CpG increases vaccine antigen-specific cell-mediated immunity when administered with hepatitis B vaccine in HIV infection
Bibliographic record
Abstract
BACKGROUND: Lack of adequate adjuvancy is a possible explanation for lack of vaccine immunogenecity. Immunostimulatory CpGs are potent vaccine adjuvants and may be an important component of the development vaccines, particularly those for which a cellular immune response is required for protection. We have previously demonstrated that CpG ODN co-administration with hepatitis B vaccine results in earlier, stronger and more sustained antibody responses to hepatitis B surface antigen in HIV infected individuals, and wished to determine if, in this population, helper T-cell responses were also enhanced. METHODS: We conducted a double-blind, placebo-controlled trial in hepatitis B susceptible, effectively treated HIV-seropositive individuals. Participants received hepatitis B vaccine, with either placebo or CPG 7909 1.0 mg at week 0, 4 and 8. To determine the impact of CpG on cellular immune responses, lymphoproliferative responses (LPR) were evaluated by [3H]-thymidine incorporation at baseline and weeks 4, 8, 12, 24, and 48. Immunophenotyping of lymphocyte subsets was also determined at these time points. RESULTS: Of 36 patients enrolled, 18 received hepatitis B vaccine alone, and 18 received hepatitis B vaccine with CpG. Inclusion of CPG 7909 was associated with a greater proliferative response to HBsAg at all time points following initial vaccination. This increase was statistically significant at 8 weeks (p = 0.042) and 48 weeks (p = 0.024). Similar results were observed when LPR were evaluated as stimulation indices (SI). No differences in proliferative responses to HIV p24 Ag were observed, nor were there any differences in lymphocyte subsets. CONCLUSION: In addition to enhancing humoral responses to vaccination, we describe for the first time that CPG 7909 enhances cellular immunity to vaccine antigen in a typically hyporesponsive population. This adjuvancy may be important in the development of an effective vaccine for which a cellular immune response is required for protection.
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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 | 0.001 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 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".