HIV-specific CD8 T-cell activity in uninfected injection drug users is associated with maintenance of seronegativity
Bibliographic record
Abstract
OBJECTIVES: To determine whether HIV-exposed, uninfected subjects (EUs) having HIV-specific effector activity are at a reduced risk for seroconverting compared with EUs with no HIV-specific effector responses. DESIGN: Twenty-eight intravenous drug users (IVDU) with documented risk for HIV infection over a 1-year period were screened for the presence of HIV-specific CD8+ effector cell activity. Group I included 18 IVDUs who remained seronegative despite exposure to HIV through needle sharing with partner(s) known to be HIV infected. Group II included 10 IVDUs who seroconverted after similar HIV exposure. METHODS: The enzyme-linked immunospot (ELIspot; Mabtech AB, Nacka, Sweden) assay was used to measure the frequency of HIV-specific interferon-gamma secreting cells. Peripheral blood mononuclear cells (PBMC) were stimulated with a panel of synthetic HIV peptides in a major histocompatibility complex class I antigen-restricted fashion. PBMC from group II were obtained from timepoints 7 months or less before seroconversion. RESULTS: Twelve of 18 (66.7%) persistently seronegative subjects versus none of 10 seroconverters exhibited detectable HIV-specific effector responses at the sampling date (P < 0.001; Fisher's exact test). This represents an odds ratio of 40.38 (95% confidence intervals 2.95 to > 3000). CONCLUSION: EUs who have developed HIV-specific effector responses are at a reduced risk for seroconversion compared with EUs who do not develop this type of immunity. This observation supports the hypothesis that HIV-specific effector responses are a correlate of immune protection from HIV infection.
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 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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".