Tracking B cell immunity during perturbation of hepatitis B infection induced by treatment withdrawal
Bibliographic record
Abstract
BACKGROUND: Withdrawal of prolonged nucleos(t)ide analogue (NA) treatment results in hepatitis B surface antigen (HBsAg) loss in some subjects with chronic hepatitis B (CHB), potentially revealing immune correlates of functional cure. OBJECTIVE: We investigated whether baseline or longitudinal changes in humoral immunity correlated with outcome of discontinuing prolonged NA treatment. DESIGN: Global memory B cells (MBC) and T follicular helper cells (Tfh) were analysed by flow cytometry. HBs (small surface)/HBc (core)-MBC were quantified by ex-vivo bait staining and function assessed by cultured ELISpots (enzyme-linked immunosorbent spots). Immune parameters assessed at end-of-treatment (EOT), 12 and 48 weeks after treatment withdrawal (and at 4-8 years in a subset) were correlated with intrahepatic and longitudinal serum viral markers and alanine transaminase (ALT). RESULTS: and functionally defective. Following treatment withdrawal, increases in class-switched HBc-MBC were frequently temporally linked with hepatic flares. Subjects achieving HBsAg loss had an increase in activated global MBC detectable at EOT that become more marked by week 48, accompanied by significant increases in plasmablasts. HBs-MBC in those with HBsAg loss showed significant reductions in PD-1, trends to increased activation (CD71) and function and a more robust correlation with Tfh, compared with HBsAg persistence. MBC changes were maintained 4-8 years after HBsAg seroconversion. CONCLUSION: Differences in global and HBs-specific B cell immunity associate with HBsAg loss, whereas HBc-MBC temporally associates with flares, following withdrawal of prolonged NA treatment. Our results underscore the need to further explore the potential of B cell targets for monitoring and enhancing HBV functional cure in larger cohorts.
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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) | 0.000 | 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".