When minds align: a neural basis for flocking
Peer-Reviewed Publication
Updates every hour. Last Updated: 2-Jan-2026 03:11 ET (2-Jan-2026 08:11 GMT/UTC)
When animals move together in flocks, herds, or schools, neural dynamics in their brain become synchronized through shared ways of representing space, a new study by researchers from the University of Konstanz (Germany) suggests. The findings challenge the conventional view of how collective motion arises in nature.
Hutchinson-Gilford progeria syndrome (HGPS) is a rare premature aging disease, and approximately 90% of cases are caused by progerin. Progerin is toxic and causes diverse abnormalities. More and more studies show that progerin is also detected in physiological aging and chronic kidney disease (CKD). Thus, targeting progerin clearance shows powerful potential for the treatment of HGPS, CKD and aging-related diseases. Now, Zhang group from Peking University and Kunming University of Science and Technology, reports that activating lysosome biogenesis can promote progerin clearance and alleviate cellular senescence in HGPS. They identify lysosome defects as a prevalent feature in HGPS, which impairs progerin clearance, and reveal that activating lysosome biogenesis can counteract lysosome defects and accelerate progerin clearance and mitigate DNA damage, cell cycle arrest, low proliferation ability and senescence-associated secretory phenotype (SASP) in HGPS cells. The findings highlight the vital role of lysosomes in progerin clearance, and uncover the potential of targeting lysosome biogenesis in anti-senescence.
Cervical cancer will be the first human cancer eliminated through coordinated global action.
Researchers have shown that young rats fed a ketogenic diet – a diet with high fat and low carbohydrates – are protected from the lasting experience of pre-natal stress. This work, which needs to be confirmed in humans, is presented at the ECNP conference in Amsterdam
A research team has developed advanced methodologies for predicting the aboveground biomass (AGB) of corn by integrating unmanned aerial vehicles (UAVs), multi-sensor data, and machine learning models.