Neurointermediate pituitary lobectomy decreases the incidence and severity of experimental autoimmune encephalomyelitis in Lewis rats
Bibliographic record
Abstract
Acute experimental autoimmune encephalomyelitis (EAE) is an inflammatory disease of the central nervous system, mediated by T lymphocytes. Immunization of Lewis rats with myelin antigens suspended in complete Freund's adjuvant induces EAE. In a previous study on rats we have found that neurointermediate pituitary lobectomy (NIL) decreased both the humoral and cell-mediated immune responses. Here we investigated the effect of NIL on the incidence and severity of EAE and on the function of the hypothalamic-pituitary-adrenal axis in Lewis rats. NIL, hypophysectomized (Hypox) and sham-operated (Sham) rats were immunized s.c. with guinea-pig brain extract suspended in complete Freund's adjuvant. Untreated rats were used as controls. Water intake, body weight gain, clinical and histopathologic incidence and severity of EAE were evaluated in the operated groups. On killing, plasma adrenocorticotropin and corticosterone levels were measured and adrenals, thymuses and spleens were weighed. Histopathologic lesions were counted in the brain and spinal cord. Water intake and body weight gain were significantly decreased in Sham and Hypox animals with EAE whereas higher intakes persisted in the NIL group. Plasma levels of adrenocorticotropin were within the normal range whereas corticosterone levels increased in Sham and occasionally in NIL animals. Thymus weights were decreased in NIL and Hypox groups. The clinical and histopathologic incidence and severity of EAE were significantly decreased in NIL animals as compared with Sham and Hypox rats. We concluded that NIL affects the cell-mediated immune response and plays a role in the development and progression of EAE in the Lewis rat.
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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 | 0.000 |
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".