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Scientists may have finally found how Alzheimer's spreads through the brain
A common brain protein may be giving Alzheimer’s disease an unexpected way to spread, carrying toxic Tau proteins from damaged neurons into healthy ones. By blocking these harmful protein packages before they reach new cells, researchers believe it may one day be possible to slow the disease's relentless progression.
How a Brain Messenger Protein Drives Progression of Alzheimer’s Disease
In mice, a brain protein called Arc helps spread toxic molecules from sick brain cells to healthy ones. If therapies could be designed to target the spread, they could be a powerful tool to stop disease progression.
6 Ways Your Body Can Change After Starting a High-Protein Diet
Adding more protein to your diet can cause several changes in your body, such as better muscle repair and potential digestive issues.
Common pesticide linked to more than double the risk of Parkinson’s disease
Scientists at UCLA have linked long-term exposure to the pesticide chlorpyrifos with a sharply increased risk of Parkinson’s disease. People exposed to the chemical near their homes were more than twice as likely to develop the condition. Laboratory studies showed that chlorpyrifos damages dopamine neurons and interferes with the brain’s ability to remove toxic protein buildup.
Making Our Own Luck
We are cross-posting a piece that former NIH official Kris Willis wrote for Macroscience. Kris is now the President and Founder of the Woodley Park Institute, for which I’m a board member. Picking winners or hedging bets? Federal science agencies have long wrestled with the question of how to ensure their billions of dollars of grants and contracts result in maximum benefits for Americans. On the surface, it might seem that a goal-oriented, interventionist style of management would be the best policy: prioritize our most pressing problems and distribute funding accordingly.This top-down strategy creates a unique hazard, though: bad choices can send resources in the wrong direction, resulting in slow progress that impedes the delivery of tangible benefits to citizens. Moreover, if decision makers pursue an applied advance when the underlying scientific principles remain poorly understood, they risk costly failures and a loss of support for the research enterprise at large. Examples include Nixon’s 1971 War on Cancer, undertaken on the premise that a cure could be achieved in less than a decade, the drive to build an operational commercial fusion plant by the mid-1990s, and the National Plan to Address Alzheimer’s Disease, which failed to produce the effective treatments and prevention strategies promised by 2025. The contrasting laissez-faire approach is to hedge your bets. If the path to an advance is impossible to predict, then the wisest choice might be to distribute funding to as widely as possible. The main risk of this strategy is that spreading funding thinly may limit the resources available to the most promising research, resulting in the same negative outcomes as the interventionist approach: limited support for the most promising topics, slow progress, and delayed returns. In reality, at science agencies like the National Science Foundation and National Institutes of Health, program managers navigate between these two extremes, setting some funds aside to target high-priority areas and using the rest to cover the widest possible range of meritorious proposals. This middle path seems like the most rational way to proceed, but it still requires making choices. How much should be set aside for high priority topics? What should those topics be? How should we define merit? Expert opinion can provide a helpful guide, but leading experts can have remarkably different opinions about what matters and what should be prioritized. Moreover, experts and administrators alike can be risk averse, giving an edge to high-profile, well-established concepts. What’s really needed is a data-driven framework to help guide decision-making, one that doesn’t simply repackage prestige or incumbency. Recognizing breakthroughs years in advance Many breakthroughs fail to attract funding or recognition at the earliest stages of development. Katalin Karikó, for example, spent years struggling to win grants for work on mRNA that would eventually win her and Drew Weissman a Nobel Prize. Similar stories can be told about Jim Allison’s groundbreaking studies leading to the development of cancer immunotherapy, Stan Pruisner’s demonstration that prions can self-replicate without DNA, or Robin Warren and Barry Marshall’s proof that Helicobacter pylori, not stress, causes ulcers. Yet at some point, the scientific community recognizes and responds to transformative breakthroughs like these. How does that change happen? And what if science funders could identify the areas that are on the cusp of a breakthrough? Those questions led my collaborators and me to study how scientists responded to past breakthroughs. Based on patterns in that data, we developed a means of predicting future breakthroughs, using biomedicine as a proof of concept. It’s worth taking a moment to describe how our approach works. Briefly, our prediction process begins by grouping the 18 million or so peer-reviewed papers in PubMed, the authoritative database of biomedical research, into roughly 50,000 unique topics. A small subset of these topics are so widely acclaimed as breakthroughs that they have been recognized with a major prize like a Nobel or a Lasker Award. We theorized that studying the development of these outliers over time, especially before they gained acclaim, was the key to identifying future instances of them. After defining topics, we chose 21 representative breakthroughs and asked what they looked like before they won prestigious prizes. To answer that question, we re-ran our topic-mapping algorithm repeatedly, winding back the clock one year each time, stringing together the years to follow the progress of each field as it grew and advanced. We found that in each case, the years leading up to a discovery followed a pattern: a burst of papers on a new, rapidly evolving topic, many of which quickly became influential. These characteristics—the percent of papers that are new, the percentage of papers that are brought in from other topics, and the influence of each individual paper—can all be measured separately for any given topic. Together, they act as a predictive signal that is detectable an average of five years before a transformative discovery is made, and up to thirty years before the discovery receives a major prize. Scanning the current research landscape for topics that display this signal allows us to predict what work will likely produce a future breakthrough. Each year we analyzed includes four or five signals, a number that appears to have remained constant across a twenty year time frame. In their classic work on the sociology of science, Bruno Latour and Steve Woolgar established that the desire to participate in a major discovery is an important motivator for scientists as they consider whether they should take up (or abandon) a research problem. Although further work is needed, the simplest explanation for our results is that this behavior is widespread enough to detect at scale. A foundational advance, or something like it, draws the attention of scientists and causes them to change the direction of their research. They vote with their feet, staking their own reputation and careers by publishing on and citing the new idea. That upswell of interest is the foundation of our breakthrough signal. What kind of research does our model identify as a breakthrough? After building a model based on the patterns in our 21 preselected breakthroughs, we tested it by identifying all early signals of discovery from 1994 through 1997. Of the 18 signals we found in that time period, 17 can be traced forward in time to a breakthrough. Examples include super-resolution fluorescence microscopy (see the image above), the directed evolution of proteins and enzymes (Chemistry Nobel, 2018), and sequencing the human genome (National Medal of Science, 2008). The discovery of the role of leptin signaling in obesity is a particularly interesting case study. Around 1950, scientists noticed the existence of a type of lab mouse that suffered from a unique inherited form of obesity. When given the freedom to choose their own diet, these mice ate more than normal and preferred food that was high in fat. Researchers had few clues as to why the animals overate; early experiments pointed to the existence of a soluble ob factor found circulating in the bloodstream that regulated appetite, but its identity was unknown. In 1994, Jeffrey Friedman and colleagues identified and sequenced the ob gene, noting that the protein it encoded appeared to fit the profile of a circulating factor. A year later, a trio of high-profile publications demonstrated that ob was a hormone that regulated body weight and fat deposition by regulating appetite. One of these was co-authored by Friedman, who christened it leptin from the ancient Greek word for thin. Using our model, the data from 1996 make it clear this advance would become a breakthrough. Scientists had flocked to study the biology of the new hormone, generating the flurry of new papers and citations required to produce a signal. One of these demonstrated that serum leptin concentrations reflected the amount of adipose tissue in the human body, providing clinical validation of the earlier mouse studies. Before the identification of leptin, scientists were unable to point to a specific molecule that controlled appetite and adiposity, so that it was impossible to rule out non-physiological causes of obesity; its characterization fundamentally changed our concept of weight gain. In 2010, Friedman and fellow pioneer Douglas Coleman were awarded a Lasker for the discovery. Our work also identifies breakthroughs in clinical practice and behavioral and social sciences, even though these areas are less likely to draw the attention of major prize committees. One example that falls into this category is the introduction of endovascular aneurysm repair, a minimally invasive surgical procedure for the treatment of abdominal aortic aneurysm, a leading cause of death among Americans over the age of 65. Relative to the previous standard of care, it reduces in-hospital mortality by almost four-fold. In 2017, Timothy Chuter received the American College of Surgeons’ prestigious Jacobsen Innovation award for his multiple refinements to the technique. Another under-recognized breakthrough identified by our model is the development of standardized survey instruments to assess the quality of life for HIV+ patients. The antiretroviral cocktails introduced in the mid-1990s reduced AIDS mortality, but treatment came with serious side effects. The new evaluations showed that patients whose disease progressed had worse physical functioning than Americans with other chronic diseases, while those who were asymptomatic maintained a health-related quality of life on par with the overall US population. This evidence made it possible for patients and activists to argue that even in the absence of a total cure, and in spite of the side effects, alleviation of symptoms was a worthwhile priority for clinicians. My colleagues and I have failed to identify any significant recognition for the physicians and health policy experts who pioneered this advance, although in 2016, researchers called for the World Health Organization to set targets for good health-related quality of life as part of its framework to end the AIDS pandemic. From forecasting to funding How should science funders use our predictions? Any serious discussion of what we should do with this new capability needs to begin with an understanding of its limitations. We can’t (and shouldn’t) invest all of our resources in the small number of topics predicted to produce breakthroughs. Innovative new fields are born from existing ones; they rarely arise de novo. If funders don’t maintain a diverse portfolio, the breakthroughs of tomorrow will have no antecedents. Think of this as eating the seed corn, or killing the goose that lays the golden egg. There are also multiple goals of funding beyond basic scientific discovery, including translating discoveries into clinical practice, developing new technologies, supporting economic development, and training new scientists. The investments needed to accomplish these goals are likely different from those required to support emerging breakthroughs. Finally, we must be aware that we may not capture every instance of a breakthrough. The concept is fuzzy, and not every significant discovery is recognized with a major award. Further, breakthroughs are rare, meaning that our dataset is, by necessity, small. This makes formal estimates of accuracy challenging. Although our overall success rate appears to be high, any one signal may turn out to be a false positive. We found one apparent example: the development of the third generation COX-2 inhibitors, Vioxx and Celebrex, which were much celebrated in the early 2000s as effective but non-addictive pain relievers, meets all the algorithmic criteria of a breakthrough. Five years after it received FDA approval, researchers demonstrated that Vioxx was associated with serious cardiovascular complications, and the manufacturer voluntarily pulled the drug from the market. Celebrex remains available, although like other NSAIDs, it carries an FDA warning for increased cardiovascular risk. Decision makers who were overly focused on the breakthrough potential of this research might have wasted substantial resources nurturing an area that ultimately proved to be a failure—but so would those who relied on expert opinion at the time. That said, the potential benefits of funding the next mRNA vaccine or cancer immunotherapy years earlier than we might have are large. When we can’t assume the outcome of an action, it’s worth conducting an experiment. Can targeted support for areas that are poised to produce a breakthrough increase the return on scientific investment without cannibalizing future advances? With the necessary administrative infrastructure in place, conducting this experiment would be straightforward. First, identify all the breakthrough signals between 2018 and 2023, select half at random, and commit to a decade of investment. For biomedicine, a six year window should yield about 30 topics with the potential to produce a breakthrough. Providing strong support to half of these might be accomplished for $300 million a year. That’s roughly half of the recent annual budget of the NIH Common Fund or around 20% of the fiscal year 2025 budget for ARPA-H. After five years, then again at ten, compare to see which group — the one that was actively managed, or the control — produced more breakthroughs, and on what timescale. Although we used biomedicine as an example, the same experiment could just as well be run for physics, materials science, or any other discipline. Any attempt to undertake such an experiment should keep three points top of mind. First, we can predict the topic of future breakthroughs, but the people and vision for how to move the work forward are still important. In practice, this means success requires active program managers with the expertise to develop the science and the authority to do so, including by recruiting investigators. Second, we would be wise to learn from the failures of past attempts to fund transformative research. High among these are funding modestly repackaged work, confusing the genuinely novel with the merely unfamiliar, and relying too much on incumbent investigators. All of these risks can be mitigated by thoroughly and intelligently integrating high quality data into portfolio management. Finally, we need to have patience. Even with strong funding support, producing a breakthrough takes time. If supporting breakthroughs is the best way to nurture the birth of new fields, we also need to accurately describe and properly manage the other two stages, so that we invest wisely throughout the productive lifetime of ideas and divest once they reach the point of diminishing returns. We would benefit from more study of all of these phases, especially the transition from one to another. More research could answer questions like: When does a breakthrough become an established field? How do the availability of funding, the size and characteristics of the available workforce, and the accumulation of evidence that disagrees with prevailing models affect a field’s decline? Exactly how do old ideas give birth to new ones, and can we speed up the process? The more we understand about the dynamics of scientific progress, the better we can maximize the odds that our curiosity leads to results. I’d call that finding a way to make our own luck.
Scientists measure hidden quantum forces that could power a new generation of pharmaceutical drugs
It's one thing to design a pharmaceutical drug. It's another to know if and why it actually works; not on paper or in a computer model, but inside the chaotic world of living systems, where proteins twist ...
Is it Healthy to Eat Eggs Every Day? Dietitians Weigh In
Eggs are packed with protein, vitamins and omega-3s. But can you eat them every day?
Scientists measure hidden quantum forces that could power a new generation of pharmaceutical drugs
Researchers invent a laser technique that reveals the hidden forces shaping proteins, advancing a future of precision medicine engineered with quantum precision.
How should European scientists respond to the US AI kill switch?
Earlier in June, Europe’s worst fears of technological dependence were confirmed when the White House ordered the AI firm Anthropic to stop non-US citizens using its leading models. This kill-switch moment crystalised anxieties in Brussels that the continent, lagging the US on the creation of leading-edge AI models, is now a technological of vassal of Washington. The shock has specific implications for European scientists and universities. Some governments are now worried that with AI being integrated into labs, Donald Trump now has his finger hovering over an off switch for European science. “Having restrictions on this tool, it can have an impact on our own research,” said France’s research minister, Philippe Baptiste, at the VivaTech conference in Paris on June 18.Baptiste, himself a former academic, said that colleagues in mathematics had recently warned him they were now cut off from leading-edge US models, risking their work. “This model is not available anymore now because of the US restriction, and for the first time this had an impact on mathematics,” a field where large language models (LLMs) are making a significant contribution, said Baptiste. So, should European scientists avoid relying on US models in the future? Or would this be a self-harming overreaction? And how is AI being used in science, anyway? What happened?On June 12, it emerged that Washington, citing cybersecurity concerns, had ordered Anthropic to stop non-US citizens using two models: Claude Mythos 5, and Claude Fable 5, a version of Mythos but with guardrails to prevent abuse. Anthropic said Washington’s concerns were overblown. But forced to follow the order, yet with no way to check who was using the models, the company suddenly shut down access for everyone, US citizens included. There’s still no agreement on how to restore broad access. But last week, Bloomberg reported that select US companies, and the US government, still had access to Mythos despite the ban, but the EU’s cybersecurity agency Enisa had been shut out. Class division of researchersIn the longer term, access outside the US should be restored, said Marcel Salathé, co-director of the AI centre at the Federal Polytechnic School of Lausanne (EPFL), because a permanent restriction would be financially ruinous to US AI firms. “Even Trump will eventually budge to economic pressure,” he said.However, US AI firms might end up operating rather like banks, doing due diligence on users of their leading-edge AI models, he went on.European scientists are unlikely to fall foul of such checks, he said. But having a Chinese postgraduate in their lab, or doing a type of research the US disapproved of, could potentially result in access being denied. “It will create a sort of class division of researchers,” he said. More than frontier modelsHowever, successfully deploying AI in science is about far more than just having access to leading LLMs such as Mythos.Instead, many science-specific tools, most famously Alphafold, which predicts protein folding structures, require “far less” computing power to train than frontier models, well within the capabilities of European supercomputers, according to a recent analysis by the Arq Foundation, a Brussel-based AI think tank. Instead, tools such as Alphafold are possible because certain fields, like protein folding, weather prediction or astronomy, have large, clean, standardised datasets that can be used to train predictive models. Rather than compute, “data is the central constraint for AI for science,” the report says. For example, a less powerful physics model trained on CERN’s data “will be more valuable than the best model without certain data,” said Bengüsu Özcan, author of the report. European advantage?Europe could therefore steal a march by using its scientific data and infrastructure to create models US digital giants cannot. “They might actually match or go even beyond what these big [US] companies are doing,” said Özcan.Indeed, some European start-ups hope to create automated testing labs to create the kind of standardised data that could speed up the discovery of new materials. Materials scientists say there’s currently too little data to train models. AI scientistsHowever, even if the bottleneck for AI in science is often data, rather than compute, being at the mercy of the US for LLM access could still become a problem for European scientists. A new class of “AI scientists” based on leading LLMs is also emerging, Özcan’s report says.Unlike domain-specific tools like Alphafold, these try to automate day-to-day scientific work, by providing an overarching tool that coordinates specific models to synthesise existing literature, generate hypotheses or run analysis of data. The problem for Europe, however, is that these tools are sometimes based on US leading models. Google Deepmind’s AI Co-Scientist, for example, is built on Google’s Gemini LLM. Systematic failureThese scientific automation tools are still in their early stages, and still exhibit “systematic failures on scientific tasks,” Özcan’s report says. One of the problems is that the messy, day-to-day process of scientific discovery is largely not documented, meaning LLMs don’t have a good source of data to learn how scientists actually work. Meanwhile, some tasks, such as literature synthesis, don’t typically require access to leading edge models.However, the performance of AI scientific assistants could improve as companies such as Google pour resources into developing them. Rely on US“Unfortunately, for scientific assistants, there is not much we can do right now except rely on US frontier AI,” said Antoine Bosselut, a natural language processing expert based at EPFL. Chinese-built open models, which can run on local computers, lessening the risk of a shutdown, are touted as one alternative to US dependence. There’s also Mistral, once seen as Europe’s main AI hope, but the Paris-based company has seen its recent models fall behind in performance. But the Chinese alternatives are generally not as capable as US frontier AI models, said Bosselut, unless paired with fiddly, custom tools that allows them to act as independent agents. “Most scientists do not have the time,” he said. Don’t jump ship yetAlthough the kill switch moment is seen a warning shot for European scientists, it doesn’t mean labs should abandon US AI tools immediately. “I do not think the right response is simply to abandon US-based models and systems under the banner of sovereignty or independence,” said Mattias Björnmalm, secretary general of the Cesaer university association. “That would be an overreaction.”Related articlesEuropean sovereignty in AI requires ‘ugly trade-offs,’ say experts Robotic lab start-up makes case for €500M EU-funded materials testing facilityAI in science: is it useful? Instead, European researchers need to ask themselves whether they’re becoming dependent on technology that could be turned off in Washington, said Özcan. “They might not see this today, but they should really start asking this question,” she said. European researchers need a plan B, said Salathé. “I would recommend to every researcher, very proactively explore alternatives.”Own toolsIn addition, Björnmalm and others want European research institutions to develop their own scientific AI tools.Instead of signing AI deals with US digital giants, European universities should be using this money to create their own models, which may end up being superior for research, said Sabine Leonelli, an expert on the use of AI in science at the Technical University of Munich. “Universities in Europe seem to be happy to sign commercial contracts with US companies on the assumption [their AI tools] are better,” she said. But US frontier LLMs are typically opaque, and have been developed without independent scientific input, she said. “This is not good enough for science.”Last year, Swiss researchers released Apertus, an LLM designed to be completely transparent, from its development methods to its training data. The idea is that this makes scientific tools built on top of the model far more reproducible than with closed, commercial alternatives.“Europe needs more of this: serious capacity-building that gives researchers, universities and companies credible options,” said Björnmalm.
Scientists design 'tunable' biomolecules to probe how sugars behave
Sugars are not just a source of energy—they also play a crucial role in how cells communicate, how proteins interact and how materials behave in medicine and industry. But studying these processes is ...
5 foods that contain both protein and fiber
With these sweet-spot foods you get both the protein perks, like muscle maintenance, and the fiber perks, like improved gut health and reduced risks of chronic conditions, all in one bite.
Hershey names Pepsico vet as president of US business
Heather Hoytink will oversee the Reese’s maker’s confection, salty and protein portfolio when she takes over July 8.
Nvidia Unveils Science Reasoning AI Suite with BioNeMo Agent Toolkit
The toolkit has applications across generative chemistry, genomic analysis, protein design, and biomarker discovery.
Mediterranean-inspired diet with added methionine extends healthy lifespan in mice
A plant- and fish-based, low-protein diet paired with small amounts of an amino acid commonly found in eggs, meat and dairy increased healthy lifespan and decreased frailty and fat mass in mice, according ...
Amino acid-supplemented ‘longevity diet’ linked to longer healthy lifespan
USC study finds low-protein diet paired with small amounts of amino acid methionine increased healthy lifespan, decreased frailty in mice.
NAIRR Science Program Reshapes Scientific Research, Powered by NVIDIA AI Infrastructure
The U.S. National Science Foundation’s NAIRR pilot program has driven innovative research across the U.S. for over 700 projects — spanning protein prediction and infectious disease outbreak management.
Scientists say most people need more protein than current guidelines suggest
A new review suggests that doing more exercise and eating more protein than current minimum recommendations may help people stay stronger, sharper, and more independent as they age. The goal isn't building a beach body—it's extending healthspan and maintaining the ability to fully enjoy life for decades longer.
5 Foods That Contain Both Protein and Fiber
It’s challenging to find the two nutrients in a single food, experts say. These categories offer a nice mix.
Tubulin prevents toxic brain protein clumps linked to Alzheimer’s and Parkinson’s
Scientists at Baylor College of Medicine may have uncovered a promising new way to combat Alzheimer’s and Parkinson’s disease. Instead of trying to stop Tau and alpha-synuclein proteins from gathering into tiny droplets inside brain cells, the researchers found that tubulin—the protein that builds the cell’s internal transport network—can redirect these proteins away from forming toxic clumps and toward healthy, productive work.
You may actually like eating bugs
Volunteers in a new study preferred an insect protein bar over a cereal bar.
Cottage Cheese Shortages Are Driven by TikTok and ‘Protein-Maxxing’
TikTok and “protein-maxxing” are driving a cottage cheese squeeze that’s left some consumers desperate.
Scientists May Have Found What Really Triggers Alzheimer’s Disease
Scientists may have uncovered a hidden trigger behind Alzheimer’s disease. Instead of plaques being the root cause, amyloid beta appears to interfere with tau, a protein that helps keep neurons functioning properly. This disruption could set off the damage that eventually leads to the disease’s most recognizable brain changes.
One muscle protein may hold the key to staying stronger as you age, study finds
New research identifies a muscle protein called NOX4 that declines with age and inactivity, potentially explaining why exercise keeps people stronger.
The secret behind smoother, better-tasting protein shakes
A new whey protein manufacturing technique could make protein shakes taste better and feel smoother in the mouth. Researchers traced unwanted bitterness to concentrated minerals and found a way to remove them without sacrificing the improved texture.
Stanford scientists regrow lost cartilage and reverse arthritis in major breakthrough
A new treatment that blocks an aging-related protein restored lost cartilage in old mice and helped prevent arthritis after knee injuries. Human cartilage samples showed similar signs of regeneration, raising hopes for a future drug that could repair joints instead of replacing them.
Scientists discover collagen, the human body's most abundant protein, is liquid-like inside cells
Collagen, the protein that builds skin, bones, tendons and organs, exists inside cells as a liquidlike droplet rather than the long, rigid rod seen in textbooks over the last half-century, according to ...
In the Protein Era, Even He-Man Is Hawking Supplements
To promote “Masters of the Universe,” Mattel, the toymaker behind the movie, tapped into one of the hottest trends in health and wellness: protein.
Scientists uncover RNA's hidden role as protein chaperone
Proteins are how cells get work done. They carry out nearly every important cellular task, from ferrying messages to controlling which genes are turned on or off. And in order for proteins to perform ...
Mylpf protein serves as a molecular linchpin for muscle health
University of Maine researchers have published new findings about how muscles form, why certain muscle diseases develop and why symptoms may not appear until years after muscle degeneration begins.
UMaine researchers identify a molecular linchpin for muscle health
Jared Talbot University of Maine researchers have published new findings about how muscles form, why certain muscle diseases develop and why symptoms may not appear until years after muscle degeneration begins. The study, published in Nature Communications, focuses on a protein called Mylpf that is essential for the development of…
5 health risks from consuming too much protein
Most Americans eat more protein than they need. We asked experts what can happen if people have too much of a good thing.
One UVM lab’s surprise discovery led to flu science breakthrough
Proteins in the two most common types of flu virus enable them to take very different paths to entering human lungs, a finding that could lead to more directed antiviral treatments.
Nutritionist turns processed foods into protein, fiber-packed meals
Cooking from scratch three times a day is like a second job, but using some convenience foods can make it easier to eat well more often.
Scientists unveil 'living bandage' that could dramatically speed wound healing
Rice University researchers developed a "living bandage" that uses engineered cells to deliver healing proteins directly to wounds in animal trials.
BevNET Live: Everwell Health showcases science-backed functional beverage ingredients
Wellness ingredients supplier Everwell Health will be showcasing its “Ingredients for Life” portfolio of functional beverage solutions for caffeine-free energy, concentration, protein, and weight loss at the upcoming BevNET Live event next week in New York City, US (June 10–11). Everwell Health experts will be present at the show, highlighting how the company’s ingredients can help formulators create differentiated beverages that meet growing consumer demand for convenient, multifunctional, and health-focused beverages.
Why Does Roast Chicken Taste So Good? Inside the Science Behind the Flavors We Love
When we cook our favorite meals, what happens to the carbo-hydrates, proteins and fats? I confess I am a less-than-average cook, but God loves a trier. I remember being about 23 years old and tryin…
Costco is selling loads of protein as whey shortages loom
Protein-packed foods and drinks are a huge hit at Costco, but the cost of key ingredients is climbing as demand outpaces supply.
DNA had one rule. Bacteria didn’t get the memo
Every cell in every organism on Earth copies DNA the same way. Except one bacterial protein — quietly doing something scientists had never seen before.
Scientists found the hidden switch fueling alzheimer’s brain inflammation
Scientists at Scripps Research have uncovered a molecular “switch” that appears to fuel the damaging brain inflammation seen in Alzheimer’s disease. They found that a protein called STING becomes chemically altered in a way that keeps the brain’s immune system stuck in overdrive, harming the connections between nerve cells.
A new pancreatic cancer pill may be a game changer for patients
Daraxonrasib, which nearly doubled patients' survival time, fights the disease in a new way. It bear-hugs a cancer protein that drives cell growth.
My favorite school lunch foods at Aldi, from dietitian and mom
I rely on the grocery store for fresh produce, calcium-filled snacks, and protein-packed foods that my child will actually eat at school or camp.
Protein traffic jams may explain aging, memory loss, and Alzheimer’s
Scientists at Stanford may have uncovered a hidden reason our brains decline with age. Studying the ultra-short-lived turquoise killifish, researchers discovered that the cellular machinery responsible for building proteins begins to jam and malfunction over time. Tiny structures called ribosomes start colliding and stalling while reading genetic instructions, triggering a chain reaction that leads to faulty proteins and harmful clumps linked to diseases like Alzheimer’s.
5 Health Risks From Consuming Too Much Protein
Most Americans eat more protein than they need. We asked experts what can happen if people have too much of a good thing.
Researchers block key protein that helps Parkinson’s spread through the brain
A newly identified protein called GPNMB may play a major role in helping Parkinson’s disease spread through the brain. Researchers discovered that immune cells release the protein in response to damaged neurons, creating a vicious cycle that speeds up brain cell degeneration. In early experiments, antibodies that blocked GPNMB stopped the toxic process from spreading between cells.
Zuckerberg's Biohub unveils AI "world model" of proteins
Mark Zuckerberg and Priscilla Chan's non-profit pushes deeper into AI biology.
Nanoparticles genetically modify several human cell types
In a demonstration that helps pave the way for gene therapies with fewer side effects, several human cell types were genetically modified with protein nanoparticles designed at University of Michigan Engineering and Michigan Medicine.
Why Fiber Is Important for Women: What Gastroenterologist Dr. Sachin Goyal Wants You to Know
Fiber is one of the most underrated nutrients in women's health. While protein dominates the conversation, fiber supports hormones, heart health, gut function and bone strength. In this article, GI expert explains what dietary fiber is, the science backed benefits for women and easy ways to boost your daily intake. Whether you are looking to support your heart health or simply want to feel better, fiber is one of the simplest and most effective changes you can make.
How microbes can boost protein content and health benefits in fermented foods
US research recently found that microbial proteins significantly contribute to the protein content of fermented foods, like yogurt and cheese. We explore the findings with one of the study authors, who tells us that microorganisms do not just help foods ferment but also boost their nutritional profile and potentially have health impacts. These food-fermenting microbes raised protein levels, reaching up to 11% of the total protein content, making up 60% of the identified proteins.
Best family meals at Costco, according to executive Costco member
My favorite premade meals at Costco for a quick, easy family dinner range from frozen Kirkland Signature salmon to refrigerated proteins and kits.
Scientists supercharge natural killer cells to fight aggressive cancers
Scientists at McGill University have found a way to supercharge the immune system’s natural killer (NK) cells, helping them break through the defenses tumors use to stay alive. By temporarily blocking two proteins, researchers turned these cells into far more effective cancer fighters against difficult cancers like leukemia, glioblastoma, kidney cancer, and triple-negative breast cancer.
Scientists discover hidden liver switch that cuts harmful cholesterol
Scientists at UT Southwestern have uncovered a surprising new “master switch” that helps control how much cholesterol the liver sends into the bloodstream. The newly identified protein, HELZ2, works by shutting down the genetic instructions needed to produce apoB — a key building block of the cholesterol-carrying particles linked to clogged arteries and heart disease.
Scientists discover hidden driver of aging — Simple supplement reversed brain decline
A newly identified brain protein may play a major role in how the body ages. Researchers discovered that declining levels of Menin in the hypothalamus triggered inflammation, memory problems, bone loss, and other aging-related changes in mice. Restoring Menin reversed several of these effects, while a simple amino acid supplement called D-serine boosted cognition. The discovery opens a surprising new path for fighting age-related decline.
AI & Science: What Is the Future of Discovery?
Continued progress in artificial intelligence, its expanding usefulness in science, and its contributions to landmark advances suggest that we may have entered a new era of AI for science.The breakthroughs so far—such as predicting the structure of practically every known protein, with profound implications for our understanding of biology, health, and the treatment of disease—are notable not only for what was achieved but also how it was achieved and what that suggests for scientific progress. This special double issue of Dædalus poses the question: What is the future of scientific discovery in this new age of AI? Thirty-three scientists responded. Bringing perspectives from life sciences and medicine, cognitive science and neuroscience, the physical and earth sciences, chemistry and materials science, computer science, mathematics and the social sciences—they draw on their work at the frontier of AI and science. The authors write with an eye to the future, not just the present. They explore what is being achieved and what possibilities lie ahead; examine AI’s limitations and efforts to move forward; and investigate the larger implications of AI-assisted science—on how science is done, the role of the scientist, and the scientific method, as well as the challenges and complexities involved.The authors together exemplify a long-standing bidirectional relationship: AI advancing science, while science advances AI. Where that relationship will take us—a golden age of discovery? New scientist-machine collaborations? Autonomous labs? Discoveries without human understanding?—is a future we are only beginning to imagine, and one we must also shape if the beneficial possibilities are to be realized.Image: UMAP sculptures visualizing three Dædalus volumes on artificial intelligence. © 2026 by Refik Anadol.
Scientists discover the nutrient that can supercharge cellular energy
Researchers discovered that leucine, a nutrient found in protein-rich foods, can supercharge mitochondria by protecting crucial energy-producing proteins inside cells. The breakthrough uncovers a powerful new link between diet and cellular energy — with possible implications for cancer and metabolic disease treatments.
Common asthma drug helps fight hard-to-treat cancers, including aggressive breast cancers, early study finds
Scientists found that blocking a protein best known for its role in asthma enhances cancer immunotherapy in preclinical models.
Scientists boosted one protein and aging mice became stronger and healthier
Scientists have identified a protein that appears to put the brakes on the chronic inflammation linked to aging. Older mice with boosted levels of the protein were stronger, more energetic, and had healthier bones than untreated mice. Researchers say the findings could eventually lead to therapies that help people stay healthier and more independent later in life.
Innovation Developed by UT Health Sciences Research Program Passes Landmark Trial for Cardiac Amyloidosis
A new diagnostic tool developed at the University of Tennessee Health Sciences may soon make it significantly easier for physicians to detect cardiac amyloidosis, a progressive and frequently underdiagnosed disease caused by abnormal protein deposits in the heart.
Scientists Discover Over 1,700 'Dark' Proteins Hidden in Human Cells
A new layer of the human genome has been revealed.
Scientists reveal how seven days of fasting transforms the human body
Scientists have discovered that the human body undergoes a dramatic internal transformation during extended fasting, with major changes appearing only after about three days without food. In a seven-day water-only fasting study, researchers tracked thousands of proteins in the blood and found widespread shifts affecting organs throughout the body — including the brain. While the body quickly switches from burning glucose to fat, the most intriguing biological changes linked to potential health benefits didn’t emerge until later in the fast.
Northwestern Students Present Chicken Feed Project At International Science Fair
Junior Allie Hoekman and Sophomore Emily Brick will be taking their project, "Enhancing Chicken Productivity Using Insect Based Protein Sources,” to the
Scientists reverse Alzheimer’s in mice with breakthrough nanotechnology
A new nanotechnology treatment reversed Alzheimer’s symptoms in mice by restoring the brain’s natural cleanup system. The specially engineered nanoparticles helped clear toxic amyloid proteins from the brain and repair the blood-brain barrier, which normally protects and regulates the brain’s environment. In one striking experiment, elderly mice treated with the therapy later behaved like healthy younger mice.
Scientists discover why some cancers survive chemotherapy
Scientists have uncovered a surprising new trick used by one of cancer’s most notorious proteins. MYC, already infamous for fueling runaway tumor growth, also appears to help cancer cells survive by repairing their damaged DNA — including damage caused by chemotherapy and radiation. Researchers found that MYC can rush directly to broken DNA and recruit repair machinery, effectively helping tumors recover from treatments meant to destroy them.
Computer Science Grad Helps Develop AI System to Track Bee Pollen
On the edge of the Arboretum and Botanical Garden at Cal State Fullerton, honeybees return to their hive carrying tiny packets of pollen, a protein source that can mean the difference between a thriving colony and a collapse. But the warning signs are easy to miss. Class of 2026 computer science grad Kshitij Pingle is […]
Scientists identify ‘ghost’ of a long-extinct relative in humans today
Scientists retrieved proteins from six teeth unearthed in China that reveal a potential link between Homo erectus and later human species, including Homo sapiens.
Paleontology rocked by discovery of organic molecules in 66-million-year-old dinosaur bones
Scientists have uncovered compelling evidence that dinosaur fossils may still contain traces of their original proteins, overturning a long-standing belief that fossilization destroys all organic material. In a remarkably well-preserved Edmontosaurus fossil from South Dakota, researchers detected remnants of collagen — the main protein found in bone — using advanced techniques including mass spectrometry and protein sequencing.
This lesser-known cholesterol can quadruple your heart-attack risk
Heart specialists now recommend that everyone get tested for lipoprotein(a). Here’s what to know about it.
GLP-1 Users Are Taking a Bite Out of the Restaurant Business
Restaurants are pushing protein and smaller portions to keep attracting those eating less.
Protein reveals the oldest episode of sex and procreation among human species
Chinese scientists obtain the first molecular evidence of interbreeding between our ancestor ‘Homo erectus’ and the Denisovans, relatives of the Neanderthals
Do you need more protein? What science says about high-protein diets
Are we really falling short on protein—or is the high-protein craze overblown?
New drugs could wipe out the “zombie cells” linked to cancer and aging
Researchers found a new way to kill harmful “zombie” cells that linger after chemotherapy and help cancers become more aggressive. These senescent cells survive by relying on a protective protein called GPX4, even while sitting on the edge of a deadly iron-triggered collapse. New drugs remove that protection, causing the cells to self-destruct. In mice, the approach reduced tumor size and boosted survival, hinting at a promising new cancer therapy.
Scientists discover a weak spot shared by polio and common cold viruses
Scientists at the University of Maryland, Baltimore County, have uncovered a crucial trick used by enteroviruses—the group behind diseases like polio, myocarditis, encephalitis, and even the common cold—to reproduce inside human cells. The team captured, in unprecedented detail, how viral RNA recruits both viral and human proteins to assemble the machinery needed for replication, acting almost like a molecular “on-off switch” that controls whether the virus copies itself or makes proteins.
Scientists reversed biological age in older adults with a 4-week diet change
A four-week diet change was enough to make some older adults appear biologically younger in a new University of Sydney study. Participants who reduced fat intake or shifted toward more plant-based protein showed improvements in key health biomarkers tied to aging. The strongest results came from a lower-fat, higher-carb diet, while people eating closer to their usual diets saw almost no change.
DeepAFM: A deep learning method to decode protein motion
Proteins change shape as they function, and these changes are essential for processes such as drug interactions and cellular activity. Researchers from the Tokyo University of Science developed an AI-based method called DeepAFM that is trained on millions of simulated images representing different protein states, accurately identifying transitions between closed and open states in a protein called SecA. This approach highlights the growing potential of AI to solve complex challenges in biology and medicine.
Scientists Question Trust in AI Over Colleagues
The Conversation publishes an article by researchers at the Institute for Basic Science arguing that rapid adoption of AI in laboratories risks eroding scientific culture and human relationships. The article cites **AlphaFold** as an example of an AI tool that dramatically sped protein-structure prediction, and it notes a broader boom in national initiatives to integrate AI into science, per The Conversation. The authors warn that early-career researchers may outsource troubleshooting and critical evaluation to AI, which could weaken independent thinking and collegial critique. Editorial analysis: For practitioners, the piece highlights trade offs between productivity gains and the social practices that sustain reproducible research.
New obesity discovery rewrites decades of fat science
Scientists have uncovered a surprising secret hidden inside fat cells that could reshape how we think about obesity and metabolic disease. A protein called HSL, long believed to simply release stored fat when the body needs energy, turns out to have a second job deep inside the nucleus of fat cells—helping keep those cells healthy and balanced. Even more surprising, people and mice missing this protein don’t become obese as expected; instead, they lose fat tissue in a dangerous condition called lipodystrophy.
The National Academy of Sciences Elects Two Berkeley Lab Researchers
Two Lawrence Berkeley National Laboratory (Berkeley Lab) scientists have been elected to the National Academy of Sciences (NAS) in recognition of their distinguished and continuing achievements in original research. They are part of a cohort of 120 new members and 25 international members. The National Academy of Sciences is a private, nonprofit institution that was established under a congressional charter signed by President Abraham Lincoln in 1863. It recognizes achievement in science by election to membership, and — alongside the National Academy of Engineering and the National Academy of Medicine — provides science, engineering, and health policy advice to the federal government and other organizations. The 2026 electees bring the total number of active members to 2,705 with 557 international members. Gary Karpen is a biologist senior faculty scientist in Berkeley Lab’s Biological Systems and Engineering Division and a Professor of Cell and Developmental Physiology in the Department of Molecular and Cell Biology at UC Berkeley. Karpen studies how the structure, organization, and maintenance of genetic material impact inheritance and cell function. His lab focuses on chromatin — a packaged form of DNA strands wrapped around proteins that comprises our chromosomes — with a particular emphasis on centromeres, rarely expressed sequences called heterochromatin, DNA repair, and regulatory RNAs. His research reveals insights into fundamental aspects of nuclear organization and genome regulation that are shared across the tree of life, broadening our understanding of cancer and other diseases, birth defects, and aging. Kam-Biu Luk is a Professor Emeritus of physics at UC Berkeley and a retired senior faculty scientist in Berkeley Lab’s Physics Division. He is an experimental particle physicist whose research has focused on neutrinos: nearly massless, electrically neutral elementary particles that can pass through matter virtually undetected. Neutrinos are created during radioactive decay processes, including the fusion process occurring in stars and the fission process that powers nuclear reactors. Luk initiated and co-led the Daya Bay Reactor Neutrino Experiment, a project based in China with more than 200 international collaborators. In 2012, the Daya Bay experiment discovered a new form of a phenomenon called “neutrino oscillation” in which neutrinos change from one type to another. For this discovery, Luk and his collaborator Yifan Wang received the 2014 American Physical Society Division of Particles and Fields W.K.H. Panofsky Prize for outstanding work in experimental particle physics, and he was also the co-recipient of the 2016 Breakthrough Prize. Luk is currently participating in the Deep Underground Neutrino Experiment (DUNE) hosted by Fermi National Accelerator Laboratory, which will investigate any potential difference in behavior between neutrinos and antineutrinos that may shed light on the evolution of the universe, especially why antimatter is absent in the present universe. ### Lawrence Berkeley National Laboratory (Berkeley Lab) is committed to groundbreaking research focused on discovery science and solutions for abundant and reliable energy supplies. The lab’s expertise spans materials, chemistry, physics, biology, earth and environmental science, mathematics, and computing. Researchers from around the world rely on the lab’s world-class scientific facilities for their own pioneering research. Founded in 1931 on the belief that the biggest problems are best addressed by teams, Berkeley Lab and its scientists have been recognized with 17 Nobel Prizes. Berkeley Lab is a multiprogram national laboratory managed by the University of California for the U.S. Department of Energy’s Office of Science. DOE’s Office of Science is the single largest supporter of basic research in the physical sciences in the United States, and is working to address some of the most pressing challenges of our time. For more information, please visit energy.gov/science.
Stanford researchers develop AI scientists for therapeutic discovery
The multi-agent system generated SARS-CoV-2-binding proteins in days.
Is It Healthy to Eat Almonds Every Day? Dietitian Explains
Packed with plant-based protein and fiber, almonds can be a great daily snack.
This simple amino acid supplement greatly reduces Alzheimer’s damage
A new study suggests a surprisingly simple compound could help fight Alzheimer’s disease. Researchers found that arginine—an inexpensive amino acid already considered safe—can reduce the buildup of toxic amyloid proteins in the brain, a hallmark of the disease. In animal models, oral arginine not only lowered harmful protein deposits but also improved behavior and reduced brain inflammation.
Boosting one protein helps the brain fight Alzheimer’s
Scientists have discovered a way to help the brain clean itself of harmful Alzheimer’s plaques by activating its own support cells. By increasing a protein called Sox9, researchers were able to boost the activity of astrocytes, star shaped cells that help maintain brain health. In mice that already showed memory problems, this approach reduced plaque buildup and preserved cognitive function over time.
The expert on 'super aging' breaks down the science — and grift
From peptides and protein to sleep hygiene and vaccines, what actually helps you age well? Physician Eric Topol breaks down the science — and the myths — of longevity and anti-aging.
The expert on 'super aging' breaks down the science — and grift
From peptides and protein to sleep hygiene and vaccines, what actually helps you age well? Physician Eric Topol breaks down the science — and the myths — of longevity and anti-aging.
New treatment cuts bad cholesterol by nearly 50% without statins
A new breakthrough could change how high cholesterol is treated, offering a powerful alternative to traditional drugs. Researchers have developed tiny DNA-based molecules that shut down PCSK9—a key protein that keeps “bad” LDL cholesterol circulating in the blood. By blocking this protein, cells can absorb more cholesterol instead of letting it build up in arteries, dramatically lowering levels linked to heart disease.
Scientists use AI to test whether life can run on only 19 amino acids
An engineered E. coli strain survived after one amino acid was designed out of many of its ribosomal proteins—an early test of whether life’s chemistry can be simplified
Surprising obesity discovery rewrites decades of fat metabolism science
A key protein involved in fat metabolism has been found to do more than scientists once thought. Instead of just releasing fat, it helps maintain healthy fat tissue and balance in the body. When it’s missing or disrupted, the results can be surprisingly harmful. This finding reshapes how researchers think about obesity and metabolic disease.
Healthiest Way To Cook Protein For Your Heart, According To A Cardiologist
In TODAY.com's Expert Tip of the Day, a heart doctor shares how she prepares fish or chicken for the most health benefits.
Viewpoint: A career in science is possible, and worth it
Starting a career in science is exciting, but also demanding, with researchers often faced with intense competition, long working hours and high levels of stress. A pioneer in the field of mass spectrometry, Carol Robinson has been there. She speaks with Science|Business on the importance of creating a supportive environment, particularly for women.Robinson did not wake up one day thinking that she would become a scientist. It was only late in school that she developed an interest in chemistry. “The more you work at something, the more you think, actually, this is fascinating. So, I went much further and deeper than I ever needed to pass the exam. And then I loved it,” she says. “I thought, I’m going to give it my all. I’m going to enjoy it while I’m here. But I didn’t think this would be my career for 50 odd years.”She left school at 16 to become a lab technician with the drug company Pfizer, which is where she first worked with mass spectrometry. Fascinated, she was encouraged to take a part-time degree and then a PhD. She went on to do pioneering work in native mass spectrometry, a technique that is used to study protein structures in their natural state, paving the way for breakthroughs in drug discovery. She also broke new ground by becoming the first female professor of chemistry at the University of Cambridge, and then the first female professor of chemistry at the University of Oxford, her current home.She now wants to show young researchers that a career in science is worth it. “Sometimes, I believe the culture isn’t very encouraging, and that’s something I have worked on,” Robinson says.In 2021, she launched the Kavli Institute for Nanoscience Discovery at Oxford, whose acronym gives a sense of what she hopes it will achieve. “Maybe it is corny,” she says. “It’s just a reminder that I would like it if we could all be kind to each other and supportive, especially for early-career researchers of either gender, because there’s quite a big attrition rate in science, and maybe it just doesn’t feel like a very friendly place to work.”And yet, a career in science comes with a lot of flexibility. “There are few careers where you have that amount of freedom, to go to conferences, to the library. Just because you didn’t see me didn’t mean I wasn’t working,” she says. “And I’m excited to come in every day. So, I don’t want people to think it’s a terrible place.”Gender equality is also important when it comes to the quality of science as a career. “The more women we have, the better it becomes,” Robinson adds.Imposter syndromeAccording to EU data, women outnumber men in university education but account for just about a third of graduates in science, technology, engineering and mathematics (Stem). And while the number of women working as scientists and engineers in the 27-member bloc is on the rise, their representation remains below that of men, at 41%. This discrepancy is even more pronounced in top-tier functions across these fields, where women fill just 20% of positions.Having supervised many young scientists, Robinson sees that women continue to have a greater propensity than men to doubt their abilities, a feeling she once shared. “When I was doing my PhD at the University at Cambridge, I really felt like an imposter,” she says. “I don’t think I ever felt I deserved to be there or owned it and was proud. I just thought I was lucky.” Later on, she adds, “I was always that person who said, I can’t apply yet because my CV is not strong enough.”She has now made it her job to encourage women to break with this imposter syndrome. For example, rather than calling for volunteers to give a lecture in the groups that she mentors or teaches, which nearly always results in men stepping forward, she goes straight to the women, “because I know they won’t push themselves forward.”But the gender gap in science is not just down to imposter syndrome. The “obvious” reason, Robinson says, and the reason that is on everybody’s mind when discussing workplace gender equality, is the balance between work and raising a family. Her own path was to choose between the two, taking an eight-year break after completing a postdoctoral training fellowship to bring up three children. And she continues to advise women not to work part-time while they raise a family. “You’ll just get half the pay and continue to work full-time because you are not able to fit everything in,” she says. “You should be able to have a family and come back to have the career that you want.”The solution is for men to also take career breaks. “That kind of evens it up, so that it’s not such a big thing for women,” Robinson says. “I always encourage men in my groups to do that. I think it’s important to take your share of the duties.”Support produces resultsAccording to the Women in Stem Network, a UK advocacy group, countries with strong childcare systems and equal pay policies retain more women in technical careers. In Europe, these are primarily found in the Nordic region and parts of central Europe.At the EU level, the European Commission asks all Horizon Europe applicant organisations to have a gender action plan in place. Since this criterion was introduced in 2021, the share of women leading consortia has increased to 31%, against 23% in Horizon 2020. Their overall participation, however, has risen just 1%, to 38%. After trying to weaken the requirement for gender action plans in 2025, the Commission now intends to adopt a plan for supporting women in research and innovation.Related articlesCommission scraps plan to water down gender requirements in HorizonHow gender balance can swing who wins Horizon Europe fundingRobinson herself has benefited from three Advanced Grants from the European Research Council. “I was extremely honoured and privileged to get those, because they really allowed me to fuel my passion,” she says. “Without that, it would have been a much harder slog.”Beyond applying gender rules, she says that more work is needed on translational enterprise, where women are, once again, largely underrepresented. The European Patent Office found that only 13.8% of applications were filed by women in 2022. “We have so many more women doing amazing science; why do they feel it’s not a thing to have a company?” she asks.She founded her own spin-out company, OMass Technologies, in 2016, and remains chair of its scientific advisory board now that it trades as OMass Therapeutics. As for research, Robinson is now studying how changes in the brain may be linked to depression, using port-mortem tissue. “We’re hoping to publish soon,” she says. “We had to consult with a lot of people who knew a lot more about the brain than we did. So, we’ve learnt a lot, and that’s always a lot of fun to learn a new thing. That’s what keeps you going.”
Scientists restore memory by blocking a single Alzheimer’s protein
Researchers have identified a new potential weapon against Alzheimer’s: blocking a protein called PTP1B. In mice, this approach boosted memory and helped brain immune cells clear harmful plaque buildup. Since PTP1B is also linked to diabetes and obesity—both risk factors for Alzheimer’s—it could offer a broader treatment strategy.
Chi Ossé Is Powerlifting His Way Through Politics
The New York City Council member on competitions, protein, and exercise as resistance.
Is It Healthy to Eat Cottage Cheese Every Day? Dietitian Explains
It's full of protein and calcium, but is cottage cheese healthy enough to eat every day?
The No. 1 Bad Protein Habit Driving Dietitians 'Insane'
In TODAY.com's Expert Tip of the Day, a dietitian shares a healthier way to think about protein.
10x Science: $4.8 Million Raised To Build AI Platform For Molecular Protein Characterization
10x Science, an artificial intelligence company focused on molecular-level protein characterization, announced that it has raised $4.8 million in seed funding led by Initialized Capital, with participation from Y Combinator, Civilization Ventures, Founder Factor, and a group of strategic angel investors. The round was oversubscribed and will support the company’s efforts to scale its platform and expand partnerships across the life sciences ecosystem.
Fish oil may be hurting your brain, new study finds
Fish oil has long been praised as brain-boosting, but new research suggests the story may be more complicated. Scientists found that in people with repeated mild head injuries, a key omega-3 fatty acid in fish oil—EPA—may actually interfere with the brain’s ability to repair itself. Instead of helping recovery, it appears to weaken blood vessel stability, disrupt healing signals, and even contribute to harmful protein buildup linked to cognitive decline.
Scientists just found what keeps plant cells from growing out of control
Before seedlings can photosynthesize, they depend on fatty acids—and on peroxisomes to process them. Researchers discovered that the protein PEX11 not only helps these structures divide but also controls their size during early growth. When key genes were altered, peroxisomes grew abnormally large, suggesting internal vesicles normally keep them in balance. Remarkably, a yeast version of the protein fixed the problem, pointing to a deeply conserved mechanism across species.
Simple rule for high-protein snacking helps nutritionist hit 100g goal
A nutritionist who worked in high-end kitchens for 10 years uses a formula to make his high-protein snacks delicious and nutritious.
Ph.D. student combines science and leadership while pushing cancer research forward
Oluwaferanmi Ogunleye's work focuses on DNA "barcodes" that track specific proteins in cells and could reveal more information on how cell behave, interact and change.
How can scientists visualize cellular life with greater precision? - Salk Institute for Biological Studies
Highlights Salk researchers collaborated with scientists at Albert Einstein College of Medicine to develop a new class of probes for imaging living cells The probes, called visible-spectrum antigen-stabilizable fluorescent nanobodies (VIS-Fbs), generate high-contrast images with minimal disruption to normal cellular activity The technology enables more precise investigation of complex biological processes, including cell signaling, development, and disease progression LA JOLLA—Fluorescent proteins have revolutionized science, enabling researchers to tag and visualize individual molecules in living cells, tissues, and animals. Using these tools, researchers have watched viruses infect cells in real time, observed cellular trash collection, and tracked the signaling that spurs tumor growth.
Scientists discover skincare compound that kills drug-resistant bacteria
A popular Korean skincare ingredient may be far more powerful than anyone realized. Scientists have discovered that madecassic acid—derived from the herb Centella asiatica—can stop antibiotic-resistant bacteria in their tracks, including dangerous strains of E. coli. By targeting a bacterial protein that humans don’t have, the compound disrupts the microbes’ ability to survive, making it a promising new type of antibiotic.
Is It Healthy to Eat Yogurt Every Day? A Dietitian Explains
Full of protein and probiotics, yogurt is a healthy choice. But can you eat it every day?
A whole new way to prevent death from sepsis shows promise
Filtering a protein that may cause sepsis out from the blood has shown promising signs for improving survival