Persistence of multidrug-resistant HIV-1 in primary infection leading to superinfection
Bibliographic record
Abstract
OBJECTIVE: The authors previous studies documented persistence of multidrug resistance (MDR) acquired in five primary HIV-1 infection (PHI) cases for 1-2 years in the absence of antiretroviral treatment. This study characterizes the evolution of transmitted wild-type (WT) (n = 15), resistant (n = 10), and MDR (n = 6) infections. Long-term persistence of MDR infections (2-7 years), leading to one observed MDR superinfection is documented. METHODS: Genotypic changes in circulating viral quasi-species were evaluated over 1.5-7 years in patients (n = 31) enrolled in the PHI study. Sequencing of reverse transcriptase and protease regions identified nucleotide substitutions in the viral quasi-species and mutations at sites implicated in resistance to antiretroviral drugs. Phylogenetic and clonal analysis were performed to confirm one observed superinfection. RESULTS: Patients acquiring WT, drug-resistant and MDR infections showed little quasi-species evolution (> 99.6% homology) for more than 1.5 years, regardless of route of transmission. Transmitted resistance mutations (other than 184V) persisted for 2-7 years. MDR persistence in two PHI cases contrasted with the corresponding rapid reversion of MDR infections to WT in their partners following treatment interruption. One MDR transmission eliciting low-level viremia resulted in clearance of the original MDR infection followed by re-infection with a second heterologous MDR strain from a different partner. Phylogenetic and clonal analysis of source and index partner confirmed the superinfection. Both MDR species showed approximately 13-fold reductions in replication capacity relative to the homologous WT strain isolated from the source partner. CONCLUSIONS: Genotypic analysis in PHI may identify superinfection and MDR infections that represent important determinants of virological and treatment outcome.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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".