Department of Psychiatry, University Hospitals Cleveland Medical Center, Cleveland, OH, United States of America; Case Western Reserve University School of Medicine, Cleveland, OH, United States of America.
Department of Computer Science, University of Texas Rio Grande Valley, Edinburg, TX, United States of America.
J Affect Disord. 2023 May 1;328:116-127. doi: 10.1016/j.jad.2023.02.058. Epub 2023 Feb 16.
Molecular biomarkers for bipolar disorder (BD) that distinguish it from other manifestations of depressive symptoms remain unknown. The aim of this study was to determine if a very sensitive tyramine-based signal-amplification technology for flow cytometry (CellPrint™) could facilitate the identification of cell-specific analyte expression profiles of peripheral blood cells for bipolar depression (BPD) versus healthy controls (HCs).
The diagnosis of psychiatric disorders was ascertained with Mini International Neuropsychiatric Interview for DSM-5. Expression levels for eighteen protein analytes previously shown to be related to bipolar disorder were assessed with CellPrint™ in CD4 T cells and monocytes of bipolar patients and HCs. Implementation of protein-protein interaction (PPI) network and pathway analysis was subsequently used to identify new analytes and pathways for subsequent interrogations.
Fourteen drug-naïve or -free patients with bipolar I or II depression and 17 healthy controls (HCs) were enrolled. The most distinguishable changes in analyte expression based on t-tests included GSK3β, HMGB1, IRS2, phospho-GSK3αβ, phospho-RELA, and TSPO in CD4 T cells and calmodulin, GSK3β, IRS2, and phospho-HS1 in monocytes. Subsequent PPI and pathway analysis indicated that prolactin, leptin, BDNF, and interleukin-3 signal pathways were significantly different between bipolar patients and HCs.
The sample size of the study was small and 2 patients were on medications.
In this pilot study, CellPrint™ was able to detect differences in cell-specific protein levels between BPD patients and HCs. A subsequent study including samples from patients with BPD, major depressive disorder, and HCs is warranted.
区分双相障碍(BD)与其他抑郁症状表现的分子生物标志物仍不清楚。本研究旨在确定一种非常敏感的基于酪胺的流式细胞术信号放大技术(CellPrint™)是否可以促进识别双相抑郁(BPD)与健康对照(HCs)外周血细胞的细胞特异性分析物表达谱。
使用 Mini 国际神经精神访谈DSM-5 确定精神疾病的诊断。使用 CellPrint™评估 18 种先前与双相障碍相关的蛋白分析物在双相患者和 HCs 的 CD4 T 细胞和单核细胞中的表达水平。随后实施蛋白质-蛋白质相互作用(PPI)网络和途径分析,以识别新的分析物和途径进行后续研究。
纳入了 14 名未经药物治疗或药物治疗的双相 I 或 II 型抑郁症患者和 17 名健康对照(HCs)。基于 t 检验,分析物表达最明显的变化包括 CD4 T 细胞中的 GSK3β、HMGB1、IRS2、磷酸化-GSK3αβ、磷酸化-RELA 和 TSPO 以及单核细胞中的钙调蛋白、GSK3β、IRS2 和磷酸化-HS1。随后的 PPI 和途径分析表明,催乳素、瘦素、BDNF 和白细胞介素-3 信号通路在双相患者和 HCs 之间存在显著差异。
该研究的样本量较小,有 2 名患者正在接受治疗。
在这项初步研究中,CellPrint™ 能够检测出 BPD 患者与 HCs 之间细胞特异性蛋白水平的差异。需要进行包括 BPD 患者、重度抑郁症患者和 HCs 样本的后续研究。