF21), and Interleukin-1 receptor antagonist (IL-1RA) simultaneously for the treatment of NASH. The biological activity and treatment efficacy of C-192 were confirmed both in vitro and in vivo using a methionine–choline-deficient (MCD) diet-induced mouse model. C-192 exhibited profound therapeutic efficacies compared to conventional drugs, including liraglutide and dulaglutide. C-192 significantly improved alanine transaminase levels, triglyceride accumula-tion, and the non-alcoholic fatty liver disease activity score. Our results collectively provide clin-ical feasibility of UniStac for developing multi-specific drugs, and C-192 as an innovative thera-peutic opportunity for severe NASH, as it exerts synergistic effects across multiple targets.
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Subject: Chemistry and Materials Science  -   Biomaterials

1. Introduction

Multi-specific drugs have garnered the attention of the scientific and clinical communities as promising therapeutic strategies owing to their ability to target complex structures, overcoming the limitations of monoclonal antibodies [1]. Complex diseases, characterized by multifaceted nature, often involve the simultaneous activation of various disease mediators and receptors that are interconnected. Therefore, the development of multi-specific drugs, which can target various molecules, has emerged as a promising therapeutic approach, shown by recent advancements in combination therapy and multi-specific antibodies (MsAbs) [2,3]. Combination therapy entails the administration of multiple compounds concurrently to achieve synergistic therapeutic effects. Although such an approach holds great potential for targeting multiple signaling networks at the same time, it is hampered by several limitations, including increased risk of toxicity and adverse side effects. Furthermore, determining the optimal combination of therapies and appropriate dosing regimens could pose significant challenges [4-6]. In contrast, bispecific antibodies (BsAbs) exhibit a unique ability to bind to two different antigens or epitopes simultaneously, enabling the blockade of multiple disease-related pathways. However, the production of BsAbs presents severe challenges due to their complex structural requirements, increased costs, and the potential for heightened immunogenicity, which can trigger adverse immune reactions [7-14].
Non-alcoholic fatty liver disease (NAFLD) accounts for one of the most common liver diseases, in which its incidence has been increasing rapidly worldwide [15]. Non-alcoholic steatohepatitis (NASH), a more aggressive form of NAFLD, is strongly linked to obesity, dyslipidemia, and type 2 diabetes. NASH is a complex disease caused by the accumulation of fat in the liver, which subsequently leads to inflammation and cell damage. NASH often progresses to cirrhosis and liver failure, and there is currently no approved medication for its treatment. Therefore, given the multifaceted characteristics of liver diseases, it is essential to develop drugs that can comprehensively target hepatic metabolism and provide multiple benefits such as improving fatty liver, inflammation, and fibrosis [16,17]. In this study, we aim to propose an innovative approach by simultaneously suppressing several molecular targets that are being therapeutically exploited to improve the treatment of NASH. Glucagon-like peptide-1 (GLP-1) belongs to a class of incretin peptides that enhance glucose-stimulated insulin secretion and reduce food intake [18]. Its analogs are widely being used for pharmacological therapy of type 2 diabetes and related diseases. Liraglutide, an analog of GLP-1, has been approved by the Food and Drug Administration (FDA) and is currently used as a weight-loss medication [19,20,21,22]. Recently, a treatment strategy using a GLP-1-based multi-target drug has been reported to improve obesity and exhibit higher antidiabetic efficacy compared to GLP-1 receptor agonists alone [23]. Glucagon (GCG) is a peptide hormone secreted by the islet α cells, contributing to the maintenance of euglycemia in humans. Elevated fasting plasma glucose is a biochemical hallmark of diabetes. GCG also increases hepatic glucose production during fasting, which is often associated with NASH progression due to inflammation [24,25]. Moreover, a combination of GLP-1 receptor agonists with GCG exhibits synergistic effects in alleviating weight loss, hepatic inflammation, and fibrosis [26,27,28,29,30,31]. Fibroblast growth factor 21 (FGF21) is secreted primarily in the liver and regulates glucose levels and lipid metabolism. FGF21 has been speculated to be highly effective in alleviating insulin resistance and improving the function and quality of metabolism damage-related cells. In previous animal studies, FGF21 was found to be essential for the weight control effect of glucagon agonists and attenuated hepatic steatosis, inflammation, and fibrosis in a NASH mouse model [32,33,34,35,36,37,38]. Additionally, a triple agonist targeting GLP-1, glucose-dependent insulinotropic polypeptide (GIP), and GCG receptor (GCGR) promoted considerable weight loss, accompanied by increased plasma levels of FGF21 due to GCGR signaling [39,40,41]. The interleukin (IL)-1 family of cytokines is one of the main drivers of inflammation in NASH [42,43,44]. Upon activation, these proinflammatory cytokines can disrupt insulin sensitivity and lipid signaling pathways. Among them, IL-1β plays a crucial role in liver diseases, involved in all essential stages, from liver inflammation to liver fibrosis [45]. Interleukin-1 receptor antagonist (IL-1RA) is a naturally occurring protein that preferentially binds to the IL-1 receptor. Moreover, IL-1β is the main target of IL-1RA given its functional role in inducing the NLRP3 inflammasome pathway, contributing to chronic inflammation and fibrotic response in the liver [46,47,48,49]. Therefore, we speculated that IL-1RA could be further employed as a therapeutic target for the development of a multi-target drug in eliciting synergistic effects in inhibiting liver inflammation.
In the present study, to overcome the limitations of traditional multi-target platform, we developed UniStac, a conjugation system based on the ubiquitination mechanism involving three enzymes, namely, ubiquitin-like modifier activating enzyme 1 (UBA1), ubiquitin-conjugating enzyme E2 N (UBC13), and ubiquitin-conjugating enzyme variant MMS2 (MMS2) [50,51]. UniStac produces isopeptide bonds that generate a Y-shape branched molecule [52-54]. Moreover, compared to BsAb or MsAb platforms, UniStac provides several advantages, primarily the elimination of the homodimer formation and the Fc-heterodimerization optimization steps. And we used the UniStac platform to generate a multi-specific drug candidate, C-192 that binds to GLP-1, GCG, FGF21, and IL-1RA simultaneously. We assessed the pharmacological activity of C-192 using in vitro cell-based assays. Furthermore, the anti-steatosis and anti-inflammatory effects of C-192 were investigated in methionine–choline-deficient (MCD) diet mouse models with profound efficacies.

2. Results

2.1. Conjugation of Multiple Targets Using a Novel Enzyme-mediated Platform—UniStac

We established an enzyme-mediated platform approach for the generation of multi-specific target molecules. The UniStac platform employs the ubiquitin conjugation system to generate Y-shaped antibody-like molecules. The main feature of the UniStac platform is its ability to independently produce two proteins (acceptor and donor) and combine them through an enzyme-mediated reaction to yield a tri- or tetra-specific target drug. The UniStac platform uses acceptor molecules with acceptor ubiquitin (C-terminus blocked for activation and only one surface lysine [Lys] available for conjugation) and donor molecules with donor ubiquitin (C-terminus available for ubiquitin activation and ablation of all Lys residues) [55,56]. In contrast to previous enzymes classes such as sortases (head-to-tail), the ubiquitin enzymes (UBA1, UBC13, and MMS2) form an isopeptide bond (branched) and the enzyme-mediated reaction results in a Y-shaped antibody-like protein (Figure 1A) [57,58]. Under mild conditions (pH 7.0, 25 ℃), UniStac-mediated protein conjugation achieves >95% yield, regardless of the modalities. The platform accommodates various carriers, including albumin or the Fc region, and diverse target modalities such as the variable domain of heavy-chain antibodies (VHH), enzymes, and single-chain variable fragments (scFvs) with equal conjugation efficiency (Figure 1B). This enables streamlined multi-target drug development. Therefore, by altering the acceptor and donor targets, a new triple-targeted compound can be developed, generating multi-specific molecules with flexible valency via a straightforward process (Figure S1).

2.2. Development of the Novel Tetra-specific Drug C-192

We improved the physical property and cleavage resistance of the FGF21, GLP1, and GCG targets by engineering their sequences [27,34,59]. We fused GLP1/GCG and FGF21 to the N- and C-terminus of ubiquitin–albumin, respectively, to generate an acceptor molecule expressed in mammalian cells. For the donor molecule, Escherichia coli cells were used to produce IL-1RA and its amino acid sequence was fused to the N-terminus of ubiquitin. The acceptor and donor proteins were conjugated using the enzyme-mediated UBA1/UBC13/MMS2 conjugation system, UniStac, via Lys63-linked diubiquitin to form a C-192 molecule (Figure 2A) [51]. The acceptor, donor, UBA1, UBC13, and MMS2 were combined in a 1:1.3:0.1:0.5:0.5 ratio, and ATP was added to initiate the conjugation reaction. To confirm site-specific ubiquitination within the C-192 molecule, we performed liquid chromatography with tandem mass spectrometry (LC–MS/MS) assay, which revealed that GlyGly (114.04 Da) modification occurred only on a single Lys residue of the acceptor ubiquitin. As shown in Figure 2B, the ubiquitination occurred on the Lys63 residue of the peptide (55-TLSDYNIQKESTLHLVLRPR-74), carrying the engineered acceptor ubiquitin. The Y11 fragment, with a mass of 1320.77 Da, corresponds to the sequence ESTLHLVLRPR-74 following the modified Lys residue, and the Y12 fragment, with a mass of 1562.91 Da, corresponds to the sequence K(-GG)ESTLHLVLRPR-74, which includes the ubiquitinated Lys residue. The difference of 242.136 Da in mass between Lys (146.2 Da) and GlyGly modification (114.04 Da), excluding the H2O mass, was confirmed as the mass difference between Y11 and Y12 fragments, indicating ubiquitination of the Lys63 residue.
The conjugation yield between the acceptor and donor molecules was measured at >95% through sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) and microcapillary electrophoresis-sodium dodecyl sulfate (CE-SDS). We confirmed the absence of both acceptor and donor bands, and the resulting C-192 band was observed at the expected molecular weight of 132.4 kDa, whereas the enzyme bands remained relatively consistent. Micro CE-SDS analysis revealed that UniStac conjugation was highly efficient with >95% yield of C-192 (Figure 2C). Next, we performed differential scanning fluorimetry (DSF) to confirm the thermal stability of C-192. The midpoint temperature of the thermal unfolding transition (Tm) was measured at 75℃. Additionally, the aggregation onset temperature (Tagg) of C-192 at the given formulation was 72℃ (Figure 2D).

2.3. In Vitro Potencies of C-192 on target molecules

Surface plasmon resonance (SPR) analysis was used to confirm the lack of interference among target molecules when introduced to the UniStac platform (Table 1). We further investigated whether the vertex of the Y-shaped structure interferes with one another, suggesting the preservation of biological activity upon sequential addition of each molecular target to the UniStac platform. The activities of GLP-1 and GCG were evaluated using the cAMP accumulation assay. We confirmed that both GLP-1 (EC50 = 54 pM) and GCG (EC50 = 75.1 pM) retained their molecular activities when combined within C-192 (Figure 3A and 3B). The EC50 of FGF21 was 32.3 nM as per the FGFR1/βKlotho (KLB) functional assay. Next, we investigated the inhibitory effects of IL-1RA on the nuclear factor kappa B (NF-κB)-mediated signaling activity through NF-κB reporter assay. The experimental results revealed an IC50 value of 483 pM. Moreover, we evaluated the pharmacological effect of UniStac conjugation on the biological activity of mono-, double-, and triple-conjugated molecules and observed that conjugation did not attenuate their activities, as demonstrated by the consistent biological activities observed in all conjugated forms.

2.4. Downstream regulatory mechanism of Tetra-specific Targets in C-192

To examine the inhibitory effect of C-192 on each target-related molecule, we performed immunoblot analysis of essential proteins involved in corresponding pathways. C-192 treatment resulted in a dose-dependent increase in the phosphorylation activity of AKT, a downstream protein of both GLP-1 and GCG (Figure 4A and 4B). C-192 also promoted hyperphosphorylation of ERK, a key downstream molecule of FGF21 (Figure 4C). In the case of IL-1RA, the intracellular inflammatory response is linked to NF-κB activation through the mitogen-activated protein kinase (MAPK) pathway. Major encoding proteins of the MAPK signaling pathway consist of jun N-terminal kinase (JNK) and p38 kinase, which are activated by lipopolysaccharide (LPS) or cytokines and subsequently lead to NF-κB activation [44,45]. In the recombinant IL-1β-induced inflammatory response of the HepG2 cells, the phosphorylation activities of p38, JNK, and NF-κB were coherently suppressed in a dose-dependent manner (Figure 4D). These results collectively suggest that the UniStac conjugation process does not interfere with the molecular activities of its target proteins and provides innovative therapeutic applications in regulating target signaling pathways.

2.5. Pharmacokinetic Profile of C-192 and its Therapeutic Effects on MCD Diet-induced NASH Mouse Model

To interrogate the pharmacokinetic profile of C-192, we generated human albumin serum (HAS)-binding UniStac and performed single-dose experiments in BALB/c mice and cynomolgus monkeys. Non-compartmental analysis (Table 2) revealed that C-192 was suitable for preclinical testing in various animal models and can be provided as a multifunctional agonist for therapeutic purposes that can be administered once a week. To confirm the therapeutic efficacy of C-192 in the treatment of NASH, we established MCD diet-induced mouse models. MCD diet-fed mice demonstrated significantly higher levels of serum alanine transaminase (ALT) and lipid accumulation compared to the control mice, indicative of hepatic steatosis and inflammation. Notably, the C-192 treatment resulted in a dose-dependent reduction in serum ALT and triglyceride levels, compared with the reference drugs liraglutide and dulaglutide (Figure 5A and 5B). Additionally, histopathological analysis revealed marked improvements in liver steatosis, inflammation, and NAFLD activity scores (NAS) (Figure 5C,D). These results underscore C-192 as a potential therapeutic candidate for hepatic steatosis and inflammation in an MCD diet-induced NASH.

3. Discussion

The development of multi-specific drugs targeting various cytokines and hormones presents several challenges. They consist of complex structures associated with inefficient production processes as well as biophysical interferences, stemming from their large molecular sizes [10,60,61]. However, multi-specific drugs provide enhanced therapeutic efficacies against multi-target diseases, underscoring the need for innovative solutions to overcome the existing challenges [62]. Therefore, in the present study, we developed UniStac, a novel enzyme-mediated protein–protein conjugation platform to facilitate the generation of multi-specific molecules [50,51,63,64]. The UniStac platform offers several advantages, including a highly site-specific conjugation process that minimizes undesired homodimer formation, ensuring the preservation of the intended molecular structures. The manufacturing process using UniStac has proven to be efficient in development time, cost and high conjugation yield. More importantly, the conjugation of ligands did not interfere with their original biological functions, further distinguishing the clinical utility of the UniStac platform for multi-specific drug development.
As its first product, we designed C-192, which simultaneously targets GLP-1, GCG, FGF21, and IL-1RA for the treatment of NASH. GLP-1 is commonly used to treat type 2 diabetes and related diseases [20]. We speculate that combining GLP-1 with GCG, FGF21, and IL-1RA can further enhance the therapeutic efficacy of its treatment. While GCG helps with both weight loss and inflammation [25,29], FGF21 improves metabolism activity and liver health [33,35]. Moreover, IL-1RA inhibits liver inflammation by blocking IL-1β and inflammasome pathways, which have been speculated to be the major driver of various liver diseases [45]. Among the various pathological mechanisms involved in NASH development, we focused on chronic inflammation and NLRP3-inflammasome, as they constitute a central role in fibrogenesis [49]. A previous study has highlighted that IL-1RA could be more effective in treating patients with severe fibrotic NASH compared to the current standard treatment [26]. The functional evaluation of the UniStac conjugation platform on the biological activity of C-192 revealed unprecedented insights for the development of multi-target drugs. Both GLP-1 and GCG activate the AKT pathway, which results in various cellular responses, including enhanced glucose uptake, insulin secretion, and inhibition of apoptosis. Additionally, FGF21 activates ERK, leading to diverse cellular responses such as cell proliferation, differentiation, and survival. We investigated the therapeutic effect of C-192 on the phosphorylation activities of p38, JNK, and NF-κB in response to recombinant IL-1β-induced inflammatory response in HepG2 cells and observed a dose-dependent reduction. The preservation of biological activities during the conjugation process is the apogee of this platform, offering significant advantages over traditional drug development and the possibility of improved therapeutic outcomes for complex diseases. C-192, despite its complex structure, demonstrated stable physical properties and acceptable pharmacokinetic profiles [65], highlighting the clinical feasibility of UniStac. C-192 presents an ideal PK profile, making it suitable for weekly administration in clinical practice. The biological activity of each molecular target on C192 was efficiently preserved after conjugation. This may be attributable to the sufficient space within the diubiquitin linker—a useful feature of the UniStac platform.
In the MCD diet-induced steatohepatitis mouse model, C-192 was highly effective in treating hepatic steatosis and inflammation-associated NASH as all of the mice exhibited complete recovery. Furthermore, C-192 demonstrated superior treatment effects compared to reference GLP-1R agonists, including liraglutide and dulaglutide. Further studies are warranted to elucidate the synergistic impact and mechanistic process of GLP-1/GCG, FGF21, and IL-1RA in C-192. Moreover, its therapeutic potential against fibrosis must be further investigated in fibrosis mouse models.
Collectively, our study highlights the feasibility of UniStac as an optimal platform for the development of multi-target drugs. UniStac offers both time- and cost-effective methods for drug development owing to (1) highly site-specific conjugation process that minimizes homodimer formation, which ensures that the conjugated molecules maintain their intended structures; (2) an efficient manufacturing process with high conjugation yields; and (3) lack of interference between target ligands after conjugation, suggesting that the platform is capable of efficiently combining two distinct proteins for multi-targeting purposes without compromising their individual activities. C-192, the resulting molecule from the UniStac platform, demonstrated remarkable potential for the treatment of NASH, and further studies exploring the functional role of C-192 in treating complex diseases, such as liver fibrosis, could reveal additional therapeutic applications of this novel multi-target drug. Although further investigations are warranted to fully elucidate the synergistic effect of IL-1RA on liver fibrosis and the NLRP3-inflammasome mechanism, the results of this study establish the therapeutic potential of C-192 for the treatment of fibrosis. Overall, the UniStac platform represents a promising and innovative approach to the development of multi-target drugs.

4. Materials and Methods

4.1. LC–MS/MS and Protein Purification

Peptides of C-192 were separated using an ultra-performance liquid chromatography (UPLC) ACQUITY PREMIER system (Waters, Milford, MA, USA). Mobile phase A contained 0.1% formic acid and 99.9% aqueous solution; mobile phase B contained 0.1% formic acid and 99.9% acetonitrile solution. The chromatographic column was equilibrated using 100% solution A. The digested peptide sample was loaded and separated using an ACQUITY UPLC BEH C18 column (1.7 μm, 2.1 × 150 mm; Waters) at a flow rate of 300 nL/min. The UPLC gradients were as follows: solution B, a linear gradient from 5 to 40% for 1–75 min, solution B maintained at 90% for 75–85 min, and equilibration using 5% solution B for 85–90 min. Ionized peptides were analyzed using a Synapt XS mass spectrometer (Waters). MS detection was performed in the positive ion mode. The scan range of the precursor ion was 50–2000 m/z in the MSE continuum mode.
UniStac molecules were characterized using SDS-PAGE. Automated capillary electrophoresis (CE) was performed using an Agilent 2100 Bioanalyzer (Agilent Technologies, Santa Clara, CA, USA). For CE analysis, a protein analytic solution mixture was loaded onto a microfluidic protein chip and separated by molecular weight using a Bioanalyzer Protein 230 assay kit (Agilent Technologies) under reducing and non-reducing conditions, according to the manufacturer’s protocol.

4.2. DSF Analysis

Melting and aggregation temperatures for C-192 were measured using an UNcle system (Unchained Labs, Pleasanton, CA, USA). The Tm was obtained by measuring the barycentric mean fluorescence, and the Tagg was determined from static light scattering measurements at a wavelength of 266 nm during a temperature ramp from 25 °C to 95 °C with 0.6 °C increments. The equilibration time was set to 60 s before each measurement. The concentration of both samples was 1.0 mg/mL. Measurements were made in 10.0 mM histidine (pH 7.0) containing 230.0 mM trehalose. Measurements were made in duplicates and then averaged, and standard errors were calculated using UNcle analysis software v4.01.

4.3. Affinity Measurement

SPR was performed using a Biacore™ T200 (GE Healthcare, Stockholm, Sweden) system to measure the binding affinities of GLP-1, GCG, and KLB. The ligand (C-192 or IL-1R1) was diluted in a 10-mM sodium acetate solution (pH 5.5) with a final concentration of 5 or 7.59 μg/mL, respectively. C-192 or IL-1R1 was immobilized on a CM5 sensor chip (GE Healthcare) using amine coupling to reach target densities of 400 or 700 resonance units, respectively. The analytes present in C-192 were GLP-1R, GCG, and KLB. The commonly administered concentrations of GLP-1R and GCGR were 3.906, 7.813, 15.626, 31.25, 62.5, 125, 250, 500, and 1000 nM at a flow rate of 50 μL/min for 4 min. KLB (0.195, 0.391, 0.781, 1.563, 3.125, 6.25, 12.5, 25, 50, 100, and 200 nM) and IL-1RA (1.953, 3.903, 7.813, 15.625, 31.25, 62.5, 125, 250, and 500 nM) were injected at a flow rate of 50 μL/min for 4 min. The dissociation time was 10 min for GLP-1, GCG, and KLB and 60 min for IL-1R1. To calculate the equilibrium dissociation rate constants (ka, kd, KD), we used a 1:1 kinetic binding model (A + B ⇌ AB).

4.4. In Vitro Biological Assays

GLP-1R- and GCGR-stable CHO-K1 cell lines were acquired from GenScript, (Piscataway, NJ, USA) and maintained according to the vendor’s protocols. Cellular cAMP was quantified using the cAMP Gs Dynamic Kit (Cisbio, Bedford, MA, USA). The cell lines were seeded in 96-well half-area plates at a density of 10,000 cells/well and incubated in a 5% CO2, 37°C humidified incubator for 24 h. The cells were treated with serially diluted references or samples for 30 min at 37°C in 5% CO2. After adding the homogeneous time resolved fluorescence (HTRF) reagents, the plates were incubated for 1 h in the dark, followed by measurement of the HTRF ratio (665/620 nm × 104). LX-2 and HepG2 cells were maintained in Dulbecco’s modified Eagle’s medium supplemented with 10% fetal bovine serum (FBS) and antibiotics (100 U/mL penicillin, 100 µL/mL streptomycin, and 0.25 µL/mL amphotericin B). All cells were cultured at 37°C in 5% CO2. For FGF21 functional assay, U2OS cells co-expressing human FGFR1 and KLB (Discover X, Fremont, CA, USA) were cultured in AssayComplete Cell Culture Kit-103 supplemented with 0.25 µg/mL puromycin, 250 µg/mL hygromycin B, and 500 µg/mL of G418. Subsequently, the cells were plated in 96-well half-area plates at a density of 20,000 cells/well, and serially diluted recombinant human FGF21 and test samples were immediately added to the cells (50 µL final volume per well; performed in triplicate). After 24 h of incubation at 37°C, PathHunter Detection Reagent was added to the wells, followed by incubation for 1 h at room temperature. For IL-1RA activation, the NF-κB reporter (Luc)-HEK293 cells (BPS Bioscience, San Diego, CA, USA) were cultured in minimum essential medium supplemented with 1% antibiotic/antimycotic, 10% heat inactivated FBS, and 50 µg/mL of hygromycin B. The cells were plated in 96-well half-area plates at a density of 20,000 cells/well 24 h prior to the experiment. Recombinant human IL-1RA and test samples were serially diluted and added to the cells (50 µL final volume per well; triplicate) with 5 pM of recombinant human IL-1β. After 24 h of incubation at 37°C, the expression of the NF-κB gene was analyzed using the One-Glo luciferase system (Promega, Madison, WI, USA).

4.5. Western Blotting Analysis

Cells (CHO, U2OS, and HepG2) were lysed in RIPA lysis buffer (Sigma Aldrich, Hamburg, Germany) mixed with a 1X protease inhibitor cocktail (Roche, Basel, Switzerland). Proteins were resolved using SDS-PAGE and transferred to polyvinylidene difluoride membranes. The membranes were blocked using 5% skim milk (Becton Dickinson, NJ, USA) and then incubated overnight at 4°C with phospho-specific and total antibodies against the following proteins: NF-κB, ERK, JNK, p38, AKT, phospho-ERK (Thr202/Tyr204), phospho-JNK (Thr183/Tyr185), and phospho-p38 (Thr180/Tyr182) (Cell Signaling Technology Inc., Beverly, MA, USA). Phospho-AKT (Ser473) antibody was acquired from Invitrogen (Waltham, MA, USA). Recombinant proteins of an agonist or antagonist, rhIL-1RA, rhIL-1β, and rhFGF21, were acquired from R&D Systems (Minneapolis, MN, USA). Liraglutide, a GLP-1 receptor agonist, and GCG, a ligand for the GCG receptor, were acquired from TORIS (Bristol, UK). The protein bands were visualized using Immobilon Western HRP Substrate (Millipore, Burlington, MA, USA) after hybridization with HRP-conjugated secondary antibodies from rabbits or mice and detected using the iBright (Thermo Fisher, Waltham, MA, USA) imaging system.

4.6. Pharmacokinetics of C-192 in Animal Models

The pharmacokinetic parameters following a single subcutaneous administration of C-192 were evaluated in male C57BL/6 mice (NDIC Co., Ltd., Hwaseong, Republic of Korea) and cynomolgus monkeys (GENIA Co., Ltd., Gyeonggi-do, Republic of Korea). Animal experiments were performed following the animal welfare guidelines of the Laboratory Animal Care Procedures of NDIC and GENIA. The pharmacokinetic parameters of C-192 were evaluated in C57BL/6 mice (n = 3) and cynomolgus monkeys (n = 1) at doses of 10 and 15 mg/kg, respectively. Blood samples (600 to 1000 μL) were collected from the animals at the following time-points: 2, 4, 8, 12, 16, 24, 36, 48, 72, 96, and 120 h after administration. Additionally, blood samples from the monkeys were collected and analyzed at 144, 168, 192, and 216 h after administration. Plasma samples were collected before and after dosing at the indicated times and stored at -80℃ until enzyme-linked immunosorbent assay and electrochemiluminescence immunoassay.

4.7. MCD Diet-induced Mouse Model

Animal experiments were conducted using male C57BL/6 mice (7-week-old; Biotoxtech Co., Ltd., Chungbuk, South Korea). The mice were housed in a pathogen-free facility under controlled conditions. They were randomly divided into six experimental groups: methionine–choline-sufficient (MCS) diet-fed, MCD diet-fed, and four drug-treated groups. The drugs used were OGB21502 (5 and 40 nmol/kg), liraglutide (50 nmol/kg), and dulaglutide (2 nmol/kg). All mice were fed either the MCS or MCD diet for 8 weeks, after which drug administration was initiated. The treatment was continued for an additional 4 weeks.

4.8. Measurement of ALT Levels

Terminal blood samples were collected in heparinized tubes, and plasma was separated and stored at -80°C until analysis. Plasma ALT levels were measured using a Hitachi 7180 analyzer (JSCC, Tokyo, Japan) according to the manufacturer’s instructions.

4.9. Histological Analysis

Mouse liver samples were fixed in 10% (w/v) phosphate-buffered formalin for 48 h. After dehydration using a graded series of ethanol solutions, the liver tissue samples were embedded in paraffin wax. Terminal samples were stained using hematoxylin and eosin to investigate hepatic morphology, including steatosis and inflammation. Blinded liver histology was scored using the NAS criteria [66]. Hepatic TG levels in terminal liver samples were determined using a Triglyceride Reagent Kit according to the manufacturer’s protocol.

4.10. Statistical Analysis

Statistical analyses were performed using PRISM v8.0 (GraphPad Software, San Diego, CA, USA). One-way analysis of variance was used to evaluate statistical significance. Multiple comparisons were performed between the vehicle and positive control groups to determine significant differences between the control and test groups. Statistical significance was set at p<0.05.

Supplementary Materials

The following supporting information can be downloaded at the website of this paper posted on Preprints.org., Figure S1: Evaluation of various formats using acceptor with Fc carrier.

Author Contributions

JHK and NHC drafted and wrote the manuscript; collected and summarized the literature; and designed the figures and tables. YKK, JHL, JYC, OYK, JYL, JHL, KHL, JYK, MJC, and MSK performed the experiments and generated, analyzed, and interpreted the data. ODS, SJK, and MHC produced and isolated the material. HDH was involved in summarizing the figures. DSI supervised the material production process and overall data analyses. SJP conceived the idea, designed platform engineering, and drafted and critically reviewed the manuscript. All authors revised the article and approved the final version for publication.

Funding

This research was supported by Korea Drug Development Fund funded by Ministry of Science and ICT, Ministry of Trade, Industry, and Energy, and Ministry of Health and Welfare (HN21C0561, Republic of Korea).”

Institutional Review Board Statement

The animal study protocol was approved by Association for Assessment and Accreditation of Laboratory Animal Care International (no. 190520).

Informed Consent Statement

Not applicable

Acknowledgments

This project was supported by Onegene biotechnology. We thank the members of the technical research institute and research support team. Additionally, we also appreciate Protium science Co., Ltd. for performing LC–MS/MS analysis to support our research.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Spiess, C.; Zhai, Q.; Carter, P.J. Alternative molecular formats and therapeutic applications for bispecific antibodies. Mol Immunol 2015, 67, 95–106. [Google Scholar] [CrossRef]
  2. Lim, S.M.; Pyo, K.H.; Soo, R.A.; Cho, B.C. The promise of bispecific antibodies: Clinical applications and challenges. Cancer Treat Rev 2021, 99, 102240. [Google Scholar] [CrossRef]
  3. Makhoba, X.H.; Viegas, C.; Mosa, R.A.; Viegas, F.P.D.; Pooe, O.J. Potential impact of the multi-target drug approach in the treatment of some complex diseases. Drug Des Devel Ther 2020, 14, 3235–3249. [Google Scholar] [CrossRef] [PubMed]
  4. Wang, Q.; Chen, Y.; Park, J.; Liu, X.; Hu, Y.; Wang, T.; McFarland, K.; Betenbaugh, M.J. Design and production of bispecific antibodies. Antibodies (Basel) 2019, 8, 43. [Google Scholar] [CrossRef]
  5. Elgundi, Z.; Reslan, M.; Cruz, E.; Sifniotis, V.; Kayser, V. The state-of-play and future of antibody therapeutics. Adv Drug Deliv Rev 2017, 122, 2–19. [Google Scholar] [CrossRef] [PubMed]
  6. Brinkmann, U.; Kontermann, R.E. The making of bispecific antibodies. mAbs 2017, 9, 182–212. [Google Scholar] [CrossRef] [PubMed]
  7. Liu, H.; Saxena, A.; Sidhu, S.S.; Wu, D. Fc engineering for developing therapeutic bispecific antibodies and novel scaffolds. Front Immunol 2017, 8, 38. [Google Scholar] [CrossRef]
  8. Mastrandrea, L.D.; You, J.; Niles, E.G.; Pickart, C.M. E2/E3-mediated assembly of lysine 29-linked polyubiquitin chains. J Biol Chem 1999, 274, 27299–27306. [Google Scholar] [CrossRef]
  9. Hurley, J.H.; Lee, S.; Prag, G. Ubiquitin-binding domains. Biochem J 2006, 399, 361–372. [Google Scholar] [CrossRef]
  10. Lillich, F.F.; Imig, J.D.; Proschak, E. Multi-target approaches in metabolic syndrome. Front Pharmacol 2020, 11, 554961. [Google Scholar] [CrossRef]
  11. Siegmund, V.; Piater, B.; Zakeri, B.; Eichhorn, T.; Fischer, F.; Deutsch, C.; Becker, S.; Toleikis, L.; Hock, B.; Betz, U.A.; Kolmar, H. Spontaneous isopeptide bond formation as a powerful tool for engineering site-specific antibody-drug conjugates. Sci Rep 2016, 6, 39291. [Google Scholar] [CrossRef]
  12. Antos, J.M.; Ingram, J.; Fang, T.; Pishesha, N.; Truttmann, M.C.; Ploegh, H.L. Site-specific protein labeling via sortase-mediated transpeptidation. Curr Protoc Protein Sci 2017, 89, 15.3.1–15.3.19. [Google Scholar] [CrossRef] [PubMed]
  13. Powell, E.E.; Wong, V.W.; Rinella, M. Non-alcoholic fatty liver disease. Lancet 2021, 397, 2212–2224. [Google Scholar] [CrossRef]
  14. Sheka, A.C.; Adeyi, O.; Thompson, J.; Hameed, B.; Crawford, P.A.; Ikramuddin, S. Nonalcoholic steatohepatitis: A review. JAMA 2020, 323, 1175–1183. [Google Scholar] [CrossRef] [PubMed]
  15. Sumida, Y.; Yoneda, M. Current and future pharmacological therapies for NAFLD/NASH. J Gastroenterol 2018, 53, 362–376. [Google Scholar] [CrossRef] [PubMed]
  16. Baggio, L.L.; Drucker, D.J. Biology of incretins: GLP-1 and GIP. Gastroenterology 2007, 132, 2131–2157. [Google Scholar] [CrossRef] [PubMed]
  17. Zhang, F.; Chen, Z.; Wu, D.; Tian, L.; Chen, Q.; Ye, Y.; Chen, W.; Wu, X.; Wu, P.; Yuan, W.; Qiu, Y. Recombinant human GLP-1 beinaglutide regulates lipid metabolism of adipose tissues in diet-induced obese mice. iScience 2021, 24, 103382. [Google Scholar] [CrossRef]
  18. Somm, E.; Montandon, S.A.; Loizides-Mangold, U.; Gaïa, N.; Lazarevic, V.; De Vito, C.; Perroud, E.; Bochaton-Piallat, M.L.; Dibner, C.; Schrenzel, J.; Jornayvaz, F.R. The GLP-1R agonist liraglutide limits hepatic lipotoxicity and inflammatory response in mice fed a methionine-choline deficient diet. Transl Res 2021, 227, 75–88. [Google Scholar] [CrossRef]
  19. Zhou, J.Y.; Poudel, A.; Welchko, R.; Mekala, N.; Chandramani-Shivalingappa, P.; Rosca, M.G.; Li, L. Liraglutide improves insulin sensitivity in high fat diet induced diabetic mice through multiple pathways. Eur J Pharmacol 2019, 861, 172594. [Google Scholar] [CrossRef]
  20. Wong, V.W.; Wong, G.L. A LEAN treatment for non-alcoholic steatohepatitis. Lancet 2016, 387, 628–630. [Google Scholar] [CrossRef]
  21. Newsome, P.N.; Buchholtz, K.; Cusi, K.; Linder, M.; Okanoue, T.; Ratziu, V.; Sanyal, A.J.; Sejling, A.S.; Harrison, S.A.; NN9931-4296 Investigators. A placebo-controlled trial of subcutaneous semaglutide in nonalcoholic steatohepatitis. N Engl J Med 2021, 384, 1113–1124. [Google Scholar] [CrossRef] [PubMed]
  22. Baggio, L.L.; Drucker, D.J. Glucagon-like peptide-1 receptor co-agonists for treating metabolic disease. Mol Metab 2021, 46, 101090. [Google Scholar] [CrossRef] [PubMed]
  23. Adeva-Andany, M.M.; Funcasta-Calderón, R.; Fernández-Fernández, C.; Castro-Quintela, E.; Carneiro-Freire, N. Metabolic effects of glucagon in humans. J Clin Transl Endocrinol 2019, 15, 45–53. [Google Scholar] [CrossRef]
  24. Galsgaard, K.D.; Pedersen, J.; Knop, F.K.; Holst, J.J.; Wewer Albrechtsen, N.J. Glucagon receptor signaling and lipid metabolism. Front Physiol 2019, 10, 413. [Google Scholar] [CrossRef] [PubMed]
  25. Nestor, J.J.; Parkes, D.; Feigh, M.; Suschak, J.J.; Harris, M.S. Effects of ALT-801, a GLP-1 and glucagon receptor dual agonist, in a translational mouse model of non-alcoholic steatohepatitis. Sci Rep 2022, 12, 6666. [Google Scholar] [CrossRef]
  26. Hope, D.C.D.; Vincent, M.L.; Tan, T.M.M. Striking the balance: GLP-1/glucagon co-agonism as a treatment strategy for obesity. Front Endocrinol 2021, 12, 735019. [Google Scholar] [CrossRef] [PubMed]
  27. Boland, M.L.; Laker, R.C.; Mather, K.; Nawrocki, A.; Oldham, S.; Boland, B.B.; Lewis, H.; Conway, J.; Naylor, J.; Guionaud, S.; Feigh, M.; Veidal, S.S.; Lantier, L.; McGuinness, O.P.; Grimsby, J.; Rondinone, C.M.; Jermutus, L.; Larsen, M.R.; Trevaskis, J.L.; Rhodes, C.J. Resolution of NASH and hepatic fibrosis by the GLP-1R/GCGR dual-agonist cotadutide via modulating mitochondrial function and lipogenesis. Nat Metab 2020, 2, 413–431. [Google Scholar] [CrossRef]
  28. Elvert, R.; Herling, A.W.; Bossart, M.; Weiss, T.; Zhang, B.; Wenski, P.; <monospace> </monospace>Wandschneider, J.; Kleutsch, S.; Butty, U.; Kannt, A.; Wagner, M.; Haack, T.; Evers, A.; Dudda, A.; Lorenz, M.; Keil, S.; Larsen, P.J. Running on mixed fuel-dual agonistic approach of GLP-1 and GCG receptors leads to beneficial impact on body weight and blood glucose control: A comparative study between mice and non-human primates. Diabetes Obes Metab 2018, 20, 1836–1851. [Google Scholar] [CrossRef]
  29. Song, N.; Xu, H.; Liu, J.; Zhao, Q.; Chen, H.; Yan, Z.; Yang, R.; Luo, Z.; Liu, Q.; Ouyang, J.; Wu, S.; Luo, S.; Ye, S.; Lin, R.; Sun, X.; Xie, J.; Lan, T.; Wu, Z.; Wang, R.; Jiang, X. Design of a highly potent GLP-1R and GCGR dual-agonist for recovering hepatic fibrosis. Acta Pharm Sin B 2022, 12, 2443–2461. [Google Scholar] [CrossRef] [PubMed]
  30. Kayed, A.; Melander, S.A.; Khan, S.; Andreassen, K.V.; Karsdal, M.A.; Henriksen, K. The effects of dual GLP-1/glucagon receptor agonists with different receptor selectivity in mouse models of obesity and nonalcoholic steatohepatitis. J Pharmacol Exp Ther 2023, 384, 406–416. [Google Scholar] [CrossRef]
  31. Lee, J.H.; Kang, Y.E.; Chang, J.Y.; Park, K.C.; Kim, H.W.; Kim, J.T.; Kim, H.J.; Yi, H.S.; Shong, M.; Chung, H.K.; Kim, K.S. An engineered FGF21 variant, LY2405319, can prevent non-alcoholic steatohepatitis by enhancing hepatic mitochondrial function. Am J Transl Res 2016, 8, 4750–4763. [Google Scholar]
  32. Tillman, E.J.; Rolph, T. FGF21: An emerging therapeutic target for non-alcoholic steatohepatitis and related metabolic diseases. Front Endocrinol 2020, 11, 601290. [Google Scholar] [CrossRef]
  33. Zhang, J.; Li, Y. Fibroblast growth factor 21 analogs for treating metabolic disorders. Front Endocrinol 2015, 6, 168. [Google Scholar] [CrossRef] [PubMed]
  34. Keinicke, H.; Sun, G.; Mentzel, C.M.J.; Fredholm, M.; John, L.M.; Andersen, B.; Raun, K.; Kjaergaard, M. FGF21 regulates hepatic metabolic pathways to improve steatosis and inflammation. Endocr Connect 2020, 9, 755–768. [Google Scholar] [CrossRef]
  35. Fisher, F.M.; Chui, P.C.; Nasser, I.A.; Popov, Y.; Cunniff, J.C.; Lundasen, T.; Kharitonenkov, A.; Schuppan, D.; Flier, J.S.; Maratos-Flier, E. Fibroblast growth factor 21 limits lipotoxicity by promoting hepatic fatty acid activation in mice on methionine and choline-deficient diets. Gastroenterology 2014, 147, 1073–1083. [Google Scholar] [CrossRef]
  36. Agrawal, A.; Parlee, S.; Perez-Tilve, D.; Li, P.; Pan, J.; Mroz, P.A.; Hansen, A.M.K.; Andersen, B.; Finan, B.; Kharitonenkov, A.; DiMarchi, R. Molecular elements in FGF19 and FGF21 defining KLB/FGFR activity and specificity. Mol Metab 2018, 13, 45–55. [Google Scholar] [CrossRef] [PubMed]
  37. Kilkenny, D.M.; Rocheleau, J.V. The FGF21 receptor signaling complex: Klothoβ, FGFR1c, and other regulatory interactions. Vitam Horm 2016, 101, 17–58. [Google Scholar]
  38. Finan, B.; Yang, B.; Ottaway, N.; Smiley, D.L.; Ma, T.; Clemmensen, C.; Chabenne, J.; Zhang, L.; Habegger, K.M.; Fischer, K.; Campbell, J.E. A rationally designed monomeric peptide triagonist corrects obesity and diabetes in rodents. Nat Med 2015, 21, 27–36. [Google Scholar] [CrossRef] [PubMed]
  39. Gilroy, C.A.; Capozzi, M.E.; Varanko, A.K.; Tong, J.; D'alessio, D.A.; Campbell, J.E.; Chilkoti, A. Sustained release of a GLP-1 and FGF21 dual agonist from an injectable depot protects mice from obesity and hyperglycemia. Sci Adv 2020, 6, eaaz9890. [Google Scholar] [CrossRef] [PubMed]
  40. Cui, J.; Shang, A.; Wang, W.; Chen, W. Rational design of a GLP-1/GIP/Gcg receptor triagonist to correct hyperglycemia, obesity and diabetic nephropathy in rodent animals. Life Sci 2020, 260, 118339. [Google Scholar] [CrossRef] [PubMed]
  41. Tsutsui, H.; Cai, X.; Hayashi, S. Interleukin-1 family cytokines in liver diseases. Mediators Inflamm 2015, 2015, 630265. [Google Scholar] [CrossRef] [PubMed]
  42. Gabay, C.; Lamacchia, C.; Palmer, G. IL-1 pathways in inflammation and human diseases. Nat Rev Rheumatol 2010, 6, 232–241. [Google Scholar] [CrossRef] [PubMed]
  43. Barbier, L.; Ferhat, M.; Salamé, E.; Robin, A.; Herbelin, A.; Gombert, J.M. ; Silvain, C; Barbarin, A. Interleukin-1 family cytokines: Keystones in liver inflammatory diseases. Front Immunol 2019, 10, 2014. [Google Scholar]
  44. Mirea, A.M.; Tack, C.J.; Chavakis, T.; Joosten, L.A.B.; Toonen, E.J.M. IL-1 family cytokine pathways underlying NAFLD: Towards new treatment strategies. Trends Mol Med 2018, 24, 458–471. [Google Scholar] [CrossRef]
  45. Meier, R.P.H.; Meyer, J.; Montanari, E.; Lacotte, S.; Balaphas, A.; Muller, Y.D.; Clément, S.; Negro, F.; Toso, C.; Morel, P.; Buhler, L.H. Interleukin-1 receptor antagonist modulates liver inflammation and fibrosis in mice in a model-dependent manner. Int J Mol Sci 2019, 20, 1295. [Google Scholar] [CrossRef] [PubMed]
  46. Arend, W.P.; Malyak, M.; Guthridge, C.J.; Gabay, C. Interleukin-1 receptor antagonist: Role in biology. Annu Rev Immunol 1998, 16, 27–55. [Google Scholar] [CrossRef] [PubMed]
  47. Wree, A.; Broderick, L.; Canbay, A.; Hoffman, H.M.; Feldstein, A.E. From NAFLD to NASH to cirrhosis-New insights into disease mechanisms. Nat Rev Gastroenterol Hepatol 2013, 10, 627–636. [Google Scholar] [CrossRef]
  48. Liu, F.; Walters, K.J. Multitasking with ubiquitin through multivalent interactions. Trends Biochem Sci 2010, 35, 352–360. [Google Scholar] [CrossRef]
  49. Cappadocia, L.; Lima, C.D. Ubiquitin-like protein conjugation: Structures, chemistry, and mechanism. Chem Rev 2018, 118, 889–918. [Google Scholar] [CrossRef]
  50. Heride, C.; Urbé, S.; Clague, M.J. Ubiquitin code assembly and disassembly. Curr Biol 2014, 24, R215–R220. [Google Scholar] [CrossRef]
  51. Spasser, L.; Brik, A. Chemistry and biology of the ubiquitin signal. Angew Chem Int Ed Engl 2012, 51, 6840–6862. [Google Scholar] [CrossRef]
  52. White, J.W.; Saunders, G.F. Structure of the human glucagon gene. Nucleic Acids Res 1986, 14, 4719–4730. [Google Scholar] [CrossRef]
  53. McKenna, S.; Spyracopoulos, L.; Moraes, T.; Pastushok, L.; Ptak, C.; Xiao, W.; Ellison, M.J. Noncovalent interaction between ubiquitin and the human DNA repair protein Mms2 is required for Ubc13-mediated polyubiquitination. J Biol Chem 2001, 276, 40120–40126. [Google Scholar] [CrossRef] [PubMed]
  54. Martinelli, V. Combination therapy. Neurol Sci 2006, 27 Suppl 5, S350–S354. [Google Scholar] [CrossRef]
  55. Oudega, M.; Bradbury, E.J.; Ramer, M.S. Combination therapies. Handb Clin Neurol 2012, 109, 617–636. [Google Scholar]
  56. Meric-Bernstam, F.; Larkin, J.; Tabernero, J.; Bonini, C. Enhancing anti-tumour efficacy with immunotherapy combinations. Lancet 2021, 397, 1010–1022. [Google Scholar] [CrossRef]
  57. Suurs, F.V.; Lub-de Hooge, M.N.; de Vries, E.G.; de Groot, D.J.A. A review of bispecific antibodies and antibody constructs in oncology and clinical challenges. Pharmacol Ther 2019, 201, 103–119. [Google Scholar] [CrossRef] [PubMed]
  58. Shim, H. Bispecific antibodies and antibody–drug conjugates for cancer therapy: Technological considerations. Biomolecules 2020, 10, 360. [Google Scholar] [CrossRef] [PubMed]
  59. Mazor, Y.; Oganesyan, V.; Yang, C.; Hansen, A.; Wang, J.; Liu, H.; Sachsenmeier, K.; Carlson, M.; Gadre, D.V.; Borrok, M.J.; Yu, X.Q. Improving target cell specificity using a novel monovalent bispecific IgG design. MAbs 2015, 7, 77–389. [Google Scholar] [CrossRef]
  60. Godar, M.; de Haard, H.; Blanchetot, C.; Rasser, J. Therapeutic bispecific antibody formats: A patent applications review (1994-2017). Expert Opin Ther Pat 2018, 28, 251–276. [Google Scholar] [CrossRef]
  61. Elshiaty, M.; Schindler, H.; Christopoulos, P. Principles and current clinical landscape of multispecific antibodies against cancer. Int J Mol Sci 2021, 22, 5632. [Google Scholar] [CrossRef] [PubMed]
  62. Wu, Y.; Yi, M.; Zhu, S.; Wang, H.; Wu, K. Recent advances and challenges of bispecific antibodies in solid tumors. Exp Hematol Oncol 2021, 10, 56. [Google Scholar] [CrossRef] [PubMed]
  63. Komander, D.; Lord, C.J.; Scheel, H.; Swift, S.; Hofmann, K.; Ashworth, A.; Barford, D. The structure of the CYLD USP domain explains its specificity for Lys63-linked polyubiquitin and reveals a B box module. Mol Cell 2008, 29, 451–464. [Google Scholar] [CrossRef]
  64. van Wijk, S.J.; Fulda, S.; Dikic, I.; Heilemann, M. Visualizing ubiquitination in mammalian cells. EMBO Rep 2019, 20, e46520. [Google Scholar] [CrossRef] [PubMed]
  65. Dennis, M.S.; Zhang, M.; Meng, Y.G.; Kadkhodayan, M.; Kirchhofer, D.; Combs, D.; Damico, L.A. Albumin binding as a general strategy for improving the pharmacokinetics of proteins. J Biol Chem 2002, 277, 35035–35043. [Google Scholar] [CrossRef]
  66. Kleiner, D.E.; Brunt, E.M.; Van Natta, M.; Behling, C.; Contos, M.J.; Cummings, O.W.; Ferrell, L.D.; Liu, Y.C.; Torbenson, M.S.; Unalp-Arida, A.; Yeh, M. Design and validation of a histological scoring system for nonalcoholic fatty liver disease. Hepatology 2005, 41, 1313–1321. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Schematic representation of the overall strategy for the development of UniStac-based multi-specific molecule. (A) The UniStac platform is composed of an acceptor molecule (produces mammalian cells) and a donor molecule (expressed in Escherichia coli). The acceptor and donor molecules are conjugated by enzymes and form a Y-shaped antibody-like protein. (B) The UniStac platform can conjugate any modalities (VHH, scFv, Fab, peptide, cytokine, and enzyme) and carriers (albumin or Fc region).
Figure 1. Schematic representation of the overall strategy for the development of UniStac-based multi-specific molecule. (A) The UniStac platform is composed of an acceptor molecule (produces mammalian cells) and a donor molecule (expressed in Escherichia coli). The acceptor and donor molecules are conjugated by enzymes and form a Y-shaped antibody-like protein. (B) The UniStac platform can conjugate any modalities (VHH, scFv, Fab, peptide, cytokine, and enzyme) and carriers (albumin or Fc region).
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Figure 2. Characterization of C-192 developed using the UniStac platform. (A) C-192 was synthesized using the UniStac platform with site-specific conjugation of lysine and glycine. (B) The spectrum of the C-192 conjugation site was determined using liquid chromatography with tandem mass spectrometry (LC–MS/MS). The ubiquitination site was extremely specific, i.e., between Lys63 of the acceptor and the C-terminal of donor ubiquitin. (C) The high conjugation yield of C-192 was confirmed using sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) and microcapillary electrophoresis-sodium dodecyl sulfate (CE-SDS). (D) The stability of C-192 was determined using differential scanning fluorimetry (DSF). The unfolding transition temperature (Tm) was detected using fluorescence (blue), and the aggregation temperature (Tagg) was detected using static light scattering (SLS, yellow).
Figure 2. Characterization of C-192 developed using the UniStac platform. (A) C-192 was synthesized using the UniStac platform with site-specific conjugation of lysine and glycine. (B) The spectrum of the C-192 conjugation site was determined using liquid chromatography with tandem mass spectrometry (LC–MS/MS). The ubiquitination site was extremely specific, i.e., between Lys63 of the acceptor and the C-terminal of donor ubiquitin. (C) The high conjugation yield of C-192 was confirmed using sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) and microcapillary electrophoresis-sodium dodecyl sulfate (CE-SDS). (D) The stability of C-192 was determined using differential scanning fluorimetry (DSF). The unfolding transition temperature (Tm) was detected using fluorescence (blue), and the aggregation temperature (Tagg) was detected using static light scattering (SLS, yellow).
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Figure 3. Sustained biological activity of each active pharmaceutical ingredient (API) of C-192. Activities of (A) glucagon-like peptide-1 (GLP-1,) (B) glucagon (GCG), (C) fibroblast growth factor 21 (FGF21), and (D) interleukin-1 receptor antagonist (IL-1RA). GLP-1 and GCG activities were measured using the cAMP accumulation assay in stable CHO-K1 cell lines. FGF21 activity was determined using the FGFR1/KLB functional assay in the U2OS cell line. IL-1RA activity was measured using the nuclear factor kappa B (NF-κB) inhibition assay in the HepG2 cell line.
Figure 3. Sustained biological activity of each active pharmaceutical ingredient (API) of C-192. Activities of (A) glucagon-like peptide-1 (GLP-1,) (B) glucagon (GCG), (C) fibroblast growth factor 21 (FGF21), and (D) interleukin-1 receptor antagonist (IL-1RA). GLP-1 and GCG activities were measured using the cAMP accumulation assay in stable CHO-K1 cell lines. FGF21 activity was determined using the FGFR1/KLB functional assay in the U2OS cell line. IL-1RA activity was measured using the nuclear factor kappa B (NF-κB) inhibition assay in the HepG2 cell line.
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Figure 4. Regulation of downstream signaling by each target. Downstream cellular signaling of four distinct mechanisms by C-192 was examined using western blot analysis. (A) Glucagon-like peptide-1 (GLP-1), (B) glucagon (GCG), (C) fibroblast growth factor 21 (FGF21), and(D) nuclear factor kappa B (NF-κB) and jun N-terminal kinase (JNK) pathways.
Figure 4. Regulation of downstream signaling by each target. Downstream cellular signaling of four distinct mechanisms by C-192 was examined using western blot analysis. (A) Glucagon-like peptide-1 (GLP-1), (B) glucagon (GCG), (C) fibroblast growth factor 21 (FGF21), and(D) nuclear factor kappa B (NF-κB) and jun N-terminal kinase (JNK) pathways.
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Figure 5. Effect of C-192 on hepatic steatosis and liver injury in a methionine–choline-deficient (MCD) diet-induced non-alcoholic steatohepatitis (NASH) mouse model. The samples were harvested from mice 4 weeks after administration of C-192. Analysis of (A) plasma alanine transamine (ALT) levels, (B) hepatic triglyceride (TG) levels, and (C) steatosis-lobular inflammation and NAFLD activity score (NAS). (D) Representative mouse liver tissues and histological photomicrographs of hematoxylin and eosin-stained liver section. * p<0.05, **p<0.01, ***p<0.001 compared with vehicle control and ## p<0.01 and ### p<0.001 compared with dulaglutide.
Figure 5. Effect of C-192 on hepatic steatosis and liver injury in a methionine–choline-deficient (MCD) diet-induced non-alcoholic steatohepatitis (NASH) mouse model. The samples were harvested from mice 4 weeks after administration of C-192. Analysis of (A) plasma alanine transamine (ALT) levels, (B) hepatic triglyceride (TG) levels, and (C) steatosis-lobular inflammation and NAFLD activity score (NAS). (D) Representative mouse liver tissues and histological photomicrographs of hematoxylin and eosin-stained liver section. * p<0.05, **p<0.01, ***p<0.001 compared with vehicle control and ## p<0.01 and ### p<0.001 compared with dulaglutide.
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Table 1. Kinetic results of samples binding to GLP-1, GCG-1, IL-1RA, FGF21 with a 1:1 binding model.
Table 1. Kinetic results of samples binding to GLP-1, GCG-1, IL-1RA, FGF21 with a 1:1 binding model.
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Table 2. Preliminary pharmacokinetic parameters of C-192 S.C administered in mouse and monkey.
Table 2. Preliminary pharmacokinetic parameters of C-192 S.C administered in mouse and monkey.
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