Twenty years into the Psychedelic Renaissance, neuroscientists still struggle to understand how psychedelics work and how to rectify misconceptions about these drugs.
Stanford Medicine researchers found cells that keep a speech-linked protein called FOXP2 from clumping; its tricks could break apart clumps of proteins that cause devastating brain diseases.
Two teams of researchers have developed a cell reprogramming technology that converts rogue disease-causing T cells from our immune system into protective Treg cells. These cells help ensure that the immune system doesn’t attack the body’s own tissues. The breakthroughs could usher in more personalized and targeted cell therapies for a host of autoimmune diseases.
In the first paper, published in the journal Science Translational Medicine, scientists developed a targeted cell therapy against pemphigus vulgaris (PV). This severe autoimmune skin disease causes blisters and sores.
They took the cells that were causing the disease (Dsg3-specific pathogenic T cells) from mouse models and human patients and converted them into harmless Treg cells. They used specialized chemical tools to switch on a gene called Foxp3, which controls a cell’s ability to help the immune system, and cut off a specific activation signal to prevent the cells from turning back into attackers.
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.
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 computational tool 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 cell types that are potentially relevant in complex diseases and is applicable in disease contexts beyond dementia.
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 physical structure and chemical composition of matter. It is used for everything from mapping deep space 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.