Effects of Neurointermediate Pituitary Lobectomy on Humoral and Cell-Mediated Immune Responses in the Rat
Bibliographic record
Abstract
OBJECTIVE: Chronic stress is characterized by an increased activity of the hypothalamic-pituitary-adrenocortical axis and decreased humoral and cell-mediated immune responses. In the rat, corticosterone is the principal natural immune suppressor. Neurointermediate pituitary lobectomy (NIL) in rats induces diabetes insipidus and protracted increases in basal adrenocorticotropin and corticosterone plasma levels, a situation that resembles chronic stress. In this paper, we evaluated the effects of NIL on humoral (hemagglutinin titers and footpad swelling to sheep red blood cells--SRBC) and cell-mediated immune responses (contact hypersensitivity to dinitrochlorobenzene). METHODS: The studies were conducted on NIL Wistar rats (body weight 150-200 g) 3 weeks after surgery. For comparisons, nonoperated control rats were used. RESULTS: NIL resulted in an increased water intake. Body weight gain and adrenal, thymus, and spleen weights were within the range of nonoperated controls. Eight days after SRBC immunizations a second SRBC injection into the footpad resulted in a decreased swelling response in NIL rats. The hemagglutinin titers were also reduced in the NIL rats. CONCLUSIONS: These results indicate that: (1) NIL reduces humoral immune responses and decreases the cell-mediated immune response; (2) the immune alterations are most likely due to the increased activity of the hypothalamic-pituitary-adrenocortical axis induced by NIL, and (3) NIL animals constitute a valuable paradigm to study hypothalamic-pituitary-immune interactions.
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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 | 0.001 |
| 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".