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Aroma–taste interactions between a model cheese aroma and five basic tastes in solution

Overview of attention for article published in Food Quality & Preference, January 2014
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Article details
Title
Aroma–taste interactions between a model cheese aroma and five basic tastes in solution
Published in
Food Quality & Preference, January 2014
DOI 10.1016/j.foodqual.2013.05.017
Pubmed ID
Authors
Abstract

The senescence-accelerated mouse (SAM) was developed by selective breeding of the AKR/J strain, based on a graded score for senescence, which led to the development of both senescence-accelerated prone (SAMP), and senescence-accelerated resistant (SAMR) strains. Among the SAMP strains, SAMP6 is well characterized as a model of senile osteoporosis, but its brain and neuronal functions have not been well studied. We therefore decided to characterize the central nervous system of SAMP6, in combination with different behavioral tests and analysis of its biochemical and pharmacological properties. Multiple behavioral tests revealed higher motor activity, reduced anxiety, anti-depressant activity, motor coordination deficits, and enhanced learning and memory in SAMP6 compared with SAMR1. Biochemical and pharmacological analyses revealed several alterations in the dopamine and serotonin systems, and in long-term potentiation (LTP)-related molecules. In this review, we discuss the possibility of using SAMP6 as a model of brain function.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
France 2 2%
Italy 1 <1%
United Kingdom 1 <1%
Denmark 1 <1%
Brazil 1 <1%
Unknown 100 94%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 19 18%
Student > Ph. D. Student 16 15%
Researcher 12 11%
Student > Bachelor 7 7%
Student > Doctoral Student 6 6%
Other 16 15%
Unknown 30 28%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 41 39%
Chemistry 6 6%
Engineering 4 4%
Biochemistry, Genetics and Molecular Biology 3 3%
Business, Management and Accounting 2 2%
Other 15 14%
Unknown 35 33%