Clonal characteristics of paired infiltrating and circulating B lymphocyte repertoire in patients with primary biliary cholangitis
Bibliographic record
Abstract
BACKGROUND: PBC is a prototypical autoimmune liver disease characterized by portal lymphoplasmacyte infiltration. ALD is a prototypical environment-driven disease, featured by mild lymphocyte infiltration. We hypothesize that B cells are more involved in the pathogenesis of PBC. By analysing the infiltrating B cell repertoire, we aimed to unveil greater oligoclonal expansion and active clonal exchange between liver and periphery in PBC than in ALD patients. METHODS: Using NGS of Ig H chain genes, we analysed the liver-infiltrating and paired peripheral B lymphocyte repertoire from nine PBC and four ALD patients. RESULTS: In the liver of PBC and ALD patients, (i) roughly 10% of the B lymphocytes were clonally related and highly expressed, and there were also lineages that underwent extensive clonal expansion; (ii) there was different use of IGHV/IGHJ segments between PBC and ALD, suggesting distinct Ag exposure backgrounds, but this did not lead to a significant difference in their clonal expansion level. Analysis of data sets from paired samples further revealed, (iii) direct clonal exchange and evolutionally related B cell clones between the infiltrating and peripheral repertoire; (iv) the seeding of the infiltrating clones to periphery, and peripheral ones to the liver, for further extensive evolution. CONCLUSIONS: The oligoclonally expanded nature of the infiltrating B cell repertoire implies B cell immunity is involved in the pathogenesis of both diseases. The observed clonal exchange might provide an approach to identify and monitor the infiltrating B cells through the periphery.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.002 | 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".