A Three Monoclonal Antibody Combination Potently Neutralizes Multiple Botulinum Neurotoxin Serotype E Subtypes.
Consuelo Garcia-RodriguezAli RazaiIsin N GerenJianlong LouFraser ConradWei-Hua WenShauna Farr-JonesTheresa J SmithJennifer L BrownJanet C SkerryLeonard A SmithJames D MarksPublished in: Toxins (2018)
Human botulism is most commonly caused by botulinum neurotoxin (BoNT) serotypes A, B, and E. For this work, we sought to develop a human monoclonal antibody (mAb)-based antitoxin capable of binding and neutralizing multiple subtypes of BoNT/E. Libraries of yeast-displayed single chain Fv (scFv) antibodies were created from the heavy and light chain variable region genes of humans immunized with pentavalent-toxoid- and BoNT/E-binding scFv isolated by Fluorescence-Activated Cell Sorting (FACS). A total of 10 scFv were isolated that bound one or more BoNT/E subtypes with nanomolar-level equilibrium dissociation constants (KD). By diversifying the V-regions of the lead mAbs and selecting for cross-reactivity, we generated three scFv that bound all four BoNT/E subtypes tested at three non-overlapping epitopes. The scFvs were converted to IgG that had KD values for the different BoNT/E subtypes ranging from 9.7 nM to 2.28 pM. An equimolar combination of the three mAbs was able to potently neutralize BoNT/E1, BoNT/E3, and BoNT/E4 in a mouse neutralization assay. The mAbs have potential utility as therapeutics and as diagnostics capable of recognizing multiple BoNT/E subtypes. A derivative of the three-antibody combination (NTM-1633) is in pre-clinical development with an investigational new drug (IND) application filing expected in 2018.
Keyphrases
- monoclonal antibody
- endothelial cells
- randomized controlled trial
- clinical trial
- air pollution
- particulate matter
- dna methylation
- binding protein
- photodynamic therapy
- molecular dynamics simulations
- escherichia coli
- mesenchymal stem cells
- genome wide
- transcription factor
- heavy metals
- cell therapy
- zika virus
- saccharomyces cerevisiae
- bioinformatics analysis
- placebo controlled