CD4 binding-site antibodies induced by a subtype B HIV-1 envelope trimer
Bibliographic record
Abstract
Abstract In the last decade considerable advances have been made towards the design of HIV-1 vaccines that induce neutralizing antibodies (NAbs). Despite the progress, no vaccine is able to consistently elicited broadly neutralizing antibodies (bNAbs). Here we present a case study of a rabbit that was immunized with a subtype B native like envelope glycoprotein (Env) trimer, AMC016 SOSIP.v4.2, with a dense and intact glycan shield, followed by a trivalent combination of subtype B trimers. After the priming phase serum from this animal neutralized several heterologous subtype B neutralization resistant (tier 2) viruses. Subsequent immunization with the trivalent combination of subtype B trimers further increased the breadth and potency of the NAb response. EM based polyclonal epitope mapping revealed that a cross reactive CD4 binding-site (CD4bs) antibody response, that was present after priming with the monovalent trimer and boosting with the trivalent combination, was most likely responsible for the broad neutralization. While anecdotal, this study provides proof-of-concept that native-like Env trimers are capable of inducing CD4bs-directed bNAb responses and should guide efforts to improve the consistency with which such responses are generated.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".