The Association of Genetic Predisposition to Depressive Symptoms with Non-suicidal and Suicidal Self-Injuries

Correlation between polygenic risk scores of depression and cortical morphology networks

BACKGROUND

Cortical morphometry is an intermediate phenotype that is closely related to the genetics and onset of major depressive disorder (MDD), and cortical morphometric networks are considered more relevant to disease mechanisms than brain regions. We sought to investigate changes in cortical morphometric networks in MDD and their relationship with genetic risk in healthy controls.

METHODS

We recruited healthy controls and patients with MDD of Han Chinese descent. Participants underwent DNA extraction and magnetic resonance imaging, including T 1-weighted and diffusion tensor imaging. We calculated polygenic risk scores (PRS) based on previous summary statistics from a genome-wide association study of the Chinese Han population. We used a novel method based on Kullback-Leibler divergence to construct the morphometric inverse divergence (MIND) network, and we included the classic morphometric similarity network (MSN) as a complementary approach. Considering the relationship between cortical and white matter networks, we also constructed a streamlined density network. We conducted group comparison and PRS correlation analyses at both the regional and network level.

RESULTS

We included 130 healthy controls and 195 patients with MDD. The results indicated enhanced connectivity in the MIND network among patients with MDD and people with high genetic risk, particularly in the somatomotor (SMN) and default mode networks (DMN). We did not observe significant findings in the MSN. The white matter network showed disruption among people with high genetic risk, also primarily in the SMN and DMN. The MIND network outperformed the MSN network in distinguishing MDD status.

LIMITATIONS

Our study was cross-sectional and could not explore the causal relationships between cortical morphological changes, white matter connectivity, and disease states. Some patients had received antidepressant treatment, which may have influenced brain morphology and white matter network structure.

CONCLUSION

The genetic mechanisms of depression may be related to white matter disintegration, which could also be associated with decoupling of the SMN and DMN. These findings provide new insights into the genetic mechanisms and potential biomarkers of MDD.

Non-suicidal self-injury in Chinese population: a scoping review of prevalence, method, risk factors and preventive interventions

Non-suicidal self-injury behavior (NSSI) is a serious public health concern that requires immediate attention. Despite the high prevalence of NSSI among the Chinese population, there is a significant gap in research on the comprehensive picture of this field. Therefore, a scoping review was conducted to investigate the prevalence, methods, risk factors, and preventive intervention programs related to NSSI in China. The review found that the estimated lifetime prevalence of NSSI among Chinese youth population is alarmingly high at 24.7% (N = 1,088,433). Common methods of NSSI include scratching, hitting, and biting. Additionally, the review synthesized 249 risk factors based on the biopsychosocial-ecological framework, highlighting the urgent need for intervention. However, only 12 empirical studies focus on NSSI prevention or intervention programs were included. These findings underscore the necessity for more clinical practices and larger studies to identify effective interventions and ultimately alleviate the burden of NSSI on the Chinese population.

Funding

This review was supported by Humanity and Social Science Youth foundation of Ministry of Education (22YJCZH018), Science and Technology Innovation 2030 (STI2030-Major Projects:2021ZD0200702), National Natural Science Foundation of China (81825009), and Shuimu Tsinghua Scholar. No funding agencies were involved in the data collection, data analysis, and writing of this paper.

Risk factors, theoretical models, and biological mechanisms of nonsuicidal self-injury: a brief review

Nonsuicidal self-injury (NSSI) refers to the direct, deliberate infliction of harm to one's body tissue without the intention to die. The prevalence of NSSI has increased significantly globally in recent years and has become an important public health problem affecting the health of people, especially adolescents. The occurrence of NSSI in adolescents is the result of the interaction of different factors. Many scholars have proposed various theoretical models to explain the mechanism of NSSI behavior based on previous research on the influencing factors of NSSI. Moreover, advances have been made in genetic and neuroimaging mechanisms related to NSSI. Understanding the genetic and neuroimaging mechanisms of NSSI is important for both describing and treating the disorder. This literature review discusses the progress made on the risk factors, theoretical models, and biological mechanisms of NSSI.

Suicide Risk in Military Personnel during the COVID-19 Health Emergency in a Peruvian Region: A Cross-Sectional Study

Military personnel represent a frontline group exposed to multiple stressors. These factors have increased during the COVID-19 pandemic, predisposing to the development of suicidal risk (SR). Given the few studies conducted in this population, we evaluated the prevalence of SR and its associated factors during the health emergency. A cross-sectional survey study was conducted in person among 514 participants in Lambayeque, Peru in 2021. The outcome was SR, and the exposures were depression (PHQ-9), anxiety (GAD-7), PTSD (PCL-C), and other sociodemographic variables. The prevalence of SR was 14.0% (95% CI: 11.12-17.31%) and was significantly higher in people with a family history of mental health (PR: 2.16; 95% CI: 1.13-4.15) and in those with moderate clinical insomnia (PR: 2.21; 95% CI: 1.19-4.12). Military personnel with high resilience had a lower prevalence of SR (PR: 0.54, CI: 0.31-0.95). Anxiety was associated with a higher prevalence of SR (PR: 3.27; 95% CI: 1.76-6.10). Our findings show that at least 1 out of 10 military personnel are at risk of suicide. Special attention should be paid to the associated factors to develop interventions and reverse their consequences. These results may be useful in policy implementation and general statistics of SR in the local and regional context.

Female veterinarians' experiences with human clients: the link to burnout and depression

Purpose

Previous research studies have noted that veterinarians are up to four times more likely to die by suicide than the general population. Studies have indicated possible catalysts for this increased risk, including exposure to euthanasia, depression, burnout, compassion fatigue, occupational stress, work–life imbalance and anxiety. With female veterinarians reporting higher rates of mental health issues and the fact that the ratio of female to male veterinarians is almost 2:1, the study focused on the female veterinarian population. Few research studies have been conducted to examine stressors directly related to human factors. The present study aims to examine the path to depression and burnout as it relates to positive versus negative interactions with human clients (owners of animal patients).

Design/methodology/approach

The study recruited 222 female veterinarians online (average age = 36.89). The participants completed three scales measuring (1) burnout; (2) depression, anxiety and stress; and (3) positive and negative experiences with human clients.

Findings

Using the structural equation modeling (SEM), the results showed contrasting patterns of positive versus negative client-related experience in relation to burnout and depression. Positive client experience showed a direct path to the lower levels of depression and client-related burnout while negative client experience revealed a non-direct path to depression but a direct path to more specific burnout such as client-related and work-related burnout.

Originality/value

Results of the study offered insight into the unique contribution of client-related experience in burnout and depression as positive versus negative client experience took on differential paths to depression and burnout.

Classification of suicidal thoughts and behaviour in children: results from penalised logistic regression analyses in the Adolescent Brain Cognitive Development study

BACKGROUND

Despite efforts to predict suicide risk in children, the ability to reliably identify who will engage in suicide thoughts or behaviours has remained unsuccessful.

AIMS

We apply a novel machine-learning approach and examine whether children with suicide thoughts or behaviours could be differentiated from children without suicide thoughts or behaviours based on a combination of traditional (sociodemographic, physical health, social-environmental, clinical psychiatric) risk factors, but also more novel risk factors (cognitive, neuroimaging and genetic characteristics).

METHOD

The study included 5885 unrelated children (50% female, 67% White, 9-11 years of age) from the Adolescent Brain Cognitive Development (ABCD) study. We performed penalised logistic regression analysis to distinguish between: (a) children with current or past suicide thoughts or behaviours; (b) children with a mental illness but no suicide thoughts or behaviours (clinical controls); and (c) healthy control children (no suicide thoughts or behaviours and no history of mental illness). The model was subsequently validated with data from seven independent sites involved in the ABCD study (n = 1712).

RESULTS

Our results showed that we were able to distinguish the suicide thoughts or behaviours group from healthy controls (area under the receiver operating characteristics curve: 0.80 child-report, 0.81 for parent-report) and clinical controls (0.71 child-report and 0.76-0.77 parent-report). However, we could not distinguish children with suicidal ideation from those who attempted suicide (AUROC: 0.55-0.58 child-report; 0.49-0.53 parent-report). The factors that differentiated the suicide thoughts or behaviours group from the clinical control group included family conflict, prodromal psychosis symptoms, impulsivity, depression severity and history of mental health treatment.

CONCLUSIONS

This work highlights that mostly clinical psychiatric factors were able to distinguish children with suicide thoughts or behaviours from children without suicide thoughts or behaviours. Future research is needed to determine if these variables prospectively predict subsequent suicidal behaviour.

Suicidal ideation and planning among Mexican adolescents are associated with depression polygenic risk scores

Suicide is a major public health problem in Mexico and around the world. Genetic predisposition for major depressive disorder (MDD) has been associated with increased risk for suicidal behaviors (SB) in populations of European ancestry (EA). Here, we examine whether MDD polygenic risk scores (MDD PRS), derived from a genome-wide association study involving EA individuals, predict SB, including ideation, planning, and attempt, among Mexican youth using a longitudinal design. At baseline, participants (N = 1,128, 12-17 years, 55% women) were interviewed and genotyped as part of a general population survey on adolescent mental health. Eight years later, they were recontacted for a follow up visit (N = 437, 20-25 years, 63% women). At both assessments, individuals reported on their engagement in SB within the past year. MDD PRS were significantly positively associated with SB, particularly suicide ideation and planning during adolescence, accounting for ~4-5% of the variance in these outcomes. In contrast, associations between MDD PRS and SB during young adulthood did not reach statistical significance. Our results suggest that increased genetic liability for depression increased risk for SB, particularly during adolescence, expanding our knowledge of the genetic underpinnings of SB.

Genetic propensity for risky behavior and depression and risk of lifetime suicide attempt among urban African Americans in adolescence and young adulthood

Suicide attempts (SA) among African Americans have increased at a greater rate than any other racial/ethnic group. Research in European ancestry populations has indicated that SA are genetically influenced; however, less is known about the genetic contributors that underpin SA among African Americans. We examined whether genetic propensity for depression and risky behaviors (assessed via polygenic risk scores; PRS) independently and jointly are associated with SA among urban, African Americans and whether sex differences exist in these relations. Participants (N = 1,157, 45.0% male) were originally recruited as part of two first grade universal school-based prevention trials. Participants reported in adolescence and young adulthood on whether they ever attempted suicide in their life. Depression and risky behaviors PRS were created based on large-scale genome-wide association studies conducted by Howard et al. (2019) and Karlson Línner et al. (2019), respectively. There was a significant interaction between the risky behavior PRS and depression PRS such that the combination of high risky behavior polygenic risk and low/moderate polygenic risk for depression was associated with greater risk for lifetime SA among the whole sample and African American males specifically. In addition, the risky behavior PRS was significantly positively associated with lifetime SA among African American males. These findings provide preliminary evidence regarding the importance of examining risky behavior and depression polygenic risk in relation to SA among African Americans, though replication of our findings in other African American samples is needed.

Depression, Non-Suicidal Self-Injury, and Suicidality in Adolescents: Common and Distinct Precursors, Correlates, and Outcomes

Depression, non-suicidal self-injury (NSSI), and suicidal thoughts and behaviors (STB) often emerge during adolescence. Despite considerable overlap in clinical presentation, risk factors, and implicated neurobiology, there is also evidence for divergence in terms of precursors, correlates, and outcomes. The complex interrelationships amongst these three clinical domains require considering both shared and divergent patterns of risk for depression, NSSI, and STB; a clearer understanding of these developmental trajectories will be needed to guide optimization and tailoring of early interventions.

Children and Adolescents' Psychological Well-Being Became Worse in Heavily Hit Chinese Provinces during the COVID-19 Epidemic

In light of the novel coronavirus's (COVID-19's) threat to public health worldwide, we sought to elucidate COVID-19's impacts on the mental health of children and adolescents in China. Through online self-report questionnaires, we aimed to discover the psychological effects of the pandemic and its associated risk factors for developing mental health symptoms in young people. We disseminated a mental health survey through online social media, WeChat, and QQ in the five Chinese provinces with the most confirmed cases of COVID-19 during the late stage of the country-wide lockdown. We used a self-made questionnaire that queried children and adolescents aged 6 to 18 on demographic information, psychological status, and other lifestyle and COVID-related variables. A total of 17,740 children and adolescents with valid survey data participated in the study. 10,022 (56.5%), 11,611 (65.5%), 10,697 (60.3%), 6868 (38.7%), and 6225 (35.1%) participants presented, respectively, more depressive, anxious, compulsive, inattentive, and sleep-related problems compared to before the outbreak of COVID-19. High school students reported a greater change in depression and anxiety than did middle school and primary school students. Despite the fact that very few children (0.1%) or their family members (0.1%) contracted the virus in this study, the psychological impact of the pandemic was clearly profound. Fathers' anxiety appeared to have the strongest influence on a children's psychological symptoms, explaining about 33% of variation in the child's overall symptoms. Other factors only explained less than 2% of the variance in symptoms once parents' anxiety was accounted for. The spread of COVID-19 significantly influenced the psychological state of children and adolescents in participants' view. It is clear that children and adolescents, particularly older adolescents, need mental health support during the pandemic. The risk factors we uncovered suggest that reducing fathers' anxiety is particularly critical to addressing young people's mental health disorders in this time.

Association of mental disorders with firearm suicides: A systematic review with meta-analyses of observational studies in the United States

In the United States (US), 61% of all suicide cases may involve firearms, and some evidence suggests that mental disorders may play a role in suicide by firearm. We performed the first systematic review and meta-analyses to investigate: (i) whether mental disorders are associated with suicide by firearm, and (ii) whether the risk of using a firearm compared with alternative means is associated with higher levels of suicide in individuals with a mental disorder METHODS AND FINDINGS: We searched twelve databases from inception to the 24th of May 2020. We retrieved 22 observational studies conducted in the US. Random-effects meta-analyses showed individuals who had a diagnosis of a mental disorder had lower odds (odds ratios (OR)= 0.50, 95% CI: 0.36 to 0.69; I²=100 (95% CI: 87 to 100%), of dying by suicide with a firearm than those who did not have a diagnosis of a mental disorder. Secondary analysis showed that decedents who had a mental health diagnosis resulted in lower odds of dying by suicide by using firearms than using other means LIMITATIONS: Risk of bias revealed a heterogeneous and poor definition of mental disorders as well as lack of control for potential demographic confounding factors. In the meta-analyses, studies were combined in the same analytic sample as 77% of these studies did not specify the type of mental disorder CONCLUSION: While our results seem to suggest that having a mental disorder may not be consistently associated with the odds of dying by suicide using a firearm, the presence of substantial heterogeneity and high risk of bias precludes any firm conclusions.

Genetic aetiology of self-harm ideation and behaviour

Family studies have identified a heritable component to self-harm that is partially independent from comorbid psychiatric disorders. However, the genetic aetiology of broad sense (non-suicidal and suicidal) self-harm has not been characterised on the molecular level. In addition, controversy exists about the degree to which suicidal and non-suicidal self-harm share a common genetic aetiology. In the present study, we conduct genome-wide association studies (GWAS) on lifetime self-harm ideation and self-harm behaviour (i.e. any lifetime self-harm act regardless of suicidal intent) using data from the UK Biobank (n > 156,000). We also perform genome wide gene-based tests and characterize the SNP heritability and genetic correlations between these traits. Finally, we test whether polygenic risk scores (PRS) for self-harm ideation and self-harm behaviour predict suicide attempt, suicide thoughts and non-suicidal self-harm (NSSH) in an independent target sample of 8,703 Australian adults. Our GWAS results identified one genome-wide significant locus associated with each of the two phenotypes. SNP heritability (hsnp2) estimates were ~10%, and both traits were highly genetically correlated (LDSC rg > 0.8). Gene-based tests identified seven genes associated with self-harm ideation and four with self-harm behaviour. Furthermore, in the target sample, PRS for self-harm ideation were significantly associated with suicide thoughts and NSSH, and PRS for self-harm behaviour predicted suicide thoughts and suicide attempt. Follow up regressions identified a shared genetic aetiology between NSSH and suicide thoughts, and between suicide thoughts and suicide attempt. Evidence for shared genetic aetiology between NSSH and suicide attempt was not statistically significant.

Studying individual risk factors for self-harm in the UK Biobank: A polygenic scoring and Mendelian randomisation study

BACKGROUND

Identifying causal risk factors for self-harm is essential to inform preventive interventions. Epidemiological studies have identified risk factors associated with self-harm, but these associations can be subject to confounding. By implementing genetically informed methods to better account for confounding, this study aimed to better identify plausible causal risk factors for self-harm.

METHODS AND FINDINGS

Using summary statistics from 24 genome-wide association studies (GWASs) comprising 16,067 to 322,154 individuals, polygenic scores (PSs) were generated to index 24 possible individual risk factors for self-harm (i.e., mental health vulnerabilities, substance use, cognitive traits, personality traits, and physical traits) among a subset of UK Biobank participants (N = 125,925, 56.2% female) who completed an online mental health questionnaire in the period from 13 July 2016 to 27 July 2017. In total, 5,520 (4.4%) of these participants reported having self-harmed in their lifetime. In binomial regression models, PSs indexing 6 risk factors (major depressive disorder [MDD], attention deficit/hyperactivity disorder [ADHD], bipolar disorder, schizophrenia, alcohol dependence disorder, and lifetime cannabis use) predicted self-harm, with effect sizes ranging from odds ratio (OR) = 1.05 (95% CI 1.02 to 1.07, q = 0.008) for lifetime cannabis use to OR = 1.20 (95% CI 1.16 to 1.23, q = 1.33 × 10-35) for MDD. No systematic differences emerged between suicidal and non-suicidal self-harm. To further probe causal relationships, two-sample Mendelian randomisation (MR) analyses were conducted, with MDD, ADHD, and schizophrenia emerging as the most plausible causal risk factors for self-harm. The genetic liabilities for MDD and schizophrenia were associated with self-harm independently of diagnosis and medication. Main limitations include the lack of representativeness of the UK Biobank sample, that self-harm was self-reported, and the limited power of some of the included GWASs, potentially leading to possible type II error.

CONCLUSIONS

In addition to confirming the role of MDD, we demonstrate that ADHD and schizophrenia likely play a role in the aetiology of self-harm using multivariate genetic designs for causal inference. Among the many individual risk factors we simultaneously considered, our findings suggest that systematic detection and treatment of core psychiatric symptoms, including psychotic and impulsivity symptoms, may be beneficial among people at risk for self-harm.

Prevalence of mental disorders among elderly men: a systematic review and meta-analysis

BACKGROUND

Elderly men have been characterized as a group vulnerable to suicide, motivated by loneliness, loss of loved ones and feelings of uselessness to family members.

OBJECTIVES

To ascertain the prevalence of different mental disorders among elderly men who attempted suicide.

DESIGN AND SETTING

Systematic review of observational studies developed as a result of a partnership between two postgraduate schools (Lagarto and Uberlândia).

METHODS

An electronic search was performed in eight electronic databases, including "grey literature", in January 2019. Observational studies that assessed mental disorders among men older than 60 years who attempted suicide were eligible for inclusion.

RESULTS

Among the disorders evaluated, mood disorders had the highest prevalence (42.0%; 95% confidence interval, CI: 31.0-74.0%; I2: 0.0%; P = 0.763), followed by substance use-related disorders (41.0%; 95% CI: 8.0-74.0%; I2: 96.4; P < 0.001) and, lastly, schizophrenic disorders (5.0%; 95% CI: 0.0%-14.0%; I2: 80.3%; P = 0.024).

CONCLUSIONS

It seems that mood disorders and substance use-related disorders are quite prevalent among elderly men with mental disorders who attempted suicide. It is important to consider the role of healthcare services in making early diagnoses of mental disorders among elderly men, in order to diminish the chances of suicide attempts among them.

SYSTEMATIC REVIEW REGISTRATION

CRD42018105981.

Neuroimaging Studies of Suicidal Behavior and Non-suicidal Self-Injury in Psychiatric Patients: A Systematic Review

Background: With around 800,000 people taking their own lives every year, suicide is a growing health concern. Understanding the factors that underlie suicidality and identifying specific variables associated with increased risk is paramount for increasing our understanding of suicide etiology. Neuroimaging methods that enable the investigation of structural and functional brain markers in vivo are a promising tool in suicide research. Although a number of studies in clinical samples have been published to date, evidence about neuroimaging correlates for suicidality remains controversial. Objective: Patients with mental disorders have an increased risk for both suicidal behavior and non-suicidal self-injury. This manuscript aims to present an up-to-date overview of the literature on potential neuroimaging markers associated with SB and NSSI in clinical samples. We sought to identify consistently reported structural changes associated with suicidal symptoms within and across psychiatric disorders. Methods: A systematic literature search across four databases was performed to identify all English-language neuroimaging articles involving patients with at least one psychiatric diagnosis and at least one variable assessing SB or NSSI. We evaluated and screened evidence in these articles against a set of inclusion/exclusion criteria and categorized them by disease, adhering to the PRISMA guidelines. Results: Thirty-three original scientific articles investigating neuroimaging correlates of SB in psychiatric samples were found, but no single article focusing on NSSI alone. Associations between suicidality and regions in frontal and temporal cortex were reported by 15 and 9 studies across four disorders, respectively. Furthermore, differences in hippocampus were reported by four studies across three disorders. However, we found a significant lack of replicability (consistency in size and direction) of results across studies. Conclusions: Our systematic review revealed a lack of neuroimaging studies focusing on NSSI in clinical samples. We highlight several potential sources of bias in published studies, and conclude that future studies should implement more rigorous study designs to minimize bias risk. Despite several studies reporting associations between SB and anatomical differences in the frontal cortex, there was a lack of consistency across them. We conclude that better-powered samples, standardized neuroimaging and analytical protocols are needed to continue advancing knowledge in this field.

Effects of autozygosity and schizophrenia polygenic risk on cognitive and brain developmental trajectories

Cognitive and brain development are determined by dynamic interactions between genes and environment across the lifespan. Aside from marker-by-marker analyses of polymorphisms, biologically meaningful features of the whole genome (derived from the combined effect of individual markers) have been postulated to inform on human phenotypes including cognitive traits and their underlying biological substrate. Here, estimates of inbreeding and genetic susceptibility for schizophrenia calculated from genome-wide data-runs of homozygosity (ROH) and schizophrenia polygenic risk score (PGRS)-are analyzed in relation to cognitive abilities (n = 4183) and brain structure (n = 516) in a general-population sample of European-ancestry participants aged 8-22, from the Philadelphia Neurodevelopmental Cohort. The findings suggest that a higher ROH burden and higher schizophrenia PGRS are associated with higher intelligence. Cognition-ROH and cognition-PGRS associations obtained in this cohort may, respectively, evidence that assortative mating influences intelligence, and that individuals with high schizophrenia genetic risk who do not transition to disease status are cognitively resilient. Neuroanatomical data showed that the effects of schizophrenia PGRS on cognition could be modulated by brain structure, although larger imaging datasets are needed to accurately disentangle the underlying neural mechanisms linking IQ with both inbreeding and the genetic burden for schizophrenia.

Genetic and other risk factors for suicidal ideation and the relationship with depression

BACKGROUND

There is a genetic contribution to the risk of suicide, but sparse prior research on the genetics of suicidal ideation.

METHODS

Active and passive suicidal ideation were assessed in a Sri Lankan population-based twin registry (n = 3906 twins) and a matched non-twin sample (n = 2016). Logistic regression models were used to examine associations with socio-demographic factors, environmental exposures and psychiatric symptoms. The heritability of suicidal ideation was assessed using structural equation modelling.

RESULTS

The lifetime prevalence of any suicidal ideation was 13.0% (11.7-14.3%) for men; 21.8% (20.3-23.2%) for women, with no significant difference between twins and non-twins. Factors that predicted suicidal ideation included female gender, termination of marital relationship, low education level, urban residence, losing a parent whilst young, low standard of living and stressful life events in the preceding 12 months. Suicidal ideation was strongly associated with depression, but also with abnormal fatigue and alcohol and tobacco use. The best fitting structural equation model indicated a substantial contribution from genetic factors (57%; CI 47-66) and from non-shared environmental factors (43%; CI 34-53) in both men and women. In women this genetic component was largely mediated through depression, but in men there was a significant heritable component to suicidal ideation that was independent of depression.

CONCLUSIONS

These are the first results to show a genetic contribution to suicidal ideation that is independent of depression outside of a high-income country. These phenomena may be generalizable, because previous research highlights similarities between the aetiology of mental disorders in Sri Lanka and higher-income countries.