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Next-Generation Proteomics of Brain Extracellular Vesicles in Schizophrenia Provide New Clues on the Altered Molecular Connectome

Extracellular vesicles (EVs) are tiny membranous structures that mediate intercellular communication. The role(s) of these vesicles have been widely investigated in the context of neurological diseases; however, their potential implications in the neuropathology subjacent to human psychiatric disorders remain mostly unknown. Here, by using next-generation discovery-driven proteomics, we investigate the potential role(s) of brain EVs (bEVs) in schizophrenia (SZ) by analyzing these vesicles from the three post-mortem anatomical brain regions: the prefrontal cortex (PFC), hippocampus (HC), and caudate (CAU). The results obtained indicate that bEVs from SZ-affected brains contain region-specific proteins that are associated with abnormal GABAergic and glutamatergic transmission.

Alien world found? Massive ‘Super-Earth’ Kepler-139f discovered beyond our solar system—All you need to know

Kepler-139 f is a Neptune-like exoplanet that orbits a G-type star. The mass of this planet is 36 times that of Earth, which takes 355 days to complete one orbit of its star. It was discovered by NASA scientists in 2025.

Aging Well And Optimal Health: Role Of Nutrition (Featuring Emily Ho, PhD)

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Rewriting Physics Textbooks: Scientists Propose a Bold New Theory About the Universe’s Origins

A team of researchers, led by Raúl Jiménez, an ICREA scientist at the University of Barcelona’s Institute of Cosmos Sciences (ICCUB), and working in partnership with the University of Padua (Italy), has introduced a groundbreaking new theory about how the Universe began.

Published in Physical Review Research, their study offers a major shift in how scientists understand the earliest moments following the Big Bang.

The Big Bang is the leading cosmological model explaining how the universe as we know it began approximately 13.8 billion years ago.

Mathematical model sheds light on internal ocean waves and climate prediction

Deep below the surface of the ocean, unseen waves roil and churn the water. These internal waves, traveling between water layers of different temperatures and densities, draw cold, nutrient-rich water up from the depths and play a major role in oceanic circulation. Understanding and modeling their behavior is critical for developing more accurate simulations of an increasingly unpredictable climate.

In a Nature Communications paper, Rensselaer Polytechnic Institute (RPI) Math Professor Yuri V. Lvov, Ph.D. and a team of oceanographers develop a first-of-its-kind model of internal wave dynamics that lays the foundation for new, more reliable models of ocean circulation.

“Internal, wave-driven, vertical mixing is believed to be a main driver of oceanic circulation,” Lvov said. “It shapes Earth’s climate by influencing sea level rise, nutrient fluxes, , and anthropogenic heat and carbon uptake.”

Harvard’s ultra-thin chip could revolutionize quantum computing

Researchers at Harvard have created a groundbreaking metasurface that can replace bulky and complex optical components used in quantum computing with a single, ultra-thin, nanostructured layer. This innovation could make quantum networks far more scalable, stable, and compact. By harnessing the power of graph theory, the team simplified the design of these quantum metasurfaces, enabling them to generate entangled photons and perform sophisticated quantum operations — all on a chip thinner than a human hair. It's a radical leap forward for room-temperature quantum technology and photonics.

Scientists create an artificial cell capable of navigating its environment using chemistry alone

Researchers at the Institute for Bioengineering of Catalonia (IBEC) have created the world’s simplest artificial cell capable of chemical navigation, migrating toward specific substances like living cells do.

This breakthrough, published in Science Advances, demonstrates how microscopic bubbles can be programmed to follow chemical trails. The study describes the development of a “minimal cell” in the form of a lipid encapsulating enzymes that can propel itself through chemotaxis.

Cellular transport is a vital aspect of many biological processes and a key milestone in evolution. Among all types of movement, chemotaxis is an essential strategy used by many living systems to move towards beneficial signals, such as nutrients, or away from harmful ones.

Navigating protein landscapes with a machine-learned transferable coarse-grained model

Designing simplified models for protein simulation has been a significant challenge for several decades. Using a diverse set of test proteins, and a deep-learning architecture, we have now developed a simple and chemically transferable force field for efficient simulation of protein sequences.