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A gene from 100-year-olds could help kids who age too fast

Scientists have uncovered a breakthrough in the fight against a rare genetic condition that causes children to age much faster than normal. The discovery involves “longevity genes” found in people who live exceptionally long lives, often beyond 100 years. Researchers from the University of Bristol and IRCCS MultiMedica found that these genes, which help maintain the health of the heart and blood vessels during aging, could reverse some of the damage caused by this devastating disease.

The study, published in Signal Transduction and Targeted Therapy, is the first to show that a gene from long-lived individuals can slow down heart aging in a model of Progeria. Known scientifically as Hutchinson-Gilford Progeria Syndrome (HGPS), this rare and fatal disorder causes children to exhibit signs of “accelerated aging.”

Progeria stems from a mutation in the LMNA gene, which leads to the creation of a harmful protein called progerin. This protein disrupts normal cell function, particularly in the heart and blood vessels. Most affected children die in their teenage years from heart complications, though some, like Sammy Basso — the oldest known person with Progeria — live longer. Sammy passed away on October 24, 2024, at the age of 28.

Artificial muscles use ultrasound-activated microbubbles to move

Researchers at ETH Zurich have developed artificial muscles that contain microbubbles and can be controlled with ultrasound. In the future, these muscles could be deployed in technical and medical settings as gripper arms, tissue patches, targeted drug delivery, or robots.

It might look like a simple material experiment at first glance, as a brief ultrasound stimulation induces a thin strip of silicone to start bending and arching. But that’s just the beginning. A team led by Daniel Ahmed, Professor of Acoustic Robotics for Life Sciences and Healthcare, has developed a new class of : flexible membranes that respond to ultrasound with the help of thousands of microbubbles.

The work is published in the journal Nature.

Scientists Develop Floating Device That Harvests Energy From Raindrops

A new water-integrated droplet electricity generator produces high electrical output while floating on water surfaces. Raindrops are not only a source of fresh water, they also carry unused energy that falls naturally from the sky. Scientists have long explored ways to convert this falling water in

AI model identifies high-performing battery electrolytes by starting from just 58 data points

In an ideal world, an AI model looking for new materials to build better batteries would be trained on millions or even hundreds of millions of data points.

But for emerging next-generation battery chemistries that don’t have decades of research behind them, waiting for new studies takes time the world doesn’t have.

“Each experiment takes up to weeks, months to get ,” said University of Chicago Pritzker School of Molecular Engineering (UChicago PME) Schmidt AI in Science Postdoctoral Fellow Ritesh Kumar. “It’s just infeasible to wait until we have millions of data to train these models.”

Rare lost allele that boosts soybean seed protein identified

A research team led by Prof. Hou Xingliang from the South China Botanical Garden of the Chinese Academy of Sciences has used genome-wide association studies (GWAS) to identify a rare allele that controls seed protein content and was lost during soybean domestication.

Their findings were published in the Proceedings of the National Academy of Sciences on Oct. 30.

Domesticating into crops represents a breakthrough in human history, yet key beneficial traits are often lost in the process. Soybeans are a good example. Modern soybean cultivars have lower seed protein content (30%–40%) than their wild ancestors, wild soybeans (Glycine soja), which typically contain 50%–60% protein. Since soybeans (Glycine max [L.] Merr.) are the primary source of plant-based protein for both and , increasing seed protein content is a critical goal for .

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