Neutralizing antibodies for emerging viruses

Researchers at Sandia National Laboratories have created a platform for discovering, designing and engineering novel antibody countermeasures for emerging viruses. This new process of screening for nanobodies that “neutralize” or disable the virus represents a faster, more effective approach to developing nanobody therapies that prevent or treat viral infection.

Traditionally used to treat a variety of conditions, including cancer, autoimmune and inflammatory diseases, nanobodies are smaller components of conventional antibodies — a vital element of the body’s immune system that defends against disease-causing viruses or bacteria.

After screening a large, diverse library of synthetic nanobodies, Sandia researchers identified and evaluated several potent nanobodies that can protect against COVID-19. The scientists now aim to replicate this method to defend against current and future biological threats.

“The coronavirus pandemic has made evident the need for a broad range of preventive and therapeutic strategies to control diseases associated with novel viruses,” said Craig Tewell, director of Sandia’s Chemical, Biological, Radiological, and Nuclear Defense and Energy Technologies Center.

With a rich history of biodefense research, Sandia helps protect the nation and the world from threats presented by bioterrorism and naturally occurring diseases, Tewell said.

Scientists expose tumor-causing protein

The structure of the protein behind NF1 has been discovered.

Monash University scientists have discovered the structure of the protein behind neurofibromatosis type 1 (NF1), a common genetic condition that causes tumors to form on nerve tissue.

A collaboration between Monash Biomedicine Discovery Institute (BDI) and the Monash Institute of Pharmaceutical Sciences (MIPS) used cryogenic electron microscopy (cryo-EM) to take high-resolution pictures revealing the complex shape of the protein. The detailed pictures will help scientists better understand how the protein works, how it is changed by genetic mutation and could lead to new strategies for treatment.

The study was co-led by BDI’s Dr Andrew Ellisdon and Associate Professor Michelle Halls from MIPS and is now published in Nature Structural & Molecular Biology.

NF1 or Von Recklinghausen's disease is an extremely variable condition affecting one in 2500 Australians. Most people with it will never be impacted by major medical complications; for others, the condition can be debilitating and life-threatening. There is no known cure and treatment options are limited. People with NF1 have a higher risk of developing a number of cancers, and the protein itself is mutated in cancers in people who don’t have the condition.

Dr Ellisdon stated: “When we lose function in that protein it basically takes away a ‘stop’ signal for cell growth and we get the formations of tumors in the body.”

The gene for NF1 was discovered in 1990 by a group of US scientists but until now researchers had no idea what the protein looked like.

With Fuzzy Nanoparticles, Researchers Reveal a Way to Design Tougher Ballistic Materials

Researchers at NIST examined the toughness of films composed of silica nanoparticles coated in polymer chains using Laser-Induced Projectile Impact Testing, or LIPIT. With LIPIT, they propelled tiny projectiles toward the films and used a camera and strobe light to capture their position every 100 nanoseconds. The amount that the projectiles slowed down after piercing the films revealed the material's toughness. 
Credit: NIST

Researchers at the National Institute of Standards and Technology (NIST) and Columbia Engineering have discovered a new method to improve the toughness of materials that could lead to stronger versions of body armor, bulletproof glass and other ballistic equipment.

In a study published today in Soft Matter, the team produced films composed of nanometer-scale ceramic particles decorated with polymer strands (resembling fuzzy orbs) and made them targets in miniature impact tests that showed off the material’s enhanced toughness. Further tests unveiled a unique property not shared by typical polymer-based materials that allowed the films to dissipate energy from impacts rapidly.

“Because this material doesn't follow traditional concepts of toughening that you see in classical polymers, it opens up new ways to design materials for impact mitigation,” said NIST materials research engineer Edwin Chan, a co-author of the study.

The polymers that constitute most of the high-impact plastics today consist of linear chains of repeating synthetic molecules that either physically intertwine or form chemical bonds with each other, forming a highly entangled network. The same principle applies to most polymer composites, which are often strengthened or toughened by having some nonpolymer material mixed in. The films in the new study fall into this category but feature a unique design.

Challenging Einstein's Greatest Theory with Extreme Stars

Researchers have conducted a 16-year long experiment to challenge Einstein’s theory of general relativity. The international team looked to the stars - a pair of extreme stars called pulsars to be precise – through seven radio telescopes across the globe.
Credit: Max Planck Institute for Radio Astronomy

Scientific Frontline: "At a Glance" Summary

• Main Discovery: A 16-year international experiment utilizing a unique double pulsar system confirmed Einstein’s theory of general relativity with unprecedented precision, successfully validating seven distinct predictions including relativistic effects never previously observed.
• Methodology: Researchers employed seven sensitive radio telescopes globally to track the precise radio beams of two pulsars orbiting each other every 147 minutes, utilizing pulsar timing and interferometric measurements to map the system's intense gravitational field and distance (2,400 light-years).
• Key Statistics: The study tested the energy carried by gravitational waves with a precision 25 times greater than the Nobel Prize-winning Hulse-Taylor pulsar results and 1,000 times greater than current gravitational wave detectors, while measuring orbital orientation changes to an accuracy of one part in a million.
• Specific Mechanism: The team successfully detected the Lense-Thirring effect (frame-dragging), where the rotation of the pulsar drags the surrounding spacetime, and observed a specific light deflection angle of 0.04 degrees caused by the strong curvature of space.
• Significance: These findings represent the most rigorous test of gravity in strong-field conditions to date, confirming that general relativity holds firm even at extreme scales and setting a critical benchmark for future attempts to unify gravity with quantum mechanics.

Technique Speeds Up Thermal Actuation for Soft Robotics

Image Credit: Shuang Wu.

Researchers from North Carolina State University have come up with a new design for thermal actuators, which can be used to create rapid movement in soft robotic devices.

“Using thermal actuation is not new for soft robots, but the biggest challenge for soft thermal actuators was that they were relatively slow – and we’ve made them fast,” says Yong Zhu, corresponding author of the paper and the Andrew A. Adams Distinguished Professor of Mechanical and Aerospace Engineering at NC State.

Actuators are the parts of a device – such as a soft robot – that create motion by converting energy into work.

“What makes this new actuator design work is a structure with a bi-stable design,” says Shuang Wu, first author of the paper and a Ph.D. student at NC State. “Think of a snap hair clip. It’s stable until you apply a certain amount of energy (by bending it over), and then it snaps into a different shape – which is also stable.”

In the case of the new thermal actuator, the material is bi-stable, but which shape the material prefers is dictated by temperature.

Here’s how that works. The researchers layer two materials on top of each other, with silver nanowires in the middle. The two materials have different coefficients of thermal expansion, which means they expand at different rates as they heat up. In practical terms, that means the structure bends when you heat it.

How we measure the effects of methane matters for climate policy

How effective is the promotion of low-meat diets at reducing greenhouse gas emissions compared to carbon pricing when the effectiveness of mitigation policies is measured against methane’s long-term behavior? An international team of researchers explored how focusing either on the short- or long-term warming effects of methane can affect climate mitigation policies and dietary transitions in agriculture.

Unlike the other main greenhouse gases (GHG) and particularly carbon dioxide (CO2), methane (CH4) has a short atmospheric life (around 10 years). Its warming effect is significant in the short term but diminishes in the long term. Depending on the time scale considered, methane’s contribution to agricultural emissions and climate change may vary substantially. This has important implications in the design of global climate change mitigation policies for agriculture.

Based on projections from three agricultural economic models, the study just published in the journal Nature Food shows how different valuations of methane, reflecting either a short- or long-term focus, may affect the cost-effectiveness of mitigation policies and the benefits of low-meat diets.

Conventionally, the climate impact of a certain sector is evaluated through its annual greenhouse gas emissions, typically using the Global Warming Potential over a 100 year period metric ̶ GWP100 ̶ which estimates the change in atmospheric energy balance resulting from a particular type of GHG emission. However, as GHG emissions are reported as CO2-equivalents (which is a very stable GHG), GWP100 can fail to capture how the relative impacts of different gases change over time.

The short-lived character of methane emissions has been arguably overlooked in most assessments of emission reductions required from the agricultural sector to achieve climate targets. The authors explored how different valuations of methane affect the ranking of mitigation policies in agriculture and, consequently, the sector’s contribution to global warming.

Farmed seafood supply at risk if we don’t act on climate change

Credit: Bob Brewer/Unsplash

The supply of farmed seafood such as salmon and mussels are projected to drop 16 per cent globally by 2090 if no action is taken to mitigate climate change, according to a new UBC study.

Ocean-farmed seafood or mariculture is often seen as a panacea to the problems of depleted stocks of wild fish and growing human demand, and is expected to grow substantially in the coming years, says lead author Dr. Muhammed Oyinlola (he/him), a postdoctoral research fellow at the Institute for the Oceans and Fisheries (IOF). But the new modeling study highlights the industry is as vulnerable to the effects of climate change as any other. “If we continue to burn fossil fuels at our current rate, the amount of seafood such as fish or mussels able to be farmed sustainably will increase by only eight per cent by 2050, and decline by 16 per cent by 2090.”

By comparison, in a low emissions scenario where the action is taken to mitigate climate change, mariculture is projected to grow by about 17 per cent by the mid-21st century and by about 33 per cent by the end of the century, relative to the 2000s.

The model takes into account many factors, including changing ocean temperatures, suitable mariculture areas in the future, and the supply of fishmeal and fish oil. It examined approximately 70 per cent of the world’s mariculture production as of 2015, focusing on Exclusive Economic Zones, where most of the world’s seafood farming occurs.

Climate change will affect mariculture production differently depending on where farms are in the world, and what they produce, says Dr. Oyinlola. The hardest-hit regions in the high-emissions scenario— Norway, Myanmar, Bangladesh, the Netherlands, and China—could see their mariculture production decline by as much as 40 to 90 per cent.

Artificial intelligence can create better lightning forecasts

Lightning is one of the most destructive forces of nature, as in 2020 when it sparked the massive California Lightning Complex fires, but it remains hard to predict. A new study led by the University of Washington shows that machine learning — computer algorithms that improve themselves without direct programming by humans — can be used to improve lightning forecasts.

Better lightning forecasts could help to prepare for potential wildfires, improve safety warnings for lightning and create more accurate long-range climate models.

“The best subjects for machine learning are things that we don’t fully understand. And what is something in the atmospheric sciences field that remains poorly understood? Lightning,” said Daehyun Kim, a UW associate professor of atmospheric sciences. “To our knowledge, our work is the first to demonstrate that machine learning algorithms can work for lightning.”

The new technique combines weather forecasts with a machine learning equation based on analyses of past lightning events. The hybrid method, presented Dec. 13 at the American Geophysical Union’s fall meeting, can forecast lightning over the southeastern U.S. two days earlier than the leading existing technique.

“This demonstrates that forecasts of severe weather systems, such as thunderstorms, can be improved by using methods based on machine learning,” said Wei-Yi Cheng, who did the work for his UW doctorate in atmospheric sciences. “It encourages the exploration of machine learning methods for other types of severe weather forecasts, such as tornadoes or hailstorms.”

Women Are Facing Greater Interruption Challenges with Remote Work Than Their Male Colleagues

Women employees are facing bigger career challenges than their male colleagues with interruptions to their work-from-home life, according to new research by UConn management professor Nora Madjar.

Madjar’s research, “Working from Home During COVID-19: A study of Interruption Landscape,’’ was published this month by the Journal of Applied Psychology. She co-authored the piece with professors Sophie Leroy of the University of Washington and Aaron Schmidt of the University of Minnesota.

“The gender divide was particularly surprising to us. We had heard anecdotally that it occurred, but now we have empirical evidence that women are interrupted more frequently, both with work-related and personal responsibilities,’’ Madjar says.

“Women have paid an additional price since the onset of the pandemic,’’ she says. “This is more than just an inconvenience. Work interruptions are associated with reduced employee performance and higher levels of emotional exhaustion.’’

The researchers discovered some practical solutions that employers can take to help their employees minimize interruptions, including assistance in establishing a dedicated work space within the employee’s home.

Vaccines shown to induce lower levels of neutralizing antibodies against Omicron coronavirus variant

Vaccines shown to induce lower levels of neutralizing antibodies against Omicron coronavirus variant

Researchers used blood samples collected from Com-COV2 study participants who had received two doses of standard COVID-19 vaccination schedules to perform neutralization assays using Omicron virus isolate

Substantial fall in neutralizing titers suggest that while there is no evidence of increased potential to cause severe disease, or death, increased infections in previously infected, or vaccinated individuals may be likely

Increasing vaccine uptake among unvaccinated, and encouraging third doses, remain priority to reduce transmission levels and potential for severe disease

Researchers from the University of Oxford have analyzed the impact of the Omicron COVID-19 variant of concern on one of the immune responses generated by vaccination.

Using blood samples from individuals who had previously received two doses of the Oxford-AstraZeneca or Pfizer-BioNTech vaccines as part of the Com-COV study, and a live virus isolate, they demonstrate substantial decrease in neutralizing titers – a measure of the level of neutralizing antibodies generated in responses to vaccination against, or infection from, COVID-19.

The results, published on the pre-print server MedRxiv, indicate that the Omicron variant has the potential to drive a further wave of infections, including among those already vaccinated, although the researchers highlight that there is currently no evidence of increased potential to cause severe disease, hospitalizations or deaths in vaccinated populations.