Modulation of the Outcome and Severity of Hepadnaviral Hepatitis in Woodchucks by Antibodies to Hepatic Asialoglycoprotein Receptor
Bibliographic record
Abstract
Viral hepatitis is frequently accompanied by humoral autoimmune responses toward both organ-nonspecific and liver-specific antigens, but contribution of these reactivities to liver injury remains unrecognized. Infection with woodchuck hepatitis virus (WHV) has been identified as a potent inducer of autoantibodies against asialoglycoprotein receptor (anti-ASGPR), a molecule essentially unique to hepatocytes that mediates clearance of desialylated serum proteins. In this study, we applied the WHV-woodchuck model of hepatitis B to examine the effect of experimentally elicited anti-ASGPR on the progression and the severity of WHV hepatitis in initially healthy animals immunized with the receptor and then infected with WHV and in woodchucks with ongoing chronic WHV hepatitis. The results implied that the induction of anti-ASGPR prior to WHV infection tends to modulate acute viral hepatitis toward chronic outcome and, in animals with established chronic WHV infection, exacerbates histologic severity of liver lesions. The findings also suggest that the liver compromised by chronic hepadnavirus infection might be prone to anti-ASGPR-directed complement-mediated hepatocellular injury and that this is associated with formation of the ASGPR-anti-ASGPR immune complexes on hepatocyte surface. In conclusion, the host's immune response mounted against a hepatocyte-specific autoantigen may modulate both the outcome and the severity of liver injury in viral hepatitis.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".