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Degenerating Tanycytes Disrupt Tau Removal, Shaping Alzheimer’s Progression

“Tanycytes, whose cell bodies line the walls and floor of the third ventricle and extend long, slim processes that terminate in ‘endfeet’ that contact these fenestrated capillaries,” act as a shuttle between the CSF and the blood, the authors wrote. The new study suggests they also act as a kind of molecular “exit ramp,” moving tau out of the CSF and into the bloodstream for disposal. When these cells become fragmented, that clearance system falters. Tau, which should be ferried away, instead lingers—much like traffic backing up when a major off‑ramp closes—allowing toxic protein species to accumulate.

“Our findings reveal a previously underappreciated, disease‑relevant role for tanycytes in neurodegeneration,” said corresponding author Vincent Prévot, PhD, of INSERM. “Focusing on tanycyte health could be a way to improve tau clearance and limit disease progression.”

Using rodent and cellular models, the researchers showed that tanycytes take up tau from the CSF and release it into pituitary portal capillaries, enabling its entry into the systemic circulation, according to the authors. When the team blocked vesicular transport in tanycytes, tau clearance from CSF to blood slowed dramatically, and tau pathology intensified. As the authors wrote, “Blocking tanycytic vesicular transport blunts CSF‑to‑blood tau efflux and potentiates tau pathology.”

Can a wealthy family change the course of a deadly brain disease?

A wealthy family fighting its own disease boosted research on a little-studied brain protein, progranulin. Can it spur new dementia treatments?


Bluefield investigators, and eventually drug companies, saw something compelling about FTD-GRN, the form of the condition Alice had. In other genetic neurodegenerative disorders, such as familial Alzheimer’s and Huntington disease, mutations spark the production of toxic proteins, generating complex cascades of pathology. But the culprit mutations driving FTD-GRN block progranulin production, leaving carriers with less than half as much of the protein as noncarriers. Many dementia researchers came to describe FTD-GRN as a “low-hanging fruit” among neurodegenerative diseases, using words such as “intuitive” and “tractable” to characterize its biology. The solution seemed obvious: A treatment just needed to raise progranulin levels in the brain.

Fueled in part by that confidence, six clinical trials have been launched to test progranulin-boosting therapies in FTD-GRN. Companies also hope the anti-inflammatory properties of a progranulin-boosting agent could help in Parkinson’s disease, Alzheimer’s, amyotrophic lateral sclerosis (ALS), and FTD caused by other mutations or without a known genetic cause.

All has not gone according to plan, however. In October 2025, a landmark phase 3 clinical trial of a progranulin-boosting drug in people with FTD-GRN did not keep their disease from progressing. In February, a small trial of a gene therapy delivering a healthy copy of GRN to the brain was halted, also for lack of effect.

RAB3GAP2 is a regulator of skeletal muscle endothelial cell proliferation and associated with capillary-to-fiber ratio

Ström et al. identify the rs115660502 variant in RAB3GAP2 associated with increased skeletal muscle capillary-to-fiber ratio and enriched in endurance athletes. This variant reduces RAB3GAP2 expression, enhancing endothelial proliferation, tube formation, and TNC secretion, thereby promoting exercise-like angiogenesis and microvascular remodeling in skeletal muscle.

Prognostic and Therapeutic Implications of Alamandine Receptor MrgD Expression in Clear Cell Renal Cell Carcinoma with Development of Metastatic Disease

Despite advances in the management of advanced clear cell renal cell carcinoma (ccRCC), robust biomarkers for prognosis and therapeutic response prediction remain elusive.

Stars like our sun may maintain the same rotation pattern for life, contrary to 45 years of theoretical predictions

Researchers at Nagoya University in Japan have conducted the most detailed simulation of the interior of stars and disproved a theory scientists have believed for 45 years: that stars switch their rotation patterns as they age, with poles rotating faster than the equator in older stars. Scientists have now found that this switch may not occur. Stars maintain solar-type rotation, spinning fast at the equator and slow at the poles throughout their lifetime. The findings are published in Nature Astronomy.

Stars come in many different sizes, temperatures, and colors, ranging from red dwarfs to massive blue giants. Solar-type stars, the focus of this study, are those similar to our sun in mass and temperature. They are medium-sized, yellow stars that provide stable conditions for billions of years, long enough for planets orbiting them to potentially develop life.

Earth rotates as one solid piece, but because the sun is made of hot gas, it rotates differentially —different parts rotate at different speeds. The equator takes about 25 days to complete one rotation while the poles take about 35 days. This is known as solar-type differential rotation.

Liquid-metal pupil helps an artificial eye adapt to sudden light changes

Computer vision technologies are artificial intelligence (AI)-powered systems that can capture, analyze, and interpret visual data captured from real-world environments. While these systems are now widely used, many of them perform poorly under some lighting conditions and when the light in captured scenes changes abruptly.

Researchers at University of North Carolina at Chapel Hill, Westlake University and other institutes have developed a new artificial eye that draws inspiration from the eyes of humans, cats and other animals. This artificial eye, introduced in a paper published in Science Robotics, could be used to advance the sensing capabilities of robots, advanced security systems and autonomous vehicles.

“Our project grew from a simple problem: traditional machine vision systems (like the cameras deployed in self-driving cars or robots) struggle with extreme light changes, such as changes from pitch black to bright sunlight,” Dr. Kun Liang, first author of the paper, told Tech Xplore.

What’s inside neutron stars? New model could sharpen gravitational-wave ‘tide’ clues

Neutron stars harbor some of the most extreme environments in the universe: their densities soar to several times those of atomic nuclei, and they possess some of the strongest gravitational fields of any known objects, surpassed only by black holes. First observed in the 1960s, much of the internal composition of neutron stars is still unknown. Scientists are beginning to look to gravitational waves emitted by binary neutron‐star inspirals—pairs of mutually orbiting neutron stars—as possible sources of information about their interiors.

Physicists at the University of Illinois Urbana-Champaign, together with colleagues at the University of California, Santa Barbara, Montana State University, and the Tata Institute of Fundamental Research in India have made a major theoretical breakthrough in understanding how inspiraling binary neutron stars respond to tidal forces, a key step in elucidating neutron stars’ makeup. The team has proven that the time‐dependent tidal responses of such stars can be described in terms of their oscillatory behavior, or modes, extending an analogous result from Newtonian gravity to the relativistic setting.

This research was published as an Editors’ Suggestion in the journal Physical Review Letters on February 18, 2026, and paves the way to probing the internal structure of neutron stars and some of nature’s most extreme types of matter using gravitational waves.

Researchers detect complex emotions by combining multiple optical signals

Researchers have developed a new way to recognize human emotions by combining fiber-based physiological signals with thermal images of the face. The portable emotional recognition system could eventually be used to support at-home mental health monitoring, improve driver safety and make technology more responsive to human emotions.

“Unlike many existing approaches, our method does not rely on facial expressions, which can be consciously controlled or exaggerated,” said research team leader Rui Min from Beijing Normal University at Zhuhai (BNU Zhuhai) in China.

“Instead, it focuses on natural bodily responses that occur automatically. By combining multiple types of optical sensing and higher-level physiological interpretation, our system can more accurately capture emotion than those using a single type of input.”

New Tool for Sculpting Single Photons

Researchers can adjust the frequency and bandwidth of single photons inside an optical fiber, which will be useful for future quantum networks.

Future quantum technologies will require practical techniques for adjusting the frequencies and bandwidths of individual photons to optimize them for various purposes without losing the delicate quantum data that they carry. Now researchers have improved on previous technology and have shown how both properties can be tuned over a wide range inside a short length of standard optical fiber [1]. They expect that this technique will be more practical and effective than current alternatives and will find wide use in interfacing devices in future quantum computing and communications networks.

Photons are likely to provide the means for transmitting information within future quantum networks, but frequent changes to their properties will be required in order for them to carry out a diversity of tasks. For example, a trapped-ion quantum memory emits or absorbs photons at a specific visible wavelength with an extremely narrow bandwidth, which means that a photon with which it interacts must be produced as a relatively long light pulse. In contrast, a high-speed fiber-optic channel works best with infrared photons having much broader bandwidths, which require short light pulses.

Multiply and subtract your way to more lifelike VR avatars

POSTECH’s (Pohang University of Science and Technology) Professor Inseok Hwang’s team has developed ArithMotion, a mobile virtual reality (VR) system that enables anyone to express a wide range of avatar motions with ease. Using simple arithmetic-like controls, users can scale an avatar’s motion up or down and reverse it into an opposite response, allowing more natural nonverbal communication without expensive equipment.

On social VR platforms such as VRChat, people communicate through their avatars’ movements, facial expressions, and gestures. In particular, bodily motions are a key channel for building emotional connections between users and enhancing immersion and a sense of agency. However, because most users do not have access to expensive full-body tracking equipment, they are often limited to repeating preset motions—making natural, spontaneous communication difficult.

In this study, the team focused on a natural form of social behavior known as “peer relativity”—the way people instinctively mirror others’ actions or respond in the opposite direction. They brought this phenomenon directly into VR avatars: when another player celebrates a win with an excited gesture, your avatar can respond in the same way, while threatening behavior from others can trigger a more defensive, protective reaction—preserving a more lifelike sense of social realism.

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