Blockade of immune‐cell vasopressin receptors by V1a antagonist inhibit the peak of the experimental autoimmune encephalomyelitis (EAE) in Lewis rats.
Bibliographic record
Abstract
Previous experiments established that in Lewis rats surgical ablation of the neurointermediate pituitary lobectomy (NIL) significantly decreases the clinical and central nervous system histopathological signs of EAE, whereas desmopressin (DP), a synthetic analog of vasopressin (VP) administration to NIL animals, restores the susceptibility to EAE. The presence of vasopressin receptors and AV stimulatory actions on immune cells has been described. If VP from the neural lobe is involved in the EAE response, the blockade of the VP receptors in immunocytes with a VP V1a antagonist (Cat V1880, Sigma), will protect the normal rats against the EAE. Two groups of 8 female rats were used. I.M. injections of saline solution or antagonist AV receptors (0.75 μg/Kg B.W. each 12 hours) started one week before the EAE immunization. Results showed that antagonist treatment induced a significant decrease in EAE clinical score during the peak of the disease (2.2±0.7 vs. 0.8±0.2 p<0.05). The degree of protection against EAE is similar to that observed in NIL rats. Our findings strongly support the concept that VP plays an important role in the EAE physiopathology. Supported by Universidad Autónoma de Aguascalientes. México. PIFF‐05‐4N.
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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) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".