Open Access Article
Hyung Eun Bae
a,
Dayoung Choib,
Jeong Soo Sunga,
Hyun Woong Leec,
Min-Jung Kang
d,
Joachim Jose
e,
Misu Lee*b and
Jae-Chul Pyun
*a
aDepartment of Materials Science and Engineering, Yonsei University, 50 Yonsei-Ro, Seodaemun-Gu, Seoul 03722, Korea. E-mail: jcpyun@yonsei.ac.kr; Fax: +82 2 312 5375; Tel: +82 2 2293 5509
bDivision of Life Sciences, College of Life Science and Bioengineering, Incheon National University, Incheon, 22012, Korea. E-mail: misulee@inu.ac.kr
cDivision of Gastroenterology, Gangnam Severance Hospital, Seoul, 06273, Korea
dKorea Institute of Science and Technology, Seoul, 02456, Korea
eInstitute of Pharmaceutical and Medical Chemistry, University of Munster, Münster, 48149, Germany
First published on 14th April 2026
Glucagon-like peptide-1 receptor (GLP-1R) agonists treat type 2 diabetes and obesity by promoting insulin secretion and suppressing glucagon release. In this study, GLP-1 mimotopes with GLP-1R agonist activity were screened from the Fv-antibody library. The Fv-antibodies represented the hypervariable region of heavy-chain IgG, which included three CDRs and four FRs, and the library was produced by randomizing the CDR3 region with 11 amino acids through site-directed mutagenesis. The GLP-1 mimotopes with GLP-1R agonist activity were screened using monoclonal anti-GLP-1 antibodies and were synthesized into peptides and expressed as Fv-antibodies co-expressed with GFP. The binding affinity of GLP-1 mimotopes was analyzed using a surface plasmon resonance biosensor, and the activity of the GLP-1 mimotopes (expressed Fv-antibodies and synthesized peptides) was analyzed by measuring cyclic adenosine monophosphate (cAMP) production and hormone secretion in pancreatic α- and β-cells. The molecular docking simulations revealed that GLP-1 mimotopes interacted with GLP-1R by targeting key residues known to bind GLP-1, supporting their potential as functional receptor agonists. The effect on fatty acid accumulation was analyzed using hepatocyte cell lines (HepG2 and Huh7), and transcriptomic changes were analyzed by RNA sequencing. In addition, GLP-1R downstream signaling in β-cells was evaluated by western blot analysis of AKT and ERK1/2 phosphorylation. This approach offers a novel strategy to generate new GLP-1R agonists and expand molecular diversity for GLP-1R-targeted therapeutic design.
Fragment variable (Fv)-antibodies represent variable regions of immunoglobulin G (IgG) with three complementarity-determining regions (CDRs) flanked by framework regions (FRs).12,13 Among these, the CDR3 region of the variable heavy chain (VH) exhibits the highest variability and plays a dominant role in determining antigen-binding specificity.14,15 Notably, our Fv-antibodies lack the IgG constant Fc region and therefore do not engage Fc receptor or complement (C1q)-mediated effector functions.16 An Fv-antibody library was produced by randomizing an 11-amino acid sequence of the VH-CDR3 region through site-directed mutagenesis.17,18
The resulting library was genetically connected to the autotransporter domain of AIDA-1 and expressed on the outer membrane of Escherichia coli using autodisplay technology.19,20 This surface display system achieved a high-density expression of Fv-antibodies (>105 molecules per E. coli) and provided high diversity (>106 clones per library), enabling efficient screening without the need for multiple rounds of biopanning.21–23 This approach facilitated the identification of mimotopes, which are short peptide sequences that mimic the structure of natural epitopes and bind specifically to target antibodies or receptors, directly from the displayed library.24,25 This platform was successfully used to identify the amino acid sequences with binding affinity to various targets. For example, the Fv-antibody library was used to screen inhibitors specific to deoxyribonuclease I (DNase I) and β-lactamase, which demonstrated the applicability of this system to select mimotopes or inhibitory fragments for diverse protein targets.26,27
In this study, GLP-1 mimotopes were screened from an Fv-antibody library using an anti-GLP-1 antibody. Screened amino acid sequences (CDR3 sequences, 11 residues) were synthesized into peptides and expressed as Fv-antibodies co-expressed with GFP. The binding affinity (KD) values of GLP-1 mimotopes were analyzed using an SPR biosensor. The activity of the GLP-1 mimotopes (expressed Fv-antibodies and synthesized peptides) was analyzed by measuring cyclic adenosine monophosphate (cAMP) production and insulin secretion. Glucagon suppression was evaluated by measuring glucagon secretion in pancreatic α-cell models. In addition, downstream GLP-1R signaling was examined via western blot analysis. The effect on fatty acid accumulation was analyzed using hepatocyte cell lines such as HepG2 and Huh7. The effect of GLP-1 mimotopes on gene expression was analyzed via RNA sequencing (RNA-seq). Accordingly, GLP-1 mimotopes were screened using an Fv-antibody library and their biological activities were characterized, providing a potential alternative strategy for the development of GLP-1RAs.
A monoclonal anti-GLP-1 antibody was immobilized on Dynabeads™ Protein G (Thermo Fisher Scientific) according to the manufacturer's instructions for screening GLP-1 mimotopes. The autodisplayed Fv-antibody library (OD600nm = 1.0) was incubated with immobilized monoclonal anti-GLP-1 antibodies (25 °C, 1 h). The E. coli clones exhibiting strong binding affinity to the antibody were isolated by magnetic bead capture, which includes washing with 0.01% (v/v) PBST and PBS. After washing, screened E. coli clones were plated onto an agar plate (37 °C, overnight). For selecting the final clones, candidate colonies were randomly picked from the agar plate and incubated with a monoclonal anti-GLP-1 antibody (5 µg mL−1) followed by FITC-labeled secondary antibody (5 µg mL−1). Clones exhibiting strong fluorescence signals were identified by flow cytometry (FACSCalibur; Becton Dickinson, USA) and subjected to DNA sequencing. The selected clones were subsequently expressed as soluble recombinant proteins in E. coli using plasmids pHE006 and pHE007 and synthesized into peptides by Peptron (Daejeon, Republic of Korea). The Fv sequences of the selected clones (including Fv-5 and Fv-8) are summarized in Table S1.
:
3 ratio (α-TC1-6
:
mCherry-β-TC-6), corresponding to 7.5 × 103 α-cells and 22.5 × 103 β-cells per spheroid (3.0 × 104 total cells per spheroid), and seeded into ultra-low attachment 96-well plates to allow the formation of a single spheroid per well. For each condition, 10 co-spheroids were pooled and used as one experimental unit. Prior to stimulation, co-spheroids were washed with DPBS and pre-incubated for 1.5 h at 37 °C in Krebs-Ringer buffer (KRB) containing either 2.8 mM or 16.7 mM glucose supplemented with 0.5 mM IBMX. The buffer was then replaced with new glucose-matched KRB containing Fv-5, Fv-8, Exendin-4, semaglutide, or tirzepatide (1 µM each), while control spheroids received the corresponding buffer without agonists. After 1 h of incubation at 37 °C, supernatants were collected for insulin and glucagon measurement by ELISA according to the manufacturer's instructions. Co-spheroids were subsequently lysed, and intracellular cAMP levels were measured using the cAMP-Glo™ assay as described above (Section 2.3).
:
2000), pan-AKT (Cell Signaling Technology; 1
:
1000), phospho-ERK1/2 (Thr202/Tyr204, Cell Signaling Technology; 1
:
2000), ERK1/2 (Cell Signaling Technology; 1
:
1000), and β-actin-HRP (Santa Cruz Biotechnology; 1
:
5000). Chemiluminescent signals were visualized using a ChemiDoc XRS system (Bio-Rad, Hercules, CA, USA), and band intensities were quantified using Image Lab (BiRad) and ImageJ (NIH, Bethesda, MD, USA). Western blot analysis was carried out following standard procedures as previously described.37
Oil Red O staining was performed to measure the lipid droplet content in HepG2 and Huh7 cells. Cells were seeded in 48-well plates at a density of 4 × 104 cells per mL for HepG2 and 1.5 × 104 cells per mL for Huh7. After 24 h, the cells were treated with Fv-5, Fv-8, or Exendin-4 in combination with oleic acid for an additional 24 h. The cells were washed twice with phosphate-buffered saline (PBS) and fixed with 4% paraformaldehyde for 30 min at 25 °C. After fixation, the cells were rinsed with distilled water and treated with 60% isopropanol for 5 min. The Oil Red O working solution was prepared by diluting a 0.5% (w/v) Oil Red O stock solution in isopropanol with distilled water at a ratio of 3
:
2, followed by filtration through a 0.22 µm membrane filter. Then, the cells were incubated with the oil red working solution for 30 min at room temperature. After staining, the excess dye was removed by washing with distilled water, and the cells were air-dried. Stained lipid droplets were visualized and imaged under a light microscope. For quantification, the cells were lysed with 100% isopropanol, and the absorbance was measured at 515 nm using a microplate reader.
Among the assayed clones, two clones were identified as target clones based on their distinct CDR3 sequences, which differed from the template sequence (before site-directed mutagenesis). The two clones exhibited a concentration-dependent increase in fluorescent signal upon anti-GLP-1 antibody treatment. The binding affinities (KD) of clone-5 and clone-8, were determined to be 50.0 nM and 55.1 nM, respectively (Fig. S2).
Two screened Fv-antibodies were expressed as soluble proteins co-expressed with GFP, and their expression was confirmed using SDS-PAGE with a molecular weight of 40.3 kDa, as shown in Fig. 1(d).44
The KD of the expressed Fv antibodies to the immobilized monoclonal anti-GLP-1 antibody was estimated using an SPR biosensor.45,46 As shown in Fig. S3(a), the KD value was determined to be 71.3 and 62.8 nM for Fv-5 and Fv-8, respectively, which was similar to that for the conventional GLP-1RA called Exendin-4 (Ex-4, 66.1 nM). Under the same SPR conditions, synthetic human GLP-1 (7−36) showed an estimated KD of 23.2 nM, whereas semaglutide and tirzepatide showed estimated KD values of 38.3 nM and 58.0 nM, respectively (Fig. S3(c)). These results indicated that the two Fv-antibodies bound to the anti-GLP-1 antibody within a range comparable to representative GLP-1 agonist benchmarks measured under the same SPR conditions (Exendin-4, GLP-1, semaglutide, tirzepatide). The KD values of the synthesized peptides with the same CDR3 amino acid sequence were estimated for the immobilized monoclonal anti-GLP-1 antibody using the SPR biosensor. Fig. S3(b) shows that the KD value was 372.7 and 315.6 nM for Peptide-5 and Peptide-8, respectively. These results confirmed that Fv-antibodies had a higher affinity (lower KD) than those in the synthesized peptides with the same CDR3 amino acid sequences. The oligonucleotide and amino acid sequences of the screened CDR3 sequences with specific binding affinity are summarized in Table 1.
| Screened CDR3 | Sequences | KD,FACS [nM] (clone) | KD, SPR [nM] (expressed Fv) | KD, SPR [nM] (synthesized peptide) | |
|---|---|---|---|---|---|
| Mimotope-5 (Clone-5) | Oligonucleotide | 5′-1GGTGC6GCCTG11GTACG16CGCCT21TCATG26GGGAT31TT33C-3′ | 50.0 | 71.3 | 372.7 |
| Amino acid sequences | 1G-A-P-G-T-6R-L-H-G-D-11F | ||||
| Mimotope-8 (Clone-8) | Oligo-nucleotide | 5′-1TGTAG6TCCTG11GGGGG16AATCG21GGTCC26GGGAT31TT33T-3′ | 55.1 | 62.8 | 315.6 |
| Amino acid sequences | 1C-S-P-G-G-6N-R-V-R-D-11F | ||||
In parallel, GLP-1 or its agonists bound to the GLP-1R and activated adenylate cyclase (AC), converting ATP into cAMP. An increase in cAMP levels further enhanced insulin secretion by activating PKA and Epac2, both of which increased Ca2+ sensitivity and promoted additional Ca2+ influx.51,52
In addition to enhancing insulin secretion, GLP-1 signaling suppressed glucagon secretion from pancreatic α-cells, which was likely through paracrine regulation by somatostatin or direct inhibition under hyperglycemic conditions.53,54 The direct mechanism was proposed to involve the activation of GLP-1Rs on α-cells, which inhibited voltage-gated P/Q-type Ca2+ channels and subsequently reduced the Ca2+ influx necessary for glucagon exocytosis.5,55 In this study, the bioactivity of GLP-1 mimotopes was evaluated by measuring intracellular cAMP levels and insulin secretion in beta-TC-6 cells.56,57
As shown in Fig. 2(a), the binding of GLP-1 mimotopes to the GLP-1R activates AC, and the cAMP level increases with the concentration of bound GLP-1 mimotopes.32,58 The SPR-derived KD values in this study reflected binding to the immobilized monoclonal anti-GLP-1 antibody (Fig. S3), and provided an assay-matched antibody-binding benchmark. In this SPR format, synthetic human GLP-1 (7-36) showed KD values of 23.2 nM, and our expressed Fv-antibodies and corresponding peptides bound within a comparable range (62.8 nM-372.7 nM), supporting GLP-1-like epitope features, aligning with the agonist-like cellular responses, as evidenced by intracellular cAMP production, insulin secretion and glucagon suppression. In addition, a GLP-1R-based secondary validation was conducted using a flow-cytometry competitive binding assay in beta-TC-6 cells. Co-incubation with GLP-1 (100 nM) reduced the binding signals by 48.8% (Fv-5) and 54.1% (Fv-8) at 1 µM, supporting ligand-competitive engagement of GLP-1R (Fig. S4).
The agonist activity of the Fv-antibodies was estimated by measuring cAMP levels in beta-TC-6 cells after treatment with Fv-antibodies. As shown in Fig. 2(b), the cAMP level increased with the Fv-antibodies treatment at a low glucose concentration (2.8 mM), and the EC50 (half maximal effective concentration) values were measured to be 52.4 and 65.6 nM for Fv-5 and Fv-8, respectively. For Ex-4, the EC50 value was estimated to be 19.6 nM. The EC50 values were measured to be 49.7 and 58.2 nM for Fv-5 and Fv-8, respectively, when the cAMP measurement was carried out at the high glucose concentration of 16.7 mM. Treatment with Ex-4 resulted in an EC50 value of 18.9 nM, which confirmed that treatment with Fv-antibodies at low and high glucose concentrations increased cAMP production, indicating the agonist activity of Fv-antibodies. In the same cAMP assay, semaglutide and tirzepatide induced cAMP production with EC50 values of 16.7 nM and 58.8 nM at low glucose (2.8 mM), as well as 14.8 nM and 61.4 nM at high glucose (16.7 mM), respectively (Fig. 2(b)).
Furthermore, GLP-1 mimotopes were converted into synthesized peptides with CDR3 amino acid sequences (11 residues), and the agonist activity of the GLP-1 mimotope peptides was estimated by measuring cAMP levels after treatment with beta-TC-6 cells. The EC50 values were measured to be 185.1 and 273.0 nM for Peptide-5 and Peptide-8, respectively, when the cAMP level was at a low glucose concentration of 2.8 mM, as shown in Fig. 2(c). The cAMP level was observed at a high glucose concentration of 16.7 mM, and the EC50 values were measured to be 335.9 and 331.7 nM for Peptide-5 and Peptide-8, respectively. These results confirmed that GLP-1 mimotopes in the structure of Fv-antibodies had higher agonist activity than the synthesized peptides with the same CDR3 amino acid sequences. This difference in agonist activity resulted from the difference in KD between the Fv-antibodies and synthesized peptides. Notably, the higher agonist activity of the Fv-antibodies could also be attributed to framework-mediated CDR3 preorganization relative to the corresponding synthesized peptides.59,60 The EC50 values for cAMP accumulation are summarized in Table 2.
| cAMP accumulation | |||||
|---|---|---|---|---|---|
| Low glucose | High glucose | ||||
| EC50 [nM] | Maximum level [nM] | EC50 [nM] | Maximum level [nM] | ||
| Negative control | — | 4.0 | — | 10.2 | |
| Expressed Fv-antibodies | Fv-5 | 52.4 | 20.8 | 49.7 | 24.0 |
| Fv-8 | 65.6 | 17.4 | 58.2 | 20.6 | |
| Synthesized peptides | Peptide-5 | 185.1 | 21.6 | 335.9 | 25.3 |
| Peptide-8 | 273.0 | 19.5 | 331.7 | 24.2 | |
| Exendin-4 | 19.6 | 25.6 | 18.9 | 26.8 | |
| Semaglutide | 16.7 | 26.6 | 14.8 | 30.0 | |
| Tirzepatide | 58.8 | 26.0 | 61.4 | 29.3 | |
As an agonist of the GLP-1R, the binding of GLP-1 mimotopes to the receptor activates beta-TC-6 cells, and the secretion of insulin increases based on the concentration of bound GLP-1 mimotopes (Fig. 3(a)).52,61 The insulin level was increased by treatment with Fv-antibodies at a low glucose concentration (2.8 mM), and the EC50 values were measured to be 118.4 and 99.1 nM for Fv-5 and Fv-8, respectively, as indicated in Fig. 3(b).
For Ex-4, the EC50 value was estimated to be 61.9 nM. When insulin levels were measured at a high glucose concentration of 16.7 mM, the EC50 values were 84.4 and 79.2 nM for Fv-5 and Fv-8, respectively. Treatment with Ex-4 resulted in an EC50 value of 55.8 nM. These results confirmed that treatment with Fv-antibodies at low and high glucose concentrations increased insulin production, indicating the agonist function of the Fv-antibodies.
In the same insulin secretion assay, semaglutide and tirzepatide showed EC50 values of 56.6 nM and 81.2 nM under low glucose (2.8 mM) conditions, and 54.8 nM and 93.6 nM under high glucose (16.7 mM) conditions, respectively (Fig. 3(b)). As shown in Fig. 3(c), the agonist activity of GLP-1 mimotope peptides was estimated by measuring insulin levels in the beta-TC-6 cells after treatment. The EC50 values were measured to be 251.6 and 235.3 nM for Peptide-5 and Peptide-8, respectively, when the insulin level was observed at a low glucose concentration of 2.8 mM. When the insulin level was observed at a high glucose concentration of 16.7 mM, the EC50 values were measured to be 354.4 and 280.1 nM for Peptide-5 and Peptide-8, respectively. These results confirmed that GLP-1 mimotopes in the structure of Fv-antibodies had higher agonist activity than the peptides synthesized with the same CDR3 amino acid sequences. This difference in agonist activity could also be attributed to the difference in KD values between the Fv-antibodies and the synthesized peptides. Notably, framework-mediated CDR3 preorganization may contribute to the higher agonist activity of the Fv-antibodies relative to the corresponding synthesized peptides.59,60 The EC50 values for insulin secretion are summarized in Table 3.
| Insulin secretion | |||||
|---|---|---|---|---|---|
| Low glucose | High glucose | ||||
| EC50 [nM] | Maximum level [ng mL−1] | EC50 [nM] | Maximum level [ng mL−1] | ||
| Negative control | — | 3.1 | — | 3.9 | |
| Expressed Fv-antibodies | Fv-5 | 118.4 | 9.5 | 84.4 | 11.4 |
| Fv-8 | 99.1 | 10.6 | 79.2 | 12.0 | |
| Synthesized peptides | Peptide-5 | 251.6 | 10.8 | 354.4 | 12.0 |
| Peptide-8 | 235.3 | 11.2 | 280.1 | 12.5 | |
| Exendin-4 | 61.9 | 10.5 | 55.8 | 12.1 | |
| Semaglutide | 56.6 | 10.8 | 54.8 | 12.2 | |
| Tirzepatide | 81.2 | 10.1 | 93.6 | 12.1 | |
The alpha-TC-1 clone 6 cell (ATCC CRL-2934) was derived from a pancreatic α-cell and secretes glucagon.62 Glucagon secretion from α-cells is governed by glucose availability and α-cell excitability, and the secretory output is coupled to Ca2+ dependent exocytosis of glucagon granules.63,64 GLP-1 and GLP-1R agonists have been reported to suppress glucagon secretion, and the proposed mechanisms include intra-islet paracrine regulation, particularly somatostatin-dependent pathways, as well as direct α-cell modulation depending on the glucose level.65,66 Notably, GLP-1 can inhibit glucagon secretion even when detectable GLP-1R immunoreactivity is present in only a small fraction of α-cells, supporting that glucagonostatic responses may be captured in α-cell-focused assays under appropriate conditions.5
Direct inhibitory mechanisms have been linked to reduced activity of voltage-gated Ca2+ channels and diminished Ca2+ influx required for glucagon exocytosis.5,67 As shown in Fig. 4(a), GLP-1 mimotopes are expected to engage GLP-1R and attenuate Ca2+-dependent glucagon granule exocytosis, resulting in reduced glucagon secretion. In this study, the glucagonostatic activity of GLP-1 mimotopes was evaluated by measuring glucagon secretion in alpha-TC-1 clone 6 cells under low (2.8 mM) and high (16.7 mM) glucose conditions.
As shown in Fig. 4(b), under low glucose (2.8 mM), the glucagon level in the glucose-matched control was 45.0 pg mL−1, and treatment with Fv-5, Fv-8, Ex-4, semaglutide, or tirzepatide decreased glucagon secretion in a dose-dependent manner, enabling IC50 estimation. The IC50 values were 57.0 nM for Fv-5, 70.7 nM for Fv-8, 19.2 nM for Ex-4, 35.5 nM for semaglutide, and 89.9 nM for tirzepatide. As shown in Fig. 4(c), under high glucose (16.7 mM) conditions, the glucagon level in the control was 35.1 pg mL−1, and the dose-dependent effect was markedly attenuated. At 1 µM, glucagon secretion decreased by 8.3% with Fv-5, 6.6% with Fv-8, 9.4% with Ex-4, 7.7% with semaglutide, and 6.8% with tirzepatide relative to the glucose-matched control, which was not suitable for robust IC50 fitting within the tested range. At high glucose, glucose-driven suppression of glucagon secretion predominates, which can attenuate the additional glucagonostatic effect observed upon GLP-1/GLP-1R agonist treatment.65
Overall, Fv-5 and Fv-8 elicited glucagonostatic activity in alpha-TC-1 clone 6 cells, showing clear dose-dependent suppression under low glucose (2.8 mM) conditions with quantifiable IC50 values, comparable to GLP-1R agonist controls. Under high glucose (16.7 mM), glucagon secretion was already strongly suppressed by glucose, resulting in a limited dynamic range and only modest additional inhibition within the tested concentration range.
:
3). As shown in Fig. 5(a), the co-spheroids maintained a stable 3D architecture as confirmed by DAPI staining (blue) and mCherry-labeled β-TC-6 cells (red). In addition, FITC-labeled Fv-5 and Fv-8 (green) showed clear fluorescence signals within the co-spheroids, supporting the feasibility of assessing ligand responses in the 3D spheroid setting.
The agonist activity of GLP-1 mimotopes in co-spheroids was assessed by measuring intracellular cAMP levels and hormone secretion under low (2.8 mM) and high (16.7 mM) glucose conditions after treatment with Fv-5, Fv-8, Ex-4, semaglutide, and tirzepatide (1 µM each). As shown in Fig. 5(b), intracellular cAMP accumulation increased upon treatment with all GLP-1R agonists and expressed Fv-antibodies under both glucose conditions.
Under low glucose (2.8 mM) conditions, the cAMP level in the glucose-matched control (NC) was 24.2 nM, and cAMP increased by approximately 1.9-fold with Fv-5 and Fv-8, 2.2-fold with Ex-4, and 2.1-fold with semaglutide and tirzepatide. Under the high glucose (16.7 mM) condition, the control (NC) cAMP level was 36.6 nM, and cAMP increased by approximately 1.5-fold with Fv-5, 1.4-fold with Fv-8, 1.7-fold with Ex-4, 1.6-fold with semaglutide, and 1.4-fold with tirzepatide. As shown in Fig. 5(c), insulin secretion was enhanced in the α/β co-spheroids following treatment with GLP-1R agonists and expressed Fv-antibodies.
Under the low glucose (2.8 mM) condition, the insulin level in the glucose-matched control (NC) was 5.2 ng mL−1, and insulin secretion increased by approximately 2.8-fold with Fv-5, 3.3-fold with Fv-8, 3.5-fold with Ex-4, 3.7-fold with semaglutide, and 3.2-fold with tirzepatide. Under the high glucose (16.7 mM) condition, the control insulin level was 7.9 ng mL−1, and insulin secretion increased by approximately 2.2-fold with Fv-5, 2.4-fold with Fv-8, 2.7-fold with Ex-4 and semaglutide, and 2.5-fold with tirzepatide. As shown in Fig. 5(d), glucagon secretion was suppressed under both glucose conditions. Under the low glucose (2.8 mM) condition, the glucagon level in the glucose-matched control (NC) was 33.7 pg mL−1, and glucagon secretion decreased by approximately 15.0% with Fv-5, 20.2% with Fv-8, 38.3% with Ex-4, 33.5% with semaglutide, and 27.0% with tirzepatide.
Under the high glucose (16.7 mM) condition, the control glucagon level was 22.5 pg mL−1, and glucagon secretion decreased by approximately 35.6% with Fv-5, 39.1% with Fv-8, 52.9% with Ex-4, 50.2% with semaglutide, and 44.9% with tirzepatide. These results confirmed that Fv-5 and Fv-8 induced agonist-like signaling and endocrine outputs in the 3D α/β co-spheroid model, including cAMP and insulin secretion with concomitant glucagon suppression.
As shown in Fig. 6(b), treatment with Fv-5, Fv-8, or Ex-4 (1 µM) for 1 h increased the phosphorylation levels of AKT (Ser473) and ERK1/2 (Thr202/Tyr204) in beta-TC-6 cells under both glucose conditions, while the total AKT and ERK levels remained comparable across conditions with β-actin as a loading control. The phosphorylation signals were quantified as p-AKT/AKT/β-actin and p-ERK/ERK/β-actin, and each glucose-matched control was normalized to 1.00. Under the high glucose (16.7 mM) condition, p-AKT increased to 1.30-fold for Fv-5, 1.96-fold for Fv-8, and 1.34-fold for Ex-4 relative to the normalized control, and p-ERK increased to 2.37-fold for Fv-5, 1.56-fold for Fv-8, and 1.37-fold for Ex-4. Under the low glucose (2.8 mM) condition, p-AKT changed to 0.95-fold for Fv-5, 1.14-fold for Fv-8, and 1.23-fold for Ex-4 compared with the normalized control, whereas p-ERK increased to 2.32-fold for Fv-5 and 1.65-fold for Fv-8 but decreased to 0.78-fold for Ex-4. These results indicated that the expressed Fv-antibodies modulated GLP-1R-associated intracellular signaling readouts, with robust ERK phosphorylation and glucose-dependent changes in AKT phosphorylation.
The crystal structure of the active state of GLP-1R (PDB ID: 5VAI) was used for docking, as ligand binding induces a conformational change from the inactive to the active state, thereby initiating receptor activation. GLP-1R is composed of an extracellular domain (ECD) and a transmembrane domain (TMD), which cooperate in ligand binding and signal transduction.75 The ECD facilitates ligand recognition and capture, while the TMD is responsible for downstream signaling. Previous studies have identified key residues involved in GLP-1 binding, including L32, W39, D67, R121, L123, E127, E128, L201, W297, R299, N300, and R380.76,77
As shown in Fig. 7(a), GLP-1 formed multiple interactions with GLP-1R, including nine hydrogen bonds (L32, Y88, R121, E138, K197, W297, T298, R299, and W306), twelve hydrophobic interactions (W39, L89, L118, L123, C126, L142, L201, M204, Y241, I309, R310, and I313), and two electrostatic interactions (E128 and E139). The binding affinity of GLP-1 to GLP-1R was calculated to be −13.5 kcal mol−1. Notably, eight of these interacting residues (L32, W39, R121, L123, E128, L201, W297, and R299) matched previously reported key binding sites for GLP-1. As shown in Fig. 7(b), GLP-1 mimotope Fv-5 (only CDR3 region) also formed specific interactions with GLP-1R, including seven hydrogen bonds (L142, Q234, W297, T298, R299, N300, and F367), four hydrophobic interactions (V237, W306, R310, and L314), and three electrostatic interactions (K197, E364, and E387).
The binding affinity of Fv-5 was calculated to be −8.0 kcal mol−1. Among these interacting residues, seven (L142, W297, T298, R299, W306, R310, and K197) overlapped with those involved in GLP-1 binding, suggesting that Fv-5 engaged GLP-1R similarly to GLP-1. As shown in Fig. 7(c), GLP-1 mimotope Fv-8 (only CDR3 region) formed four hydrogen bonds (T29, L197, C296, and W297), five hydrophobic interactions (L142, L201, Y205, F385, and L388), and two electrostatic interactions (E138 and E139) with GLP-1R. The binding affinity of Fv-8 was calculated to be −8.1 kcal mol−1. Notably, five interacting residues (L142, L197, C296, W297, and L201) overlapped with those involved in GLP-1 binding, indicating that Fv-8 also targeted the functionally relevant regions of the GLP-1 receptor.
The Exendin-4 (PDB ID: 7LLL) was additionally docked to the active-state GLP-1R structure (PDB ID: 5VAI) under the same conditions. Previous structural studies have reported that Ex-4 engages GLP-1R through residues in both the ECD (L32, W39, D67, R121, L123, E127, E128) and the TMD/ECL region (Y145, R190, Q211, H212, W297, R299, L388, S392).78,79 As shown in Fig. 7(d), Ex-4 formed nine hydrogen-bond interactions with GLP-1R residues (V30, L32, R121, E138, E139, H212, W297, R299, and F367), seven hydrophobic interactions (V36, P90, L142, L201, A208, I313, and F385), and two electrostatic interactions (T29 and W39). The binding affinity of Ex-4 was calculated to be −10.1 kcal mol−1. Notably, several interacting residues overlapped with previously reported binding sites, including the ECD residues L32, W39, and R121, as well as the TMD pocket residues W297 and R299. These results supported that the docking analysis reproduced the expected binding topology of a validated GLP-1R agonist and provided a reference interaction map for comparison with the screened mimotopes. These docking interactions are summarized in Table 4.
| Agonist | Hydrogen bond | Hydrophobic interaction | Electrostatic interaction | Binding affinity (kcal mol−1) |
|---|---|---|---|---|
| GLP-1 | L32, Y88, R121, E138, K197, W297, T298, R299, W306 | W39, L89, L118, L123, C126, L142, L201, M204, Y241, I309, R310, I313 | E128, E139 | −13.5 |
| Fv-5 (CDR3) | L142, Q234, W297, T298, R299, N300, F367 | V237, W306, R310, L314 | K197, E364, E387 | −8.0 |
| Fv-8 (CDR3) | T29, K197, C296, W297 | L142, L201, Y205, F385, L388 | E138, E139 | −8.1 |
| Ex-4 | V30, L32, R121, E138, E139, H212, W297, R299, F367 | V36, P90, L142, L201, A208, I313, F385 | T29, W39 | −10.1 |
In this study, the influence of GLP-1 mimotopes on lipid accumulation was estimated using two liver cell lines, namely, HepG2 and Huh7. The liver cells were cultured under 300 µM oleic acid (OA) for 24 h, and the accumulated cellular fatty acid vesicles were stained with Oil red O (Fig. 8(a)). The quantitative amount of accumulated fatty acids in the stained cell lysate was estimated by measuring the absorbance at 510 nm. The influence of GLP-1 mimotopes on fatty acid accumulation was evaluated by treating GLP-1 mimotopes with OA. For HepG2, the level of fatty acids decreased to 28.7 and 28.3% for Fv-5 and Fv-8, respectively, compared to the level of fatty acids without mimotope treatment. When Ex-4 was used as a positive control, the level of fatty acids decreased to 27.8%, as shown in Fig. 8(b). The same experiment was conducted using Huh7, wherein the level of fatty acids decreased to 28.3 and 33.3% for Fv-5 and Fv-8, respectively, compared to the level of fatty acids without mimotope treatment. When Ex-4 was used, the fatty acid levels decreased to 26.0%, as shown in Fig. 8(c). These results showed that GLP-1 mimotopes in the structure of the Fv-antibody effectively prevented the accumulation of cellular fatty acids, similar to that with Ex-4.
The effect of GLP-1 mimotopes on protein expression post-treatment was analyzed via mRNA expression analysis. Differentially expressed genes were identified in HepG2 cells treated with Fv-5, Fv-8, or Ex-4 in combination with OA relative to OA-treated HepG2 cells. From a total of 19
925 genes, those exhibiting a fold change >1.5 and a p-value <0.05 were considered significantly dysregulated. Compared to untreated HepG2 cells, OA treatment led to significant dysregulation of 1953 genes. Additionally, co-treatment with OA and Fv-5, Fv-8, or Ex-4 in HepG2 cells significantly altered the expression of 2929, 2680, and 3120 genes, respectively, compared to that of OA-treated HepG2 cells. Co-treatment of Fv-5 with OA exhibited a transcriptional dysregulation pattern more similar to that of Ex-4 than that of co-treated Fv-8 with OA (Fig. 9(a)). Transcriptomic analysis revealed that 519 genes were upregulated and 728 genes downregulated in HepG2 cells co-treated with OA and either Fv-5 or Ex-4. Only 58 genes showed divergent expression patterns between the two co-treatment conditions. Similarly, in HepG2 cells co-treated with OA and either Fv-8 or Ex-4, 503 genes were upregulated, 684 genes were downregulated, and 60 genes exhibited divergent expression patterns (Fig. 9(b)).
Apoptosis in hepatocytes represents a hallmark of fatty liver disease.85 In HepG2 cells, a widely used hepatic model, exposure to OA induces steatosis and concomitantly enhances apoptotic cell death.86 Transcriptomic profiling identified 277 genes that were significantly dysregulated in HepG2 cells treated with Fv-5, Fv-8, or Ex-4 with OA compared to those of the OA-treated controls (Fig. 10(a)). Among these, bcl11b, which was markedly suppressed upon OA exposure (FC: 0.46 vs. CTL), exhibited increased levels following treatment with Fv-5 (FC: 2.03 vs. CTL), Fv-8 (FC: 1.76 vs. CTL), and Ex-4 (FC: 1.69 vs. CTL). The downregulation of bcl11b has been implicated as a driver of apoptosis.87 Additionally, canonical proapoptotic genes, including FAS, TNFRSF25, and CASP9, which were transcriptionally upregulated in response to OA-induced lipotoxic stress, were substantially attenuated by treatment with Fv-5, Fv-8, or Ex-4.85,88,89
In hepatocytes affected by non-alcoholic fatty liver disease (NAFLD), lipid accumulation is known to correlate with elevated levels of reactive oxygen species (ROS).90 Comparative transcriptomic analysis revealed that 60 genes were significantly dysregulated in Fv-5, Fv-8, and Ex-4 treated with OA in HepG2 cells relative to OA-treated controls (Fig. 10(b)).
Among these, key antioxidant genes such as GPX1, FOXO3, and SIRT2, which were typically downregulated following OA treatment, were notably upregulated upon treatment with Fv-antibodies.91–93
Ferroptosis, an iron-dependent, non-apoptotic form of regulated cell death, has been increasingly recognized for its association with ROS generation.94 Emerging evidence has implicated ferroptosis in the progression of NAFLD.95 In this context, 65 genes were significantly dysregulated in Fv-treated with OA versus OA-treated HepG2 cells (Fig. 10(c)).
Recent studies identified the transcription factor BACH1 as a critical regulator of ferroptosis under oxidative stress.96 BACH1 expression was elevated following OA treatment; however, it was significantly suppressed in cells treated with Fv-5, Fv-8, or Ex-4, suggesting a potential mechanism by which these compounds modulated ferroptotic pathways in NAFLD. Database for Annotation, Visualization, and Integrated Discovery (DAVID) functional annotation analysis was conducted to evaluate the impact of the Fv-antibodies. Analysis comparing Fv-5 and OA co-treated HepG2 cells with OA-treated controls identified significant dysregulation of genes associated with key biological processes (Gene ontology (GO) terms of BP). Impaired calcium signaling has recently been recognized as a key driver of enhanced endoplasmic reticulum (ER) stress, contributing to hepatic lipid accumulation. This dysfunction is closely linked to mitochondrial impairment and autophagic defects, highlighting its potential role in NAFLD.97,98
Co-treatment with Fv-5 and OA in HepG2 cells results in significant dysregulation of genes associated with ER calcium ion concentration, lipid metabolic processes, and autophagy compared with OA-treated controls (Fig. 11(a)). Co-treatment with Fv-8 and OA leads to marked alterations in gene expression linked to autophagy, lipid metabolism, and ROS pathways (Fig. 11(b)). Co-treatment with Ex-4 and OA resulted in the dysregulation of pathways commonly observed with Fv-5 and Fv-8 (Fig. 11(c)). Comparative transcriptomic analysis identified 743 genes that were consistently dysregulated in HepG2 cells treated with Ex-4, Fv-5, or Fv-8 compared to those in OA-treated controls.
Among these, 273 genes were upregulated, 445 genes were downregulated, and 25 genes exhibited opposite expression. GO analysis of these genes showed significant enrichment in lipid-associated pathways, including the apoptotic pathway, pathways related to autophagy, and the MAPK signaling pathway (Fig. 11(d)). Consistently, KEGG pathway analysis further confirmed the involvement of these genes in the MAPK signaling pathway, which regulates various aspects of hepatic metabolism. MAPK activation in response to cellular stress impairs the action of insulin and disrupts lipid metabolism. In mouse models with MAPK pathway abnormalities, increased hepatic triglyceride accumulation led to the development of hepatic steatosis (Fig. 11(d)).99,100
Additionally, genes associated with the Rap1 signaling pathway were dysregulated. This pathway plays a critical role in the regulation of hepatocyte and adipose tissue functions, and its impairment is linked to liver steatosis, glucose intolerance, insulin resistance, and excessive fat accumulation.101 The GO term analysis of the disease category identified genes associated with intrahepatic cholestasis (P < 0.05), suggesting its potential implications.
In addition, the glucagonostatic activity of the expressed Fv-antibodies was evaluated in alpha-TC-1 clone 6 cells by measuring glucagon secretion under low- and high-glucose conditions. To further assess their activity in a more physiologically relevant model, α/β co-spheroids composed of alpha-TC-1 clone 6 and beta-TC-6 cells were established, and intracellular cAMP accumulation as well as insulin and glucagon secretion were quantified. Moreover, GLP-1R downstream signaling was examined in beta-TC-6 cells by western blot analysis of AKT and ERK1/2 phosphorylation.
The molecular docking analyses supported the agonist function of GLP-1 mimotopes by demonstrating their effective binding to the active conformation of GLP-1R. Both Fv-5 and Fv-8 engaged key residues involved in GLP-1 binding with binding affinities of −8.0 and −8.1 kcal mol−1, respectively. These findings suggested that GLP-1 mimotopes mimicked the binding characteristics of GLP-1 and contributed to receptor activation through similar molecular interactions.
The effect on fatty acid accumulation was analyzed using liver cell lines, such as HepG2 and Huh7. Both cell lines showed that the level of fatty acids decreased to 28–33% in comparison with the level of fatty acids without mimotope treatment (Ex-4 reduced 26.0%).
These results confirmed that GLP-1 mimotopes in the structure of the Fv-antibody could effectively prevent the accumulation of cellular fatty acids as high as Ex-4. The effect of GLP-1 mimotopes on protein expression was analyzed by the mRNA expression analysis of OA-treated HepG2 cells. Comparative transcriptomic analysis revealed that 743 genes were significantly dysregulated in Fv-5, Fv-8, and Ex-4 treated with OA in HepG2 cells in comparison with only OA-treated controls. Several genes have been reported to play critical roles in regulating hepatocyte and adipose tissue functions linked to liver steatosis, glucose intolerance, insulin resistance, and excessive fat accumulation.
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