Two new vascular smooth muscle relaxants, bepridil and cetiedil, were found to possess specific CaM-inhibitory properties which resembled those of trifluoperazine. Trifluoperazine, bepridil, and cetiedil inhibited Ca2+-dependent 125I-CaM binding to erythrocyte membranes and CaM activation of membrane Ca2+-ATPase with IC50 values of approximately 12, approximately 17, and approximately 40 microM, respectively. This does not appear to be the result of a nonspecific hydrophobic interaction since inhibition was not observed with micromolar concentrations of many other hydrophobic agents. The predominant inhibition of binding and Ca2+-ATPase activation was competitive with respect to CaM. Bepridil and cetiedil bind directly to CaM since these drugs displaced [3H]trifluoperazine from sites on CaM. Inhibition of Ca2+-ATPase and binding by the drugs was not due to interference with the catalytic activity of this enzyme since: (a) neither inhibition of CaM-independent basal Ca2+-ATPase activity nor inhibition of proteolytically-activated Ca2+-ATPase activities were produced by these agents, and (b) no drug-induced inhibition of CaM binding was detected when membranes were preincubated with these agents but washed prior to addition of 125I-CaM. Thus, bepridil and cetiedil competitively inhibit Ca2+-dependent interactions of CaM with erythrocyte membranes, most likely by a direct interaction between these drugs and CaM. The principal clinical actions of these drugs may be explained by their interactions with CaM or CaM-related proteins leading to reduced activation of Ca2+-regulated enzymes in certain other tissues, such as myosin light chain kinase in vascular smooth muscle.
P Agre, D Virshup, V Bennett
Usage data is cumulative from November 2025 through November 2026.
| Usage | JCI | PMC |
|---|---|---|
| Text version | 352 | 9 |
| 217 | 12 | |
| Scanned page | 861 | 2 |
| Citation downloads | 238 | 0 |
| Totals | 1,668 | 23 |
| Total Views | 1,691 | |
Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.
Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.