Changes in serum hepatitis B surface and e antigen, interferon‐inducible protein 10, and aminotransferase levels during combination therapy of immune‐tolerant chronic hepatitis B
Bibliographic record
Abstract
Abstract Background and Aims Treatment of immune‐tolerant (IT) children and adults with combined peginterferon alfa‐2a and entecavir results in a decline in serum HBeAg and HBsAg concentrations but rarely results in loss of HBeAg or sustained off‐treatment response. Factors associated with declines in these viral antigens during treatment remain unexplored. Approach and Results We investigated the pattern of virologic and biochemical response in 86 participants (59 children, 27 adults) by serial quantitative measurement of HBsAg (qHBsAg), quantitative HBeAg (qHBeAg), HBV RNA, interferon‐inducible protein (IP‐10), IL‐18, and alanine aminotransferase (ALT). Each individual had previously been treated with 8 weeks of entecavir followed by 40 weeks of combined peginteferon and entecavir. We defined the interrelationships between these parameters and virologic response measured as nadir declines from baseline for HBeAg and HBsAg. The patterns of HBsAg and HBeAg decline were similar in pediatric and adult participants. Higher levels of IP‐10 were observed during treatment in participants with greater ALT elevations and greater reductions of qHBsAg and qHBeAg. Individuals with peak ALT values exceeding three times the upper limit of normal were significantly more likely to have >1 log 10 decline in both viral antigens. HBV DNA became undetectable in 21 of 86 (24%) and HBV RNA in 4 of 77 (5%) during therapy, but both markers remained negative only in those who became HBsAg negative, all of whom also had ALT elevations. Conclusions Induction of IP‐10 during peginterferon treatment in adults and children in the IT phase of chronic HBV infection is associated with ALT elevations and decline in viral antigens, suggesting a degree of interferon‐inducible viral control.
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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) | 0.001 | 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 | 0.000 |
| 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".