A common gut bacterium produces a molecule that slows cholesterol production in the liver. When researchers gave the molecule to mice prone to artery disease, the animals developed roughly half as much fatty plaque as untreated controls.

The molecule acts on the same enzyme targeted by statins, the widely used cholesterol-lowering drugs. That connection offers a concrete explanation for something harder to untangle: how bacteria living in the intestine might influence the health of arteries elsewhere in the body.

Researchers at institutions including Sun Yat-sen University and Shenzhen ...

Silicon spin qubits are a promising platform for building scalable quantum computers as they are compatible with the semiconductor manufacturing technologies used to produce today’s computer chips. However, they have an important weakness: silicon spin qubits typically lose accuracy when several qubits are under parallel control. To be useful, quantum computers will need to operate many qubits simultaneously without compromising the accuracy of their operations.

Now, in a study published in Nature Physics, researchers from the RIKEN Center for Emergent Matter Science and collaborators have addressed this challenge by achieving high-fidelity control of multiple sili...

Scientists may have solved a long-standing mystery about why the Moon’s two sides are so different, using samples collected from its farside for the first time. Their findings suggest that uneven heating from Earth’s gravitational pull drove enormous flows of ancient magma, creating the dramatically different lunar landscapes we see today.

Scientists investigating why the Moon’s two sides look so different have uncovered new evidence that could help explain this long-standing mystery. A research team led by Professor Hejiu Hui of Nanjing University analyzed lunar rocks collected by China’s Chang’e-6 (CE6) mission and found clues suggesting that enormous movements of molten rock shaped the Moon billions of years ago.

The researchers examined the chemical compositions of three t...

Researchers at The University of Texas MD Anderson Cancer Center and collaborating institutions in Texas developed an artificial intelligence (AI) model that helps explain how immune cells find their way to specific locations in the body and why they avoid others. The findings could help scientists better understand cancer, autoimmune diseases and treatment response.

The study, published in Nature Biomedical Engineering, was co-led by Tao Wang, Ph.D., associate professor of bioinformatics and computational biology, and Linghua Wang, M.D., Ph.D., professor of genomic medicine, executive director and head of the Center for Cellular Language Intelligence, associate member of the James P. Allison Institute and focus area co-lead with the Institute for Data Science in Oncology.

“Whil...