Neurexin dysfunction in neurodevelopmental and neuropsychiatric disorders: a PRIMSA-based systematic review through iPSC and animal models.

Background: Neurexins, essential synaptic proteins, are linked to neurodevelopmental and neuropsychiatric disorders like autism spectrum disorder (ASD) and schizophrenia. Objective: Through this systematic review, we aimed to shed light on the relationship between neurexin dysfunction and its implications in neurodevelopmental and neuropsychiatric manifestations. Both animal and human-induced pluripotent stem cell (hiPSC) models served as our primary investigative platforms. Methods: Utilizing the PRISMA 2020 guidelines, our search strategy involved scouring articles from the PubMed and Google Scholar databases covering a span of two decades (2003-2023). Of the initial collection, 27 rigorously evaluated studies formed the essence of our review. Results: Our review suggested the significant ties between neurexin anomalies and neurodevelopmental and neuropsychiatric outcomes, most notably ASD. Rodent-based investigations delineated pronounced ASD-associated behaviors, and hiPSC models derived from ASD-diagnosed patients revealed the disruptions in calcium dynamics and synaptic activities. Additionally, our review underlined the integral role of specific neurexin variants, primarily NRXN1, in the pathology of schizophrenia. It was also evident from our observation that neurexin malfunctions were implicated in a broader array of these disorders, including ADHD, intellectual challenges, and seizure disorders. Conclusion: This review accentuates the cardinal role neurexins play in the pathological process of neurodevelopmental and neuropsychiatric disorders. The findings underscore a critical need for standardized methodologies in developing animal and hiPSC models for future studies, aiming to minimize heterogeneity. Moreover, we highlight the need to expand research into less studied neurexin variants (i.e., NRXN2 and NRXN3), broadening the scope of our understanding in this field. Our observation also projects hiPSC models as potent tools for bridging research gaps, promoting translational research, and fostering the development of patient-specific therapeutic interventions.

Association between patterns of biological rhythm and self-harm: evidence from the baoxing youth mental health (BYMH) cohort.

BACKGROUND: Self-harm, a severe mental health concern among children and adolescents, has varying global prevalence rates. Previous studies have suggested potential associations between specific behavioral aspects of biological rhythm and self-harm risk in these populations. OBJECTIVE: Our study aimed to elucidate the relationship between biological rhythm patterns and the propensity of self-harm among Chinese children and adolescents using the Baoxing Youth Mental Health (BYMH) cohort. METHODS: We included 1883 Chinese children and adolescents from the BYMH cohort. The self-report questions used to assess biological rhythm and self-harm. We applied Principal Component Analysis (PCA) to distinguish patterns of biological rhythms. Logistic regression models were conducted to estimate the associations between biological rhythm, as well as biological rhythm patterns and risk of self-harm. RESULTS: Of the participants, 35.0% reported experiencing lifetime self-harm. PCA revealed six significantly predominant biological rhythm patterns. Elevated risks of self-harm were linked with unhealthy eating practices, daytime tiredness, and unhealthy bedtime snacking. Conversely, patterns emphasizing physical exercise, family meals for breakfast, and nutritious diet exhibited decreased self-harm propensities. These trends persisted across varied self-harm attributes, including type, recency, and frequency of self-harm. CONCLUSIONS: This study underscores the critical impact of biological rhythms on self-harm risks among Chinese youth. Targeted lifestyle interventions, focusing on improved sleep and dietary habits, could serve as potent preventive measures. Our findings lay the groundwork for future longitudinal studies to further probe these associations, fostering the creation of tailored interventions to curb self-harm and enhance mental well-being in younger populations.

Adverse childhood experiences and psychological functioning among women with schizophrenia or bipolar disorder: population-based study.

BACKGROUND: Adverse childhood experiences (ACEs) are well-known risk factors for schizophrenia and bipolar disorder. AIMS: The aim was to study the associations between specific ACEs and psychological functioning in women with schizophrenia or bipolar disorder. METHOD: Among 29 367 women (mean age 44 years) from the Icelandic Stress-And-Gene-Analysis (SAGA) study, 534 (1.8%, mean age 40) reported having been diagnosed with schizophrenia or bipolar disorder, which were combined to 'severe mental disorders'. Participants reported on 13 types of ACEs, childhood deprivation and psychological functioning (defined as coping ability and current symptoms of depression, anxiety and sleep disturbances). Adjusted Poisson regression calculated prevalence ratios (PRs) between ACEs and severe mental disorders. Linear regression assessed the association between ACEs and psychological functioning among women with a severe mental disorder. RESULTS: Women with a severe mental disorder reported more ACEs (mean 4.57, s.d. = 2.82) than women without (mean 2.51, s.d. = 2.34) in a dose-dependent manner (fully-adjusted PR = 1.23 per ACE, 95% CI 1.20-1.27). After mutual adjustment for other ACEs, emotional abuse, sexual abuse, mental illness of a household member, emotional neglect, bullying and collective violence were associated with severe mental disorders. Among women with severe mental disorders, a higher number of ACEs was associated with increased symptom burden of depression (ß = 2.79, 95% CI = 1.19-4.38) and anxiety (ß = 2.04, 95% CI = 0.99-3.09) including poorer sleep quality (ß = 0.83, 95% CI = 0.07-1.59). Findings were similar for schizophrenia and bipolar disorder separately. CONCLUSION: Women with schizophrenia or bipolar disorder show a strong history of ACEs, which may interfere with their psychological functioning and, therefore, need to be addressed as part of their treatment, for example, with trauma-focused psychotherapy.

Lymphoid-specific helicase inhibits cervical cancer cells ferroptosis by promoting Nrf2 expression.

Background: Cervical cancer is a major cause of morbidity and mortality in women worldwide. The underlying mechanisms of its progression are not well understood. In this study, we investigated the role of lymphoid-specific helicase (HELLS) in cervical cancer. Methods: We measured HELLS expression in cervical cancer and assessed its function using gain- and loss-of-function experiments. Cell viability was measured using the Cell Counting Kit-8 (CCK8 ) assay, and cell proliferation was analyzed using colony formation and EdU assays. Results: We found that HELLS was significantly increased in cervical cancer and that its overexpression promoted cell viability (P < 0.01) and colony formation (P < 0.001). In contrast, si-HELLS suppressed these effects. Moreover, HELLS overexpression inhibited cell death induced by the ferroptosis inducer erastin (P < 0.01). Mechanistically, we found that HELLS promoted cervical cancer proliferation by regulating nuclear factor erythroid 2-related factor 2 (Nrf2)-mediated ferroptosis. Conclusion: Our data suggest that HELLS promotes cervical cancer proliferation by inhibiting Nrf2 expression. Therefore, HELLS knockdown may be an effective treatment for cervical cancer.

Associations between intimate partner violence and adverse birth outcomes during pregnancy: a systematic review and meta-analysis.

Background: Intimate partner violence (IPV) has been associated with an elevated risk of multiple adverse birth outcomes, yet little is known about how specific IPV influences adverse birth outcomes. The aim of this study was to examine the association between IPV during pregnancy and adverse birth outcomes (i.e., preterm birth, low birth weight, and stillbirth). Methods: Systematic searches were conducted using four databases: EMBASE, Web of Science, PubMed, and CINAHL for observational studies published from 1 January 2011 to 31 August 2021. Two reviewers independently carried out the literature search, study selection, data extraction, assessment of the study, and risk of bias assessment; disagreements were resolved by a third reviewer. A random-effect model was used to calculate the odds ratio (OR) with a 95% confidence interval (CI) for preterm birth, low birth weight, and stillbirth. I2 statistic accompanied by chi-square p-value was used to assess heterogeneity, and funnel plot and Peter's test were used to assess publication bias. Results: In total, 23 studies met the inclusion criterion. IPV was associated with preterm birth (OR = 1.84; 95% CI: 1.37-2.49; I2 = 88%), low birth weight (OR = 2.73; 95% CI: 1.66-4.48; I2 = 95%), and stillbirth (OR = 1.74; 95% CI: 0.86-3.54; I2 = 64%). We attained comparable results among all specific IPV including physical, sexual, emotional, and mixed. Conclusion: Intimate partner violence and specific IPV during pregnancy were significantly associated with adverse birth outcomes, especially for physical IPV. An urgent need for greater action to prevent or intervene in IPV during pregnancy is warranted. Systematic review registration: CRD42021282936, https://www.crd.york.ac.uk/prospero/.

The Mediating Role of Positive Attitudes on the Relationship Between Esports Gaming Hours and Psychological Well-Being During the COVID-19 Pandemic.

Electronic sports game (esports) gaming has seen a surge in popularity, especially during the coronavirus disease 2019 (COVID-19) pandemic, with more young people turning to it as an alternative to physical activities. However, the impact of esports gaming on mental health is a matter of concern. Previous studies have produced inconsistent findings on the relationship between gaming hours and mental health, and the moderating factors involved remain unexplored. This study aimed to investigate the moderating effect of participants' subjective attitudes toward esports gaming on the relationship between daily gaming hours and psychological well-being (PWB) among Chinese young adults during the COVID-19 lockdown. A nationwide online survey was conducted on 550 Chinese young adults using the Credamo platform. Ryff's Psychological Well-Being Scales (42-Item version) were used to assess PWB levels. The analysis included 453 participants. Gaming hours were negatively correlated with PWB scores. However, when considering the moderating effect of subjective attitudes, the association between gaming hours and PWB scores was largely positive. Our study suggests that subjective attitudes toward esports gaming outweigh gaming hours in promoting personal psychological well-being. We propose practical recommendations for healthy esports participation patterns that prioritize positive attitudes, especially in similar future scenarios like COVID-19. Our findings may inform future psychological intervention and research in the esports domain.

Trends in incident diagnoses and drug prescriptions for anxiety and depression during the COVID-19 pandemic: an 18-month follow-up study based on the UK Biobank.

Serious concerns have been raised about the negative effects of the COVID-19 pandemic on population psychological well-being. However, limited data exist on the long-term effects of the pandemic on incident psychiatric morbidities among individuals with varying exposure to the pandemic. Leveraging prospective data from the community-based UK Biobank cohort, we included 308,400 participants free of diagnosis of anxiety or depression, as well as 213,757 participants free of anxiolytics or antidepressants prescriptions, to explore the trends in incident diagnoses and drug prescriptions for anxiety and depression from 16 March 2020 to 31 August 2021, compared to the pre-pandemic period (i.e., 1 January 2017 to 31 December 2019) and across populations with different exposure statuses (i.e., not tested for COVID-19, tested negative and tested positive). The age- and sex-standardized incidence ratios (SIRs) were calculated by month which indicated an increase in incident diagnoses of anxiety or depression among individuals who were tested for COVID-19 (tested negative: SIR 3.05 [95% confidence interval 2.88-3.22]; tested positive: 2.03 [1.76-2.34]), especially during the first six months of the pandemic (i.e., March-September 2020). Similar increases were also observed for incident prescriptions of anxiolytics or antidepressants (tested negative: 1.56 [1.47-1.67]; tested positive: 1.41 [1.22-1.62]). In contrast, individuals not tested for COVID-19 had consistently lower incidence rates of both diagnoses of anxiety or depression (0.70 [0.67-0.72]) and prescriptions of respective psychotropic medications (0.70 [0.68-0.72]) during the pandemic period. These data suggest a distinct rise in health care needs for anxiety and depression among individuals tested for COVID-19, regardless of the test result, in contrast to a reduction in health care consumption for these disorders among individuals not tested for and, presumably, not directly exposed to the disease.

Physical and Mental Activity, Disease Susceptibility, and Risk of Dementia: A Prospective Cohort Study Based on UK Biobank.

BACKGROUND AND OBJECTIVES: The association between patterns of physical/mental activity and dementia and how it is affected by disease susceptibility remains unknown. We aimed to examine the association between patterns of physical and mental activity and dementia and whether it can be modified by disease susceptibility to dementia. METHODS: In a prospective cohort study based on UK Biobank, 501,376 dementia-free participants were recruited in 2006-2010 and followed from 1 year after the recruitment date until the end of 2019 for ascertainment of dementia. Data on physical (i.e., physical activity at leisure time, housework-related activity, and transportation) and mental (i.e., intelligence, social contact, and use of electronic device) activity were collected using questionnaires at recruitment. Cox models were used to estimate the associations of physical and mental activity-related items, as well as major activity patterns identified by principal component analysis, with the risk of dementia, adjusted for multiple confounders. The modification role of disease susceptibility on such associations was assessed through stratified analyses by the polygenic risk score (PRS) of dementia generated based on summary statistics of independent genome-wide association studies, by the APOE genotype, and by the self-reported family history of dementia. RESULTS: The mean age at recruitment was 56.53, and 45.60% of the participants were male. During a mean follow-up of 10.66 years, 5,185 dementia cases were identified. When analyzed separately, multiple studied items related to physical and mental activity showed significant associations with the risk of dementia. The pattern analyses revealed that a higher level of adherence to activity patterns related to frequent vigorous and other exercises (hazard ratio 0.65, 95% CI 0.59-0.71), housework-related activity (0.79, 0.72-0.85), and friend/family visit (0.85, 0.75-0.96) was associated with a lower risk of dementia. We obtained comparable results for vascular dementia and Alzheimer disease as well as in the stratified analyses by the PRS for dementia, APOE genotype, or family history of dementia. DISCUSSION: Activity patterns more adherent to frequent vigorous and other exercises, housework-related activity, and friend/family visit were associated with a reduced risk of multiple types of dementia. Such associations are independent of disease susceptibility, highlighting the potential of these physical and mental activity patterns, as effective interventions, in the primary prevention of dementia.

[Disease Characteristics, Treatment, and Prognosis of Chinese Patients with Autoimmune Encephalitis: A Retrospective Study].

OBJECTIVE: To investigate the clinical features and prognosis of autoimmune encephalitis (AE). METHODS: Accessing data from the electronic medical records of patients receiving care at West China Hospital, Sichuan University, China between 2013 and 2019, we conducted a retrospective study of the disease characteristics, laboratory examinations, treatment, and prognosis of AE patients. Before they were discharged, modified Rankin Scale (mRS) was used to assess the prognosis of AE patients and their mRS scores were then used to categorize patients as having good prognosis (mRS scores of 0-2) or poor prognosis (mRS scores of 3-6). Multivariate logistic regression was used to analyze risk factors associated with poor prognosis. RESULTS: A total of 121 patients were included in the study. The male-to-female ratio was 1∶1.1. At the time of diagnosis, patients were mainly from the age group of young to middle-aged individuals. Among the 121 patients, 64.5% (78 patients) had anti-N-methyl D-aspartate receptor (NMDAR) encephalitis, accounting for the largest proportion. 33.1% (40 patients) first visited the Department of Psychiatry for medical assistance. 62.8% (76 patients ) showed prodromal symptoms. The common clinical manifestations of the AE patients at the time of admission included cognitive dysfunction (104 patients, 86.0%), thought disorder (90 patients, 74.4%), and altered behaviors (88 patients, 72.7%). The NMDAR antibody titers were higher in the cerebrospinal fluid (CSF) than those in the serum. Double-positive antibodies were detected in 6 patients. No abnormality was observed in the brain magnetic resonance imaging (MRI) of 42 patients (34.7%) . Electroencephalography abnormalities were observed in 71 patients (58.7%). 111 patients (91.7%) received first-line immunotherapy and 61 patients (50.4%) still had neuropsychiatric deficits when they were discharged. Multivariate logistic regression revealed that consciousness disorder (odds ratio [ OR] =4.230, 95% confidence interval [ CI] : 1.540-11.617; P=0.005), altered behavior ( OR=2.997, 95% CI: 1.068-8.406; P=0.037) and movement disorder ( OR=7.753, 95% CI: 1.446-41.578; P=0.017) were risk factors for poor clinical prognosis of AE patients. CONCLUSIONS: Patients with AE mainly manifest cognitive damage. Half of the patients left neuropsychiatric deficits. The relationship between CSF titers and serum titers is unparalleled. The options of immunotherapy show no difference in their influence on prognosis. Cognitive dysfunction, altered behavior and movement disorder are independent risk factors for a poor prognosis at discharge.

The DRD2 Taq1A polymorphism moderates the effect of PTSD symptom severity on the left hippocampal CA3 volume: a pilot study.

RATIONALE AND OBJECTIVES: The hippocampus, especially the CA1, CA3, and dentate gyrus (DG) subfields, is reported to be associated with post-traumatic stress disorder (PTSD) after trauma. However, neuroimaging studies of the associations between PTSD and hippocampal subfield volumes have failed to yield consistent findings. The aim of this study is to examine whether the dopamine D2 receptor (DRD2) Taq1A polymorphism, which is associated with both hippocampal function and PTSD, moderated the association between PTSD severity and hippocampal CA1, CA3 and DG volumes. METHODS: T1-weighted images were acquired from 142 trauma survivors from the 2008 Wenchuan earthquake using a 3.0-T magnetic resonance imaging system. Hippocampal subfield segmentations were performed with FreeSurfer v6.0. We used the simple moderation model from the PROCESS v3.4 tool for SPSS 23.0 to examine the association between the rs1800497 polymorphism, PTSD severity, and hippocampal CA3 and DG volumes. RESULTS: A significant genotype × PTSD symptom severity interaction was found for the left CA3 volume (ΔF = 5.01, p = 0.008, ΔR2 = 0.05). Post hoc, exploratory analyses deconstructing the interaction revealed that severe PTSD symptomatology were associated with reduced left CA3 volume among TC heterozygotes (t = - 2.86, p = 0.005). CONCLUSIONS: This study suggests that DRD2 Taq1A polymorphism moderates the association between PTSD symptomatology and left CA3 volume, which promotes an etiological understanding of the hippocampal atrophy at the subfield level. This highlights the complex effect of environmental stress, and provides possible mechanism for the relationship between the dopaminergic system and hippocampal function in PTSD.

MALAT1 Inhibits Proliferation of HPV16-Positive Cervical Cancer by Sponging miR-485-5p to Promote Expression of MAT2A.

Cervical cancer is the leading cause of morbidity and mortality in women throughout the world, human papillomavirus 16 (HPV16) is the main type of HPV causing invasive cervical cancer. However, the underlying mechanism of the high carcinogenicity of HPV16 remains unclear. In the current study, we documented that metastasis-associated lung adenocarcinoma transcript 1 (MALAT1), a long noncoding RNA, is upregulated in HPV16-positive cervical cancer tissue and cell lines. The results of immunohistochemistry and immunofluorescence showed that MALAT1 was mainly localized in the cytoplasm. To clarify the biological functions of MALAT1 in cervical cancer cells, we performed gain- and loss-of-function experiments to explore the underlying molecular mechanism. Functionally, the proliferation of cervical cancer was detected by Cell Counting Kit-8 (CCK-8) and colony formation assay in MALAT1 overexpression or knockdown cells, our data showed that MALAT1 promotes the proliferation of cervical cancer cells. Mechanistically, our results suggested that MALAT1 upregulates Methionine adenosyltransferase 2A (MAT2A) by sponging miR-485-5p. Moreover, the gain-of-function assay validated the function of MAT2A in HPV16-positive cervical cancer proliferation. Taken together, our results demonstrated that MALAT1 acts as a competitive endogenous RNA (ceRNA) to regulate MAT2A by sponging miR-485-5p in HPV16-positive cervical cancer, suggesting that MALAT1 may act as a potential therapeutic target for HPV16-positive cervical cancer.

Expression of the HOXA gene family and its relationship to prognosis and immune infiltrates in cervical cancer.

BACKGROUND: The homeobox A cluster (HOXA) gene family is participated in multiple biological functions in human cancers. To date, little is known about the expression profile and clinical significance of HOXA genes in cervical cancer. METHODS: We downloaded RNASeq data of cervical cancer from The Cancer Genome Atlas (TCGA) database. The difference in HOXA family expression was analyzed using independent samples t test. Cox proportional hazard regression analysis was used to assess the effect of HOXA family expression on survival, and a nomogram predicting survival was generated. We assessed the infiltration difference in immune cells and expression difference of immunity biomarkers between two groups with different expression level of HOXA genes through Immune Cell Abundance Identifier (ImmuCellAI) and independent samples t test, respectively. RESULTS: Our results showed that the HOXA1 gene was upregulated, while the HOXA10 and HOXA11 were downregulated in cervical cancer. Downregulation of HOXA1 was related to a poor outcome for cervical cancer patient. We also identified a significantly increased abundance of T helper 2 cells (Th2) and higher expression of PD-L1 in cervical cancer patients with lower expression of HOXA10 and HOXA11. The gene set enrichment analysis (GSEA) results indicated that HOXA1 and HOXA11 were involved in immune responses pathways and participated in the activation of a variety of classic signaling pathways related to the progression of human cancer. CONCLUSION: This study comprehensively analyzed different HOXA genes applying public database to determine their expression patterns, potential diagnostic, prognostic, and treatment values in cervical cancer.

Patterns of Depression and Resilience in Children and Adolescents Exposed to an Earthquake: A Latent Profile Analysis.

OBJECTIVE: Depression and resilience are different psychological outcomes caused by experiencing traumatic events. We aimed to 1) explore heterogeneity patterns of co-occurrence between depression symptoms and resilience among children and adolescents exposed to an earthquake and 2) assess covariates (trauma exposure, sex, age, ethnicity, and sleep quality) in identifying the best fitting solution. METHODS: Latent profile analysis (LPA) was used to examine patterns of self-reported depression and resilience in an epidemiological sample of 2,887 Chinese youth survivors 1 year after the Lushan earthquake. RESULTS: A suitable 3-class model were identified, which are mild depression/high resilience (65.0%), severe depression/high resilience (22.1%), and severe depression/low resilience (12.9%). Trauma exposure, demographic characteristics and sleep state can be used to identify the different latent classes. CONCLUSION: Our results contribute to understanding the heterogeneous coexisting patterns of depression and resilience and provide suggestions for identifying high-risk youth survivors and offering effective interventions.

Temporal rank of clinical characteristics and prognosis of anti-N-methyl-d-aspartate receptor encephalitis.

OBJECTIVES: Early recognition and intervention of patients with the anti-N-methyl-d-aspartate receptor (NMDAR) encephalitis are important to achieve a better prognosis. The study aims to summarize the real-world perspectives of anti-NMDAR encephalitis patients in China via electronic medical records (EMRs). METHODS: Using EMRs of patients from 2013 to 2019 from West China Hospital in China, a retrospective research was conducted to demonstrate the temporary rank of clinical characteristics and disease prognosis of anti-NMDAR encephalitis. The modified Rankin Scale (mRS) scores were used to divide the anti-NMDAR-encephalitis into two groups (poor prognosis vs. good prognosis). Chi-square test and logistic regression were used to analyze factors associated with prognosis. RESULTS: Here, 78 patients were included. The most common clinical characteristics are cognitive dysfunction (86.0%) and thought disorder (86.0%). Cognitive dysfunction, thought disorder, and seizures tended to appear soon after prodrome symptoms. Logistics analysis results showed that cognitive dysfunction (OR = 4.48, 95% CI = 1.09-18.47), the score of (GCS ≤ 8) (OR = 4.52, 95% CI = 1.18-17.32), positive antibodies in serum (OR = 4.89, 95% CI = 1.19-20.13) and delay immunotherapy (OR = 4.76, 95% CI = 1.79-12.60) were risk factors of poor clinical outcomes. CONCLUSIONS: There are two peaks in the development of autoimmune encephalitis (AE). The first peak is cognitive dysfunction, and the second peak is autonomic dysfunction. Cognitive dysfunction and GCS score ≤8 at admission, antibodies positive in serum, and delay immunotherapy were risk factors for a poor prognosis at discharge.

Mapping the Presence of Anxiety Symptoms in Adults With Major Depressive Disorder.

Background: Patients with major depressive disorder (MDD) often present with co-occurring anxiety symptoms. The network method provides a novel view on understanding the co-occurrence of depressive and anxiety symptoms. Thus, the purpose of our study was to explore it by applying network analysis methods. Methods: We used electronic medical records from West China Hospital in China. In total, 3,424 patients who met the criteria for MDD were included. R-studio 3.6 was used to estimate the network structure. First, we estimated the network structure of depression and anxiety symptoms using the graphic LASSO algorithm. Then, we estimated the centrality indices of nodes to determine which symptoms are more central in the network. We then estimated the bridge centrality indices using the bridge function via the R package networktools. Results: Some strong connections were found like "easy to wake up," "wake up early," and "difficulty falling asleep," "suicidal thoughts," and "hopelessness." "Depressed mood," "somatic anxiety," "hopelessness," "anxiety mood," and "tension" have the higher centrality indices. Results revealed eight bridge symptoms (e.g., concentration/memory difficulty, gastrointestinal symptoms) in the co-occurrence network structure. Conclusions: This research suggests that the described approach in mapping the presence of anxiety symptoms in individuals with major depression might potentially increase diagnostic precision and help choose more targeted interventions and potentially reduce the occurrence of treatment resistance.

Psychological State Among the General Chinese Population Before and During the COVID-19 Epidemic: A Network Analysis.

Background: The infectious disease Coronavirus Disease 2019 (COVID-19) outbroke in 2019 spread to multiple countries. The quick spread of the virus and isolation strategies may trigger psychological problems. Our aim was to explore the dynamic network structure of the psychological state before and during the epidemic. Methods: A web-based survey was conducted in two stages: the T1 stage (1 January 2019 to 31 December 2019) and the T2 stage (1 February 2020 to 8 March 2020). In both stages, the Patient Health Questionnaire-9, General Anxiety Disorder-7, and Pittsburgh Sleep Quality Index were used to assess depression, anxiety, and sleep, respectively. Results: We matched the data based on IP addresses. We included 1,978, 1,547, and 2,061 individuals who completed the depression, anxiety, and sleep assessments, respectively, at both stages. During epidemics, psychomotor agitation/retardation, inability to relax, restless behavior, and the frequency of using medicine had high centrality. Meanwhile, the network structure of psychological symptoms becomes stronger than before the epidemic. Conclusion: Symptoms of psychomotor agitation/retardation, inability to relax, and restless behavior should be treated preferentially. It is necessary to provide mental health services, including timely and effective early psychological intervention. In addition, we should also pay attention to the way patients use medicines to promote sleep quality.

[A Review of Research Progress in the Pathophysiological Mechanism of Stress-related Mental Disorders].

Stress can improve an individual's ability to adapt to environmental changes. However, excessive stress can induce stress-related mental disorders, including anxiety disorder, depression disorder and post-traumatic stress disorder (PTSD). Stress can regulate the level of hormones and immune inflammation in the body through the brain network, neural circuits, hypothalamic-pituitary-adrenal axis and the sympathetic nervous system, thereby causing the occurrence of mental disorders. In addition, stress can mediate the occurrence of mental disorders by regulating molecular changes in the level of genes, transcription, protein and metabolism, etc. Studies have shown that the brain-gut axis also plays an important role in the pathogenesis of stress-related mental disorders. However, the pathophysiological mechanism of stress-related mental disorders remains unclear. Besides, studies have also shown that the onset of stress-related mental disorders is closely associated with the individual's physiological and psychological qualities,which has a cross-talk with other mental and physical diseases as well. Therefore, it is important to study individual premorbid diathesis clinical, and to conduct clinical medical, basic medical, and psychological studies of the different stages of the disease, so as to obtain further understanding of the pathogenesis of stress-related mental disorders.

Heterogeneity in the co-occurrence of depression and anxiety symptoms among youth survivors: A longitudinal study using latent profile analysis.

AIM: Depression and anxiety are both common psychological outcomes triggered via trauma-related experience. The current study aimed to identify the prevalence of depression and anxiety among youth survivors, explore the heterogeneity patterns of depression and anxiety symptoms in the chronic phase, and integrate early available information to predict patterns. METHODS: The study is a longitudinal study conducted at 2 weeks and 12 months after the Lushan earthquake. Finally, 1725 children and adolescents' survivors who accomplished both two-time stages assessments were included. The heterogeneous patterns of depression and anxiety symptoms assessed by latent profile analysis (LPA) were used to predict heterogeneity patterns of depression and anxiety symptoms by early attained variables. RESULTS: A three-class solution characterized mild depression/mild anxiety (64.3%), moderate depression/moderate anxiety (25.9%), and high depression/high anxiety (9.8%) parallel patterns was the most suitable model in our research. Demographic characteristics, earthquake-related exposures, sleep, and somatic symptoms were variables that can be used to predict the parallel profiles. CONCLUSIONS: Detection of heterogeneity patterns, especially for youth survivors at high risk, based on the self-reported measurement attained at the early stage, is feasible. Our study may promote operational strategies by enabling targeted intervention.

Predicting Psychological State Among Chinese Undergraduate Students in the COVID-19 Epidemic: A Longitudinal Study Using a Machine Learning.

BACKGROUND: The outbreak of the 2019 novel coronavirus disease (COVID-19) not only caused physical abnormalities, but also caused psychological distress, especially for undergraduate students who are facing the pressure of academic study and work. We aimed to explore the prevalence rate of probable anxiety and probable insomnia and to find the risk factors among a longitudinal study of undergraduate students using the approach of machine learning. METHODS: The baseline data (T1) were collected from freshmen who underwent psychological evaluation at two months after entering the university. At T2 stage (February 10th to 13th, 2020), we used a convenience cluster sampling to assess psychological state (probable anxiety was assessed by general anxiety disorder-7 and probable insomnia was assessed by insomnia severity index-7) based on a web survey. We integrated information attained at T1 stage to predict probable anxiety and probable insomnia at T2 stage using a machine learning algorithm (XGBoost). RESULTS: Finally, we included 2009 students (response rate: 80.36%). The prevalence rate of probable anxiety and probable insomnia was 12.49% and 16.87%, respectively. The XGBoost algorithm predicted 1954 out of 2009 students (translated into 97.3% accuracy) and 1932 out of 2009 students (translated into 96.2% accuracy) who suffered anxiety and insomnia symptoms, respectively. The most relevant variables in predicting probable anxiety included romantic relationship, suicidal ideation, sleep symptoms, and a history of anxiety symptoms. The most relevant variables in predicting probable insomnia included aggression, psychotic experiences, suicidal ideation, and romantic relationship. CONCLUSION: Risks for probable anxiety and probable insomnia among undergraduate students can be identified at an individual level by baseline data. Thus, timely psychological intervention for anxiety and insomnia symptoms among undergraduate students is needed considering the above factors.

Identifying Suicidal Ideation Among Chinese Patients with Major Depressive Disorder: Evidence from a Real-World Hospital-Based Study in China.

BACKGROUND: A growing body of research suggests that major depressive disorder (MDD) is one of the most common psychiatric conditions associated with suicide ideation (SI). However, how a combination of easily accessible variables built a utility clinically model to estimate the probability of an individual patient with SI via machine learning is limited. METHODS: We used the electronic medical record database from a hospital located in western China. A total of 1916 Chinese patients with MDD were included. Easily accessible data (demographic, clinical, and biological variables) were collected at admission (on the first day of admission) and were used to distinguish SI with MDD from non-SI using a machine learning algorithm (neural network). RESULTS: The neural network algorithm distinguished 1356 out of 1916 patients translating into 70.08% accuracy (70.68% sensitivity and 67.09% specificity) and an area under the curve (AUC) of 0.76. The most relevant predictor variables in identifying SI from non-SI included free thyroxine (FT4), the total scores of Hamilton Depression Scale (HAMD), vocational status, and free triiodothyronine (FT3). CONCLUSION: Risk for SI among patients with MDD can be identified at an individual subject level by integrating demographic, clinical, and biological variables as possible as early during hospitalization (at admission).