| Literature DB >> 31649846 |
Wei Sun1, Zhaona Yang1, Heng Lin1, Ming Liu1, Chenxi Zhao1, Xueying Hou1, Zhuowei Hu1, Bing Cui1.
Abstract
Monoclonal antibodies (mAbs) are widely used in many fields due to their high specificity and ability to recognize a broad range of antigens. IL-17A can induce a rapid inflammatory response both alone and synergistically with other proinflammatory cytokines. Accumulating evidence suggests that therapeutic intervention of IL-17A signaling offers an attractive treatment option for autoimmune diseases and cancer. Here, we present a combinatorial approach for optimizing the affinity and thermostability of a novel anti-hIL-17A antibody. From a large naïve phage-displayed library, we isolated the anti-IL-17A mAb 7H9 that can neutralize the effects of recombinant human IL-17A. However, the modest neutralization potency and poor thermostability limit its therapeutic applications. In vitro affinity optimization was then used to generate 8D3 by using yeast-displayed random mutagenesis libraries. This resulted in four key amino acid changes and provided an approximately 15-fold potency increase in a cell-based neutralization assay. Complementarity-determining regions (CDRs) of 8D3 were further grafted onto the stable framework of the huFv 4D5 to improve thermostability. The resulting hybrid antibody 9NT/S has superior stabilization and affinities beyond its original antibody. Human fibrosarcoma cell-based assays and in vivo analyses in mice indicated that the anti-IL-17A antibody 9NT/S efficiently inhibited the secretion of IL-17A-induced proinflammatory cytokines. Therefore, this lead anti-IL-17A mAb might be used as a potential best-in-class candidate for treating IL-17A related diseases.Entities:
Keywords: AIN457, secukinumab; Antibody engineering; Antibody maturation; CDR grafting; CDRs, complementarity-determining regions; FACS, fluorescent-activated cell sorting; HC, heavy chain; HRP, horse radish peroxidase; KD, dissociation constant; Koff, the dissociation rate constant; Kon, the association rate constant; LC, light chain; LY2439821, ixekizumab; MACS, magnetic-activated cell sorting; MFI, mean fluorescence intensity; Monoclonal antibody; Phage display; VH, the variable regions of heavy chains; VL, the variable regions of light chains; YSD, yeast surface display; Yeast surface display; mAbs, monoclonal antibodies; scFv, single-chain variable fragment
Year: 2019 PMID: 31649846 PMCID: PMC6804450 DOI: 10.1016/j.apsb.2019.02.007
Source DB: PubMed Journal: Acta Pharm Sin B ISSN: 2211-3835 Impact factor: 11.413
Figure 1Selection of anti-IL-17A monoclonal antibodies (mAbs) from a phage-displayed scFv library. (A) Phage clones were isolated with the binding activity specific to IL-17A (blue bars), and low or no binding to BSA (brown bars) in phage ELISA. (B) Antibody gene family distribution and frequency of 45 phage clones analyzed by IMGT (http://www.imgt.org). (C) Summary of the antibody IL-6 inhibition and IL-17A binding activities. Antibodies selected from the phage-displayed library were converted into scFc-Fc or full-length IgG1 format. The summary data correspond with the results in Supporting Information Table S2, Fig. S2 and panel D. +, increase; ++, strong increase; –, no effect. (D) IL-6 inhibition curves of 7H9, 7G1 and AIN457 (CON) in IgG1 format. HT1080 cells were treated in triplicate with antibodies pre-mixed with 10 nmol/L IL-17A and IL-6 levels determined by ELISA. Data are shown as the mean ± SD (n = 3). IC50 was calculated using GraphPad Prism 5.0.
Summary of the antibody affinities measured by Biacore T100 and thermostabilities by DSC.
| Antibody variant | Biacore | Fab |
|---|---|---|
| 7H9 (WT) | 3.56 × 10−9 (7.74 × 106, 6.00 × 10−2) | 66.8 |
| 8D3 | 4.67 × 10−10 (5.51 × 105, 2.58 × 10−4) | 59.4 |
| 9C53A | 3.35 × 10−10 (5.36 × 105, 1.79 × 10−4) | 76.3 |
| 9NS | 2.91 × 10−10 (5.91 × 105, 1.72 × 10−4) | 76.7 |
| 9NT | 2.81 × 10−10 (5.34 × 105, 1.50 × 10−4) | 77.4 |
| AIN457 | 3.23 × 10−10 (4.71 × 105, 1.52 × 10−4) | 76.8 |
Figure 2Enrichment of high-affinity mAbs using yeast surface display. (A) Technical scheme. The heavy chain random mutation (VH-Mut) library and the light chain random mutation (VL-Mut) library were constructed. After two rounds of magnetic bead screening (MACS) and one round of flow sorting (FACS), yeast clones with improved affinity were obtained. The heavy and light chains of these clones were recombined, and high-affinity clones were subsequently screened by three-round flow sorting. (B) Flow cytometry analysis of two-round MACS and four-round FACS sorting. The horizontal axis (x-axis, FITC channel) represents the expression level of the scFvs in the yeast cell population. The vertical axis (y-axis, APC channel) represents the level of the antigen, IL-17A, bound to the antibody. After two rounds of MACS sorting, FACS was performed to select the top 0.1%–0.3% populations with the strongest fluorescence intensity.
Figure 3Identification of high-affinity mAb clones by flow cytometry. (A) Antibody clones were obtained after the third round of flow sorting. Flow cytometry analysis was performed to analyze the ability of the antibody to bind 10 nmol/L IL-17A. The horizontal axis (x-axis, APC channel) represents the level of the IL-17A antigen bound to the scFv antibody. (B) and (C) Mean fluorescence intensity (MFI, B) and affinity improvement (KD ratio, C) assessed by the MFI values of wild type (7H9) and mutants in scFv formats on the yeast surface. Data are shown as the mean ± SD (n = 3).
Summary of the antibody affinity measurement by Octet Fortebio and IL-6 inhibition activity in IL-17A-stimulated HT1080 cells.
| Mutant | IC50 (nmol/L) | |||
|---|---|---|---|---|
| WT (7H9) | 2.35 × 104 | 1.66 × 10−3 | 7.06 × 10−8 | 166 |
| CON | 6.47 × 104 | 4.87 × 10−5 | 7.53 × 10−10 | 5 |
| 8D3 | 4.43 × 104 | 1.04 × 10−4 | 2.34 × 10−9 | 11 |
| 8D4 | 6.02 × 104 | 1.98 × 10−4 | 3.29 × 10−9 | 17 |
| 8-2F6 | 2.92 × 104 | 1.12 × 10−4 | 3.82 × 10−9 | 16 |
| 8B9 | 3.93 × 104 | 2.40 × 10−4 | 6.10 × 10−9 | 21 |
| 8D7 | 5.41 × 104 | 2.40 × 10−4 | 4.43 × 10−9 | 28 |
Figure 4Multiple sequence alignment of relevant sequences. (A) The light chain variable domain (VL). (B) The heavy chain variable domain (VH). CDR residues are colored in red. Sequences were aligned by using the Clustal Omega program. Residue labels and CDR definitions are according to Kabat (1987). (•) indicates these residues were retained after CDR grafting onto the 4D5 framework.
Alanine scanning mutagenesis of 8D3. The binding affinity of 8D3 alanine mutants was evaluated relative to the wild type 8D3 by ELISA.
| L1/H1 residues | Effect | L2/H2 residues | Effect | L3/H3 residues | Effect |
|---|---|---|---|---|---|
| LD26 | +/– | LY50 | – | LW91 | – – – |
| LS27 | +/– | LD51 | – – | LD92 | – – – |
| LL28 | – – | LD52 | +/– | LV93 | -- |
| LR29 | +/– | LD53 | + | LS94 | – – |
| LG30 | — | LR54 | – – | LL95 | – – |
| LY31 | +/– | LT56 | +/– | LG95b | – – |
| LY32 | – | HR50 | – – | LV97 | – – – |
| LS34 | +/– | HT51 | – – | HE95 | – – – |
| HG26 | – – | HY52 | – – | HG96 | – – – |
| HD27 | – – | HS53 | +/– | HD97A | +/– |
| HV29 | – – | HK54 | +/– | HY98 | – – |
| HS31 | – – | HS56 | – | HG99 | – – – |
| HS31b | – – | HH57 | +/– | HD100 | – – – |
| HD35 | – – | HD58 | – | HY100a | – – – |
| HY59 | – – | HG101 | +/– | ||
| HV61 | +/– | HV100A | – – | ||
| HS62 | +/– | HD104E | – – | ||
| HK64 | +/– | ||||
| HN65 | – |
+, increase; +/–, moderate increase or no change; –, reduction; – –/– – –, significant reduction.
Figure 5Structural analysis of 8D3 and 9NT variable regions. (A) Structural homology model of 8D3 variable regions. CDR1, CDR2 and CDR3 are shown in blue, yellow and cyan, respectively. (B) and (C) Structural homology model of 8D3 heavy chain variable domain (VH, B) and light chain variable domain (VL, C). CDR1, CDR2 and CDR3 are shown in blue, yellow and cyan, respectively. Framework residues in red were retained, and light chain 53 aspartates were replaced by alanine after CDR grafting on 4D5. (D) The variable regions of 8D3 and 9NT were aligned using the CDR residues. Here, only the CDR residues are shown in color. CDR1, CDR2 and CDR3 of 8D3 are shown in blue, yellow and cyan, respectively. CDR1, CDR2 and CDR3 of 9NT are shown in purple, red and green, respectively. The homology model of the antibody Fv structure was built through the ROSIE web server (http://rosie.rosettacommons.org/) and analyzed in PyMOL.
Figure 6Characterization of the selected anti-IL-17A antibodies 9NT and 9NS. (A) Gel filtration chromatography analysis of purified antibodies. (B) and (C) Thermostability analysis of purified antibodies measured by DSC (B) and thermo gradients (C). The EC50 values and 95% confidence intervals are indicated on the bottom.
Figure 7The in vitro and in vivo activity of the selected anti-IL-17A antibodies 9NT and 9NS. (A) The IL-6 inhibition effects of anti-IL-17 antibodies in IL-17A-stimulated HT1080 cells in vitro. The IC50 values and 95% confidence intervals are indicated on the bottom. (B) The serum Gro-α concentration were tested by ELISA from the mice injected with PBS or with IL-17A (1.5 mg/kg). Pre-incubation of IL-17A with anti-IL17A antibody (2 mg/kg), 9NT inhibited Gro-α secretion. Data are shown as the mean±SEM; ***P < 0.001 compared with the PBS group; ###P < 0.001 compared with the IL-17A group.