Antibodies to the CD4-binding site of HIV-1 gp120 suppress gp120-specific CD4 T cell response while enhancing antibody response
Bibliographic record
Abstract
BACKGROUND: The binding of Abs to the CD4-binding site (CD4bs) of HIV-1 envelope gp120 has been shown to obstruct the processing and generation of helper epitopes from this antigen, resulting in poor presentation of various gp120 epitopes by MHC class II to CD4 T cells. However, the physiologic significance of these inhibitory anti-CD4bs Abs in vivo has remained unclear. In this study, we evaluated the immunologic effects of anti-CD4bs Abs in vivo using a murine model. RESULTS: Animals were immunized with recombinant envelope proteins with or without CD4-binding activity (designated CD4bs+ Env and CD4bs- Env, respectively). As expected, anti-CD4bs Abs were generated only after immunization with CD4bs+ Env and not with CD4bs- Env. The presence of anti-CD4bs Abs was associated with lower levels of envelope-specific lymphoproliferation in animals immunized with CD4bs+ Env. To further determine the specific role of the anti-CD4bs Abs, we immunized mice with gp120 in the presence of an inhibitory anti-CD4bs mAb or a non-inhibitory anti-gp120 mAb. The data show that the presence of anti-CD4bs mAb reduced CD4 T cell responses to gp120. However, we also detected significantly higher titers of anti-gp120 Abs following immunization with gp120 and the anti-CD4bs mAb. CONCLUSION: Anti-CD4bs Abs can exert discordant effects on the gp120-specific CD4 T cell and Ab responses in vivo, indicating the importance of these particular Abs in influencing both the cellular and the humoral immune responses against HIV-1.
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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) | 0.001 | 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 | 0.001 | 0.002 |
| 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".