{"title":"Oxytocin Signaling Bridges Social and Appetitive Functions in the Rodent Hippocampus","authors":"Henry W. Kietzman","doi":"10.1016/j.biopsych.2024.12.010","DOIUrl":"10.1016/j.biopsych.2024.12.010","url":null,"abstract":"","PeriodicalId":8918,"journal":{"name":"Biological Psychiatry","volume":"97 5","pages":"Pages 425-427"},"PeriodicalIF":9.6,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143180554","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Navigating Neuroimaging Challenges in Rare Neurogenetic Disorders: A Case Example From Girls With Fragile X Syndrome","authors":"Lauren M. Schmitt , Elizabeth G. Smith","doi":"10.1016/j.biopsych.2024.12.005","DOIUrl":"10.1016/j.biopsych.2024.12.005","url":null,"abstract":"","PeriodicalId":8918,"journal":{"name":"Biological Psychiatry","volume":"97 5","pages":"Pages 418-419"},"PeriodicalIF":9.6,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143180552","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sarah D Lichenstein, Brian D Kiluk, Marc N Potenza, Hugh Garavan, Bader Chaarani, Tobias Banaschewski, Arun L W Bokde, Sylvane Desrivières, Herta Flor, Antoine Grigis, Penny Gowland, Andreas Heinz, Rüdiger Brühl, Jean-Luc Martinot, Marie-Laure Paillère Martinot, Eric Artiges, Frauke Nees, Dimitri Papadopoulos Orfanos, Luise Poustka, Sarah Hohmann, Nathalie Holz, Christian Baeuchl, Michael N Smolka, Nilakshi Vaidya, Henrik Walter, Robert Whelan, Gunter Schumann, Godfrey Pearlson, Sarah W Yip
{"title":"Identification and external validation of a problem cannabis risk network.","authors":"Sarah D Lichenstein, Brian D Kiluk, Marc N Potenza, Hugh Garavan, Bader Chaarani, Tobias Banaschewski, Arun L W Bokde, Sylvane Desrivières, Herta Flor, Antoine Grigis, Penny Gowland, Andreas Heinz, Rüdiger Brühl, Jean-Luc Martinot, Marie-Laure Paillère Martinot, Eric Artiges, Frauke Nees, Dimitri Papadopoulos Orfanos, Luise Poustka, Sarah Hohmann, Nathalie Holz, Christian Baeuchl, Michael N Smolka, Nilakshi Vaidya, Henrik Walter, Robert Whelan, Gunter Schumann, Godfrey Pearlson, Sarah W Yip","doi":"10.1016/j.biopsych.2025.01.022","DOIUrl":"https://doi.org/10.1016/j.biopsych.2025.01.022","url":null,"abstract":"<p><strong>Background: </strong>Cannabis use is common, particularly during emerging adulthood when brain development is ongoing, and its use is associated with harmful outcomes for a subset of people. An improved understanding of the neural mechanisms underlying risk for problem-level use is critical to facilitate the development of more effective prevention and treatment approaches.</p><p><strong>Methods: </strong>The current study applied a whole-brain, data-driven, machine-learning approach to identify neural features predictive of problem-level cannabis use in a non-clinical sample of college students (n=191, 58% female) based on reward task functional connectivity data. We further examined whether the network identified would generalize to predict cannabis use in an independent sample of European adolescents/emerging adults (n=1320, 53% female), whether it would predict clinical characteristics among adults seeking treatment for cannabis use disorder (n=33, 9% female), and whether it was specific for predicting cannabis versus alcohol use outcomes across datasets.</p><p><strong>Results: </strong>Results demonstrated (i) identification of a problem cannabis risk network, which (ii) generalized to predict cannabis use in an independent sample of adolescents, and (iii) linked to increased addiction severity and poorer treatment outcome in a third sample of treatment-seeking adults; further, (iv) the identified network was specific for predicting cannabis versus alcohol use outcomes across all three datasets.</p><p><strong>Conclusions: </strong>Findings provide insight into neural mechanisms of risk for problem-level cannabis use among adolescents/emerging adults. Future work is needed to assess whether targeting this network can improve prevention and treatment outcomes.</p>","PeriodicalId":8918,"journal":{"name":"Biological Psychiatry","volume":" ","pages":""},"PeriodicalIF":9.6,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143254251","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cassiano Ricardo Alves Faria Diniz , Ana Paula Crestani , Plinio Cabrera Casarotto , Caroline Biojone , Cecilia Cannarozzo , Frederike Winkel , Mikhail A. Prozorov , Erik F. Kot , Sergey A. Goncharuk , Danilo Benette Marques , Leonardo Rakauskas Zacharias , Henri Autio , Madhusmita Priyadarshini Sahu , Anna Bárbara Borges-Assis , João Pereira Leite , Konstantin S. Mineev , Eero Castrén , Leonardo Barbosa Moraes Resstel
{"title":"Fluoxetine and Ketamine Enhance Extinction Memory and Brain Plasticity by Triggering the p75 Neurotrophin Receptor Proteolytic Pathway","authors":"Cassiano Ricardo Alves Faria Diniz , Ana Paula Crestani , Plinio Cabrera Casarotto , Caroline Biojone , Cecilia Cannarozzo , Frederike Winkel , Mikhail A. Prozorov , Erik F. Kot , Sergey A. Goncharuk , Danilo Benette Marques , Leonardo Rakauskas Zacharias , Henri Autio , Madhusmita Priyadarshini Sahu , Anna Bárbara Borges-Assis , João Pereira Leite , Konstantin S. Mineev , Eero Castrén , Leonardo Barbosa Moraes Resstel","doi":"10.1016/j.biopsych.2024.06.021","DOIUrl":"10.1016/j.biopsych.2024.06.021","url":null,"abstract":"<div><h3>Background</h3><div>Diverse antidepressants were recently described to bind to TrkB (tyrosine kinase B) and drive a positive allosteric modulation of endogenous BDNF (brain-derived neurotrophic factor). Although neurotrophins such as BDNF can bind to p75NTR (p75 neurotrophin receptor), their precursors are the high-affinity p75NTR ligands. While part of an unrelated receptor family capable of inducing completely opposite physiological changes, TrkB and p75NTR feature a crosslike conformation dimer and carry a cholesterol-recognition amino acid consensus in the transmembrane domain. As such qualities were found to be crucial for antidepressants to bind to TrkB and drive behavioral and neuroplasticity effects, we hypothesized that their effects might also depend on p75NTR.</div></div><div><h3>Methods</h3><div>Enzyme-linked immunosorbent assay–based binding and nuclear magnetic resonance spectroscopy were performed to assess whether antidepressants would bind to p75NTR. HEK293T cells and a variety of in vitro assays were used to investigate whether fluoxetine (FLX) or ketamine (KET) would trigger any α- and γ-secretase–dependent p75NTR proteolysis and lead to p75NTR nuclear localization. Ocular dominance shift was performed with male and female p75NTR knockout mice to study the effects of KET and FLX on brain plasticity, in addition to pharmacological interventions to verify how p75NTR signaling is important for the effects of KET and FLX in enhancing extinction memory in male wild-type mice and rats.</div></div><div><h3>Results</h3><div>Antidepressants were found to bind to p75NTR. FLX and KET triggered the p75NTR proteolytic pathway and induced p75NTR-dependent behavioral/neuroplasticity changes.</div></div><div><h3>Conclusions</h3><div>We hypothesize that antidepressants co-opt both BDNF/TrkB and proBDNF/p75NTR systems to induce a more efficient activity-dependent synaptic competition, thereby boosting the brain’s ability for remodeling.</div></div>","PeriodicalId":8918,"journal":{"name":"Biological Psychiatry","volume":"97 3","pages":"Pages 248-260"},"PeriodicalIF":9.6,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141465994","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Revisiting Neuroimaging Endophenotypes in the Era of Machine Learning: The Key Role of Clinical Measures in Identifying Risk for Bipolar Disorder","authors":"Nefize Yalin","doi":"10.1016/j.biopsych.2024.11.005","DOIUrl":"10.1016/j.biopsych.2024.11.005","url":null,"abstract":"","PeriodicalId":8918,"journal":{"name":"Biological Psychiatry","volume":"97 3","pages":"Pages 215-216"},"PeriodicalIF":9.6,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142891767","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}