Background The co-occurrence of depression and anxiety among adolescents is typically associated with suicide ideation.Aims The study aimed to investigate the symptom-level relationship between suicide ideation and th...Background The co-occurrence of depression and anxiety among adolescents is typically associated with suicide ideation.Aims The study aimed to investigate the symptom-level relationship between suicide ideation and the comorbidity of depression and anxiety.Methods 1501 adolescents aged 12-19 years were assessed using the Patient Health Questionnaire(PHQ-9)and the Generalized Anxiety Disorder Scale,and 716 adolescents who scored≥5 on both scales were selected as participants.Network analysis was used to identify the network structure of depressive symptoms and anxiety symptoms.Participants were categorised into either the suicide ideation or non-suicide ideation groups based on their scoring on the suicide-related item in PHQ-9.A comparison was made between the depression-anxiety symptom networks of the two groups.Results‘Restlessness’,‘sad mood’and‘trouble relaxing’were the most prominent central symptoms in the depression-anxiety symptom network,and‘restlessness’,‘nervousness’and‘reduced movement’were the bridge symptoms in this network.‘Sad mood’was found to be directly related to‘suicide ideation’with the highest variance.The network structure was significantly different in properties between the suicide ideation group and the non-suicide ideation group,with‘restlessness’and‘sad mood’exhibiting significantly higher influence in the network of the suicide ideation group than that in the non-suicide ideation group.Conclusion Restlessness and sad mood could be targeted for the intervention of depression-anxiety symptoms among adolescents with suicide ideation.展开更多
The gut microbiota is a complex and dynamic ecosystem known as the second brain'.Composing the microbiota-gut-brain axis,the gut microbiota and its metabolites regulate the central nervous system through neural,en...The gut microbiota is a complex and dynamic ecosystem known as the second brain'.Composing the microbiota-gut-brain axis,the gut microbiota and its metabolites regulate the central nervous system through neural,endocrine and immune pathways to ensure the normal functioning of the organism,tuning individuals'health and disease status.Short-chain fatty acids(SCFAs),the main bioactive metabolites of the gut microbiota,are involved in several neuropsychiatric disorders,including depression.SCFAs have essential effects on each component of the microbiota-gut-brain axis in depression.In the present review,the roles of major SCFAs(acetate,propionate and butyrate)in the pathophysiology of depression are summarised with respect to chronic cerebral hypoperfusion,neuroinflammation,host epigenome and neuroendocrine alterations.Concluding remarks on the biological mechanisms related to gut microbiota will hopefully address the clinical value of microbiota-related treatments for depression.展开更多
Schizophrenia is a severe mental disorder characterized by impaired perception, delusions, thought disorder, abnormal emotion regulation, altered motor function, and impaired drive. The default mode network （DMN）, s...Schizophrenia is a severe mental disorder characterized by impaired perception, delusions, thought disorder, abnormal emotion regulation, altered motor function, and impaired drive. The default mode network （DMN）, since it was first proposed in 2001, has become a central research theme in neuropsychiatric disorders, including schizophrenia. In this review, first we define the DMN and describe its functional activity, functional and anatomical connectivity, heritability, and inverse correlation with the task positive network. Second, we review empirical studies of the anatomical and functional DMN, and anti-correlation between DMN and the task positive network in schizophrenia. Finally, we review preliminary evidence about the relationship between antipsychotic medications and regulation of the DMN, review the role of DMN as a treatment biomarker for this disease, and consider the DMN effects of individualized therapies for schizophrenia.展开更多
基金This study was supported by the STI2030-Major Projects(2021ZD0202000 to YZ)the National Natural Science Foundation of China(82101612 to YJ)+1 种基金the Science and Technology Innovation Program of Hunan Province(2023RC3083 to BL&2021RC2040 to YJ)the Central South University Postdoctoral Programme(YJ)and the Postgraduate Innovative Project of Central South University(SX).
文摘Background The co-occurrence of depression and anxiety among adolescents is typically associated with suicide ideation.Aims The study aimed to investigate the symptom-level relationship between suicide ideation and the comorbidity of depression and anxiety.Methods 1501 adolescents aged 12-19 years were assessed using the Patient Health Questionnaire(PHQ-9)and the Generalized Anxiety Disorder Scale,and 716 adolescents who scored≥5 on both scales were selected as participants.Network analysis was used to identify the network structure of depressive symptoms and anxiety symptoms.Participants were categorised into either the suicide ideation or non-suicide ideation groups based on their scoring on the suicide-related item in PHQ-9.A comparison was made between the depression-anxiety symptom networks of the two groups.Results‘Restlessness’,‘sad mood’and‘trouble relaxing’were the most prominent central symptoms in the depression-anxiety symptom network,and‘restlessness’,‘nervousness’and‘reduced movement’were the bridge symptoms in this network.‘Sad mood’was found to be directly related to‘suicide ideation’with the highest variance.The network structure was significantly different in properties between the suicide ideation group and the non-suicide ideation group,with‘restlessness’and‘sad mood’exhibiting significantly higher influence in the network of the suicide ideation group than that in the non-suicide ideation group.Conclusion Restlessness and sad mood could be targeted for the intervention of depression-anxiety symptoms among adolescents with suicide ideation.
基金the National Natural Science Foundation of China(82001437 and 82371535)STI2030-Major Projects(2021ZD0202000)the Science and Technology Innovation Program of Hunan Province(2023RC3083).
文摘The gut microbiota is a complex and dynamic ecosystem known as the second brain'.Composing the microbiota-gut-brain axis,the gut microbiota and its metabolites regulate the central nervous system through neural,endocrine and immune pathways to ensure the normal functioning of the organism,tuning individuals'health and disease status.Short-chain fatty acids(SCFAs),the main bioactive metabolites of the gut microbiota,are involved in several neuropsychiatric disorders,including depression.SCFAs have essential effects on each component of the microbiota-gut-brain axis in depression.In the present review,the roles of major SCFAs(acetate,propionate and butyrate)in the pathophysiology of depression are summarised with respect to chronic cerebral hypoperfusion,neuroinflammation,host epigenome and neuroendocrine alterations.Concluding remarks on the biological mechanisms related to gut microbiota will hopefully address the clinical value of microbiota-related treatments for depression.
基金supported by the National Natural Science Foundation of China(81271484,81471361,30900486,and 81371480)the National Basic Research Development Program(973 Program)of China(2012CB517904)the Nation Sponsored Study Abroad Program from China Scholarship Council(201506370095)
文摘Schizophrenia is a severe mental disorder characterized by impaired perception, delusions, thought disorder, abnormal emotion regulation, altered motor function, and impaired drive. The default mode network （DMN）, since it was first proposed in 2001, has become a central research theme in neuropsychiatric disorders, including schizophrenia. In this review, first we define the DMN and describe its functional activity, functional and anatomical connectivity, heritability, and inverse correlation with the task positive network. Second, we review empirical studies of the anatomical and functional DMN, and anti-correlation between DMN and the task positive network in schizophrenia. Finally, we review preliminary evidence about the relationship between antipsychotic medications and regulation of the DMN, review the role of DMN as a treatment biomarker for this disease, and consider the DMN effects of individualized therapies for schizophrenia.
