Scientists Identify New Blood Group After 50 Year Mystery

When a pregnant woman had her blood sampled back in 1972, doctors discovered it was mysteriously missing a surface molecule found on all other known red blood cells at the time.

After 50 years, this strange molecular absence finally led to researchers from the UK and Israel describing a new blood group system in humans. In September, the team published their paper on the discovery.

It represents a huge achievement, and the culmination of a long team effort, to finally establish this new blood group system and be able to offer the best care to rare, but important, patients.

While we're all more familiar with the ABO blood group system and the rhesus factor (that's the plus or minus part), humans actually have many different blood group systems based on the wide variety of cell-surface proteins and sugars that coat our blood cells.

Our bodies use these antigen molecules, amongst their other purposes, as identification markers to separate 'self' from potentially harmful not-selves.

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Blood type (or blood group) is determined, in part, by the ABO blood group antigens present on red blood cells. Antibodies in our blood plasma detect when a foreign antigen marker is present. (InvictaHOG/Public Domain/Wikimedia Commons)

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If these markers do not match up when receiving a blood transfusion, this life-saving tactic can cause reactions or even end up being fatal.

Most major blood groups were identified early in the 20th century. Many discovered since, like the Er blood system first described by researchers in 2022, only impact a small number of people. This is also the case for the new blood group.
Previous research found more than 99.9 percent of people have the AnWj antigen that was missing from the 1972 patient's blood. This antigen lives on a myelin and lymphocyte protein, leading the researchers to call the newly described system the MAL blood group.
When someone has a mutated version of both copies of their MAL genes, they end up with an AnWj-negative blood type, like the pregnant patient. Researchers identified three patients with the rare blood type that didn't have this mutation, suggesting that sometimes blood disorders can also cause the antigen to be suppressed.
MAL is a very small protein with some interesting properties which made it difficult to identify and meant we needed to pursue multiple lines of investigation to accumulate the proof we needed to establish this blood group system.
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To determine they had the correct gene, after decades of research, the team inserted the normal MAL gene into blood cells that were AnWj-negative. This effectively delivered the AnWj antigen to those cells.

The MAL protein is known to play a vital role in keeping cell membranes stable and aiding in cell transport. What's more, previous research found that the AnWj isn't actually present in newborn babies but appears soon after birth.

Interestingly, all the AnWj-negative patients included in the study shared the same mutation. However, no other cell abnormalities or diseases were found to be associated with this mutation.

Now that the researchers have identified the genetic markers behind the MAL mutation, patients can be tested to see if their negative MAL blood type is inherited or due to suppression, which could be a sign of another underlying medical problem.
These rare blood quirks can have devastating impacts on patients, so the more of them we can understand, the more lives can be saved.

Deletions in the MAL gene result in loss of Mal protein, defining the rare inherited AnWj-negative blood group phenotype

https://ashpublications.org/blood/article-abstract/144/26/2735/5174...

To understand the complex relationships between face perception, mental state judgment, trait judgment, and situational effect, they used computational models to quantitatively select a large number of faces, mental state terms, trait terms, and situation descriptions that are representative of those people encounter in everyday life.

They asked participants to view faces and infer how much those individuals would feel certain mental states in given situations. The researchers also asked a separate group of participants to look at the same images of faces and infer the traits of the people they belonged to. Using the information they gathered, they then digitally manipulated the traits of faces.

The researchers  quantified to which degree changing the perceived traits of a face would change people's expectations of how this individual may feel and think in different situations. 

To make sure that their results can be applied to a wide range of populations,  their data and models were based on participants from five continents: Africa, Asia, Europe, North America, and South America.

The researchers  closely examined how their study participants thought specific people in images would feel 60 different mental states in 60 real-world scenarios.

The researchers found that 47 of these 60 mental state inferences were shaped by how the individual looks.

This means that in most circumstances, when other people are trying to understand how you feel and think, their understanding will be biased by their first impressions of your personality (which is not necessarily your true personality but just others' judgments).

Interestingly, the researchers found that first impressions shaped mental state inferences across participants living in all five continents on Earth. This suggests that their findings are robust and the effect they observed is relevant to all people, irrespective of their nationality or cultural background.

Chujun Lin et al, How trait impressions of faces shape subsequent mental state inferences, Nature Human Behaviour (2024). DOI: 10.1038/s41562-024-02059-4.

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Global study links millions of diabetes and heart disease cases to sugary drinks

A new study from researchers  published in Nature Medicine, estimates that 2.2 million new cases of type 2 diabetes and 1.2 million new cases of cardiovascular disease occur each year globally due to consumption of sugar-sweetened beverages.

In developing countries, the case count is particularly sobering. In Sub-Saharan Africa, the study found that sugar-sweetened beverages contributed to more than 21% of all new diabetes cases. In Latin America and the Caribbean, they contributed to nearly 24% of new diabetes cases and more than 11% of new cases of cardiovascular disease.

Colombia, Mexico, and South Africa are countries that have been particularly hard hit. More than 48% of all new diabetes cases in Colombia were attributable to consumption of sugary drinks. Nearly one-third of all new diabetes cases in Mexico were linked to sugary drink consumption. In South Africa, 27.6% of new diabetes cases and 14.6% of cardiovascular disease cases were attributable to sugary drink consumption.

Sugary beverages are rapidly digested, causing a spike in blood sugar levels with little nutritional value. Regular consumption over time leads to weight gain, insulin resistance, and a host of metabolic issues tied to type 2 diabetes and heart disease, two of the world's leading causes of death.

Sugar-sweetened beverages are heavily marketed and sold in low- and middle-income nations. Not only are these communities consuming harmful products, but they are also often less well equipped to deal with the long-term health consequences.

As countries develop and incomes rise, sugary drinks become more accessible and desirable, the authors say. Men are more likely than women to suffer the consequences of sugary drink consumption, as are younger adults compared to their older counterparts, the researchers say.

"We need urgent, evidence-based interventions to curb consumption of sugar-sweetened beverages globally, before even more lives are shortened by their effects on diabetes and heart disease", the researchers emphasize.

The study's authors call for a multi-pronged approach, including public health campaigns, regulation of sugary drink advertising, and taxes on sugar-sweetened beverages.

Laura Lara-Castor, Burdens of type 2 diabetes and cardiovascular disease attributable to sugar-sweetened beverages in 184 countries, Nature Medicine (2025). DOI: 10.1038/s41591-024-03345-4

Sugary drinks, also known as sugar-sweetened beverages or "soft" drinks, include:

• Soda: Includes cola, pop, tonic, and other sodas
• Fruit drinks: Includes fruit juice, fruit punch, and lemonade
• Sports and energy drinks: Includes drinks with added sugar or other sweeteners
• Sweetened milks: Includes chocolate milk
• Sweetened teas and coffees: Includes iced tea, sweetened hot or cold tea, and sweetened coffee
• Almost all branded soft drinks

Dietary choices create distinct gut microbiomes, influencing health outcomes

A varied diet rich in vegetables is known to be healthy for one's well-being. Excessive consumption of meat, especially red meat, can lead to chronic and cardiovascular diseases. That is also because what we eat shapes the gut microbiome. At the same time, excluding certain foods, such as dairy or animal products, is not necessarily a general solution to achieve microbial balance. But can we find out which food products determine differences in the gut microbiome?

Starting from this question, a group of researchers has analyzed biological samples from 21,561 individuals (vegans, vegetarians and omnivores) living in the United States, the United Kingdom and Italy, and found that the dietary pattern has a strong influence on the gut microbiome and on specific gut microbes that are associated with better health. The data is published in Nature Microbiology.

The gut microbiome, the set of microorganisms that inhabit our intestine, plays a crucial role in determining a person's health, as it influences many aspects, from digestion to the immune response. So far, only a few large-scale studies have examined how different diets impact the composition of gut bacteria.

This study focused in particular on the differences and consequences of different diets on the microbiome. The results show that diet patterns shape the gut microbiome, as they not only determine the microbes necessary for digestion, but also the acquisition of microbes directly from the food itself.

Based on the results of the analyses,  on average vegans have the healthiest diets, followed by vegetarians and omnivores. However, the most interesting data emerged from the study of the diversity of the gut microbiome; that is, by measuring the variety of bacteria that inhabit our intestines.

Overall, there was less diversity in vegetarians and vegans than in omnivores, but scientists point out that diversity alone is not a reliable means to determine the health of the microbiome, as it does not take into account the quality and functionality of bacteria.

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The microbial signatures of vegan, vegetarian and omnivorous diets:
A key aspect of the study was to examine the differences between gut microbiomes. The researchers were able to see how each dietary pattern leads to a unique microbial signature. The microbiomes of omnivores have an increased presence of bacteria associated with meat digestion, such as Alistipes putredinis, involved in protein fermentation. Omnivores also have more bacteria associated with inflammatory bowel disease and an increased risk of colon cancer, such as Ruminococcus torques and Bilophila wadsworthia.
The microbiomes of vegans differ in the number of bacteria involved in fiber fermentation, such as several species in the Bacteroides and Firmicutes phyla, which help produce short-chain fatty acids, such as butyrate. These compounds have beneficial effects on gut health, as they reduce inflammation and maintain a better homeostatic balance with our metabolism and immune system.

Finally, the main single difference between vegetarians and vegans is the presence of Streptococcus thermophilus in the microbiome of vegetarians, a bacterium found mainly in dairy products and used in the production of yogurt.
Healthy diet and healthy microbiome
The study highlighted that it is the quality of the diet—rather than the dietary pattern itself—that influences the composition of the microbiome. People with healthier dietary patterns, whether vegan, vegetarian or omnivorous, showed a more favorable microbiome composition. This suggests that regardless of the type of diet, eating more plant-based foods and fewer animal-based foods, especially if highly processed, can be good for gut health.
Another innovative aspect of the research was the study of how bacteria transfer from food to the microbiome. The scientists found that vegans had the fewest food-associated bacteria in the microbiome, except for those derived from fruits and vegetables, which were most present. Vegetarians and omnivores, on the other hand, showed a greater number of bacteria linked to dairy products, especially fermented ones.
The researchers observed that the quantity and diversity of plant-based foods have a very positive impact on the microbiome. Avoiding meat or dairy products does not necessarily have a positive effect if it does not come with a variety of quality plant-based products. From the point of view of the microbiome, what we can generally recommend is that it is important to eat many plant-based foods, especially those rich in fiber. And that food diversity is important.

Nicola Segata, Gut microbiome signatures of vegan, vegetarian and omnivore diets and associated health outcomes across 21,561 individuals, Nature Microbiology (2025). DOI: 10.1038/s41564-024-01870-z

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Three years of solar fireworks

This video combines ultraviolet images of the sun's outer atmosphere (the corona, yellow) taken by Solar Orbiter's Extreme Ultraviolet Imager (EUI) instrument, with the size and locations of solar flares (blue circles) as recorded by the Spectrometer/Telescope for Imaging X-rays (STIX) instrument. The accompanying audio is a sonification based on the detected flares and the spacecraft's distance to the sun.

Scientists identify 11 genes affected by PFAS, shedding light on neurotoxicity

Per- and polyfluorinated alkyl substances (PFAS) earn their "forever chemical" moniker by persisting in water, soil and even the human brain. This unique ability to cross the blood-brain barrier and accumulate in brain tissue makes PFAS particularly concerning, but the underlying mechanism of their neurotoxicity must be studied further.

To that end, a new study by  researchers has identified 11 genes that may hold the key to understanding the brain's response to these pervasive chemicals commonly found in everyday items. The paper is published in the journal ACS Chemical Neuroscience.

These genes, some involved in processes vital for neuronal health, were found to be consistently affected by PFAS exposure, either expressing more or less, regardless of the type of PFAS compounds tested. For example, all compounds caused a gene key for neuronal cell survival to express less, and another gene linked to neuronal cell death to express more.

Still, the study found that hundreds more genes whose expression changed in different directions based on the compound tested. Plus, there was no correlation between the level at which PFAS accumulates in a cell and the extent to which it causes differential gene expression.

Taken together, this suggests that distinct molecular structures within each type of PFAS drive changes in gene expression.

PFAS aren't immediately toxic. We're exposed to them practically every day, including through drinking water and food packaging, and don't notice.

Therefore, researchers need to find points of assessment further upstream in the cellular process than just whether a cell lives or dies.

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The research team decided to focus on how PFAS affects the gene expression of neuronal-like cells, as well as how PFAS affects lipids, which are molecules that help make up the cell membrane, among other important functions. Exposure to different PFAS for 24 hours resulted in modest but distinct changes in lipids, and over 700 genes expressing differently.

Of the six types of PFAS tested, perfluorooctanoic acid (PFOA)—once commonly used in nonstick pans and recently deemed hazardous by the EPA—was by far the most impactful. Despite its small uptake, PFOA altered the expression of almost 600 genes—no other compound altered more than 147. Specifically, PFOA decreased the expression of genes involved in synaptic growth and neural function.

Altogether, the six compounds caused changes in biological pathways involved in hypoxia signaling, oxidative stress, protein synthesis and amino acid metabolism, all of which are crucial for neuronal function and development.

 Logan Running et al, Investigating the Mechanism of Neurotoxic Effects of PFAS in Differentiated Neuronal Cells through Transcriptomics and Lipidomics Analysis, ACS Chemical Neuroscience (2024). DOI: 10.1021/acschemneuro.4c00652

Part 2

Researchers Explore Touchless Fingerprints: The Next Step in Biometric Technology

Fingerprints have always been one of the most reliable ways to identify a person. 

Traditionally, fingerprints are captured by pressing your finger against a surface, like when you unlock your phone or when using biometric scanners at work. However, new research is exploring a touch-free way to capture fingerprints aiming to make this process cleaner, easier, and more accurate. A collaboration between researchers is looking to use a photograph of your finger to capture fingerprints.

A fingerprint is composed of unique patterns of ridges and valleys on the skin of your fingers. Features called "minutiae," where ridges end, or split, are unique to an individual and play a crucial role in distinguishing one fingerprint from another. In this study, the scientists devised a method that begins with capturing a picture of your finger instead of pressing it against a scanner. They then use a range of image processing techniques to highlight and enhance the intricate details of your fingerprint in the photo.

A method called Adaptive Thresholding helps adjust the brightness levels to make the fingerprint patterns more distinct. Next, a "Gabor Filter," which sharpens the textures, emphasizing those all-important ridges and valleys, is applied. Once the minutiae are clearly visible, they use something called a K-means clustering algorithm to remove the background from the image, much like focusing a camera lens to blur out everything except the main subject – your fingerprint. Once the image is processed, it undergoes a thinning process to make the fingerprint one pixel wide. This skeletonized version of the fingerprint is then used to extract minutiae.

Additionally, the researchers used an innovative combination of machine learning, specifically a kind of artificial intelligence called a "Siamese network," with traditional techniques. The Siamese network aids in learning patterns by comparing more than one fingerprint image and recognizing similar features, making the system very accurate. Using this combination method, the system achieves impressive accuracy, with the error rate dropping as low as 2.5% or 3.76% depending on the datasets used for testing.

While the current research is promising, there are still areas that need further exploration. Researchers are interested in testing different types of wavelets (a mathematical function used to analyze the details at different frequencies) that could potentially enhance the process and results. Additionally, they aim to develop even more advanced techniques for fusing all the gathered information, making the fingerprint identification process even more robust.

This touchless method has some immediate perks. For one, it’s more hygienic since you don’t have to physically touch a scanner. Imagine not having to worry about transferring germs and viruses, as experienced during the COVID-19 pandemic. Moreover, it overcomes problems like sensor wear and tear, which can happen very quickly when a device gets pressed repeatedly. In the future, these advancements could even allow for systems that recognize other biometric data like palm prints or face characteristics, integrating them into a singular system for even more secure identification.

https://ieeexplore.ieee.org/document/10759693

Basking too long in a sauna without adequate hydration may risk heat stroke, doctors warn

Basking too long in a sauna may put bathers at risk of heat stroke, particularly if they haven't drunk enough water beforehand, warn doctors in the journal BMJ Case Reports, after treating a woman whose condition required admission to hospital.

Although relatively rare, heat stroke can be life-threatening, even in the absence of various underlying risk factors, such as heart, lung, or neurological disease, and heavy drinking or taking a cocktail of prescription meds, they point out.

Heat stroke is defined as a sharp increase in core body temperature above 40°C that is associated with acutely impaired brain function, and 'non-exertional' heat stroke results from prolonged exposure to high environmental temperatures, explain the authors.

They treated a woman in her early 70s who had been found unconscious in her local gym's sauna, where she had been doing stretching exercises for around 45 minutes. Her core body temperature was 42°C—normal temperature is 36.4°C—her blood pressure was extremely low, and her heart rate was extremely high. She had a seizure after her arrival in emergency care.

She had previously been diagnosed with type 1 diabetes and an underactive thyroid, but she wasn't a smoker or heavy drinker, and was a regular gym goer, so had few risk factors, point out the authors.

She was rapidly cooled with wet towels and a fan and given intravenous fluids and blood products to stabilize her.

Blood tests revealed malfunctioning kidneys and liver, evidence of a minor heart attack, and muscle tissue breakdown (rhabdomyolysis).

She regained consciousness within two hours of reaching normal core temperature but was confused and drowsy for two days. By day three, this had resolved and she had no further seizures during her inpatient stay, which lasted 12 days.

After 26 days, she had more or less fully recovered, except for some mild fatigue and mild liver function disturbance.

This is just one case report after prolonged sauna use, and as far as the authors are aware, only nine other similar cases have been reported. But three of those people died as a result.

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The prognosis of heat stroke varies according to patient factors, particularly extremes of age," explain the authors. "Classical heat stroke in elderly people carries a mortality rate of [more than] 50%, and this increases further with each additional organ dysfunction.

"Heat-related deaths spike during heat waves, as has been observed in multiple large international datasets. Deaths from heat stroke are expected to rise as global temperatures continue to increase," they add.

"Once heat stroke has occurred, the key determinate of outcome is how rapidly a patient is cooled, as the time spent with elevated core body temperature is correlated to the degree of cellular damage," they emphasize.

Severe heat stroke with multiorgan failure following collapse in a sauna, BMJ Case Reports (2025). DOI: 10.1136/bcr-2024-262069

Part 2

Mathematical methods point to possibility of particles long thought impossible

From the early days of quantum mechanics, scientists have thought that all particles can be categorized into one of two groups—bosons or fermions—based on their behaviour.

However, new research shows the possibility of particles that are neither bosons nor fermions. The study, published in Nature, mathematically demonstrates the potential existence of paraparticles that have long been thought impossible.

Quantum mechanics has long held that all observable particles are either fermions or bosons. These two types of particles are distinguished by how they behave when near other particles in a given quantum state. Bosons are able to congregate in unlimited numbers, whereas only one fermion can exist in a given state. This behaviour of fermions is referred to as the Pauli exclusion principle, which states that no more than two electrons, each with opposite spins, can occupy the same orbital in an atom.

In the 1930s and 1940s, researchers began trying to understand whether other types of particles could exist. A concrete quantum theory of such particles, known as paraparticles, was formulated in 1953 and extensively studied by the high energy physics community. However, by the 1970s, mathematical studies seemed to show that so-called paraparticles were actually just bosons or fermions in disguise. The one exception was the existence of anyons, an exotic type of particle that exists only in two dimensions.

However, the mathematical theories of the 1970s and beyond were based on assumptions that are not always true in physical systems. Using a solution to the Yang-Baxter equation, an equation useful for describing the interchange of particles, along with group theory and other mathematical tools,  researchers set to work to show that paraparticles could theoretically exist and be fully compatible with the known constraints of physics.

The researchers focused on excitations—which can be thought of as particles—in condensed matter systems such as magnets to provide a concrete example of how paraparticles can emerge in nature.

Part 1

Particles aren't just these fundamental things, they're also important in describing materials.
This is cross-disciplinary research that involves several areas of theoretical physics and mathematics.
Using advanced mathematics, such as Lie algebra, Hopf algebra and representation theory, as well as a pictorial method based on something known as tensor network diagrams to better handle equations, the researchers were able to perform abstract algebraic calculations to develop models of condensed matter systems where paraparticles emerge.

They showed that, unlike fermions or bosons, paraparticles behave in strange ways when they exchange their positions with the internal states of the particles transmuting during the process.
While they are groundbreaking on their own, these models are the first step toward a better understanding of many new physical phenomena that could occur in paraparticle systems. Further development of this theory could guide experiments that could detect paraparticles in the excitations of condensed matter systems.

Zhiyuan Wang et al, Particle exchange statistics beyond fermions and bosons, Nature (2025). DOI: 10.1038/s41586-024-08262-7

Part 2

Discovery of new class of particles could take quantum mechanics one step further

Amid the many mysteries of quantum physics, subatomic particles don't always follow the rules of the physical world. They can exist in two places at once, pass through solid barriers and even communicate across vast distances instantaneously. These behaviors may seem impossible, but in the quantum realm, scientists are exploring an array of properties once thought impossible.

In a new study, physicists  have now observed a novel class of quantum particles called fractional excitons, which behave in unexpected ways and could significantly expand scientists' understanding of the quantum realm.

The findings point toward an entirely new class of quantum particles that carry no overall charge but follow unique quantum statistics.

The most exciting part is that this discovery unlocks a range of novel quantum phases of matter, presenting a new frontier for future research, deepening our understanding of fundamental physics, and even opening up new possibilities in quantum computation.

The research   was published in Nature on Wednesday, Jan. 8.

The team's discovery centers around a phenomenon known as the fractional quantum Hall effect, which builds on the classical Hall effect, where a magnetic field is applied to a material with an electric current to create a sideways voltage.

The quantum Hall effect, occurring at extremely low temperatures and high magnetic fields, shows that this sideways voltage increases in clear, separate jumps. In the fractional quantum Hall effect, these steps become even more peculiar, increasing by only fractional amounts—carrying a fraction of an electron's charge.

In their experiments, the researchers built a structure with two thin layers of graphene, a two-dimensional nanomaterial, separated by an insulating crystal of hexagonal boron nitride. This setup allowed them to carefully control the movement of electrical charges. It also allowed them to generate particles known as excitons, which are formed by combining an electron and the absence of an electron known as a hole.

They then exposed the system to incredibly strong magnetic fields that are millions of times stronger than Earth's. This helped the team observe the novel fractional excitons, which showed an unusual set of behaviours.

Fundamental particles typically fall into two categories. Bosons are particles that can share the same quantum state, meaning many of them can exist together without restrictions. Fermions, on the other hand, follow what's known as the Pauli exclusion principle, which says no two fermions can occupy the same quantum state.

The fractional excitons observed in the experiment, however, didn't fit cleanly into either category. While they had the fractional charges expected in the experiment, their behavior showed tendencies of both bosons and fermions, acting almost like a hybrid of the two. That made them more like anyons, a particle type that sits between fermions and bosons—yet the fractional excitons had unique properties that set them apart from anyons, as well.

Part 1

This unexpected behavior suggests fractional excitons could represent an entirely new class of particles with unique quantum properties.

This shows that excitons can exist in the fractional quantum Hall regime and that some of these excitons arise from the pairing of fractionally charged particles, creating fractional excitons that don't behave like bosons.

The existence of a new class of particles could one day help improve the way information is stored and manipulated at the quantum level, leading to faster and more reliable quantum computers, the team noted.

Naiyuan J. Zhang et al, Excitons in the fractional quantum Hall effect, Nature (2025). DOI: 10.1038/s41586-024-08274-3. www.nature.com/articles/s41586-024-08274-3

Part 2

Human 'domainome' reveals root cause of heritable disease

Most mutations which cause disease by swapping one amino acid out for another do so by making the protein less stable, according to a massive study of human protein variants published in the journal Nature. Unstable proteins are more likely to misfold and degrade, causing them to stop working or accumulate in harmful amounts inside cells.

The work helps explain why minimal changes in the human genome, also known as missense mutations, cause disease at the molecular level. The researchers discovered that protein instability is one of the main drivers of heritable cataract formation, and also contributes to different types of neurological, developmental and muscle-wasting diseases.

Researchers  studied 621 well-known disease-causing missense mutations. Three in five (61%) of these mutations caused a detectable decrease in protein stability.

The study looked at some disease-causing mutations more closely. For example, beta-gamma crystallins are a family of proteins essential for maintaining lens clarity in the human eye. They found that 72% (13 out of 18) of mutations linked to cataract formation destabilize crystallin proteins, making the proteins more likely to clump together and form opaque regions in the lens.

The study also directly linked protein instability to the development of reducing body myopathy, a rare condition which causes muscle weakness and wasting, as well as ankyloblepharon-ectodermal defects-clefting (AEC) syndrome, a condition characterized by the development of a cleft palate and other developmental symptoms.

However, some disease-causing mutations did not destabilize proteins and shed light on alternative molecular mechanisms at play.

Part 1

Rett Syndrome is a neurological disorder which causes severe cognitive and physical impairments. It is caused by mutations in the MECP2 gene, which produces a protein responsible for regulating gene expression in the brain.
The study found that many mutations in MECP2 do not destabilize the protein but are instead found in regions which affect how MECP2 binds to DNA to regulate other genes. This loss of function could be disrupting brain development and function.
By distinguishing whether a mutation destabilizes a protein or alters its function without affecting stability, we can tailor more precise treatment strategies. This could mean the difference between developing drugs that stabilize a protein versus those that inhibit a harmful activity. It's a significant step toward personalized medicine.
The study also found that the way mutations cause disease often relates to whether the disease is recessive or dominant. Dominant genetic disorders occur when a single copy of a mutated gene is enough to cause the disease, even if the other copy is normal, while recessive conditions occur when an individual inherits two copies of a mutated gene, one from each parent.

Mutations causing recessive disorders were more likely to destabilize proteins, while mutations causing dominant disorders often affected other aspects of protein function, such as interactions with DNA or other proteins, rather than just stability.

For example, the study found that a recessive mutation in the CRX protein, which is important for eye function, destabilizes the protein significantly, which could be causing heritable retinal dystrophies because the lack of a stable, functional protein impairs normal vision.

However, two different types of dominant mutations meant the protein remained stable but functioned improperly anyway, causing retinal disease even though the protein's structure is intact.
Part 2

The discoveries were possible thanks to the creation of Human Domainome 1, an enormous library of protein variants. The catalog includes more than half a million mutations across 522 human protein domains, the bits of a protein which determine its function. It is the largest catalog of human protein domain variants to date.

Protein domains are specific regions which can fold into a stable structure and perform a job independently of the rest of the protein. Human Domainome 1 was created by systematically changing each amino acid in these domains to every other possible amino acid, creating a catalog of all possible mutations.

The impact of these mutations on protein stability was discovered by introducing mutated protein domains into yeast cells. The transformed yeast could only produce one type of mutated protein domain, and cultures were grown in test tubes under conditions which linked the stability of the protein to the growth of the yeast. If a mutated protein was stable, the yeast cell would grow well. If the protein was unstable, the yeast cell's growth would be poor.
Using a special technique, the researchers ensured only the yeast cells producing stable proteins could survive and multiply. By comparing the frequency of each mutation before and after the yeast growth, they determined which mutations led to stable proteins and which caused instability.

Though Human Domainome 1 is around 4.5 times bigger than previous libraries of protein variants, it still only covers 2.5% of known human proteins. As researchers increase the size of the catalog, the exact contribution of disease-causing mutations to protein instability will become increasingly clear.

In the meantime, researchers can use the information from the 522 protein domains to extrapolate to proteins that are similar. This is because mutations often have similar effects on proteins that are structurally or functionally related. By analyzing a diverse set of protein domains, the researchers discovered patterns in how mutations affect protein stability that are consistent across related proteins.

Essentially, this means that data from one protein domain can help predict how mutations will impact other proteins within the same family or with similar structures. The 'rules' from these 522 domains are enough to help us make educated predictions about many more proteins than there are in the catalog.
The study has limitations. The researchers examined protein domains in isolation rather than within full-length proteins. In living organisms, proteins interact with other parts of the protein and with other molecules in the cell.

The study might not fully capture how mutations affect proteins in their natural habitat inside human cells. The researchers plan on overcoming this by studying mutations in longer protein domains, and eventually, full-length proteins.

Ben Lehner, Site saturation mutagenesis of 500 human protein domains, Nature (2025). DOI: 10.1038/s41586-024-08370-4. www.nature.com/articles/s41586-024-08370-4

Part 3

Plant cells gain immune capabilities when it's time to fight disease, scientists discover

Human bodies defend themselves using a diverse population of immune cells that circulate from one organ to another, responding to everything from cuts to colds to cancer. But plants don't have this luxury.

Because plant cells are immobile, each individual cell is forced to manage its own immunity in addition to its many other responsibilities, like turning sunlight into energy or using that energy to grow. How these multitasking cells accomplish it all—detecting threats, communicating those threats, and responding effectively?

Research by  scientists reveals how plant cells switch roles to protect themselves against pathogens. When a threat is encountered, the cells enter a specialized immune state and temporarily become PRimary IMmunE Responder (PRIMER) cells—a new cell population that acts as a hub to initiate the immune response.

The researchers also discovered that PRIMER cells are surrounded by another population of cells they call bystander cells, which seem to be important for transmitting the immune response throughout the plant.

The findings, published in Nature on January 8, 2025, bring researchers closer to understanding the plant immune system—an increasingly important task amid the growing threats of antimicrobial resistance and climate change, which both escalate the spread of infectious disease.

Plants encounter a wide range of pathogens, like bacteria that sneak in through leaf surface pores or fungi that directly invade plant "skin" cells. Since plant cells are stationary, when they encounter any of these pathogens, they become singularly responsible for responding and alerting nearby cells.

Another interesting side effect of immobile cells is the fact that different pathogens may enter a plant at different locations and times, leading to varying immune response stages occurring simultaneously across the plant.

With factors like timing, location, response state, and more all at play, an infected plant is a complicated organism to understand.

To tackle this, the research team turned to two sophisticated cell profiling techniques called time-resolved single-cell multiomics and spatial transcriptomics. By pairing the two, the team was able to capture the plant immune response in each cell with unprecedented spatiotemporal resolution.

Discovering these rare PRIMER cells and their surrounding bystander cells is a huge insight into how plant cells communicate to survive the many external threats they face day-to-day.

Joseph Ecker, A rare PRIMER cell state in plant immunity, Nature (2025). DOI: 10.1038/s41586-024-08383-z. www.nature.com/articles/s41586-024-08383-z

Why do birds make so many different sounds?

Birds make sounds to communicate, whether to find a potential mate, ward off predators, or just sing for pleasure.

But the conditions that contribute to the immense diversity of the sounds they make are not well understood. Researchers have conducted the first-ever global study of the factors that influence bird sounds, using more than 100,000 audio recordings from around the world. The new study, recently published in the journal Proceedings of the Royal Society B, revealed insightful patterns for why birds make certain noises and at what frequency.

Researchers analyzed audio recordings of bird sounds taken by people around the world and submitted to a bird-watching repository called xeno-canto. The analyzed recordings represented 77% of known bird species.

The study's major takeaways included:

The habitats of bird species influence the frequency of the sounds they may make in unexpected ways. For example, in ecosystems with a lot of rushing water there is a constant level of white noise occurring at a lower frequency. In such cases, researchers found that birds tend to make sounds of higher frequency, likely so they wouldn't be drowned out by the water.

Bird species living at the same latitudes make similar sounds. Observing this pattern on a global scale is an important piece of the puzzle in the evolutionary story of bird sounds. It could inspire further research into the aspects of geographic location that influence bird sounds.

A bird's beak shape and body mass are important. Generally, smaller birds create higher frequency sounds while larger birds create lower frequency sounds. The global analysis not only proved this hypothesis correct, but it also added new information about the nature of the relationship between beak shape, body mass and sound.

Smaller bird species tend to have a wider range of frequencies at which they can make sound as a protection mechanism. Smaller, more vulnerable birds can benefit from being able to make a range of sounds. Higher frequencies can help them communicate with fellow birds of the same species, while lower frequencies can serve as camouflage, tricking potential threats into thinking they are larger and less vulnerable than they actually are.

The research also contributed to the broader understanding of soundscapes—all of the sounds heard in any particular landscape.

: H. S. Sathya Chandra Sagar et al, Global analysis of acoustic frequency characteristics in birds, Proceedings of the Royal Society B: Biological Sciences (2024). DOI: 10.1098/rspb.2024.1908

What we eat not only affects our health—but can also alter how our genes function

Fiber is well known to be an important part of a healthy diet, yet not many take it as 'food'.

 A study from  Medical field might finally convince us to fill our plates with beans, nuts, cruciferous veggies, avocados and other fiber-rich foods.

The research, published in Nature Metabolism on Jan. 9 identified the direct epigenetic effects of two common byproducts of fiber digestion and found that some of the alterations in gene expression had anti-cancer actions.

When we eat fiber, the gut microbiome produces short-chain fatty acids. These compounds are more than just an energy source for us: they have long been suspected to indirectly affect gene function. The researchers traced how the two most common short-chain fatty acids in our gut, propionate and butyrate, altered gene expression in healthy human cells, in treated and untreated human colon cancer cells, and in mouse intestines.

They found direct epigenetic changes at specific genes that regulate cell proliferation and differentiation, along with apoptosis, or pre-programmed cell death processes—all of which are important for disrupting or controlling the unchecked cell growth that underlies cancer.

A direct link between eating fiber and modulation of gene function that has anti-cancer effects is likely a global mechanism because the short-chain fatty acids that result from fiber digestion can travel all over the body. 

It is generally the case that people's diet is very fiber poor, and that means their microbiome is not being fed properly and cannot make as many short-chain fatty acids as it should. This is not doing our health any favours.

By identifying the gene targets of these important molecules, we can understand how fiber exerts its beneficial effects and what goes wrong during cancer.

Short-chain fatty acid metabolites propionate and butyrate are unique epigenetic regulatory elements linking diet, metabolism and gene expression, Nature Metabolism (2025). DOI: 10.1038/s42255-024-01191-9

Scientists drill nearly 2 miles down to pull 1.2 million-year-old ice core from Antarctic

An international team of scientists announced this week they've successfully drilled one of the oldest ice cores yet, penetrating nearly 2 miles (2.8 kilometers) to Antarctic bedrock to reach ice they say is at least 1.2 million years old.

Analysis of the ancient ice is expected to show how Earth's atmosphere and climate have evolved. That should provide insight into how Ice Age cycles have changed, and may help in understanding how atmospheric carbon  changed climate, they said.

The same team previously drilled a core about 800,000 years old. The latest drilling went 2.8 kilometers (about 1.7 miles) deep, with a team of 16 scientists and support personnel drilling each summer over four years in average temperatures of about minus-35 Celsius (minus-25.6 Fahrenheit).

Thanks to the analysis of the ice core of the previous Epica campaign they have assessed that concentrations of greenhouse gases, such as carbon dioxide and methane, even during the warmest periods of the last 800,000 years, have never exceeded the levels seen since the Industrial Revolution began.

Today we are seeing carbon dioxide levels that are 50% above the highest levels we've had over the last 800,000 years, the scientists say.

Source: News Agencies

Mining dust is suffocating nearby forests in India, study shows

Dust from open cast mining suffocates surrounding forests and inhibits trees' ability to capture carbon from the atmosphere more than previously thought, according to new research by scientists in India and the UK.

Researchers  have assessed the impact of mining dust on forests in Eastern India, which is home to some of the world's major open-pit coal mines. The work is published in the Journal of Geophysical Research: Biogeosciences.

Focusing on the coal mining region of Eastern India, the research team studied detailed satellite images to inform its findings. They also collected 300 leaf samples from 30 different sites in Jharsuguda, and found dust deposits containing aluminum, silica and iron on them.

"Pollution from open cast mines creates a layer of dust that settles on the leaves of trees, making them increasingly less productive and less healthy. We knew this was the case, but we have learned that it is unfortunately worse—and more far spread—than we thought", say the scientists.

The dust affects trees' complex physiological processes, hindering their ability to capture carbon dioxide and damaging their overall health.

Dust from mines that settles on leaves impacts their function, impeding photosynthesis, light interception, nutrient availability, gas-energy exchange, plant-pathogen interactions, and causing physical damage.

Dust particles obstruct the leaves' stomata, the tiny openings through which plants exchange gases with the atmosphere. This reduces the plant's ability to capture carbon and release oxygen.

Mining dust is also impacting trees in a wide geographical area, reaching far beyond the immediate vicinity of the mines—up to 30km away from the mines. The highest concentration of negative impact is along transportation routes to and from the mines.

 This research should provide a solid foundation to inform future environmental management, as well as demonstrate the need for ongoing research to fully understand and mitigate the negative impact of mining on the delicate surrounding ecosystems.

Avinash Kumar Ranjan et al, A New Approach for Prediction of Foliar Dust in a Coal Mining Region and Its Impacts on Vegetation Physiological Processes Using Multi‐Source Satellite Data Sets, Journal of Geophysical Research: Biogeosciences (2024). DOI: 10.1029/2024JG008298

Scientists create comprehensive map of protein locations within human cells

 Each of our cells is built from a collection of about 10,000 kinds of proteins. Researchers have long had the ability to track the positions of small numbers of these proteins under the lens of a microscope. However, capturing the full scope of their locations in the cell has remained more challenging, let alone following how they change locations as a cell adapts to different conditions.

Proteins in a cell must be in the right department to do their jobs. Scientists  are trying to fully map the cell's organization and  determine how these cellular proteins may be reassigned in a time of crisis or change. A hostile takeover by a virus, for example, can send a cell's proteins to new stations, from which they may either serve the pathogen's aims or help the cell as it attempts to resist the infection.

A new method, described Dec. 31 in Cell and devised by a multidisciplinary team captures spatial organization across the entire cell at an unprecedented level of detail. Their approach maps the majority of a human cell's roughly 10,000 kinds of proteins according to the organelles and other compartments containing them, providing a crucial reference to understand how our cells are built. The team also applied their method to characterize how a portion of these proteins relocate during viral infection.

The new work is an example of "spatial proteomics," a burgeoning field that was named the 2024 "Method of the Year" by the journal Nature Methods. Spatial proteomics aims to increase our understanding of how proteins function by building detailed maps of their locations in cells and tissues.

Researchers typically study cellular responses by looking for increases or decreases in the quantity of particular proteins or their precursor mRNA molecules, as the cell "hires" or "fires" proteins to adapt to changing circumstances. In the experiments reported in the article, however, changes in proteins' location occurred largely independently from changes in their abundance — suggesting this conventional approach captures only a portion of a cell's response.

If we want to get the full picture of what's going on in cells during disease, we need to think not only about measuring abundance, but also changes in spatial organization.

Part 1

Earlier the researchers developed a platform called OpenCell that used microscopy to map the precise cellular location of more than 1,300 kinds of proteins under baseline conditions.
Now rather than focus on precisely pinpointing the location of particular proteins one at a time, their new approach, Organelle Profiling, considers them as constituents of a cell's organelles, its liquid interior (the cytosol), and other internal structures. In the new study, they attached unique molecular tags to 19 such compartments that collectively account for the entire cell.

After tagging, they forced cells through a narrow syringe, gently breaking them open while keeping internal structures intact. Using antibodies designed to recognize the tags, they extracted the individual compartments before determining their protein composition with mass spectrometry, an analytical technique that identifies compounds based on their electrical charge and mass.
From within these compartments, they identified and analyzed the relative location of more than 8,000 unique kinds of proteins.
The same kind of protein could appear in multiple compartments, in some cases showing up faintly when a bit of an organelle was extracted along with a neighboring compartment. The team then looked for proteins with similar profiles. In their analysis, they built a network that treats similar proteins as connected, leading to the appearance of well-delineated clusters of proteins that define individual compartments — endoplasmic reticulum, cytosol, mitochondria, and so on.

Some proteins had significant connections that straddled compartments. These proteins, which the researchers interpreted as being located at compartment boundaries, help the compartments work together to support the cell.

In the end, the team generated a map that organizes proteins according to their relationships with one another — a high-resolution view that spans the entire cell. When they compared this map to previously collected data about the proteins, they found it matched up very well.
Part 2

To next see how cells can reconfigure themselves internally in response to change, the team exposed the cells to OC43, a coronavirus that causes the common cold, then repeated the Organelle Profiling analysis. This revealed two distinct shifts: 633 kinds of proteins relocated, meaning that their relationships with other proteins in the cellular map changed significantly. Meanwhile, the overall abundance of 429 kinds of proteins increased or decreased. But, to the team's surprise, only 54 underwent both types of changes.
The shifts in location after OC43 infection provided new clues to the underlying biology. In particular, the relocation of proteins involved in a form of programmed cell death called ferroptosis led the researchers to show that increasing ferroptosis promoted infection, while decreasing it inhibited the virus. This shows that ferroptosis plays a central role in controlling infection, and could be a target for the development of new antiviral therapies.

The researchers are continuing to look for other examples of telltale protein shuffling, both in other viral infections and in Alzheimer's disease.
The group has made the data they have generated via Organelle Profiling freely available to other scientists. The team at CZ Biohub SF is also planning to offer the tools they used, including cells and reagents, to the scientific community. A streamlined software program they are developing will allow other researchers to more readily map the compartmentalization of proteins in the scenarios they study. In return, the team hopes others will contribute their data openly to build better models of how our cells are internally organized.

 Marco Y. Hein et al, Global organelle profiling reveals subcellular localization and remodeling at proteome scale, Cell (2024). DOI: 10.1016/j.cell.2024.11.028

Part 3

Astronomers discovered 44 ancient stars using gravitational lensing

A group of astronomers have made history by capturing an image of a record number of stars from a time when the universe was half its age.

The astronomers detected 44 stars in the "Dragon Arc" galaxy, located 6.5 billion light years away from our own Milky Way, using NASA's ultra-powerful James Webb Space Telescope.

However, the discovery was also only possible because of a well-known concept in the world of physics: gravitational lensing. First developed as part of Albert Einstein's theory of general relativity, its use here could help chart new interstellar territory.

What exactly is gravitational lensing and how did it help capture an image 6.5 billion years in the making?

Gravitational lensing is the distortion effect that massive objects sitting in space-time, like galaxies and even galaxy clusters, have on rays of light. 

Imagine a large, stretched out rubber sheet. If a heavy object is placed on the sheet, it creates a dip or a well, distorting the surface. If you try to roll an object like a marble from one end of the sheet to another, it can still make it to the other side but it will be deflected from its normal path.

That's exactly what's happening but with light rays instead of marbles. It's called gravitational lensing because in this case gravity … is acting as a lens distorting light, or focusing beams of light, in the same way that glass alters the path of light from the sun or a light bulb and leads it to focus differently on your retina.

Usually, the farther away a galaxy is, the harder it is to capture it with any level of fine detail. Astronomers have been observing individual stars in our own Milky Way and in nearby galaxies like Andromeda and the Magellanic Clouds. But "anything beyond our little cosmic backyard, the galaxies are too far away for us to distinguish individual stars". 

However, in this case, the astronomers were able to detect the light from 44 stars in the distant Dragon Arc galaxy using the distortion caused by the massive galaxy cluster Abell 370. The cluster essentially served as a massive magnifying glass, sitting between Earth and the Dragon Arc.

Part 1

There was also a double layer of gravitational lensing. Serendipitously, smaller objects––free-floating stars that had been set loose by the forces of the galaxy cluster––just so happened to be moving past the light coming from these stars. This phenomenon of smaller, moving objects causing a small gravitational lensing effect is known as microlensing.

When those stars pass in front of the image of this background Dragon Arc galaxy, they introduce an additional lensing effect and then magnify the galaxy even more and allow us to discern individual stars toward the edge of the disk of this galaxy.

This double lensing effect has been used before too.

It actually unlocks a whole new "line of investigation" for astrophysicists interested in looking back even further into the universe's history.

https://news.northeastern.edu/2025/01/08/gravitational-lensing-anci...

Can exercise really ease knee pain?

Movement is medicine, or so they tell people with knee osteoarthritis—but are they right?

A recent evidence review calls into question just how helpful exercise can be for easing the pain of knee arthritis.

"Exercise probably results in an improvement in pain, physical function, and quality of life in the short‐term," concluded the research team who tested this theory.

"However, based on the thresholds for minimal important differences that we used, these benefits were of uncertain clinical importance," the team added in its report published previously in the Cochrane Library.

The review casts a slight shadow on what has been considered an integral part of therapy for knee pain.

Movement is an essential part of an osteoarthritis treatment plan," the Arthritis Foundation says on its website, recommending that people take part in  strength training, stretching, aerobics, and balance exercises.

For the new review, the team evaluated data from 139 prior clinical trials involving nearly 12,500 participants that occurred up through early Jan. 2024.

On a 100-point scale, exercise for knee arthritis improved:

• Pain by 8.7 to 13.1 points
• Physical function by 9.7 to 12.5 points
• Quality of life by 4.2 to 6.1 points

But while those were significant improvements, they did not always meet established scores for making a minimal important difference in a patient's life, researchers noted.

part 1

For exercise to have a meaningful contribution, pain would need to improve by 12 points, physical function by 13 points, and quality of life by 15 points.

"The benefits were of uncertain clinical importance, meaning that they may not result in a change in symptoms that makes a noticeable difference to patients," the research team wrote.

The review team also noted that many of the studies in their review included small groups or were not well-designed.

"Many studies are of poor quality with small sample sizes," the researchers wrote. "Therefore, some studies may have made the benefits of exercise seem greater than they are."

What?!

Belinda J Lawford et al. Exercise for osteoarthritis of the knee, Cochrane Database of Systematic Reviews (2024). DOI: 10.1002/14651858.CD004376.pub4

Part 2

Ocean temperatures hit record highs in 2024, study finds

A study published in Advances in Atmospheric Sciences has found that ocean warming in 2024 has led to new record high temperatures. The ocean is the hottest it has ever been recorded by humans, not only at the surface temperature but also for the upper 2000 meters.

A team of 54 scientists from seven countries had discussed in the paper how a hotter ocean affects our lives on land and what this means for our future.

The ocean is a critical part of the Earth's climate—most of the excess heat from global warming is stored in the ocean (90%) and the ocean covers 70% of the Earth's surface. Because of this, the ocean dictates our weather patterns by transferring heat and moisture into the atmosphere. The ocean also controls how fast climate change happens.

To know what is happening to the climate, the answer is in the ocean.

Results from three international teams who collaborated on this project were consistent—the ocean is warming, and 2024 was a record.

From 2023 to 2024, the global upper 2000 m ocean heat content increase is 16 zettajoules (10²¹ Joules), ~140 times the world's total electricity generation in 2023.

OHC has increased steadily by 15–20 ZJ over the past five years despite the La Niña and El Niño cycles.

The ocean surface temperature is also setting records. The surface temperature refers to temperatures just at the surface, where the ocean waters and atmosphere commute. Surface temperatures are important because they dictate how fast heat and moisture (humidity) can transfer from the ocean to the air and thus affect weather. The rise in surface temperatures since the late 1950s has been staggering.

The changes are not uniform; regional variations can be substantial. The Atlantic is warming along with the Mediterranean Sea, and across the mid-latitude Southern Ocean. While parts of the Northern Pacific Ocean have warmed very rapidly, other areas (the tropical region) have not, mostly due to the La Niña/El Niño cycle in that area. The heat has even accumulated near both the North and South Poles.

A warmer ocean affects marine life and results in huge damage in many ways. The main way the ocean continues to influence the climate is through accompanying increases in water vapor in the atmosphere that leads to the damaging increases in extremes in the hydrological cycle.

Water vapor is also a powerful greenhouse gas and increased heating leads to drying and risk of drought and wildfire. But it also fuels storms of all sorts and leads to risk of flooding. That includes hurricanes and typhoons.

The heat in the ocean is the best measurement for monitoring the changing climate. The ocean is our sentinel for planetary warming, acting as the major sink of surplus heat accumulating in the Earth's climate system as a result of anthropogenic emissions.

If there continues to be a failure to take action to slow climate change, the disruption, unprecedented change and its implications, costs and loss and damage will continue to increase, the scientists warn.

Sea Surface Temperatures and Deeper Water Temperatures Reached a New Record High in 2024, Advances in Atmospheric Sciences (2025). DOI: 10.1007/s00376-025-4541-3

Earth breaks yearly heat record and lurches past dangerous warming threshold

Earth recorded its hottest year ever in 2024, with such a big jump that the planet temporarily passed a major climate threshold, weather monitoring agencies announced this week. 

It's the first time in recorded history that the planet was above a hoped-for limit to warming for an entire year, according to measurements from four of the six teams. Scientists say if Earth stays above the threshold long-term, it will mean increased deaths, destruction, species loss and sea level rise from the extreme weather that accompanies warming.

And that would come on top of a year of deadly climate catastrophes— billions of -dollar disasters in 2024—and as 2025 begins with devastating wildfires raging across most parts of the developed world. 

Last year's global average temperature easily passed 2023's record heat and kept going. It surpassed the long-term warming limit of 1.5 degrees Celsius (2.7 degrees Fahrenheit ) since the late 1800s that was called for by the 2015 Paris climate pact.

The primary reason for these record temperatures is the accumulation of greenhouse gases in the atmosphere from the burning of coal, oil and gas.

As greenhouse gases continue to accumulate in the atmosphere, temperatures continue to increase, including in the ocean, sea levels continue to rise, and glaciers and ice sheets continue to melt.

And there's nothing to indicate that it won't continue unless the world realizes its mistakes.

By far the biggest contributor to record warming is the burning of fossil fuels, several scientists say. 

Climate-change-related alarm bells have been ringing almost constantly, which may be causing the public to become numb to the urgency, like police sirens in the cities. In the case of the climate, though, the alarms are getting louder, and the emergencies are now way beyond just temperature.

Source: News Agencies

Global temperatures passed critical 1.5°C milestone for the first time in 2024

The earth's climate experienced its hottest year in 2024. Extreme flooding in April killed hundreds of people in Pakistan and Afghanistan. A year-long drought has left Amazon river levels at an all-time low. And in Athens, Greece, the ancient Acropolis was closed in the afternoons to protect tourists from dangerous heat.

A new report from the EU's Copernicus Climate Change Service confirms that 2024 was the first year on record with a global average temperature exceeding 1.5°C above pre-industrial levels. All continents except Australasia and Antarctica experienced their hottest year on record, with 11 months of the year exceeding the 1.5°C level.

Global temperatures have been at record levels—and still rising—for several years now. The previous hottest year on record was 2023. All ten of the hottest years on record have fallen within the last decade. But this is the first time a calendar year has exceeded the 1.5°C threshold.

Study: 15.4% of 0- to 35-month-olds receive invalid vaccine dose

Overall, 15.4% of children aged 0 to 35 months receive an invalid vaccine dose, receiving a vaccine earlier or later than recommended, according to a study published online Jan. 10 in Pediatrics.

Researchers  analyzed provider-verified vaccination records from the 2011 to 2020 National Immunization Survey-Child to quantify the prevalence of invalid doses among  children aged 0 to 35 months.

Invalid doses are those provided outside the Advisory Committee on Immunization Practices for minimum and maximum ages of vaccination and minimum intervals between doses.

The researchers found that 22,209 of 161,187 children (weighted percent, 15.4%) had an invalid vaccine dose. Overall, 44.9% of children with a minimum age or minimum interval invalid dose received extra doses and completed the series. The highest prevalence of invalid doses was seen for the three-dose rotavirus (4.4%), with 3.1% having the first dose administered after the maximum age. From 2011 to 2020, there was a decrease seen in the percentage of children with an invalid dose (16.9 to 12.5%). The odds of an invalid dose were higher for children who moved across state lines versus those who did not (adjusted odds ratio, 1.5).

To reduce invalid vaccine administration overall, equity-based national and state investments in immunization information systems and clinical support tools that help providers make accurate recommendations are needed in all settings where children receive vaccinations," the authors write in their papers.

 Alexandria N. Albers et al, Invalid Vaccine Doses Among Children Aged 0 to 35 Months: 2011 to 2020, Pediatrics (2025). DOI: 10.1542/peds.2024-068341

David G Bundy, Vaccination Timing: Threading the Needle Between "Too Early" and "Too Late", Pediatrics (2025). DOI: 10.1542/peds.2024-068972

Microplastics Are Widespread in Popular Seafoods

In some parts of the world researchers have found particles from our waste and pollution swimming in the edible tissue of just about every fish and shellfish they collected.

Of the 182 individuals caught on the Oregon coast or sold in the state's markets, only two fish, a lingcod and a herring, had zero suspicious particles in their sampled slice of edible tissue.

The rest of the lot, including rockfish, lingcod, Chinook salmon, Pacific herring, Pacific lamprey, and pink shrimp, all contained 'anthropogenic particles', which included what are thought to be fibers of dyed cottons, cellulose from paper and cardboard, and microscopic pieces of plastic.

This has wide implications for other organisms, potentially including humans too.

Scientists have recently noticed that humans who eat more seafood tend to host more microplastics in their own bodies, especially those who consume bivalves like oysters or mussels.

How long those plastics stick around in the body and what they are doing to human health is unknown and demands urgent research.

The researchers are not arguing that people should stop eating seafood altogether, but it's important that consumers and scientists understand the level of exposure.

At this point, human-generated particles of paint, soot, and microplastics are so ubiquitous as to be inescapable. These pollutants now exist in the air, water, and in many meals other than seafood.

If we are disposing of and utilizing products that release microplastics, those microplastics make their way into the environment, and are taken up by things we eat.

https://www.frontiersin.org/journals/toxicology/articles/10.3389/ft...

Antarctic ice melt may fuel eruptions of hidden volcanoes

A slow climate feedback loop may be bubbling beneath Antarctica's vast ice sheet. The continent, divided east to west by the Transantarctic Mountains, includes volcanic giants such as Mount Erebus and its iconic lava lake. But at least 100 less conspicuous volcanoes dot Antarctica, with many clustered along its western coast. Some of those volcanoes peak above the surface, but others sit several kilometers beneath the Antarctic Ice Sheet.

Climate change is causing the ice sheet to melt, raising global sea levels. The melting is also removing the weight over the rocks below, with more local consequences. Ice sheet melt has been shown to increase volcanic activity in subglacial volcanoes elsewhere on the globe.

Researchers ran 4,000 computer simulations to study how ice sheet loss affects Antarctica's buried volcanoes, and they found that gradual melt could increase the number and size of subglacial eruptions. The findings are published in the journal Geochemistry, Geophysics, Geosystems.

The reason is that this unloading of ice sheets reduces pressure on magma chambers below the surface, causing the compressed magma to expand. This expansion increases pressure on magma chamber walls and can lead to eruptions.

Some magma chambers also hold copious amounts of volatile gases, which are normally dissolved into the magma. As the magma cools and when overburden pressure reduces, those gases rush out of solution like carbonation out of a newly opened bottle of soda, increasing the pressure in the magma chamber. This pressure means that melting ice can expedite the onset of an eruption from a subglacial volcano.

Eruptions of subglacial volcanoes may not be visible on the surface, but they can have consequences for the ice sheet. Heat from these eruptions can increase ice melting deep below the surface and weaken the overlying ice sheet—potentially leading to a feedback loop of reduced pressure from the surface and further volcanic eruptions.

The authors stress that this process is slow, taking place over hundreds of years. But that means the theorized feedback could continue even if the world curtails anthropogenic warming.

 A. N. Coonin et al, Magma Chamber Response to Ice Unloading: Applications to Volcanism in the West Antarctic Rift System, Geochemistry, Geophysics, Geosystems (2024). DOI: 10.1029/2024GC011743

Increased AI use linked to eroding critical thinking skills

As it is most people don't think critically. Now the other small percentage of people who do are also under the danger of losing their skills if they use too much of AI. 

A new study has found that increased reliance on artificial intelligence (AI) tools is linked to diminished critical thinking abilities. It points to cognitive offloading as a primary driver of the decline.

AI's influence is growing fast. A quick search of AI-related science stories reveals how fundamental a tool it has become. Thousands of AI-assisted, AI-supported and AI-driven analyses and decision-making tools help scientists improve their research.

AI has also become more integrated into daily activities, from virtual assistants to complex information and decision support. Increased usage is beginning to influence how people think, especially impactful among younger people, who are avid users of the technology in their personal lives.

An attractive aspect of AI tools is cognitive offloading, where individuals rely on the tools to reduce mental effort. As the technology is both very new and rapidly being adopted in unforeseeable ways, questions arise about its potential long-term impacts on cognitive functions like memory, attention, and problem-solving under prolonged periods or volume of cognitive offloading taking place.

In the study "AI Tools in Society: Impacts on Cognitive Offloading and the Future of Critical Thinking," published in Societies, researchers investigate whether AI tool usage correlates with critical thinking scores and explores how cognitive offloading mediates this relationship.

Part 1

A mix of quantitative surveys and qualitative interviews was used with 666 participants in the United Kingdom. They were distributed across three age groups (17–25, 26–45, 46 and older) and had varying educational backgrounds.

Quantitative data collection involved a 23-item questionnaire measuring AI tool usage, cognitive offloading tendencies, and critical thinking skills, utilizing scales like the Halpern Critical Thinking Assessment (HCTA). ANOVA, correlation, multiple regression, and random forest regression analyses provided statistical insights. Qualitative data from semi-structured interviews with 50 participants underwent thematic analysis for contextual depth.

Statistical analyses demonstrated a significant negative correlation between AI tool usage and critical thinking scores (r = -0.68, p < 0.001). Frequent AI users exhibited diminished ability to critically evaluate information and engage in reflective problem-solving.

Cognitive offloading was strongly correlated with AI tool usage (r = +0.72) and inversely related to critical thinking (r = -0.75). Mediation analysis revealed that cognitive offloading partially explains the negative relationship between AI reliance and critical thinking performance.

Younger participants (17–25) showed higher dependence on AI tools and lower critical thinking scores compared to older age groups. Advanced educational attainment correlated positively with critical thinking skills, suggesting that education mitigates some cognitive impacts of AI reliance.

Random forest regression (R² = 0.37) and multiple regression analyses highlighted diminishing returns on critical thinking with increasing AI usage, emphasizing a threshold beyond which cognitive engagement significantly declines.

Three themes emerged from the qualitative interviews. Many participants acknowledged heavy reliance on AI for tasks like memory and decision-making, with younger users particularly affected. Respondents expressed concerns about losing critical thinking skills due to the habitual use of AI tools. Issues such as algorithmic bias and lack of transparency in AI recommendations were frequently mentioned.

The study's findings, if replicated, could have significant implications for educational policy and the integration of AI in professional settings. Schools and universities might want to emphasize critical thinking exercises and metacognitive skill development to counterbalance AI reliance and cognitive effects.

Developers of AI systems might consider cognitive implications, ensuring their tools encourage a level of engagement rather than passive reliance.

 Michael Gerlich, AI Tools in Society: Impacts on Cognitive Offloading and the Future of Critical Thinking, Societies (2025). DOI: 10.3390/soc15010006

Part 2

Vascular 'fingerprint' at the back of the eye can accurately predict stroke risk

A vascular 'fingerprint' on the light sensitive tissue layer at the back of the eye—the retina—can predict a person's risk of stroke as accurately as traditional risk factors alone, but without the need for multiple invasive lab tests, finds research published online in the journal Heart.

The fingerprint, comprising 29 indicators of vascular health, is a practical and readily implementable approach that is particularly well suited for primary health care and low-resource settings, conclude the researchers.

Stroke affects around 100 million people around the globe and kills 6.7 million of them every year, point out the researchers. Most cases are caused by modifiable risk factors, such as high blood pressure, high cholesterol, poor diet, and smoking.

The retina's intricate vascular network is known to share common anatomical and physiological features with the vasculature of the brain, making it an ideal candidate for assessing damage from systemic ill health, such as diabetes, explain the researchers.

Its potential for stroke risk prediction hasn't been fully explored, due to variable study findings and inconsistent use of the specialized imaging technique for the back of the eye—fundus photography—they add.

But machine learning (AI), such as the Retina-based Microvascular Health Assessment System (RMHAS), has opened up the possibilities for the identification of biological markers that can accurately predict stroke risk without the need for invasive lab tests, say the researchers.

To explore this further, they measured 30 indicators across five categories of retinal vascular architecture in fundus images from 68,753 UK Biobank study participants.

The five categories included caliber (length, diameter, ratio) density, twistedness, branching angle and complexity of the veins and arteries.

And they accounted for potentially influential risk factors: background demographic and socioeconomic factors; lifestyle; and health parameters, including blood pressure, cholesterol, HbA1c (blood glucose indicator), and weight (BMI).

The final analysis included 45,161 participants (average age 55). During an average monitoring period of 12.5 years, 749 participants had a stroke.

These people tended to be significantly older, male, current smokers, and to have diabetes. They also weighed more, had higher blood pressure, and lower levels of 'good' cholesterol, all of which are known risk factors for stroke.

In all, 118 retinal vascular measurable indicators were included, of which 29 were significantly associated with first time stroke risk after adjusting for traditional risk factors. Over half (17) were density indicators; eight fell into the complexity category; three were caliber indicators; and one came under the twistedness category.

Each change in density indicators was associated with an increased stroke risk of 10–19%, while similar changes in caliber indicators were associated with an increased risk of 10–14%.

Each decrease in the complexity and twistedness indicators was associated with an increased risk of 10.5-19.5%.

This retinal 'vascular fingerprint,' even when combined with just age and sex, was as good as the use of traditional risk factors alone for predicting future stroke risk, the findings showed.

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This is an observational study, and therefore no firm conclusions can be drawn about cause and effect. And the researchers acknowledge that the findings may not apply to diverse ethnicities as most of the UK Biobank's participants are white. Nor were they able to assess the risk associated with different types of stroke.
Nevertheless, they conclude, "Given that age and sex are readily available, and retinal parameters can be obtained through routine fundus photography, this model presents a practical and easily implementable approach for incident stroke risk assessment, particularly for primary health care and low-resource settings."

Retinal vascular fingerprints predict incident stroke: findings from the UK Biobank cohort study, Heart (2025). DOI: 10.1136/heartjnl-2024-324705

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Microscopic robots that swim towards chemical signals offer precise drug delivery solutions

Imagine microscopic robots that can navigate the body, delivering medicine precisely to damaged tissues while avoiding side effects. Researchers have discovered a new breakthrough that brings this vision closer to reality.

The research, published in the journal Soft Matter, demonstrates how specially designed microscopic robots, known as Janus particles, can detect and navigate towards chemical signals, much like bacteria-sensing food.

When placed near a chemical-releasing patch, the particles can automatically "swim" toward it and maintain a stable hovering position directly above it. Drug-carrying particles could automatically locate and hover over infected or damaged tissue that releases specific chemical signals, delivering medication precisely where needed.

Elongated particles, shaped like microscopic rods, proved more effective at maintaining their position compared to spherical ones, which tended to drift away over time.

This research brings us closer to having 'smart' microscopic devices that can deliver medicine exactly where it's needed in the body, much like having a tiny, precise delivery service at the cellular level. Instead of flooding the whole body with medication, which can cause side effects, these microscopic robots could 'swim' directly to the problem area—whether it's an infection, tumor or injury—and deliver treatment right at that spot.

Viviana Mancuso et al, Chemotactic behavior for a self-phoretic Janus particle near a patch source of fuel, Soft Matter (2024). DOI: 10.1039/D4SM00733F

Your gut bacteria are in a chemical tug-of-war with your body

Our gut is a bustling hub of activity, home to trillions of microbes that work together with our bodies to keep us healthy. A recent study explores one fascinating aspect of this partnership: how gut bacteria team up with the host body to regulate bile acids, essential molecules that control digestion, cholesterol levels, and fat metabolism.

Bile acids are produced in the liver and help digest fats. 

But it now has become clear that they're more than just digestive aids; they act as signaling molecules, regulating cholesterol levels, fat metabolism, and more. They do all this by binding to a receptor called FXR, which acts like a traffic light, controlling cholesterol metabolism and bile acid production to avoid excess buildup.

Here's where the microbes come in: gut bacteria can modify bile acids to completely change their activity. Bacteria can turn bile acids into forms that strongly activate FXR, signaling the body to slow down bile production and modify other aspects of fat metabolism. Scientists have long wondered how the body counteracts this microbial chokehold on metabolism.

In the study, researchers identified a clever trick the body uses to keep the microbial influence in check (the study used mice as a model). They found that in the intestines, the body further modifies the microbial bile acids into a new family of derivatives, called BA-MCYs, using an enzyme named VNN1. Unlike the forms made by gut bacteria, these BA-MCYs act as FXR antagonists—essentially flipping the "off switch" on FXR. This encourages bile production rather than limiting it.

This balancing act is crucial. When gut bacteria produce lots of bile acids that strongly activate FXR, the body pushes back by making BA-MCYs, ensuring the bile acid system stays finely tuned. This interplay highlights how gut microbes interact with the host body in a dynamic, give-and-take relationship. Importantly, BA-MCYs were also detected in human blood samples, indicating that the same mechanism also operates in people.

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The findings have exciting implications for health and disease. The researchers discovered that boosting BA-MCY levels in mice helped reduce fat accumulation in the liver, suggesting a potential treatment for conditions like fatty liver disease or high cholesterol. Moreover, dietary interventions such as increasing fiber intake enhanced BA-MCY production, hinting at the role of diet in managing this system.
This study reveals there is a dialogue occurring between the gut microbes and the body that is vital for regulating bile acid production.

Tae Hyung Won et al, Host metabolism balances microbial regulation of bile acid signalling, Nature (2025). DOI: 10.1038/s41586-024-08379-9

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Beach guardians: How hidden microbes protect coastal waters in a changing climate

A hidden world teeming with life lies below beach sands. New research sheds light on how microbial communities in coastal groundwater respond to infiltrating seawater.

The study, published in Environmental Microbiology, reveals the diversity of microbial life inhabiting these critical ecosystems and what might happen if they are inundated by rising seas.

Beaches can act as a filter between land and sea, processing groundwater and associated chemicals before they reach the ocean. Understanding how these ecosystems function is key to safeguarding their services in the face of sea level rise.

Microbial communities living in groundwater within beach sand play a crucial role in maintaining coastal water quality. These microbes help break down chemicals, including excess nutrients like nitrogen, which can come from natural sources, such as decomposing plant matter, or human sources, like agricultural runoff and wastewater.

The researchers found that the microbial communities remained relatively stable over changing tidal conditions and seasons. However, a wave overtopping event—when seawater surged into the aquifer due to high-energy waves—caused significant changes in the microbial makeup. Such disturbances are expected to become more frequent with rising sea levels and storm surges, making it harder for the microbes to do their water purification work.

These microbes live in complex communities, many with specialized roles that include processing nutrients and even producing or consuming greenhouse gases.

The microbial community's resilience under typical conditions is encouraging, but disturbances like wave overtopping highlight their vulnerability to climate change.

The study's findings establish a critical baseline for understanding how subterranean estuaries function and respond to environmental changes. As sea levels rise, beach sands will be forced inland or erode, altering groundwater hydrology, chemistry, and microbial composition.

The research adds a crucial piece to the puzzle of coastal resilience. By highlighting the interplay between microbial dynamics and physical processes like wave action, the study brings into question impending changes to coastal groundwater. Policymakers and coastal planners should consider the role of these hidden ecosystems when designing strategies to manage sea level rise, according to the researchers.

We rely on these microbial communities for essential biogeochemical cycling at the land-sea interface. If their capacity diminishes due to climate impacts, we could see cascading effects on coastal water quality and marine life.

 Jessica A. Bullington et al, Microbial Community of a Sandy Beach Subterranean Estuary is Spatially Heterogeneous and Impacted by Winter Waves, Environmental Microbiology (2024). DOI: 10.1111/1462-2920.70009

Solar panels should not be cleaned with dishwashing detergent

A study conducted at the University of Turku, Finland, investigated how household cleaning products affect the ability of solar panel glass to transmit light. The results of the study were presented at the 41st European Photovoltaic Solar Energy Conference and Exhibition and in the conference proceedings.

For solar panels to work optimally, it is essential that they can absorb as much of the incoming solar radiation as possible. Soiling and, on the other hand, damage to the solar panel glass will reduce the panel's ability to absorb radiation.

A research team at the University of Turku in Finland investigated the best way to clean solar panels so that solar radiation would penetrate the panels as well as possible.

Most cleaning agents, such as glass cleaner and isopropanol, proved suitable for cleaning the studied solar panel glass.

The exception was dishwashing detergent and the results suggest that it should not be used when cleaning solar panels. Even dirty glass transmitted more light than glass cleaned with dishwashing detergent.

Solar cell surfaces are usually made of glass, but typically have an anti-reflection coating and it is important to avoid damaging it. 

The study found that the optical properties of the studied anti-reflective coating on solar panel glass did not deteriorate as a result of chemical cleaning—except when dishwashing detergent was used.

It is unlikely that dishwashing detergent damages the glass. However, rinsing does not seem to be sufficient, as the transmittance of the solar panel glass cleaned with detergent did not return to the pre-cleaning level after the rinsing.

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