Multiplexed Evaluation of Serum and CSF Pharmacokinetics of Brain-Targeting Single-Domain Antibodies Using a NanoLC–SRM-ILIS Method
Bibliographic record
Abstract
FC5 and FC44 are single-domain antibodies (VHHs), selected by functional panning of phage-display llama VHH library for their ability to internalize human brain endothelial cells (BEC) and to transmigrate the in vitro BBB model. Quantification of brain delivery of FC5 and FC44 in vivo was challenging using classical methods because of their short plasma half-life and their loss of functionality with radioactive labeling. A highly sensitive (detection limit <2 ng/mL) and specific SRM-ILIS method to detect and quantify unlabeled VHHs in multiplexed assays was developed and applied to comparatively evaluate brain delivery of FC5 and FC44, and two control VHHs, EG2 and A20.1. FC5 and FC44 compared to control VHHs demonstrated significantly (p < 0.01) enhanced transport (50-100-fold) across rat in vitro BBB model as well as in vivo brain targeting assessed by optical imaging. The multiplexed SRM-ILIS analyses of plasma and CSF levels of codosed VHHs demonstrated that while all 4 VHHs have similar blood pharmacokinetics, only FC5 and FC44 show elevated CSF levels, suggesting that they are potential novel carriers for delivery of drugs and macromolecules across the BBB.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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".