20 Percent of Americans Have Optimal Heart Health

Circulation Journal Report: New Life’s Essential 8™ score reveals concerning data

From:  American Heart Association

June 29, 2022 -- DALLAS, June 29, 2022 — About 80% of people in the U.S. have low to moderate cardiovascular health based on the American Heart Association’s new Life’s Essential 8™ checklist according to a new study published today in Circulation, the Association’s flagship, peer-reviewed journal.  Life’s Essential 8™, also published today in Circulation, details the Association’s updated guidance to measure cardiovascular health, adding healthy sleep as essential for ideal heart and brain health.

Study Highlights:

• Researchers found the U.S. population is well below optimal levels of cardiovascular health after applying the Life’s Essential 8™ cardiovascular health scoring, the American Heart Association’s updated metrics to measure heart and brain health.
• Life’s Essential 8™ scoring was calculated using data from more than 23,400 adults and children from national health surveys from 2013-2018. Results show 80% of people in the U.S. have below-optimal cardiovascular health, and scores differed significantly according to age, gender, race/ethnicity, family income and depression status.
• The average cardiovascular health score based on Life’s Essential 8™ was 64.7 (out of a possible 100) for U.S. adults and 65.5 for children.
• Life’s Essential 8™ is more sensitive to differences in cardiovascular health among groups of people and individuals compared to the previous 7-item scoring system that did not include sleep duration.

The Life’s Essential 8™ metrics are incorporated into the Association’s My Life Check tool to determine a cardiovascular health score based on eight essential components for ideal heart and brain health: diet, physical activity, nicotine exposure, sleep duration, body mass index, blood lipids, blood glucose and blood pressure. It is an updated algorithm from the scientifically proven Life’s Simple 7^™, which did not include sleep heath. Life’s Essential 8™ also updated some of the previous version’s metrics to be more sensitive to differences among groups of people. In adults, overall cardiovascular health is calculated for each individual by summing the scores for each of the 8 metrics together and dividing the total by 8, to provide a Life’s Essential 8™ score ranging from 0-100. Thus, the highest or healthiest cardiovascular health score possible is 100. Overall scores below 50 indicate “low” cardiovascular health, 50-79 is considered “moderate” and scores of 80 and above indicate “high” cardiovascular health.

According to this first study using Life’s Essential 8™ as the measure for cardiovascular health, among more than 23,400 U.S. adults and children free of cardiovascular disease, the overall cardiovascular health of the U.S. population is well below ideal, with 80% of adults scoring at a low or moderate level. Researchers evaluated health information from the U.S. National Health and Nutrition Examination surveys in 2013-2018 that included more than 13,500 adults (ages 20-79 years) and nearly 9,900 children (ages 2 to 19 years).

The analysis found:

• Life’s Essential 8™ aligns with Life’s Simple 7™, however, it was more sensitive to differences in cardiovascular health among groups of people and individuals.
• The average cardiovascular health score based on Life’s Essential 8™ was 64.7 for U.S. adults and 65.5 for U.S. children. The children’s average took into consideration age-based modifications for metrics in diet, physical activity and BMI for children ages 2 through 19 years.
• Only 0.45% of adults scored 100 on Life’s Essential 8™.
• 19.6% of U.S. adults had high cardiovascular health; 62.5% moderate; and 17.9% low.
• Adult women had higher average cardiovascular health scores, of 67, compared to men, with a score of 62.5.
• In general, U.S. adults scored lowest in the areas of diet, physical activity and BMI.
• Cardiovascular health scores were generally lower at older ages.
• Individuals who identify as Non-Hispanic Asian Americans had a higher average cardiovascular health score than other racial/ethnic groups. Non-Hispanic White individuals had the second highest average cardiovascular health score, followed, in order, by Hispanic (other than Mexican), Mexican, and Non-Hispanic Black individuals.
• Children’s diet scores were low, at an average of 40.6.
• Adult sociodemographic groups varied notably in cardiovascular health scores for diet, nicotine exposure, blood glucose and blood pressure.

"These data represent the first look at the cardiovascular health of the U.S. population using the AHA's new Life’s Essential 8™ scoring algorithm,” said Donald M. Lloyd-Jones, M.D., Sc.M., FAHA, who led the study and is president of the American Heart Association, and chair of the department of preventive medicine at Northwestern University’s Feinberg School of Medicine in Chicago. “Overall, the cardiovascular health of the U.S. population is suboptimal, and we see important differences across age and sociodemographic groups. Analyses like this can help policy makers, communities, clinicians and the public to understand the opportunities to intervene to improve and maintain optimal cardiovascular health across the life course.” Lloyd-Jones is also the Eileen M. Foell Professor of Heart Research and professor of preventive medicine, medicine and pediatrics at Northwestern.

Co-authors are Hongyan Ning, M.D., M.S.; Darwin Labarthe, M.D., Ph.D.; LaPrincess Brewer, Ph.D.; Garima Sharma, M.D.; Wayne Rosamond, Ph.D., M.S.; Randi E. Foraker, Ph.D., M.A.; Terrie Black, D.N.P., M.B.A., C.R.R.N.; Michael A. Grandner, Ph.D., M.T.R.; Norrina B. Allen, Ph.D., M.P.H.; Cheryl Anderson, Ph.D., M.P.H., M.S.; Helen Lavretsky, M.D., M.S.; and Amanda M. Perak, M.D., M.S. Authors’ disclosures are listed in the manuscript.

Studies published in the American Heart Association’s scientific journals are peer-reviewed. The statements and conclusions in each manuscript are solely those of the study authors and do not necessarily reflect the Association’s policy or position. The Association makes no representation or guarantee as to their accuracy or reliability. The Association receives funding primarily from individuals; foundations and corporations (including pharmaceutical, device manufacturers and other companies) also make donations and fund specific Association programs and events. The Association has strict policies to prevent these relationships from influencing the science content. Revenues from pharmaceutical and biotech companies, device manufacturers and health insurance providers and the Association’s overall financial information are available here. 

https://newsroom.heart.org/news/only-1-in-5-people-in-the-u-s-has-optimal-heart-health?preview=2c1b

  

New PET-like Plastic Made Directly from Waste Biomass

EPFL scientists have developed a new, PET-like plastic that is easily made from the non-edible parts of plants. The plastic is tough, heat-resistant, and a good barrier to gases like oxygen, making it a promising candidate for food packaging. Due to its structure, the new plastic can also be chemically recycled and degrade back to harmless sugars in the environment.

From:  Ecole Polytechnique Fédérale de Lausanne (EPFL)

June 27, 2022 -- It is becoming increasingly obvious that moving away from fossil fuels and avoiding the accumulation of plastics in the environment are key to addressing the challenge of climate change. In that vein, there are considerable efforts to develop degradable or recyclable polymers made from non-edible plant material referred to as "lignocellulosic biomass."

Of course, producing competitive biomass-based plastics is not straightforward. There is a reason that conventional plastics are so widespread, as they combine low cost, heat stability, mechanical strength, processability, and compatibility -- features that any alternative plastic replacements must match or surpass. And so far, the task has been challenging.

Until now, that is. Scientists led by Professor Jeremy Luterbacher at EPFL's School of Basic Sciences have successfully developed a biomass-derived plastic, similar to PET, that meets the criteria for replacing several current plastics while also being more environmentally friendly.

"We essentially just 'cook' wood or other non-edible plant material, such as agricultural wastes, in inexpensive chemicals to produce the plastic precursor in one step," says Luterbacher. "By keeping the sugar structure intact within the molecular structure of the plastic, the chemistry is much simpler than current alternatives."

The technique is based on a discovery that Luterbacher and his colleagues published in 2016, where adding an aldehyde could stabilize certain fractions of plant material and avoid their destruction during extraction. By repurposing this chemistry, the researchers were able to rebuild a new useful bio-based chemical as a plastic precursor.

"By using a different aldehyde -- glyoxylic acid instead of formaldehyde -- we could simply clip 'sticky' groups onto both sides of the sugar molecules, which then allows them to act as plastic building blocks," says Lorenz Manker, the study's first author. "By using this simple technique, we are able to convert up to 25% of the weight of agricultural waste, or 95% of purified sugar, into plastic."

The well-rounded properties of these plastics could allow them to be used in applications ranging from packaging and textiles to medicine and electronics. The researchers have already made packaging films, fibers that could be spun into clothing or other textiles, and filaments for 3D-printing.

"The plastic has very exciting properties, notably for applications like food packaging," says Luterbacher. "And what makes the plastic unique is the presence of the intact sugar structure. This makes it incredibly easy to make because you don't have to modify what nature gives you, and simple to degrade because it can go back to a molecule that is already abundant in nature."

        https://www.sciencedaily.com/releases/2022/06/220623110952.htm

  

More Disruption Looms Over Semiconductor Market

Colin Campbell reported in internet link Supply Chain Dive on April 14, 2022, about new and ongoing problems with semiconductor marketing.  A facility in Belgium has been shut down – and it supplies eighty percent of semiconductor coolant.  And the war in Ukraine has interrupted the production of neon and argon, which are critical to semiconductor production.

Details can be found at this link:  https://www.supplychaindive.com/news/semiconductor-coolant-belgium-neon-argon-ukraine-effects/622152/

 

Artificial Photosynthesis Produces Food Without Sunshine

Scientists are developing artificial photosynthesis to help make food production more energy-efficient here on Earth, and one day possibly on Mars

From:  University of California, Irvine News

By Holly Ober

June 23, 2022 -- Photosynthesis has evolved in plants for millions of years to turn water, carbon dioxide, and the energy from sunlight into plant biomass and the foods we eat. This process, however, is very inefficient, with only about 1% of the energy found in sunlight ending up in the plant. Scientists at UC Riverside and the University of Delaware have found a way to bypass the need for biological photosynthesis altogether and create food independent of sunlight by using artificial photosynthesis.

The research, published in Nature Food, uses a two-step electrocatalytic process to convert carbon dioxide, electricity, and water into acetate, the form of the main component of vinegar. Food-producing organisms then consume acetate in the dark to grow. Combined with solar panels to generate the electricity to power the electrocatalysis, this hybrid organic-inorganic system could increase the conversion efficiency of sunlight into food, up to 18 times more efficient for some foods.

“With our approach we sought to identify a new way of producing food that could break through the limits normally imposed by biological photosynthesis,” said corresponding author Robert Jinkerson, a UC Riverside assistant professor of chemical and environmental engineering.

In order to integrate all the components of the system together, the output of the electrolyzer was optimized to support the growth of food-producing organisms. Electrolyzers are devices that use electricity to convert raw materials like carbon dioxide into useful molecules and products. The amount of acetate produced was increased while the amount of salt used was decreased, resulting in the highest levels of acetate ever produced in an electrolyzer to date.

“Using a state-of-the-art two-step tandem CO2 electrolysis setup developed in our laboratory, we were able to achieve a high selectivity towards acetate that cannot be accessed through conventional CO2 electrolysis routes,” said corresponding author Feng Jiao at University of Delaware.

Experiments showed that a wide range of food-producing organisms can be grown in the dark directly on the acetate-rich electrolyzer output, including green algae, yeast, and fungal mycelium that produce mushrooms. Producing algae with this technology is approximately fourfold more energy efficient than growing it photosynthetically. Yeast production is about 18-fold more energy efficient than how it is typically cultivated using sugar extracted from corn. 

“We were able to grow food-producing organisms without any contributions from biological photosynthesis. Typically, these organisms are cultivated on sugars derived from plants or inputs derived from petroleum—which is a product of biological photosynthesis that took place millions of years ago. This technology is a more efficient method of turning solar energy into food, as compared to food production that relies on biological photosynthesis,” said Elizabeth Hann, a doctoral candidate in the Jinkerson Lab and co-lead author of the study. 

The potential for employing this technology to grow crop plants was also investigated. Cowpea, tomato, tobacco, rice, canola, and green pea were all able to utilize carbon from acetate when cultivated in the dark. 

“We found that a wide range of crops could take the acetate we provided and build it into the major molecular building blocks an organism needs to grow and thrive. With some breeding and engineering that we are currently working on we might be able to grow crops with acetate as an extra energy source to boost crop yields,” said Marcus Harland-Dunaway, a doctoral candidate in the Jinkerson Lab and co-lead author of the study.

By liberating agriculture from complete dependence on the sun, artificial photosynthesis opens the door to countless possibilities for growing food under the increasingly difficult conditions imposed by anthropogenic climate change. Drought, floods, and reduced land availability would be less of a threat to global food security if crops for humans and animals grew in less resource-intensive, controlled environments. Crops could also be grown in cities and other areas currently unsuitable for agriculture, and even provide food for future space explorers.

“Using artificial photosynthesis approaches to produce food could be a paradigm shift for how we feed people. By increasing the efficiency of food production, less land is needed, lessening the impact agriculture has on the environment. And for agriculture in non-traditional environments, like outer space, the increased energy efficiency could help feed more crew members with less inputs,” said Jinkerson.

This approach to food production was submitted to NASA’s Deep Space Food Challenge where it was a Phase I winner. The Deep Space Food Challenge is an international competition where prizes are awarded to teams to create novel and game-changing food technologies that require minimal inputs and maximize safe, nutritious, and palatable food outputs for long-duration space missions.

“Imagine someday giant vessels growing tomato plants in the dark and on Mars—how much easier would that be for future Martians?” said co-author Martha Orozco-Cárdenas, director of the UC Riverside Plant Transformation Research Center.

Andres Narvaez, Dang Le, and Sean Overa also contributed to the research. The open-access paper, “A hybrid inorganic–biological artificial photosynthesis system for energy-efficient food production,” is available here.

The research was supported by the Translational Research Institute for Space Health (TRISH) through NASA (NNX16AO69A), Foundation for Food and Agriculture Research (FFAR), the Link Foundation, the U.S. National Science Foundation, and the U.S. Department of Energy. The content of this publication is solely the responsibility of the authors and does not necessarily represent the official views of the Foundation for Food and Agriculture Research.

      Artificial photosynthesis can produce food without sunshine | News (ucr.edu)

  

Flu Vaccination Linked to 40% Reduced Risk of Alzheimer's

People who received at least one influenza vaccine were 40% less likely than their non-vaccinated peers to develop Alzheimer's disease over the course of four years, according to a new study.

From:  University of Texas Health Science Center at Houston

June 24, 2022 -- Research led by first author Avram S. Bukhbinder, MD, a recent alumnus of McGovern Medical School at UTHealth Houston, and senior author Paul. E. Schulz, MD, the Rick McCord Professor in Neurology at McGovern Medical School, compared the risk of Alzheimer's disease incidence between patients with and without prior flu vaccination in a large nationwide sample of U.S. adults aged 65 and older.

An early online version of the paper detailing the findings is available in advance of its publication in the Aug. 2 issue of the Journal of Alzheimer's Disease.

"We found that flu vaccination in older adults reduces the risk of developing Alzheimer's disease for several years. The strength of this protective effect increased with the number of years that a person received an annual flu vaccine -- in other words, the rate of developing Alzheimer's was lowest among those who consistently received the flu vaccine every year," said Bukhbinder, who is still part of Schulz's research team while in his first year of residency with the Division of Child Neurology at Massachusetts General Hospital. "Future research should assess whether flu vaccination is also associated with the rate of symptom progression in patients who already have Alzheimer's dementia."

The study -- which comes two years after UTHealth Houston researchers found a possible link between the flu vaccine and reduced risk of Alzheimer's disease -- analyzed a much larger sample than previous research, including 935,887 flu-vaccinated patients and 935,887 non-vaccinated patients.

During four-year follow-up appointments, about 5.1% of flu-vaccinated patients were found to have developed Alzheimer's disease. Meanwhile, 8.5% of non-vaccinated patients had developed Alzheimer's disease during follow-up.

These results underscore the strong protective effect of the flu vaccine against Alzheimer's disease, according to Bukhbinder and Schulz. However, the underlying mechanisms behind this process require further study.

"Since there is evidence that several vaccines may protect from Alzheimer's disease, we are thinking that it isn't a specific effect of the flu vaccine," said Schulz, who is also the Umphrey Family Professor in Neurodegenerative Diseases and director of the Neurocognitive Disorders Center at McGovern Medical School. "Instead, we believe that the immune system is complex, and some alterations, such as pneumonia, may activate it in a way that makes Alzheimer's disease worse. But other things that activate the immune system may do so in a different way -- one that protects from Alzheimer's disease. Clearly, we have more to learn about how the immune system worsens or improves outcomes in this disease."

Alzheimer's disease affects more than 6 million people living in the U.S., with the number of affected individuals growing due to the nation's aging population. Past studies have found a decreased risk of dementia associated with prior exposure to various adulthood vaccinations, including those for tetanus, polio, and herpes, in addition to the flu vaccine and others.

Additionally, as more time passes since the introduction of the COVID-19 vaccine and longer follow-up data becomes available, Bukhbinder said it will be worth investigating whether a similar association exists between COVID-19 vaccination and the risk of Alzheimer's disease.

Co-authors from McGovern Medical School included Omar Hasan, research coordinator in the Department of Neurology and student at The University of Texas MD Anderson Cancer Center UTHealth Houston Graduate School of Biomedical Sciences; Kamal N. Phelps, fourth-year medical student; Srivathsan Ramesh, PhD, first-year resident in the Department of Orthopedic Surgery; and alumni Albert Amran, MD, and Ryan Coburn, MD. Co-authors from UTHealth Houston School of Biomedical Informatics included Yaobin Ling, graduate research assistant; Xiaoqian Jiang, PhD, the Christopher Sarofim Family Professor in Biomedical Informatics and Engineering; and Yejin Kim, PhD, assistant professor. Qian Xiao, PhD, MPH, assistant professor in the Department of Epidemiology and Disease Control with UTHealth School of Public Health, also co-authored the study.

        https://www.sciencedaily.com/releases/2022/06/220624123814.htm

 

Particle Consisting of Four Neutrons Discovered

Research team for the first time observed a neutral nucleus: the Tetra Neutron

From:  TECHNISCHE UNIVERSITAT DARMSTADT [in Germany]

June 22, 2022 -- The experiment has been carried out at the Radioactive Ion Beam Factory RIBF at RIKEN (Japan) by a large international research team. Significantly involved were besides TU Darmstadt, scientists from TU Munich, the RIKEN Nishina Center, and the GSI Helmholtz Center for Heavy-ion Research. The experiment yielded an unambiguous signal for the first observation of the Tetra Neutron. The result has been published in the current issue of “Nature”.

The building blocks of atomic nuclei are nucleons, which exist as two kinds, the neutral neutrons and the charged protons, representing the two isospin states of the nucleon. To our present knowledge, nuclei made of neutrons only are not existing as bound nuclei. The only bound systems known made of almost only neutrons are neutron stars, which are very compact high-density objects in the universe bound by the gravitational force with typical diameters of around 10 kilometers. Atomic nuclei are bound by the nuclear strong force with a preference to balance neutrons and protons, as known for the stable nuclei we find on earth.

The study of pure neutron systems is of particular importance since they provide the only means to extract experimental information on the interaction among several neutrons and thereby on the nuclear force. If multi-neutron systems do exist as resonances or even bound states has been a long-standing quest in nuclear physics. The exploration of the so far hypothetical particles might furthermore provide information helping for a better understanding of neutron-star properties. If multi-neutron systems do exist as unbound resonant states or even bound states has been a long-standing quest in nuclear physics. A research team lead by scientists from TU Darmstadt set out to undertake a new attempt by using a different experimental technique as compared to previous attempts. This work was supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) via the SFB 1245.

“This experimental break-through provides a benchmark to test the nuclear force with a pure system made of neutrons only", says Dr. Meytal Duer from Institute for Nuclear Physics at the TU Darmstadt. “The nuclear interaction among more than two neutrons could not be tested so far, and theoretical predictions yield a wide scatter concerning the energy and width of a possible tetra neutron state. We are currently planning to a next-generation experiment at R3B at FAIR, which will detect directly the correlations among the four neutrons with the R3B NeuLAND detector, which will give deeper insight to the nature of this four-neutron system”.

The experimental study of pure neutron systems is challenging because neutron targets do not exist. In order to create multi-neutron systems in a volume where the neutrons can interact via the short-range nuclear force (few femto-meter, 10^-15 meter), nuclear reactions have to be used. Here, the interaction of the neutrons with other particles involved in the reaction process poses a major problem, which can mask the properties of the pure neutron interaction. The scientists have overcome this problem by shooting out the compact alpha core from ⁸He instantaneously induced by a proton of the liquid hydrogen target. The remaining four neutrons are suddenly free and left alone and can interact among each other.

“Key for the successful observation of the Tetra Neutron was the chosen reaction, which isolates the four neutrons in a fast (compared to the nuclear scale) process, and the chosen kinematics of large momentum-transfer, which separates the neutrons from the charged particles in momentum space”, says Professor Dr. Thomas Aumann from the Institute for Nuclear Physics at TU Darmstadt. “The extreme kinematics resulted in an almost background-free measurement. We now plan to employ the same reaction in an experiment at the RIBF to make a precision measurement of the low-energy neutron-neutron interaction. A dedicated neutron detector for this experiment is currently being built at our university”.

                   https://www.eurekalert.org/news-releases/956785

  

Vitamins, Supplements Are a Waste of Money

For most Americans, there’s no ‘magic set of pills to keep you healthy.’ Diet and exercise are key.

From:  Northwestern Now

By Kristin Samuelson

June 21, 2022 -- Drawn to the allure of multivitamins and dietary supplements filling nutritional gaps in their diet, people in the U.S. in 2021 spent close to $50 billion on vitamins and dietary supplements.

But Northwestern Medicine scientists say for non-pregnant, otherwise healthy Americans, vitamins are a waste of money because there isn’t enough evidence they help prevent cardiovascular disease or cancer.

“Patients ask all the time, ‘What supplements should I be taking?’ They’re wasting money and focus thinking there has to be a magic set of pills that will keep them healthy when we should all be following the evidence-based practices of eating healthy and exercising,” said Dr. Jeffrey Linder, chief of general internal medicine in the department of medicine at Northwestern University Feinberg School of Medicine.

Linder and fellow Northwestern Medicine scientists wrote an editorial that was published June 21 in JAMA that supports new recommendations from the United States Preventive Services Task Force (USPSTF), an independent panel of national experts that frequently makes evidence-based recommendations about clinical preventive services. 

Based on a systematic review of 84 studies, the USPSTF’s new guidelines state there was “insufficient evidence” that taking multivitamins, paired supplements or single supplements can help prevent cardiovascular disease and cancer in otherwise healthy, non-pregnant adults.

“The task force is not saying ‘don’t take multivitamins,’ but there’s this idea that if these were really good for you, we’d know by now,” Linder said.

The task force is specifically recommending against taking beta-carotene supplements because of a possible increased risk of lung cancer, and is recommending against taking vitamin E supplements because it has no net benefit in reducing mortality, cardiovascular disease or cancer. 

“The harm is that talking with patients about supplements during the very limited time we get to see them, we’re missing out on counseling about how to really reduce cardiovascular risks, like through exercise or smoking cessation,” Linder said.

More than half of Americans take vitamins. Why?

More than half of U.S. adults take dietary supplements, and use of supplements is projected to increase, Linder and his colleagues wrote in the JAMA editorial.

Eating fruits and vegetables is associated with decreased cardiovascular disease and cancer risk, they said, so it is reasonable to think key vitamins and minerals could be extracted from fruits and vegetables, packaged into a pill, and save people the trouble and expense of maintaining a balanced diet. But, they explain, whole fruits and vegetables contain a mixture of vitamins, phytochemicals, fiber and other nutrients that probably act synergistically to deliver health benefits. Micronutrients in isolation may act differently in the body than when naturally packaged with a host of other dietary components.

Linder noted individuals who have a vitamin deficiency can still benefit from taking dietary supplements, such as calcium and vitamin D, which have been shown to prevent fractures and maybe falls in older adults.

New guidelines do not apply to pregnant people

The new USPSTF guidelines do not apply to people who are pregnant or trying to get pregnant, said JAMA editorial co-author Dr. Natalie Cameron, an instructor of general internal medicine at Feinberg.

“Pregnant individuals should keep in mind that these guidelines don’t apply to them,” said Cameron, who also is a Northwestern Medicine physician. “Certain vitamins, such as folic acid, are essential for pregnant women to support healthy fetal development. The most common way to meet these needs is to take a prenatal vitamin. More data is needed to understand how specific vitamin supplementation may modify risk of adverse pregnancy outcomes and cardiovascular complications during pregnancy.”

Additionally, recent research from Northwestern has found most women in the U.S. have poor heart health prior to becoming pregnant. Cameron said that, in addition to discussing vitamin supplementation, working with patients to optimize cardiovascular health prior to pregnancy is an important component of prenatal care.

Eating healthy, exercising is ‘easier said than done’

Dr. Jenny Jia, a co-author of the JAMA editorial who studies the prevention of chronic diseases in low-income families through lifestyle interventions, said healthy eating can be a challenge when the U.S. industrialized food system does not prioritize health.

“To adopt a healthy diet and exercise more, that’s easier said than done, especially among lower-income Americans,” said Jia, an instructor of general internal medicine at Feinberg and a Northwestern Medicine physician. “Healthy food is expensive, and people don’t always have the means to find environments to exercise—maybe it’s unsafe outdoors or they can’t afford a facility. So, what can we do to try to make it easier and help support healthier decisions?”

Over the past few years, Jia has been working with charitable food pantries and banks that supply free groceries to people who are in need to try to help clients pick healthier choices from the food pantries as well as educate those who donate to provide healthier options or money.

https://news.northwestern.edu/stories/2022/06/vitamins-supplements-are-a-waste-of-money-for-most-americans/

 

Martian Meteorite Vs Planet Formation Theory

A new study of an old meteorite contradicts current thinking about how rocky planets like the Earth and Mars acquire volatile elements such as hydrogen, carbon, oxygen, nitrogen and noble gases as they form.  The work is published June 16 in Science.

From:  University of California - Davis

June 16, 2022 -- A basic assumption about planet formation is that planets first collect these volatiles from the nebula around a young star, said Sandrine Péron, a postdoctoral scholar working with Professor Sujoy Mukhopadhyay in the Department of Earth and Planetary Sciences, University of California, Davis.

Because the planet is a ball of molten rock at this point, these elements initially dissolve into the magma ocean and then degass back into the atmosphere. Later on, chondritic meteorites crashing into the young planet deliver more volatile materials.

So scientists expect that the volatile elements in the interior of the planet should reflect the composition of the solar nebula, or a mixture of solar and meteoritic volatiles, while the volatiles in the atmosphere would come mostly from meteorites. These two sources -- solar vs. chondritic -- can be distinguished by the ratios of isotopes of noble gases, in particular krypton.

Mars is of special interest because it formed relatively quickly -- solidifying in about 4 million years after the birth of the Solar System, while the Earth took 50 to 100 million years to form.

"We can reconstruct the history of volatile delivery in the first few million years of the Solar System," Péron said.

Meteorite from Mars' interior

Some meteorites that fall to Earth come from Mars. Most come from surface rocks that have been exposed to Mars' atmosphere. The Chassigny meteorite, which fell to Earth in north-eastern France in 1815, is rare and unusual because it is thought to represent the interior of the planet.

By making extremely careful measurements of minute quantities of krypton isotopes in samples of the meteorite using a new method set up at the UC Davis Noble Gas Laboratory, the researchers could deduce the origin of elements in the rock.

"Because of their low abundance, krypton isotopes are challenging to measure," Péron said.

Surprisingly, the krypton isotopes in the meteorite correspond to those from chondritic meteorites, not the solar nebula. That means that meteorites were delivering volatile elements to the forming planet much earlier than previously thought, and in the presence of the nebula, reversing conventional thinking.

"The Martian interior composition for krypton is nearly purely chondritic, but the atmosphere is solar," Péron said. "It's very distinct."

The results show that Mars' atmosphere cannot have formed purely by outgassing from the mantle, as that would have given it a chondritic composition. The planet must have acquired atmosphere from the solar nebula, after the magma ocean cooled, to prevent substantial mixing between interior chondritic gases and atmospheric solar gases.

The new results suggest that Mars' growth was completed before the solar nebula was dissipated by radiation from the Sun. But the irradiation should also have blown off the nebular atmosphere on Mars, suggesting that atmospheric krypton must have somehow been preserved, possibly trapped underground or in polar ice caps.

"However, that would require Mars to have been cold in the immediate aftermath of its accretion," Mukhopadhyay said. "While our study clearly points to the chondritic gases in the Martian interior, it also raises some interesting questions about the origin and composition of Mars' early atmosphere."

Péron and Mukhopadhyay hope their study will stimulate further work on the topic.

Péron is now a postdoctoral fellow at ETH Zürich, Switzerland.

https://www.sciencedaily.com/releases/2022/06/220616141516.htm

 

Single Brain Scan Can Diagnose Alzheimer's

The research uses machine learning technology to look at structural features within the brain, including in regions not previously associated with Alzheimer's. The advantage of the technique is its simplicity and the fact that it can identify the disease at an early stage when it can be very difficult to diagnose.

From:  Imperial College London

June 20, 2022 -- Although there is no cure for Alzheimer's disease, getting a diagnosis quickly at an early stage helps patients. It allows them to access help and support, get treatment to manage their symptoms and plan for the future. Being able to accurately identify patients at an early stage of the disease will also help researchers to understand the brain changes that trigger the disease, and support development and trials of new treatments.

The research is published in the Nature Portfolio Journal, Communications Medicine, and funded through the National Institute for Health and Care Research (NIHR) Imperial Biomedical Research Centre.

Alzheimer's disease is the most common form of dementia, affecting over half a million people in the UK. Although most people with Alzheimer's disease develop it after the age of 65, people under this age can develop it too. The most frequent symptoms of dementia are memory loss and difficulties with thinking, problem solving and language.

Doctors currently use a raft of tests to diagnose Alzheimer's disease, including memory and cognitive tests and brain scans. The scans are used to check for protein deposits in the brain and shrinkage of the hippocampus, the area of the brain linked to memory. All of these tests can take several weeks, both to arrange and to process.

The new approach requires just one of these -- a magnetic resonance imaging (MRI) brain scan taken on a standard 1.5 Tesla machine, which is commonly found in most hospitals.

The researchers adapted an algorithm developed for use in classifying cancer tumours, and applied it to the brain. They divided the brain into 115 regions and allocated 660 different features, such as size, shape and texture, to assess each region. They then trained the algorithm to identify where changes to these features could accurately predict the existence of Alzheimer's disease.

Using data from the Alzheimer's Disease Neuroimaging Initiative, the team tested their approach on brain scans from over 400 patients with early and later stage Alzheimer's, healthy controls and patients with other neurological conditions, including frontotemporal dementia and Parkinson's disease. They also tested it with data from over 80 patients undergoing diagnostic tests for Alzheimer's at Imperial College Healthcare NHS Trust.

They found that in 98 per cent of cases, the MRI-based machine learning system alone could accurately predict whether the patient had Alzheimer's disease or not. It was also able to distinguish between early and late-stage Alzheimer's with fairly high accuracy, in 79 per cent of patients.

Professor Eric Aboagye, from Imperial's Department of Surgery and Cancer, who led the research, said: "Currently no other simple and widely available methods can predict Alzheimer's disease with this level of accuracy, so our research is an important step forward. Many patients who present with Alzheimer's at memory clinics do also have other neurological conditions, but even within this group our system could pick out those patients who had Alzheimer's from those who did not.

"Waiting for a diagnosis can be a horrible experience for patients and their families. If we could cut down the amount of time they have to wait, make diagnosis a simpler process, and reduce some of the uncertainty, that would help a great deal. Our new approach could also identify early-stage patients for clinical trials of new drug treatments or lifestyle changes, which is currently very hard to do."

The new system spotted changes in areas of the brain not previously associated with Alzheimer's disease, including the cerebellum (the part of the brain that coordinates and regulates physical activity) and the ventral diencephalon (linked to the senses, sight and hearing). This opens up potential new avenues for research into these areas and their links to Alzheimer's disease.

Dr Paresh Malhotra, who is a consultant neurologist at Imperial College Healthcare NHS Trust and a researcher in Imperial's Department of Brain Sciences, said: "Although neuroradiologists already interpret MRI scans to help diagnose Alzheimer's, there are likely to be features of the scans that aren't visible, even to specialists. Using an algorithm able to select texture and subtle structural features in the brain that are affected by Alzheimer's could really enhance the information we can gain from standard imaging techniques."

         https://www.sciencedaily.com/releases/2022/06/220620100827.htm

 

Math Model Predicts Efficacy of Drug Treatments for Heart Attacks

Researchers create mouse model to network complex interactions

From:  Ohio State University

June 17, 2022 -- Researchers used mice to develop a mathematical model of a myocardial infarction. The new model predicts several useful new drug combinations that may one day help treat heart attacks, according to researchers.

The new model predicts several useful new drug combinations that may one day help treat heart attacks, according to researchers at The Ohio State University.

Typically caused by blockages in the coronary arteries -- or the vessels that supply blood to the heart -- these cardiovascular events are experienced by more than 800,000 Americans every year, and about 30% end up dying. But even for those who survive, the damage these attacks inflict on the muscles of the heart is permanent and can lead to dangerous inflammation in the affected areas of the heart.

Treatment to restore blood flow to these blocked passages of the heart often includes surgery and drugs, or what's known as reperfusion therapy. Nicolae Moise, lead author of the study and a postdoctoral researcher in biomedical engineering at Ohio State, said the study uses mathematical algorithms to assess the efficacy of the drugs used to combat the potentially lethal inflammation many patients experience in the aftermath of an attack.

"Biology and medicine are starting to become more mathematical," Moise said. "There's so much data that you need to start integrating it into some kind of framework." While Moise has worked on other mathematical models of animal hearts, he said that the framework detailed in the current paper is the most detailed schematic of myocardial infarctions in mice ever made.

The research is published in the Journal of Theoretical Biology.

Represented by a series of differential equations, the model Moise's team created was made using data from previous animal studies. In medicine, differential equations are often used to monitor the growth of diseases in graph form.

But this study chose to model how certain immune cells like myocytes, neutrophils and macrophages -- cells imperative to fighting infection and combating necrosis (toxic injury to the heart) -- react to four different immunomodulatory drugs over a period of one month. These drugs are designed to suppress the immune system so that it doesn't cause as much damaging inflammation in parts of the heart that were damaged.

This research focused on the drugs' efficacy an hour after the mice were treated.

Their findings showed that certain combinations of these drug inhibitors were more efficient at reducing inflammation than others. "In medicine, math and equations can be used to describe these systems," Moise said. "You just need to observe, and you'll find rules and a coherent story between them.

"With the therapies that we're investigating in our model, we can make the patient outcome better, even with the best available medical care," he said.

Depending on their health beforehand, it can take a person anywhere from six to eight months to heal from a heart attack. The quality of care patients receive in those first few weeks could set the tone for how long their road to recovery will be.

Because Moise's simulation is purely theoretical, it won't lead to improved therapies anytime soon. More precise mouse data is needed before their work can become an asset to other scientists, but Moise said he does envision the model as a potential tool in the fight against the ravages of heart disease.

"Its going to be some years before we can actually integrate this kind of approach into actual clinical work," Moise said. "But what we're doing is the first step towards that."

The co-author of the study was Avner Friedman, professor of mathematics at Ohio State. This research was supported by Ohio State's Mathematical Biosciences Institute and the National Science Foundation.

           https://www.sciencedaily.com/releases/2022/06/220617111502.htm

  

Engineers Build Artificial Intelligence Chip

The new design is stackable and reconfigurable, for swapping out and building on existing sensors and neural network processors

From:  Massachusetts Institute of Technology

June 13, 2022 -- Engineers built a new artificial intelligence chip, with a view toward sustainable, modular electronics. The chip can be reconfigured, with layers that can be swapped out or stacked on, such as to add new sensors or updated processors

Imagine a more sustainable future, where cellphones, smartwatches, and other wearable devices don't have to be shelved or discarded for a newer model. Instead, they could be upgraded with the latest sensors and processors that would snap onto a device's internal chip -- like LEGO bricks incorporated into an existing build. Such reconfigurable chipware could keep devices up to date while reducing our electronic waste.

Now MIT engineers have taken a step toward that modular vision with a LEGO-like design for a stackable, reconfigurable artificial intelligence chip.

The design comprises alternating layers of sensing and processing elements, along with light-emitting diodes (LED) that allow for the chip's layers to communicate optically. Other modular chip designs employ conventional wiring to relay signals between layers. Such intricate connections are difficult if not impossible to sever and rewire, making such stackable designs not reconfigurable.

The MIT design uses light, rather than physical wires, to transmit information through the chip. The chip can therefore be reconfigured, with layers that can be swapped out or stacked on, for instance to add new sensors or updated processors.

"You can add as many computing layers and sensors as you want, such as for light, pressure, and even smell," says MIT postdoc Jihoon Kang. "We call this a LEGO-like reconfigurable AI chip because it has unlimited expandability depending on the combination of layers."

The researchers are eager to apply the design to edge computing devices -- self-sufficient sensors and other electronics that work independently from any central or distributed resources such as supercomputers or cloud-based computing.

"As we enter the era of the internet of things based on sensor networks, demand for multifunctioning edge-computing devices will expand dramatically," says Jeehwan Kim, associate professor of mechanical engineering at MIT. "Our proposed hardware architecture will provide high versatility of edge computing in the future."

The team's results are published in Nature Electronics. In addition to Kim and Kang, MIT authors include co-first authors Chanyeol Choi, Hyunseok Kim, and Min-Kyu Song, and contributing authors Hanwool Yeon, Celesta Chang, Jun Min Suh, Jiho Shin, Kuangye Lu, Bo-In Park, Yeongin Kim, Han Eol Lee, Doyoon Lee, Subeen Pang, Sang-Hoon Bae, Hun S. Kum, and Peng Lin, along with collaborators from Harvard University, Tsinghua University, Zhejiang University, and elsewhere.

Lighting the way

The team's design is currently configured to carry out basic image-recognition tasks. It does so via a layering of image sensors, LEDs, and processors made from artificial synapses -- arrays of memory resistors, or "memristors," that the team previously developed, which together function as a physical neural network, or "brain-on-a-chip." Each array can be trained to process and classify signals directly on a chip, without the need for external software or an Internet connection.

In their new chip design, the researchers paired image sensors with artificial synapse arrays, each of which they trained to recognize certain letters -- in this case, M, I, and T. While a conventional approach would be to relay a sensor's signals to a processor via physical wires, the team instead fabricated an optical system between each sensor and artificial synapse array to enable communication between the layers, without requiring a physical connection.

"Other chips are physically wired through metal, which makes them hard to rewire and redesign, so you'd need to make a new chip if you wanted to add any new function," says MIT postdoc Hyunseok Kim. "We replaced that physical wire connection with an optical communication system, which gives us the freedom to stack and add chips the way we want."

The team's optical communication system consists of paired photodetectors and LEDs, each patterned with tiny pixels. Photodetectors constitute an image sensor for receiving data, and LEDs to transmit data to the next layer. As a signal (for instance an image of a letter) reaches the image sensor, the image's light pattern encodes a certain configuration of LED pixels, which in turn stimulates another layer of photodetectors, along with an artificial synapse array, which classifies the signal based on the pattern and strength of the incoming LED light.

Stacking up

The team fabricated a single chip, with a computing core measuring about 4 square millimeters, or about the size of a piece of confetti. The chip is stacked with three image recognition "blocks," each comprising an image sensor, optical communication layer, and artificial synapse array for classifying one of three letters, M, I, or T. They then shone a pixellated image of random letters onto the chip and measured the electrical current that each neural network array produced in response. (The larger the current, the larger the chance that the image is indeed the letter that the particular array is trained to recognize.)

The team found that the chip correctly classified clear images of each letter, but it was less able to distinguish between blurry images, for instance between I and T. However, the researchers were able to quickly swap out the chip's processing layer for a better "denoising" processor, and found the chip then accurately identified the images.

"We showed stackability, replaceability, and the ability to insert a new function into the chip," notes MIT postdoc Min-Kyu Song.

The researchers plan to add more sensing and processing capabilities to the chip, and they envision the applications to be boundless.

"We can add layers to a cellphone's camera so it could recognize more complex images, or makes these into healthcare monitors that can be embedded in wearable electronic skin," offers Choi, who along with Kim previously developed a "smart" skin for monitoring vital signs.

Another idea, he adds, is for modular chips, built into electronics, that consumers can choose to build up with the latest sensor and processor "bricks."

"We can make a general chip platform, and each layer could be sold separately like a video game," Jeehwan Kim says. "We could make different types of neural networks, like for image or voice recognition, and let the customer choose what they want, and add to an existing chip like a LEGO."

This research was supported, in part, by the Ministry of Trade, Industry, and Energy (MOTIE) from South Korea; the Korea Institute of Science and Technology (KIST); and the Samsung Global Research Outreach Program.

        https://www.sciencedaily.com/releases/2022/06/220613112049.htm

  

Gaia Space Telescope Rocks Asteroid Science

The European Gaia space mission has produced an unprecedented amount of new, improved, and detailed data for almost two billion objects in the Milky Way galaxy and the surrounding cosmos. The Gaia Data Release 3 on Monday revolutionizes our knowledge of the Solar System and the Milky Way and its satellite galaxies.

From:  University of Helsinki

June 17, 2022 -- The Gaia space mission of the European Space Agency ESA is constructing an ultraprecise three-dimensional map of our Milky Way galaxy, observing almost two billion stars or roughly one percent of all the stars in our galaxy. Gaia was launched in December 2013 and has collected science data from July 2014. On Monday, June 13, ESA released Gaia data in Data Release 3 (DR3). Finnish researchers were strongly involved in the release.

Gaia data allows, for example, for the derivation of asteroid and exoplanet orbits and physical properties. The data helps unveil the origin and future evolution of the Solar System and the Milky Way and helps understand stellar and planetary-system evolution and our place in the cosmos.

Gaia revolves about its axis slowly in about six hours and is composed of two optical space telescopes. Three science instruments allow for accurate determination of stellar positions and velocities as well as the spectral properties. Gaia resides at about 1,5 million kilometers from the Earth in the anti-Sun direction, where it orbits the Sun together with the Earth in the proximity of the so-called Sun-Earth Lagrange L2-point.

Gaia DR3 on June 13, 2022 was significant across astronomy. Some 50 scientific articles are being published with DR3, of which nine articles have been devoted to underscoring the exceptionally significant potential of DR3 for future research.

The new DR3 data comprises, for example, the chemical compositions, temperatures, colors, masses, brightnesses, ages, and radial velocities of stars. DR3 includes the largest ever binary star catalog for the Milky Way, more than 150 000 Solar System objects, largely asteroids but also planetary satellites, as well as millions of galaxies and quasars beyond the Milky Way.

"There are so many revolutionary advances that it is difficult to pinpoint a single most significant advance. Based on Gaia DR3, Finnish researchers will change the conception of asteroids in our Solar System, exoplanets and stars in our Milky Way galaxy, as well as galaxies themselves, including the Milky Way and its surrounding satellite galaxies. Returning to our home planet, Gaia will produce an ultraprecise reference frame for navigation and positioning," says Academy Professor Karri Muinonen from the University of Helsinki.

Gaia and asteroids

The ten-fold increase in the number of asteroids reported in Gaia DR3 as compared to DR2 means that there is a significant increase in the number of close encounters between Gaia-detected asteroids. These close encounters can be utilized for asteroid mass estimation and we expect a significant increase in the number of asteroid masses to be derived by using Gaia DR3 astrometry, in particular, when combined with astrometry obtained by other telescopes.

In the conventional computation of an asteroid's orbit, the asteroid is assumed to be a point-like object and its size, shape, rotation and surface light scattering properties are not taken into account. The Gaia DR3 astrometry is, however, so accurate that the angular offset between the asteroid's center of mass and the center of the area illuminated by the Sun and visible to Gaia must be accounted for. Based on Gaia DR3, the offset has been certified for asteroid (21) Lutetia (Figure 2). The ESA Rosetta space mission imaged Lutetia during the flyby on July 10, 2010. With the help of the Rosetta Lutetia imagery and ground-based astronomical observations, a rotation period, rotational pole orientation, and detailed shape model were derived. When the physical modeling is incorporated into orbit computation, the systematic errors are removed and, contrary to conventional computation, all observations can be incorporated into the orbit solution. Consequently, the Gaia astrometry provides information about the physical properties of asteroids. These properties need to be taken into account using physical models or empirical error models for the astrometry.

The Gaia DR3 includes, for the first time, spectral observations. The spectrum measures the color of the target, meaning the brightness at different wavelengths. One especially interesting feature is that the new release contains about 60 000 spectra of asteroids in our Solar System (Figure 3). The asteroid spectrum contains information on their composition and, thus, about their origin and the evolution of the whole Solar System. Before the Gaia DR3, there has been only few thousand asteroid spectra available, so Gaia will multiply the amount of data by more than an order of magnitude.

Gaia and exoplanets

Gaia is expected to produce detections of up to 20 000 giant exoplanets by measuring their gravitational effect on the movement of their host stars. This will enable finding virtually all Jupiter-like exoplanets in the Solar neighbourhood over the coming years and determining how common are Solar System -like architectures. The first such astrometric Gaia detection was a giant exoplanet around epsilon Indi A, that corresponds to the nearest Jupiter-like exoplanet only 12 light years away. The first such detections are possible because acceleration observed in radial velocity surveys can be combined with movement data from Gaia to determine the orbits and planetary masses.

Gaia and galaxies

The microarcsecond resolution of Gaia DR3 provides precise measurements of the motions of stars, not only within our own Milky Way galaxy, but also for the many satellite galaxies that surround it. From the motion of stars within the Milky Way itself, we can accurately measure its mass, and together with the proper motion of satellites, we can now accurately determine their orbits. This lets us look both into the past and into the future of the Milky Way galaxy system. For example, we can find out which of the galaxies that surround the Milky Way are true satellites, and which are just passing by. We can also investigate if the evolution of the Milky Way conforms to cosmological models, and in particular, whether the satellite orbits fit the standard dark matter model.

Gaia and reference frames

The International Celestial Reference Frame, ICRF3, is based on the position of a few thousand quasars determined by Very Long Baseline Interferometry (VLBI) at radio wavelengths. ICRF3 is used to obtain the coordinates of celestial objects and to determine the orbits of satellites. Quasars of ICRF3 are also fixed points on the sky that can be used to determine the precise orientation of the Earth in space at any time. Without this information, for example, satellite positioning would not work.

Gaia's data contain about 1,6 million quasars, which can be used to create a more accurate Celestial Reference Frame in visible light replacing the current one. In the future, this will have an impact on the accuracy of both satellite positioning and measurements of Earth-exploring satellites.

             https://www.sciencedaily.com/releases/2022/06/220617165652.htm