B-cell receptor signaling studies in patients with lupus: preliminary results
Bibliographic record
Abstract
There is significant evidence from murine and human genomic studies that B-cell receptor (BCR) signaling abnormalities are potential factors in the pathogenesis of lupus. However, data on signaling deviations in lupus patients are scant. We have undertaken a project to comprehensively study BCR signaling deviations in lupus patients. Peripheral blood mononuclear cells will be isolated and frozen. B cells will be stimulated with F(ab')2 anti-IgM and anti-IgG. Using eight-parameter flow cytometry, we will determine signaling amplitude, as measured by phosphorylated ERK1/2, in IgG memory cells (CD20 IgG ), mature naïve (CD20 ,CD27 ,CD38 ), transitional (CD20 ,CD38 ,CD10 ), B1 (CD20 ,CD27 ) and IgM memory B cells (CD20 ,IgM ,CD27 ,CD86 ). We will measure pERK levels at baseline (time 0), 1 minute (early signal), 5 minutes (peak signal) and 15 minutes (late signal). We will establish normal parameters by studying BCR signaling in 100 nonautoimmune individuals. We will then determine the prevalence of low and high BCR signaling deviations in 100 lupus patients. Signaling deviations will be correlated with clinical data.
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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 | 0.001 | 0.001 |
| 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 | 0.001 | 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".