Psilocybin is the main psychoactive compound found in hallucinogenic/magic mushrooms and can bind to both serotonergic and tropomyosin receptor kinase b (TrkB) receptors. Psilocybin has begun to show efficacy for a range of neuropsychiatric conditions, including treatment-resistant depression and anxiety disorders; however, neurobiological mechanisms are still being elucidated. Clinical research has found that psilocybin can alter functional connectivity patterns in human brains, which is often associated with therapeutic outcomes. However, preclinical research affords the opportunity to assess the potential cellular mechanisms by which psilocybin may exert its therapeutic effects. Preclinical rodent models can also facilitate a more tightly controlled experimental context and minimise placebo effects. Furthermore, where there is a rationale, preclinical researchers can investigate psilocybin administration in neuropsychiatric conditions that have not yet been researched clinically. As a result, we have systematically reviewed the knowledge base, identifying 82 preclinical studies which were screened based on specific criteria. This resulted in the exclusion of 44 articles, with 34 articles being included in the main review and another 2 articles included as Supporting Information materials. We found that psilocybin shows promise as a lead candidate molecule for treating a variety of neuropsychiatric conditions, albeit showing the most efficacy for depression. We discuss the experimental findings, and identify possible mechanisms whereby psilocybin could invoke therapeutic changes. Furthermore, we critically evaluate the between-study heterogeneity and possible future research avenues. Our review suggests that preclinical rodent models can provide valid and translatable tools for researching novel psilocybin-induced molecular and cellular mechanisms, and therapeutic outcomes.
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http://dx.doi.org/10.1111/jnc.16017 | DOI Listing |
Alzheimers Dement
December 2024
Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.
Background: Behavioural changes are among the first symptoms noticeable to the person themselves as they begin to experience cognitive decline. Blood-based biomarkers could potentially be a less invasive and easily detectable biomarker for early identification of Alzheimer's disease and dementia. However, the contributions and pathobiology of blood biomarkers to disease trajectory and prevalence in Asians requires further definition.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for and Data Science for Integrated Diagnostics (AI2D), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Background: Brain aging is a complex process influenced by various genetic, lifestyle, and environmental factors, as well as by age-related and often co-existing pathologies. MRI and AI methods have been instrumental in understanding neuroanatomical changes that occur during aging in large and diverse populations.
Method: We leveraged Surreal-GAN, a state-of-the-art deep representation learning method, to elucidate the heterogeneity of brain aging by deriving dominant dimensions (patterns) of brain changes and examining their associations with various clinical and genetic factors.
Alzheimers Dement
December 2024
Brain-Computer Interfaces team, ESPCI Paris / PSL Research University, Paris, France.
Background: It is estimated that up to 80% of people with Alzheimer's disease (AD) may have some form of anosognosia. Anosognosia also constitutes a major source of stress for caregivers as it delays diagnosis and affects compliance with treatment. Here, we aimed to explore whether and how early anosognosia and caregiver burden could independently serve as indicators for identifying patients at risk of converting to AD.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Neuropsychiatry, The Royal Melbourne Hospital, Parkville, VIC, Australia.
Background: Young-onset dementia (YOD) refers to the occurrence of dementia symptoms in people under the age of 65. Neuropsychiatric symptoms (NPS) are increasingly considered as the preclinical manifestations of YOD, posing a challenge to differentiate from psychiatric conditions with overlapping symptoms. The aim of this study is to investigate the AT(N), neuronal and glial pathologies underlying NPS and cognition in YOD.
View Article and Find Full Text PDFBackground: In clinical settings, the prognosis of patients with subtle cognitive complaints and no imaging evidence of neurodegeneration is often challenging, especially in conditions unrelated to Alzheimer's Disease (AD). We aimed to identify which baseline indicators can help in the clinical decision-making process of patients with Subjective Cognitive Decline (SCD) and Mild Cognitive Impairment (MCI) without AD pathology, by identifying those with faster brain atrophy for their age.
Method: Young-onset SCD and MCI patients (symptoms ≤65yo) were recruited.
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