No more flu for you? Discovery blocks influenza virus’ replication in cells

Jiayu Liao
Source: University of California, Riverside

It happens every year, especially in winter. A virus saunters into your wide-open respiratory tract, worms its way into lung cells, and, next thing you know, you’re lying-in bed with a fever, aches, and chills—classic symptoms of influenza, or flu.

Research led by UC Riverside bioengineers may help stop that cycle. The team has just found a way to block one strain of the influenza virus from accessing a human protein it needs to replicate in cells. The discovery could lead to highly effective ways to treat the flu and could also apply to other respiratory viruses, such as SARS-CoV-2, which causes Covid-19.

While the flu is miserable but not life-threatening for many, it nonetheless kills tens of thousands of people each year, often the youngest and oldest members of a population. The Centers for Disease Control and Prevention estimates that flu causes 12,000 to 50,000 deaths in U.S. each year. Flu vaccines, which work by teaching the body’s immune system how to recognize and attack the virus when it enters the body, are not always effective for reasons scientists don’t yet fully understand but are likely related to the complexities of the immune system and viral mutations.

The new research, published in the journal Viruses, does not rely on the immune system to stop the virus. 

In order to make a person sick, the influenza virus has to infect cells in the body, where it replicates and infects more cells. Jiayu Liao, an associate professor of bioengineering at UC Riverside, previously discovered that the two most common types of flu virus, Influenza A and Influenza B, require a unique human protein to proliferate in cells and then infect more cells. 

Blocking enzyme could hold the key to preventing, treating severe COVID-19

Amal Amer

The sickest COVID-19 patients develop acute respiratory distress syndrome resulting from the combination of high levels of pro-inflammatory proteins called cytokines, fluid accumulation in air sacs that seeps into lung tissue and blood clots, or thrombosis, caused by damage to cells lining vessel walls. In a series of experiments in infected mice, the research team found that inhibiting caspase 11 reduced the intensity of multiple effects.

Blocking an immune response-related enzyme holds promise in preventing or treating severe COVID-19 symptoms by reducing inflammation, tissue injury and blood clots in the lungs, new research in mice suggests.

Scientists who have long studied this molecule’s functions in bacterial infections traced the development of extensive lung damage in infected mice to heightened levels of the enzyme triggered by the invading SARS-CoV-2 virus.

Versions of this enzyme exist and have similar functions in both mice and humans – they’re called caspase 11 and caspase 4, respectively. After finding that the molecule is an attractive therapeutic target, researchers are exploring compounds that could safely and effectively block its activation.

“The whole idea is if this molecule is not there, the mouse will do better, which means if you target this molecule, then humans should do better,” said co-senior study author Amal Amer, professor of microbial infection and immunity in The Ohio State University College of Medicine.

The research was published online recently in Proceedings of the National Academy of Sciences.

Cuttlefish: Chameleons of the sea

European cuttlefish
Source: City, University of London

Study suggests that European cuttlefish use a more complex strategy than previously thought to camouflage themselves within underwater surroundings.

A new study by City, University of London and others suggests that the European cuttlefish (sepia officinalis) may combine, as necessary, two distinct neural systems that process specific visual features from its local environment, and visual cues relating to its overall background environment to create the body patterns it uses to camouflage itself on the sea floor.

This is in contrast to previous research suggesting that the cognitive (brain) processes involved are much simpler, in that the cuttlefish adopts one of only three major types of body patterns to visually merge with its background. However, that does not explain why the animal possesses about 30 different body pattern components it could use to achieve this.

The study explored whether the cuttlefish uses a cognitive process that is triggered by specific, visual features in its environment and which warrants the number of body pattern components it possesses.

Like their cephalopod relatives the octopus and the squid, cuttlefish are masters at blending in with their environments, which is largely attributable to the way their brains are able to control how pigments in special cells called chromatophores on their skin are displayed across their bodies.

Physicists Announce First Results from Daya Bay’s Final Dataset

Photomultiplier tubes, designed to pick up faint light signals from particle interactions, line the inside of a detector for the Daya Bay Reactor Neutrino experiment.
Credit: Roy Kaltschmidt/Berkeley Lab

Over nearly nine years, the Daya Bay Reactor Neutrino Experiment captured an unprecedented five and a half million interactions from subatomic particles called neutrinos. Now, the international team of physicists of the Daya Bay collaboration has reported the first result from the experiment’s full dataset—the most precise measurement yet of theta13, a key parameter for understanding how neutrinos change their “flavor.” The result, announced today at the Neutrino 2022 conference in Seoul, South Korea, will help physicists explore some of the biggest mysteries surrounding the nature of matter and the universe.

Neutrinos are subatomic particles that are both famously elusive and tremendously abundant. They endlessly bombard every inch of Earth’s surface at nearly the speed of light, but rarely interact with matter. They can travel through a lightyear’s worth of lead without ever disturbing a single atom.

One of the defining characteristics of these ghost-like particles is their ability to oscillate between three distinct “flavors”: muon neutrino, tau neutrino, and electron neutrino. The Daya Bay Reactor Neutrino Experiment was designed to investigate the properties that dictate the probability of those oscillations, or what are known as mixing angles and mass splittings.

Only one of the three mixing angles remained unknown at the time Daya Bay was designed in 2007: theta13. So, Daya Bay was built to measure theta13* with higher sensitivity than any other experiment.

Research Confirms Effectiveness of Oil Dispersants

Marine oil spills are one of the most direct, and harmful, examples of the toll that the extraction of fossil fuels can take on the environment. One of the few tools to mitigate that damage is chemical dispersants that break down oil in the water. However, scientists do not fully understand how well they work. A new study led by Bigelow Laboratory validated their efficacy under real-world conditions in order to better prepare for the next disaster.

“We don’t want to just apply chemicals to the ocean without fully understanding what happens,” said Senior Research Scientist Christoph Aeppli, lead author on the study. “We want to know that dispersants are as effective as they can be to help ecosystem recovery.”

Oil spills impact life at every level of the ocean food web, and emergency response efforts must move quickly to minimize the damage after they occur. Crews could wait until oil washes ashore to clean it up, but its toxic compounds can persist for decades and damage sensitive ecosystems.

Chemical dispersants can be used to address spills at sea by breaking oil into small droplets that get mixed into the water and diluted rapidly. When dispersants are applied, oil typically persists in the water column for much less time than they would on shore even though oil droplets temporarily increase the toxicity in the water. However, adding additional chemicals to the environment has been controversial.

History of Lake Cahuilla

Today, the Salton Sea occupies a fraction of the area once covered by Lake Cahuilla.
Photo: Susanne Clara Bard.

Today, the Salton Sea is an eerie place. Its mirror-like surface belies the toxic stew within. Fish skeletons line its shores and the ruins of a once thriving vacation playground is a reminder of better days.

But long before agricultural runoff bespoiled the Salton Sea, the lakebed it now occupies was home to a much larger body of water known as Lake Cahuilla. The lake was six times the size of the Salton Sea and once covered much of Mexicali, Imperial and Coachella valleys.

“It was a freshwater lake that was about 100 meters deep in its deepest part,” said San Diego State University emeritus professor of geology Tom Rockwell. “It extended from up near Palm Springs southward into Mexico, so it was a very extensive lake.”

Lake Cahuilla went through many cycles of filling and drying out over thousands of years. A new study by Rockwell and his colleagues used radiocarbon dating to determine the timing of the last seven periods of filling. The research sheds light on both the history of human occupation in the area and its seismic past.

Shark antibodies may have the teeth to stop COVID-19

Nurse sharks have a surprisingly effective adaptive immune system that may help shape novel COVID-19 therapies

Fossil evidence suggests sharks first existed 420 million years ago, predating humanity, Mount Everest and even trees. Over the course of time, sharks and other fish with cartilage skeletons developed what is now believed to be the oldest adaptive immune system in the animal kingdom.

According to a recent study published in Nature Communications, these ancient predators and their prehistoric immune systems may also be key to developing effective COVID-19 treatments.

“The shark antibodies neutralized the proteins in ways we weren’t expecting.” — 

Surajit Banerjee, Cornell University/NE-CAT

Professors Aaron LeBeau of the University of Wisconsin and Hideki Aihara of the University of Minnesota used the Advanced Photon Source (APS), a U.S. Department of Energy (DOE) Office of Science user facility at DOE’s Argonne National Laboratory, to look at nurse shark antibodies. With exquisite resolution, the APS’s extremely bright X-ray beams showed that variable new antigen receptors (VNARs), the smallest unit of a shark antibody, can stop SARS-CoV-2, the virus that causes COVID-19 and its variants.

Astronomers identify 116,000 new variable stars

An ASAS-SN telescope helps astronomers discover new stars.
Photo: ASAS-SN

Ohio State University astronomers have identified about 116,000 new variable stars, according to a new paper.

These heavenly bodies were found by The All-Sky Automated Survey for Supernovae (ASAS-SN), a network of 20 telescopes around the world which can observe the entire sky about 50,000 times deeper than the human eye. Researchers from Ohio State have operated the project for nearly a decade.

Now in a paper published on arXiv, an open-access preprint server, researchers describe how they used machine learning techniques to identify and classify variable stars — celestial objects whose brightness waxes and wanes over time, especially if observed from our perspective on Earth.

The changes these stars undergo can reveal important information about their mass, radius, temperature and even their composition. In fact, even our sun is considered a variable star. Surveys like ASAS-SN are an especially important tool for finding systems that can reveal the complexities of stellar processes, said Collin Christy, the lead author of the paper and an ASAS-SN analyst at Ohio State.

“Variable stars are sort of like a stellar laboratory,” he said. “They’re really neat places in the universe where we can study and learn more about how stars actually work and the little intricacies that they all have.”

Great white sharks may have contributed to megalodon extinction

Tooth size comparison between the extinct Early Pliocene Otodus megalodon tooth and a modern great white shark. 
Credit: MPI for Evolutionary Anthropology

The diet of fossil extinct animals can hold clues to their lifestyle, behavior, evolution and ultimately extinction. However, studying an animal’s diet after millions of years is difficult due to the poor preservation of chemical dietary indicators in organic material on these timescales. An international team of scientists led by the Max Planck Institute for Evolutionary Anthropology in Leipzig, Germany, applied a new method to investigate the diet of the largest shark to have ever existed, the iconic Otodus megalodon. This new method investigates the zinc isotope composition of the highly mineralized part of teeth and proves to be particularly helpful to decipher the diet of these extinct animals.

Megatooth sharks like Otodus megalodon, more commonly known as megalodon, lived between 23 and 3.6 million years ago in oceans around the globe and possibly reached as large as 20 meters in length. For comparison, the largest great white sharks today reach a total length of only six meters. Many factors have been discussed to explain the gigantism and extinction of megalodon, with its diet and dietary competition often being thought of as key factors.

Asteroid Institute Uses Revolutionary Cloud-Based Astrodynamics Platform to Discover and Track Asteroids

The Asteroid Institute, a program of B612 Foundation, today announced it is using a groundbreaking computational technique running on its Asteroid Discovery Analysis and Mapping (ADAM) cloud-based astrodynamics platform to discover and track asteroids. The Minor Planet Center has confirmed and added the first 104 of these newly discovered asteroids to its registry, thus opening the door for Asteroid Institute-supported researchers to submit thousands of additional new discoveries.

The ADAM platform is an open-source computational system that runs astrodynamics algorithms using the scalable computational and storage capabilities in Google Compute Engine, Google Cloud Storage, and Google Kubernetes Engine. The novel algorithm used to discover these new asteroids is called THOR (Tracklet-less Heliocentric Orbit Recovery), and it links points of light in different sky images that are consistent with asteroid orbits. Unlike current state-of-the-art algorithms, THOR does not require the telescope to observe the sky in a particular pattern for asteroids to be discoverable. Researchers can now begin systematic explorations of large datasets that were previously not usable for discovering asteroids. THOR recognizes asteroids, and most importantly, calculates their orbits well enough to be recognized by the Minor Planet Center as tracked asteroids.

For its initial demonstration, Joachim Moeyens, THOR co-creator and the Asteroid Institute Graduate Student Fellow at the University of Washington, searched a 30-day window of images from the NOIRLab Source Catalog (NSC), a collection of nearly 68 billion observations taken by the National Optical Astronomy Observatory telescopes between 2012 and 2019. From this Moeyens submitted a small, initial subset of discoveries to the Minor Planet Center for official recognition and validation. Now that the computational discovery technique has been validated, thousands of new discoveries from NSC and other datasets are expected to follow.