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鉴定新型内质网相关基因及其与重度抑郁症免疫细胞浸润的关系。

Identification of novel endoplasmic reticulum-related genes and their association with immune cell infiltration in major depressive disorder.

机构信息

Division of Clinical Neuroscience, Chiba University Center for Forensic Mental Health, Chiba 260-8670, Japan.

Key Laboratory of Medical Electrophysiology of Ministry of Education and Medical Electrophysiological Key Laboratory of Sichuan Province, Collaborative Innovation Center for Prevention and Treatment of Cardiovascular Disease, Institute of Cardiovascular Research, Southwest Medical University, Luzhou 646000, Sichuan, China.

出版信息

J Affect Disord. 2024 Jul 1;356:190-203. doi: 10.1016/j.jad.2024.04.029. Epub 2024 Apr 10.

Abstract

BACKGROUND

Several lines of evidence point to an interaction between genetic predisposition and environmental factors in the onset of major depressive disorder (MDD). This study is aimed to investigate the pathogenesis of MDD by identifying key biomarkers, associated immune infiltration using bioinformatic analysis and human postmortem sample.

METHODS

The Gene Expression Omnibus (GEO) database of GSE98793 was adopted to identify hub genes linked to endoplasmic reticulum (ER) stress-related genes (ERGs) in MDD. Another GEO database of GSE76826 was employed to validate the novel target associated with ERGs and immune infiltration in MDD. Moreover, human postmortem sample from MDD patients was utilized to confirm the differential expression analysis of hub genes.

RESULTS

We discovered 12 ER stress-related differentially expressed genes (ERDEGs). A LASSO Cox regression analysis helped construct a diagnostic model for these ERDEGs, incorporating immune infiltration analysis revealed that three hub genes (ERLIN1, SEC61B, and USP13) show the significant and consistent expression differences between the two groups. Western blot analysis of postmortem brain samples indicated notably higher expression levels of ERLIN1 and SEC61B in the MDD group, with USP13 also tending to increase compared to control group.

LIMITATIONS

The utilization of the MDD gene chip in this analysis was sourced from the GEO database, which possesses a restricted number of pertinent gene chip samples.

CONCLUSIONS

These findings indicate that ERDEGs especially including ERLIN1, SEC61B, and USP13 associated the infiltration of immune cells may be potential diagnostic indicators for MDD.

摘要

背景

有几条证据表明,遗传易感性和环境因素在重度抑郁症(MDD)的发病中相互作用。本研究旨在通过鉴定关键生物标志物、使用生物信息学分析和人类尸检样本研究 MDD 的发病机制。

方法

采用基因表达综合数据库(GEO)中的 GSE98793 来识别与 MDD 内质网(ER)应激相关基因(ERGs)相关的枢纽基因。另一个 GEO 数据库 GSE76826 用于验证与 ERGs 和 MDD 免疫浸润相关的新靶点。此外,还利用 MDD 患者的尸检样本,对枢纽基因的差异表达分析进行验证。

结果

我们发现了 12 个 ER 应激相关差异表达基因(ERDEGs)。LASSO Cox 回归分析有助于构建这些 ERDEGs 的诊断模型,免疫浸润分析显示,三个枢纽基因(ERLIN1、SEC61B 和 USP13)在两组之间表现出显著且一致的表达差异。对尸检脑组织样本的 Western blot 分析表明,在 MDD 组中,ERLIN1 和 SEC61B 的表达水平明显升高,USP13 的表达也倾向于高于对照组。

局限性

本分析中使用的 MDD 基因芯片来源于 GEO 数据库,该数据库的相关基因芯片样本数量有限。

结论

这些发现表明,ERDEGs 尤其是包括 ERLIN1、SEC61B 和 USP13 在内的与免疫细胞浸润相关的基因,可能是 MDD 的潜在诊断标志物。

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