Soulmate Gem
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morning “Virtually all physiological processes have a circadian rhythm, meaning that they occur predominantly at certain parts of the day. There's even a circadian rhythm of death, so that in the general population people tend on average to be most likely to die in the morning hours.
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Read More »Many of the body’s processes follow a natural daily rhythm or so-called circadian clock. There are certain times of the day when a person is most alert, when blood pressure is highest, and when the heart is most efficient. Several rare gene mutations have been found that can adjust this clock in humans, responsible for entire families in which people wake up at 3 a.m. or 4 a.m. and cannot stay up much after 8 at night. Now new research has, for the first time, identified a common gene variant that affects virtually the entire population, and which is responsible for up to an hour a day of your tendency to be an early riser or night owl. Furthermore, this new discovery not only demonstrates this common polymorphism influences the rhythms of people’s day-to-day lives -- it also finds this genetic variant helps determine the time of day a person is most likely to die. The surprising findings, which appear in the November 2012 issue of the Annals of Neurology, could help with scheduling shift work and planning medical treatments, as well as in monitoring the conditions of vulnerable patients. “The internal ‘biological clock’ regulates many aspects of human biology and behavior, such as preferred sleep times, times of peak cognitive performance, and the timing of many physiological processes. It also influences the timing of acute medical events like stroke and heart attack,” says first author Andrew Lim, who conducted the work as a postdoctoral fellow in the Department of Neurology at Beth Israel Deaconess Medical Center.
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Read More »They soon discovered a single nucleotide near a gene called “Period 1” that varied between two groups that differed in their wake-sleep behavior. At this particular site in the genome, 60 percent of individuals have the nucleotide base adenine (A) and 40 percent have the nucleotide base guanine (G). Because we have two sets of chromosomes, in any given individual, there’s about a 36 percent chance of having two As, a 16 percent chance of having two Gs, and a 48 percent chance of having a mixture of A and G at this site. “This particular genotype affects the sleep-wake pattern of virtually everyone walking around, and it is a fairly profound effect so that the people who have the A-A genotype wake up about an hour earlier than the people who have the G-G genotype, and the A-Gs wake up almost exactly in the middle,” explains Saper, who is also the James Jackson Putnam Professor of Neurology and Neuroscience at Harvard Medical School. Also, expression of the Period 1 gene was lower in the brains and white blood cells of people with the G-G genotype than in people with the A-A genotype, but only in the daytime, which is when the gene is normally expressed.
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Read More »Lim says that additional work is needed to determine the mechanisms by which this and other gene variants influence the body’s biological clock. In addition to helping people optimize their schedules, the research could eventually lead to novel therapies to treat disturbances of this clock as seen in jet lag or shift work. “Also, working out which causes of death are influenced by gene variants like the one we identified may eventually lead to rational timed interventions—such as taking heart medications at particular times depending on which version of the gene variant one carries—to provide protection during an individuals’ period of greatest risk,” says Lim. The potential clinical applications may be as diverse as the many processes that the circadian clock controls. In addition to Lim and Saper, study coauthors include Anne-Marie Chang, PhD, Joshua M. Shulman, MD, PhD, Towfique Raj, PhD, Lori B. Chibnik, PhD, Sean W. Can, PhD, Katherine Rothamel, BS, Christophe Benoist, PhD, Amanda J. Myers, PhD, Charles A. Czeisler, MD, PhD, Aron S. Buchman, MD, David A Bennett, MD, Jeanne F. Duffy, PhD, and Philip L. De Jager, MD, PhD. This study was supported by grants from the National Institutes of Health as well the Canadian Institutes of Health Research Bisby Fellowship an American Academy of Neurology Clinical Research Training Fellowship, and a Dana Foundation Clinical Neuroscience Grant.
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