Nanolipoprotein Particles as a Delivery Platform for Fab Based Therapeutics

化学 结合 马来酰亚胺 纳米颗粒 组合化学 纳米技术 高分子化学 数学 数学分析 材料科学
作者
Martine Darwish,Whitney Shatz-Binder,Brandon Leonard,Kelly M. Loyet,Kathy Barrett,Janice L. Wong,Hong Li,Ryan Abraham,May Lin,Yvonne Franke,Christine Tam,Kyle Mortara,Inna Zilberleyb,Craig Blanchette
出处
期刊:Bioconjugate Chemistry [American Chemical Society]
卷期号:31 (8): 1995-2007 被引量:12
标识
DOI:10.1021/acs.bioconjchem.0c00349
摘要

Nanolipoprotein particles (NLPs), a lipid bilayer-based nanoparticle platform, have recently been developed for in vivo delivery of a variety of molecules of therapeutic interest, but their potential to deliver Fabs with valencies that exceed those of current multivalent formats has not yet been evaluated. Here we describe the development, optimization, and characterization of Fab-NLP conjugates. NLPs were generated with maleimide reactive lipids for conjugation to a Fab with a C-terminal cysteine. Of note, maleimide reactive lipids were shown to conjugate to the apolipoprotein when the NLPs were assembled at pH 7.4. However, this undesirable reaction was not observed when assembled at pH 6. Site-specific Fab conjugation conditions were then optimized, and conjugation of up to 30 Fab per NLP was demonstrated. Interestingly, although conjugation of higher numbers of Fabs had a significant impact on NLP molecular weight, only a minimal impact on NLP hydrodynamic radius was observed, indicating that particle size is largely dictated by the discoidal shape of the NLP. Fab-NLP viscosity and its stability upon lyophilization were also evaluated as an assessment of the manufacturability of the Fab-NLP. Significantly higher Fab concentrations were achieved with the Fab-NLP conjugates relative to another multivalent format (Fab-PEG conjugates). Fab conjugation to the NLP was also not found to have an impact on Fab activity in both an inhibitory and agonist setting. Finally, the stability of the Fab-NLP conjugates was evaluated in 50% serum and Fab-NLPs demonstrated increased stability, with >63% of Fab-NLP remaining intact after 24 h at Fab per particle ratios of 7 or greater. Our findings suggest Fab-NLPs are a promising platform for the targeted delivery of Fabs in a multivalent format and are compatible with established manufacturing processes.
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