Pregnant women diagnosed with cancer don’t get the emotional support they need due to research gap

Photo Credit: Lucas Mendes

Support for pregnant women diagnosed with cancer is limited because of insufficient research into the specific emotional consequences and needs associated with a diagnosis at this time, according to a new report from the University of Surrey.

Researchers have also found that pregnant women diagnosed with cancer often delay seeking medical help because they believe their symptoms are due to natural changes in their body.

In the most comprehensive study of its kind, researchers from Surrey, in collaboration with the charity Mummy’s Star, reviewed causes of psychosocial issues (distress, depression, and anxiety) affecting pregnant women diagnosed with cancer and what supportive care is available to them and their partners.

Hunting Venus 2.0: Scientists sharpen their sights

Composite view of Venus consisting of two images from Japan's Akatsuki mission, taken at two different distances.
Image Credit: JAXA / ISAS / DARTS / Damia Bouic

With the first paper compiling all known information about planets like Venus beyond our solar system, scientists are the closest they’ve ever been to finding an analog of Earth’s “twin.” 

If they succeed in locating one, it could reveal valuable insights into Earth’s future, and our risk of developing a runaway greenhouse climate as Venus did. 

Scientists who wrote the paper began with more than 300 known terrestrial planets orbiting other stars, called exoplanets. They whittled the list down to the five most likely to resemble Venus in terms of their radii, masses, densities, the shapes of their orbits, and perhaps most significantly, distances from their stars. 

The paper, published in The Astronomical Journal, also ranked the most Venus-like planets in terms of the brightness of the stars they orbit, which increases the likelihood that the James Webb Space Telescope would get more informative signals regarding the composition of their atmospheres.

Emory researchers shine light on how stress impacts women's hearts

Stress has significant impact on women's heart health, research has found
Photo Credit: Engin Akyurt

Right in the middle of women’s history month, it’s staggering to think back on how recently women and their hearts began to be taken seriously by the scientific community. As legendary Emory cardiologist Nanette Wenger, MD, wrote in a 2016 American College of Cardiology article: “Although heart disease is the number one killer of women, cardiovascular disease was really thought of as a man’s disease until the last few decades.” 

In the not-so-distant past, Wenger added, “Women who came into the emergency room with chest pains were told they had a stomach problem or that they were imagining the pain and had emotional problems, so they were sent home.” 

Thankfully, following down the path first carved out by pioneers like Wenger, there are researchers and physicians like Viola Vaccarino, MD, PhD, who have continued to build a data-backed case for the fact that women are very much not just making things up. 

Vaccarino, the Wilton Looney Professor of Cardiovascular Research at Rollins’ Department of Epidemiology and faculty member in the Division of Cardiology, is the principal investigator of a prospective study funded by the National Institutes of Health (NIH) looking at sex differences in bodily responses to mental stress and subsequent cardiovascular events among young and middle-aged patients who survived a heart attack at Emory University.  

Shining a light into the ‘‘black box’’ of AI

With no insight into how Al algorithms work or what influences their results, the “black box” nature of AI technology raises important questions over trustworthiness.
Illustration Credit: Gerd Altmann

An international team led by UNIGE, HUG and NUS has developed an innovative method for evaluating AI interpretability methods, with the aim of deciphering the basis of AI reasoning and possible biases.

 Researchers from the University of Geneva (UNIGE), the Geneva University Hospitals (HUG), and the National University of Singapore (NUS) have developed a novel method for evaluating the interpretability of artificial intelligence (AI) technologies, opening the door to greater transparency and trust in AI-driven diagnostic and predictive tools. The innovative approach sheds light on the opaque workings of so-called "black box" AI algorithms, helping users understand what influences the results produced by AI and whether the results can be trusted. This is especially important in situations that have significant impacts on the health and lives of people, such as using AI in medical applications. The research carries particular relevance in the context of the forthcoming European Union Artificial Intelligence Act which aims to regulate the development and use of AI within the EU. The findings have recently been published in the journal Nature Machine Intelligence.

Researchers develop a universal oral COVID-19 vaccine that prevents severe illness in hamsters

Illustration Credit: PIRO

A UCLA-led team has developed an inexpensive, universal oral COVID-19 vaccine that prevented severe respiratory illness and weight loss when tested in hamsters, which are naturally susceptible to SARS-CoV-2. It proved as effective as vaccines administered by injection or intranasally in the research.

If ultimately approved for human use, it could be a weapon against all COVID-19 variants and boost uptake, particularly in low- and middle-income countries, and among those with an aversion to needles.

The study is published in the peer-reviewed journal Microbiology Spectrum.

The oral vaccine is based primarily on the nucleocapsid protein, which is the most abundantly expressed of the virus’s four major structural proteins and evolves at a much slower rate than the frequently mutating spike protein. The vaccine utilizes a highly weakened bacterium to produce the nucleocapsid protein in infected cells as well as the membrane protein, which is another highly abundant viral structural protein.

Recovery of endangered sunflower sea stars may play key role in restoring devastated submarine forests

Sunflower sea stars, such as the one that appears in the foreground, could help keep purple sea urchins in check, according to new research from Florida State University Assistant Professor Daniel Okamoto and colleagues published in Proceedings of the Royal Society B.
Photo Credit: Lynn Lee

Scientists working to understand the decimation of kelp forests on the Pacific Coast have found that the endangered sunflower sea star plays a vital role in maintaining the region’s ecological balance and that sea star recovery efforts could potentially help restore kelp forests as well.

The multi-institution team, which includes Florida State University Assistant Professor of Biological Science Daniel Okamoto, has published a new study showing that a healthy sea star population could keep purple sea urchins — which have contributed to the destruction of kelp forests — in check.

Their work is published in the Proceedings of the Royal Society B.

“Our work is focused on understanding what factors maintain healthy kelp forests as well as healthy urchin populations,” Okamoto said. “That is, what scenarios lead to collapse versus coexistence of these important species.”

‘Neutron camera’ method captures atomic-scale activity in a flash

Artist’s conceptual drawing illustrates the novel energy filtering technique using neutrons that enabled researchers at ORNL to freeze moving germanium telluride atoms in an unblurred image. The images offered key insights into how the material produces its outstanding thermoelectric performance.
Illustration Credit: Jill Hemman/ORNL, U.S. Dept. of Energy

Scientists have long sought to better understand the “local structure” of materials, meaning the arrangement and activities of the neighboring particles around each atom. In crystals, which are used in electronics and many other applications, most of the atoms form highly ordered lattice patterns that repeat. But not all atoms conform to the pattern.

When some atoms take up local arrangements that are different than that implied by the overall structure of the crystal, studying the local structure gets more difficult — especially when the atoms are moving. In fact, the inability to clearly see these local effects means researchers are often not aware they can happen.

Now researchers using the Spallation Neutron Source at Oak Ridge National Laboratory have developed a new method of studying the local structure of materials in detail and in real time.

The team developed a variable-shutter pair distribution function, or vsPDF, technique in which neutrons function like a camera but at timescales that are a trillion times faster.

Uracil found in Ryugu samples

A conceptual image for sampling materials on the asteroid Ryugu containing uracil and niacin by the Hayabusa2 spacecraft
Image Credit: NASA Goddard/JAXA/Dan Gallagher

Samples from the asteroid Ryugu collected by the Hayabusa2 mission contain nitrogenous organic compounds, including the nucleobase uracil, which is a part of RNA.

Researchers have analyzed samples of asteroid Ryugu collected by the Japanese Space Agency’s Hayabusa2 spacecraft and found uracil—one of the informational units that make up RNA, the molecules that contain the instructions for how to build and operate living organisms. Nicotinic acid, also known as Vitamin B3 or niacin, which is an important cofactor for metabolism in living organisms, was also detected in the same samples. 

This discovery by an international team, led by Associate Professor Yasuhiro Oba at Hokkaido University, adds to the evidence that important building blocks for life are created in space and could have been delivered to Earth by meteorites. The findings were published in the journal Nature Communications.

“Scientists have previously found nucleobases and vitamins in certain carbon-rich meteorites, but there was always the question of contamination by exposure to the Earth’s environment,” Oba explained. “Since the Hayabusa2 spacecraft collected two samples directly from asteroid Ryugu and delivered them to Earth in sealed capsules, contamination can be ruled out.”

Purifying water with the power of the sun

A Notre Dame researcher’s invention could improve access to clean water for some of the world’s most vulnerable people.

 “Today, the big challenges are information technology and energy,” says László Forró, the Aurora and Thomas Marquez Professor of Physics of Complex Quantum Matter in the University of Notre Dame's Department of Physics and Astronomy. “But tomorrow, the big challenge will be water.”

The World Health Organization reports that today nearly 2 billion people regularly consume contaminated water. It estimates that by 2025 half of the world’s population could be facing water scarcity. Many of those affected are in rural areas that lack the infrastructure required to run modern water purifiers, while many others are in areas affected by war, natural disasters or pollution. There is a greater need than ever for innovative ways to extend water access to those living without power, sanitation and transportation networks.

Recently, Forró's lab developed just such a solution. They created a water purifier, described in the Nature partner journal Clean Water, that is powered by a resource nearly all of the world’s most vulnerable people have access to: the sun.

New method to identify and explore functional proteoforms and their associations with drug response in childhood acute lymphoblastic leukemia

Rozbeh Jafari, senior researcher at the Department of Oncology-Pathology.
Photo Credit: Courtesy of Rozbeh Jafari

Researchers at the Department of Oncology-Pathology have together with researchers from The European Molecular Biology Laboratory published a paper in Nature Chemical Biology where they developed a method that can identify important differences between proteins in an unbiased way.

The paper examines melting behavior of proteins to define cases where portions of the protein melt differently. In these cases, the method can identify that the protein is likely to exist in multiple physical forms, called proteoforms. Therefore, a new perspective on variations between proteins can be interpreted. The method is applied in the context of childhood acute lymphoblastic leukemia cell lines, and is used to identify specific proteoforms associated with disease biology and drug response. This disease was selected as a proof of principle due to the need for improved precision therapies for patients.