A novel platform for engineering blood‐brain barrier‐crossing bispecific biologics
Bibliographic record
Abstract
The blood‐brain barrier (BBB) prevents the access of therapeutic antibodies to central nervous system (CNS) targets. The engineering of bispecific antibodies in which a therapeutic “arm” is combined with a BBB‐transcytosing arm can significantly enhance their brain delivery. The BBB‐permeable single‐domain antibody FC5 was previously isolated by phenotypic panning of a naive llama single‐domain antibody phage display library. In this study, FC5 was engineered as a mono‐ and bivalent fusion with the human Fc domain to optimize it as a modular brain delivery platform. In vitro studies demonstrated that the bivalent fusion of FC5 with Fc increased the rate of transcytosis ( P app ) across brain endothelial monolayer by 25% compared with monovalent fusion. Up to a 30‐fold enhanced apparent brain exposure (derived from serum and cerebrospinal fluid pharmacokinetic profiles) of FC5‐compared with control domain antibody‐Fc fusions after systemic dosing in rats was observed. Systemic pharmacological potency was evaluated in the Hargreaves model of inflammatory pain using the BBB‐impermeable neuropeptides dalargin and neuropeptide Y chemically conjugated with FC5‐Fc fusion proteins. Improved serum pharmacokinetics of Fc‐fused FC5 contributed to a 60‐fold increase in pharmacological potency compared with the single‐domain version of FC5; bivalent and monovalent FC5 fusions with Fc exhibited similar systemic pharmacological potency. The study demonstrates that modular incorporation of FC5 as the BBB‐carrier arm in bispecific antibodies or antibody‐drug conjugates offers an avenue to develop pharmacologically active biotherapeutics for CNS indications.—Farrington, G. K., Caram‐Salas, N., Haqqani, A. S., Brunette, E., Eldredge, J., Pepinsky, B., Antognetti, G., Baumann, E., Ding, W., Garber, E., Jiang, S., Delaney, C., Boileau, E., Sisk, W. P., Stanimirovic, D. B., A novel platform for engineering blood‐brain barrier‐crossing bispecific biologics. FASEB J. 28, 4764–4778 (2014). www.fasebj.org
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".