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Role of Immune Cells in Hepatitis B Virus and Associated Sequelae

2025· review· en· W4415627790 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAnnual Review of Pathology Mechanisms of Disease · 2025
Typereview
Languageen
FieldMedicine
TopicHepatitis B Virus Studies
Canadian institutionsToronto Liver CentreUniversity of Toronto
Fundersnot available
KeywordsImmune systemHepatitis B virusVirusPathogenesisHepatitis BFibrosisHepatitisHepatocyteHepatocellular carcinoma

Abstract

fetched live from OpenAlex

Hepatitis B virus (HBV) chronically infects 250 million people worldwide, making it a primary risk factor for progressive liver disease. The virus itself is not responsible for liver damage. HBV can replicate at very high levels and produces large amounts of viral antigen, but this does not lead to hepatocyte death or liver inflammation. Instead, pathogenesis of chronic hepatitis B (CHB) is driven by the interaction between the host immune system and the virus. In chronically infected individuals, the HBV-specific immune response is dysfunctional and not able to clear the infection. This inability to clear the virus leads to aberrant immune activation in the liver, causing hepatocellular damage that, over time, leads to fibrosis, cirrhosis, and liver cancer. This review covers two aspects of sequalae associated with CHB: ( a ) mechanisms of tissue damage leading to fibrosis and ( b ) dysfunctional features of HBV-specific immunity.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.342
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0060.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.014
GPT teacher head0.319
Teacher spread0.305 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it