Characterization of a novel tetrandrine-induced contraction in rat tail artery.
Bibliographic record
Abstract
AIM: In an attempt to pharmacologically characterize the Chinese antihypertensive drug, tetrandrine, we observed in rat-tail arteries, an unusual contraction in tissues that were stimulated with high [KCl] and not those stimulated with phenylephrine. The characteristics of this contraction were studied. METHODS: Segments of perfused ventral rat-tail arteries (RTA) were contracted with a depolarizing concentration (120 mmol/L) of KCl or with phenylephrine (3.0 micromol/L). At peak contraction, they were exposed to tetrandrine (40 micromol/L), which caused marked relaxation in each case. Washing the RTA led to an unusual, slowly-declining contraction, hereafter referred to as tetrandrine-induced contraction (TIC) which was also observed when the tissues were exposed to 80 micromol/L, but not 10 micromol/L or 20 micromol/L of tetrandrine. RESULTS: Pretreatment with phentolamine (non-selective alpha-adrenoceptor antagonist), prazosin (selective alpha1-adrenoceptor antagonist) or 6-hydroxydopamine (for denervation), but not rauwolscine or atropine abolished the TIC. Treatment with ouabain (Na+/K+-ATPase inhibitor) did not sustain the contraction. Changing the depolarizing concentrations of KCl to 80 mmol/L or 100 mmol/L did not alter the TIC, but at 60 mmol/L, it was abolished. CONCLUSION: The data show that tetrandrine induces a K+-dependent contraction of the RTA through a neuronal mechanism involving alpha1-adrenoceptors. It is speculated that this contraction may be a factor in the reported absence of postural hypotension in the clinical use of tetrandrine.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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".