Presence of antimitochondrial autoantibodies in patients with autoimmune hepatitis
Bibliographic record
Abstract
BACKGROUND AND AIM: Antimitochondrial autoantibodies (AMA) are known to be a hallmark of primary biliary cirrhosis, and it has been suggested that AMA play a crucial role in generating biliary changes. Biliary tract lesions are not uncommon in patients with autoimmune hepatitis (AIH) and previous works have demonstrated that AMA are occasionally detectable in sera of patients with AIH. Therefore, the role of AMA as a cause of bile duct lesions in AIH livers should be addressed. The aim of the present study was to determine whether the presence of AMA is associated with clinical features, especially the occurrence of bile duct lesions, in patients with AIH. METHODS: Forty-one patients diagnosed as having AIH according to the revised scoring system of the International Autoimmune Hepatitis Group were enrolled in this study. Clinical data were retrospectively reviewed, and histological findings of the liver were investigated. AMA reactivity was determined by immunoblotting using beef heart mitochondria as antigens. RESULTS: Although not found in any enrolled patient by conventional indirect immunofluorescence, AMA were detectable in 14 out of 41 patients (34%). Clinical parameters including biochemistry, autoantibody profile, and responses to treatment were similar irrespective of AMA status. Bile duct lesions were noted in 14/14 (100%) and 23/27 (85%) of AMA-positive and -negative patients with AIH, respectively (P = 0.134). There was no statistically significant difference in the grade of inflammation or stage of fibrosis between the two groups. CONCLUSION: Antimitochondrial autoantibodies were found to be present in sera of patients with AIH more frequently than expected, even at very low titer. However, clinical features and histological findings of AIH were not influenced by the AMA status.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".