Regenerative Medicine: Antagonic‐Stress® Therapy in Distress and Aging. I. Preclinical Synthesis—2003
Bibliographic record
Abstract
Repetitive and cumulative distress (acute and/or chronic, psychic and/or biologic) and aging processes (impairment phenomena, agglomerated, and accumulated with the passing of life and senescence periods), as well as distress <==> aging reciprocal amplification-accelerating-aggravation relationships require strong and rational (etiopathogenic) therapeutic interventions. Therefore, the drug, Antagonic-Stress (AS)--a new integrative therapy, with specific synergistic formula, being patented worldwide--becomes an important solution in distress, senescence, and their related pathologies. In acute (contention) stress, AS treatment significantly decreased rat mortality, number and surface of stomach ulcerations, nonesterified fatty acids (NEFAs), and increased superoxide dismutase (SOD) from blood. In chronic psychic stress, live nerve cells selectively isolated from rat cerebral cortex were highly protected by the administration of AS. In addition, antistress and antiaging homeostatic actions of AS were demonstrated in accelerated senescence (aging + distress) at multiple brain levels: on functional anabolism [increase in total ribonucleic acids (RNA), total proteins (TP), and water-soluble proteins (WSP)]; on functional catabolism [decrease in water-insoluble proteins (WIP)]; on structural anabolism (increased regeneration of free ribosomes, rough endoplasmic reticulum, mitochondria, and Nissl bodies); on structural catabolism (lipofuscinolysis and ceroidolysis, neurono-glial transfer of lipopigment continuously processed and dissoluted, and finally capillary elimination). Preclinical research with AS demonstrated important regenerative processes in the key organs (liver, heart, and brain), which mostly suffer due to both distress and senescence.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.004 |
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".