Phenotypic Coreceptor Tropism in Perinatally HIV-infected Youth Failing Antiretroviral Therapy
Bibliographic record
Abstract
BACKGROUND: Perinatally HIV-infected (PHIV) children and youth are often heavily treatment-experienced, with resultant antiretroviral resistance and limited treatment options. For those with virologic failure (VF), new agents such as CCR5 (R5) antagonists may be useful; however, reports of R5 antagonist susceptibility in children have mostly relied on genotypic testing, which may not accurately reflect the phenotypic tropism of the viral populations. We characterized phenotypic coreceptor usage among PHIV children and youth with VF on antiretroviral treatment to identify predictors of CXCR4 (X4) tropism which preclude R5 antagonist use. METHODS: Plasma samples with >1000 HIV RNA copies/mL were obtained from 73 PHIV antiretroviral treatment-treated children and youth (age 9-21 years) enrolled in the multicenter Pediatric HIV/AIDS Cohort Study. Samples were analyzed using the Trofile phenotypic assay. Multiple logistic regression was performed to identify factors associated with detectable X4 tropism. RESULTS: Tropism results were obtained for 59 (81%) of the 73 children and youth; 32 (54%) had X4-tropism. Persistent viremia (≥80% of HIV RNA measurements >400 copies/mL) was associated with detectable X4 tropism (adjusted odds ratio: 6.6, 95% confidence interval: 1.4, 31.4), while longer cumulative nucleoside reverse transcriptase inhibitor use was associated with lower risk of X4 tropism (adjusted odds ratio: 0.6, 95% confidence interval: 0.5, 0.9). CONCLUSIONS: Using a phenotypic assay, >50% of PHIV children and youth with VF had X4 tropism, similar to that in experienced adults, and higher than the 30% reported for children using genotypic assays. Persistent viremia and shorter nucleoside reverse transcriptase inhibitor exposure are associated with X4-tropism in children and youth and may help target phenotypic testing to those most likely to benefit from R5 antagonist.
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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 | 0.002 |
| 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 | 0.000 | 0.000 |
| 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".