DcR3 Mutations in Patients with Juvenile-onset Systemic Lupus Erythematosus Lead to Enhanced Lymphocyte Proliferation
Bibliographic record
Abstract
OBJECTIVE: Previous studies suggested a role for the death decoy receptor 3 (DcR3) in the pathogenesis of adult systemic lupus erythematosus (SLE). We investigated the role of DcR3 in juvenile-onset SLE, to identify polymorphisms that might alter the function of this protein. METHODS: DcR3 was measured in the serum of 61 patients with juvenile SLE. The coding region of the DcR3 gene was sequenced in 100 juvenile and 103 adult patients with SLE, together with 500 healthy controls. RESULTS: DcR3 was elevated in the serum of juvenile patients with active SLE disease (440.8 ± 169.1 pg/ml), compared to patients with inactive disease (122.6 ± 28.05 pg/ml; p = 0.0014) and controls (69.27 ± 20.23 pg/ml; p = 0.0009). DNA sequencing identified 2 novel missense mutations: c.C167T (p.T56I) in an adult SLE patient and c.C364T (p.H122Y) in a juvenile patient. Recombinant proteins containing these mutations exhibited altered binding kinetics to FasL and they significantly increased lymphocyte proliferation, compared to the wild-type protein (p < 0.05). The adult patient with SLE carrying the p.T56I mutation had significantly increased lymphocyte proliferation compared to 3 SLE controls matched for age, sex, and disease severity. CONCLUSION: DcR3 may play an etiologic role in SLE through either elevated serum levels of wild-type DcR3 or normal levels of gain-of-function DcR3 proteins that increase lymphocyte proliferation.
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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) | 0.001 | 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) | 0.002 | 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".