| Literature DB >> 35361822 |
Merve Arslan1,2, Murat Karadag1,2, Ebru Onal1,3, Emine Gelinci1, Gulcin Cakan-Akdogan1,4, Sibel Kalyoncu5.
Abstract
Single chain antibody fragments (scFvs) are favored in diagnostic and therapeutic fields thanks to their small size and the availability of various engineering approaches. Linker between variable heavy (VH) and light (VL) chains of scFv covalently links these domains and it can affect scFv's bio-physical/chemical properties and in vivo activity. Thus, scFv linker design is important for a successful scFv construction, and flexible linkers are preferred for a proper pairing of VH-VL. The flexibility of the linker is determined by length and sequence content and glycine-serine (GS) linkers are commonly preferred for scFvs based on their highly flexible profiles. Despite the advantage of this provided flexibility, GS linkers carry repeated sequences which can cause problems for PCR-based engineering approaches and immunogenicity. Here, two different linkers, a repetitive GS linker and an alternative non-repetitive linker with similar flexibility but lower immunogenicity are employed to generate anti-Vascular Endothelial Growth Factor scFvs derived from bevacizumab. Our findings highlight a better in vitro profile of the non-repetitive linker such as a higher monomer ratio, higher thermal stability while there was no significant difference in in vivo efficacy in a zebrafish embryonic angiogenesis model. This is the first study to compare in vivo efficacy of scFvs with different linkers in a zebrafish model.Entities:
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Year: 2022 PMID: 35361822 PMCID: PMC8971466 DOI: 10.1038/s41598-022-09324-4
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1(A) Schematic representation of designed L1 and L2 scFvs. (B) SDS-PAGE analysis of purified L1 and L2. Full image of the SDS-PAGE gel is provided in Supplementary Figure 1. (C) SEC chromatograms of L1 (blue) and L2 (orange) from SE-HPLC analysis.
Properties of L1 and L2 variants.
| Flexibility score | Immunogenicity score | MW (kDa) | Monomer/dimer ratio (monomer %) | % Insoluble aggregates* | |
|---|---|---|---|---|---|
| L1 | 0.47 | −1.09 | 32.8 | 95.7 ± 0.7 | 88.5 ± 2.8 |
| L2 | 0.53 | −0.06 | 31.9 | 66.5 ± 3.2 | 90.2 ± 4.3 |
*Percent insoluble aggregation was calculated by subtracting soluble protein concentration from total concentration after thermal (60 °C) and mechanical (220 rpm) stress for 4 h. The average of 3 different samples was used.
Figure 2Thermal melting temperatures of L1 and L2. Transition mid-points (Tm values) from fluorescent thermal melt assays were calculated by Hill equation fit. The assay was repeated 3 times.
Figure 3Binding kinetics of Bevacizumab, L1 and L2 fragments to their antigen, VEGF. (A) Obtained kinetic parameters. Sensogram overlays for (B) bevacizumab (C) L1 and (D) L2. Antibody concentrations are expressed on corresponding curves. Analyses were repeated 2 times.
Figure 4In vivo angiogenesis inhibition by L1, L2 and bevacizumab. (A) Lateral view of subintestinal vessels (SIVs) in fli1:EGFP transgenic zebrafish larvae at 3 dpf. (B) PBS (negative control) (C) 27.5 μM bevacizumab (D) 55 μM L1, (E) 55 μM L2 were injected into yolk of 2 dpf fli1:EGFP transgenic zebrafish embryos. At 3 dpf, zebrafish SIVs were imaged by confocal microscopy. (F) Percentages of average SIV areas were quantified. The outcomes are expressed as AVG ± SD. nPBS = 25, nbevacizumab = 24, nL1 = 24, nL2 = 23. Statistical analysis was performed using one-tail t-test. Statistical results: n.s. p > 0.05, ****p < 0.0001.