Researchers have developed a new culture medium for canine iPS cells, enabling their stable differentiation into cardiomyocytes.

Selenium-based compounds play vital roles in human and animal health; however, accurately detecting their various forms has long been a challenge. Researchers from Chiba University have developed a new method that uses selenium’s unique isotopic “fingerprints” to identify its compounds with high precision. Using this approach, they discovered previously unknown selenium molecules produced by gut bacteria. This technique could contribute to the fields of biology, helping deepen our understanding of selenium’s functions in the body.

Dance is a form of cultural expression that has endured all of human history, channeling a seemingly innate response to the recognition of sound and rhythm. A team at the University of Tokyo and collaborators demonstrated distinct fMRI activity patterns in the brain related to a specific audience’s level of expertise in dance. The findings were born from recent breakthroughs in dance motion-capture datasets and AI generative models, facilitating a cross-modal study characterizing the art form’s complexity.

A geomagnetic superstorm is an extreme space weather event that occurs when the Sun releases massive amounts of energy and charged particles toward Earth. These storms are rare, occurring about once every 20-25 years. On May 10-11, 2024, the strongest superstorm in over 20 years, known as the Gannon storm or Mother’s Day storm, struck Earth.  

A study led by Dr. Atsuki Shinbori from Nagoya University's Institute for Space-Earth Environmental Research has captured direct measurements of this extreme event and provided the first detailed observations of how a superstorm compresses Earth's plasmasphere—a protective layer of charged particles that encircles our planet. Published in Earth, Planets and Space, the findings show how the plasmasphere and ionosphere react during the most violent solar storms and help forecast disruptions to satellites, GPS systems, and communication networks during extreme space weather events. 

A research group led by Assistant Professor Megumi Aimoto and Professor Akira Takahara at the Faculty of Pharmaceutical Sciences, Toho University, revealed that pyrazole-3 (Pyr3), a selective inhibitor of the transient receptor potential canonical-3 (TRPC3) channel, a calcium-permeable channel in the heart, prevents the persistence of atrial fibrillation. Atrial fibrillation is a tachyarrhythmia that occurs in the atria and is a major cause of stroke and heart failure. This study demonstrated that the TRPC3 channel is a promising new therapeutic target for atrial fibrillation. Drug therapy targeting TRPC3 channels is expected to provide a new approach for “overcoming” cardiovascular diseases associated with aging and lifestyle habits, including atrial fibrillation. These findings were published in the Biological and Pharmaceutical Bulletin on October 15, 2025.

A new meta-analysis led by researchers in Japan investigates whether lithium (LIT) supplementation can slow cognitive decline in individuals with mild cognitive impairment (MCI) or Alzheimer’s disease (AD). Building on preclinical evidence of LIT’s neuroprotective effects, the study systematically evaluates data from six randomized controlled trials to clarify its clinical potential. The findings aim to shed light on whether LIT, long used in psychiatry, could play a future role in MCI or AD prevention or treatment.

Electronics traditionally rely on harnessing the electron’s charge, but researchers are now exploring the possibility of harnessing its other intrinsic properties. In a recent study, scientists from Japan demonstrated that sound waves in certain solids can generate orbital currents—flow of electron orbital angular momentum. Their findings establish a foundation realizing next-generation ‘orbitronic’ devices using existing acoustic technology.

Scientists developed an automated, high-throughput system that relies on imaging biofluid droplets for disease diagnosis, reducing the number of consumables and equipment needed for biomedical testing. In the workflow, images of a drying droplet are analyzed by machine-learning algorithms to diagnose abnormalities in blood. Differences in the drying process of biofluid droplets are used to distinguish between normal and disease samples. This technology can also be used with other bodily fluids, including saliva and urine, and may provide a fast, cost-efficient diagnostic testing means in underserved communities and developing countries.