Psychedelic Drugs in Mental Disorders: Current Clinical Scope and Deep Learning‐Based Advanced Perspectives DOI Creative Commons
Sung‐Hyun Kim, Sumin Yang,

Jeehye Jung

и другие.

Advanced Science, Год журнала: 2025, Номер unknown

Опубликована: Март 20, 2025

Mental disorders are a representative type of brain disorder, including anxiety, major depressive depression (MDD), and autism spectrum disorder (ASD), that caused by multiple etiologies, genetic heterogeneity, epigenetic dysregulation, aberrant morphological biochemical conditions. Psychedelic drugs such as psilocybin lysergic acid diethylamide (LSD) have been renewed fascinating treatment options gradually demonstrated potential therapeutic effects in mental disorders. However, the multifaceted conditions psychiatric resulting from individuality, complex interplay, intricate neural circuits impact systemic pharmacology psychedelics, which disturbs integration mechanisms may result dissimilar medicinal efficiency. The precise prescription psychedelic remains unclear, advanced approaches needed to optimize drug development. Here, recent studies demonstrating diverse pharmacological psychedelics reviewed, emerging perspectives on structural function, microbiota-gut-brain axis, transcriptome discussed. Moreover, applicability deep learning is highlighted for development basis big data. These provide insight into interindividual factors enhance discovery precision medicine.

Язык: Английский

Psychedelic Drugs in Mental Disorders: Current Clinical Scope and Deep Learning‐Based Advanced Perspectives DOI Creative Commons
Sung‐Hyun Kim, Sumin Yang,

Jeehye Jung

и другие.

Advanced Science, Год журнала: 2025, Номер unknown

Опубликована: Март 20, 2025

Mental disorders are a representative type of brain disorder, including anxiety, major depressive depression (MDD), and autism spectrum disorder (ASD), that caused by multiple etiologies, genetic heterogeneity, epigenetic dysregulation, aberrant morphological biochemical conditions. Psychedelic drugs such as psilocybin lysergic acid diethylamide (LSD) have been renewed fascinating treatment options gradually demonstrated potential therapeutic effects in mental disorders. However, the multifaceted conditions psychiatric resulting from individuality, complex interplay, intricate neural circuits impact systemic pharmacology psychedelics, which disturbs integration mechanisms may result dissimilar medicinal efficiency. The precise prescription psychedelic remains unclear, advanced approaches needed to optimize drug development. Here, recent studies demonstrating diverse pharmacological psychedelics reviewed, emerging perspectives on structural function, microbiota-gut-brain axis, transcriptome discussed. Moreover, applicability deep learning is highlighted for development basis big data. These provide insight into interindividual factors enhance discovery precision medicine.

Язык: Английский

Процитировано

0