Decreases in splanchnic vascular resistance contribute to hypotensive effects of<scp>l</scp>-serine in hypertensive rats
Bibliographic record
Abstract
l-Serine administration reduces mean arterial pressure (MAP) in spontaneously hypertensive rats (SHR) and Wistar-Kyoto (WKY) rats rendered hypertensive by chronic oral treatment with the nitric oxide synthase inhibitor N(omega)-nitro-l-arginine methyl ester (l-NAME). To determine if the fall in MAP was due to decreases in vascular resistance or cardiac output (CO), and to record regional hemodynamic effects, we measured the distribution of fluorescent microspheres to single bolus intravenous injections of l-serine (1 mmol/kg) in 14-wk-old male WKY, SHR, and l-NAME-treated WKY rats. MAP and total peripheral resistance (TPR) were significantly higher (P < 0.01), whereas CO was lower in l-NAME-treated WKY (P < 0.01) and SHR (P < 0.05). l-Serine administration led to a rapid fall in MAP (WKY 22%, l-NAME-WKY 46%, SHR 34%,) and TPR (WKY 24%, l-NAME-WKY 68%, SHR 53%), whereas CO was elevated. In WKY rats, l-serine induced an increase in blood flow only in the small intestine (53%) while it was more profound in several vascular beds of hypertensive rats [l-NAME-WKY: small intestine (238%), spleen (184%), diaphragm (85%), and liver (65%); SHR: small intestine (217%), spleen (202%), diaphragm (116%), large intestine (105%), pancreas (96%), and liver (93%)]. Pretreatment with a combination of apamin (a small calcium-activated potassium channel inhibitor) and charybdotoxin (an intermediate calcium-activated potassium channel inhibitor) abolished the l-serine-induced changes in blood flow and TPR. l-Serine acts predominantly on apamin- and charybdotoxin-sensitive potassium channels in the splanchnic circulation to increase blood flow, thereby contributing to the fall in TPR and the pronounced blood pressure-lowering effect of l-serine in hypertensive rats.
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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 | 0.000 |
| 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".