Article
Alcohol preference drinking in a mouse line selectively bred for high drinking in the dark.
Portland Alcohol Research Center, Department of Behavioral Neuroscience, Oregon Health & Science University and VA Medical Center, USA.
Alcohol (Fayetteville, N.Y.) (impact factor:
2.41).
12/2010;
45(5):427-40.
DOI:10.1016/j.alcohol.2010.12.001
pp.427-40
Source: PubMed
- Citations (2)
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Cited In (0)
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Article: Hybrid C57BL/6J x FVB/NJ mice drink more alcohol than do C57BL/6J mice.
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ABSTRACT: From several recent strain surveys (28 strains: Bachmanov et al., personal communication; 22 strains: Finn et al., unpublished), and from data in >100 other published studies of 24-hr two-bottle ethanol preference, it is known that male C57BL/6 (B6) mice self-administer about 10-14 g/kg/day and that female B6 mice self-administer about 12-18 g/kg/day. No strain has been found to consume more ethanol than B6. In one of our laboratories (Texas), we noted a markedly greater intake of ethanol in an F1 hybrid of B6 and FVB/NJ (FVB) mice. To confirm and extend this finding, we repeated the study at another site (Portland) using concentrations up to 30% ethanol and also tested B6xFVB F1 mice in restricted access drinking procedures that produce high levels of alcohol intake. At both sites, we found that B6xFVB F1 mice self-administered high levels of ethanol during two-bottle preference tests (females averaging from 20 to 35 g/kg/day, males 7-25 g/kg/day, depending on concentration). F1 hybrids of both sexes drank significantly more 20% ethanol than both the B6 and FVB strains. Female F1 hybrids also drank more 30% ethanol. In the restricted access tests, ethanol consumption in the F1 hybrids was equivalent to that in B6 mice. These data show that this new genetic model has some significant advantages when compared to existing inbred strains, and could be used to explore the genetic basis of high ethanol drinking in mice.Alcoholism Clinical and Experimental Research 12/2005; 29(11):1949-58. · 3.34 Impact Factor -
Article: Predictive model for the (14)C radioactivity in a plant following an exposure to airborne (14)CO(2) gas.
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ABSTRACT: This paper provides details of a dynamic compartment model for estimating the (14)C radioactivity in an agricultural plant exposed to an amount of airborne (14)CO(2) gas. The plant, in the model, is divided into two compartments, the plant body (shoot and root) and ears, to predict the radioactivity of different parts of a plant. The carbon transports from, to and between the compartments are described by the processes of a photosynthesis, respiration, and translocation. The carbon transport fluxes of these processes are determined from the growth rates of a plant, which are usually easily attained. The model predictions showed that the present model could converge to a region where the specific activity model is applicable when the elapsed exposure time was extended up to the harvest time of a plant. The (14)C activity of a plant was greatly affected by the elapsed exposure time, the developmental stages of a plant at an exposure time, and the airborne (14)C activity during an exposure. It was expected that the peak of the ears' (14)C activity appeared when the exposure time was close to the ears-maturity date. The model predictions agreed reasonably well with the measured (14)C radioactivity of the rice plants that were artificially exposed to (14)CO(2) of a high (14)C source for a short period of time in an exposure box.Journal of Environmental Radioactivity 10/2008; 99(11):1756-63. · 1.34 Impact Factor
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Keywords
1.0mg/mL. Previous studies
2-h access period
average BECs
ethanol concentrations
genetic commonality
genetic overlap
HDID-1 mice
highest concentrations
HS mice
HS/Npt control stock
HS/Npt mice
HS/Npt mice drank
naive groups
preference drinking
single bottle
tap water
tastant preference
tastant/total fluid drunk
two-bottle preference
two-bottle preference drinking