Bibliographic record
Abstract
Insulin is an immuno-modulating molecule enhancing cytotoxic T-cell function and supporting intermediary metabolism in activated lymphocytes. Insulin also maintains the activated state of mitogen-stimulated lymphocytes. Because of the importance of allo-antigen response of diabetic patients for infections and transplant immunity, we explored the role of insulin in the allo-activated state of lymphocytes. Allo-stimulation was provided in one-way mixed lymphocyte reactions, with Balb/C mouse lymph node cells responding to irradiated spleen cells of C57BL/6 mice, in culture under conditions which permitted evaluation of hormonal modulation. Mixed lymphocyte reactions established in fetal calf serum, insulin-depleted by passage over antibody affinity columns, were of equal magnitude to those in insulin-replete serum. A weak but positive mixed lymphocyte reaction can be effected with an artificial serum substitute containing no additional hormone. Provision of insulin (10 nmol/l) restored a full mixed lymphocyte reaction response which was mimicked by addition of transferrin. The insulin-transferrin combination was not additive. In conclusion, insulin and transferrin maintain the allo-activated state of the mouse lymphocyte, transferrin alone being sufficient when full antigenic stimulation is provided. If the same applies to human lymphocytes, insulin-deficient diabetic patients will respond to full allo-antigen challenge, and so should be fully capable of mounting a transplant immune response.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.006 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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; both teacher heads agree on what is shown here.
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".