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  • 5-HT2C-receptor  (1)
  • Automatic control of induced paralysis  (1)
  • Biotransformation  (1)
  • 1
    Electronic Resource
    Electronic Resource
    Amsterdam : Elsevier
    Aquatic Toxicology 28 (1994), S. 65-78 
    ISSN: 0166-445X
    Keywords: 4-Chloroaniline ; Bioconcentration ; Biotransformation ; Guppy ; Kinetics
    Source: Elsevier Journal Backfiles on ScienceDirect 1907 - 2002
    Topics: Biology
    Type of Medium: Electronic Resource
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  • 2
    ISSN: 1432-2072
    Keywords: Key words Cyamemazine ; Anxiety ; Serotonin ; 5-HT3-receptor ; 5-HT2C-receptor
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine
    Notes: Abstract  Rationale: Cyamemazine is a neuroleptic compound which possesses anxiolytic properties in humans. On the other hand, 5-HT3- and 5-HT2C-receptors have been implicated in anxiety disorders and a previous binding study has shown that cyamemazine possesses high affinity for both serotonin receptor types. Objective: The present study was undertaken to establish whether cyamemazine antagonizes 5-HT3- and/or 5-HT2C-mediated responses, and whether it compares with reference compounds. Methods: Cyamemazine was tested for its ability to antagonize: (i) 5-HT3-dependent contraction of the isolated guinea-pig ileum and bradycardic responses in the rat and (ii) 5-HT2C-dependent phospholipase C (PLC) stimulation in rat brain membranes. Results: In isolated guinea-pig ileum, cyamemazine potently and competitively antagonized 5-HT-dependent contractions (pA2=7.52±0.08; n=5). In this test, cyamemazine was 5–7 times more potent (pIC50=6.75±0.13) than tropisetron (pIC50=6.02±0.04). In rats, cyamemazine i.v. antagonized 5-HT-dependent bradycardic responses with ID50%=3.2±1.5 mg/kg (n=4). Finally, in rat brain membranes cyamemazine antagonized 5-HT2C-dependent PLC stimulation with Ki=424 nM (mianserin exhibits a Ki=113 nM). Conclusions: Cyamemazine behaves as an antagonist at both 5-HT3- and 5-HT2C-receptors, which compares well with reference compounds. These 5-HT3- and 5-HT2C-antagonistic actions of cyamemazine can be involved, at least in part, in its beneficial therapeutic actions in anxiety disorders.
    Type of Medium: Electronic Resource
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  • 3
    ISSN: 1573-2614
    Keywords: Automatic control of induced paralysis ; in vivo automatic control of paralysis ; vecuronium ; automatic infusion of anesthetic agents
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science , Medicine
    Notes: Abstract Objective. Reliable closed loop infusion systems for regulating paralysis level can be a great convenience to the anesthesiologists in automating their task. This paper describes the in vivo performance evaluation of a self-tuning controller that is designed to accommodate large varations in patient drug sensitivity, drug action delays and environmental interfering noise. Methods. The infusion system was evaluated in six adult mongrel dogs. Following the manual induction of paralysis by an anesthesiologist, the controller regulated the infusion of vecuronium to maintain a desired level of paralysis. The integrated EMG response of the hypothenar muscle to a train-of-four stimulation of the ulnar nerve quantified the depth of paralysis. The controller's robustness was tested by contaminating the sensed twitch signal with electrocautery noise and electrode disconnection. Results. The controller reached the initial level of paralysis of 100% in about 4.0 minutes and arrived at the desired level of 90% with an overshoot of 6.38% (±6.82). It maintained the desired level of paralysis with a 2.04% (±1.20) mean offset at 90% and 0.4% (±0.5) mean offset at 80% steady state level, respectively. The mean infusion rate to sustain 90% and 80% paralysis were 2.70 (±2.05) and 2.15 (±2.57) ((mg/kg)/min), respectively. Conclusions. The system adapted to a large variation in the sample subject drug sensitivity. It remained stable despite large amplitude disturbances and maintained the paralysis at the desired level following the removal of the disturbances.
    Type of Medium: Electronic Resource
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