Neuropsychobiology最新文献

{"title":"Gut Microbiome in Impulsively Violent Female Convicts.","authors":"Michaela Langmajerová, Janet Ježková, Jakub Kreisinger, Jaroslav Semerád, Ivan Titov, Petra Procházková, Tomáš Cajthaml, Václav Jiřička, Jan Vevera, Radka Roubalová","doi":"10.1159/000542220","DOIUrl":"10.1159/000542220","url":null,"abstract":"<p><strong>Introduction: </strong>Impulsivity and aggression are often interlinked behavioral traits that have major implications for our society. Therefore, the study of this phenomenon and derivative interventions that could lead to better control of impulsive aggression are of interest.</p><p><strong>Methods: </strong>We analyzed the composition and diversity of the gut bacterial microbiome of 33 impulsively violent female convicts with dissocial personality disorder and 20 non-impulsive age-matched women. Further, levels of assorted neurotransmitters and short-chain fatty acids (SCFAs) were analyzed in serum and stool samples. We also assessed all participants using a battery of psychological questionnaires and tested possible correlations between the collected clinical data and the composition and diversity of their microbiomes and metabolites.</p><p><strong>Results: </strong>We identified four bacterial amplicon sequencing variants that were differentially abundant in non-impulsive versus impulsive women - the genera Bacteroides, Barnesiella, and the order Rhodospirillales were more abundant in impulsive women. In contrast, the genus Catenisphaera was more abundant in non-impulsive women. Fecal tryptophan levels were significantly higher in impulsive women. Association analysis revealed a strong positive intercorrelation between most fecal SCFAs in the entire dataset.</p><p><strong>Conclusions: </strong>Our study demonstrated possible associations between gut microbiomes and their metabolites and impulsive behavior in a unique cohort of prisoners convicted of violent assaults and a matched group of non-impulsive women from the same prison. Genus Bacteroides, which was differentially abundant in the two groups, encoded enzymes that affect serotonin pathways and could contribute to this maladaptive behavior. Similarly, increased fecal tryptophan levels in impulsive individuals could affect neuronal circuits in the brain.</p><p><strong>Introduction: </strong>Impulsivity and aggression are often interlinked behavioral traits that have major implications for our society. Therefore, the study of this phenomenon and derivative interventions that could lead to better control of impulsive aggression are of interest.</p><p><strong>Methods: </strong>We analyzed the composition and diversity of the gut bacterial microbiome of 33 impulsively violent female convicts with dissocial personality disorder and 20 non-impulsive age-matched women. Further, levels of assorted neurotransmitters and short-chain fatty acids (SCFAs) were analyzed in serum and stool samples. We also assessed all participants using a battery of psychological questionnaires and tested possible correlations between the collected clinical data and the composition and diversity of their microbiomes and metabolites.</p><p><strong>Results: </strong>We identified four bacterial amplicon sequencing variants that were differentially abundant in non-impulsive versus impulsive women - the genera","PeriodicalId":19239,"journal":{"name":"Neuropsychobiology","volume":" ","pages":"1-14"},"PeriodicalIF":2.3,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11797940/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142576698","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Adverse Childhood Experiences Are Associated with Mental Health Problems Later in Life: An Umbrella Review of Systematic Review and Meta-Analysis.","authors":"Biruk Beletew Abate, Ashenafi Kibret Sendekie, Abebe Merchaw, Gebremeskel Kibret Abebe, Molla Azmeraw, Addis Wondmagegn Alamaw, Alemu Birara Zemariam, Tegene Atamenta Kitaw, Amare Kassaw, Tilahun Wodaynew, Ayelign Mengesha Kassie, Gizachew Yilak, Mulat Awoke Kassa","doi":"10.1159/000542392","DOIUrl":"10.1159/000542392","url":null,"abstract":"<p><strong>Introduction: </strong>Evidence suggested a link between early adversity and mental health problems. However, it is unclear how much adverse childhood experiences (ACEs) contribute to mental health problems because researchers have produced inconsistent findings. Therefore, the objective of this umbrella review was to combine the contradictory data regarding the effect of ACEs on the development of mental health problems later in life in the global context.</p><p><strong>Methods: </strong>PubMed, Embase, Scopus, Web of Sciences, Cochrane Database of Systematic Reviews, Scopus, and Google Scholar which reported the effect of ACEs on the development of mental health problems was searched. The quality of the included studies was assessed using the Assessment of Multiple Systematic Reviews (AMSTAR). A weighted inverse variance random-effects model was applied to find the pooled estimates. The subgroup analysis, heterogeneity, publication bias, and sensitivity analysis were also assessed.</p><p><strong>Results: </strong>Forty-three SRM with 14,707,614 study participants were included. The pooled effect of ACEs on the development of mental health problems later in life in the global context is found to be (AOR = 1.66 [1.46, 1.87]). Subgroup analysis based on country revealed (AOR = 1.67 [1.23, 2.11]) in UK, (AOR = 0.61 [0.41, 0.81]) in Canada, (AOR = 1.55 [1.40, 1.69]) in Brazil, (AOR = 5.65 [4.12, 7.18]) in Ethiopia, (AOR = 1.92 [1.45, 2.38]) in USA, (AOR = 2.30 [1.89, 2.72]) in Australia, and (AOR = 1.66 [1.46, 1.87]) in Ireland. While subgroup analysis based on types of adverse childhood adverse experience: domestic violence (AOR = 4.13 [1.96, 6.30]), maltreatment (AOR = 1.5 [0.79, 2.21]), physical abuse (AOR = 1.56 [1.43, 1.63]), sexual abuse (AOR = 2.07 [1.63, 2.51]), child abuse (AOR = 5.66 [4.12, 7.18]), parental mental health problem (AOR = 1.73 [1.39, 2.08]), bullying (AOR = 1.99 [1.69, 2.29], neglect (AOR = 2.11 [1.53, 2.69]), and parental divorce (AOR = 1.66 [1.46, 1.87]). Based on the type of mental health problem, the pooled effect size is 1.87 (1.45, 2.30) for depression and 1.67 (1.22, 2.13) for anxiety.</p><p><strong>Conclusion: </strong>This umbrella review revealed that ACE is significantly associated (with 66% increased risk) with anxiety and depression later in life in a global context. This association is most noticeable when one is subjected to domestic violence, maltreatment, physical abuse, sexual abuse, child abuse, parental mental health problems, bullying, neglect, and parental divorce. Childhood periods are a critical window of opportunity for reducing the risk of developing mental illness in the future and for implementing intervention measures. Preventing childhood maltreatment and addressing psychiatric risk factors can prevent psychopathology. Longitudinal studies are needed to optimize healthcare responses to ACEs. Increased awareness and public health interventions are needed to prevent childhood adversity a","PeriodicalId":19239,"journal":{"name":"Neuropsychobiology","volume":" ","pages":"48-64"},"PeriodicalIF":2.3,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142668628","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The St. Göran Project: A Multipronged Strategy for Longitudinal Studies for Bipolar Disorders.","authors":"Mikael Landén, Lina Jonsson, Anna Luisa Klahn, Mathias Kardell, Andreas Göteson, Christoph Abé, Andreas Aspholmer, Benny Liberg, Aurimantas Pelanis, Timea Sparding, Erik Pålsson","doi":"10.1159/000543335","DOIUrl":"10.1159/000543335","url":null,"abstract":"<p><strong>Introduction: </strong>The St. Göran Bipolar Project (SBP) is a longitudinal outpatient study investigation aimed at identifying predictive factors associated with long-term outcomes in individuals with bipolar disorder. These outcomes include cognitive function, relapse rate, treatment responses, and functional outcomes. The study employs a multifaceted approach, integrating brain imaging, biochemical analyses of cerebrospinal fluid and blood, and genetics. This paper provides an overview of the research methods used in the SBP, along with a summary of the main findings to date.</p><p><strong>Methods: </strong>SBP is a collaborative effort between academia and healthcare, enrolling study participants from bipolar outpatient clinics in Stockholm (SBP-S) and Gothenburg (SBP-G), Sweden. Healthy controls were recruited through Statistics Sweden. Data and samples were collected using structured interviews, self-rated questionnaires, blood and cerebrospinal fluid samples, magnetic resonance imaging, and neuropsychological tests. Follow-up visits are conducted 7 and 14 years after baseline.</p><p><strong>Conclusion: </strong>The SBP has generated numerous original findings and has contributed to advancing knowledge on cognitive function, personality, cerebrospinal and blood biomarkers, neuroimaging, and genetics. Further, as data collection nears completion, new research questions can be addressed. The study's strengths include detailed, multimodal information from each study visit and a long follow-up period. The naturalistic setting ensures that findings are relevant to real-world scenarios. However, variability in data completeness can introduce selection bias. Additionally, the control population, while randomly selected, may not be fully representative due to the voluntary nature of participation. Future projects will focus on longitudinal analyses and novel methods to exploit the study's multifaceted approach.</p><p><strong>Introduction: </strong>The St. Göran Bipolar Project (SBP) is a longitudinal outpatient study investigation aimed at identifying predictive factors associated with long-term outcomes in individuals with bipolar disorder. These outcomes include cognitive function, relapse rate, treatment responses, and functional outcomes. The study employs a multifaceted approach, integrating brain imaging, biochemical analyses of cerebrospinal fluid and blood, and genetics. This paper provides an overview of the research methods used in the SBP, along with a summary of the main findings to date.</p><p><strong>Methods: </strong>SBP is a collaborative effort between academia and healthcare, enrolling study participants from bipolar outpatient clinics in Stockholm (SBP-S) and Gothenburg (SBP-G), Sweden. Healthy controls were recruited through Statistics Sweden. Data and samples were collected using structured interviews, self-rated questionnaires, blood and cerebrospinal fluid samples, magnetic resonance imaging, and neuropsychologica","PeriodicalId":19239,"journal":{"name":"Neuropsychobiology","volume":" ","pages":"86-99"},"PeriodicalIF":3.7,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11965871/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142921627","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Role of Sex in Clinical Characteristics and Pharmacological Treatment of Bipolar Disorder.","authors":"Erik Putz, Elena M D Schönthaler, Nina Dalkner, Frederike T Fellendorf, Adelina Tmava-Berisha, Susanne A Bengesser, Melanie Lenger, Robert Queissner, Alexander Maget, Alfred Häussl, Tatjana Maria Stross, Alexander Finner, Julia Ilic, Eva Z Reininghaus","doi":"10.1159/000548338","DOIUrl":"10.1159/000548338","url":null,"abstract":"<p><p><p>Introduction: There has been an increasing focus on sex differences in bipolar disorder in recent years, yet much remains to be understood about their impact on clinical characteristics and treatment approaches. The aim of this study was to identify sex differences that could alter diagnosis and treatment strategies, potentially improving patient compliance and outcomes.</p><p><strong>Methods: </strong>This retrospective study analysed data from interviews with 340 participants (171 men, 169 women; ages ranging from 18 to 82 years) from the BIPFAT/BIPLONG study at the specialised outpatient centre for bipolar disorder at the Medical University of Graz, Austria. We examined sex differences in clinical characteristics and drug therapy primarily using logistic and linear regression models, with chi-square tests and Mann-Whitney U tests applied as supplementary analyses for subgroup comparisons.</p><p><strong>Results: </strong>Our findings revealed that the age of onset for bipolar disorder was earlier in women (B = -3.05, 95% confidence interval [CI] = [-5.08, -1.02], p = 0.003), with women reporting their first affective symptoms at an average age of 22.7 (standard deviation [SD] = 9.9) compared to 26.4 (SD = 12.1) in men. Comorbid obsessive-compulsive disorder was significantly more prevalent in women (OR = 2.24, 95% CI = [2.12, 41.33], p = 0.003). In comparison, men were shown to experience manic episodes per year more frequently (B = -0.32, 95% CI = [-0.59, -0.05], p = 0.019). Differences in treatment emerged only within specific age subgroups rather than the overall study sample.</p><p><strong>Conclusions: </strong>Taken together, we found fewer differences than expected, which suggests that factors other than sex play a greater role in the course of bipolar disorder. Our analysis indicates that more women are suffering from obsessive-compulsive disorder (OCD) as comorbidity than men, a topic that has not yet been extensively researched. While previous studies mostly show that men have an earlier onset of symptoms, we found the opposite in our sample. Another notable difference in illness course was that men experienced more manic episodes per year. Further research in this area is needed to verify our findings, ideally focusing specifically on OCD in bipolar men and women, as sex differences in this comorbidity remain underexplored. </p>.</p>","PeriodicalId":19239,"journal":{"name":"Neuropsychobiology","volume":" ","pages":"248-259"},"PeriodicalIF":3.7,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12685329/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145006356","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Childhood Maltreatment and Somatic Symptoms in Adulthood: Establishing a New Research Pathway.","authors":"Antonia M Lüönd, Görkem Ayas, Rahel Bachem, Julia Carranza-Neira, David J Eberle, Natalia E Fares-Otero, Mohammad Hashim, Naved Iqbal, Dan Jenkins, Saman Kamari Songhorabadi, Katharina Ledermann, Nino Makhashvili, Chantal Martin-Soelch, Ertaç Nebioğlu, Misari Oe, Juliet N Olayinka, Miranda Olff, Laura Picot, Soraya Seedat, Tanya Tandon, Dany L Wadji, Jacqueline S Womersley, Ulrich Schnyder, Vedat Sar, Monique C Pfaltz, Deniz Ceylan","doi":"10.1159/000543438","DOIUrl":"10.1159/000543438","url":null,"abstract":"<p><strong>Background: </strong>Somatic symptoms, such as chronic pain, fatigue, and gastrointestinal disturbances, are commonly reported in individuals with a history of childhood maltreatment (CM), which includes various forms of abuse and neglect experienced before age 18. Although CM is strongly associated with somatic symptoms, the specific relationships between CM subtypes and these symptoms, as well as the mechanisms connecting them, remain insufficiently understood. This review examines the complex interaction between CM and somatic symptoms, which often coexist with mental disorders and significantly impact quality of life and healthcare systems.</p><p><strong>Summary: </strong>Somatic symptoms, frequently a mix of \"explained\" and \"unexplained\" conditions, are associated with personal distress and pose diagnostic challenges. CM has been linked to these symptoms through neurobiological mechanisms, such as HPA axis dysregulation and allostatic load, while theoretical models emphasize the roles of hyperawareness, cultural factors, and vulnerability in symptom development. However, existing research often fails to account for specific CM subtypes, the full range of somatic symptoms, and cultural and situational factors, leading to inconsistencies in findings.</p><p><strong>Key messages: </strong>Bridging gaps in literature requires adopting the World Health Organization's CM subtype definitions and ICD-11 codes (MA00-MH2Y) to encompass a broader spectrum of somatic symptoms. Employing rigorous methodologies, such as systematic reviews and meta-analyses, is essential for advancing understanding. These approaches can enhance diagnostic accuracy, support tailored interventions, and promote a biopsychosocial framework for CM research, ultimately improving patient outcomes and alleviating societal burdens.</p>","PeriodicalId":19239,"journal":{"name":"Neuropsychobiology","volume":" ","pages":"113-120"},"PeriodicalIF":2.3,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142984121","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identifying Neuro-Inflammatory Biomarkers of Generalized Anxiety Disorder from Lymphocyte Subsets Based on Machine Learning Approaches.","authors":"Jingjing Lu, Weiwei Liang, Lijun Cui, Shaoqi Mou, Xuedan Pei, Xinhua Shen, Zhongxia Shen, Ping Shen","doi":"10.1159/000543646","DOIUrl":"10.1159/000543646","url":null,"abstract":"<p><strong>Introduction: </strong>Activation of the inflammatory response system is involved in the pathogenesis of generalized anxiety disorder (GAD). The purpose of this study was to identify and characterize inflammatory biomarkers in the diagnosis of GAD based on machine learning algorithms.</p><p><strong>Methods: </strong>The evaluation of peripheral immune parameters and lymphocyte subsets was performed on patients with GAD. Multivariable linear regression was used to explore the association between lymphocyte subsets and the severity of GAD. Receiver operating characteristic (ROC) analysis was used to determine the predictive value of these immunological parameters for GAD. Machine learning technology was applied to classify the collected data from patients in the GAD and healthy control groups.</p><p><strong>Results: </strong>Of the 340 patients enrolled, 171 were GAD patients, and 169 were non-GAD patients as healthy control. The levels of neutrophil, monocytes, and systemic immune-inflammation index (SII) were significantly elevated in GAD patients (p < 0.01), and the count and proportion of immune cells, including CD3+CD4+ T cells, CD3+CD8+ T cells, CD19+ B cells, and CD3-CD16+CD56+ NK cells (p < 0.001), have undergone large changes. The classification analysis conducted by machine learning using a weighted ensemble-L2 algorithm demonstrated an accuracy of 95.00 ± 2.04% in assessing the predictive value of these lymphocyte subsets in GAD. In addition, the feature importance analysis score is 0.255, which was much more predictive of GAD severity than for other lymphocyte subsets.</p><p><strong>Conclusion: </strong>In the presented work, we show the level of lymphocyte subsets altered in GAD. Lymphocyte subsets, specifically CD3+CD4+ T %, can serve as neuroinflammatory biomarkers for GAD diagnostics. Furthermore, the application of machine learning offers a highly efficient approach for investigating neuroinflammatory biomarkers and predicting GAD. Our research has provided novel insights into the involvement of cellular immunity in GAD and highlighted the potential predictive value and therapeutic targets of lymphocyte subsets in this disorder.</p>","PeriodicalId":19239,"journal":{"name":"Neuropsychobiology","volume":" ","pages":"74-85"},"PeriodicalIF":2.3,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143023966","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Oxidative Stress Markers Predict Treatment Outcomes in Patients with Generalized Anxiety Disorder Treated with Selective Serotonin Reuptake Inhibitors.","authors":"Lijun Cui, Jingjing Lu, Zhongxia Shen, Jielin Zhu, Huanxin Chen, Shenliang Yang, Shikai Wang, Xinhua Shen","doi":"10.1159/000544963","DOIUrl":"10.1159/000544963","url":null,"abstract":"<p><strong>Introduction: </strong>The etiology of generalized anxiety disorder (GAD) has not been fully understood, and oxidative stress may potentially contribute to its pathogenesis. However, there is no published evidence concerning the possible influence of oxidative stress on antidepressant treatment outcomes. This study investigated the ability of oxidative stress markers to predict treatment outcomes in GAD patients treated with selective serotonin reuptake inhibitors (SSRIs).</p><p><strong>Methods: </strong>One hundred-one GAD patients and 100 healthy controls (HCs) were included in this study. The 101 GAD patients were selected for treatment with escitalopram (n = 52) or sertraline (n = 49) for 8 weeks. Hamilton Anxiety Rating Scale (HAM-A) assessments were conducted before and after treatment. The serum levels of eight oxidative stress makers, malondialdehyde (MDA), lipid hydroperoxides (LPO), superoxide dismutase (SOD), glutathione peroxidase (GSH-Px), catalase (CAT), cortisol, high-density lipoprotein (HDL), and nitric oxide (NO) were measured using enzyme-linked immunosorbent assays (ELISA) before and after SSRI treatment in GAD patients and at the time of HC enrollment.</p><p><strong>Results: </strong>The serum levels of MDA, cortisol, and LPO were higher in GAD patients than in HCs (all p < 0.001), while SOD, GSH-Px, and CAT were lower than in HCs (all p < 0.001). The baseline MDA, LPO, NO, and cortisol levels were positively correlated with anxiety severity, while GSH-Px was negatively correlated. After 8 weeks of SSRI treatment, the GSH-Px levels increased, and MDA and LPO decreased (all p < 0.05). Alterations in MDA levels covaried with changes in anxiety measures (all p < 0.05). The ability of the receiver-operating characteristic (ROC) area of the baseline MDA levels to predict the SSRI endpoint treatment response was 0.804 (p < 0.05).</p><p><strong>Conclusion: </strong>The pathogenesis of GAD might involve oxidative stress. Moreover, serum MDA levels might predict treatment response to SSRIs. However, more research is warranted to confirm these findings.</p>","PeriodicalId":19239,"journal":{"name":"Neuropsychobiology","volume":" ","pages":"146-157"},"PeriodicalIF":2.3,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143616523","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cerebrospinal Fluid Biomarkers of Central Nervous System Inflammation Predict Cortical Decline in Bipolar Disorder and Ventricular Enlargement in Healthy Controls.","authors":"Tobias Bellaagh Johansson, Anna Luisa Klahn, Andreas Göteson, Christoph Abé, Carl M Sellgren, Mikael Landén","doi":"10.1159/000542888","DOIUrl":"10.1159/000542888","url":null,"abstract":"<p><strong>Introduction: </strong>Bipolar disorder has been associated with significant structural brain changes, potentially driven by central nervous system (CNS) inflammation. This study aimed to investigate the relationship between inflammation biomarkers in cerebrospinal fluid (CSF) and longitudinal structural brain changes.</p><p><strong>Methods: </strong>We included 29 individuals with bipolar disorder and 34 healthy controls, analyzing three selected inflammation-related biomarkers - interleukin-6 (IL-6), interleukin-8 (IL-8), and chitinase-3-like protein 1 (YKL-40) - in both blood serum and CSF. Structural brain changes were assessed through magnetic resonance imaging at two timepoints, focusing on cortical thickness of the middle temporal cortex and inferior frontal gyrus, as well as ventricular volume.</p><p><strong>Results: </strong>In healthy controls, baseline CSF levels of YKL-40 predicted ventricular enlargement in both hemispheres. Among individuals with bipolar disorder, higher baseline levels of IL-8 were associated with a decline in cortical thickness in the right and left middle temporal cortex, as well as the right inferior frontal gyrus. No significant associations were observed with serum biomarkers.</p><p><strong>Conclusions: </strong>These findings suggest that CSF IL-8 may contribute to cortical decline in bipolar disorder. The lack of association between serum biomarkers and brain changes highlights the specificity of CNS inflammation in these processes. Additionally, the observed link between CSF YKL-40 and ventricular enlargement in healthy controls may indicate a role of CNS inflammation processes in normal brain aging.</p><p><strong>Introduction: </strong>Bipolar disorder has been associated with significant structural brain changes, potentially driven by central nervous system (CNS) inflammation. This study aimed to investigate the relationship between inflammation biomarkers in cerebrospinal fluid (CSF) and longitudinal structural brain changes.</p><p><strong>Methods: </strong>We included 29 individuals with bipolar disorder and 34 healthy controls, analyzing three selected inflammation-related biomarkers - interleukin-6 (IL-6), interleukin-8 (IL-8), and chitinase-3-like protein 1 (YKL-40) - in both blood serum and CSF. Structural brain changes were assessed through magnetic resonance imaging at two timepoints, focusing on cortical thickness of the middle temporal cortex and inferior frontal gyrus, as well as ventricular volume.</p><p><strong>Results: </strong>In healthy controls, baseline CSF levels of YKL-40 predicted ventricular enlargement in both hemispheres. Among individuals with bipolar disorder, higher baseline levels of IL-8 were associated with a decline in cortical thickness in the right and left middle temporal cortex, as well as the right inferior frontal gyrus. No significant associations were observed with serum biomarkers.</p><p><strong>Conclusions: </strong>These findings suggest that CSF IL-8 m","PeriodicalId":19239,"journal":{"name":"Neuropsychobiology","volume":" ","pages":"38-47"},"PeriodicalIF":2.3,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11797920/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142770713","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effects of Different SSRIs on nNOS mRNA Expression in the Hippocampus and Prefrontal Cortex of Chronically Stressed Rats.","authors":"Li Zhang, Shuang Su, Jin-Cui Yang, Heng Zhang, Fan-Zhi Kong","doi":"10.1159/000548950","DOIUrl":"10.1159/000548950","url":null,"abstract":"<p><p><p>Introduction: Depression severely affects the psychosocial functioning and quality of life of patients. Among first-line selective serotonin reuptake inhibitors (SSRIs), the incidence of neuropsychiatric side effects caused by paroxetine is 4-6 times higher than that caused by citalopram.</p><p><strong>Methods: </strong>In this study, a depression model was established using Wistar rats to examine the effects of paroxetine and citalopram on neuronal nitric oxide synthase (nNOS) mRNA expression in the prefrontal cortex and hippocampus and to clarify the possible mechanisms of SSRI-induced neuropsychiatric side effects.</p><p><strong>Results: </strong>In the hippocampus, nNOS expression was significantly higher in the depression group than in the control group. However, in the prefrontal cortex, nNOS expression was significantly lower in the depression group than in the control group. Following the administration of postsynaptic density protein 95 (PSD-95)/nNOS inhibitor ZL006, nNOS levels decreased significantly in the paroxetine group but showed no significant change in the citalopram group.</p><p><strong>Conclusion: </strong>The mechanisms regulating nNOS expression differed between the paroxetine and citalopram groups. Paroxetine-induced nNOS expression may be associated with PSD-95/nNOS. </p>.</p>","PeriodicalId":19239,"journal":{"name":"Neuropsychobiology","volume":" ","pages":"268-276"},"PeriodicalIF":3.7,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12685334/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145336714","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring Blood Glutamate as a Diagnostic Biomarker for Major Depressive Episodes in a Context of Major Depressive Disorder.","authors":"Khalil El Asmar, Tala El Ghoul, Romain Colle, Hugo Bottemanne, Rida Assaf, Séverine Martin, Séverine Trabado, Bruno Fève, Céline Verstuyft, Laurent Becquemont, Emmanuelle Corruble","doi":"10.1159/000548339","DOIUrl":"10.1159/000548339","url":null,"abstract":"<p><strong>Introduction: </strong>Major depressive disorder (MDD) represents a critical public health issue, impacting millions globally and significantly contributing to disability-adjusted life years. Major depressive episode (MDE) is a feature of MDD characterized by severe depressive symptoms. The role of glutamate, a primary excitatory neurotransmitter, in MDD has been extensively studied, and several drugs improving MDE/MDD impact the glutamate cascade; however, findings regarding blood glutamate levels in patients with a current MDE in a context of MDD remain inconsistent. This study aimed to compare blood glutamate levels between MDE/MDD patients and matched controls.</p><p><strong>Methods: </strong>We conducted a matched case-control study utilizing 185 cases from the METADAP multicentric prospective study (NCT00526383), which was conducted from November 2009 to March 2013, and 185 controls from the VARIETE cohort (NCT01831648), conducted between January 2011 and February 2012. Blood glutamate levels were assessed from plasma samples collected between 8:00 and 10:00 a.m. after an overnight fast. The same method was used for patients and controls.</p><p><strong>Results: </strong>No significant blood glutamate-level differences were observed between the 185 cases and matched controls of this study (conditional logistic regression: OR = 0.99, 95% CI: 0.98-1.01, p = 0.74).</p><p><strong>Conclusion: </strong>Further research is warranted to investigate brain glutamate levels and whether glutamate levels of MDE/MDD patients could predict response to conventional antidepressant drugs and anti-glutamatergic drugs such as ketamine.</p>","PeriodicalId":19239,"journal":{"name":"Neuropsychobiology","volume":" ","pages":"285-290"},"PeriodicalIF":3.7,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145006397","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}