Enterovirus infections and type 1 diabetes
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Type 1 (insulin-dependent) diabetes is a typical organ-specific autoimmune disease where insulin-producing beta cells are destroyed by immune mediated mechanisms. The risk of the disease is modulated by genetic factors, mainly genes coding for human leukocyte antigens (HLA), but environmental factors are needed to trigger the process in genetically susceptible individuals. Possible viral triggers of the disease have been sought for years but their identification has been very difficult. Recently, considerable progress has been made by employing new research methods which have supported the idea that the group of enteroviruses may be particularly important in the pathogenesis. An association between enterovirus infections and type 1 diabetes was first reported 30 years ago and since then evaluated in several studies. Recent molecular studies have considerably strengthened this hypothesis by showing that enterovirus genome is present in the blood of diabetic patients. In addition, the first prospective studies have suggested that enterovirus infections may initiate the beta-cell damaging process several years before clinical diabetes is diagnosed. Ecological studies have also indicated similarities in the epidemiology of type 1 diabetes and poliomyelitis - a well-known enterovirus disease. Experimental models, like enterovirus-infected mice or in vitro-cultured beta cells, have provided important information about possible mechanisms, but still it is not known how beta cells are destroyed in human beings. The ongoing prospective studies will answer many open questions, and should the association still hold true, intervention trials will be needed to confirm causality. Even if enterovirus infections were not associated with all diabetes cases but rather with a subgroup of them, this would offer attractive possibilities to prevent the disease or part of it, for example, by an enterovirus vaccine.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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