Tumor necrosis factor‐<b>α</b> and transforming growth factor‐<b>β</b> reflect severity of liver damage in primary biliary cirrhosis
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND AND AIMS: The pathogenesis of primary biliary cirrhosis (PBC) is unknown. The role of cytokines such as tumor necrosis factor-alpha (TNF-alpha) and transforming growth factor-beta (TGF-beta), and the effect of ursodeoxycholic acid (UDCA) in modifying the cytokine environment in patients with PBC has remained largely unstudied. Our aims were to determine: (i) the relationship between serum levels of TNF-alpha and TGF-beta and the severity of PBC; and (ii) the effects of UDCA therapy on TNF-alpha and TGF-beta levels in patients with PBC. METHODS: We studied 90 patients who had been treated with UDCA (53 patients) or placebo (37 patients) for 2 years as part of a randomized, double-blind, controlled trial. Patients were divided into histological stage I/II or stage III/IV disease. Serum TNF-alpha and TGF-beta levels were quantified by enzyme-linked immunoabsorbent assay. RESULTS: Baseline levels of TNF-alpha were significantly greater in patients with stage III/IV compared to stage I/II disease. After 2 years of treatment with UDCA, patients showed a significantly greater decrease in TNF-alpha levels and progression risk score compared to placebo-treated patients. TNF-alpha and TGF-beta levels were significantly reduced compared to baseline levels in the UDCA-treated group after 2 years, while there was no significant change in the levels of placebo-treated patients. CONCLUSIONS: Serum TNF-alpha and TGF-beta levels may reflect severity of disease in patients with PBC. The beneficial effects of UDCA therapy may be explained by lowering serum levels of these two cytokines.
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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) | 0.001 | 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) | 0.000 | 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