Covid 19 #Omicron: A different vaccine debate – do we need new ones?


Covid 19 Omicron: A different vaccine debate – do we need new ones? – NZ Herald https://www.nzherald.co.nz/world/covid-19-omicron-a-different-vaccine-debate-do-we-need-new-ones/HIFNNOBY5R36YYSAQZFXGAZ6EQ/?utm_medium=Social&utm_campaign=nzh_fb&utm_source=Facebook#Echobox=1643960609

Synthetic Enamel Could Make Teeth Stronger and Smarter


Scientists say that the new material is even more durable than real dental enamel.

Synthetic Enamel Could Make Teeth Stronger and Smarter

Enamel, the tough outer covering of a tooth, is the hardest substance in the human body. It is also notoriously difficult to replicate artificially. Throughout history, dentists have repaired damaged and decayed teeth with everything from beeswax to mercury composites to modern ceramic- or resin-based materials. But they might soon have a synthetic option that is much closer to the real thing.

A team of chemical and structural engineers has invented a new material that mimics enamel’s fundamental properties: It is strong and—very importantly—also slightly elastic. This versatile substance could potentially be used to reinforce fractured bones, craft better pacemakers and, beyond serving as a replacement for dental enamel, take fillings to the next level by creating “smart teeth.” A study on this work was published this week in Science.

Natural enamel has the difficult job of protecting teeth, which are constantly being strained by oral bacteria, acidic foods, chewing and even speaking. Over time, the wear and tear adds up. “You carry the same set of teeth for 60 years, or maybe even more,” says Nicholas Kotov, a chemical engineer at the University of Michigan and co-author of the study. “So it’s an enormous chemical and mechanical stress.” And unlike bone, enamel cannot be regenerated by the human body.ADVERTISEMENT

Enamel’s crucial combination of toughness and flexibility is tricky to reproduce. “Soft materials are normally easier to manufacture,” Kotov explains. The secret to enamel’s uniquely balanced properties lies in its structure. It is composed of millions of closely packed rods of calcium phosphate, which are only visible through an electron microscope.

“Imagine a pack of pencils when you hold them together,” says Janet Moradian-Oldak, a biochemist at the University of Southern California who was not involved in the research. This arrangement allows the rods to compress slightly under pressure, rather than shattering, while also keeping the overall structure extremely strong. The artificial enamel mimics this configuration, bundling calcium phosphate rods together with flexible polymer chains.

The researchers fashioned their new material into a tooth shape, then tested whether it would crack under intense heat and pressure. “It’s actually very elegant the way that these authors use engineering and harsh laboratory conditions to mimic what cells and nature do,” Moradian-Oldak says. Ultimately, the team found the artificial enamel could withstand more force than the natural kind.

The material may not be a perfect tooth analogue, however. “I don’t see much answered in the paper to mimic the 3-D structure of human enamel,” says Thomas Diekwisch, a craniofacial researcher at Texas A&M University, who was not involved in the new study. But, he notes, that doesn’t mean it won’t be useful. “At least for functional biomimicry, you don’t have to exactly reproduce what nature does.”

Outside of its obvious potential in dentistry, Kotov envisions the material being used to build better and longer-lasting pacemakers for people with heart conditions, or to reinforce crumbling bone in those with severe osteoporosis. He says the material could even be modified to create a “smart tooth,” a prosthetic chomper containing sensors that could sync to a smartphone. Such a device could monitor a person’s breath and mouth bacteria for anomalies, which would allow doctors to catch conditions such as diabetes before a patient is aware of them.ADVERTISEMENT

But before it can debut in the dentist’s office, the material has to be affordable, mass producible, and clinically tested for safety and efficacy. “I’m impressed with the approach that they use,” Moradian-Oldak says. “The question is, how practical is it?”

Kotov says his team used strictly biocompatible compounds in the fabrication process, which means the artificial enamel should theoretically be safe for humans. He hopes to see it used in the next few years, but he isn’t making any projections. Paraphrasing a quote that’s been attributed to figures including Niels Bohr and Yogi Berra, Kotov says, “It’s very difficult to predict anything—especially the future.”

Can Artificial Intelligence Boost Mental Healthcare Accessibility? 


Boston-based researchers are evaluating whether artificial intelligence could advance mental health care accessibility by helping providers identify patients who may be struggling.

artificial intelligence

The investigation was led by MIT Professor of Media Arts and Sciences Rosalind Picard and Associate Director of the Depression Clinical and Research Program at Massachusetts General Hospital Paola Pedrelli.

“It’s been very, very clear that there are a number of barriers for patients with mental health disorders to accessing and receiving adequate care,” Pedrelli, who has been a clinician and researcher in psychology for 15 years, said in a press release

Those barriers can include figuring out when and where to seek help, finding a nearby provider who is taking patients, and obtaining financial resources and transportation to appointments.

To address health barriers Picard and Pedrelli have been working collaboratively for over five years to create machine-learning algorithms that can assist in diagnosing and monitoring symptom changes in individuals with major depressive disorders.

To conduct the study, the research team recruited MGH participants with major depressive disorders who have recently changed their treatment. Thus far, 43 participants have enrolled in the study.

Using smartphones and other wearable devices, the research team can gather detailed data on participants’ temperature, heart rate, activity levels, socialization, personal assessment of depression, sleep patterns, and more.

“We put all of that data we collected from the wearable and smartphone into our machine-learning algorithm, and we try to see how well the machine learning predicts the labels given by the doctors,” Picard said. “Right now, we are quite good at predicting those labels.”

According to researchers, their goal is to develop machine-learning algorithms that can intake large amounts of data and identify individuals that may be struggling with their mental health. The hope is that the algorithms will provide physicians and patients with useful information regarding an individual’s disease trajectory and effective treatment methods.

But developing effective machine-learning algorithms and designing tools that will also empower users poses a unique challenge.

“The question we’re really focusing on now is, once you have the machine-learning algorithms, how is that going to help people?” Picard explained.

The research team is reviewing how the machine-learning algorithms could present their findings to users through new devices, smartphone apps, and so on. According to researchers, allowing participants to view their data could encourage them to engage in certain behaviors that improve their well-being.

However, if implemented incorrectly, the technology could have a negative impact. If the app indicated that someone is heading toward a deep depression, that could be discouraging information that leads to further negative emotions. Pedrelli and Picard are including real users in the design process to develop a tool that is helpful, not harmful.

“What could be effective is a tool that could tell an individual ‘The reason you’re feeling down might be the data related to your sleep has changed, and the data relate[d]to your social activity, and you haven’t had any time with your friends, your physical activity has been cut down. The recommendation is that you find a way to increase those things,’” Picard said.

Additionally, the team is prioritizing data privacy and informed consent.

AI and machine-learning algorithms have the unique ability to make connections and identify patterns in large datasets.

“I think there’s a real compelling case to be made for technology helping people be smarter about people,” Picard said.

The cell that might trigger Alzheimer’s disease


It all started with genetic data. A gene here, a gene there. Eventually the story became clearer: If scientists are to one day find a cure for Alzheimer’s disease, they should look to the immune system.

Over the past couple decades, researchers have identified numerous genes involved in various immune system functions that may also contribute to Alzheimer’s disease. Some of the prime suspects are genes that control microglia, now the focus of intense research in developing new Alzheimer’s drugs.

Microglia are amoeba-like cells that scour the brain for injuries and invaders. They help clear dead or impaired brain cells and literally gobble up invading microbes. Without them, we’d be in trouble.

In a normal brain, a protein called beta-amyloid is cleared away through our lymphatic system by microglia as molecular junk. But sometimes it builds up. Certain gene mutations are one culprit in this toxic accumulation. Traumatic brain injury is another, and, perhaps, impaired microglial function.

One thing everyone agrees on is that in people with Alzheimer’s disease, too much amyloid accumulates between their brain cells and in the vessels that supply the brain with blood. Once amyloid begins to clog networks of neurons, it triggers the accumulation of another protein, called tau, inside of these brain cells. The presence of tau sends microglia and other immune mechanisms into overdrive, resulting in the inflammatory immune response that many experts believe ultimately saps brain vitality in Alzheimer’s disease.

The gene scene

To date, nearly a dozen genes involved in immune and microglial function have been tied to Alzheimer’s disease. The first was CD33, identified in 2008.

“When we got the results, I literally ran to my colleague’s office next door and said, you gotta see this!” said Harvard neuroscientist Rudolph Tanzi. Dr. Tanzi, who goes by Rudy, led the CD33 research. The discovery was quickly named a top medical breakthrough of 2008 by Time magazine.

“We were laughing because what they didn’t know is we had no idea what this gene did,” he joked. But over time, research by Dr. Tanzi and his group revealed that CD33 is a kind of microglial on-off switch, activating the cells as part of an inflammatory pathway.

“We kind of got it all going when it came to the genetics,” he said.

Microglia normally recognize molecular patterns associated with microbes and cellular damage as unwanted. This is how they know to take action – to devour unfamiliar pathogens and dead tissue. Dr. Tanzi believes microglia sense any sign of brain damage as an infection, which causes them to become hyperactive.

Much of our modern human immune system, he explained, evolved many hundreds of thousands of years ago. Our lifespans at the time were far shorter than they are today, and the majority of people didn’t live long enough to develop dementia or the withered brain cells that come with it. So our immune system, he said, assumes any faulty brain tissue is due to a microbe, not dementia. Microglia react aggressively, clearing the area to prevent the spread of infection.

“They say, ‘We better wipe out this part of the brain that’s infected, even if it’s not.’ They don’t know,” quipped Dr. Tanzi. “That’s what causes neuroinflammation. And CD33 turns this response on. The microglia become killers, not just janitors.”

A brake on overactive microglia

If CD33 is the yin, a gene called TREM2 is the yang. Discovered a few years after CD33, TREM2 reins in microglial activation, returning them to their role as cellular housekeepers.

Neurologist David Holtzman, MD, of Washington University in St. Louis, who studies TREM2, agrees that wherever you find amyloid, tau, or dead brain cells, there are microglia raring to go and ready to scavenge.

“I think at first a lot of people thought these cells were reacting to Alzheimer’s pathology, and not necessarily a cause of the disease,” he said.

It was the discovery of TREM2 on the heels of CD33 that really shifted the thinking, in part because it produces a protein that in the brain is only found in microglia. “Many of us [in the field] immediately said, ‘Look, there’s now a risk factor that is only expressed in microglia. It must be that innate immune cells are important in some way in the pathogenesis of the disease,’ “ he added.

Dr. Holtzman sees microglial activation in impending dementia as a double-edged sword. In the beginning, microglia clear unwanted amyloid to maintain brain health. But once accumulated amyloid and tau have done enough damage, the neuroinflammation that comes with microglial activation does more harm than good. Neurons die en masse and dementia sets in.

But not all researchers are convinced.

Serge Revist, PhD, is a professor in the department of molecular medicine at the Laval University Medical School in Quebec. Based on his lab’s research, he believes that while impaired immune activity is involved in Alzheimer’s disease, it is not the root cause. “I don’t think it is the immune cells that do the damage, I still think it is the beta-amyloid itself,” he said, “In my lab, in mouse studies, we’ve never found that immune cells were directly responsible for killing neurons.”

He does believe that in some patients with Alzheimer’s disease, microglia may not be able to handle the excess amyloid that accumulates in the disease and that developing treatments that improve the ability of microglia and the immune system to clear the protein could be effective.

Microglial medicines

The biological cascade leading to Alzheimer’s disease is a tangled one. Gene variants influencing the accumulation and clearance of amyloid are likely a major contributor. But immune activity caused by early life infection might also be involved, at least in some cases. This infectious theory of Alzheimer’s disease was first proposed by Dr. Tanzi’s now-deceased colleague Robert Moir, PhD. Dr. Tanzi’s group even has evidence that amyloid itself is antimicrobial and evolved to protect us from pathogens, only to become a problem when overactive and aggregated.

And the same goes for microglia, cells whose over-ambition might cause much of the brain degeneration seen in Alzheimer’s disease.

In theory, if a treatment could decrease CD33 activity or increase that of TREM2, doctors might one day may be able to slow or even stop the progression of dementia. Instead of going after amyloid itself – the mechanism behind so many failed investigational Alzheimer’s drugs – a therapy that quells the immune response to amyloid might be the answer in treating dementia.

“There are a number of scientists and companies trying to figure out how to influence genes like TREM2 and CD33 and to both decrease amyloid and act on the downstream consequences of the protein,” said Dr. Holtzman. “All of this is to say that somewhere in the biology that causes Alzheimer’s disease, the immune system is involved.”

It seems that in many cases, the most common form of a dementia might be due to a well-intentioned immune cell going rogue. “I think you’d hear this from basically any researcher worth their salt,” said Dr. Tanzi. “I feel strongly that without microglial activation, you will not get Alzheimer’s disease.”

Source: Medscape.com.

Magnetic seeds used to heat and kill cancer.


Magnetic seeds used to heat and kill cancer — ScienceDaily https://www.sciencedaily.com/releases/2022/02/220201201146.htm

International Space Station to crash down to Earth in 2031.


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