Discordant phenotypes and genotypes of Cytomegalovirus (CMV) in patients with AIDS and relapsing CMV retinitis
Bibliographic record
Abstract
OBJECTIVE: To investigate the correlation between genotypic studies performed on blood leukocytes and phenotypic results obtained from the corresponding blood viral isolates in AIDS patients with relapsing cytomegalovirus (CMV) retinitis. METHODS: Sequential blood samples were collected from patients failing intravenous or oral ganciclovir therapy. The CMV UL97 gene was amplified directly from leukocyte DNA extracts for assessing the presence of viral mutations using restriction fragment length polymorphism analysis and direct sequencing. Positive viral cultures from the same blood samples were also analyzed for their susceptibility to ganciclovir and their UL97 genotype was determined. RESULTS: Discordant CMV genotypes between the clinical specimen and the viral culture were found in at least one blood sample from three of the four patients with relapsing CMV retinitis. Furthermore, some UL97 mutations at known resistance codons (592, 594) were associated with a drug-susceptible phenotype. In all four cases, genotypic analyses of blood samples better correlated with clinical progression than phenotypic analyses of viral cultures. CONCLUSIONS: The presence of mixed viral populations in blood samples of AIDS patients and the potential selection bias introduced by susceptibility testing may underestimate the real impact of CMV resistance in patients failing antiviral therapy.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".