Evaluation of a Nondepleted Plasma Multiprotein-Based Model for Discriminating Psychiatric Disorders Using Multiple Reaction Monitoring-Mass Spectrometry: Proof-of-Concept Study.

Psychiatric evaluation relies on subjective symptoms and behavioral observation, which sometimes leads to misdiagnosis. Despite previous efforts to utilize plasma proteins as objective markers, the depletion method is time-consuming. Therefore, this study aimed to enhance previous quantification methods and construct objective discriminative models for major psychiatric disorders using nondepleted plasma. Multiple reaction monitoring-mass spectrometry (MRM-MS) assays for quantifying 453 peptides in nondepleted plasma from 132 individuals [35 major depressive disorder (MDD), 47 bipolar disorder (BD), 23 schizophrenia (SCZ) patients, and 27 healthy controls (HC)] were developed. Pairwise discriminative models for MDD, BD, and SCZ, and a discriminative model between patients and HC were constructed by machine learning approaches. In addition, the proteins from nondepleted plasma-based discriminative models were compared with previously developed depleted plasma-based discriminative models. Discriminative models for MDD versus BD, BD versus SCZ, MDD versus SCZ, and patients versus HC were constructed with 11 to 13 proteins and showed reasonable performances (AUROC = 0.890-0.955). Most of the shared proteins between nondepleted and depleted plasma models had consistent directions of expression levels and were associated with neural signaling, inflammatory, and lipid metabolism pathways. These results suggest that multiprotein markers from nondepleted plasma have a potential role in psychiatric evaluation.

A comparison of disease burden and the government budget for mental health in Korea.

BACKGROUND: The lifetime prevalence of mental disorders in South Korea was 25.4% in 2016. The Act on Mental Health enabled the expansion of psychiatric facilities; however, resources were allocated without considering the population structure or the characteristics of mental health problems. AIMS: This paper investigates the status and trends of disease burden and the government budget for Korean mental health. METHODS: The burden of mental and behavioral disorders (MBDs) was measured using the incidence-based disability-adjusted life years (DALYs), and the mental health budget data was from the Ministry of Health and Welfare of South Korea. RESULTS: We estimated that the disease burden of MBDs accounted for 6.4% of the total disease burden, ranking as the seventh leading cause of Korean DALYs. The mental health budget in South Korea was USD 253.4 million in 2019 (USD 90.3 million from the general account, USD 65.8 million from the National Health Promotion Fund, and USD 97.3 million from the special account for the national mental hospitals). CONCLUSIONS: Challenges are created by the MBD burden on the Korean healthcare system, and the budget is insufficient to address this disease burden, suggesting that resource allocation systems should be improved.

Quantitative Proteomic Approach for Discriminating Major Depressive Disorder and Bipolar Disorder by Multiple Reaction Monitoring-Mass Spectrometry.

Because major depressive disorder (MDD) and bipolar disorder (BD) manifest with similar symptoms, misdiagnosis is a persistent issue, necessitating their differentiation through objective methods. This study was aimed to differentiate between these disorders using a targeted proteomic approach. Multiple reaction monitoring-mass spectrometry (MRM-MS) analysis was performed to quantify protein targets regarding the two disorders in plasma samples of 270 individuals (90 MDD, 90 BD, and 90 healthy controls (HCs)). In the training set (72 MDD and 72 BD), a generalizable model comprising nine proteins was developed. The model was evaluated in the test set (18 MDD and 18 BD). The model demonstrated a good performance (area under the curve (AUC) >0.8) in discriminating MDD from BD in the training (AUC = 0.84) and test sets (AUC = 0.81) and in distinguishing MDD from BD without current hypomanic/manic/mixed symptoms (90 MDD and 75 BD) (AUC = 0.83). Subsequently, the model demonstrated excellent performance for drug-free MDD versus BD (11 MDD and 10 BD) (AUC = 0.96) and good performance for MDD versus HC (AUC = 0.87) and BD versus HC (AUC = 0.86). Furthermore, the nine proteins were associated with neuro, oxidative/nitrosative stress, and immunity/inflammation-related biological functions. This proof-of-concept study introduces a potential model for distinguishing between the two disorders.

Suicide rates across income levels: Retrospective cohort data on 1 million participants collected between 2003 and 2013 in South Korea.

BACKGROUND: The relation of income and socioeconomic status with suicide rates remains unclear. Most previous studies have focused on the relationship between suicide rates and macroeconomic factors (e.g., economic growth rate). Therefore, we aimed to identify the relationship between individuals' socioeconomic position and suicide risk. METHODS: We analyzed suicide mortality rates across socioeconomic positions to identify potential trends using observational data on suicide mortality collected between January 2003 and December 2013 from 1,025,340 national health insurance enrollees. We followed the subjects for 123.5 months on average. Socioeconomic position was estimated using insurance premium levels. To examine the hazard ratios of suicide mortality in various socioeconomic positions, we used Cox proportional hazard models. RESULTS: We found that the hazard ratios of suicide showed an increasing trend as socioeconomic position decreased. After adjusting for gender, age, geographic location, and disability level, Medicaid recipients had the highest suicide hazard ratio (2.28; 95% CI, 1.87-2.77). Among the Medicaid recipients, men had higher hazard ratios than women (2.79; 95% CI, 2.17-3.59 vs. 1.71; 95% CI, 1.25-2.34). Hazard ratios also varied across age groups. The highest hazard ratio was found in the 40-59-year-old group (3.19; 95% CI, 2.31-4.43), whereas the lowest ratio was found in those 60 years and older (1.44; 95% CI, 1.09-1.87). CONCLUSIONS: Our results illuminate the relationship between socioeconomic position and suicide rates and can be used to design and implement future policies on suicide prevention.

Neurobiological findings related to Internet use disorders.

In the last 10 years, numerous neurobiological studies have been conducted on Internet addiction or Internet use disorder. Various neurobiological research methods - such as magnetic resonance imaging; nuclear imaging modalities, including positron emission tomography and single photon emission computed tomography; molecular genetics; and neurophysiologic methods - have made it possible to discover structural or functional impairments in the brains of individuals with Internet use disorder. Specifically, Internet use disorder is associated with structural or functional impairment in the orbitofrontal cortex, dorsolateral prefrontal cortex, anterior cingulate cortex, and posterior cingulate cortex. These regions are associated with the processing of reward, motivation, memory, and cognitive control. Early neurobiological research results in this area indicated that Internet use disorder shares many similarities with substance use disorders, including, to a certain extent, a shared pathophysiology. However, recent studies suggest that differences in biological and psychological markers exist between Internet use disorder and substance use disorders. Further research is required for a better understanding of the pathophysiology of Internet use disorder.

International comparison of death place for suicide; a population-level eight country death certificate study.

PURPOSE: The places of death for people who died of suicide were compared across eight countries and socio-demographic factors associated with home suicide deaths identified. METHODS: Death certificate data were analyzed; using multivariable binary logistic regression to determine associations. RESULTS: National suicide death rates ranged from 1.4 % (Mexico) to 6.4 % (South Korea). The proportion of suicide deaths occurring at home was high, ranging from 29.9 % (South Korea) to 65.8 % (Belgium). Being older, female, widowed/separated, highly educated and living in an urban area were risk factors for home suicide. CONCLUSIONS: Home suicide deaths need specific attention in prevention programs.

Comparative study of the effects of bupropion and escitalopram on Internet gaming disorder.

AIM: We compared the efficacy of bupropion and escitalopram treatments in Internet gaming disorder (IGD) patients. METHODS: We recruited 119 adolescents and adults with IGD. We treated these participants for 6 weeks in three groups as follows: 44 participants were treated with bupropion SR (bupropion group), 42 participants were treated with escitalopram (escitalopram group), and 33 patients without any medication were observed in the community (observation group). At baseline and at the 6-week follow-up visit, all subjects were evaluated using the Clinical Global Impression-Severity Scale, the Young Internet Addiction Scale, the Beck Depression Inventory, the ADHD Rating Scale, and the Behavioral Inhibition and Activation Scales. RESULTS: Both the escitalopram group and the bupropion group showed improvement on all clinical symptom scales after 6 weeks of treatment compared to the observation group. Additionally, the bupropion group showed greater improvement on scores for the Clinical Global Impression-Severity Scale, the Young Internet Addiction Scale, the ADHD Rating Scale, and the Behavioral Inhibition Scale than the escitalopram group. CONCLUSION: Both bupropion and escitalopram were effective in treating and managing IGD symptoms. Moreover, bupropion appeared to be more effective than escitalopram in improving attention and impulsivity in IGD patients. In addition, attention and impulsivity seem to be important for the management of IGD.

Erratum: A U-shaped Association between Body Mass Index and Psychological Distress on the Multiphasic Personality Inventory: Retrospective Cross-sectional Analysis of 19-year-old Men in Korea.

[This corrects the article on p. 793 in vol. 30, PMID: 26028934.].

A U-shaped Association between Body Mass Index and Psychological Distress on the Multiphasic Personality Inventory: Retrospective Cross-sectional Analysis of 19-year-old Men in Korea.

Objective personality tests, such as the Minnesota Multiphasic Personality Inventory (MMPI), might be more sensitive to reflect subclinical personality and be more state-dependent in an individual's lifetime, so they are good scales to predict the psychological distress regarding certain states. The aim of this study was to identify the specific pattern between body mass index (BMI) and psychological distress using the objective personality test. For this study, we investigated BMI and the Korean Military Multiphasic Personality Inventory (MPI). A retrospective cross-sectional study was conducted with 19-yr-old examinees who were admitted to the Military Manpower Administration in Korea from February 2007 to January 2010. Of 1,088,107 examinees, we enrolled 771,408 subjects who were psychologically apparent healthy possible-military-service groups. Afterwards, we reviewed and analyzed directly measured BMI and MPI results. In terms of the validity scales, the faking-good subscale showed an inverted U-shaped association, and faking-bad and infrequency subscales showed a U-shaped association with BMI groups. In terms of the neurosis scales, all clinical subscales (anxiety, depression, somatization, and personality disorder) also showed a U-shaped association with BMI groups. For the psychopath scales, the schizophrenia subscale showed a U-shaped association, and the paranoia subscale showed a near-positive correlation with BMI. In conclusion, a specific U-shaped pattern was observed between BMI and the MPI in 19-yr-old men in Korea. Underweight and obesity are related to psychological distress, so supportive advice and education are needed to them.

The relationship between brain-derived neurotrophic factor and cognitive functions in alcohol-dependent patients: a preliminary study.

BACKGROUND: As a neurotoxic substance, alcohol can induce neurodegenesis in the brain. Alcohol-dependent patients' cognitive functioning can be affected by chronic alcohol use. In addition, brain-derived neurotrophic factor (BDNF) is known to reflect the status of neuroadaptive changes. The purpose of this study was to investigate the relationship between cognitive functions and BDNF in alcohol-dependent patients. METHODS: The subjects were 39 alcohol-dependent patients. BDNF was measured using an enzyme-linked immunosorbent assay kit. We examined clinical features and administered the Korean version of Alcohol Dependence Scale. We also used the Consortium to Establish a Registry for Alzheimer's Disease (CERAD) to measure cognitive functioning. Then, we determined the relationships between BDNF and various parts of the CERAD. RESULTS: The performance of alcohol-dependent patients proved stable in most parts of the CERAD. Within the different parts of the CERAD, only Trail Making Test B correlated with BDNF. Trail Making Test specifically assesses executive functions. CONCLUSIONS: BDNF might play an important role in the detection of neurocognitive function among individuals with alcohol dependence.

Efficacy of disulfiram for the treatment of alcohol dependence assessed with a multicenter randomized controlled trial.

BACKGROUND: The efficacy of disulfiram in preventing an alcoholic relapse has been controversial. The aim of our study was to assess the efficacy of supervised disulfiram for the treatment of alcohol dependence with a multi-institutional study in Japan. METHODS: In a single-blinded, randomized placebo-controlled study, we recruited 109 patients diagnosed with alcohol dependence under ICD-10 criteria. The patients were randomly allocated to 4 treatment groups, depending on whether they took disulfiram (200 mg daily) or a placebo or whether they received adjunctive therapy consisting of mailed letters which delineated and emphasized the harmful effect of alcohol and the management of alcohol craving. The proportion of abstinence among the 4 groups at 26 weeks after discharge was the primary outcome measure. The proportion of abstinence was compared with the severity of alcohol dependence and craving. Furthermore, we examined the proportion of abstinence in patients with inactive aldehyde dehydrogenase-2 (ALDH2). RESULTS: There were no significant differences among the 4 groups in terms of abstinent patients or study dropouts. The ratio of abstinence was not related to the severity of alcohol dependence or the degree of alcohol craving. Patients with inactive ALDH2 significantly sustained abstinence with the use of disulfiram (p = 0.044). CONCLUSIONS: Supervised oral disulfiram use followed by intervention via letters seems to be ineffective for increasing abstinence. Further studies are necessary to prove the efficacy of disulfiram for the pharmacological treatment of alcohol dependence. We indicated the effectiveness of disulfiram for the maintenance of abstinence in patients with inactive ALDH2.

Sociodemographic factors associated with the use of mental health services in depressed adults: results from the Korea National Health and Nutrition Examination Survey (KNHANES).

BACKGROUND: The aims of this study were to determine the utilization of mental health services (MHSs) by adults with a depressive mood and to identify the influencing sociodemographic factors, using a nationwide representative Korean sample. METHODS: The study included 2735 subjects, aged 19 years or older, who had experienced a depressive mood continuously for over 2 weeks within the previous year, using the data from the KNHANES IV (Fourth Korea National Health and Nutrition Examination Survey), which was performed between 2007 and 2009, and involved a nationally representative sample of the Korean community population who were visited at home. A multivariate logistic regression analysis was used to estimate the adjusted odd ratios (ORs) and 95% confidence intervals (CIs) for the use of MHSs, which was defined as using healthcare institutions, consulting services, and inpatient or outpatient treatments due to mental health problems. RESULTS: MHSs had been used by 9.6% of the subjects with a depressive mood. The use of the MHSs was significantly associated with age, education level, and employment status, after adjusting for sociodemographic and health-related factors. Specifically, the OR for the nonuse of MHSs by the elderly (≥65 years) relative to subjects aged 19-34 years was 2.55 (95% CI = 1.13-5.76), subjects with a lower education level were less likely to use MHSs compared to those with a higher education level (7-9 years, OR = 2.35, 95% CI = 1.19-4.64; 10-12 years, OR = 1.66, 95% CI = 1.07-2.56; ≥13 years, reference), and the OR of unemployed relative to employed was 0.47 (95% CI = 0.32-0.67). CONCLUSIONS: Among Korean adults with a depressive mood, the elderly, those with a lower education level, and the employed are less likely to use MHSs. These findings suggest that mental health policies should be made based on the characteristics of the population in order to reduce untreated patients with depression. Greater resources and attention to identifying and treating depression in older, less educated, and employed adults are warranted.

The Prediction Model of Non-Suicidal Self-Injury in Psychiatric Patients Using Decision Tree Analysis.

PURPOSE: The prevalence rate of non-suicidal self-injury (NSSI) in the clinical population is higher than that in the community sample, necessitating the need to investigate the predicting factors of NSSI in this group. The present study aimed to develop a prediction model of NSSI among psychiatric patients in Korea. MATERIALS AND METHODS: Decision tree analysis was conducted on a sample of 224 psychiatric patients. Emotion regulation strategies (rumination, cognitive reappraisal, and expressive suppression), impulsivity, problematic alcohol use, working memory, depressive mood, and gender were included in the model as predictors of NSSI. RESULTS: Results indicated that rumination, problematic alcohol use, and working memory predicted lifetime NSSI engagement among psychiatric patients. The best predictor of lifetime NSSI engagement was rumination. Specifically, when the level of rumination was high, the level of working memory was lower, and the risk of NSSI was higher. In the case of low levels of rumination, the higher the level of problematic alcohol use, the higher the risk of NSSI. The highest prevalence of lifetime NSSI engagement was found in a subgroup of patients with high levels of rumination and low levels of working memory. CONCLUSION: The major contribution of this study is finding a combination of factors to predict the high-risk group of NSSI among psychiatric patients in Korea. This study provides evidence on the effect of rumination, working memory, and problematic alcohol use on NSSI. It is suggested that clinicians and researchers should pay more attention to emotion regulation and related vulnerabilities in preventing and treating NSSI.

Proteomic profiling in the progression of psychosis: Analysis of clinical high-risk, first episode psychosis, and healthy controls.

BACKGROUND AND HYPOTHESIS: Recent evidence has highlighted the benefits of early detection and treatment for better clinical outcomes in patients with psychosis. Biological markers of the disease have become a focal point of research. This study aimed to identify protein markers detectable in the early stages of psychosis and indicators of progression by comparing them with those of healthy controls (HC) and first episode psychosis (FEP). STUDY DESIGN: The participants comprised 28 patients in the clinical high-risk (CHR) group, 49 patients with FEP, and 61 HCs aged 15-35 years. Blood samples were collected and analyzed using multiple reaction monitoring-mass spectrometry to measure the expression of 158 peptide targets. Data were adjusted for age, sex, and use of psychotropic drugs. STUDY RESULTS: A total of 18 peptides (17 proteins) differed significantly among the groups. The protein PRDX2 was higher in the FEP group than in the CHR and HC groups and showed increased expression according to disease progression. The levels of six proteins were significantly higher in the FEP group than in the CHR group. Nine proteins differed significantly in the CHR group compared to the other groups. Sixteen proteins were significantly correlated with symptom severity. These proteins are primarily related to the coagulation cascade, inflammatory response, brain structure, and synaptic plasticity. CONCLUSIONS: Our findings suggested that peripheral protein markers reflect disease progression in patients with psychosis. Further longitudinal research is needed to confirm these findings and to identify the specific roles of these markers in the pathogenesis of schizophrenia.

Evidence-Based Guideline for the Treatment of Smoking Cessation Provided by the National Health Insurance Service in Korea.

Although major countries, such as South Korea, have developed and disseminated national smoking cessation guidelines, these efforts have been limited to developing individual societies or specialized institution-based recommendations. Therefore, evidence-based clinical guidelines are essential for developing smoking cessation interventions and promoting effective smoking cessation treatments. This guideline targets frontline clinical practitioners involved in a smoking cessation treatment support program implemented in 2015 with the support of the National Health Insurance Service. The Guideline Development Group of 10 multidisciplinary smoking cessation experts employed the Grading of Recommendations Assessment, Development, and Evaluation (GRADE)-ADOLOPMENT approach to review recent domestic and international research and guidelines and to determine evidence levels using the GRADE methodology. The guideline panel formulated six strong recommendations and one conditional recommendation regarding pharmacotherapy choices among general and special populations (mental disorders and chronic obstructive lung disease [COPD]). Strong recommendations favor varenicline rather than a nicotine patch or bupropion, using varenicline even if they are not ready to quit, using extended pharmacotherapy (>12 weeks) rather than standard treatment (8-12 weeks), or using pharmacotherapy for individuals with mental disorders or COPD. The conditional recommendation suggests combining varenicline with a nicotine patch instead of using varenicline alone. Aligned with the Korean Society of Medicine's clinical guideline development process, this is South Korea's first domestic smoking cessation treatment guideline that follows standardized guidelines. Primarily focusing on pharmacotherapy, it can serve as a foundation for comprehensive future smoking cessation clinical guidelines, encompassing broader treatment topics beyond medications.

The characteristics and clinical outcomes of a pluripotent high-risk group with the potential to develop a diverse range of psychiatric disorders.

BACKGROUND: Recent studies have indicated that clinical high risk for psychosis (CHR-P) is highly specific for psychotic disorders other than pluripotential to various serious mental illnesses. However, not all CHR-P develop psychotic disorder only, and psychosis can occur in non-psychotic disorders as well. Our prospective cohort study aims to investigate the characteristics and clinical outcomes of a pluripotent high-risk group with the potential to develop a diverse range of psychiatric disorders. METHODS: The SPRIM study is a prospective naturalistic cohort program that focuses on the early detection of those at risk of developing serious mental illness, including psychosis (CHR-P), bipolar (CHR-B), and depressive disorder (CHR-D), as well as undifferentiated risk participants (UCHR). Our study has a longitudinal design with a baseline assessment and eight follow-up evaluations at 6, 12, 18, 24, 30, 36, 42, and 48 months to determine whether participants have transitioned to psychosis or mood disorders. RESULTS: The SPRIM sample consisted of 90 CHR participants. The total cumulative incidence rate of transition was 53.3% (95% CI 32.5-77.2). CHR-P, CHR-B, CHR-D, and UCHR had cumulative incidence rates of 13.7% (95% CI 3.4-46.4), 52.4% (95% CI 28.1-81.1), 66.7% (95% CI 24.6-98.6) and 54.3% (95% CI 20.5-93.1), respectively. The cumulative incidence of psychosis, bipolar, and depressive disorder among all participants was 3.3% (95% CI 0.8-11.5), 45.7% (95% CI 24.4-73.6), and 11.2% (95% CI 3.1-36.2), respectively. CONCLUSIONS: Our study suggests that the concept of pluripotent high-risk for a diverse range of psychiatric disorders is an integrative approach to examining transdiagnostic interactions between illnesses with a high transition rate and minimizing stigma.

Lifestyle factors and suicide risk: A nationwide population-based study.

OBJECTIVE: To examine the association between lifestyle factors and suicide-related outcomes. METHODS: Data from the Korea National Health and Nutrition Examination Survey in 2015 and 2017 were used. We identified lifestyle factors including smoking, physical activity, alcohol intake, and the Healthy Eating Index (HEI) in 9529 eligible subjects. We analyzed the risk of suicidal ideation, plan, attempt, and the composite of suicidality within the past year according to the lifestyle factors. In addition, stratified analyses were performed according to the diagnostic history of depression. RESULTS: Compared to never-smokers, ex-smokers and current smokers showed an increased risk of suicidal ideation, suicidal plan, and the composite of suicidality. Compared to the low HEI group, those with the highest HEI showed a decreased risk of suicide ideation and the composite of suicidality. Among those with depression, the increased risk of suicide-related outcomes from smoking was more prominent and heavy drinking was associated with an increased risk of suicide attempts. CONCLUSION: Smoking and heavy drinking were associated with an increased risk of suicide-related outcomes, but high-quality diets and non-heavy drinking were associated with a decreased risk. In people with depression, the associations between lifestyle factors and suicide-related outcomes were stronger than in those without depression.

Classification of Preschoolers with Low-Functioning Autism Spectrum Disorder Using Multimodal MRI Data.

Multimodal imaging studies targeting preschoolers and low-functioning autism spectrum disorder (ASD) patients are scarce. We applied machine learning classifiers to parameters from T1-weighted MRI and DTI data of 58 children with ASD (age 3-6 years) and 48 typically developing controls (TDC). Classification performance reached an accuracy, sensitivity, and specificity of 88.8%, 93.0%, and 83.8%, respectively. The most prominent features were the cortical thickness of the right inferior occipital gyrus, mean diffusivity of the middle cerebellar peduncle, and nodal efficiency of the left posterior cingulate gyrus. Machine learning-based analysis of MRI data was useful in distinguishing low-functioning ASD preschoolers from TDCs. Combination of T1 and DTI improved classification accuracy about 10%, and large-scale multi-modal MRI studies are warranted for external validation.

Latent class analysis of psychotic-affective disorders with data-driven plasma proteomics.

Data-driven approaches to subtype transdiagnostic samples are important for understanding heterogeneity within disorders and overlap between disorders. Thus, this study was conducted to determine whether plasma proteomics-based clustering could subtype patients with transdiagnostic psychotic-affective disorder diagnoses. The study population included 504 patients with schizophrenia, bipolar disorder, and major depressive disorder and 160 healthy controls, aged 19 to 65 years. Multiple reaction monitoring was performed using plasma samples from each individual. Pathologic peptides were determined by linear regression between patients and healthy controls. Latent class analysis was conducted in patients after peptide values were stratified by sex and divided into tertile values. Significant demographic and clinical characteristics were determined for the latent clusters. The latent class analysis was repeated when healthy controls were included. Twelve peptides were significantly different between the patients and healthy controls after controlling for significant covariates. Latent class analysis based on these peptides after stratification by sex revealed two distinct classes of patients. The negative symptom factor of the Brief Psychiatric Rating Scale was significantly different between the classes (t = -2.070, p = 0.039). When healthy controls were included, two latent classes were identified, and the negative symptom factor of the Brief Psychiatric Rating Scale was still significant (t = -2.372, p = 0.018). In conclusion, negative symptoms should be considered a significant biological aspect for understanding the heterogeneity and overlap of psychotic-affective disorders.

Network analysis of plasma proteomes in affective disorders.

The conventional differentiation of affective disorders into major depressive disorder (MDD) and bipolar disorder (BD) has insufficient biological evidence. Utilizing multiple proteins quantified in plasma may provide critical insight into these limitations. In this study, the plasma proteomes of 299 patients with MDD or BD (aged 19-65 years old) were quantified using multiple reaction monitoring. Based on 420 protein expression levels, a weighted correlation network analysis was performed. Significant clinical traits with protein modules were determined using correlation analysis. Top hub proteins were determined using intermodular connectivity, and significant functional pathways were identified. Weighted correlation network analysis revealed six protein modules. The eigenprotein of a protein module with 68 proteins, including complement components as hub proteins, was associated with the total Childhood Trauma Questionnaire score (r = -0.15, p = 0.009). Another eigenprotein of a protein module of 100 proteins, including apolipoproteins as hub proteins, was associated with the overeating item of the Symptom Checklist-90-Revised (r = 0.16, p = 0.006). Functional analysis revealed immune responses and lipid metabolism as significant pathways for each module, respectively. No significant protein module was associated with the differentiation between MDD and BD. In conclusion, childhood trauma and overeating symptoms were significantly associated with plasma protein networks and should be considered important endophenotypes in affective disorders.