Reactivated CD4+Tm Cells of T1D Patients and Siblings Display an Exaggerated Effector Phenotype With Heightened Sensitivity to Activation-Induced Cell Death
Bibliographic record
Abstract
Dysfunction in effector memory has been proposed to contribute to autoimmunity in type 1 diabetes (T1D). Using a unique cohort of age- and sex-matched T1D patients, nonaffected siblings, and unrelated control children, we undertook a detailed analysis of proliferation, activation, effector responses, and apoptosis in reactivated CD4(+)Tm cells during T-cell receptor stimulation. Across cohorts, there was no difference in the proliferation of reactivated CD4(+)Tm cells. In T1D patients and siblings, CD4(+)Tm cells easily acquired the activated CD25(+) phenotype and effectively transitioned from a central (CD62L(+)Tcm) to an effector memory (CD62L(-)Tem) phenotype with an elevated cytokine "signature" comprising interferon (IFN)-γ and interleukin-10 in T1D patients and IFN-γ in siblings. This amplified Tem phenotype also exhibited an exaggerated immune shutdown with heightened sensitivity to activation-induced cell death and Fas-independent apoptosis. Apoptosis resulted in the elimination of one-half of the effector memory in T1D patients and siblings compared with one-third of the effector memory in control subjects. These data suggest genetic/environment-driven immune alteration in T1D patients and siblings that manifests in an exaggerated CD4(+)Tem response and shutdown by apoptosis. Further immunological studies are required to understand how this exaggerated CD4(+)Tem response fits within the pathomechanisms of T1D and how the effector memory can be modulated for disease treatment and/or prevention.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".