Isolation of enterovirus strains from children with preclinical Type 1 diabetes
Why this work is in the frame
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Bibliographic record
Abstract
AIMS: To develop methods for isolation of enterovirus strains from subjects with preclinical Type 1 diabetes and evaluate if their presence in stools is associated with beta-cell damage. METHODS: The study subjects were participants of the Finnish Type 1 Diabetes Prediction and Prevention Study (DIPP). The prospectively followed birth cohort comprised 12 children who turned positive for diabetes-associated autoantibodies during the follow-up (case children) and 53 controls matched for date of birth, sex and HLA-DQB1 alleles. Altogether, 878 stool samples were analysed for the presence of enterovirus RNA by RT-PCR followed by virus isolation and partial sequencing of viral genome. Enterovirus antibodies and RNA were simultaneously analysed from serum. RESULTS: Eleven enterovirus infections were diagnosed in case children and 42 infections in control children by the presence of viral RNA in stools. The proportion of children who were repeatedly enterovirus RNA-positive stools was higher among case than control children (42% vs. 11% of children; P=0.02). Combined serum (antibody and RT-PCR) and stool analyses indicated at least one enterovirus infection in 83% of the case children before the appearance of autoantibodies, while only 42% of the control children had infection by the same age (P=0.006). Twelve enterovirus strains were isolated from case children and 38 strains from control children. CONCLUSIONS: This protocol makes it possible to isolate a large number of enterovirus strains from prediabetic subjects. The findings suggest that enterovirus infections may be associated with the beta-cell damaging process.
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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 | 0.000 | 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 it