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Showing posts with label Disorders and Syndromes. Show all posts
Showing posts with label Disorders and Syndromes. Show all posts

Sunday, June 23, 2013

The Link Between Circadian Rhythms and Aging: Gene Associated With Longevity Also Regulates the Body's Circadian Clock


Human sleeping and waking patterns are largely governed by an internal circadian clock that corresponds closely with the 24-hour cycle of light and darkness. This circadian clock also controls other body functions, such as metabolism and temperature regulation.

A new study finds that a gene associated with longevity also regulates the body’s circadian clock.
A new study finds that a gene associated with longevity also regulates the body’s circadian clock. (Credit: iStockphoto)

Studies in animals have found that when that rhythm gets thrown off, health problems including obesity and metabolic disorders such as diabetes can arise. Studies of people who work night shifts have also revealed an increased susceptibility to diabetes.

A new study from MIT shows that a gene called SIRT1, previously shown to protect against diseases of aging, plays a key role in controlling these circadian rhythms. The researchers found that circadian function decays with aging in normal mice, and that boosting their SIRT1 levels in the brain could prevent this decay. Conversely, loss of SIRT1 function impairs circadian control in young mice, mimicking what happens in normal aging.

Since the SIRT1 protein itself was found to decline with aging in the normal mice, the findings suggest that drugs that enhance SIRT1 activity in humans could have widespread health benefits, says Leonard Guarente, the Novartis Professor of Biology at MIT and senior author of a paper describing the findings in the June 20 issue of Cell.

"If we could keep SIRT1 as active as possible as we get older, then we'd be able to retard aging in the central clock in the brain, and health benefits would radiate from that," Guarente says.

Staying on schedule

In humans and animals, circadian patterns follow a roughly 24-hour cycle, directed by the circadian control center of the brain, called the suprachiasmatic nucleus (SCN), located in the hypothalamus.

"Just about everything that takes place physiologically is really staged along the circadian cycle," Guarente says. "What's now emerging is the idea that maintaining the circadian cycle is quite important in health maintenance, and if it gets broken, there's a penalty to be paid in health and perhaps in aging."

Last year, Guarente found that a robust circadian period correlated with longer lifespan in mice. That got him wondering what role SIRT1, which has been shown to prolong lifespan in many animals, might play in that phenomenon. SIRT1, which Guarente first linked with aging more than 15 years ago, is a master regulator of cell responses to stress, coordinating a variety of hormone networks, proteins and genes to help keep cells alive and healthy.

To investigate SIRT1's role in circadian control, Guarente and his colleagues created genetically engineered mice that produce different amounts of SIRT1 in the brain. One group of mice had normal SIRT1 levels, another had no SIRT1, and two groups had extra SIRT1 -- either twice or 10 times as much as normal.

Mice lacking SIRT1 had slightly longer circadian cycles (23.9 hours) than normal mice (23.6 hours), and mice with a 10-fold increase in SIRT1 had shorter cycles (23.1 hours).

In mice with normal SIRT1 levels, the researchers confirmed previous findings that when the 12-hour light/dark cycle is interrupted, younger mice readjust their circadian cycles much more easily than older ones. However, they showed for the first time that mice with extra SIRT1 do not suffer the same decline in circadian control as they age.

The researchers also found that SIRT1 exerts this control by regulating the genes BMAL and CLOCK, the two major keepers of the central circadian clock.

Enhancing circadian function

A growing body of evidence suggests that being able to respond to large or small disruptions of the light/dark cycle is important to maintaining healthy metabolic function, Guarente says.

"Essentially we experience a mini jet lag every day because the light cycle is constantly changing. The critical thing for us is to be able to adapt smoothly to these jolts," Guarente says. "Many studies in mice say that while young mice do this perfectly well, it's the old mice that have the problem. So that could well be true in humans."

If so, it could be possible to treat or prevent diseases of aging by enhancing circadian function -- either by delivering SIRT1 activators in the brain or developing drugs that enhance another part of the circadian control system, Guarente says.

"I think we should look at every aspect of the machinery of the circadian clock in the brain, and any intervention that can maintain that machinery with aging ought to be good," he says. "One entry point would be SIRT1, because we've shown in mice that genetic maintenance of SIRT1 helps maintain circadian function."

Some SIRT1 activators are now being tested against diabetes, inflammation and other diseases, but they are not designed to cross the blood-brain barrier and would likely not be able to reach the SCN. However, Guarente believes it could be possible to design SIRT1 activators that can get into the brain.

Roman Kondratov, an associate professor of biology at Cleveland State University, says the study raises several exciting questions regarding the potential to delay or reverse age-related changes in the brain through rejuvenation of the circadian clock with SIRT1 enhancement.

"The importance of this study is that it has both basic and potentially translational applications, taking into account the fact that pharmacological modulators of SIRT1 are currently under active study," Kondratov says.

Researchers in Guarente's lab are now investigating the relationship between health, circadian function and diet. They suspect that high-fat diets might throw the circadian clock out of whack, which could be counteracted by increased SIRT1 activation.

The research was funded by the National Institutes of Health and the Glenn Foundation for Medical Research.

Wednesday, April 17, 2013

Bad Decisions Arise from Faulty Information, Not Faulty Brain Circuits


Making decisions involves a gradual accumulation of facts that support one choice or another. A person choosing a college might weigh factors such as course selection, institutional reputation and the quality of future job prospects.
Researchers have found that it might be the information rather than the brain's decision-making process that is to blame. The researchers report that erroneous decisions tend to arise from errors, or "noise," in the information coming into the brain rather than errors in how the brain accumulates information.
Researchers have found that it might be the information rather than the brain's decision-making process that is to blame. The researchers report that erroneous decisions tend to arise from errors, or "noise," in the information coming into the brain rather than errors in how the brain accumulates information.

But if the wrong choice is made, Princeton University researchers have found that it might be the information rather than the brain's decision-making process that is to blame. The researchers report in the journal Science that erroneous decisions tend to arise from errors, or "noise," in the information coming into the brain rather than errors in how the brain accumulates information.

These findings address a fundamental question among neuroscientists about whether bad decisions result from noise in the external information -- or sensory input -- or because the brain made mistakes when tallying that information. In the example of choosing a college, the question might be whether a person made a poor choice because of misleading or confusing course descriptions, or because the brain failed to remember which college had the best ratings.

Previous measurements of brain neurons have indicated that brain functions are inherently noisy. The Princeton research, however, separated sensory inputs from the internal mental process to show that the former can be noisy while the latter is remarkably reliable, said senior investigator Carlos Brody, a Princeton associate professor of molecular biology and the Princeton Neuroscience Institute (PNI), and a Howard Hughes Medical Institute Investigator.

"To our great surprise, the internal mental process was perfectly noiseless. All of the imperfections came from noise in the sensory processes," Brody said. Brody worked with first author Bingni Brunton, now a postdoctoral research associate in the departments of biology and applied mathematics at the University of Washington; and Matthew Botvinick, a Princeton associate professor of psychology and PNI.

The research subjects -- four college-age volunteers and 19 laboratory rats -- listened to streams of randomly timed clicks coming into both the left ear and the right ear. After listening to a stream, the subjects had to choose the side from which more clicks originated. The rats had been trained to turn their noses in the direction from which more clicks originated.

The test subjects mostly chose the correct side but occasionally made errors. By comparing various patterns of clicks with the volunteers' responses, researchers found that all of the errors arose when two clicks overlapped, and not from any observable noise in the brain system that tallied the clicks. This was true in experiment after experiment utilizing different click patterns, in humans and rats.

The researchers used the timing of the clicks and the decision-making behavior of the test subjects to create computer models that can be used to indicate what happens in the brain during decision-making. The models provide a clear window into the brain during the "mulling over" period of decision-making, the time when a person is accumulating information but has yet to choose, Brody said.

"Before we conducted this study, we did not have a way of looking at this process without inserting electrodes into the brain," Brody said. "Now thanks to our model, we have an estimation of what is going on at each moment in time during the formation of the decision."

The study suggests that information represented and processed in the brain's neurons must be robust to noise, Brody said. "In other words, the 'neural code' may have a mechanism for inherent error correction," he said.

"The new work from the Brody lab is important for a few reasons," said Anne Churchland, an assistant professor of biological sciences at Cold Spring Harbor Laboratory who studies decision-making and was not involved in the study. "First, the work was very innovative because the researchers were able to study carefully controlled decision-making behavior in rodents. This is surprising in that one might have guessed rodents were incapable of producing stable, reliable decisions that are based on complex sensory stimuli.

"This work exposed some unexpected features of why animals, including humans, sometimes make incorrect decisions," Churchland said. "Specifically, the researchers found that errors are mostly driven by the inability to accurately encode sensory information. Alternative possibilities, which the authors ruled out, included noise associated with holding the stimulus in mind, or memory noise, and noise associated with a bias toward one alternative or the other."

The work was funded by the Howard Hughes Medical Institute, Princeton University and National Institutes of Health training grants.

Wednesday, July 13, 2011

Biomarker for Autism Discovered


Siblings of people with autism show a similar pattern of brain activity to that seen in people with autism when looking at emotional facial expressions. Researchers at the University of Cambridge identified the reduced activity in a part of the brain associated with empathy and argue it may be a 'biomarker' for a familial risk of autism.
Researchers have identified the reduced activity in a 
part of the brain associated with empathy and argue 
it may be a 'biomarker' for a familial risk of autism. 
(Credit: Michael Spencer)

Dr Michael Spencer, who led the study from the University's Autism Research Centre, said: "The findings provide a springboard to investigate what specific genes are associated with this biomarker. The brain's response to facial emotion could be a fundamental building block in causing autism and its associated difficulties."

The Medical Research Council funded study is published on the 12th of July, in the journal Translational Psychiatry.

Previous research has found that people with autism often struggle to read people's emotions and that their brains process emotional facial expressions differently to people without autism. However, this is the first time scientists have found siblings of individuals with autism have a similar reduction in brain activity when viewing others' emotions.

In one of the largest functional MRI (fMRI) studies of autism ever conducted, the researchers studied 40 families who had both a teenager with autism and a sibling without autism. Additionally, they recruited 40 teenagers with no family history of autism. The 120 participants were given fMRI scans while viewing a series of photographs of faces which were either neutral or expressing an emotion such as happiness. By comparing the brain's activity when viewing a happy verses a neutral face, the scientists were able to observe the areas within the brain that respond to this emotion.



Despite the fact that the siblings of those with autism did not have a diagnosis of autism or Asperger syndrome, they had decreased activity in various areas of the brain (including those associated with empathy, understanding others' emotions and processing information from faces) compared to those with no family history of autism. The scans of those with autism revealed that the same areas of the brain as their siblings were also underactive, but to a greater degree. (These brain regions included the temporal poles, the superior temporal sulcus, the superior frontal gyrus, the dorsomedial prefrontal cortex and the fusiform face area.)

Because the siblings without autism and the controls differed only in terms of the siblings having a family history of autism, the brain activity differences can be attributed to the same genes that give the sibling their genetic risk for autism.

Explaining why only one of the siblings might develop autism when both have the same biomarker, Dr Spencer said: "It is likely that in the sibling who develops autism additional as yet unknown steps -- such as further genetic, brain structure or function differences -- take place to cause autism."

It is known that in a family where one child already has autism, the chances of a subsequent child developing autism are at least 20 times higher than in the general population. The reason for the enhanced risk, and the reason why two siblings can be so differently affected, are key unresolved questions in the field of autism research, and Dr Spencer's group's findings begin to shed light on these fundamental questions.

Professor Chris Kennard, chairman of the Medical Research Council funding board for the research, said: "This is the first time that a brain response to different human facial emotions has been shown to have similarities in people with autism and their unaffected brothers and sisters. Innovative research like this improves our fundamental understanding of how autism is passed through generations affecting some and not others. This is an important contribution to the Medical Research Council's strategy to use sophisticated techniques to uncover underpinning brain processes, to understand predispositions for disease, and to target treatments to the subtypes of complex disorders such as autism."

Monday, December 13, 2010

Alzheimer's: 'Cleansing' Brain of Plaques


New molecular tools developed at the University of Michigan show promise for "cleansing" the brain of amyloid plaques, implicated in Alzheimer's disease.
Small Molecules for Metal-Amyloid Species in the Brain. 
(Credit: Mi Hee Lim and Joseph J. Braymer)

A hallmark of Alzheimer's disease -- a neurodegenerative disease with no cure -- is the aggregation of protein-like bits known as amyloid-beta peptides into clumps in the brain called plaques. These plaques and their intermediate messes can cause cell death, leading to the disease's devastating symptoms of memory loss and other mental difficulties.

The mechanisms responsible for the formation of these misfolded proteins and their associations with Alzheimer's disease are not entirely understood, but it's thought that copper and zinc ions are somehow involved.

The research, led by assistant professor Mi Hee Lim, was published online Dec. 3 in the Proceedings of the National Academy of Science.
 
In earlier work, Lim and her team developed dual-purpose molecular tools that both grab metal ions and interact with amyloid-beta. The researchers went on to show that in solutions with or without living cells, the molecules were able to regulate copper-induced amyloid-beta aggregation, not only disrupting the formation of clumps, but also breaking up clumps that already had formed.

Building upon that first generation of compounds, Lim and lab members Jung-Suk Choi and Joseph Braymer now report a second generation of compounds that are more stable in biological environments. The researchers tested one of those compounds, described in the PNAS paper, in homogenized brain tissue samples from Alzheimer's disease patients.

"We found that our compound is capable of disassembling the misfolded amyloid clumps to form smaller amyloid pieces, which might be 'cleansed' from the brain more easily, demonstrating a therapeutic application of our compound," said Lim, who has joint appointments in the Life Sciences Institute and the Department of Chemistry. In addition, preliminary tests show that the bi-functional small molecules have a strong potential to cross the blood-brain barrier, the barricade of cells that separates brain tissue from circulating blood, protecting the brain from harmful substances in the bloodstream.

"Crossing this barrier is essential for any treatment like this to be successful," Lim said.

Next steps include more intensive testing of the new compounds for diagnostic and therapeutic properties.

Lim and her team collaborated with Ayyalusamy Ramamoorthy, professor of chemistry and biophysics on this work, with funding from the U-M Horace H. Rackham School of Graduate Studies, the Alzheimer's Art Quilt Initiative, and the National Institutes of Health.

Disclaimer: This article is not intended to provide medical advice, diagnosis or treatment.

Saturday, November 27, 2010

Do Brain's 'Traffic Lights' Direct Our Actions?


In every waking minute, we have to make decisions -- sometimes within a split second. Neuroscientists at the Bernstein Center Freiburg have now discovered a possible explanation how the brain chooses between alternative options. The key lies in extremely fast changes in the communication between single nerve cells.
The timing of exciting (red curve) and inhibiting 
(blue curve) signals could be a way to control the 
"traffic flow" of activity in the brain. (Illustration: 
Bernstein Center Freiburg) (Credit: Illustration 
courtesy of Bernstein Center Freiburg)

The traffic light changes from green to orange -- should I push down the accelerator a little bit further or rather hit the brakes? Our daily lives present a long series of decisions we have to make, and sometimes we only have a split second at our disposal. Often the problem of decision-making entails the selection of one set of brain processes over multiple others seeking access to same resources. Several mechanisms have been suggested how the brain might solve this problem. However, up to now, it is a mystery what exactly happens when during a rapid choice between two options.

In the current issue of the Journal of Neuroscience, Jens Kremkow, Arvind Kumar, and Ad Aertsen from the Bernstein Center Freiburg propose a mechanism how the brain can choose between possible actions -- already at the level of single nerve cells.

As the structure and activity of the brain are just too complex to answer this question through a simple biological experiment, the scientists constructed a network of neurons in the computer. An important aspect of the model in this context is the property of nerve cells to influence the activity of other nerve cells, either in an excitatory or inhibitory manner. In the constructed network, two groups of neurons acted as the senders of two different signals. Further downstream in the network, another group of neurons, the "gate" neurons, were to control which of the signals would be transmitted onward.

As the cells within the network were connected both with exciting and inhibiting neurons, the signals reached the gate as excitatory and, after a short delay, inhibitory activity. In their simulations, the scientists found that the key for the gate neurons' "decision" in favour of one signal over the other was the time delay of the inhibitory signal relative to the excitatory signal. If the delay was set to be very small, the activity of the cells in the gate was quenched too quickly for the signal to be propagated.

Conversely, a larger delay caused the gate to open for the signal. Results from neurophysiological experiments have already shown that a change in delay properties is possible in real neurons. These findings therefore support the hypothesis of Kremkow and colleagues that such temporal gating can form the basis for selecting one of several alternative options in our brain.

Admin's Note: This article is not intended to provide medical advice, diagnosis or treatment.