Molecular characterization of intrahepatic and extrahepatic hepatitis B virus (HBV) reservoirs in patients on suppressive antiviral therapy
Bibliographic record
Abstract
The hepatitis B virus (HBV) replicates via an error-prone reverse transcriptase generating potential drug-resistant quasispecies. The degree of HBV variability in liver vs peripheral blood mononuclear cells (PBMC) in patients on long-term suppressive antivirals is unclear. We characterized HBV replication, drug resistance and molecular diversity in patients with plasma HBV DNA undetectable by clinical assays. Explant liver (n=9), PBMC (n=6) and plasma (n=7) from nine such patients undergoing liver transplantation were evaluated for HBV genomes by sensitive PCR/nucleic acid hybridization assay. Cases with HBV DNA in liver and PBMC were tested for covalently closed circular DNA (HBV cccDNA). HBV polymerase (P) amplicons were cloned, sequenced and both P and overlapping surface (S) gene sequences were analysed. HBV DNA was detected in 43% (3/7) of plasma, 100% (9/9) of liver and 83% (5/6) of PBMC samples. HBV cccDNA was detected in all liver and one PBMC sample. Four patients had a clinical diagnosis of resistance. HBV P gene sequencing revealed 100% wild type (wt) in plasma (2/2), 83% wt in PBMC (5/6) but livers of 3/9 (33%) contained wt and 6/9 (66%) carried resistance to lamivudine and/or adefovir. The translated S gene revealed no changes affecting HBV antigenicity. Sequences from livers with antiviral resistant mutants revealed greater interpatient quasispecies diversity. Despite apparent HBV suppression, the liver continues to support HBV replication and extrahepatic HBV can be detected. PBMC may be a sanctuary for wt virus during antiviral therapy, while the liver harbours more drug-resistant viruses. Drug resistance correlates with intrahepatic viral diversity.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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 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".