Thursday 23 April 2026

Science Daily

  1. Scientists have identified two specific types of brain cells that behave differently in people with depression, offering a clearer picture of what is happening inside the brain. By analyzing donated brain tissue with advanced genetic tools, the researchers found changes in neurons linked to mood and stress, as well as in immune-related microglia cells. These differences point to disruptions in key brain systems and reinforce that depression is rooted in biology, not just emotions.
  2. A rare group of adults over 80, known as SuperAgers, are rewriting what we thought was possible for the aging brain. With memory abilities comparable to people decades younger, their brains either resist or withstand the damage typically linked to Alzheimer’s disease. Decades of research reveal that their social lifestyles and unique brain biology may hold the key to preserving cognitive function. Scientists believe these insights could pave the way for new strategies to delay or even prevent dementia.
  3. A new minimally invasive procedure may help people keep weight off after stopping popular drugs like Ozempic and semaglutide—something most patients struggle with. In a clinical trial, those who underwent a technique called duodenal mucosal resurfacing regained far less weight compared to others after discontinuing the medication. The procedure works by renewing the lining of the upper small intestine, potentially “resetting” metabolism and preserving the benefits of weight loss.
  4. Scientists at UC Irvine have found a way to potentially reverse age-related vision loss by targeting the ELOVL2 “aging gene” and restoring vital fatty acids in the retina. Their experiments in mice show that supplementing with specific polyunsaturated fatty acids—not just DHA—can restore visual function and even reverse cellular aging signs.
  5. Physicists have taken a major step toward using AI not just to analyze data, but to uncover entirely new laws of nature. By combining a specially designed neural network with precise 3D tracking of particles in a dusty plasma—a strange “fourth state of matter” found from space to wildfires—the team revealed hidden patterns in how particles interact. Their model captured complex, one-way (non-reciprocal) forces with over 99% accuracy and even overturned long-held assumptions about how these forces behave.

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