CALPAIN ACTIVITY MAINTAINS GOOD HEALTH OF CENTENARIAN T CELLS; SUMMARY OF THE CALPACENT PROJECT
Bibliographic record
Abstract
Causes of aging-associated deterioration of human immunity, and the reasons why the immune system of the oldest old individuals (centenarians) is relatively robust, remain moot. Intracellular proteolysis system of two proteases – µ- and m-calpain – and their inhibitor – calpastatin (the calpain-calpastatin system (CCS)) - is active in resting human peripheral blood T cells, participating in maintenance of their readiness to proliferate and secrete cytokines in response to stimulation. The amounts of the CCS proteins decrease in resting T lymphocytes of healthy elderly, only to return in the centenarians to those levels seen in the young individuals. We compared the calpain activities and the levels of transcription of the CCS genes in the resting and stimulated peripheral blood T lymphocyte populations of young, elderly and centenarians, and correlated these activities with the strength of proliferative and cytokine secretion responses to a polyclonal stimulation. Calpain activities significantly decrease in the resting T cells of the elderly compared to the young, and rise again in centenarian lymphocytes, in parallel to the relatively higher proliferative and secretory dynamics and CCS genes’ transcription in the centenarian than in elderly T cells. Calpain activity seems to increase the levels of phosphorylation of chosen signal transduction molecules. Concluding, we propose that the CCS activity is essential for the maintenance of adequate level of the T cell responses, that its decrease in the elderly is one of the reasons for the immunosenescence, while its relative preservation may facilitate relative robustness of T cell responses in the centenarians.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".