A multi-environments-gene interaction study of anxiety, depression and self-harm in the UK Biobank cohort

Systematic identification of the role of gut microbiota in mental disorders: a TwinsUK cohort study

Mental disorders are complex disorders influenced by multiple genetic, environmental, and biological factors. Specific microbiota imbalances seem to affect mental health status. However, the mechanisms by which microbiota disturbances impact the presence of depression, stress, anxiety, and eating disorders remain poorly understood. Currently, there are no robust biomarkers identified. We proposed a novel pyramid-layer design to accurately identify microbial/metabolomic signatures underlying mental disorders in the TwinsUK registry. Monozygotic and dizygotic twins discordant for mental disorders were screened, in a pairwise manner, for differentially abundant bacterial genera and circulating metabolites. In addition, multivariate analyses were performed, accounting for individual-level confounders. Our pyramid-layer study design allowed us to overcome the limitations of cross-sectional study designs with significant confounder effects and resulted in an association of the abundance of genus Parabacteroides with the diagnosis of mental disorders. Future research should explore the potential role of Parabacteroides as a mediator of mental health status. Our results indicate the potential role of the microbiome as a modifier in mental disorders that might contribute to the development of novel methodologies to assess personal risk and intervention strategies.

Candidate biomarkers in psychiatric disorders: state of the field

The field of psychiatry is hampered by a lack of robust, reliable and valid biomarkers that can aid in objectively diagnosing patients and providing individualized treatment recommendations. Here we review and critically evaluate the evidence for the most promising biomarkers in the psychiatric neuroscience literature for autism spectrum disorder, schizophrenia, anxiety disorders and post-traumatic stress disorder, major depression and bipolar disorder, and substance use disorders. Candidate biomarkers reviewed include various neuroimaging, genetic, molecular and peripheral assays, for the purposes of determining susceptibility or presence of illness, and predicting treatment response or safety. This review highlights a critical gap in the biomarker validation process. An enormous societal investment over the past 50 years has identified numerous candidate biomarkers. However, to date, the overwhelming majority of these measures have not been proven sufficiently reliable, valid and useful to be adopted clinically. It is time to consider whether strategic investments might break this impasse, focusing on a limited number of promising candidates to advance through a process of definitive testing for a specific indication. Some promising candidates for definitive testing include the N170 signal, an event-related brain potential measured using electroencephalography, for subgroup identification within autism spectrum disorder; striatal resting-state functional magnetic resonance imaging (fMRI) measures, such as the striatal connectivity index (SCI) and the functional striatal abnormalities (FSA) index, for prediction of treatment response in schizophrenia; error-related negativity (ERN), an electrophysiological index, for prediction of first onset of generalized anxiety disorder, and resting-state and structural brain connectomic measures for prediction of treatment response in social anxiety disorder. Alternate forms of classification may be useful for conceptualizing and testing potential biomarkers. Collaborative efforts allowing the inclusion of biosystems beyond genetics and neuroimaging are needed, and online remote acquisition of selected measures in a naturalistic setting using mobile health tools may significantly advance the field. Setting specific benchmarks for well-defined target application, along with development of appropriate funding and partnership mechanisms, would also be crucial. Finally, it should never be forgotten that, for a biomarker to be actionable, it will need to be clinically predictive at the individual level and viable in clinical settings.

Risk of repeat self-harm and suicide death following an episode of hospital self-harm presentation among adolescents and young adults

BACKGROUND

Self-harm is a critical issue affecting young people which could result in adverse outcomes including repeat episodes and suicide. In this study, we aimed to estimate the short-term and long-term risk of repeat self-harm and subsequent suicide death following self-harm presentations among adolescents and young adults.

METHODS

Using linked data from the New South Wales (NSW) Emergency Department Data Collection (EDDC), the NSW Admitted Patient Data Collection (APDC), and cause of death unit record file (COD-URF), we collected all self-harm presentations to emergency departments and/or hospitals and suicide deaths between 2012 and 2019 in NSW, Australia. We used survival analysis models to estimate the incidence of repeat self-harm and suicide by time since the index self-harm and relative risks by sex, type of hospital presentation and count of self-harm records.

RESULTS

In total, we identified 81,133 self-harm episodes among 48,547 individuals aged 10-29 years. Of 48,547 individuals who engaged in an index self-harm during the study period, 39.5 % (19,180) were aged between 15 and 19 years. The incidence of both repeat self-harm and suicide were highest in the year following the index self-harm presentation (repeat self-harm: 188.84 per 1000 person-years; suicide: 3.30 per 1000 person-years) and declined to 14.51 and 0.28 per 1000 person-years after five years. Among individuals indexed for self-harm at 15-29 years, males and those who were admitted to hospital for the index self-harm had the highest risk of both subsequent repeat self-harm and suicide death and those with 2 or more self-harm presentation records had the higher risk for subsequent suicide death.

CONCLUSION

Adolescents and young adults with self-harm presentations were at a high risk of subsequent repeat self-harm and suicide death, especially the first year after presentations. Youth-specific early intervention and long-term management should be delivered accordingly, especially for those at early adolescence .

Assessing the joint effects of mitochondrial function and human behavior on the risks of anxiety and depression

BACKGROUND

Psychiatric disorders have great health hazards and the exact pathogeny remains elusive now. We aim to explore the potential interaction effects of mitochondrial function and human behavior on the risks of anxiety and depression.

METHODS

The genome-wide association study (GWAS) data of mitochondrial function (N = 383,476-982,072) were obtained from published studies. Individual level genotype and phenotype data of anxiety, depression and behavioral factors (including drinking, smoking and physical activity) were all from the UK Biobank (N = 84,805-85,164). We first calculated the polygenic risk scores (PRS) of mitochondrial function as the instrumental variables, and then constructed linear regression analyses to systematically explore the potential interaction effects of mitochondrial function and human behavior on anxiety and depression.

RESULTS

In total samples, we observed mitochondrial heteroplasmy (MtHz) vs. Drinking (P_GAD-7 = 6.49 × 10^-3; P_PHQ-9 = 1.89 × 10^-3) was positively associated with both anxiety and depression. In males, MtHz vs. Drinking (P_Male = 3.46 × 10^-5) was positively correlated with depression. In females, blood mitochondrial DNA copy number (mtDNA-CN) vs. Drinking (P_Female = 8.63 × 10^-3) was negatively related to anxiety. Furthermore, we identified additional 6 suggestive interaction effects (P < 0.05) for anxiety and depression.

LIMITATIONS

Considering all subjects were from UK Biobank, it should be careful to extrapolate our findings to other populations with different genetic background.

CONCLUSIONS

Our results suggest the significant impacts of mitochondrial function and human behavior interactions on the development of anxiety and depression, providing new clues for clarifying the pathogenesis of anxiety and depression.

Genetics and epigenetics of self-injurious thoughts and behaviors: Systematic review of the suicide literature and methodological considerations

Suicide is a multifaceted and poorly understood clinical outcome, and there is an urgent need to advance research on its phenomenology and etiology. Epidemiological studies have demonstrated that suicidal behavior is heritable, suggesting that genetic and epigenetic information may serve as biomarkers for suicide risk. Here we systematically review the literature on genetic and epigenetic alterations observed in phenotypes across the full range of self-injurious thoughts and behaviors (SITB). We included 577 studies focused on genome-wide and epigenome-wide associations, candidate genes (SNP and methylation), noncoding RNAs, and histones. Convergence of specific genes is limited across units of analysis, although pathway-based analyses do indicate nervous system development and function and immunity/inflammation as potential underlying mechanisms of SITB. We provide suggestions for future work on the genetic and epigenetic correlates of SITB with a specific focus on measurement issues.