Promiscuous Glycan Site Recognition by Antibodies to the High-Mannose Patch of gp120 Broadens Neutralization of HIV
Bibliographic record
Abstract
Broadly neutralizing monoclonal antibodies (bnmAbs) that target the high-mannose patch centered around the glycan at position 332 on HIV Env are promising vaccine leads and therapeutic candidates because they effectively protect against mucosal SHIV challenge and strongly suppress SHIV viremia in established infection in macaque models. However, these antibodies demonstrate varying degrees of dependency on the N332 glycan site, and the origins of their neutralization breadth are not always obvious. By measuring neutralization on an extended range of glycan site viral variants, we found that some bnmAbs can use alternate N-linked glycans in the absence of the N332 glycan site and therefore neutralize a substantial number of viruses lacking the site. Furthermore, many of the antibodies can neutralize viruses in which the N332 glycan site is shifted to the 334 position. Finally, we found that a combination of three antibody families that target the high-mannose patch can lead to 99% neutralization coverage of a large panel of viruses containing the N332/N334 glycan site and up to 66% coverage for viruses that lack the N332/N334 glycan site. The results indicate that a diverse response against the high-mannose patch may provide near-equivalent coverage as a combination of bnmAbs targeting multiple epitopes. Additionally, the ability of some bnmAbs to use other N-linked glycan sites can help counter neutralization escape mediated by shifting of glycosylation sites. Overall, this work highlights the importance of promiscuous glycan binding properties in bnmAbs to the high-mannose patch for optimal antiviral activity in either protective or therapeutic modalities.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".