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首发精神病的血浆代谢物谱:探索精神分裂症和双相情感障碍队列中的症状异质性/严重程度

Plasma Metabolite Profiles in First Episode Psychosis: Exploring Symptoms Heterogeneity/Severity in Schizophrenia and Bipolar Disorder Cohorts.

作者信息

Joaquim Helena P G, Costa Alana C, Talib Leda L, Dethloff Frederik, Serpa Mauricio H, Zanetti Marcus V, van de Bilt Martinus, Turck Christoph W

机构信息

Laboratory of Neuroscience LIM-27, Department and Institute of Psychiatry, University of Sao Paulo Medical School, Sao Paulo, Brazil.

Instituto Nacional de Biomarcadores em Neuropsiquiatria (INBioN), Conselho Nacional de Desenvolvimento Científico e Tecnológico, Sao Paulo, Brazil.

出版信息

Front Psychiatry. 2020 Jun 5;11:496. doi: 10.3389/fpsyt.2020.00496. eCollection 2020.

Abstract

INTRODUCTION

The first symptoms of psychosis are frequently shared amongst several neuropsychiatry disorders, which makes the differentiation by clinical diagnosis challenging. Early recognition of symptoms is important in the management of psychosis. Therefore, the implementation of molecular biomarkers will be crucial for transforming the currently used diagnostic and therapeutic approach, improving insights into the underlying biological processes and clinical management.

OBJECTIVES

To define a set of metabolites that supports diagnosis or prognosis of schizophrenia (SCZ) and bipolar disorder (BD) at first onset psychosis.

METHODS

Plasma samples from 55 drug-naïve patients, 28 SCZ and 27 BD, and 42 healthy controls (HC). All participants underwent a seminaturalistic treatment regimen, clinically evaluated on a weekly basis until achieving clinical remission. All clinical or sociodemographic aspects considered for this study were equivalent between the groups at first-onset psychosis time point. The plasma samples were analyzed by untargeted liquid chromatography-tandem mass spectrometry (LC-MS/MS) using reversed-phase and hydrophilic interaction chromatography. The acquired molecular features were analyzed with MetaboAnalyst.

RESULTS

We identified two patient groups with different metabolite profiles. Both groups are composed of SCZ and BD patients. We found differences between these two groups regarding general symptoms of PANSS score after remission (p = 0.008), and the improvement of general symptoms (delta of the score at remission minus the baseline) (-0.50 vs. -0.33, p = 0.019).

CONCLUSION

Our results suggest that plasma metabolite profiles cluster clinical remission phenotypes based on PANSS general psychopathology scores.

摘要

引言

精神病的首发症状在几种神经精神疾病中常常相似,这使得通过临床诊断进行区分具有挑战性。早期识别症状对于精神病的管理很重要。因此,分子生物标志物的应用对于转变目前使用的诊断和治疗方法、增进对潜在生物学过程的理解以及临床管理至关重要。

目的

确定一组在精神病首次发作时支持精神分裂症(SCZ)和双相情感障碍(BD)诊断或预后的代谢物。

方法

采集了55例未用药患者的血浆样本,其中28例为SCZ患者,27例为BD患者,以及42例健康对照(HC)。所有参与者都接受了半自然主义治疗方案,每周进行临床评估,直至达到临床缓解。在首次发作精神病的时间点,本研究考虑的所有临床或社会人口统计学方面在各组之间是等同的。血浆样本通过非靶向液相色谱 - 串联质谱(LC-MS/MS)使用反相和亲水相互作用色谱进行分析。获得的分子特征用MetaboAnalyst进行分析。

结果

我们识别出两组具有不同代谢物谱的患者群体。两组均由SCZ和BD患者组成。我们发现这两组在缓解后PANSS评分的总体症状方面存在差异(p = 0.008),以及总体症状的改善情况(缓解时评分减去基线的差值)(-0.50对-0.33,p = 0.019)。

结论

我们的结果表明,血浆代谢物谱基于PANSS总体精神病理学评分聚类临床缓解表型。

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