Muscle protein linked to exercise opens new way to treat Alzheimer’s
Peer-Reviewed Publication
Updates every hour. Last Updated: 20-Dec-2025 14:11 ET (20-Dec-2025 19:11 GMT/UTC)
A study unveils a novel strategy to combat Alzheimer’s disease (AD) by targeting muscle health. Researchers found that skeletal muscles, through the protein Cathepsin B (Ctsb) released during exercise, can protect cognitive function. In AD-model mice, boosting muscle Ctsb improved memory and motor skills, even without reducing classic brain plaques. The treatment promoted hippocampal cell growth and restored critical protein balance, revealing a powerful muscle-brain connection. This work suggests exercise, gene therapy or drugs that enhance muscle Ctsb could offer a promising new avenue against cognitive decline.
A promising new targeted cancer therapy is now available to certain patients with advanced pancreatic cancer – from the comfort of their home. The treatment is available through a first-of-its-kind, entirely telehealth-based targeted cancer drug therapy nationwide clinical trial led by The Ohio State University Comprehensive Cancer Center – Arthur G. James Cancer Hospital and Richard J. Solove Research Institute (OSUCCC – James).
ARC Innovation at Sheba Medical Center and Icahn School of Medicine at Mount Sinai (part of the Mount Sinai Health System in New York City) today announced a landmark three-year collaboration with NVIDIA to harness the power of artificial intelligence for genomic discovery through the application of large language model (LLM) technology. The initiative aims to pioneer the decoding of the majority of the human genome that remains poorly understood in order to unlock new pathways for disease prevention, diagnosis, and treatment. Over the three-year period, the project will be supported by significant investment from the participating organizations, with the goal of accelerating research that can ultimately benefit patients worldwide.
A research team has tested how well three large language models can detect overlaps and redundancies in clinical questionnaires on mental illness / publication in ‘Nature Mental Health’