The hallmark of an excellent researcher is an open mind. That flexibility and openness is what led Nina Schor, M.D., Ph.D., the William H. Eilinger Chair of Pediatrics at the University of Rochester, to follow a hunch about a brain receptor – resulting in a new mouse model that may give researchers a new avenue for testing drugs for autism. Nature Publishing Groups’ Translational Psychiatry published the study online today.

Schor had been studying p75 neurotrophin receptors in her long-standing neuroblastoma research, but she also knew that p75NTR is involved in the reaction to oxidative stress in the brain, which some research posits plays a role in the development of autism. The receptor is also prevalent in the developing brain and drops off as a child reaches 2 to 3 years old, which is when autism symptoms often begin to appear. P75NTR stays present in the typically developing cerebellum, hippocampus and basal forebrain, parts of the brain that are anatomically abnormal in autism.

“Science doesn’t always travel in a straight line,” Schor said. “Sometimes the importance of a scientific study in one field is what it unexpectedly tells us about another field.”

While other researchers are focused on the proteins found to be abnormal in patients with autism, Schor approached her investigation from the opposite direction. She thought about what characteristics a protein would have to have to be involved in processes thought to play a role in autism. “That list of characteristics looked suspiciously like those we had found to be associated with p75NTR.”

Then, Schor and her colleagues prevented mouse brains from making p75NTR in one autism-associated type of cell in the cerebellum. What they found was that not only does the mouse’s cerebellum resemble that of children with autism, but the mouse also behaves much like children with autism. They don’t engage in typical social behaviors of mice and instead, ignore stranger mice and lack curiosity about their surroundings. They also jump twice as much as typical mice, which is like a “stimming,” or self-stimulatory, behavior typical in children with autism.

“Whether or not p75NTR turns out to be abnormal in children with autism,” Schor explained, “these studies still hold the promise of helping us explain the mechanisms behind the component behaviors of children with autism.

Schor plans to continue the research, focusing on more behavioral testing, finding evidence of whether children with autism have a p75NTR deficit in their cerebellum and starting pharmaceutical testing to see whether there is a drug that can replace the role p75NTR plays in that part of the brain.

“It’s a long way from a mouse model to a successful treatment in humans, but this is a good clue,” Schor said.

Research to be presented at the Annual Meeting of the Society for the Study of Ingestive Behavior (SSIB), the foremost society for research into all aspects of eating and drinking behavior, describes a way that brain chemistry may make some people notice food more easily, which can tempt overeating even in people who are not overweight. Dopamine activity in the striatum, an area of the brain sensitive to food reward, was linked to how quickly men noticed a food picture hidden among neutral pictures. In turn, the men who quickly noticed food pictures also ate more.

From rodent research it is clear that dopamine action in the striatum motivates eating, and this goes awry in obesity. “We do know that in human obesity the striatal dopamine system is affected, but interesting enough we know little about the striatal dopamine system of young, healthy individuals and how it relates to the motivation to eat” says Susanne la Fleur from the Academic Medical Center in Amsterdam, who directed the study linking dopamine, attention to food, and eating.

Ordinarily the burst of dopamine during a rewarding activity is eventually stopped when it is re-absorbed into the cells it came from. That re-uptake process requires a brain chemical called “dopamine transporter” (DAT). Lower DAT means dopamine is reabsorbed more slowly, causing it to keep acting on the brain. The researchers scanned brains of healthy, non-obese young men to determine available DAT. The men completed a computerized visual attention task to see how quickly they could detect food pictures among neutral pictures. Subjects were also asked to report food intake during 7 days.

The researchers found that the men with lower DAT, which means higher dopamine activity, showed a stronger visual attention bias towards food, detecting food pictures more quickly. “We could speculate that in healthy humans dopamine does motivate eating, however although we did observe a correlation between striatal dopamine transporter binding and the visual attention bias for food; and between visual attention bias for food and actual food intake, we did not observe a correlation between striatal dopamine transporter binding and actual food intake. Thus, a factor in addition to dopamine must be involved in going from being motivated to actual eating”, la Fleur concluded.

(Source: eurekalert.org)

People who have the most common genetic mutation linked to obesity respond differently to pictures of appetizing foods than overweight or obese people who do not have the genetic mutation, according to a new study published in the Endocrine Society’s Journal of Clinical Endocrinology & Metabolism (JCEM).

More than one-third of adults are obese. Obesity typically results from a combination of eating too much, getting too little physical activity and genetics. In particular, consumption of appetizing foods that are high in calories can lead to weight gain. Highly palatable foods such as chocolate trigger signals in the brain that give a feeling of pleasure and reward. These cravings can contribute to overeating. Reward signals are processed in specific areas of the brain, where sets of neurons release chemicals such as dopamine. However, very little is known about whether the reward centers of the brain work differently in some people who are overweight or obese.

The most common genetic cause of obesity involves mutations in the melanocortin 4 receptor (MC4R), which occur in about 1 percent of obese people and contribute to weight gain from an early age. The researchers compared three groups of people: eight people who were obese due to a problem in the MC4R gene, 10 people who were overweight or obese without the gene mutation and eight people who were normal weight. They performed functional Magnetic Resonance Imaging (fMRI) scans to look at how the reward centers in the brain were activated by pictures of appetizing food such as chocolate cake compared to bland food such as rice or broccoli and non-food items such as staplers.

“In our study, we found that people with the MC4R mutation responded in the same way as normal weight people, while the overweight people without the gene problem had a lower response,” said lead researcher Agatha van der Klaauw, MD, PhD, of the Wellcome Trust-MRC Institute of Metabolic Science at Addenbrooke’s Hospital in Cambridge, U.K. “In fact, the brain’s reward centers light up when people with the mutation and normal weight people viewed pictures of appetizing foods. But overweight people without the mutation did not have the same level of response.”

The scans revealed that obese people with the MC4R mutation had similar activity in the reward centers of the brain when shown a picture of a dessert like cake or chocolate as normal weight people. The researchers found that, in contrast, the reward centers were underactive in overweight and obese volunteers who did not have the gene mutation. This finding is intriguing as it shows a completely different response in two groups of people of the same age and weight.

“For the first time, we are seeing that the MC4R pathway is involved in the brain’s response to food cues and its underactivity in some overweight people,” van der Klaauw said. “Understanding this pathway may help in developing interventions to limit the overconsumption of highly palatable foods that can lead to weight gain.”

To address the obesity epidemic, the Cambridge team is continuing to study the pathways in the brain that coordinate the need to eat and the reward and pleasure of eating

(Source: endocrine.org)

A study published in the American Journal of Geriatric Psychiatry indicates that middle-aged adults with a history of problem drinking are more than twice as likely to suffer from severe memory impairment in later life.

The study highlights the hitherto largely unknown link between harmful patterns of alcohol consumption and problems with memory later in life – problems which may place people at a high risk of developing dementia.

The study was carried out by researchers from the University of Exeter Medical School with support from the NIHR Collaboration for Leadership in Applied Health Research and Care South West Peninsula (NIHR PenCLAHRC).

The research team studied the association between a history of alcohol use disorders (AUDs) and the onset of severe cognitive and memory impairment in 6542 middle-aged adults born between 1931 and 1941. These individuals participated in the Health and Retirement Study in the US.

Participants were first assessed in 1992 and follow-up assessments took place every other year from 1996 to 2010.

A history of AUDs was identified using the CAGE* questionnaire (short for Cut down, Annoyed, Guilty, Eye-opener). Where participants registered a history of AUDs their chances of developing severe memory impairment more than doubled.

The study was led by Dr Iain Lang. He commented: “We already know there is an association between dementia risk and levels of current alcohol consumption – that understanding is based on asking older people how much they drink and then observing whether they develop problems. But this is only one part of the puzzle and we know little about the consequences of alcohol consumption earlier in life. What we did here is investigate the relatively unknown association between having a drinking problem at any point in life and experiencing problems with memory later in life.”

He added: “This finding – that middle-aged people with a history of problem drinking more than double their chances of memory impairment when they are older – suggests three things: that this is a public health issue that needs to be addressed; that more research is required to investigate the potential harms associated with alcohol consumption throughout life; and that the CAGE questionnaire may offer doctors a practical way to identify those at risk of memory/cognitive impairment and who may benefit from help to tackle their relationship with alcohol.”

Dr Doug Brown, Director of Research and Development at Alzheimer’s Society said: “When we talk about drinking too much, the media often focuses on young people ending up in A&E after a night out. However, there’s also a hidden cost of alcohol abuse given the mounting evidence that alcohol abuse can also impact on cognition later in life. This small study shows that people who admitted to alcohol abuse at some point in their lives were twice as likely to have severe memory problems, and as the research relied on self-reporting that number may be even higher.

"This isn’t to say that people need to abstain from alcohol altogether. As well as eating a healthy diet, not smoking and maintaining a healthy weight, the odd glass of red wine could even help reduce your risk of developing dementia."

* The CAGE asks four questions (and the acronym comes from words in each question: Cut down, Annoyed, Guilty, Eye-opener):

1. Have you ever felt you should cut down on your drinking?
2. Have people annoyed you by criticising your drinking?
3. Have you ever felt bad or guilty about your drinking?
4. Have you ever had a drink first thing in the morning to steady your nerves or get rid of a hangover (eye-opener)?

(Source: exeter.ac.uk)

A team of scientists has identified the neurons used in certain types of motion detection—findings that deepen our understanding of how the visual system functions.

“Our results show how neurons in the brain work together as part of an intricate process used to detect motion,” says Claude Desplan, a professor in NYU’s Department of Biology and the study’s senior author.

The study, whose authors included Rudy Behnia, an NYU post-doctoral fellow, as well as researchers from the NYU Center for Neural Science and Yale and Stanford universities, appears in the journal Nature.

The researchers sought to explain some of the neurological underpinnings of a long-established and influential model, the Hassenstein–Reichardt correlator. It posits that motion detection relies on separate input channels that are processed in the brain in ways that coordinate these distinct inputs. The Nature study focused on neurons acting in this processing.

The researchers examined the fruit fly Drosophila, which is commonly used in biological research as a model system to decipher basic principles that direct the functions of the brain.

Previously, scientists studying Drosophila have identified two parallel pathways that respond to either moving light, or dark edges—a dynamic that underscores much of what flies see in detecting motion. For instance, a bird is an object whose dark edges flies see as it first moves across the bright light of the sky; after it passes through their field of view, flies see the light edge of the background sky.

However, the nature of the underlying neurological processing had not been clear.

In their study, the researchers analyzed the neuronal activity of particular neurons used to detect these movements. Specifically, they found that four neurons in the brain’s medulla implement two processing steps. Two neurons— Tm1 and Tm2—respond to brightness decrements (central to the detection of moving dark edges); by contrast, two other neurons— Mi1 and Tm3—respond to brightness increments (or light edges). Moreover, Tm1 responds slower than does Tm2 while Mi1 responds slower than does Tm3, a difference in kinetics that fundamental to the Hassenstein-Reichardt correlator.

In sum, these neurons process the two inputs that precede the coordination outlined by the Hassenstein–Reichardt correlator, thereby revealing elements of the long-sought neural activity of motion detection in the fly.

(Source: nyu.edu)

Johns Hopkins researchers say they have discovered a chemical alteration in a single human gene linked to stress reactions that, if confirmed in larger studies, could give doctors a simple blood test to reliably predict a person’s risk of attempting suicide.

The discovery, described online in The American Journal of Psychiatry, suggests that changes in a gene involved in the function of the brain’s response to stress hormones plays a significant role in turning what might otherwise be an unremarkable reaction to the strain of everyday life into suicidal thoughts and behaviors.

“Suicide is a major preventable public health problem, but we have been stymied in our prevention efforts because we have no consistent way to predict those who are at increased risk of killing themselves,” says study leader Zachary Kaminsky, Ph.D., an assistant professor of psychiatry and behavioral sciences at the Johns Hopkins University School of Medicine. “With a test like ours, we may be able to stem suicide rates by identifying those people and intervening early enough to head off a catastrophe.”

For his series of experiments, Kaminsky and his colleagues focused on a genetic mutation in a gene known as SKA2. By looking at brain samples from mentally ill and healthy people, the researchers found that in samples from people who had died by suicide, levels of SKA2 were significantly reduced.

Within this common mutation, they then found in some subjects an epigenetic modification that altered the way the SKA2 gene functioned without changing the gene’s underlying DNA sequence. The modification added chemicals called methyl groups to the gene. Higher levels of methylation were then found in the same study subjects who had killed themselves. The higher levels of methylation among suicide decedents were then replicated in two independent brain cohorts.

In another part of the study, the researchers tested three different sets of blood samples, the largest one involving 325 participants in the Johns Hopkins Center for Prevention Research Study found similar methylation increases at SKA2 in individuals with suicidal thoughts or attempts. They then designed a model analysis that predicted which of the participants were experiencing suicidal thoughts or had attempted suicide with 80 percent certainty. Those with more severe risk of suicide were predicted with 90 percent accuracy. In the youngest data set, they were able to identify with 96 percent accuracy whether or not a participant had attempted suicide, based on blood test results.

The SKA2 gene is expressed in the prefrontal cortex of the brain, which is involved in inhibiting negative thoughts and controlling impulsive behavior. SKA2 is specifically responsible for chaperoning stress hormone receptors into cells’ nuclei so they can do their job. If there isn’t enough SKA2, or it is altered in some way, the stress hormone receptor is unable to suppress the release of cortisol throughout the brain. Previous research has shown that such cortisol release is abnormal in people who attempt or die by suicide.

Kaminsky says a test based on these findings might best be used to predict future suicide attempts in those who are ill, to restrict lethal means or methods among those a risk, or to make decisions regarding the intensity of intervention approaches.

He says that it might make sense for use in the military to test whether members have the gene mutation that makes them more vulnerable. Those at risk could be more closely monitored when they returned home after deployment. A test could also be useful in a psychiatric emergency room, he says, as part of a suicide risk assessment when doctors try to assess level of suicide risk.

The test could be used in all sorts of safety assessment decisions like the need for hospitalization and closeness of monitoring. Kaminsky says another possible use that needs more study could be to inform treatment decisions, such as whether or not to give certain medications that have been linked with suicidal thoughts.

“We have found a gene that we think could be really important for consistently identifying a range of behaviors from suicidal thoughts to attempts to completions,” Kaminsky says. “We need to study this in a larger sample but we believe that we might be able to monitor the blood to identify those at risk of suicide.”

(Source: hopkinsmedicine.org)

The researchers focused on a network of brain areas they have studied before. These areas are involved in making decisions, performing social tasks and identifying relevant events in the environment to guide behavior. The team’s prior work showed that, in children with autism, activity in these areas was more tightly connected when the brain was at rest than it was in children who didn’t have autism.

The new research shows that, in autism, connectivity in these networks that can be seen on fMRI scans is fairly similar regardless of whether the brain is at rest or performing a task. In contrast, typically developing children have a larger shift in brain connectivity when they perform tasks.

The study looked at 34 kids with autism and 34 typically developing children. All of the children with autism received standard clinical evaluations to characterize the severity of their disorder. Then, the two groups were split in half: 17 children with autism and 17 typically developing children had their brains scanned with fMRI while at rest and while performing simple arithmetic problems. The remaining children had their brains scanned at rest and during a task that asked them to distinguish between different people’s faces. The facial recognition task was chosen because autism is characterized by social deficits; the math task was chosen to reflect an area in which children with autism do not usually have deficits.

Children with autism performed as well as their typically developing peers on both tasks — that is, they were as good at distinguishing between the faces and solving the math problems. However, their brain scan results were different. In addition to the reduced brain flexibility, the researchers showed a correlation between the degree of inflexibility and the severity of restrictive and repetitive behaviors, such as performing the same routine over and over or being obsessed with a favorite topic.

“This is the first study that has examined how the patterns of intrinsic brain connectivity change with a cognitive load in children with autism,” Menon said. The research is the first to demonstrate that brain connectivity in children with autism changes less, relative to rest, in response to a task than the brains of other children, he added.

Guidance for new therapies

“The findings may help researchers evaluate the effects of different autism therapies,” said Kaustubh Supekar, PhD, a research associate and the other lead author of the study. “Therapies that increase the brain’s flexibility at switching from rest to goal-directed behaviors may be a good target, for instance.”

“We’re making progress in identifying a brain basis of autism, and we’re starting to get traction in pinpointing systems and signaling mechanisms that are not functioning properly,” Menon said. “This is giving us a better handle both in thinking about treatment and in looking at change or plasticity in the brain.”

(Source: med.stanford.edu)