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A team of caregivers are trained and monitored to provide personalize care which includes, hugs, massage, assistance in daily living, gourmet meals, health care monitoring, preventive health tips, senior care tips, making home senior safe and more. Call 408-854-1883 for free assessment and free senior care tips.

Clean up your closet and dressing the Apple Shape

We need to reduce our storage, move easily, transform our appearance, simplify our lives and work smart. It starts with our closet and our wardrobes. Save time. Give away stuff you no longer use or need.

Have valuable time for your passion, life, work and business.

Ways to clean up your closet and find a new wardrobe for you without breaking your wallet:

  • Try simplicity.
  • Donate to charity or friends wardrobes you no longer use or need.
  • Get a new fix.

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The Facts About Figures: The Apple Shape

Apple shapes, rejoice! We’re here right now to chat about how you, yes you can dress your shape and play up your most favorite features. Before we get started, let’s get one thing straightened out—inverted triangles and apple are somewhat synonymous. Both shapes are known for their broader shoulders, but typically, true apple shapes carry a little more in their midsection while inverted triangles do not. No matter what features you want to flaunt (or conceal), we’ve got your covered with this 5-step guide to dressing your apple shape figure.

Top health tricks and tips 8-6-2018

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Pregnant with Epilepsy? Folic Acid May Prevent Language Delays

Pregnant with Epilepsy? Folic Acid May Prevent Language Delays

Summary: A new study links folic acid intake in pregnant women with epilepsy and language development in children. Researchers report among children whose mothers with epilepsy did not take folic acid, 34% had delayed language skills at 18 months.

Source: ANN.

Women who take epilepsy drugs while they are pregnant may have a lower risk of having a child with delays in language skills if they take folic acid supplements before and early in pregnancy, according to a study published in the August 1, 2018, online issue of Neurology.

The study found that among children whose mothers took epilepsy drugs while they were pregnant, those whose mothers did not take folic acid supplements were four times more likely to have delays in their language skills when they were 18 months old compared to children of mothers without epilepsy whose mothers did not take folic acid supplements. By three years old, those whose mothers took no supplements were nearly five times as likely to have language delays compared to children of mothers without epilepsy.

The study was conducted in Norway, where the government does not require foods to be fortified with folic acid, which is required in the United States. Even with folic acid added to foods, taking additional supplements is recommended for pregnant women in the United States.

“These results are important for women with epilepsy all over the world because many epilepsy drugs interact with the way folate is metabolized by the body, so we are still learning how much folic acid is needed for women with epilepsy and how it benefits their children,” said study author Elisabeth Synnøve Nilsen Husebye, MD, of the University of Bergen in Bergen, Norway.

The study involved 335 children of mothers with epilepsy who took epilepsy drugs while they were pregnant and 104,222 children of mothers without epilepsy. Maintaining effective epilepsy treatment during pregnancy is important because seizures may cause harm to the fetus and the mother.

Researchers collected information on use of epilepsy drugs and folic acid supplements. Parents filled out surveys about their children’s language development at 18 months and three years.

Among the children whose mothers did not take folic acid, 34 percent of the children of mothers with epilepsy had delayed language skills at 18 months, compared to 11 percent of the children whose mothers did not have epilepsy. At three years old, 24 percent of the children of mothers with epilepsy had a delay in expressive language skills, compared to 6 percent of those with mothers without epilepsy.

Among the children whose mothers did take folic acid, 17 percent of children of mothers with epilepsy had language delay at 18 months, compared to 11 percent in the control group.

The results remained the same after researchers controlled for other factors that could affect language skills, such as education level of the parents, smoking and alcohol use during pregnancy and gestational age.

Husebye also noted that the mothers of children exposed to epilepsy drugs with language delays started taking folic acid later in pregnancy, with the average starting at week 6.5 of pregnancy for those with language delay at 18 months. Mothers with children exposed to epilepsy drugs with no delays in language skills most often started taking folic acid three weeks before they conceived.

“The apparently protective effect of taking folic acid supplements was striking,” Husebye said. “Half of the risk of having language delays at 18 months could be attributed to the lack of folic acid in children exposed to epilepsy drugs, while in children of mothers without epilepsy only 6 percent of the risk was attributed to the lack of supplements.”

Husebye also noted that the critical period for supplementation to prevent language delays was from four weeks before the start of pregnancy until the end of the first trimester.

A limitation of the study was that the children’s language skills were not assessed by a researcher but provided by the parents.

ABOUT THIS NEUROSCIENCE RESEARCH ARTICLE

Funding: The study was supported by Norwegian Ministry of Health and Care Services and Ministry of Education and Research and the US National Institutes of Health, National Institute of Environmental Health Sciences and National Institute of Neurological Disorders and Stroke.

Source: Renee Tessman – ANN
Publisher: Organized by NeuroscienceNews.com.
Image Source: NeuroscienceNews.com image is in the public domain.
Original Research: Abstract for “Verbal abilities in children of mothers with epilepsy: Association to maternal folate status” by Elisabeth Synnøve Nilsen Husebye, Nils Erik Gilhus, Bettina Riedel, Olav Spigset, Anne Kjersti Daltveit, Marte Helene Bjørk in Neurology. Published August 16 2018.
doi:10.1212/WNL.0000000000006073

CITE THIS NEUROSCIENCENEWS.COM ARTICLE
ANN”Pregnant with Epilepsy? Folic Acid May Prevent Language Delays.” NeuroscienceNews. NeuroscienceNews, 6 August 2018.
<http://neurosciencenews.com/folic-acid-language-epilepsy-9664/&gt;.

Abstract

Verbal abilities in children of mothers with epilepsy: Association to maternal folate status

Objective
To examine the effect of maternal folic acid supplementation and maternal plasma folate and antiepileptic drug (AED) concentrations on language delay in AED-exposed children of mothers with epilepsy.

Methods
Children of mothers with and without epilepsy enrolled from 1999 to 2008 in the Norwegian Mother and Child Cohort study were included. Information on medical history, AED use, and folic acid supplementation during pregnancy was collected from parent-completed questionnaires. Maternal plasma folate and maternal plasma and umbilical cord AED concentrations were measured in blood samples from gestational weeks 17 to 19 and immediately after birth, respectively. Language development at 18 and 36 months was evaluated by the Ages and Stages Questionnaires.

Results
A total of 335 AED-exposed children of mothers with epilepsy and 104,222 children of mothers without epilepsy were surveyed. For those with no maternal periconceptional folic acid supplementation, the fully adjusted odds ratio (OR) for language delay in AED-exposed children compared to the controls at 18 months was 3.9 (95% confidence interval [CI] 1.9–7.8, p < 0.001) and at 36 months was 4.7 (95% CI 2.0–10.6, p < 0.001). When folic supplementation was used, the corresponding ORs for language delay were 1.7 (95% CI 1.2–2.6, p = 0.01) and 1.7 (95% CI 0.9–3.2, p = 0.13), respectively. The positive effect of folic acid supplement use on language delay in AED-exposed children was significant only when supplement was used in the period from 4 weeks before the pregnancy and until the end of the first trimester.

Conclusion
Folic acid use early in pregnancy may have a preventive effect on language delay associated with in utero AED exposure.

Motherhealth Senior Care Kit

The kit will contain a bag of tips and tricks tailor fit to each senior. It will contain special massage oils, instructions to caregivers, guide for senior care specific to the particular senior.

Each senior have specific needs but they all respond to hugs and massage. One would need special companion to lessen his anxiety. But after you give him a hug and kiss, he will obey your caregiving orders.

A senior client who is bed-ridden wants special bed bath with massage and care for his skin with special oils from coconut to all essential oils good for his aching lungs.

Another client wants a companion who will prepare her  favorite dish and give her massage at each bed time.

Email motherhealth@gmail.com what would be included in your care kit.

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Donate your car or real estate to Motherhealth 501c6

Dear All,

Some of my caregivers do not have a car or place to stay to help senior clients with their daily living.

Motherhealth provide affordable in home non medical care for seniors in the bay area from Peninsula to Southbay.

Our caregivers treat seniors like family and includes gourmet cooking, massage and health tips from caregivers who use to be nurses, pharmacists and healers.

Any car or real estate donations are much appreciated.

Regards,

Connie Dello Buono

motherhealth@gmail.com

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Tickborne Diseases Are Likely to Increase

Tickborne Diseases Are Likely to Increase, Say NIAID Officials

The incidence of tickborne infections in the United States has risen significantly within the past decade. It is imperative, therefore, that public health officials and scientists build a robust understanding of pathogenesis, design improved diagnostics, and develop preventive vaccines, according to a new commentary in the New England Journal of Medicine from leading scientists at the National Institute of Allergy and Infectious Diseases (NIAID), part of the National Institutes of Health (NIH).

Bacteria cause most tickborne diseases in the United States, with Lyme disease representing the majority (82 percent) of reported cases. The spirochete Borrelia burgdorferi is the primary cause of Lyme disease in North America; it is carried by hard-bodied ticks that then feed on smaller mammals, such as white-footed mice, and larger animals, such as white-tailed deer. Although there are likely many factors contributing to increased Lyme disease incidence in the U.S., greater tick densities and their expanding geographical range have played a key role, the authors write. For example, the Ixodes scapularis tick, which is the primary source of Lyme disease in the northeastern U.S., had been detected in nearly 50 percent more counties by 2015 than was previously reported in 1996. Although most cases of Lyme disease are successfully treated with antibiotics, 10 to 20 percent of patients report lingering symptoms after effective antimicrobial therapy. Scientists need to better understand this lingering morbidity, note the authors.

Tickborne virus infections are also increasing and could cause serious illness and death. For example, Powassan virus (POWV), recognized in 1958, causes a febrile illness that can be followed by progressive and severe neurologic conditions, resulting in death in 10 to 15 percent of cases and long-term symptoms in as many as 70 percent of survivors. Only 20 U.S. cases of POWV infection were reported before 2006; 99 cases were reported between 2006 and 2016.

The public health burden of tickborne disease is considerably underreported, according to the authors. For example, the U.S. Centers for Disease Control and Prevention (CDC) reports approximately 30,000 cases of Lyme disease annually in the U.S. but estimates that the true incidence is 10 times that number. According to the authors, this is due in part to the limitations of current tickborne disease surveillance, as well as current diagnostics, which may be imprecise in some cases and are unable to recognize new tickborne pathogens as they emerge. These limitations have led researchers to explore new, innovative diagnostics with different platforms that may provide clinical benefit in the future.

It is also critical that scientists develop vaccines to prevent disease, the authors write. A vaccine to protect against Lyme disease was previously developed, but was pulled from the market and is no longer available. Future protective measures could include vaccines specifically designed to create an immune response to a pathogen, or to target pathogens inside the ticks that carry them.

By focusing research on the epidemiology of tickborne diseases, improving diagnostics, finding new treatments and developing preventive vaccines, public health officials and researchers may be able to stem the growing threat these diseases pose. In the meantime, the authors suggest, healthcare providers should advise their patients to use basic prevention techniques: wear insect repellant, wear long pants when walking in the woods or working outdoors, and check for ticks.

ARTICLE:
CI Paules, HD Marston, ME Bloom and AS Fauci. Tickborne Diseases—Confronting a Growing Threat. New England Journal of Medicine DOI: 10.1056/NEJMp1807870 (2018).

WHO:
NIAID Director Anthony S. Fauci, M.D., and Marshall Bloom, M.D., director of NIAID’s Rocky Mountain Laboratories, are available to discuss the article.

Sleep, blue light, diabetes, fat, and brain detox

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Blue Light Insomnia: What You Need To Know

lot goes into good sleep hygiene—a comfortable mattress and pillow, the right amount of noise or silence, and even the lighting in your room.

Everyone has different needs when it comes to lighting, but if you are trying to narrow down the root cause of your insomnia and can’t figure it out, it could just be that your computer screen or your iPad is to blame.

Scientists are calling this phenomenon “blue light insomnia.”

I have to admit that “blue light insomnia” is a pretty counterintuitive concept to me, which tells me that I am outside the normal curve here, because there’s solid scientific evidence backing this theory up.

Discover in 7 questions why you have problems sleeping at night, if you have insomnia, and uncover proven ways to sleep better.  Take The Sleep Quiz Now! 

Personally I always found bluish light to be “soothing” and warmer hues of light like green to be a bit “harsh” when it comes to sleep, but apparently that is just me.

Research studies back up the idea that blue light is the worst light color for your mood!

and it turns out that lights in the blue wavelength actually disrupt your circadian rhythms!

What are Circadian Rhythms?

Before we can talk about blue light insomnia, we need to talk about circadian rhythms. This is an important biological concept to understand before you can really understand what is going on with blue light insomnia.

When I was in middle school, I vividly remember my first period morning algebra teacher would drag our class outdoors for ten minutes and then bring us back inside. She did this because the sun had finally come up; on the bus ride to school, the sun was still under the horizon or very low in the sky.

She told us that we needed to see the sunlight so we would wake up properly, and that it was unnatural for us to have to wake up before the sun and then sit indoors in our windowless classroom.

It didn’t work for me at all. I was still fast asleep in algebra class—but that’s what happens when you get five hours a night. But I did learn something about science from my algebra teacher, and it stuck with me for the rest of my life.

She taught me about circadian rhythms.

Circadian rhythms are what make you feel alert during the day and sleepy after sunset.

Sometimes the phrase “circadian rhythms” is used interchangeably with the term “biological clock.”

Bonus: Download This 7-Day Sleep Reset that will show you exactly how to tackle your worst sleep problems quickly.

According to the National Institute of Health’s fact sheet on circadian rhythms, circadian rhythms are “physical, mental and behavioral changes that follow a roughly 24-hour cycle, responding primarily to light and darkness.”

The cycle isn’t exactly 24 hours for everyone, and your circadian rhythms are driven in part by your biological clock. In short, circadian rhythms are not actually produced by your environment (they are produced by your internal biological clock), but they are affected by environmental signals.

So your body does produce its own rhythm, but light and dark signals in your environment will have an influence. If your rhythms are out of whack, you can experience problems with hormones, bodily functions, mood and (you guessed it) insomnia.

Years later as an adult, I actually do notice the effects of circadian rhythms. I sleep on a more regular schedule and get plenty of sleep most nights, so I have actually established a proper rhythm.

But I noticed throughout the year how they differing hours of daylight can really disrupt my sleep schedule.  

In the winter, when the sun doesn’t come up until later in the morning, I sleep really well! In the summer, when the sun comes up at five in the morning, I sometimes have to cover my eyes to sleep.

And when I do, the sleep I get is always much higher in quality and so much more refreshing than it is if I leave my eyes exposed to the light.

It’s been fascinating finally observing these circadian rhythms my middle school teacher taught me about. And that made me very interested in this blue light phenomenon.

How Does Light Affect Circadian Rhythms and Sleep?

When you start feeling drowsy before sleep, it is because your body is producing a hormone called melatonin. Your body’s master clock is located right above your optic nerves, which means that your body clock is very responsive to changes in optic conditions.

When there is less light, your body clock triggers the production of more melatonin, producing a drowsy state.

RELATED: 14 Ways To Sleep Better Naturally 

When there is more light, your body clock triggers the suppression of melatonin production. This can make you feel more awake—which was why my algebra teacher used to take us outside in the mornings, hoping it would wake us up…and if I’d been getting a regular amount of sleep each night, it would have worked.

The sunlight would have suppressed my melatonin production, and my drowsiness would have abated.

So basically, if you have lights on at night, you are probably disrupting your body’s melatonin production to some degree, which in turn triggers you to feel alert, just as the sun would. And what wavelength of light is the worst? Blue light! According to Harvard researchers, blue light can suppress melatonin for about twice as long as green light. It can shift circadian rhythms by about twice the length of time.

Red lights apparently are the least damaging and will have less of an effect on your melatonin levels than blue or green light.

Blue Light Also Affects Mood

As if that weren’t bad enough, blue light at night presents other dangers to your body and mind. Researchers in 2013 did a study on hamsters to see whether certain colors of lighting has an impact on their mood.

Hamsters exposed to red light at night seemed significantly less depressed than hamsters exposed to blue light at night or even white light (the depressed hamsters skipped out on sugar water, a tasty treat they usually enjoy).

The only hamsters that were better off than those exposed to red light were those that were in darkness.

This is also tied to your body’s master clock. It turns out the same photosensitive cells in your retina that send messages to your body’s clock also send messages to the part of your brain which regulates your emotions.

So while blue light suppresses your melatonin production, it also makes you feel like you’re down in the dumps.

Definitely take your own color psychology into consideration though when you are selecting lighting colors at home. By default, you probably want to choose a red night light or another warm color and steer clear of blue and cooler colors.

But if you have an overly negative association with red light or a very positive, soothing association with blue light, you might do better with blue.

Try red first, though! You may be surprised how well it works.

The Dangers of Modern Life

In our high-tech, constantly connected times, we are in more danger from blue light insomnia than ever! Do you leave your computer screen on all night, projecting that dim indigo glow on your wall? Do you sleep with your iPad on your bedside table? Do you play computer games or watch a lot of television before bed?

Research backs it up

these habits could be depriving you of much-needed rest! Even if you don’t feel like that’s true, it is worth disconnecting and powering down for a few nights to see if it makes a difference. Again, you may be surprised.

There is another hazard in modern times, and that is that we are replacing our warm, incandescent light bulbs with energy-conserving LED lights. While LED lights are better for the environment and for your wallet, be wary of the cooler lights you see for sale. Many LED lights are closer to pure white on the color spectrum than traditional incandescent bulbs. Search for LED lights which are warmer in tone. These are much better for you to use at night.

What Can You Do About Blue Light Insomnia?

Now that you are aware of the blue light insomnia phenomenon, you can do something about it. Some of these suggestions I have already discussed. Here is how you can improve your sleep hygiene and negate the harmful effects of blue light insomnia:

  • Replace any blue night lights in your home with red night lights. If you do not like red, at least try to stick with a color which is warmer like orange or yellow.
  • Replace cold white lights in your home with warmer-tone lights. When purchasing LED light bulbs, be particularly careful.
  • Turn off electronic screens at night, including your television screen, your laptop or desktop screen, and your mobile devices.
  • Avoid activities which involve looking at a bright screen 2-3 hours before you head to bed. Instead of playing video games or watching television, consider reading a book or working on a hobby.
  • Use good “wake” hygiene too. During the daytime, expose yourself to plenty of sunlight. Open your windows and spend time outside. This will also help to keep your circadian rhythms going.
  • Consider not using a night light at all. Many people find they fall asleep more easily and enjoy deeper, more restful sleep in total darkness. Of course, if this is a safety issue for you, you should consider another solution.
  • Think about buying a sleep mask. A sleep mask will cost you only a few dollars, and is comfortably designed for nighttime wear. It will block light from your eyes and allow you to sleep soundly. That way you can leave on any lights you choose at night, without exposing your optic nerves. A sleep mask also works great for those summer mornings when the sun gets up before you do.
  • Establish a regular sleep schedule. I cannot emphasize this enough. It will do more to establish healthy circadian rhythms than just about anything else. Make sure you are giving yourself plenty of hours to sleep every night, and try to sleep during roughly the same hours every night. This more than anything made a huge difference for me.

Make it your personal challenge tonight to switch off all of your devices and go to sleep in a dark, comfortable environment.

It may be hard turning off your iPad, but once you do, you may never look back!

Say goodbye to blue light insomnia and hell to restful, rejuvenating sleep!

Artificial Intelligence Can Predict Your Personality By Simply Tracking Your Eyes

Artificial Intelligence Can Predict Your Personality By Simply Tracking Your Eyes

Summary: Researchers have developed a new deep learning algorithm that can reveal your personality type, based on the Big Five personality trait model, by simply tracking eye movements.

Source: University of South Australia.

It’s often been said that the eyes are the window to the soul, revealing what we think and how we feel. Now, new research reveals that your eyes may also be an indicator of your personality type, simply by the way they move.

Developed by the University of South Australia in partnership with the University of Stuttgart, Flinders University and the Max Planck Institute for Informatics in Germany, the research uses state-of-the-art machine-learning algorithms to demonstrate a link between personality and eye movements.

Findings show that people’s eye movements reveal whether they are sociable, conscientious or curious, with the algorithm software reliably recognising four of the Big Five personality traits: neuroticism, extroversion, agreeableness, and conscientiousness.

Researchers tracked the eye movements of 42 participants as they undertook everyday tasks around a university campus, and subsequently assessed their personality traits using well-established questionnaires.

UniSA’s Dr Tobias Loetscher says the study provides new links between previously under-investigated eye movements and personality traits and delivers important insights for emerging fields of social signal processing and social robotics.

“There’s certainly the potential for these findings to improve human-machine interactions,” Dr Loetscher says.

a blue face

“People are always looking for improved, personalised services. However, today’s robots and computers are not socially aware, so they cannot adapt to non-verbal cues.

“This research provides opportunities to develop robots and computers so that they can become more natural, and better at interpreting human social signals.”

Dr Loetscher says the findings also provide an important bridge between tightly controlled laboratory studies and the study of natural eye movements in real-world environments.

“This research has tracked and measured the visual behaviour of people going about their everyday tasks, providing more natural responses than if they were in a lab.

“And thanks to our machine-learning approach, we not only validate the role of personality in explaining eye movement in everyday life, but also reveal new eye movement characteristics as predictors of personality traits.”

ABOUT THIS NEUROSCIENCE RESEARCH ARTICLE

Source: Annabel Mansfield – University of South Australia
Publisher: Organized by NeuroscienceNews.com.
Image Source: NeuroscienceNews.com image is in the public domain.
Original Research: Open access research for “Eye Movements During Everyday Behavior Predict Personality Traits” by Sabrina Hoppe, Tobias Loetscher, Stephanie A. Morey and Andreas Bulling in Frontiers in Human Neuroscience. Published April 14 2018.
doi:10.3389/fnhum.2018.00105

CITE THIS NEUROSCIENCENEWS.COM ARTICLE
University of South Australia”Artificial Intelligence Can Predict Your Personality By Simply Tracking Your Eyes.” NeuroscienceNews. NeuroscienceNews, 27 July 2018.
<http://neurosciencenews.com/ai-personality-9621/&gt;.

Abstract

Eye Movements During Everyday Behavior Predict Personality Traits

Besides allowing us to perceive our surroundings, eye movements are also a window into our mind and a rich source of information on who we are, how we feel, and what we do. Here we show that eye movements during an everyday task predict aspects of our personality. We tracked eye movements of 42 participants while they ran an errand on a university campus and subsequently assessed their personality traits using well-established questionnaires.

Using a state-of-the-art machine learning method and a rich set of features encoding different eye movement characteristics, we were able to reliably predict four of the Big Five personality traits (neuroticism, extraversion, agreeableness, conscientiousness) as well as perceptual curiosity only from eye movements.

Further analysis revealed new relations between previously neglected eye movement characteristics and personality. Our findings demonstrate a considerable influence of personality on everyday eye movement control, thereby complementing earlier studies in laboratory settings. Improving automatic recognition and interpretation of human social signals is an important endeavor, enabling innovative design of human–computer systems capable of sensing spontaneous natural user behavior to facilitate efficient interaction and personalization.

A New Model For How Brain Reward Response May Impact Anorexia

A New Model For How Brain Reward Response May Impact Anorexia

Summary: Researchers report the brain’s response to taste stimuli is linked to higher anxiety and a drive for thinness in those with anorexia.

Source: University of Colorado.

Researchers at the University of Colorado Anschutz Medical Campus have found that the brain’s response to taste stimuli is linked to high anxiety and a drive for thinness that could play a role in driving anorexia nervosa.

The study was published last week in the journal JAMA Psychiatry.

The researchers, led by Dr. Guido Frank, MD, associate professor of psychiatry and neuroscience at the University of Colorado School of Medicine, monitored a large group of patients with anorexia nervosa as they tasted sugar during brain imaging.

They found their brain response was higher than those in the control group, representing a biological marker for the illness. At the same time, this brain response was related to high anxiety and less weight gain for those being treated for anorexia nervosa.

Frank found that as these patients restricted their diet, a brain reward circuit associated with the neurotransmitter dopamine becomes more active but also triggers anxiety. This makes food avoidance worse and perpetuates the often deadly disease.

“When you lose weight your brain reward response goes up,” said Frank. “But instead of driving eating, we believe it elevates anxiety in anorexia nervosa, which makes them want to restrict more. This becomes then a vicious cycle.”

Using brain scans, the researchers examined 56 female adolescent and young adults with anorexia nervosa between the ages of 11 and 21 and 52 healthy control participants of the same age. They all learned to associate colored shapes with either getting or not getting a sugary solution. Sometimes when they expected sugar they got nothing, and sometimes when they didn’t expect sugar they received it.

Those with the eating disorder responded more strongly to the unexpected getting or not getting of sugar water, perhaps due to the release of dopamine.

The researchers found that the higher the brain response, the higher the harm avoidance in those with anorexia nervosa was. Harm avoidance is an anxiety measure for excessive worrying and fearfulness. In these patients, it pushes the drive for thinness and furthers body dissatisfaction.

Frank discovered that the higher the brain response, the lower the weight gain during treatment.

This brain reward response acted on the hypothalamus, which stimulates eating, in the anorexia nervosa group. The researchers hypothesized that this could make it possible to override and fend off signals to eat.

“An enhanced dopamine reward system response is an adaptation to starvation,” the study said. “Individuals vulnerable to developing anorexia nervosa could be particularly sensitive to food restriction and adaptations of reward response during the [mid-adolescence] development period.”

a scales

According to Frank, anorexia nervosa behavior could alter the brain circuits and impact its taste-reward processing mechanisms. Those who are already worried about shape and weight become even more concerned. And a strong response that says “feed me” might be overwhelming and trigger more food restriction instead of eating.

The study noted that while most people like sweet tasting things, those with eating disorders associate the taste with weight gain and try to avoid it. Frank found that the brain activation among the anorexia group was inversely connected with any pleasant experience of eating sugar.

“Our data raise the possibility that adolescents with anorexia nervosa in this study were negatively conditioned to sweet taste and may have developed an inverse association with dopamine release across the larger (brain) reward circuitry,” the study said.

Frank believes these insights could lead to new treatments for eating disorders.

“I hope we can use these findings to manipulate these biomarkers and design better treatments for this often-deadly disease,” he said.

ABOUT THIS NEUROSCIENCE RESEARCH ARTICLE

Source: David Kelly – University of Colorado
Publisher: Organized by NeuroscienceNews.com.
Image Source: NeuroscienceNews.com image is in the public domain.
Original Research: Open access research for “Association of Brain Reward Learning Response With Harm Avoidance, Weight Gain, and Hypothalamic Effective Connectivity in Adolescent Anorexia Nervosa” by Guido K. W. Frank, MD; Marisa C. DeGuzman, BA, BS; Megan E. Shott, BS; Mark L. Laudenslager, PhD; Brogan Rossi, BS; and Tamara Pryor, PhD in JAMA Psychiatry. Published July 19 2018.
doi:10.1001/jamapsychiatry.2018.2151

CITE THIS NEUROSCIENCENEWS.COM ARTICLE
University of Colorado”A New Model For How Brain Reward Response May Impact Anorexia.” NeuroscienceNews. NeuroscienceNews, 26 July 2018.
<http://neurosciencenews.com/reward-system-anorexia-9617/&gt;.

Abstract

Association of Brain Reward Learning Response With Harm Avoidance, Weight Gain, and Hypothalamic Effective Connectivity in Adolescent Anorexia Nervosa

Importance
Anorexia nervosa (AN) is associated with adolescent onset, severe low body weight, and high mortality as well as high harm avoidance. The brain reward system could have an important role in the perplexing drive for thinness and food avoidance in AN.

Objective
To test whether brain reward learning response to taste in adolescent AN is altered and associated with treatment response, striatal-hypothalamic connectivity, and elevated harm avoidance.

Design, Setting, and Participants
In this cross-sectional multimodal brain imaging study, adolescents and young adults with AN were matched with healthy controls at a university brain imaging facility and eating disorder treatment program. During a sucrose taste classical conditioning paradigm, violations of learned associations between conditioned visual and unconditioned taste stimuli evoked the dopamine-related prediction error (PE). Dynamic effective connectivity during sweet taste receipt was studied to investigate hierarchical brain activation across the brain network that regulates eating. The study was conducted from July 2012 to May 2017, and data were analyzed from June 2017 to December 2017.

Main Outcomes and Measures
Prediction error brain reward response across the insula, caudate, and orbitofrontal cortex; dynamic effective connectivity between hypothalamus and ventral striatum; and treatment weight gain, harm avoidance scores, and salivary cortisol levels and their correlations with PE brain response.

Results
Of 56 female participants with AN included in the study, the mean (SD) age was 16.6 (2.5) years, and the mean (SD) body mass index (BMI; calculated as weight in kilograms divided by height in meters squared) was 15.9 (0.9); of 52 matched female controls, the mean (SD) age was 16.0 (2.8) years, and the mean (SD) BMI was 20.9 (2.1). Prediction error response was elevated in participants with AN in the caudate head, nucleus accumbens, and insula (multivariate analysis of covariance: Wilks λ, 0.707; P = .02; partial η2 = 0.296), which correlated negatively with sucrose taste pleasantness. Bilateral AN orbitofrontal gyrus rectus PE response was positively correlated with harm avoidance (right ρ, 0.317; 95% CI, 0.091 to 0.539; P < .02; left ρ, 0.336; 95% CI, 0.112 to 0.550; P < .01) but negatively correlated with treatment BMI change (right ρ, −0.282; 95% CI, −0.534 to −0.014; P < .04; left ρ, −0.268; 95% CI, −0.509 to −0.018; P < .045). Participants with AN showed effective connectivity from ventral striatum to hypothalamus, and connectivity strength was positively correlated with insula and orbitofrontal PE response. Right frontal cortex PE response was associated with cortisol, which correlated with body dissatisfaction.

Conclusions and Relevance
These results further support elevated PE signal in AN and suggest a link between PE and elevated harm avoidance, brain connectivity, and weight gain in AN. Prediction error may have a central role in adolescent AN in driving anxiety and ventral striatal-hypothalamus circuit-controlled food avoidance.

Accumulation of toxic protein linked to mental health issues

System that Could Reduce Neurodegeneration in Huntington’s Discovered

Summary: Researchers have identified a mechanism that may reduce the toxic aggregation of the huntingtin protein. The findings could lead to new treatment options for Huntington’s patients.

Source: University of Cologne.

Dr David Vilchez and his team at CECAD have made an important step towards understanding the mechanisms that cause the neurodegenerative disorder Huntington’s disease. Particularly, they identified a system blocking the accumulation of toxin protein aggregates, which are responsible for neurodegeneration. The results have now been published in the journal ‘Nature Communications’.

Huntington’s disease is a neurodegenerative disorder that results in the death of brain cells, leading to uncontrolled body movement, loss of speech and psychosis. Mutations in the huntingtin gene cause the disease, resulting in the toxic aggregation of the huntingtin protein. The accumulation of these aggregates causes neurodegeneration and usually leads to the patient’s death within twenty years after the onset of the disease.

To examine the mechanisms underlying Huntington’s disease, Vilchez and his team used so-called induced pluripotent stem cells (iPSC) from Huntington’s disease patients, which are able to differentiate into any cell type, such as neurons. Induced pluripotent stem cells derived from patients with Huntington’s disease exhibit a striking ability to avoid the accumulation of toxic protein aggregates, a hallmark of the disease. Even though iPSCs express the mutant gene responsible for Huntington’s disease, no aggregates were found.

The protein degradation process

Ribbon diagram of ubiquitin, the highly conserved protein that serves as a molecular tag targeting proteins for degradation by the proteasome

Ubiquitination and targeting

Proteins are targeted for degradation by the proteasome with covalent modification of a lysine residue that requires the coordinated reactions of three enzymes. In the first step, a ubiquitin-activating enzyme (known as E1) hydrolyzes ATP and adenylylates a ubiquitin molecule. This is then transferred to E1’s active-site cysteine residue in concert with the adenylylation of a second ubiquitin.[41] This adenylylated ubiquitin is then transferred to a cysteine of a second enzyme, ubiquitin-conjugating enzyme (E2). In the last step, a member of a highly diverse class of enzymes known as ubiquitin ligases (E3) recognizes the specific protein to be ubiquitinated and catalyzes the transfer of ubiquitin from E2 to this target protein. A target protein must be labeled with at least four ubiquitin monomers (in the form of a polyubiquitin chain) before it is recognized by the proteasome lid.[42] It is therefore the E3 that confers substrate specificity to this system.[43] The number of E1, E2, and E3 proteins expressed depends on the organism and cell type, but there are many different E3 enzymes present in humans, indicating that there is a huge number of targets for the ubiquitin proteasome system.

The mechanism by which a polyubiquitinated protein is targeted to the proteasome is not fully understood. Ubiquitin-receptor proteins have an N-terminal ubiquitin-like (UBL) domain and one or more ubiquitin-associated (UBA) domains. The UBL domains are recognized by the 19S proteasome caps and the UBA domains bind ubiquitin via three-helix bundles. These receptor proteins may escort polyubiquitinated proteins to the proteasome, though the specifics of this interaction and its regulation are unclear.[44]

The ubiquitin protein itself is 76 amino acids long and was named due to its ubiquitous nature, as it has a highly conserved sequence and is found in all known eukaryotic organisms.[45] The genes encoding ubiquitin in eukaryotes are arranged in tandem repeats, possibly due to the heavy transcription demands on these genes to produce enough ubiquitin for the cell. It has been proposed that ubiquitin is the slowest-evolving protein identified to date.[46] Ubiquitin contains seven lysine residues to which another ubiquitin can be ligated, resulting in different types of polyubiquitin chains.[47] Chains in which each additional ubiquitin is linked to lysine 48 of the previous ubiquitin have a role in proteasome targeting, while other types of chains may be involved in other processes.[48][49]

The ubiquitination pathway

Unfolding and translocation

After a protein has been ubiquitinated, it is recognized by the 19S regulatory particle in an ATP-dependent binding step.[25] The substrate protein must then enter the interior of the 20S particle to come in contact with the proteolytic active sites. Because the 20S particle’s central channel is narrow and gated by the N-terminal tails of the α ring subunits, the substrates must be at least partially unfolded before they enter the core. The passage of the unfolded substrate into the core is called translocation and necessarily occurs after deubiquitination.[25] However, the order in which substrates are deubiquitinated and unfolded is not yet clear.[50] Which of these processes is the rate-limiting step in the overall proteolysis reaction depends on the specific substrate; for some proteins, the unfolding process is rate-limiting, while deubiquitination is the slowest step for other proteins.[24] The extent to which substrates must be unfolded before translocation is not known, but substantial tertiary structure, and in particular nonlocal interactions such as disulfide bonds, are sufficient to inhibit degradation.[51] The presence of intrinsically disordered protein segments of sufficient size, either at the protein terminus or internally, has also been proposed to facilitate efficient initiation of degradation.[52][53]

The gate formed by the α subunits prevents peptides longer than about four residues from entering the interior of the 20S particle. The ATP molecules bound before the initial recognition step are hydrolyzed before translocation. While energy is needed for substrate unfolding, it is not required for translocation.[24][25] The assembled 26S proteasome can degrade unfolded proteins in the presence of a non-hydrolyzable ATP analog, but cannot degrade folded proteins, indicating that energy from ATP hydrolysis is used for substrate unfolding.[24] Passage of the unfolded substrate through the opened gate occurs via facilitated diffusion if the 19S cap is in the ATP-bound state.[54]

The mechanism for unfolding of globular proteins is necessarily general, but somewhat dependent on the amino acid sequence. Long sequences of alternating glycine and alanine have been shown to inhibit substrate unfolding, decreasing the efficiency of proteasomal degradation; this results in the release of partially degraded byproducts, possibly due to the decoupling of the ATP hydrolysis and unfolding steps.[55] Such glycine-alanine repeats are also found in nature, for example in silk fibroin; in particular, certain Epstein–Barr virusgene products bearing this sequence can stall the proteasome, helping the virus propagate by preventing antigen presentation on the major histocompatibility complex.[56]

A cutaway view of the proteasome 20S core particle illustrating the locations of the active sites. The α subunits are represented as green spheres and the β subunits as protein backbones colored by individual polypeptide chain. The small pink spheres represent the location of the active-site threonine residue in each subunit. Light blue chemical structures are the inhibitor bortezomib bound to the active sites.

Proteolysis

The mechanism of proteolysis by the β subunits of the 20S core particle is through a threonine-dependent nucleophilic attack. This mechanism may depend on an associated water molecule for deprotonation of the reactive threonine hydroxyl. Degradation occurs within the central chamber formed by the association of the two β rings and normally does not release partially degraded products, instead reducing the substrate to short polypeptides typically 7–9 residues long, though they can range from 4 to 25 residues, depending on the organism and substrate. The biochemical mechanism that determines product length is not fully characterized.[57] Although the three catalytic β subunits have a common mechanism, they have slightly different substrate specificities, which are considered chymotrypsin-like, trypsin-like, and peptidyl-glutamyl peptide-hydrolyzing (PHGH)-like. These variations in specificity are the result of interatomic contacts with local residues near the active sites of each subunit. Each catalytic β subunit also possesses a conserved lysine residue required for proteolysis.[19]

Although the proteasome normally produces very short peptide fragments, in some cases these products are themselves biologically active and functional molecules. Certain transcription factors regulating the expression of specific genes, including one component of the mammalian complex NF-κB, are synthesized as inactive precursors whose ubiquitination and subsequent proteasomal degradation converts them to an active form. Such activity requires the proteasome to cleave the substrate protein internally, rather than processively degrading it from one terminus. It has been suggested that long loops on these proteins’ surfaces serve as the proteasomal substrates and enter the central cavity, while the majority of the protein remains outside.[58] Similar effects have been observed in yeast proteins; this mechanism of selective degradation is known as regulated ubiquitin/proteasome dependent processing (RUP).[59]

Ubiquitin-independent degradation

Although most proteasomal substrates must be ubiquitinated before being degraded, there are some exceptions to this general rule, especially when the proteasome plays a normal role in the post-translational processing of the protein. The proteasomal activation of NF-κB by processing p105 into p50 via internal proteolysis is one major example.[58] Some proteins that are hypothesized to be unstable due to intrinsically unstructured regions,[60] are degraded in a ubiquitin-independent manner. The most well-known example of a ubiquitin-independent proteasome substrate is the enzyme ornithine decarboxylase.[61] Ubiquitin-independent mechanisms targeting key cell cycle regulators such as p53 have also been reported, although p53 is also subject to ubiquitin-dependent degradation.[62] Finally, structurally abnormal, misfolded, or highly oxidized proteins are also subject to ubiquitin-independent and 19S-independent degradation under conditions of cellular stress.[63]

Evolution

The assembled complex of hslV(blue) and hslU (red) from E. coli. This complex of heat shock proteins is thought to resemble the ancestor of the modern proteasome.

The 20S proteasome is both ubiquitous and essential in eukaryotes. Some prokaryotes, including many archaea and the bacterial order Actinomycetales also share homologs of the 20S proteasome, whereas most bacteria possess heat shock genes hslV and hslU, whose gene products are a multimeric protease arranged in a two-layered ring and an ATPase.[64] The hslV protein has been hypothesized to resemble the likely ancestor of the 20S proteasome.[65] In general, HslV is not essential in bacteria, and not all bacteria possess it, whereas some protists possess both the 20S and the hslV systems.[64]Many bacteria also possess other homologs of the proteasome and an associated ATPase, most notably ClpP and ClpX. This redundancy explains why the HslUV system is not essential.

Sequence analysis suggests that the catalytic β subunits diverged earlier in evolution than the predominantly structural α subunits. In bacteria that express a 20S proteasome, the β subunits have high sequence identity to archaeal and eukaryotic β subunits, whereas the α sequence identity is much lower. The presence of 20S proteasomes in bacteria may result from lateral gene transfer, while the diversification of subunits among eukaryotes is ascribed to multiple gene duplication events.[64]

Cell cycle control

Cell cycle progression is controlled by ordered action of cyclin-dependent kinases (CDKs), activated by specific cyclins that demarcate phases of the cell cycle. Mitotic cyclins, which persist in the cell for only a few minutes, have one of the shortest life spans of all intracellular proteins.[1] After a CDK-cyclin complex has performed its function, the associated cyclin is polyubiquitinated and destroyed by the proteasome, which provides directionality for the cell cycle. In particular, exit from mitosis requires the proteasome-dependent dissociation of the regulatory component cyclin B from the mitosis promoting factor complex.[66] In vertebrate cells, “slippage” through the mitotic checkpoint leading to premature M phase exit can occur despite the delay of this exit by the spindle checkpoint.[67]

Earlier cell cycle checkpoints such as post-restriction point check between G1 phase and S phase similarly involve proteasomal degradation of cyclin A, whose ubiquitination is promoted by the anaphase promoting complex (APC), an E3 ubiquitin ligase.[68] The APC and the Skp1/Cul1/F-box protein complex (SCF complex) are the two key regulators of cyclin degradation and checkpoint control; the SCF itself is regulated by the APC via ubiquitination of the adaptor protein, Skp2, which prevents SCF activity before the G1-S transition.[69]

Individual components of the 19S particle have their own regulatory roles. Gankyrin, a recently identified oncoprotein, is one of the 19S subcomponents that also tightly binds the cyclin-dependent kinase CDK4 and plays a key role in recognizing ubiquitinated p53, via its affinity for the ubiquitin ligase MDM2. Gankyrin is anti-apoptotic and has been shown to be overexpressed in some tumor cell types such as hepatocellular carcinoma.[70]

Regulation of plant growth

In plants, signaling by auxins, or phytohormones that order the direction and tropism of plant growth, induces the targeting of a class of transcription factor repressors known as Aux/IAA proteins for proteasomal degradation. These proteins are ubiquitinated by SCFTIR1, or SCF in complex with the auxin receptor TIR1. Degradation of Aux/IAA proteins derepresses transcription factors in the auxin-response factor (ARF) family and induces ARF-directed gene expression.[71] The cellular consequences of ARF activation depend on the plant type and developmental stage, but are involved in directing growth in roots and leaf veins. The specific response to ARF derepression is thought to be mediated by specificity in the pairing of individual ARF and Aux/IAA proteins.[72]

Apoptosis

Both internal and external signals can lead to the induction of apoptosis, or programmed cell death. The resulting deconstruction of cellular components is primarily carried out by specialized proteases known as caspases, but the proteasome also plays important and diverse roles in the apoptotic process. The involvement of the proteasome in this process is indicated by both the increase in protein ubiquitination, and of E1, E2, and E3 enzymes that is observed well in advance of apoptosis.[73][74][75] During apoptosis, proteasomes localized to the nucleus have also been observed to translocate to outer membrane blebs characteristic of apoptosis.[76]

Proteasome inhibition has different effects on apoptosis induction in different cell types. In general, the proteasome is not required for apoptosis, although inhibiting it is pro-apoptotic in most cell types that have been studied. Apoptosis is mediated through disrupting the regulated degradation of pro-growth cell cycle proteins.[77] However, some cell lines — in particular, primary cultures of quiescent and differentiated cells such as thymocytes and neurons — are prevented from undergoing apoptosis on exposure to proteasome inhibitors. The mechanism for this effect is not clear, but is hypothesized to be specific to cells in quiescent states, or to result from the differential activity of the pro-apoptotic kinase JNK.[78] The ability of proteasome inhibitors to induce apoptosis in rapidly dividing cells has been exploited in several recently developed chemotherapy agents such as bortezomib and salinosporamide A.

Response to cellular stress

In response to cellular stresses – such as infectionheat shock, or oxidative damage – heat shock proteins that identify misfolded or unfolded proteins and target them for proteasomal degradation are expressed. Both Hsp27 and Hsp90chaperone proteins have been implicated in increasing the activity of the ubiquitin-proteasome system, though they are not direct participants in the process.[79] Hsp70, on the other hand, binds exposed hydrophobic patches on the surface of misfolded proteins and recruits E3 ubiquitin ligases such as CHIP to tag the proteins for proteasomal degradation.[80] The CHIP protein (carboxyl terminus of Hsp70-interacting protein) is itself regulated via inhibition of interactions between the E3 enzyme CHIP and its E2 binding partner.[81]

Similar mechanisms exist to promote the degradation of oxidatively damaged proteins via the proteasome system. In particular, proteasomes localized to the nucleus are regulated by PARP and actively degrade inappropriately oxidized histones.[82] Oxidized proteins, which often form large amorphous aggregates in the cell, can be degraded directly by the 20S core particle without the 19S regulatory cap and do not require ATP hydrolysis or tagging with ubiquitin.[63] However, high levels of oxidative damage increases the degree of cross-linking between protein fragments, rendering the aggregates resistant to proteolysis. Larger numbers and sizes of such highly oxidized aggregates are associated with aging.[83]

Dysregulation of the ubiquitin proteasome system may contribute to several neural diseases. It may lead to brain tumors such as astrocytomas.[84] In some of the late-onset neurodegenerative diseases that share aggregation of misfolded proteins as a common feature, such as Parkinson’s disease and Alzheimer’s disease, large insoluble aggregates of misfolded proteins can form and then result in neurotoxicity, through mechanisms that are not yet well understood. Decreased proteasome activity has been suggested as a cause of aggregation and Lewy body formation in Parkinson’s.[85] This hypothesis is supported by the observation that yeast models of Parkinson’s are more susceptible to toxicity from α-synuclein, the major protein component of Lewy bodies, under conditions of low proteasome activity.[86] Impaired proteasomal activity may underlie cognitive disorders such as the autism spectrum disorders, and muscle and nerve diseases such as inclusion body myopathy.[84]

Role in the immune system

The proteasome plays a straightforward but critical role in the function of the adaptive immune system. Peptide antigens are displayed by the major histocompatibility complex class I (MHC) proteins on the surface of antigen-presenting cells. These peptides are products of proteasomal degradation of proteins originated by the invading pathogen. Although constitutively expressed proteasomes can participate in this process, a specialized complex composed of proteins, whose expression is induced by interferon gamma, are the primary producers of peptides which are optimal in size and composition for MHC binding. These proteins whose expression increases during the immune response include the 11S regulatory particle, whose main known biological role is regulating the production of MHC ligands, and specialized β subunits called β1i, β2i, and β5i with altered substrate specificity. The complex formed with the specialized β subunits is known as the immunoproteasome.[15] Another β5i variant subunit, β5t, is expressed in the thymus, leading to a thymus-specific “thymoproteasome” whose function is as yet unclear.[87]

The strength of MHC class I ligand binding is dependent on the composition of the ligand C-terminus, as peptides bind by hydrogen bonding and by close contacts with a region called the “B pocket” on the MHC surface. Many MHC class I alleles prefer hydrophobic C-terminal residues, and the immunoproteasome complex is more likely to generate hydrophobic C-termini.[88]

Due to its role in generating the activated form of NF-κB, an anti-apoptotic and pro-inflammatory regulator of cytokine expression, proteasomal activity has been linked to inflammatory and autoimmune diseases. Increased levels of proteasome activity correlate with disease activity and have been implicated in autoimmune diseases including systemic lupus erythematosus and rheumatoid arthritis.[15]

The proteasome is also involved in Intracellular antibody-mediated proteolysis of antibody-bound virions. In this neutralisation pathway, TRIM21 (a protein of the tripartite motif family) binds with immunoglobulin G to direct the virion to the proteasome where it is degraded.


 

Tip: Kill the virus in your brain with whole foods , adequate sleep and exercise in the sun.


 

Soda and diabetes risk