Antibody-Dependent Cellular Cytotoxicity Activity of Effector Cells from HIV-Infected Elite and Viral Controllers
Bibliographic record
Abstract
Carriage of alleles encoding certain inhibitory natural killer (NK) cell receptor/HLA ligand KIR3DL1/HLA-B combinations is associated with protection from HIV infection and slow time to AIDS, implicating NK cells in HIV control. NK cells also mediate antibody-dependent cellular cytotoxicity (ADCC). ADCC has been identified as a correlate of protection in secondary analyses of the modestly protective RV144 Thai HIV vaccine trial. In ADCC, HIV envelope (Env)-specific antibodies (Abs) bridge HIV-infected or gp120-coated target cells and NK cells expressing CD16 receptors for Ab Fc domains. CD16 engagement activates NK cells to secrete cytokines/chemokines, degranulate, deliver granzyme B (GrB) to target cells, and cytolysis. A subset of HIV+ subjects, known as slow progressors (SPs), maintains low-level viremia without treatment. HIV+ SPs versus progressors have higher titers and/or a greater breadth of ADCC-competent Abs. Investigations of the functional capacity of NK effector cells following CD16 engagement in HIV+ subjects are lacking. We used the ADCC-GranToxiLux (ADCC-GTL) assay to assess the frequency of GrB+ (%GrB+) cells generated by effector cells from 37 HIV+ SPs and 15 progressors to gp120-coated CEM.NKr.CCR5 target cells in the presence of anti-Env Abs. Subject groups were stratified according to whether or not they carried educating KIR3DL1/HLA-B combinations able to confer NK cells with functional potential. No differences were observed in %GrB+ target cells generated by effector cells from carriers of educating versus noneducating KIR3DL1/HLA-B pairs. The absence of an effect of NK cell education on this readout may be due to loss of the ability of educated NK cells from SPs to respond to Ab-dependent stimulation and/or the lower frequency of KIR3DL1+ than KIR3DL1− NK cells that coexpress CD16. That KIR/HLA genotypes have minimal impact on interindividual differences in ADCC potency has relevance for therapeutic interventions that target ADCC for HIV control.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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) | 0.001 | 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 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".