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UC Davis researchers developed novel compounds that activate serotonin receptors associated with neuroplasticity and mental health in animal models, without producing hallucinations. The work represents early-stage discovery that may eventually inform treatments for depression, PTSD, and addiction.
Researchers from Nordic and German institutions are developing DNA-based testing using polygenic risk scores to predict antidepressant medication effectiveness for depression and anxiety patients. This pharmacogenomic approach analyzes genetic variations associated with mental health conditions and medication response to potentially reduce treatment trial-and-error.
Researchers used machine learning to analyze naturalistic hand and finger movements during grasping tasks in autistic and non-autistic individuals, finding potential diagnostic differences. This objective biomechanical approach could offer a simpler, more accessible diagnostic pathway for autism spectrum disorder, though further validation is needed before clinical implementation.
Research indicates that autistic and non-autistic individuals show no significant difference in communication effectiveness, contradicting common misconceptions about autistic social deficits. The study challenges stereotypes that portray autistic people as inherently struggling to connect with others.
Researchers at Kobe University created 63 mouse embryonic stem cell lines with autism-associated genetic mutations using CRISPR editing to model autism-linked conditions. These cell models help identify key dysfunctions in autism biology, such as impaired protein clearance in the brain, advancing mechanistic understanding of the disorder.
