(5R)-5-hydroxytriptolide for HIV immunological non-responders receiving ART: a randomized, double-blinded, placebo-controlled phase II study
Bibliographic record
Abstract
Background Therapeutic approaches to HIV-suppressed immunological non-responders (INRs) remain unsettled. We previously reported efficacy of Chinese herbal Tripterygium wilfordii Hook F in INRs. Its derivative (5R)-5-hydroxytriptolide (LLDT-8) on CD4 T cell recovery was assessed. Methods The phase II, double-blind, randomized, placebo-controlled trial was conducted in adults patients with long-term suppressed HIV infection and suboptimal CD4 recovery, at nine hospitals in China. The patients were 1:1:1 assigned to receive oral LLDT-8 0.5 mg or 1 mg daily, or placebo combined with antiretroviral therapy for 48 weeks. All study staff and participants were masked. The primary endpoints include change of CD4 T cell counts and inflammatory markers at week 48. This study is registered on ClinicalTrials.gov (NCT04084444) and Chinese Clinical Trial Register (CTR20191397). Findings A total of 149 patients were enrolled from Aug 30, 2019 and randomly allocated to receiving LLDT-8 0.5 mg daily (LT8, n = 51), 1 mg daily (HT8, n = 46), or placebo (PL, n = 52). The median baseline CD4 count was 248 cells/mm 3 , comparable among three groups. LLDT-8 was well-tolerated in all participants. At 48 weeks, change of CD4 counts was 49 cells/mm 3 in LT8 group (95% confidence interval [CI]: 30, 68), 63 cells/mm 3 in HT8 group (95% CI: 41, 85), compared to 32 cells/mm 3 in placebo group (95% CI: 13, 51). LLDT-8 1 mg daily significantly increased CD4 count compared to placebo (p = 0.036), especially in participants over 45 years. The mean change of serum interferon-γ-induced protein 10 was −72.1 mg/L (95% CI −97.7, −46.5) in HT8 group at 48 weeks, markedly decreased compared to −22.8 mg/L (95% CI −47.1, 1.5, p = 0.007) in placebo group. Treatment-emergent adverse events (TEAEs) were reported in 41 of 46 (89.1%) participants in HT8 group, 43 of 51 (84.3%) in LT8, and 42 of 52 (80.7%) in PL group. No drug-related SAEs were reported. Interpretation LLDT-8 enhanced CD4 recovery and alleviated inflammation in long-term suppressed INRs, providing them a potential therapeutic option. Fundings Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences, Shanghai Pharmaceuticals Holding Co., Ltd., and the National key technologies R&D program for the 13th five-year plan.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".