Pub Date : 2025-02-27DOI: 10.1016/j.pnpbp.2025.111304
Susana Barbosa , Ryad Tamouza , Marion Leboyer , Bruno Aouizerate , Christelle Andrieu , Myrtille Andre , Wahid Boukouaci , Delphine Capdevielle , Isabelle Chereau , Julie Clauss Kobayashi , Nathalie Coulon , Jean-Michel Dorey , Laetitia Davidovic , Caroline Dubertret , Eric Fakra , Guillaume Fond , Tudi Goze , Olfa Khalfallah , Sylvain Leignier , Pierre Michel Llorca , Ophélia Godin
Background
Schizophrenia (SZ) commonly manifests through multiple relapses, each impeding the path to recovery and incurring personal and societal costs. Despite the identification of various risk factors associated to the risk of relapse, the development of accurate algorithms predictive of relapse has been limited, partly due to inadequate statistical methods. Additionally, despite the wealth of data showing strong associations between inflammation and schizophrenia, the two existing studies failed to demonstrate whether inflammatory parameters could predict relapse. Our goal is then to identify clinical and inflammatory parameters associated with relapse in schizophrenia and to develop model to predict relapse in each patient.
Methods
We have used classical Cox regression, survival penalized regression, as well as survival random forests to analyze clinical and inflammatory biological data collected in the network of the Schizophrenia Expert Centers in France in which individuals with SZ are clinically assessed and followed up annually for 3 years.
Results
Among 247 individuals with SZ, 71 (29 %) experienced a psychotic relapse during the 3-year follow-up period. The variables most consistently associated with relapses were smoking status, severity of positive symptoms and low global functioning. From a panel of inflammatory parameters, only IL-8 serum levels were associated with time to relapse. The predictive performance, assessed using C-index, was 0.54 using both penalized regression and random forests.
Conclusions
We found several clinical and biological variables consistently associated with relapses across three distinct statistical methods. However, despite these associations, the predictive capacity of these models remained low, highlighting that association does not necessarily mean prediction.
{"title":"Prediction of relapse in a French cohort of outpatients with schizophrenia (FACE-SZ): Prediction, not association.","authors":"Susana Barbosa , Ryad Tamouza , Marion Leboyer , Bruno Aouizerate , Christelle Andrieu , Myrtille Andre , Wahid Boukouaci , Delphine Capdevielle , Isabelle Chereau , Julie Clauss Kobayashi , Nathalie Coulon , Jean-Michel Dorey , Laetitia Davidovic , Caroline Dubertret , Eric Fakra , Guillaume Fond , Tudi Goze , Olfa Khalfallah , Sylvain Leignier , Pierre Michel Llorca , Ophélia Godin","doi":"10.1016/j.pnpbp.2025.111304","DOIUrl":"10.1016/j.pnpbp.2025.111304","url":null,"abstract":"<div><h3>Background</h3><div>Schizophrenia (SZ) commonly manifests through multiple relapses, each impeding the path to recovery and incurring personal and societal costs. Despite the identification of various risk factors associated to the risk of relapse, the development of accurate algorithms predictive of relapse has been limited, partly due to inadequate statistical methods. Additionally, despite the wealth of data showing strong associations between inflammation and schizophrenia, the two existing studies failed to demonstrate whether inflammatory parameters could predict relapse. Our goal is then to identify clinical and inflammatory parameters associated with relapse in schizophrenia and to develop model to predict relapse in each patient.</div></div><div><h3>Methods</h3><div>We have used classical Cox regression, survival penalized regression, as well as survival random forests to analyze clinical and inflammatory biological data collected in the network of the Schizophrenia Expert Centers in France in which individuals with SZ are clinically assessed and followed up annually for 3 years.</div></div><div><h3>Results</h3><div>Among 247 individuals with SZ, 71 (29 %) experienced a psychotic relapse during the 3-year follow-up period. The variables most consistently associated with relapses were smoking status, severity of positive symptoms and low global functioning. From a panel of inflammatory parameters, only IL-8 serum levels were associated with time to relapse. The predictive performance, assessed using C-index, was 0.54 using both penalized regression and random forests.</div></div><div><h3>Conclusions</h3><div>We found several clinical and biological variables consistently associated with relapses across three distinct statistical methods. However, despite these associations, the predictive capacity of these models remained low, highlighting that association does not necessarily mean prediction.</div></div>","PeriodicalId":54549,"journal":{"name":"Progress in Neuro-Psychopharmacology & Biological Psychiatry","volume":"137 ","pages":"Article 111304"},"PeriodicalIF":5.3,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143534477","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-27DOI: 10.1016/j.pnpbp.2025.111305
Marc-André Dubois , Charles-Antoine Pelletier , Valérie Jomphe , Richard E. Bélanger , Simon Grondin , Marc Hébert
Background
Electroretinography (ERG) shows promise for identifying psychiatric biomarkers. The gold-standard approach relies on Dawson-Trick-Litzkow (DTL) electrodes and desktop equipment, but high costs and the expertise required for reliable electrode placement limit its implementation. This study evaluates a cost-effective alternative: a handheld ERG device paired with less invasive self-adhesive skin electrodes, which require minimal training.
Methods
ERG responses to cone and rod luminance stimuli were recorded from 49 participants: 15 controls (8 women, 7 men), 18 with bipolar disorder (12 women, 6 men), and 16 with schizophrenia (4 women, 12 men). Each participant underwent ERG testing with both electrode types.
Results
Skin electrodes produced significantly smaller amplitudes and shorter latencies than DTL electrodes, except for longer scotopic b-wave latency. Women showed higher amplitudes and shorter latencies than men for both electrode types, with the photopic a-wave amplitude relative difference doubling when using skin electrodes. Reproducibility between eyes was high for both electrode types, though slightly lower for photopic a-wave with skin electrodes (ICC 0.76 vs. 0.86 for DTL).
Conclusion
Skin electrodes paired with handheld ERG devices offer a viable, accessible alternative to traditional DTL electrodes paired with desktop equipment. This approach has the potential to expand the applicability of ERG in clinical settings by addressing barriers like cost, complexity, and invasiveness, while highlighting the need to consider sex differences in ERG assessments, particularly with skin electrodes.
{"title":"Validating skin electrodes: Paving the way for non-invasive ERG use in psychiatry","authors":"Marc-André Dubois , Charles-Antoine Pelletier , Valérie Jomphe , Richard E. Bélanger , Simon Grondin , Marc Hébert","doi":"10.1016/j.pnpbp.2025.111305","DOIUrl":"10.1016/j.pnpbp.2025.111305","url":null,"abstract":"<div><h3>Background</h3><div>Electroretinography (ERG) shows promise for identifying psychiatric biomarkers. The gold-standard approach relies on Dawson-Trick-Litzkow (DTL) electrodes and desktop equipment, but high costs and the expertise required for reliable electrode placement limit its implementation. This study evaluates a cost-effective alternative: a handheld ERG device paired with less invasive self-adhesive skin electrodes, which require minimal training.</div></div><div><h3>Methods</h3><div>ERG responses to cone and rod luminance stimuli were recorded from 49 participants: 15 controls (8 women, 7 men), 18 with bipolar disorder (12 women, 6 men), and 16 with schizophrenia (4 women, 12 men). Each participant underwent ERG testing with both electrode types.</div></div><div><h3>Results</h3><div>Skin electrodes produced significantly smaller amplitudes and shorter latencies than DTL electrodes, except for longer scotopic b-wave latency. Women showed higher amplitudes and shorter latencies than men for both electrode types, with the photopic a-wave amplitude relative difference doubling when using skin electrodes. Reproducibility between eyes was high for both electrode types, though slightly lower for photopic a-wave with skin electrodes (ICC 0.76 vs. 0.86 for DTL).</div></div><div><h3>Conclusion</h3><div>Skin electrodes paired with handheld ERG devices offer a viable, accessible alternative to traditional DTL electrodes paired with desktop equipment. This approach has the potential to expand the applicability of ERG in clinical settings by addressing barriers like cost, complexity, and invasiveness, while highlighting the need to consider sex differences in ERG assessments, particularly with skin electrodes.</div></div>","PeriodicalId":54549,"journal":{"name":"Progress in Neuro-Psychopharmacology & Biological Psychiatry","volume":"137 ","pages":"Article 111305"},"PeriodicalIF":5.3,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143534982","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-26DOI: 10.1016/j.pnpbp.2025.111293
Qiaosen Shen , Feng Zhao , Na Zhang , Ling Zheng , Dongmei Su , Yongyi Qian , Liu Xin , Sun Mingxia , Zhang Hongxu , Fangyi Chen , Wenhui Qiu , Dong Liu
Exposure to the estrogenic pollutant bisphenol A (BPA) during pregnancy and early childhood is a risk factor for numerous neurodevelopmental and psychiatric disorders in humans. To understand why early BPA exposure is associated with attention deficit hyperactivity disorder (ADHD) and autism spectrum disorder (ASD), we have analyzed a series of zebrafish behaviors, neurodevelopmental process, and gene expression profiles, after a moderate level of estrogen (17β-estradiol, E2, as a positive control) and BPA treatments during embryogenesis (2–48 h post fertilization). E2 exposure-caused hyperactivity was likely due to elevated expression of cyp19a1b since blocking aromatase activity rescued the defect. Furthermore, E2 exposure resulted in impulsive behaviors, perhaps due to a reduced expression of brain th (crucial for dopamine synthesis), resembling the ADHD phenotypes. However, the hyperactivity upon BPA exposure was due to a reduction of GABAergic neurons, particularly in the midbrain. BPA-exposed fish were less-social, with increased repetitive behaviors and escape rate (during strobe light stimulation), like the ASD phenotypes. Taking advantage of published single-cell and bulk RNA-sequencing data related to zebrafish BPA exposure, we uncovered that embryonic midbrain GABAergic neurons express less stmn1a upon BPA exposure. When stmn1a function was partially lost, 14-day post-fertilization larvae became less social, further stressing the ASD phenotype after BPA exposure. Upon embryonic E2 and BPA exposure, we have unexpectedly unveiled zebrafish ADHD-like and ASD-like phenotypes, respectively, suggesting that women of childbearing age should be cautious to use BPA and estrogen related products.
{"title":"Embryonic exposure of estrogen and BPA in zebrafish leads to ADHD-like and ASD-like phenotypes, respectively","authors":"Qiaosen Shen , Feng Zhao , Na Zhang , Ling Zheng , Dongmei Su , Yongyi Qian , Liu Xin , Sun Mingxia , Zhang Hongxu , Fangyi Chen , Wenhui Qiu , Dong Liu","doi":"10.1016/j.pnpbp.2025.111293","DOIUrl":"10.1016/j.pnpbp.2025.111293","url":null,"abstract":"<div><div>Exposure to the estrogenic pollutant bisphenol A (BPA) during pregnancy and early childhood is a risk factor for numerous neurodevelopmental and psychiatric disorders in humans. To understand why early BPA exposure is associated with attention deficit hyperactivity disorder (ADHD) and autism spectrum disorder (ASD), we have analyzed a series of zebrafish behaviors, neurodevelopmental process, and gene expression profiles, after a moderate level of estrogen (17β-estradiol, E<sub>2</sub>, as a positive control) and BPA treatments during embryogenesis (2–48 h post fertilization). E<sub>2</sub> exposure-caused hyperactivity was likely due to elevated expression of <em>cyp19a1b</em> since blocking aromatase activity rescued the defect. Furthermore, E<sub>2</sub> exposure resulted in impulsive behaviors, perhaps due to a reduced expression of brain <em>th</em> (crucial for dopamine synthesis), resembling the ADHD phenotypes. However, the hyperactivity upon BPA exposure was due to a reduction of GABAergic neurons, particularly in the midbrain. BPA-exposed fish were less-social, with increased repetitive behaviors and escape rate (during strobe light stimulation), like the ASD phenotypes. Taking advantage of published single-cell and bulk RNA-sequencing data related to zebrafish BPA exposure, we uncovered that embryonic midbrain GABAergic neurons express less <em>stmn1a</em> upon BPA exposure. When <em>stmn1a</em> function was partially lost, 14-day post-fertilization larvae became less social, further stressing the ASD phenotype after BPA exposure. Upon embryonic E<sub>2</sub> and BPA exposure, we have unexpectedly unveiled zebrafish ADHD-like and ASD-like phenotypes, respectively, suggesting that women of childbearing age should be cautious to use BPA and estrogen related products.</div></div>","PeriodicalId":54549,"journal":{"name":"Progress in Neuro-Psychopharmacology & Biological Psychiatry","volume":"137 ","pages":"Article 111293"},"PeriodicalIF":5.3,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143532190","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-25DOI: 10.1016/j.pnpbp.2025.111302
Bo Pan , Xueying Li , Jianjun Weng , Xiaofeng Xu , Ping Yu , Yaqin Zhao , Doudou Yu , Xiangrong Zhang , Xiaowei Tang
Schizophrenia is a complex mental disorder. Accurate diagnosis and classification of schizophrenia has always been a major challenge in clinic due to the lack of biomarkers. Therefore, identifying molecular biomarkers, particularly in the peripheral blood, is of great significance. This study aimed to identify immune-related molecular biomarkers of schizophrenia in peripheral blood. Eighty-four Peripheral blood leukocytes of first-episode drug-naïve (FEDN) patients with schizophrenia and 97 healthy controls were collected and examined using high-throughput RNA-sequencing. Differentially-expressed genes (DEGs) were analysed. Weighted correlation network analysis (WGCNA) was employed to identify schizophrenia-associated module genes. The CIBERSORT algorithm was adopted to analyse immune cell proportions. Then, machine-learning algorithms including random forest, LASSO, and SVM-RFE were employed to screen immune-related predictive genes of schizophrenia. The RNA-seq analyses revealed 734 DEGs. Further machine-learning-based bioinformatic analyses screened out three immune-related predictive genes of schizophrenia (FOSB, NUP43, and H3C1), all of which were correlated with neutrophils and natural killer cells resting. Lastly, external GEO datasets were used to verify the performance of the machine-learning models with these predictive genes. In conclusion, by analysing the peripheral mRNA expression profiles of FEDN patients with schizophrenia, this study identified three predictive genes that could be potential molecular biomarkers for schizophrenia.
{"title":"Identifying periphery biomarkers of first-episode drug-naïve patients with schizophrenia using machine-learning-based strategies","authors":"Bo Pan , Xueying Li , Jianjun Weng , Xiaofeng Xu , Ping Yu , Yaqin Zhao , Doudou Yu , Xiangrong Zhang , Xiaowei Tang","doi":"10.1016/j.pnpbp.2025.111302","DOIUrl":"10.1016/j.pnpbp.2025.111302","url":null,"abstract":"<div><div>Schizophrenia is a complex mental disorder. Accurate diagnosis and classification of schizophrenia has always been a major challenge in clinic due to the lack of biomarkers. Therefore, identifying molecular biomarkers, particularly in the peripheral blood, is of great significance. This study aimed to identify immune-related molecular biomarkers of schizophrenia in peripheral blood. Eighty-four Peripheral blood leukocytes of first-episode drug-naïve (FEDN) patients with schizophrenia and 97 healthy controls were collected and examined using high-throughput RNA-sequencing. Differentially-expressed genes (DEGs) were analysed. Weighted correlation network analysis (WGCNA) was employed to identify schizophrenia-associated module genes. The CIBERSORT algorithm was adopted to analyse immune cell proportions. Then, machine-learning algorithms including random forest, LASSO, and SVM-RFE were employed to screen immune-related predictive genes of schizophrenia. The RNA-seq analyses revealed 734 DEGs. Further machine-learning-based bioinformatic analyses screened out three immune-related predictive genes of schizophrenia (FOSB, NUP43, and H3C1), all of which were correlated with neutrophils and natural killer cells resting. Lastly, external GEO datasets were used to verify the performance of the machine-learning models with these predictive genes. In conclusion, by analysing the peripheral mRNA expression profiles of FEDN patients with schizophrenia, this study identified three predictive genes that could be potential molecular biomarkers for schizophrenia.</div></div>","PeriodicalId":54549,"journal":{"name":"Progress in Neuro-Psychopharmacology & Biological Psychiatry","volume":"137 ","pages":"Article 111302"},"PeriodicalIF":5.3,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143509518","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-25DOI: 10.1016/j.pnpbp.2025.111303
Peng Cheng, Zhening Liu, Feiwen Wang, Jun Yang, Jie Yang
Background
Working memory (WM) is a dynamic process linked to whole-brain functional connectome time-varying re-configuration. The neural dynamics underlying WM deficits in adolescents with early-onset schizophrenia (EOS), who have higher genetic loads and immature WM neural substrates, still remain unclear.
Methods
We used dynamic voxel-wise degree centrality (dDC) to explore the dynamic profile of whole-brain functional connectome in 51 adolescents with EOS and 45 healthy controls (HCs) during an n-back task. We assessed the group-related dDC time-varying variability and clustered meta-states differences between EOS and HCs. Correlation analysis also applied between the detected areas with clinical symptoms and WM performances, and detected areas further allowed for image transcription analyses.
Results
We did not observe any group-related differences in the dDC time-varying instability. In the clustered dominant state 1, when facing with increased WM loads, EOS showed decreased dDC compared with HCs in the left insula, anterior and posterior lobe of the cerebellum, bilateral inferior parietal lobule, left pons, bilateral superior temporal gyrus, rectus gyrus, precuneus, bilateral inferior frontal gyrus (IFG), etc. Enrichment analysis reveals these detected areas related to synaptic function, neuronal communication, and metabolic processes.
Conclusion
This is the first study to investigate the abnormal time-varying pattern of the whole-brain connectome in EOS during the WM task and its molecular foundation. It demonstrated impaired neural resource allocation between frontoparietal, default-mode, and salience networks and the associated metabolic processes may underlie WM deficits in EOS, which can provide knowledge for targeted interventions and future research.
{"title":"Dynamic functional connectome configurations underlying working memory deficits in adolescents with early-onset schizophrenia","authors":"Peng Cheng, Zhening Liu, Feiwen Wang, Jun Yang, Jie Yang","doi":"10.1016/j.pnpbp.2025.111303","DOIUrl":"10.1016/j.pnpbp.2025.111303","url":null,"abstract":"<div><h3>Background</h3><div>Working memory (WM) is a dynamic process linked to whole-brain functional connectome time-varying re-configuration. The neural dynamics underlying WM deficits in adolescents with early-onset schizophrenia (EOS), who have higher genetic loads and immature WM neural substrates, still remain unclear.</div></div><div><h3>Methods</h3><div>We used dynamic voxel-wise degree centrality (dDC) to explore the dynamic profile of whole-brain functional connectome in 51 adolescents with EOS and 45 healthy controls (HCs) during an n-back task. We assessed the group-related dDC time-varying variability and clustered meta-states differences between EOS and HCs. Correlation analysis also applied between the detected areas with clinical symptoms and WM performances, and detected areas further allowed for image transcription analyses.</div></div><div><h3>Results</h3><div>We did not observe any group-related differences in the dDC time-varying instability. In the clustered dominant state 1, when facing with increased WM loads, EOS showed decreased dDC compared with HCs in the left insula, anterior and posterior lobe of the cerebellum, bilateral inferior parietal lobule, left pons, bilateral superior temporal gyrus, rectus gyrus, precuneus, bilateral inferior frontal gyrus (IFG), etc. Enrichment analysis reveals these detected areas related to synaptic function, neuronal communication, and metabolic processes.</div></div><div><h3>Conclusion</h3><div>This is the first study to investigate the abnormal time-varying pattern of the whole-brain connectome in EOS during the WM task and its molecular foundation. It demonstrated impaired neural resource allocation between frontoparietal, default-mode, and salience networks and the associated metabolic processes may underlie WM deficits in EOS, which can provide knowledge for targeted interventions and future research.</div></div>","PeriodicalId":54549,"journal":{"name":"Progress in Neuro-Psychopharmacology & Biological Psychiatry","volume":"137 ","pages":"Article 111303"},"PeriodicalIF":5.3,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143509533","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-25DOI: 10.1016/j.pnpbp.2025.111299
Unai Sarriés-Serrano , Lluis Miquel-Rio , Noemí Santana , Verónica Paz , María Sancho-Alonso , Luis F. Callado , J. Javier Meana , Analia Bortolozzi
Major depressive disorder (MDD) is characterized by significant impairment in social, emotional, and cognitive functioning. Its precise pathophysiology remains poorly understood. Alterations in protein homeostasis and some misfolded proteins have been identified within the brains of patients diagnosed with neuropsychiatric disorders. In contrast to neurodegenerative processes such as Parkinson's disease (PD), where the accumulation of aggregated α-synuclein (α-Syn) protein is a primary cause of significant neuronal loss, altered proteostasis in MDD may result in loss-of-function effects by modifying synaptic neuroplasticity. Moreover, aberrant activation of endoplasmic reticulum (ER) pathways may intensify the pathological alterations due to altered proteostasis. In this study, dorsolateral prefrontal cortex (dlPFC) and caudate nucleus from MDD patients and non-psychiatric controls were used. Postmortem samples of same brain areas from PD patients (Braak 2–3 and 5–6) and controls were also included. Protein levels of ER and unfolded protein response (UPR), synucleins (α-, β- and γ-Syn), and brain-derived neurotrophic factor (BDNF) were measured by Western-Blot. Phospho-eIF2α/eIF2α ratio was increased in the dlPFC and caudate nucleus of MDD and PD patients compared to their respective controls. Brain area-dependent changes in BiP and GRP94 levels were also found. We further detected accumulation of immature BDNF precursors and opposite changes in α- and β-Syn levels in the dlPFC of MDD and PD patients compared to controls. Our findings suggest that alterations in proteostasis contribute to the pathophysiology of MDD, as previously described in PD. A deeper understanding of the pathways involved will identify other candidate proteins and new targets with therapeutic potential.
{"title":"Impaired unfolded protein response, BDNF and synuclein markers in postmortem dorsolateral prefrontal cortex and caudate nucleus of patients with depression and Parkinson's disease","authors":"Unai Sarriés-Serrano , Lluis Miquel-Rio , Noemí Santana , Verónica Paz , María Sancho-Alonso , Luis F. Callado , J. Javier Meana , Analia Bortolozzi","doi":"10.1016/j.pnpbp.2025.111299","DOIUrl":"10.1016/j.pnpbp.2025.111299","url":null,"abstract":"<div><div>Major depressive disorder (MDD) is characterized by significant impairment in social, emotional, and cognitive functioning. Its precise pathophysiology remains poorly understood. Alterations in protein homeostasis and some misfolded proteins have been identified within the brains of patients diagnosed with neuropsychiatric disorders. In contrast to neurodegenerative processes such as Parkinson's disease (PD), where the accumulation of aggregated α-synuclein (α-Syn) protein is a primary cause of significant neuronal loss, altered proteostasis in MDD may result in loss-of-function effects by modifying synaptic neuroplasticity. Moreover, aberrant activation of endoplasmic reticulum (ER) pathways may intensify the pathological alterations due to altered proteostasis. In this study, dorsolateral prefrontal cortex (dlPFC) and caudate nucleus from MDD patients and non-psychiatric controls were used. Postmortem samples of same brain areas from PD patients (Braak 2–3 and 5–6) and controls were also included. Protein levels of ER and unfolded protein response (UPR), synucleins (α-, β- and γ-Syn), and brain-derived neurotrophic factor (BDNF) were measured by Western-Blot. Phospho-eIF2α/eIF2α ratio was increased in the dlPFC and caudate nucleus of MDD and PD patients compared to their respective controls. Brain area-dependent changes in BiP and GRP94 levels were also found. We further detected accumulation of immature BDNF precursors and opposite changes in α- and β-Syn levels in the dlPFC of MDD and PD patients compared to controls. Our findings suggest that alterations in proteostasis contribute to the pathophysiology of MDD, as previously described in PD. A deeper understanding of the pathways involved will identify other candidate proteins and new targets with therapeutic potential.</div></div>","PeriodicalId":54549,"journal":{"name":"Progress in Neuro-Psychopharmacology & Biological Psychiatry","volume":"138 ","pages":"Article 111299"},"PeriodicalIF":5.3,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143525305","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-24DOI: 10.1016/j.pnpbp.2025.111300
B. Romeo , E. Kervadec , B. Fauvel , L. Strika-Bruneau , A. Amirouche , V. Verroust , P. Piolino , A. Benyamina
Introduction
The intensity of the psychedelic experience has been hypothesized as the main predictor of response to a psychedelic treatment. This study aimed to investigate factors that may be associated with the intensity of mystical experiences during naturalistic psychedelic use.
Methods
The data of this comprehensive sample were aggregated from four previous retrospective surveys, where mystical experience intensity was assessed using the mystical experience questionnaire (MEQ-30). Additional collected data included psychological flexibility levels, intentions regarding psychedelic use, substance used, subjective dosage levels, and socio-demographic information. ANOVA and linear regression were performed to identify predictors of MEQ-30 scores.
Results
A total of 1657 participants were included in this study. The significant predictors of the total MEQ score were: the main motive for the psychedelic experience (with a greater impact of spiritual/religious, therapeutic, and self-exploration, compared to recreational), the type of substance used (with a greater impact for Ayahuasca and lysergic acid diethylamide than for psilocybin), the subjective dosage (greater impact of very high, high, and moderate doses, compared to a very low dose), the number of psychedelic sessions, the time elapsed since the experience, and concomitant alcohol use.
Conclusion
This large sample study highlights significant associations between the intensity of mystical experiences during naturalistic psychedelic use and several key factors: the type of the psychedelic substance used, dosage, and set, particularly participants' intentions. Moreover, results show that concomitant alcohol use is associated with less intense psychedelic experiences, emphasizing the relevance of screening participants for substance use in research settings.
{"title":"Exploring factors associated with the intensity of a mystical experience following naturalistic psychedelic use: A retrospective survey","authors":"B. Romeo , E. Kervadec , B. Fauvel , L. Strika-Bruneau , A. Amirouche , V. Verroust , P. Piolino , A. Benyamina","doi":"10.1016/j.pnpbp.2025.111300","DOIUrl":"10.1016/j.pnpbp.2025.111300","url":null,"abstract":"<div><h3>Introduction</h3><div>The intensity of the psychedelic experience has been hypothesized as the main predictor of response to a psychedelic treatment. This study aimed to investigate factors that may be associated with the intensity of mystical experiences during naturalistic psychedelic use.</div></div><div><h3>Methods</h3><div>The data of this comprehensive sample were aggregated from four previous retrospective surveys, where mystical experience intensity was assessed using the mystical experience questionnaire (MEQ-30). Additional collected data included psychological flexibility levels, intentions regarding psychedelic use, substance used, subjective dosage levels, and socio-demographic information. ANOVA and linear regression were performed to identify predictors of MEQ-30 scores.</div></div><div><h3>Results</h3><div>A total of 1657 participants were included in this study. The significant predictors of the total MEQ score were: the main motive for the psychedelic experience (with a greater impact of spiritual/religious, therapeutic, and self-exploration, compared to recreational), the type of substance used (with a greater impact for Ayahuasca and lysergic acid diethylamide than for psilocybin), the subjective dosage (greater impact of very high, high, and moderate doses, compared to a very low dose), the number of psychedelic sessions, the time elapsed since the experience, and concomitant alcohol use.</div></div><div><h3>Conclusion</h3><div>This large sample study highlights significant associations between the intensity of mystical experiences during naturalistic psychedelic use and several key factors: the type of the psychedelic substance used, dosage, and set, particularly participants' intentions. Moreover, results show that concomitant alcohol use is associated with less intense psychedelic experiences, emphasizing the relevance of screening participants for substance use in research settings.</div></div>","PeriodicalId":54549,"journal":{"name":"Progress in Neuro-Psychopharmacology & Biological Psychiatry","volume":"137 ","pages":"Article 111300"},"PeriodicalIF":5.3,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143517399","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-24DOI: 10.1016/j.pnpbp.2025.111301
Danilo Arnone , Reshma Ramaraj , Linda Östlundh , Teresa Arora , Syed Javaid , Romona Devi Govender , Emmanuel Stip , Allan H. Young
Cognitive difficulties are known to persist after remission of symptoms and to affect psychosocial functioning and quality of life. Cognitive function, measured with the Cambridge Neuro-psychological Test Automated Battery (CANTAB), is a reliable approach to measure cognitive function in major depression. This systematic review and meta-analysis appraise cross-sectional and longitudinal studies that used specific CANTAB tests to measure cognitive function in major depression and the effect of treatment (PROSPERO ID: CRD42022355903). 1212 studies were identified and 41 were included, 1793 patients and 1445 healthy controls. Deficits in executive functions were detected with the Stocking Of Cambridge (SOC) ‘number of problems solved with minimal number of moves’ and ‘subsequent thinking time’, Intra-Extra Dimensional Set Shift ‘number of trials to complete the test’, Spatial Working Memory ‘strategy score’ and ‘between errors score’, Spatial Span. Memory deficits were detected with Paired Associates Learning ‘number of total errors’, Pattern Recognition Memory (PRM) ‘% of correct answers’ and ‘response latency’, Spatial Recognition Memory ‘% of correct answers’, Delayed Matching To Sample (DMS) ‘% of total responses’. Impaired attention was detected by Rapid Visual Information Processing ‘response latency’ and probability to detect target’. Mental and motor responses increased when Reaction Time was measured. SOC ‘number of problems solved with minimal number of moves', PRM ‘response latency’ and DMS ‘% of total responses' improved after a course of treatment. A range of variables including year of publication, age, IQ, severity and duration of illness influenced cognitive changes. The presence of significant cognitive deficits requires novel targeted interventions.
{"title":"Assessment of cognitive domains in major depressive disorders using the Cambridge Neuropsychological Test Automated Battery (CANTAB): Systematic review and meta-analysis of cross-sectional and longitudinal studies","authors":"Danilo Arnone , Reshma Ramaraj , Linda Östlundh , Teresa Arora , Syed Javaid , Romona Devi Govender , Emmanuel Stip , Allan H. Young","doi":"10.1016/j.pnpbp.2025.111301","DOIUrl":"10.1016/j.pnpbp.2025.111301","url":null,"abstract":"<div><div>Cognitive difficulties are known to persist after remission of symptoms and to affect psychosocial functioning and quality of life. Cognitive function, measured with the Cambridge Neuro-psychological Test Automated Battery (CANTAB), is a reliable approach to measure cognitive function in major depression. This systematic review and meta-analysis appraise cross-sectional and longitudinal studies that used specific CANTAB tests to measure cognitive function in major depression and the effect of treatment (PROSPERO ID: CRD42022355903). 1212 studies were identified and 41 were included, 1793 patients and 1445 healthy controls. Deficits in executive functions were detected with the Stocking Of Cambridge (SOC) ‘number of problems solved with minimal number of moves’ and ‘subsequent thinking time’, Intra-Extra Dimensional Set Shift ‘number of trials to complete the test’, Spatial Working Memory ‘strategy score’ and ‘between errors score’, Spatial Span. Memory deficits were detected with Paired Associates Learning ‘number of total errors’, Pattern Recognition Memory (PRM) ‘% of correct answers’ and ‘response latency’, Spatial Recognition Memory ‘% of correct answers’, Delayed Matching To Sample (DMS) ‘% of total responses’. Impaired attention was detected by Rapid Visual Information Processing ‘response latency’ and probability to detect target’. Mental and motor responses increased when Reaction Time was measured. SOC ‘number of problems solved with minimal number of moves', PRM ‘response latency’ and DMS ‘% of total responses' improved after a course of treatment. A range of variables including year of publication, age, IQ, severity and duration of illness influenced cognitive changes. The presence of significant cognitive deficits requires novel targeted interventions.</div></div>","PeriodicalId":54549,"journal":{"name":"Progress in Neuro-Psychopharmacology & Biological Psychiatry","volume":"138 ","pages":"Article 111301"},"PeriodicalIF":5.3,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143517396","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-21DOI: 10.1016/j.pnpbp.2025.111295
María Roca , Javier Íbias , Yunes Mohamedi-Ahmed , Mariano Ruiz-Gayo , Emilio Ambrosio , Ana Belén Sanz-Martos , Nuria Del Olmo
In recent years, obesity has become a significant public health concern worldwide. The rapid increase in prevalence is often attributed to the overconsumption of highly palatable, calorically dense foods that are rich in sugars and fats. These dietary habits have been shown to modulate specific brain circuits, notably the mesolimbic dopaminergic reward system. Despite extensive research into their effects, the potential reinforcing properties of these diets are still unknown. We conducted a study using two high-fat diets devoid of added sugar (SOLF, which is high in saturated fats and UOLF, high in unsaturated fats). We utilized an operant self-administration model with Skinner boxes, following a three-criteria protocol: 1) reward-seeking behavior, 2) motivation to obtain the reward, and 3) compulsivity. Juvenile C57BL/6J mice, both male and female, were subjected to an incremental reinforcement schedule followed by a progressive ratio session aimed at finding the breaking point, and finally, two cue-induced reinstatement sessions following the extinction of the food seeking behavior. Our results show that both diets induce potent seeking behavior for the high-fat food, characterized by high levels of compulsivity and great motivation to obtain the reward. These findings suggest that sugar-free high-fat diets function as potent reinforcers, capable of inducing addictive-like behaviors. Notably, differences between SOLF and UOLF are primarily observed in the breaking point and following the extinction of the seeking behavior, with higher values observed for UOLF.
{"title":"Saturated and unsaturated high-fat diets induce addictive-like behavior in an animal model of operant self-administration","authors":"María Roca , Javier Íbias , Yunes Mohamedi-Ahmed , Mariano Ruiz-Gayo , Emilio Ambrosio , Ana Belén Sanz-Martos , Nuria Del Olmo","doi":"10.1016/j.pnpbp.2025.111295","DOIUrl":"10.1016/j.pnpbp.2025.111295","url":null,"abstract":"<div><div>In recent years, obesity has become a significant public health concern worldwide. The rapid increase in prevalence is often attributed to the overconsumption of highly palatable, calorically dense foods that are rich in sugars and fats. These dietary habits have been shown to modulate specific brain circuits, notably the mesolimbic dopaminergic reward system. Despite extensive research into their effects, the potential reinforcing properties of these diets are still unknown. We conducted a study using two high-fat diets devoid of added sugar (SOLF, which is high in saturated fats and UOLF, high in unsaturated fats). We utilized an operant self-administration model with Skinner boxes, following a three-criteria protocol: 1) reward-seeking behavior, 2) motivation to obtain the reward, and 3) compulsivity. Juvenile C57BL/6J mice, both male and female, were subjected to an incremental reinforcement schedule followed by a progressive ratio session aimed at finding the breaking point, and finally, two cue-induced reinstatement sessions following the extinction of the food seeking behavior. Our results show that both diets induce potent seeking behavior for the high-fat food, characterized by high levels of compulsivity and great motivation to obtain the reward. These findings suggest that sugar-free high-fat diets function as potent reinforcers, capable of inducing addictive-like behaviors. Notably, differences between SOLF and UOLF are primarily observed in the breaking point and following the extinction of the seeking behavior, with higher values observed for UOLF.</div></div>","PeriodicalId":54549,"journal":{"name":"Progress in Neuro-Psychopharmacology & Biological Psychiatry","volume":"137 ","pages":"Article 111295"},"PeriodicalIF":5.3,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143479673","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-21DOI: 10.1016/j.pnpbp.2025.111297
Liqian Cui , Huixing Zeng , Yixin Chen , Yizhi Zhang , Jinbiao Li , Liping Cao
Background
Bipolar disorder (BP) is a complex mental illness with poorly understood neural underpinnings. This study aimed to investigate abnormalities in the structural and functional connectivity (FC) of white matter (WM) tracts in BP.
Methods
Diffusion magnetic resonance imaging (MRI) and resting-state functional MRI data were obtained for 56 patients with BP subtype I (BP-I) and 40 healthy controls (HCs). A total of 72 WM tracts and their corresponding start and end regions were automatically segmented based on diffusion image. The mean diffusivity (MD) and mean fractional anisotropy (FA) of each tract were calculated as proxies of tract-based structural connectivity. FC between the start and end regions of each tract was calculated as a proxy of tract-based FC. The analysis of covariance (ANCOVA) was used to compare the mean MD, FA, and FC values between groups, with multiple comparison correction based Hommel approach.
Results
Compared to the HCs, BP-I patients showed significantly lower FA in the corpus callosum, right and left cingulum, and right superior longitudinal fasciculus III as well as higher MD in the corpus callosum and commissure anterior. Among the tracts with abnormal structural connectivity, only the right SLF-III demonstrated significantly lower FC in the BP-I group than in the control group.
Conclusion
BP-I is associated with altered structural connectivity and FC in specific WM tracts, which provides insights into the pathophysiology of this disorder. More research is required to understand the diagnostic and therapeutic implications of these results.
{"title":"Tract-based structural and functional connectivity abnormalities in bipolar I disorder","authors":"Liqian Cui , Huixing Zeng , Yixin Chen , Yizhi Zhang , Jinbiao Li , Liping Cao","doi":"10.1016/j.pnpbp.2025.111297","DOIUrl":"10.1016/j.pnpbp.2025.111297","url":null,"abstract":"<div><h3>Background</h3><div>Bipolar disorder (BP) is a complex mental illness with poorly understood neural underpinnings. This study aimed to investigate abnormalities in the structural and functional connectivity (FC) of white matter (WM) tracts in BP.</div></div><div><h3>Methods</h3><div>Diffusion magnetic resonance imaging (MRI) and resting-state functional MRI data were obtained for 56 patients with BP subtype I (BP-I) and 40 healthy controls (HCs). A total of 72 WM tracts and their corresponding start and end regions were automatically segmented based on diffusion image. The mean diffusivity (MD) and mean fractional anisotropy (FA) of each tract were calculated as proxies of tract-based structural connectivity. FC between the start and end regions of each tract was calculated as a proxy of tract-based FC. The analysis of covariance (ANCOVA) was used to compare the mean MD, FA, and FC values between groups, with multiple comparison correction based Hommel approach.</div></div><div><h3>Results</h3><div>Compared to the HCs, BP-I patients showed significantly lower FA in the corpus callosum, right and left cingulum, and right superior longitudinal fasciculus III as well as higher MD in the corpus callosum and commissure anterior. Among the tracts with abnormal structural connectivity, only the right SLF-III demonstrated significantly lower FC in the BP-I group than in the control group.</div></div><div><h3>Conclusion</h3><div>BP-I is associated with altered structural connectivity and FC in specific WM tracts, which provides insights into the pathophysiology of this disorder. More research is required to understand the diagnostic and therapeutic implications of these results.</div></div>","PeriodicalId":54549,"journal":{"name":"Progress in Neuro-Psychopharmacology & Biological Psychiatry","volume":"137 ","pages":"Article 111297"},"PeriodicalIF":5.3,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143484595","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}