Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UNIPROT:P50583 (asymmetrical)
 12,197 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Using a bipolar rating scale, human subjects rated the intensity of irritation sensation evoked by repeated application of piperine (75 p.p.m.) or nicotine (0.12%) to one side of the dorsal surface of the tongue. The intensity of irritation elicited by repeated application of piperine significantly increased, while irritation elicited by repeated nicotine significantly decreased. We additionally tested if nicotine or piperine desensitized the tongue. After either piperine or nicotine was repeatedly applied to one side of the tongue, a 5 or 10 min rest period ensued, followed by re-application of piperine or nicotine to both sides of the tongue. Subjects were asked to choose which side of the tongue gave rise to a stronger irritation in a two-alternative forced choice (2-AFC) paradigm. In addition, they gave separate ratings of the intensity of irritation on the two sides of the tongue. When piperine was applied bilaterally after unilateral pretreatment with piperine and a 10 min rest period, subjects consistently chose the non-pretreated side to yield stronger irritation and assigned significantly higher ratings to that side, indicative of piperine self-desensitization. A similar self-desensitization effect was found when bilateral application of nicotine followed unilateral treatment with nicotine and a 5 min rest period. Unilateral treatment with piperine also reduced nicotine-evoked irritation on the pretreated side (cross-desensitization), but treatment with nicotine did not affect piperine-evoked irritation. This asymmetrical cross-desensitization pattern is similar to that observed between capsaicin and nicotine and constitutes an additional similarity between piperine and capsaicin.
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PMID:Oral irritant properties of piperine and nicotine: psychophysical evidence for asymmetrical desensitization effects. 1048 Jun 76

Anthropomorphic model observers are mathe- matical algorithms which are applied to images with the ultimate goal of predicting human signal detection and classification accuracy across varieties of backgrounds, image acquisitions and display conditions. A limitation of current channelized model observers is their inability to handle irregularly-shaped signals, which are common in clinical images, without a high number of directional channels. Here, we derive a new linear model observer based on convolution channels which we refer to as the "Filtered Channel observer" (FCO), as an extension of the channelized Hotelling observer (CHO) and the nonprewhitening with an eye filter (NPWE) observer. In analogy to the CHO, this linear model observer can take the form of a single template with an external noise term. To compare with human observers, we tested signals with irregular and asymmetrical shapes spanning the size of lesions down to those of microcalfications in 4-AFC breast tomosynthesis detection tasks, with three different contrasts for each case. Whereas humans uniformly outperformed conventional CHOs, the FCO observer outperformed humans for every signal with only one exception. Additive internal noise in the models allowed us to degrade model performance and match human performance. We could not match all the human performances with a model with a single internal noise component for all signal shape, size and contrast conditions. This suggests that either the internal noise might vary across signals or that the model cannot entirely capture the human detection strategy. However, the FCO model offers an efficient way to apprehend human observer performance for a non-symmetric signal.
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PMID:Derivation of an Observer Model Adapted to Irregular Signals Based on Convolution Channels. 2562 13