Metabonomic Profile and Signaling Pathway Prediction of Depression-Associated Suicidal Behavior

Global-brain functional connectivity related with trait anxiety and its association with neurotransmitters and gene expression profiles

BACKGROUND

Numerous studies have explored the neural correlates of trait anxiety, a predisposing factor for several stress-related disorders. However, the findings from previous studies are inconsistent, which might be due to the limited regions of interest (ROI). A recent approach, named global-brain functional connectivity (GBC), has been demonstrated to address the shortcomings of ROI-based analysis. Furthermore, research on the transcriptome-connectome association has provided an approach to link the microlevel transcriptome profile with the macroscale brain network. In this paper, we aim to explore the neurobiology of trait anxiety with an imaging transcriptomic approach using GBC, biological neurotransmitters, and transcriptome profiles.

METHODS

Using a sample of resting-state fMRI data, we investigated trait anxiety-related alteration in GBC. We further used behavioral analysis, spatial correlation analysis, and postmortem gene expression to separately assess the cognitive functions, neurotransmitters, and transcriptional profiles related to alteration in GBC in individuals with trait anxiety.

RESULTS

GBC values in the ventromedial prefrontal cortex and the precuneus were negatively correlated with levels of trait anxiety. This alteration was correlated with behavioral terms including social cognition, emotion, and memory. A strong association was revealed between trait anxiety-related alteration in GBC and neurotransmitters, including dopaminergic, serotonergic, GABAergic, and glutamatergic systems in the ventromedial prefrontal cortex and the precuneus. The transcriptional profiles explained the functional connectivity, with correlated genes enriched in transmembrane signaling.

LIMITATIONS

Several limitations should be taken into account in this research. For example, future research should consider using some different approaches based on dynamic or task-based functional connectivity analysis, include more neurotransmitter receptors, additional gene expression data from different samples or more genes related to other stress-related disorders. Meanwhile, it is of great significance to include a larger sample size of individuals with a diagnosis of major depression disorder or other disorders for analysis and comparison and apply stricter multiple-comparison correction and threshold settings in future research.

CONCLUSIONS

Our research employed multimodal data to investigate GBC in the context of trait anxiety and to establish its associations with neurotransmitters and transcriptome profiles. This approach may improve understanding of the neural mechanism, together with the biological and molecular genetic foundations of GBC in trait anxiety.

Exploring the relationship between distress rumination, resilience, depression, and self-injurious behaviors among Chinese college athletes infected with COVID-19: a cross-sectional study

Objectives

Distress rumination is a cause of suicidality and self-injurious behavior (SSIB) among individuals. Although previous studies have shown that distress rumination, SSIB, resilience, and depression are significantly related, the interaction mechanism remains unclear. This study aimed to evaluate resilience and depression as mediators of the relationship between distress rumination and SSIB among Chinese college athletes infected with COVID-19.

Methods

Convenience sampling was used to recruit participants from the National College Football Championship in Guangxi City, China from January to February 2023. Participants completed the Ruminative Responses Scale (RRS), a subscale of the Health-Risk Behavior Inventory (HBI), the Mental Toughness Index (MTI) and the Patient Health Questionnaire (PHQ-9). We used the PROCESS macro for SPSS to determine the mediating effect of resilience and depression between distress rumination and SSIB.

Results

A total of 350 Chinese college athletes participated in this study and completed the questionnaire survey. 289 (81.7% boys; Mage = 20.31 years, SD = 1.60) of them have been infected with COVID-19. 59.9% (n = 173) participants were from urban areas and 15.6% (n = 45) of participants have engaged in self-injurious behaviors or suicidal ideation. College athletes' distress rumination was significantly negatively correlated with resilience (r = - 0.28, p < 0.01), and was significantly positively correlated with depression (r = 0.49, p < 0.01) and SSIB (r = - 0.18, p < 0.01). Resilience was significantly negatively correlated with depression (r = - 0.35, p < 0.01) and SSIB (r = - 0.30, p < 0.01). Finally, depression was significantly positively correlated with SSIB (r = - 0.38, p < 0.01). Resilience and depression played a mediating role of the total effects of distress rumination and SSIB, respectively. Meanwhile, the chain mediating effect of resilience and depression was also significant.

Conclusion

This study found that distress rumination can directly predict SSIB, and indirectly predict SSIB through the mediating effect of resilience and depression, and the chain mediating effect of resilience-depression. Therefore, reducing the degree of distress rumination of college athletes infected by COVID-19 and improving their resilience, as well as reducing their depression may help prevent SSIB.

Comorbid anxiety and depression, depression, and anxiety in comparison in multi-ethnic community of west China: prevalence, metabolic profile, and related factors

OBJECTIVES

To identify the prevalence, lifestyle factors, chronic disease status, and assessing the metabolic profile, comparing key differences in a cohort of subjects aged at least 50 years old among depression combined anxiety, depression and anxiety in a multi-ethnic population in west China.

METHODS

A large multi-ethnic sample of 6838 participants aged 50 years old (mean age 62.4 ± 8.3 years) from West China Health and Aging Trend (WCHAT) study was analyzed. We categorized all participants into four groups: (a) comorbid anxiety and depression symptomology (CAD), (b) anxiety only, (c) depression only, or (d) neither depression nor anxiety. Different variables like anthropometry measures, life styles, chronic disease and blood test were collected. Depressive symptoms were assessed using the 15-item Geriatric Depression Scale (GDS-15). GDS-15 scores ≥5 indicate depression. Anxiety status was assessed using Generalized Anxiety Disorder (GAD-7) instrument and the scores ≥5 was considered as having anxiety. Different variables like anthropometry measures, life styles, cognitive function and chronic disease comorbidities were collected and serum parameters were tested. Multivariable logistic regression adjusted for age, sex, and ethnicity was done to compare between those with the mental outcomes and without.

RESULTS

The proportions of CAD, anxiety and depression were 9.0%, 12.8% and 10.6% respectively with ethnic diversity. The 'comorbid' group shown greater frequency of being female, having a lower educational level, higher prevalence of being single/divorced/widowed, drinking alcohol and smoking, more chronic disease profile and cognitive decline compared with individuals with only one disorder. And the metabolic profile showed differences in albumin, total protein, creatinine, uric acid, thyroid hormones in comparing CAD symptomology and the 'neither symptomology'.

CONCLUSIONS

Yi, Qiang and Uyghur ethnic groups have a higher prevalence of mental disease compared with Han in west China. And these mental disease had a distinct risk factor profile in age, sex, educational level, chronic disease and cognitive function. Vitamin D levels were lower among those with mental disease compared to those without.