Effects of arginine vasopressin deficiency on innate immunity in the rat
Bibliographic record
Abstract
Immune and vascular endothelial cells possess arginine vasopressin (AVP) receptors. AVP is an important stimulating/regulatory hormone in acquired immunity, whereas its role on innate immunity (INIM) is not well known. Neurointermediate pituitary lobectomy (NIL) in the rat causes permanent low AVP serum levels. Here, we investigate the AVP and INIM relationship in NIL rats (3 weeks after surgeries) subject to INIM tests: Phagocytic index (PI) (peritoneal macrophages (M θ ) erytrophagocytosis), and Skin Evans blue extravasation‐histamine doses‐response test. In the Study 1, NIL group was compared against Intact control (IC), sham operated (SHAM) and anterior pituitary lobectomysed (AL) groups. In the study 2, NIL group was compared against IC, NIL+desmopressin (a synthetic analog of AVP) and IC+conivaptan (antagonist of V1a‐V2 AVP receptors) groups. Results: Study 1 showed that as compared with the IC and AL groups, PI was significant decreased in NIL animals. In the Evans blue extravasation‐histamine test study, a significant and similar increases of skin edema histamine doses‐dependent occurred in NIL and IC+conivaptan groups, whereas no significant differences in IC and NIL+desmopressin groups were appreciated. Conclusion AVP plays an important role in phagocytic activity of the peritoneal M θ and for the stabilization of the vascular endothelial cells permeability during histamine inflammation. Supported by UAA‐PIFF 14‐1. Universidad Autónoma de Aguascalientes, México and the Jarislowsky and Lloyd Carr‐Harris Foundations.
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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) | 0.000 | 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) | 0.001 | 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".