Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: EC:2.7.11.8 (FAST)
 758 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

The effects of 24 hours of food deprivation on cigarette consumption, smoke exposure and mood were studied in seven research volunteers. A within-subjects design was used in which subjects smoked low-yield (0.1 mg nicotine) and high-yield (0.7-1.1 mg nicotine) cigarettes in both a fed and a fasting state. Each of the four experimental conditions--FED/LOW-YIELD, FED/HIGH-YIELD, FAST/LOW-YIELD, FAST/HIGH-YIELD--was enacted twice according to a randomized block design. Cigarette consumption was measured during the 24-h period before experimental sessions. The session included a 60-min smoking period, in which number of puffs per cigarette, number of cigarettes smoked, carbon monoxide (CO) exposure and mood were assessed. Although cigarette consumption during the 24 h prior to sessions did not vary as a function of feeding condition, CO levels at the end of this 24-h time period were slightly, but significantly, higher in the FAST condition (mean CO level: 30.3 ppm) than in the FED condition (mean CO level: 28.1 ppm). During the laboratory session, amount of smoking and CO exposure were similar across feeding conditions. Interactions between feeding condition and dose were obtained on several mood measures that reflected sedation and arousal: in the high-yield condition, subjects were more sedated after fasting, whereas in the low-yield condition, they reported being less sedated after fasting. We conclude that fasting does not alter cigarette consumption but may increase smoke exposure during ad libitum smoking, perhaps via a change in some aspect of smoking behaviour not measured in the present study (e.g. puff volume).
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PMID:Effects of a 24-hour fast on cigarette smoking in humans. 234 95

This study describes the methodology and results for calculating future global aviation emissions of carbon dioxide and oxides of nitrogen from air traffic under four of the IPCC/SRES (Intergovernmental Panel on Climate Change/Special Report on Emissions Scenarios) marker scenarios: A1B, A2, B1, and B2. In addition, a mitigation scenario has been calculated for the B1 scenario, requiring rapid and significant technology development and transition. A global model of aircraft movements and emissions (FAST) was used to calculate fuel use and emissions to 2050 with a further outlook to 2100. The aviation emission scenarios presented are designed to interpret the SRES and have been developed to aid in the quantification of the climate change impacts of aviation. Demand projections are made for each scenario, determined by SRES economic growth factors and the SRES storylines. Technology trends are examined in detail and developed for each scenario providing plausible projections for fuel efficiency and emissions control technology appropriate to the individual SRES storylines. The technology trends that are applied are calculated from bottom-up inventory calculations and industry technology trends and targets. Future emissions of carbon dioxide are projected to grow between 2000 and 2050 by a factor in the range of 2.0 and 3.6 depending on the scenario. Emissions of oxides of nitrogen associated with aviation over the same period are projected to grow by between a factor of 1.2 and 2.7.
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PMID:Flying into the future: aviation emissions scenarios to 2050. 2022 40