Predictive Value of Interleukin-7 Levels for Virological Response to Treatment in HIV-1-Infected Children
Bibliographic record
Abstract
We recently reported that interleukin-7 (IL-7), a potent stimulator of lymphopoiesis, is an independent predictor of virological response to antiretroviral therapy (ART) in HIV-1 infected adults. To determine if this cytokine also predicts treatment response in HIV-1-infected children, a longitudinal study was performed over 48 weeks in 36 treatment-naïve children vertically infected with HIV-1. Subjects who received treatment (n = 29) were stratified as complete virological responders (n = 12), partial virological responders (n = 11), or non-responders (n = 6), based on decline in viral load from baseline to week 48. Median plasma IL-7 levels at baseline were higher in complete responders (4.85 pg/mL, interquartile range [IQR] = 3.35-6.5) than in untreated controls (2.10 pg/mL, IQR = 1.50-3.50; p = 0.05). Linear regression analysis showed that baseline IL-7 levels were positively correlated with changes in HIV-1 viral load between baseline and week 24 (r = 0.40; p = 0.03) and between baseline and week 48 (r = 0.34; p = 0.07), but not with corresponding changes in CD4+ T-cell percentages and absolute counts. Collectively, these results indicate that IL-7 levels at baseline are predictive of virological but not immunological response to ART in children infected with HIV-1.
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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 | 0.004 |
| 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 | 0.001 |
| 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 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".