No evidence of porcine endogenous retrovirus in patients with type 1 diabetes after long‐term porcine islet xenotransplantation
Bibliographic record
Abstract
Xenotransplantation is a promising alternative for donor shortage to ameliorate physiologic and metabolic disorders. The major concern for xenotransplant is the risk of zoonosis mainly by the porcine endogenous retrovirus (PERV), presentation in the piglet genome. Twenty-three patients with type 1 diabetes were transplanted with porcine islets using collagen-generating devices which were implanted subcutaneously in the anterior wall of the abdomen. Clinical characteristics and metabolic tests were recorded in each visit. They were tested for PERV using PCR and RT-PCR from blood pretransplantation and every 3 months during a 4.6- to 8-year follow-up after their first xenotransplant. Tests by PCR of every DNA sample (780 samples) revealed that there was no PERV infection in the DNA of white cells. No evidence of PERV activation was found in this group of patients with type 1 diabetes during clinical long-term follow-up.
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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 | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".