Dataset Information

Plasma Metabolites Predict Severity of Depression and Suicidal Ideation in Psychiatric Patients-A Multicenter Pilot Analysis.

ABSTRACT: Evaluating the severity of depression (SOD), especially suicidal ideation (SI), is crucial in the treatment of not only patients with mood disorders but also psychiatric patients in general. SOD has been assessed on interviews such as the Hamilton Rating Scale for Depression (HAMD)-17, and/or self-administered questionnaires such as the Patient Health Questionnaire (PHQ)-9. However, these evaluation systems have relied on a person's subjective information, which sometimes lead to difficulties in clinical settings. To resolve this limitation, a more objective SOD evaluation system is needed. Herein, we collected clinical data including HAMD-17/PHQ-9 and blood plasma of psychiatric patients from three independent clinical centers. We performed metabolome analysis of blood plasma using liquid chromatography mass spectrometry (LC-MS), and 123 metabolites were detected. Interestingly, five plasma metabolites (3-hydroxybutyrate (3HB), betaine, citrate, creatinine, and gamma-aminobutyric acid (GABA)) are commonly associated with SOD in all three independent cohort sets regardless of the presence or absence of medication and diagnostic difference. In addition, we have shown several metabolites are independently associated with sub-symptoms of depression including SI. We successfully created a classification model to discriminate depressive patients with or without SI by machine learning technique. Finally, we produced a pilot algorithm to predict a grade of SI with citrate and kynurenine. The above metabolites may have strongly been associated with the underlying novel biological pathophysiology of SOD. We should explore the biological impact of these metabolites on depressive symptoms by utilizing a cross species study model with human and rodents. The present multicenter pilot study offers a potential utility for measuring blood metabolites as a novel objective tool for not only assessing SOD but also evaluating therapeutic efficacy in clinical practice. In addition, modification of these metabolites by diet and/or medications may be a novel therapeutic target for depression. To clarify these aspects, clinical trials measuring metabolites before/after interventions should be conducted. Larger cohort studies including non-clinical subjects are also warranted to clarify our pilot findings.

SUBMITTER: Setoyama D

PROVIDER: S-EPMC5161310 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature

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Plasma Metabolites Predict Severity of Depression and Suicidal Ideation in Psychiatric Patients-A Multicenter Pilot Analysis.

Setoyama Daiki D Kato Takahiro A TA Hashimoto Ryota R Kunugi Hiroshi H Hattori Kotaro K Hayakawa Kohei K Sato-Kasai Mina M Shimokawa Norihiro N Kaneko Sachie S Yoshida Sumiko S Goto Yu-Ichi YI Yasuda Yuka Y Yamamori Hidenaga H Ohgidani Masahiro M Sagata Noriaki N Miura Daisuke D Kang Dongchon D Kanba Shigenobu S

PloS one 20161216 12

Evaluating the severity of depression (SOD), especially suicidal ideation (SI), is crucial in the treatment of not only patients with mood disorders but also psychiatric patients in general. SOD has been assessed on interviews such as the Hamilton Rating Scale for Depression (HAMD)-17, and/or self-administered questionnaires such as the Patient Health Questionnaire (PHQ)-9. However, these evaluation systems have relied on a person's subjective information, which sometimes lead to difficulties in ...[more]

PMID: 27984586

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Project description:ObjectiveInsomnia has been linked to suicidal ideas and suicide death in cross-sectional and longitudinal population-based studies. A link between insomnia and suicide has not been previously examined in the setting of a clinical trial. Herein we describe the relationship between insomnia and suicidal thinking during the course of a clinical trial for depression with insomnia.MethodsSixty patients aged 41.5±12.5 years (2/3 women) with major depressive episode and symptoms of insomnia received open-label fluoxetine for 9 weeks and also received blinded, randomized eszopiclone 3mg or placebo at bedtime after the first week of fluoxetine. Insomnia symptoms were assessed with the Insomnia Severity Index (ISI), and suicidal ideation was assessed with The Scale for Suicide Ideation (SSI). Depression symptoms were assessed with the depressed mood item and the anhedonia item from the Hamilton Rating Scale for Depression-24 (HRSD24), as well as a sum score for all non-sleep and non-suicide items from the HRSD (HRSD20). Measurements were taken at baseline and weeks 1, 2, 4, 6, and 8. SSI was examined by generalized linear mixed models for repeated measures as the outcome of interest for all 60 participants with ISI and various mood symptoms as independent variables, with adjustment for age, gender, treatment assignment, and baseline SSI.ResultsHigher levels of insomnia corresponded to significantly greater intensity of suicidal thinking (p<0.01). The depressed mood item of the HRSD, and the sum of the HRSD20, both corresponded to greater suicidal thinking (p<0.001). The anhedonia item did not correspond with suicidal thinking. When both ISI and the depressed mood item, or ISI and the anhedonia item, were included together in the same model, the ISI remained an independent predictor of suicidal thinking.ConclusionsThe results support the concept that insomnia may be a useful indicator for suicidal ideation and now extend this idea into clinical trials. Insomnia remains an independent indicator of suicidal ideation, even taking into account the core symptoms of depression such as depressed mood and anhedonia. The complaint of insomnia during a depression clinical trial might indicate that more direct questioning about suicide is warranted.

Project description:BackgroundRecent analyses have described metabolomic markers for depression and suicidal ideation in non-pregnant adults. We examined the metabolomic profile of antepartum depression and suicidal ideation during mid-pregnancy, a time of high susceptibility to mood disorders.MethodsWe collected fasting blood from 100 pregnant Peruvian women and profiled 307 plasma metabolites using liquid chromatography-mass spectrometry. We used the Patient Health Questionnaire 9 to define antepartum depression (score  ≥ 10) and suicidal ideation (having thoughts that you would be better off dead, or of hurting yourself). Logistic regression was used to calculate odds ratios (ORs).ResultsThree triacylglycerol metabolites (C48:5 triacylglycerol [OR = =1.89; 95% confidence interval (CI): 1.14-3.14], C50:6 triacylglycerol [OR = =1.88; 95%CI: 1.13-3.14], C46:4 triacylglycerol [OR = =1.89; 95%CI: 1.11-3.21]) were associated with higher odds of antepartum depression and 4 metabolites (betaine [OR = =0.56; 95%CI:0.33-0.95], citrulline [OR = =0.58; 95%CI: 0.34-0.98], C5 carnitine [OR = =0.59; 95%CI: 0.36-0.99], C5:1 carnitine [OR = =0.59; 95%CI: 0.35-1.00]) with lower odds of antepartum depression. Twenty-six metabolites, including 5-hydroxytryptophan (OR = =0.52; 95%CI: 0.30-0.92), phenylalanine (OR = =0.41; 95%CI: 0.19-0.91), and betaine (OR = =0.53; 95%CI: 0.28-0.99) were associated with lower odds of suicidal ideation.LimitationsOur cross-sectional study could not determine whether metabolites prospectively predict outcomes. No metabolites remained significant after multiple testing correction; these novel findings should be replicated in a larger sample.ConclusionsAntepartum suicidal ideation metabolomic markers are similar to markers of depression among non-pregnant adults, and distinct from markers of antepartum depression. Findings suggest that mood disorder in pregnancy shares metabolomic similarities to mood disorder at other times and may further understanding of these conditions' pathophysiology.

Project description:During the immediate period following psychiatric hospitalization, adolescents are at increased risk for suicide attempts and rehospitalization. Because most adolescents return to school during this time, school-related experiences are important considerations during the transition from inpatient hospitalization. This study sought to understand how adolescent perceptions of school may change following hospitalization, and how these changes may predict recovery from a suicide-related crisis. Participants included 155 adolescents (Mage = 15.2 years; 68.6% female, 65.4% White; 14.7% Hispanic/Latinx; grades 7-12) hospitalized for a suicide-related crisis assessed 3 weeks and 6 months following discharge. Results from Latent Change Score models indicated a worsening of perceptions of teacher relationships (mean change (Δ) = 1.52), connectedness to learning (Δ = 1.55), parent involvement (Δ = 1.82), and academic satisfaction (Δ = 1.34), as well as higher frequency of perceived bullying victimization (Δ = 0.71) following hospitalization. Poorer perceptions of teacher relationships and higher frequency of perceived bullying victimization during hospitalization (β = 0.31 and 0.34), as well as worsening changes of teacher relationships and increased frequency of perceived bullying victimization following hospitalization (β = 0.48 and 0.41) were associated with higher levels of suicidal ideation severity 3 weeks following discharge. Poorer and worsening perceptions of teacher relationships were associated with higher levels of suicidal ideation intensity at 3 weeks (β = 0.37 and 0.54). Poorer perceptions of connectedness to learning during hospitalization emerged as a significant predictor of higher levels of suicidal ideation intensity 6 months following hospitalization (β = 0.20). Results reinforce the importance of fostering positive adult relationships and preventing bullying both prior to and immediately following psychiatric hospitalization. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Dataset Information

Plasma Metabolites Predict Severity of Depression and Suicidal Ideation in Psychiatric Patients-A Multicenter Pilot Analysis.

Publications

Plasma Metabolites Predict Severity of Depression and Suicidal Ideation in Psychiatric Patients-A Multicenter Pilot Analysis.

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