Abstract P104: EXAMINING THE EFFECTS OF FOLLISTATIN ON CONTRACTION OF VESSELS FROM NORMOTENSIVE AND HYPERTENSIVE RATS
Bibliographic record
Abstract
The lab has previously shown that follistatin (FST), a glycoprotein inhibitor of activins, reduced blood pressure in the Spontaneously Hypertensive Rat (SHR) model of Essential Hypertension. Short-term exposure (30 minutes) to FST also reduced vessel contraction induced by potassium (KCl). This study aims to illustrate the mechanisms through which FST inhibits potassium-induced contraction in SHR and normotensive (WKY) rats. Function of SHR or WKY resistance mesenteric arteries was tested in response to KCl and ion channel modulators using wire myography. Cultures of primary smooth muscle cells (SMC) were also established from these vessels using cell explant technique. The calcium sensor dye Fluo-4 AM was used to examine calcium influx on a cellular level. To test whether FST effects were due to activin neutralization or activin-receptor inhibition, neutralizing antibodies against activin A and B or an activin receptor inhibitor (SB 431542) were used, respectively. Only activin A neutralization in the SHR reduced KCl-induced contraction similarly to FST. Activin receptor inhibition also reduced KCl constriction similarly to FST. When directly stimulated with Activin A, both WKY and SHR vessels displayed augmented KCl contraction compared to controls but the effect was more pronounced in the SHR. Preliminary Fluo-4 results showed that FST decreased KCl-induced calcium influx in SMC. Since activin A was shown to increase L-type voltage-gated Ca2+channel activity, an agonist (FPL 64176) of this channel was used to induce contraction. Although FST reduced KCl-induced contraction, it did not affect FPL-induced contraction in either SHR or WKY. Thus, Activin A neutralization reproduces FST reduction of KCl-induced vessel contraction. FST did not reduce FPL-induced contraction, suggesting that its inhibition of KCl-induced contraction is not through effects on this channel but rather an alternate Ca2+ or K-ATP channel.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".