The role of arginine vasopressin and oxytocin as immunomodulatory hormones on experimental autoimmune encephalomyelitis (876.1)
Bibliographic record
Abstract
Arginine vasopressin (AVP) and oxytocin (OXT) are pleiotropic hormones released from the neurohypophysis. We demonstrated that neurointermediate pituitary lobectomy (NIL) in rats significantly protects against experimental autoimmune encephalomyelitis (EAE), a demyelinating T cell‐mediated disease of the central nervous system (CNS), whereas administration of desmopressin (DP, an AVP synthetic analog), restores the susceptibility of the NIL animals to EAE. Since immune cells have AVP and OXT receptors, we investigated whether OXT beside AVP, has also an immunomodulatory role on EAE. A comparative study of the effects of NIL, NIL+ DP and NIL+ carbetocin (CBT, a synthetic OXT analog) on clinical symptoms of EAE and on the number of CNS infiltrating lymphocytes were assessed. Animals were immunized for EAE one week after starting the administration of DP and CBT. EAE clinical signs were evaluated daily and CNS lymphocytes were separated with Percoll gradient. In NIL rats DP restored susceptibility to EAE and increased lymphocytic infiltration in the CNS while CBT resulted in very mild EAE symptoms and no changes in CNS lymphocytes. In conclusion, AVP has more powerful immunomodulatory effects than OXT.
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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 | 0.000 | 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) | 0.001 | 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".