CPG 7909 adjuvant improves hepatitis B virus vaccine seroprotection in antiretroviral-treated HIV-infected adults
Bibliographic record
Abstract
BACKGROUND: HIV patients are vaccine hyporesponsive. METHODS: We evaluated CPG 7909, a synthetic oligodeoxynucleotide containing immunostimulatory CpG motifs, as an adjuvant to Engerix-B. A randomized, double-blind controlled trial was conducted to determine safety and hepatitis B virus (HBV) immunogenicity in adult HIV subjects on effective antiretroviral therapy. HBV-susceptible subjects, half of whom had failed previous vaccination, were vaccinated at 0, 1 and 2 months with a double dose of Engerix-B with/without (+/-) 1 mg CPG 7909. HBV immune subjects (anti-HBsAg titres > or = 10 mIU/l) received either CPG 7909 alone or saline. Safety, anti-HBs titres and lymphocyte proliferation response (LPR) to HBsAg were assessed over 12 months. RESULTS: Vaccinations with Engerix B +/- CPG 7909 were well tolerated locally and systemically. HIV suppression and CD4 cell counts were maintained. Anti-HBs titers were significantly higher in vaccinees receiving CPG 7909, for all time points after the second dose. Seroprotective titres (> or = 10 mIU/ml) by 6 and 8 weeks, and 12 months were found in 89, 89, and 100% of subjects receiving CPG 7909 compared to 53, 42, and 63% of controls respectively (P = 0.029, 0.005, and 0.008). HBsAg LPR was increased at all time-points up to 12 months after vaccination with addition of CPG 7909 (P < 0.05). CONCLUSIONS: Addition of CPG 7909 achieves rapid, higher, and sustained HBV seroprotection and increases HBV-specific T helper cell response to HBV vaccine in HIV subjects. These results confirm a potential adjuvant role for CPG 7909 in vaccine hyporesponsive populations including those living with HIV.
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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 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".