Single mutation in H5N1 influenza surface protein could enable easier human infection

A single modification in the protein found on the surface of the highly pathogenic avian influenza (HPAI) H5N1 influenza virus currently circulating in U.S. dairy cows could allow for easier transmission among humans, according to new research funded by the National Institutes of Health (NIH) and published today in the journal Science. The study results reinforce the need for continued, vigilant surveillance and monitoring of HPAI H5N1 for potential genetic changes that could make the virus more transmissible in humans.

Current strains of the bovine (cow) H5N1 virus are not known to be transmissible among people; however, infections have occurred in people exposed to infected wild birds, poultry, dairy cows and other mammals. As part of pandemic preparedness efforts, researchers have monitored the H5N1 virus for years to understand viral genetic mutations that occur in nature and what impact they may have on transmissibility.

Influenza viruses attach to cells with a surface viral protein called hemagglutinin (HA). The HA latches on to sugar (glycan) molecule receptors on cells to cause infection. Avian (bird) influenza viruses — like H5N1 — have not infected people often because the human upper respiratory tract lacks the avian-type cell receptors found in birds. Scientists are concerned that viruses could evolve to recognize human-type cell receptors in the upper airways and acquire the ability to infect people and spread between them.

Scientists at Scripps Research used the H5N1 strain isolated from the first U.S. human infection with the bovine strain 2.3.4.4b (A/Texas/37/2024) to test how mutations in the HA gene sequence affected the binding of that protein with avian versus human-type cell receptors. The researchers introduced several mutations into the viral HA protein that had been observed to occur naturally in the past and found that one mutation, called Q226L, improved the ability of the protein to attach to receptors typically found on human cells, especially when an additional mutation was present. Importantly, the researchers introduced the genetic mutations only into the HA surface protein and did not create or conduct experiments with a whole, infectious virus.

The experimental finding with the Q226L mutation alone does not mean HPAI H5N1 is on the verge of causing a widespread pandemic, the authors note. Other genetic mutations would likely be required for the virus to transmit among people. In the setting of a growing number of H5N1 human cases resulting from direct contact with infected animals, the findings stress the importance of continued efforts at outbreak control and continued genomic surveillance to monitor for the emergence of HPAI H5N1 genetic changes and maintain public health preparedness.

The research was funded in part by NIH’s National Institute of Allergy and Infectious Diseases (NIAID), through its Centers of Excellence for Influenza Research and Response program.

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Neem seed extract improves effectiveness of pesticide

Pesticides can be made more effective and environmentally friendly by improving how they stick to plant surfaces, thanks to new research led by Dr. Mustafa Akbulut, professor of chemical engineering at Texas A&M University.

Akbulut and his research group have developed an innovative pesticide delivery system called nanopesticides. These tiny technologies, developed through a collaboration between Texas A&M University’s engineering and agricultural colleges, Dr. Luis Cisneros-Zevallo, professor of Horticultural Science and Dr. Younjin Min, professor of Chemical Environ Engineering at University of California, Riverside, could change how we use pesticides.

“The U.S. is a world leader in agricultural production, feeding not just our nation but much of the world. Yet we are using pesticides in a way that is simply not sustainable — with a substantial fraction not reaching its intended target,” said Akbulut. “Our research shows that by optimizing the surface chemistry of pesticide carriers, we can make these essential crop protection tools more efficient.”

The team studied different types of nanopesticide carriers, testing their “stickiness” to pepper leaves, a representative model for many important crops. They discovered that the carrier’s surface chemistry plays an important role in how well the nanopesticide adheres to the plant.

Nanopesticides encapsulate the active pesticide ingredients within microscopic carriers. Think of it like delivering a targeted package directly to the pest, minimizing collateral damage. This research focused on understanding how these nanopesticides interact with plant surfaces, a crucial step in maximizing their effectiveness.

Pesticides are essential for protecting crops from pests and diseases, and without them, we would lose a huge portion of our harvests — up to 70-80% of fruits, 40-50% of vegetables, and 20-30% of cereals.

However, current pesticide application methods are incredibly inefficient. More than 80-90% of sprayed pesticides miss their target entirely, ending up in the environment where they can cause harm. This waste is not only bad for the planet, but it is also economically unsustainable.

This compound, which Akbulut and Yashwanth Arcot, Ph.D candidate discuss in their paper published in Surfaces and Interfaces Journal, is a mixture of Ethyl Lauroyl Arginate (ELA), a food preservative compound, and neem seed extract.

Arcot’s interest in the research focuses on nanopesticide chemistry to ensure a higher targeting ability and the strong correlation between the nanopesticide carrier and its adsorption behavior.

Akbulut believes that by using nanopesticide, he can increase the efficacy by better targeting the plant surface. Akbulut and his team aim to achieve this by taking various pesticides and modifying their interfacial properties using carriers that are best suited to interact with the plant surface characteristics.

Overall, the goal of the research is to find a way for more efficient and environmentally friendly pesticide formulations that are sustainable for agricultural practices and global food security.

“This study addresses a critical challenge in sustainable agriculture by optimizing nanopesticide systems to enhance efficacy, reduce environmental pollution, and minimize impacts on non-target organisms and human health,” Arcot said.

Neem seed is a naturally occurring pesticide that comes from the seeds of the neem tree and is used to control pests and diseases on crops. The extract from a neem seed tree grows mostly in India but is organic pesticide management.

“Organic pesticides use this formulation, and we also use this molecule in the center. Although the carriers are different, the active ingredient inhibits or inactivates the pest.”

According to the paper, among various types of pesticides, nanopesticides have shown to be an advanced crop protection strategy that relies on agricultural technology, nanotechnology, and materials chemistry.

Akbulut said this discovery has profound implications for the future of agriculture. By tailoring the surface chemistry of nanopesticides, scientists can optimize their effectiveness, ensuring that more of the pesticide reaches the target pest and less ends up polluting the environment.

“For farmers or industry who are using the pesticides, they will clearly understand the value of this research,” Akbulut said. “Pesticides, in general, are considered bad for the environment, using neem seed extract ensures crop survival from pests and is non-toxic for consumption.”

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MRI could be key to understanding the impact a gluten free diet has on people with Celiac disease

Experts have used magnetic resonance imaging (MRI) to better understand the impact a gluten free diet has on people with coeliac disease, which could be the first step towards finding new ways of treating the condition.

The MARCO study — MAgnetic Resonance Imaging in COliac disease — which is published in Clinical Gastroenterology and Hepatology (CGH), was led by experts from the School of Medicine at the University of Nottingham, alongside colleagues at the Quadram Institute.

Coeliac disease is a chronic condition affecting around one person in every 100 in the general population. When people with coeliac disease eat gluten, which is found in pasta and bread, their immune system produces an abnormal reaction that inflames and damages the gut tissue and causes symptoms such as abdominal pain and bloating.

The only treatment is a life- long commitment to a gluten free diet, which helps recovery of the gut tissue but still leaves many patients with gastrointestinal symptoms.

Luca Marciani, Professor of Gastrointestinal Imaging at the University, led the study. He said: “Despite being a common chronic condition, we still don’t precisely know how coeliac disease affects the basic physiological functioning of the gut and how the gluten free diet treatment may further change this.

“We launched the MARCO study to try and address this issue, by using MRI along with gut microbiome analysis to give us new insights into how a gluten-free diet affects people with coeliac disease.”

The team recruited 36 people who had just been diagnosed with coeliac disease and 36 healthy volunteers to participate in the study. Images were taken of their guts with MRI, along with blood and stool samples. The patients then followed a gluten free diet for one year and came back to repeat the study. The healthy participants came back one year later too and repeated the study, but they did not follow any diet treatment.

The study found that the newly diagnosed patients with coeliac disease had more gut symptoms, more fluid in the small bowel and that the transit of food in the bowel was slower than in the healthy controls.

The microbiota (the ‘bugs’ living in the colon) of the patients showed higher levels of ‘bad bugs’ such as E.coli. After one year of a gluten free diet, gut symptoms, bowel water and gut transit improved in the patients, but without returning to normal values. By contrast, the gluten free diet reduced some of the ‘good bugs’ in the microbiota, such as Bifidobacteria associated with reduced intake of starch and wheat nutrients, due to the different diet.

The patient study was conducted by Radiographer Dr Carolyn Costigan, from Nottingham University Hospitals, as part of her PhD studies at the University of Nottingham.

Professor Marciani said: “It was particularly interesting to see how the imaging results on gut function correlated with changes in the ‘bugs’ in the colon microbiota. The findings increase our understanding of gut function and physiology in coeliac disease and open the possibility of developing prebiotic treatments to reverse the negative impact of the gluten free diet on the microbiome.”

Dr Frederick Warren from the Quadram Institute said: “This study is the result of an exciting and innovative research collaboration bringing together medical imaging technology and gut microbiome analysis. We provide important insights which pave the way for future studies which may identify novel approaches to alleviate long-term symptoms in coeliac patients.”

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Hybrid theory offers new way to model disturbed complex systems

In fields ranging from immunology and ecology to economics and thermodynamics, multi-scale complex systems are ubiquitous. They are also notoriously difficult to model. Conventional approaches take either a bottom-up or top-down approach. But in disturbed systems, such as a post-fire forest ecosystem or a society in a pandemic, these unidirectional models can’t capture the interactions between the small-scale behaviors and the system-level properties. SFI External Professor John Harte (UC Berkeley) and his collaborators have worked to resolve this challenge by building a hybrid method that links bottom-up behaviors and top-down causation in a single theory.

Harte et al’s paper in PNAS, published on December 6, outlines their approach and provides four pared-down examples where it could be applied.

“Over the past 14 years, we have written a series of papers showing that in ecology, this top-down approach is very powerful and reveals patterns in ecosystems,” says Harte. “It accurately predicts ecological patterns such as the species-area relationship (how diversity increases with plot area) and the distribution of abundances and body sizes of species. But six years ago, we discovered that when an ecosystem is heavily disturbed — and as a result, the system-level properties are in flux — then the top-down approach fails miserably.” And so, Harte and his colleagues set out to develop a theory that could describe both the system-level dynamics and the probability distributions that characterize the system components for complex systems in flux.

Disturbances and the two-way feedback they can cause show up in many types of systems. In the case of a pandemic, conventional bottom-up Susceptible-Infected-Recovered (SIR) equations help measure the probability that an individual could get sick through proximity to an infected person. What this approach doesn’t capture, though, is the interplay between the micro and macro scales. As cases of the disease rise at the macro level, individuals might take notice and change their behaviors, causing case levels to fall.

Similarly, in an economy, the decisions individuals make on whether or not to take a job or make a purchase are influenced by system-level properties like GNP growth and inflation rates. Meanwhile, consumer spending is a driving factor in the economy and can impact economic growth or decline.

In 2021, Harte and colleagues first presented their new approach in the journal Ecology Letters with their paper “DynaMETE: a hybrid MaxEnt-plus-mechanism theory of dynamic macroecology.” Testing their theory against data from a heavily disturbed forest in Panama, the team showed that their hybrid model could explain changes in species distribution. Now, the authors generalize their model for possible application in other scenarios.

“This model allows us to calculate things that haven’t been calculable before,” says Harte. “In these bi-level systems, when there’s both top-down and bottom-up influence, how do you calculate, when the system is disturbed, how the system and the individuals will respond over time? There was not an adequate theory before. This theory allows us to predict the trajectory of the system-level variables and the probability distribution of individual parts in that system.”

Harte proposes a test of the theory in a combustion tank — a simple thermodynamic system — and says other tests are needed. “The biggest insight here was realizing the importance of the question. We think this theory is good, but it may not be right. It’s still got to be tested across many types of systems.”

In nonequilibrium thermodynamics such as the proposed combustion tank experiment, predicting the probability distribution of molecular kinetic energies has been a frontier issue. “It has resisted calculation,” says Harte.

The hybrid theory offers a new way to study dynamics, whether in controlled lab settings or in some of the most tantalizing and critical problems facing humanity, from climate change and pandemics to economic volatility.

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Researchers innovate scalable robotic fibers with light-emitting, self-healing and magnetic properties

A team of interdisciplinary scientists from the Department of Materials Science and Engineering under the College of Design and Engineering at the National University of Singapore (NUS) has developed flexible fibres with self-healing, light-emitting and magnetic properties.

The Scalable Hydrogel-clad Ionotronic Nickel-core Electroluminescent (SHINE) fibre is bendable, emits highly visible light, and can automatically repair itself after being cut, regaining nearly 100 per cent of its original brightness. In addition, the fibre can be powered wirelessly and manipulated physically using magnetic forces.

With multiple useful features incorporated into a single device, the fibre finds potential applications as light-emitting soft robotic fibres and interactive displays. It can also be woven into smart textiles.

“Most digital information today is transmitted largely through light-emissive devices. We are very interested in developing sustainable materials that can emit light and explore new form factors, such as fibres, that could extend application scenarios, for example, smart textiles. One way to engineer sustainable light-emitting devices is to make them self-healable, just like biological tissues such as skin,” said Associate Professor Benjamin Tee, the lead researcher for this study.

The team’s research, conducted in collaboration with the Institute for Health Innovation & Technology (iHealthtech) at NUS, was published in Nature Communications on 3 December 2024.

Multifunctional innovation in a single device

Light-emitting fibres have become an area of burgeoning interest owing to their potential to complement existing technologies in multiple domains, including soft robotics, wearable electronics and smart textiles. For instance, providing functionalities like dynamic lighting, interactive displays and optical signalling, all while offering flexibility and adaptability, could improve human-robot interactions by making them more responsive and intuitive.

However, the use of such fibres is often limited by physical fragility and the difficulty of integrating multiple features into one single device without adding complexity or increasing energy demands.

The NUS research team’s SHINE fibre addresses these challenges by combining light emission, self-healing and magnetic actuation in a single, scalable device. In contrast to existing light-emitting fibres on the market, which cannot self-repair after damage or be physically manipulated, the SHINE fibre offers a more efficient, durable and versatile alternative.

The fibre is based on a coaxial design combining a nickel core for magnetic responsiveness, a zinc sulphide-based electroluminescent layer for light emission and a hydrogel electrode for transparency. Using a scalable ion-induced gelation process, the team fabricated fibres up to 5.5 metres long that retained functionality even after nearly a year of open-air storage.

“To ensure clear visibility in bright indoor lighting conditions, a luminance of at least 300 to 500 cd/m2 is typically recommended,” said Assoc Prof Tee. “Our SHINE fibre has a record luminance of 1068 cd/m2, comfortably exceeding the threshold, making it highly visible even in well-lit indoor environments.”

The fibre’s hydrogel layer self-heals through chemical bond reformation under ambient conditions, while the nickel core and electroluminescent layer restore structural and functional integrity through heat-induced dipole interactions at 50 degrees Celsius.

“More importantly, the recovery process restores over 98 per cent of the fibre’s original brightness, ensuring it can endure mechanical stresses post-repair,” added Assoc Prof Tee. “This capability supports the reuse of damaged and subsequently self-repaired fibres, making the invention much more sustainable in the long term.”

The SHINE fibre also features magnetic actuation enabled by its nickel core. This property allows the fibre to be manipulated with external magnets. “This is an interesting property as it enables applications like light-emitting soft robotic fibres capable of manoeuvring tight spaces, performing complicated motions and signalling optically in real-time,” said Dr Fu Xuemei, the first author of the paper.

Unravelling new human-robot interactions

The SHINE fibre can be knitted or woven into smart textiles that emit light and easily self-heal after being cut, adding an element of durability and functionality to wearable technology. With its intrinsic magnetic actuation, the fibre itself can also function as a soft robot, capable of emitting light, self-healing, navigating confined spaces and signalling optically even after being completely severed. Additionally, the fibre can be used in interactive displays, where its magnetism allows for dynamic pattern changes that facilitate optical interaction and signalling in the dark.

Looking ahead, the team plans to refine the precision of the fibre’s magnetic actuation to support more dexterous robotic applications. They are also exploring the possibility of weaving sensing capabilities — such as the ability to detect temperature and humidity — into light-emitting textiles made entirely from SHINE fibres.

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Brain op failings made patients’ lives ‘hell’

Patients speak out as a leaked report reveals many were failed over several years.

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Reports on disgraced child surgeon a ‘whitewash’, families say

Families of children operated on by Yaser Jabbar say independent reports into their care are a “whitewash”.

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Weight-loss drug Mounjaro ‘changed my life,’ says mother-of-two

People struggling with their weight welcome the NHS rollout of Mounjaro but worry about delays.

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DNA of 1,000 year-old maize sheds light on origins of globally important food crop

Researchers have tested ancient DNA from corn found at archaeological sites in Arkansas, shedding new light on the dispersal of one of the world’s most important food crops.

By reconstructing the genomes of archaeological maize cobs and kernels, the study, by researchers at the University of York and the University of Copenhagen, revealed that 1,000-year-old maize from rockshelters in the Ozark region of Arkansas, US, shares a close genetic link with modern Northern Flint varieties.

These hardy varieties are cold-adapted and are the ancestors for commercially important maize grown around the world. Researchers say that understanding its origins and journey through different geographical regions could help find new ways of sustaining and improving crops today, as pressures on global food supply increases and crop health is challenged by climate change. 

Researchers showed that maize underwent selection as it was transported from the US Southwest across the Great Plains, particularly through a gene, known as waxy1. Genetic variants in the waxy1 gene affect the stickiness and chewiness of maize, traits that are still valued in some traditional cuisines today.

This suggests that farmers 1,000 years ago were not just engaged in planting and harvesting, but in selecting traits that could help in breeding and producing the best quality yield for food, not too dissimilar to farmers today.

Dr Nathan Wales, from the University of York’s Department of Archaeology, said: “We know that maize was domesticated in Mexico, but it has long been debated what route it took to regions of the US to become what it is today – one of the most globally important food crops.

“We now have a clearer idea of the journey it took from Mexico, and we better appreciate how regional varieties can become more globally significant than varieties grown near the domestication centre. It is valuable information for crop breeders because they can chart the evolution of the crop, reintroduce any lost genetic diversity or develop new varieties, which could be vital to helping food shortages in the future.”

Ancient maize genomes from the Ozark rockshelters indicated that maize entered eastern North America at least twice, tracing ancestry to both the upland US Southwest and southern Texas.

Dr Jazmín Ramos-Madrigal, from the Globe Institute at the University of Copenhagen in Denmark, said: “We also showed that maize could only be introduced into eastern North America once humans bred local varieties with the genetic tools to cope with the challenging environment of the region, which goes someway to demonstrating the skills and knowledge of farmers 1,000 years ago.”

The study is published in the journal Cell.

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Astronomers witness the in situ spheroid formation in distant submillimetre-bright galaxies

An international team of researchers including The University of Tokyo Kavli Institute for the Physics and Mathematics of the Universe (Kavli IPMU, WPI) has found evidence showing that old elliptical galaxies in the universe can form from intense star formation within early galaxy cores. This discovery will deepen our understanding of how galaxies evolved from the early Universe, reports a new study in Nature.

Galaxies in today’s Universe are diverse in morphologies and can be roughly divided into two categories: younger, disk-like spiral galaxies, like our own Milky Way, that are still forming new stars; and older, elliptical galaxies, which are dominated by a central bulge, no longer forming stars and mostly lacking gas. These spheroidal galaxies contain very old stars, yet how they formed has remained a mystery — until now.

The discovery of the birth sites of giant, elliptical galaxies — announced in a paper published today in Nature — come from analyzing data from the Atacama Large Millimeter/submillimeter Array (ALMA) on over 100 Submillimeter Bright Galaxies (SMGs) with redshifts dating to the “Cosmic noon” era, when the universe was between around 1.6 and 5.9 billion years old and many galaxies were actively forming stars. This study provides the first solid observational evidence that spheroids can form directly through intense star formation within the cores of highly luminous starburst galaxies in the early Universe, based on a new perspective from the submillimeter band. This breakthrough will significantly impact models of galaxy evolution and deepen our understanding of how galaxies form and evolve across the Universe.

In this study, researchers led by Chinese Academy of Sciences Purple Mountain Observatory Associate Researcher Qinghua Tan, and including Kavli IPMU Professor John Silverman, Project Researcher Boris Kalita, and graduate student Zhaoxuan Liu, used statistical analysis of the surface brightness distribution of dust emission in the submillimeter band, combined with a novel analysis technique. They found that the submillimeter emission in most of sample galaxies are very compact, with surface brightness profiles deviating significantly from those of exponential disks. This suggests that the submillimeter emission typically comes from structures that are already spheroid-like. Further evidence for this spheroidal shape comes from a detailed analysis of galaxies’ 3D geometry. Modeling based on the skewed-high axis-ratio distribution shows that the ratio of the shortest to the longest of their three axes is, on average, half and increases with spatial compactness. This indicates that most of these highly star-forming galaxies are intrinsically spherical rather than disk-shaped. Supported by numerical simulations, this discovery has shown us that the main mechanism behind the formation of these tri-dimensional galaxies (spheroids) is the simultaneous action of cold gas accretion and galaxy interactions. This process is thought to have been quite common in the early Universe, during the period when most spheroids were forming. It could redefine how we understand galaxy formation.

This research was made possible thanks to the A3COSMOS and A3GOODSS archival projects, which enabled researchers to gather a large number of galaxies observed with a high enough signal-to-noise ratio for detailed analysis. Future exploration of the wealth of ALMA observations accumulated over the years, along with new submillimeter and millimeter observations with higher resolution and sensitivity, will allow us to systematically study the cold gas in galaxies. This will offer unprecedented insight into the distribution and kinematics of the raw materials fueling star formation. With the powerful capabilities of Euclid, the James Webb Space Telescope (JWST), and the China Space Station Telescope (CSST) to map the stellar components of galaxies, we will gain a more complete picture of early galaxy formation. Together, these insights will deepen our understanding of how the Universe as a whole has evolved over time.

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