Antimitochondrial antibody serocoversion post-liver transplant during hepatitis C treatment with peginterferon α, ribavirin and telaprevir
Bibliographic record
Abstract
Pegylated interferon alpha (PEG-IFN α), a key component of chronic hepatitis C therapy, has been linked to the development of auto-antibodies and autoimmune disease. We report the first case of antimitochondrial antibody (AMA) seroconversion during PEG-INF α based therapy after liver.1-4 transplantation. A fiftyseven year-old man five months after liver transplantation was initiated on hepatitis C triple therapy with PEG-INF α, ribavirin and telaprevir. He had failed previous PEG-IFN α and ribavirin 12 years pre-transplant and his AMA remained negative pre-transplant. After twelve weeks of antiviral therapy, he developed elevated liver enzyme tests associated with an AMA seroconversion to seropositivity. A liver biopsy failed to show histological evidence of primary biliary cirrhosis or graft rejection. He was initiated on urseodeoxycholic acid with subsequent improvement of his liver enzymes. This case demonstrates that despite adequate immunosuppression, AMA seroconversion may occur post-transplant during interferon-based therapy. As AMA seroconversion did not occur during the pre-transplant PEG-IFN therapy, we speculate that donor allograft antigens in combination with PEG-IFN may have been a factor in the post-transplant seroconversion.
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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) | 0.000 | 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 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".