PERIPHERAL BLOOD B CELL SUBSETS IN PATIENTS WITH EARLY AND ESTABLISHED SYSTEMIC LUPUS ERYTHEMATOSUS
Bibliographic record
Abstract
PV003 / #307 Poster Topic: AS01 - Adaptive Immunity Background/Purpose To examine B cell subsets in peripheral blood of patients (pts) with early and established systemic lupus erythematosus (SLE), and to analyze the association between the B cell subsets and SLE activity. Methods Peripheral blood of 20 healthy donors, 134 patients (118 women (88%) and 16 men (12%)) with a SLE (SLICC 2012), Me(IQR) age 34 (26-41) years, disease duration 3.0 (0.3-12.0) years; 84 patients had a disease duration of more than 18 months, 50 patients had early SLE (disease duration of less than 18 months), SLEDAI-2K 7 (4-11)) were assessed for B cell subpopulations. CD19+B cells, memory B cells (CD19+CD27+), non-switched memory B cells (CD19+IgD+CD27+), switched memory B cells (CD19+IgD-CD27+), naïve (CD19+IgD+CD27-), double negative (CD19+IgD-CD27-), transitional (CD19+IgD+CD10+CD38++CD27-) B cells and plasmablasts (CD19+CD38+++IgD-CD27+CD20-) were assessed by multicolor flow cytometry. Results In pts with SLE, compared to healthy donors was found the higher percentage of memory B cells, non-switched memory B cells, transitional and plasmablasts; higher absolute level switched memory B cells, transitional and plasmablasts; lower percentage and absolute level naïve B cells. In pts with early SLE, was seen the higher percentage of B cells, higher absolute level of B cells, memory B cells, non-switched and switched memory B cells, naïve, double negative, transitional B cells and lower percentage of plasmablasts (Table 1). In pts with early SLE we found a significant positive correlation between the percentage of double negative B lymphocytes and SLICC (r=0.3), positive correlation between the proteinuria and B lymphocytes (r=0.35), memory B cells (r=0.38), switched memory B cells (r=0.42), double negative lymphocytes (r=0.42); a negative correlation between the percentage of transitional cells and SLICC (r=0.33). Table 1. Conclusions Pts with early SLE have higher levels of B cells, non-switched and switched memory B cells, naïve, double negative, transitional B cells and lower levels of plasmablasts. The level of memory В-cell, switched memory cells, and double negative cells correlates with the level of autoantibodies, the development of nephritis, and the SLICC index.
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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 | 0.000 | 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) | 0.003 | 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".