Evaluation of cellular and humoral autoimmunity before the development of type 1 diabetes in a patient with idiopathic <scp>CD</scp>4 lymphocytopenia
Bibliographic record
Abstract
Abstract A 64‐year‐old woman developed type 1 diabetes 23 years after the diagnosis of idiopathic CD 4 lymphocytopenia. To investigate the etiological interaction between idiopathic CD 4 lymphocytopenia and type 1 diabetes, we carried out a longitudinal analysis related to islet‐specific autoimmunity. Anti‐glutamic acid decarboxylase antibody had been already weakly positive for at least 16 years and started rising at 6 months before the onset of type 1 diabetes. The seroconversion of anti‐insulinoma‐associated antigen‐2 antibody and insulin autoantibody occurred at the time of onset. The ratio of CD 8/ CD 4 had been gradually increasing for 8 years before type 1 diabetes onset. Notably, islet‐specific glucose‐6‐phosphatase catalytic subunit‐related protein‐reactive CD 8 + T cells were detected at type 1 diabetes onset, and the frequency was higher than that in 15 non‐diabetic controls (6.75% vs 0.49 ± 0.78%, mean ± SD ). The present type 1 diabetes patient, presented with idiopathic CD 4 lymphocytopenia and showed an elevated number of CD 8 + T cells, including the islet antigen‐specific CD 8 + T cells that might contribute to autoimmune destruction of pancreatic β‐cells.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 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".