Baseline Insulin Secretion Determines Response to Abatacept in Stage 1 Type 1 Diabetes
Bibliographic record
Abstract
Abatacept, a cytotoxic T lymphocyte–associated protein 4 immunoglobulin that inhibits T-cell costimulation, was evaluated for 12 months in stage 1 type 1 diabetes (T1D) to delay disease progression. Despite modest preservation of area under the curve C-peptide at 12 months, the primary end point was not met. We adopted the oral minimal model (OMM) to assess β-cell function over 48 months and explored how baseline insulin secretion (ϕtotal) modified treatment response. Using the OMM, ϕtotal was computed from oral glucose tolerance tests conducted at baseline and every 6 months. Participants were stratified into high- and low-secretor groups depending on baseline ϕtotal ≥33rd or <33rd centile, respectively. A sensitivity analysis was performed to validate threshold choice. Among 203 participants (abatacept n = 96; 107 placebo n = 107), 39% receiving abatacept and 47% receiving placebo experienced progression to stage 2 or 3 within 96 months. High secretors receiving abatacept gained 15.8 progression-free months (95% CI 4.85, 26.68; P = 0.005) and had a 54% lower hazard of progression versus those receiving placebo (hazard ratio [HR] 0.46; 95% CI 0.25, 0.84; P = 0.012). Treatment effect differed significantly by secretor status (interaction HR 2.92; 95% CI 1.23, 6.96; P = 0.015). A subgroup of responders to 12 months of abatacept was identified by ϕtotal, providing the first evidence that an immune intervention in stage 1 T1D may delay disease progression. ARTICLE HIGHLIGHTS: We sought to investigate whether baseline insulin secretion (ϕtotal), quantified using the oral minimal model assessing β-cell function, could identify a subgroup of responders to abatacept (a cytotoxic T lymphocyte-associated protein 4 immunoglobulin that inhibits T-cell costimulation) among those with stage 1 type 1 diabetes (T1D). Abatacept preserved ϕtotal during and up to 1 year after treatment cessation; high baseline secretors treated with abatacept gained ∼16 months of progression-free survival and had a 54% lower hazard of progression versus those receiving placebo, whereas no benefit was observed in low secretors. This is the first evidence of an immune intervention delaying disease progression in those with stage 1 T1D. Continued treatment may result in a greater delay in progression.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".