Neuropsychobiology最新文献

{"title":"Histidine Metabolic Pathway Contributes to Clozapine-Induced Sialorrhea Based on Nontargeted Metabolomics.","authors":"Kun Zhang,&nbsp;Shengwei Wu,&nbsp;Youtian Wang,&nbsp;Yufang Zhou,&nbsp;Jianxiong Guo,&nbsp;Aixiang Xiao,&nbsp;Junrong Ye,&nbsp;Baofeng Wu,&nbsp;Shuyun Li,&nbsp;Fujian Zhu,&nbsp;Zezhi Li,&nbsp;Lin Yu","doi":"10.1159/000528807","DOIUrl":"10.1159/000528807","url":null,"abstract":"<p><strong>Introduction: </strong>Clozapine-induced sialorrhea (CIS) is one of the most common side effects of clozapine use, while the mechanism remains unclear.</p><p><strong>Methods: </strong>A total of 51 schizophrenia patients taking clozapine were selected. Among them, 32 had sialorrhea, and 19 had no sialorrhea. Saliva metabolites were identified using ultra-high-performance liquid chromatography-MS/MS (UHPLC-MS/MS), and the differences in saliva metabolites in each group were analyzed through qualitatively searching HMDB, KEGG, and self-built databases, combined with multivariate statistics. After further evaluation by receiver-operating characteristic curve (ROC) analysis, the screened differential metabolites were enriched and topologically analyzed.</p><p><strong>Results: </strong>The biomarkers potentially related to CIS included 37 differential metabolites involving 17 metabolic pathways, mainly histidine metabolism (p < 0.05, impact = 0.50), pyrimidine metabolism (p < 0.05, impact = 0.08), and β-alanine metabolism (p < 0.05, impact = 0.06).</p><p><strong>Conclusion: </strong>Our study indicates that histidine metabolic pathway may contribute to the mechanism of CIS.</p>","PeriodicalId":19239,"journal":{"name":"Neuropsychobiology","volume":" ","pages":"271-286"},"PeriodicalIF":3.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10484341","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 Common Neural Mechanism of Somatic Symptoms of Depression and Anxiety Disorders: A Resting-State Functional Magnetic Resonance Imaging Study.","authors":"Yue Yu,&nbsp;Yue Chen,&nbsp;Yue Wu,&nbsp;Tongjian Bai,&nbsp;Qiang Wei,&nbsp;Yang Ji,&nbsp;Ting Zhang,&nbsp;Chenglong Li,&nbsp;Aiguo Zhang,&nbsp;Kai Wang,&nbsp;Yanghua Tian","doi":"10.1159/000527276","DOIUrl":"https://doi.org/10.1159/000527276","url":null,"abstract":"<p><strong>Introduction: </strong>Somatic symptoms often occur as a manifestation of depression and anxiety. The subgenual anterior cingulate cortex (sgACC) has been shown to be closely related to both depression and anxiety and plays an important role in somatic symptoms. However, little is known regarding whether the abnormal function of the sgACC contributes to the common somatic symptoms of depression and anxiety.</p><p><strong>Methods: </strong>Resting-state functional connectivity (RSFC) analysis based on the seed of the sgACC was investigated in 23 major depressive disorder (MDD) patients with somatic symptoms, 20 generalized anxiety disorder (GAD) patients with somatic symptoms, and 22 demographically matched healthy controls (HCs). The severity of depression, anxiety, and somatic symptoms was assessed using the Hamilton Depression Rating Scale (HAMD), Hamilton Anxiety Rating Scale (HAMA), and the 15-item somatic symptom severity scale from the Patient Health Questionnaire (PHQ-15), respectively. An analysis of covariance analysis (ANCOVA) was conducted to determine RSFC alterations among GAD, MDD, and HC groups with age, gender, and head motion as covariates. Correlation analyses were conducted between the RSFC of the sgACC and PHQ-15.</p><p><strong>Results: </strong>The significantly different RSFC of right sgACC among the three groups was found in right STG, left cerebellum, and right postcentral. Post hoc analysis indicated that both MDD and GAD patients showed a decreased RSFC between the right sgACC and right STG than HCs, and both were negatively correlated with the PHQ-15 scores.</p><p><strong>Conclusion: </strong>The abnormally decreased RSFC of the sgACC and STG may be the underlying common mechanisms of depression and anxiety combined with somatic symptoms.</p>","PeriodicalId":19239,"journal":{"name":"Neuropsychobiology","volume":"82 1","pages":"51-60"},"PeriodicalIF":3.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10656749","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":"Clinical Evidence for Association of Acupuncture with Improved Major Depressive Disorder: A Systematic Review and Meta-Analysis of Randomized Control Trials.","authors":"Guixing Xu,&nbsp;Qiwei Xiao,&nbsp;Biqing Huang,&nbsp;Hanzhou Lei,&nbsp;Zihan Yin,&nbsp;Liuyang Huang,&nbsp;Zhuo Zhou,&nbsp;Hao Tian,&nbsp;Fengyuan Huang,&nbsp;Yilin Liu,&nbsp;Mingsheng Sun,&nbsp;Ling Zhao,&nbsp;Fanrong Liang","doi":"10.1159/000527903","DOIUrl":"https://doi.org/10.1159/000527903","url":null,"abstract":"<p><strong>Introduction: </strong>Depression is the most significant contributor to non-fatal health reductions worldwide. Acupuncture is the most commonly used complementary alternative therapy to relieve major depressive disorder (MDD) effectively. Nevertheless, the effects of acupuncture for MDD are uncertain. This review aimed to determine the efficacy and safety of acupuncture for MDD.</p><p><strong>Methods: </strong>Meta-analysis was performed for randomized controlled trials of acupuncture for MDD data from eight databases searched from inception until February 10, 2022. All RCTs with adult participants undergoing acupuncture treatment for MDD were included. The primary outcome measure was the Hamilton rating scale for depression (HAMD). We used random-effects meta-analysis to synthesize the results with a mean difference or odds ratio. Furthermore, the potential heterogeneity was tested through meta-regression/subgroup analyses/sensitive analysis. The quality of evidence for each outcome was assessed by the Grading of Recommendations Assessment, Development, and Evaluation approach.</p><p><strong>Results: </strong>Forty-three studies were included: 9 acupuncture versus sham acupuncture (n = 920), 26 acupuncture versus antidepressants (n = 2169), and 9 acupuncture plus antidepressants versus antidepressants (n = 667). Of the 43 high-quality articles, 24 and 8 were determined to have a low and moderate risk of bias, respectively. The pooled results for HAMD and SDS revealed the clinical benefits of acupuncture or acupuncture plus antidepressants compared to sham acupuncture or antidepressants, with high-quality evidence. Furthermore, high-quality evidence showed that acupuncture led to fewer adverse effects than antidepressants.</p><p><strong>Conclusions: </strong>Acupuncture or acupuncture plus antidepressants were significantly associated with reduced HAMD scores, with high-quality evidence. Also, more rigorous trials are needed to identify the optimal frequency of acupuncture for MDD and integrate such evidence into clinical care to reduce antidepressant use.</p>","PeriodicalId":19239,"journal":{"name":"Neuropsychobiology","volume":"82 1","pages":"1-13"},"PeriodicalIF":3.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9226202","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":"Precise Discrimination for Multiple Etiologies of Dementia Cases Based on Deep Learning with Electroencephalography.","authors":"Masahiro Hata,&nbsp;Yusuke Watanabe,&nbsp;Takumi Tanaka,&nbsp;Kimihisa Awata,&nbsp;Yuki Miyazaki,&nbsp;Ryohei Fukuma,&nbsp;Daiki Taomoto,&nbsp;Yuto Satake,&nbsp;Takashi Suehiro,&nbsp;Hideki Kanemoto,&nbsp;Kenji Yoshiyama,&nbsp;Masao Iwase,&nbsp;Shunichiro Ikeda,&nbsp;Keiichiro Nishida,&nbsp;Yoshiteru Takekita,&nbsp;Masafumi Yoshimura,&nbsp;Ryouhei Ishii,&nbsp;Hiroaki Kazui,&nbsp;Tatsuya Harada,&nbsp;Haruhiko Kishima,&nbsp;Manabu Ikeda,&nbsp;Takufumi Yanagisawa","doi":"10.1159/000528439","DOIUrl":"https://doi.org/10.1159/000528439","url":null,"abstract":"<p><strong>Introduction: </strong>It is critical to develop accurate and universally available biomarkers for dementia diseases to appropriately deal with the dementia problems under world-wide rapid increasing of patients with dementia. In this sense, electroencephalography (EEG) has been utilized as a promising examination to screen and assist in diagnosing dementia, with advantages of sensitiveness to neural functions, inexpensiveness, and high availability. Moreover, the algorithm-based deep learning can expand EEG applicability, yielding accurate and automatic classification easily applied even in general hospitals without any research specialist.</p><p><strong>Methods: </strong>We utilized a novel deep neural network, with which high accuracy of discrimination was archived in neurological disorders in the previous study. Based on this network, we analyzed EEG data of healthy volunteers (HVs, N = 55), patients with Alzheimer's disease (AD, N = 101), dementia with Lewy bodies (DLB, N = 75), and idiopathic normal pressure hydrocephalus (iNPH, N = 60) to evaluate the discriminative accuracy of these diseases.</p><p><strong>Results: </strong>High discriminative accuracies were archived between HV and patients with dementia, yielding 81.7% (vs. AD), 93.9% (vs. DLB), 93.1% (vs. iNPH), and 87.7% (vs. AD, DLB, and iNPH).</p><p><strong>Conclusion: </strong>This study revealed that the EEG data of patients with dementia were successfully discriminated from HVs based on a novel deep learning algorithm, which could be useful for automatic screening and assisting diagnosis of dementia diseases.</p>","PeriodicalId":19239,"journal":{"name":"Neuropsychobiology","volume":"82 2","pages":"81-90"},"PeriodicalIF":3.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9245233","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":"Fingernail Cortisol: A Biological Signal of Lifetime Major Depressive Disorder.","authors":"Sarah Schumacher,&nbsp;Sebastian Laufer,&nbsp;Susanne Fischer","doi":"10.1159/000531315","DOIUrl":"10.1159/000531315","url":null,"abstract":"<p><strong>Introduction: </strong>Elevated levels of the hypothalamic-pituitary-adrenal axis hormone cortisol are a frequently replicated finding in major depressive disorder (MDD). However, the current state of research is inconclusive as to whether hypercortisolism represents a trait- or state-like biological signal of MDD. The aim of the present study was to investigate, for the first time, whether cortisol in fingernails, a highly accessible tissue, could distinguish currently remitted individuals with MDD from healthy controls. A further aim was to identify potential confounders of nail cortisol.</p><p><strong>Methods: </strong>A total of N = 100 individuals from the general population were recruited. A structured clinical interview was administered, which resulted in two groups: n = 48 with lifetime MDD and n = 52 healthy controls. All participants answered questions on sociodemographic, lifestyle, and psychosocial characteristics. They also grew their nails for 14 days and cut them for the subsequent determination of cortisol.</p><p><strong>Results: </strong>The groups differed in their nail cortisol concentrations, such that the individuals with lifetime MDD had significantly higher concentrations than the healthy controls (p = 0.041). Within the group of individuals with lifetime MDD, the number of experienced episodes was significantly correlated with cortisol (p = 0.011). Income emerged as the only significant confounder of cortisol (p = 0.008).</p><p><strong>Conclusion: </strong>Elevated fingernail cortisol appears to be a biological signal of MDD, even in the absence of a current major depressive episode. Its high accessibility and robustness render it a promising methodology for remote research as well as for the integration of biomarkers into clinical research and practice.</p>","PeriodicalId":19239,"journal":{"name":"Neuropsychobiology","volume":"82 5","pages":"300-305"},"PeriodicalIF":3.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10614476/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41129985","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":"Impaired Decision-Making and Skin Conductance Responses Are Associated with Reward and Punishment Sensitivity in Individuals with Severe Alcohol Use Disorder.","authors":"Warren B Logge,&nbsp;Kirsten C Morley,&nbsp;Paul S Haber,&nbsp;Andrew J Baillie","doi":"10.1159/000529156","DOIUrl":"https://doi.org/10.1159/000529156","url":null,"abstract":"<p><strong>Introduction: </strong>Individuals with alcohol use disorder (AUD) have difficulties regulating alcohol consumption, despite adverse drinking-related consequences. This may be due to incapacity incorporating previous negative feedback from drinking, resulting in impaired decision-making.</p><p><strong>Methods: </strong>We assessed whether decision-making is impaired in participants with AUD related to severity of AUD, indexed by severe negative drinking consequences using the Drinkers Inventory of Consequences (DrInC) and reward and punishment sensitivity with the Behavioural Inhibition System Behavioural Activation System (BIS BAS) scales. 36 treatment-seeking alcohol-dependent participants completed the Iowa gambling task (IGT) with skin conductance responses (SCRs) measured continuously as an index of somatic autonomic arousal to evaluate impaired expectancy of negative outcomes.</p><p><strong>Results: </strong>Two-thirds of the sample showed behavioural impairment during the IGT, with greater AUD severity related to worse performance. BIS moderated IGT performance according to severity of AUD, with increased anticipatory SCRs for those with fewer reported DrInC severe consequences. Participants with more DrInC severe consequences showed IGT deficits and reduced SCRs regardless of BIS scores. BAS-Reward was associated with increased anticipatory SCRs to disadvantageous deck choices among those with lower AUD severity, while SCRs did not differ related to AUD severity for reward outcomes.</p><p><strong>Discussion: </strong>Effective decision-making in the IGT and adaptive somatic responses were moderated by punishment sensitivity contingent on severity of AUD in these drinkers, with impairments in expectancy to negative outcomes from risky choices, including reduced somatic responses, resulting in poor decision-making processes that may help explain impaired drinking and worse drinking-related consequences.</p>","PeriodicalId":19239,"journal":{"name":"Neuropsychobiology","volume":"82 2","pages":"117-129"},"PeriodicalIF":3.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10233679/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9935596","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":"Structural Correlates of Lifetime Voice-Hearing in Patients with Borderline Personality Disorder: A Pilot Study.","authors":"Katharina M Kubera,&nbsp;Mike M Schmitgen,&nbsp;Viviane Hildebrandt,&nbsp;Corinne Neukel,&nbsp;Marie-Luise Otte,&nbsp;Maurizio Sicorello,&nbsp;Sylvia Steinmann,&nbsp;Sabine C Herpertz,&nbsp;Robert Christian Wolf","doi":"10.1159/000528039","DOIUrl":"https://doi.org/10.1159/000528039","url":null,"abstract":"<p><strong>Introduction: </strong>Auditory verbal hallucinations (AVH) are transdiagnostic phenomena that can occur in several mental disorders, including borderline personality disorder (BPD). Despite the transdiagnostic relevance of these symptoms, very little is known about neural signatures of AVH in BPD.</p><p><strong>Methods: </strong>We used structural magnetic resonance imaging to investigate multiple markers of brain morphology in BPD patients presenting with a lifetime history of AVH (AVH, n = 6) versus BPD patients without AVH (nAVH, n = 10) and healthy controls (HC, n = 12). The Computational Anatomy Toolbox (CAT12) was used for surface-based morphometric analyses that considered cortical thickness (CTh), gyrification (CG), and complexity of cortical folding (CCF). Factorial models were used to explore differences between AVH patients and HC, as well as between the patient groups.</p><p><strong>Results: </strong>Compared to HC, AVH patients showed distinct abnormalities in key regions of the language network, i.e., aberrant CTh and CG in right superior temporal gyrus and abnormal CCF in left inferior frontal gyrus. Further abnormalities were found in right prefrontal cortex (CTh) and left orbitofrontal cortex (CCF). Compared to nAVH patients, individuals with AVH showed abnormal CTh in right prefrontal cortex, along with CCF differences in right transverse temporal, superior parietal, and parahippocampal gyri. CG differences between the patient groups were found in left orbitofrontal cortex.</p><p><strong>Conclusion: </strong>The data suggest a transdiagnostic neural signature of voice-hearing that converges on key regions involved in speech generation and perception, memory and executive control. It is possible that cortical features of distinct evolutionary and genetic origin, i.e., CTh and CG/CCF, differently contribute to AVH vulnerability in BPD.</p>","PeriodicalId":19239,"journal":{"name":"Neuropsychobiology","volume":"82 2","pages":"72-80"},"PeriodicalIF":3.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9245883","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":"Meta-Analysis of Electroencephalographic Correlates and Cognitive Performance for Acute Exercise-Induced Modulation.","authors":"Róger Marcelo Martínez,&nbsp;Chenyi Chen,&nbsp;Yang-Teng Fan,&nbsp;Hui-Hua Wu,&nbsp;Pin-Shiuan Du,&nbsp;Guan-Ya Chen,&nbsp;Yu-Chun Chen","doi":"10.1159/000529307","DOIUrl":"https://doi.org/10.1159/000529307","url":null,"abstract":"<p><strong>Introduction: </strong>Although abundant research delving into the acute exercise-induced modulation of cognitive performance and the P300-ERP component has been conducted, there is a lack of consensus regarding whether or not this type of intervention has a beneficial effect on cognition and how it relates to the P300-ERP.</p><p><strong>Methods: </strong>To examine the possible sources of this discrepancy, we conducted a meta-analysis of ERP results together with cognitive performance that were systemically stratified by relevant demographic and methodological moderators.</p><p><strong>Results: </strong>Our results indicate that while acute exercise exerted an overall stable effect on cognitive improvement, associated with enlarged P300 amplitudes, the effect size varied across factors of age, biological sex, exercise intensity, exercise type, control type, and experimental design. Future research taking into consideration modulating factors as to avoid misestimating the beneficial effects of acute exercise are encouraged.</p><p><strong>Conclusion: </strong>All in all, and to our knowledge, this is the first meta-analysis quantitatively summarizing the relevant literature on the associations between P300-ERP correlates, acute exercise, and its positive influence on attention and cognitive performance in healthy individuals.</p>","PeriodicalId":19239,"journal":{"name":"Neuropsychobiology","volume":"82 3","pages":"131-149"},"PeriodicalIF":3.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9943731","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":"Deep Learning in the Identification of Electroencephalogram Sources Associated with Sexual Orientation.","authors":"Anastasios Ziogas,&nbsp;Andreas Mokros,&nbsp;Wolfram Kawohl,&nbsp;Mateo de Bardeci,&nbsp;Ilyas Olbrich,&nbsp;Benedikt Habermeyer,&nbsp;Elmar Habermeyer,&nbsp;Sebastian Olbrich","doi":"10.1159/000530931","DOIUrl":"https://doi.org/10.1159/000530931","url":null,"abstract":"<p><strong>Introduction: </strong>It is unclear if sexual orientation is a biological trait that has neurofunctional footprints. With deep learning, the power to classify biological datasets without an a priori selection of features has increased by magnitudes. The aim of this study was to correctly classify resting-state electroencephalogram (EEG) data from males with different sexual orientation using deep learning and to explore techniques to identify the learned distinguishing features.</p><p><strong>Methods: </strong>Three cohorts (homosexual men, heterosexual men, and a mixed sex cohort), one pretrained network on sex classification, and one newly trained network for sexual orientation classification were used to classify sex. Further, Grad-CAM methodology and source localization were used to identify the spatiotemporal patterns that were used for differentiation by the networks.</p><p><strong>Results: </strong>Using a pretrained network for classification of males and females, no differences existed between classification of homosexual and heterosexual males. The newly trained network was able, however, to correctly classify the cohorts with a total accuracy of 83%. The retrograde activation using Grad-CAM technology yielded distinctive functional EEG patterns in the Brodmann area 40 and 1 when combined with Fourier analysis and a source localization.</p><p><strong>Discussion: </strong>This study shows that electrophysiological trait markers of male sexual orientation can be identified using deep learning. These patterns are different from the differentiating signatures of males and females in a resting-state EEG.</p>","PeriodicalId":19239,"journal":{"name":"Neuropsychobiology","volume":"82 4","pages":"234-245"},"PeriodicalIF":3.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10645442","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":"Treatment Resistance in Schizophrenia Is Associated with Attention Deficit/Hyperactivity Disorder and Gut Microbiota: A Genetic Correlation and Mendelian Randomization Study.","authors":"Bolun Cheng,&nbsp;Shiqiang Cheng,&nbsp;Chun'e Li,&nbsp;Wenming Wei,&nbsp;Li Liu,&nbsp;Peilin Meng,&nbsp;Xuena Yang,&nbsp;Yumeng Jia,&nbsp;Yan Wen,&nbsp;Feng Zhang","doi":"10.1159/000528316","DOIUrl":"https://doi.org/10.1159/000528316","url":null,"abstract":"<p><strong>Introduction: </strong>Observational studies highlight associations of common diseases with individual schizophrenia symptoms. However, it is unclear whether these diseases are associated with individual treatment-resistant schizophrenia (TRS). We aimed to explore the genetic associations between common immune diseases, metabolic diseases, psychiatric disorders, gut microbiota and TRS.</p><p><strong>Methods: </strong>Genome-wide association study (GWAS) summary data of European participants (n = ∼456,327) included TRS, 11 psychiatric disorders, 23 immune and metabolic diseases, body mass index, height, and 211 gut microbiota. In this genetic correlation and two-sample Mendelian randomization (MR) study, linkage disequilibrium score (LDSC) regression was applied to infer genetic correlation estimates. Two-sample MR tested potential causal associations of genetic variants associated with common immune diseases, metabolic diseases, psychiatric disorders, and gut microbiota with TRS.</p><p><strong>Results: </strong>LDSC revealed candidate associations between attention deficit/hyperactivity disorder (ADHD), schizophrenia, intestinal infectious diseases, obesity and TRS (genetic correlation range, 0.230-0.702; p < 0.05). Two-sample MR analyses suggested that ADHD was positively associated with TRS (estimate [SE] = 0.204 [0.073], p = 0.005), a finding that remained stable across statistical models. Besides, schizophrenia and genus Barnesiella levels were causally associated with TRS but not consistent across MR approaches.</p><p><strong>Conclusion: </strong>This study reports genetic correlations between ADHD, schizophrenia, intestinal infectious diseases, obesity and TRS. The study also found that genus Barnesiella was associated with TRS. These findings may have clinical implications, highlighting the possible strategy for TRS prevention.</p>","PeriodicalId":19239,"journal":{"name":"Neuropsychobiology","volume":"82 1","pages":"24-32"},"PeriodicalIF":3.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9227166","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}