No evidence of cross‐species transmission of mouse retroviruses to animal workers exposed to mice
Bibliographic record
Abstract
BACKGROUND: Although recent data have brought into question the association between xenotropic murine leukemia virus-related virus (XMRV) and chronic fatigue syndrome, one group has reported evidence of human infection with distinct polytropic murine leukemia viruses (MLVs). Occult retroviral infection among humans poses a significant public health risk should it be introduced into the blood supply. To explore the possibility of cross-species transmission of MLVs to humans, we sought molecular and serologic evidence of XRMV/MLV infection among a cohort of animal workers highly exposed to mice. STUDY DESIGN AND METHODS: Before the commencement of the study, the laboratory and equipment were demonstrated to be free of XMRV/MLV DNA sequences. DNA extracted from 43 animal workers was tested using nested polymerase chain reaction (PCR) with published primer sets, targeting regions of XMRV and MLV gag. Negative controls were assayed in a 1:1 ratio with specimens. Serum specimens were tested using a validated immunoblot assay containing cross-reactive XMRV antigens. RESULTS: Initial molecular assays demonstrated that the physical space and laboratory equipment were free of MLV and XMRV DNA sequences. Nested PCR assays using multiple primer sets successfully amplified XMRV and MLV sequences from positive controls with high sensitivity. A single, nonreproducible, false-positive result from one specimen was shown to be the result of subsequent contamination. Immunoblotting of all subjects' sera failed to demonstrate any evidence of seroreactivity to XMRV proteins. CONCLUSIONS: There was no evidence of human infection with XMRV/MLV among a cohort of individuals highly exposed to mice. These data suggest that the likelihood of cross-species transmission events of MLV from mice to humans is low.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".