Epstein‐Barr virus latent gene EBNA‐1 genetic diversity among transplant patients compared with patients with infectious mononucleosis
Bibliographic record
Abstract
INTRODUCTION: As a step toward evaluating the association between Epstein-Barr virus genetic diversity and post-transplant lymphoproliferative disorder (PTLD), we conducted a preliminary study to compare the genetic diversity of the EBNA-1 gene among transplant patients and patients with infectious mononucleosis (IM). METHODS: We sequenced the EBNA-1 gene in blood samples from study subjects using Sanger methodology. The sequences were aligned with a reference strain and compared with publicly available sequences. RESULTS: We analyzed 33 study samples and 25 publicly available sequences along with the reference strain B95-8. The evaluable samples were from sixteen patients with IM (median age 14.0 years, range 2-24) and 17 transplant patients. There were six children without PTLD (median age 1.93 years, range 0.79-7.46) and 11 who developed PTLD (median age 5.67 years, range 0.96-17.45). A predominant EBNA-1 variant (P-thr) was identified across the study groups. Differences were observed between the samples from the IM patients compared with the transplant samples. CONCLUSION: The predominant EBNA-1 strain is in contrast to reports of the predominant strain in North America. The results suggest differences between the EBNA-1 strains among the study groups. Further studies will examine the relationship between EBNA-1 strains and PTLD occurrence and outcomes.
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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) | 0.001 | 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 | 0.000 |
| 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".