Effects of Neurointermediate Pituitary Lobectomy and Desmopressin on Acute Experimental Autoimmune Encephalomyelitis in Lewis Rats
Bibliographic record
Abstract
OBJECTIVE: The role of arginine vasopressin (AVP) as a direct immune regulator has not yet been clarified, and more work is needed to assess its involvement in the immunoneuroendocrine network. In the present study, the effects of neurointermediate pituitary lobectomy (NIL) and desmopressin (DP), an agonist of AVP, on acute experimental autoimmune encephalomyelitis (EAE) in female Lewis rats were evaluated. The activity of the hypothalamic-pituitary-adrenocortical (HPA) axis was also assessed. METHODS: Five groups of rats were used, as follows: (1) sham-operated (SHAM) rats, (2) SHAM + DP rats, (3) NIL rats, (4) NIL + DP rats and (5) untreated normal control rats. DP treatment started 2 weeks after surgery, and immunization to induce EAE was carried out 1 week later. RESULTS: SHAM rats developed full-blown clinical and histological signs of EAE and activation of the HPA axis. SHAM + DP animals had mild clinical signs of EAE, inflammatory infiltrations in the spinal cord and an activated HPA axis. NIL animals developed minimal EAE, scanty spinal cord inflammation and no changes in HPA axis activity. NIL + DP rats developed severe clinical signs of EAE, extensive spinal cord inflammatory infiltrations and marked activation of the HPA axis. CONCLUSIONS: NIL decreased the cell-mediated immune response, while DP in NIL animals restored the immune response. AVP is directly involved in the maintenance of immune competence.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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 | 0.000 |
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".