Analysis and clinical correlation of genetic variation in cytomegalovirus
Bibliographic record
Abstract
BACKGROUND: Cytomegalovirus (CMV) displays genetic polymorphisms in multiple genes, which may result in important virulence differences. Glycoprotein N (gN) and immediate early 1 (IE1) are key viral genes and immune targets. We aimed to characterize the molecular epidemiology of gN and IE1 genotypes in organ transplant patients with CMV disease in the context of clinical and virologic endpoints. METHODS: A total of 240 patients with CMV disease had genotyping analysis by nested polymerase chain reaction assays and sequencing using blood samples obtained at disease onset. Results were correlated with viral clearance kinetics and recurrence. RESULTS: Complex patterns of gN and IE1 genotypes were present with no clear genetic linkages. No single genotype of IE1 or gN was associated with poorer outcome. For example, different gN or IE1 genotypes had comparable baseline viral load, clearance half-lives, time to clearance, and rates of virologic recurrence. Mixed infection was present at IE1 in 15.8% and gN in 21.9%, but analysis of a single gene was insufficient to detect all mixed infections. Infections caused by multiple strains, as opposed to single strains, were associated with higher baseline viral loads (P = 0.011), delayed viral clearance (P = 0.033), and higher rates of virologic recurrence (P = 0.008). CONCLUSIONS: Genetic diversity in CMV is complex. Specific gN or IE subtypes do not seem to affect in vivo viral virulence patterns in single-strain infections. Mixed infections demonstrate associations with virologic outcomes that single-strain infections do not.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".