Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UNIPROT:Q86TM3 (cage)
 29,987 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

The effects of beta-phenylethylamine (PEA 6.25, 12.5, and 25.0 mg/kg IP) on spontaneous motor activity were examined in rats before (novel situation) and after (familiar situation) they had experience of the test environment, in an undrugged state. In a novel cage, 12.5 mg/kg PEA stimulated rearing and locomotion. A dose of 25.0 mg/kg PEA also increased rearing and produced stereotyped head movements, but did not increase locomotion, in a novel environment. In a familiar cage, both 12.5 and 25.0 mg/kg PEA stimulated locomotion and sniffing, whereas rearing was unaffected by PEA treatment under these conditions. These data provide a striking instance of a qualitative change in the behavioural response to a psychostimulant compound which is associated with the relative familiarity of the animal with the test environment. In addition, the results show that PEA induces stereotypy at high doses and increases locomotor activity at moderate doses, which is a further illustration of the similarity in the unconditioned behavioural effects of PEA and amphetamine.
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PMID:Environmental experience produces qualitative changes in the stimulant effects of beta-phenylethylamine in rats. 614 91

The study of the mechanomyographic (MMG) signals during dynamic contractions requires a criterion to separate the low frequency (LF) component (basically due to gross movement of the muscle or of the body) and the high frequency (HF) component (related with the vibration of the muscle fibers during contraction). In this study, we propose to use the Empirical Mode Decomposition method in order to analyze the Intrinsic Mode Functions of MMG signals of the diaphragm muscle, acquired by means of a capacitive accelerometer applied on the costal wall. This signal, as the MMG signals during dynamic contractions, has a LF component that is related with the movement of the thoracic cage, and a HF component that could be related with the vibration of diaphragm muscle fibers during contraction. The method was tested on an animal model, with two incremental respiratory protocols performed by two non anesthetized mongrel dogs. The results show that the proposed EMD based method provides very good results for the cancellation of low frequency component of MMG signals. The obtained correlation coefficients between respiratory and MMG parameters were higher than the ones obtained with a Wavelet multiresolution decomposition method utilized in a previous work.
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PMID:Application of the empirical mode decomposition method to the analysis of respiratory mechanomyographic signals. 1800 69