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Nanoparticle blueprints reveal path to smarter medicines

Lipid nanoparticles (LNPs) are the delivery vehicles of modern medicine, carrying cancer drugs, gene therapies and vaccines into cells. Until recently, many scientists assumed that all LNPs followed more or less the same blueprint, like a fleet of trucks built from the same design.

Now, in Nature Biotechnology, researchers from the University of Pennsylvania, Brookhaven National Laboratory and Waters Corporation have characterized the shape and structure of LNPs in unprecedented detail, revealing that the particles come in a surprising variety of configurations.

That variety isn’t just cosmetic: As the researchers found, a particle’s internal shape and structure correlates with how well it delivers therapeutic cargo to a particular destination.

Algorithm maps genetic connection between Alzheimer’s and specific neurons

The number of people living with dementia worldwide was estimated at 57 million in 2021 with nearly 10 million new cases recorded each year. In the U.S., dementia impacts more than 6 million lives, and the number of new cases is expected to double over the next few decades, according to a 2025 study. Despite advancements in the field, a full understanding of disease-causing mechanisms is still lacking.

To address this gap, Rice University researchers and collaborators at Boston University have developed a that can help identify which specific types of cells in the body are genetically linked to complex human traits and diseases, including in forms of dementia such as Alzheimer’s and Parkinson’s.

Known as “Single-cell Expression Integration System for Mapping genetically implicated Cell types,” or seismic, the tool helped the team hone in on genetic vulnerabilities in memory-making brain cells that link them to Alzheimer’s ⎯ the first to establish an association based on a genetic link between the disease and these specific neurons. The algorithm outperforms existing tools for identifying that are potentially relevant in complex diseases and is applicable in disease contexts beyond dementia.

A tiny chip that can help us see deeper into space

A new imaging system could help us see deeper into the universe than ever before. The same powerful technology could also help us analyze the chemical makeup of everyday materials such as food and medicines much faster and with greater accuracy than current methods.

In a study published in the journal Nature, researchers from Tsinghua University in China have introduced a tiny device called RAFAEL (Reconfigurable, Adaptive, FAst and Efficient Lithium-niobate spectro-imager) that uses advanced photonics to capture light in exceptional detail with high speed.

RAFAEL is designed to dramatically improve spectroscopy, the technique used to study the and chemical composition of matter. It is used for everything from mapping to checking for contaminants in water and diagnosing diseases, and it works by breaking down the light that comes from an object and analyzing the different colors (wavelengths). While incredibly powerful, traditional spectrometers often face a trade-off: To get very fine detail you have to block much of the light. Or if you let in a lot of light, you lose resolution or sensitivity.

New organic thin-film tunnel transistors for wearable and other small electronics

To meet the growing demands of flexible and wearable electronic systems, such as smart watches and biomedical sensors, electronics engineers are seeking high-performance transistors that can efficiently modulate electrical current while maintaining mechanical flexibility.

Thin-film transistors (TFTs), which are comprised of thin layers of conducting, semiconducting and insulating materials, have proved to be particularly promising for large-area flexible and wearable electronics, while also enabling the creation of thinner displays and advanced sensors.

Despite their potential, the energy-efficiency with which these transistors can switch has proved difficult to improve. This is due to the so-called thermionic limit, a theoretical threshold that delineates the lowest possible voltage required for a transistor to boost electrical current by a factor of 10 at room temperature when switching between “off” and “on” states.

Parkinson’s Discovery Suggests We May Have an FDA-Approved Treatment Already

Researchers have discovered how a surface protein on brain cells, called Aplp1, can play a role in spreading material responsible for Parkinson’s disease from cell to cell in the brain.

Promisingly, an FDA-approved cancer drug that targets another protein – Lag3 – which interacts with Aplp1 – was found to block this process in mice. This suggests a potential treatment for Parkinson’s may already exist.

In a paper published last year, an international team of scientists detailed how the two proteins work together to help toxic clumps of alpha-synuclein protein get into brain cells.

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