Chronic alcohol use reshapes gene expression in key human brain regions linked to relapse vulnerability and neural damage
Peer-Reviewed Publication
Updates every hour. Last Updated: 27-Jun-2026 14:15 ET (27-Jun-2026 18:15 GMT/UTC)
Analyzing post-mortem brain tissue from individuals with alcohol use disorder, researchers identified significant changes in genes of the endocannabinoid system within the prefrontal cortex and nucleus accumbens. Published in Addiction, the study helps explain impaired impulse control and relapse vulnerability in alcoholism. It also highlights new molecular targets for more effective, personalized treatments.
Researchers in China identified Fusarium cugenangense as a novel causal agent of pear wilt in China. Systemic infection is demonstrated via GFP-labeling and ultrastructural analysis. This is the first report of F. cugenangense causing pear wilt disease in China.
Drug resistance has accelerated in recent years with the emergence of deadly bacteria and “superbugs.” In response to this global health crisis, UC San Diego biologists have developed a new CRISPR-based technology capable of removing antibiotic-resistant elements from populations of bacteria.
Cancer cells often invade different tissues by forming rounded protrusions called blebs. However, the exact mechanism behind this expansion remained unclear. Now, researchers at Kyushu University have discovered that cancer cells use protein clusters to create water pressure inside blebs, which pushes the cell membrane outward, enabling rapid movement. This newly identified mechanism, named “CaMKII-based osmotically-driven deformation or CODE,” reveals a unique physical process that drives the spread of cancer cells inside the body.
Researchers from King Abdullah University of Science and Technology (KAUST) have developed deepBlastoid, the first deep-learning platform specifically designed for the high-throughput, automated classification of human stem cell-derived embryo models (blastoids). By leveraging a ResNet-18 architecture and a novel Confidence Rate metric, the model achieves up to 97% accuracy and processes images 1,000 times faster than human experts. This tool facilitates large-scale drug screening and basic research into early human development by providing a standardized, objective evaluation framework.