Effects of selective pituitary hormone deficiencies on macrophage phagocytic activity in rat (911.2)
Bibliographic record
Abstract
We showed that neurointermediate pituitary lobectomy (NIL) decreases whereas anterior pituitary lobectomy (AL) increases humoral and cell‐mediated immune responses. Studies indicate that PRL and GH are immune stimulatory/modulatory hormones. Macrophages (Mθ) have receptors for AVP, OXT, PRL and GH. In order to obtain a deeper insight into the role of anterior and posterior pituitary hormones on innate immunity, Mθ phagocytic activity was assessed in NIL, AL, HYPOX, sham operated (SHAM) and Control rats. Carbon black (CB) blood clearance, phagocytic index, CB blood half‐life time (T1/2), and histologic changes in liver, spleen and lung were also studied. Results. CB clearance was faster in SHAM > Control > NIL > HYPOX > AL rats. Differences were noted only in AL with slower clearance, suggesting that adenohypophysial but not neurohypophysial hormones are responsible for the faster CB clearance. Phagocytic index was decreased in NIL rats, indicating that AVP and OXT are required to regulate phagocytic activity. Blood CB T1/2 was 10 minutes in Control and SHAM rats, and 20, 17 and 18 minutes in AL, HYPOX and NIL rats. The longer T1/2 suggests that all pituitary hormones participate in CB clearance. Liver, spleen and lung histology showed Mθ markedly loaded with CB. These findings indicate that adenohypophysial and neurohypophysial hormones participate differently in the regulation of Mθ phagocytic activity. Grant Funding Source : CONACYT MEXICO 62317
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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 | 0.001 |
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".