Impact of genetic variants on B-cell development and function in systemic lupus erythematosus
Bibliographic record
Abstract
Systemic lupus erythematosus (SLE) is an autoimmune disorder characterized by the progressive loss of tolerance to nuclear antigens and the production of pathogenic autoantibodies. Genetic polymorphisms in genes involved in B-cell signaling, PTPN22, CSK, BLK and BANK1 , are associated with susceptibility to SLE. We have utilized a cohort of genotyped healthy subjects to better understand how these genetic variants contribute to the failure of B-cell tolerance seen in SLE. PBMC from these subjects are analyzed using multiparameter flow cytometry to assess the composition of the B-cell compartment and the response of B cells to stimulation via BCR and CD40. Our studies in healthy subjects who carry this variant have demonstrated alterations in the composition of the transitional and naïve B-cell pool. This is functionally correlated with the altered BCR response and enhanced survival of these cells in carriers of the risk variant. Three potentially functional BANK1 SNPs (including a splice branch point-site variant and two coding variants) are associated with SLE. We have shown that the BANK1 risk variants are associated with homeostatic changes in the peripheral B-cell pool that include a significant expansion of the total memory and preswitch memory compartment; and a significant decrease in naïve B cells in subjects homozygous for the BANK1 risk alleles. In further studies we have demonstrated that the BANK1 splice variant is associated with significantly reduced expression of the Δ2 isoform and that the risk haplotype is further associated with blunted proximal BCR signaling in naïve B cells and enhanced p-AKT in memory B cells. Studies are ongoing to investigate the impact of the BANK1 variant on plasma cell differentiation. Studies of healthy subjects who carry SLE risk genes demonstrate alterations in B-cell function and fate. These studies can then be extended to subjects with SLE to understand how these genetic variants impact B-cell development and tolerance in the setting of disease.
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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 | 0.001 | 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".