Resting-state functional magnetic resonance imaging and tryptophan hydroxylase-2 methylation interaction in major depressive disorder

IF 3.5 3区 医学 Q2 NEUROSCIENCES
Zhi Xu , Tingting Tan , Yan Jiang , Haiping Tang , Bingwei Chen , Wenji Chen , Yonggui Yuan
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引用次数: 0

Abstract

Background

Functional abnormalities in different brain regions are related to major depressive disorder (MDD). In our previous study, we demonstrated that DNA methylation of Tryptophan Hydroxylase-2 (TPH2) is related to the occurrence of MDD. The present study aimed to identify the interaction of the functional activities of brain regions identified as regions of interest (RoI) in MDD with TPH2 gene methylation to explore their relationship.

Methods

Data from 98 patients with MDD and 63 controls were utilized. The amplitude of low-frequency fluctuation (ALFF), regional homogeneity (ReHo) and fractional ALFF (fALFF), were used to identify ROIs regions in the RESTPlus Software of MATLAB. General linear regression (GLM) was performed to analyze the association between functional connectivity (FC) found in rs-fMRI and the effect of TPH2 DNA methylation in patients with MDD and controls.

Results

In the rs-fMRI analysis, the ALFF of right superior generalized gyrus (STG) was significantly different between the MDD and HCs groups (p < 0.05). The ReHo of right Middle temporal gyrus (MTG) and left middle occipital gyrus (MOG) were significantly different between the two groups (p < 0.05). These ROIs were used to further analyze the FC differences between MDD and HCs, and it was found that the FC of right STG and right superior frontal gyrus (SFG) and the FC of right MTG and right MOG were significantly different between the two groups (p < 0.05). It was further found that the interaction between ALFF activity of the right STG and TPH2–5–203 methylation (β=-2.108, p = 0.004), ReHo activity level of the right MTG, and TPH2–5–203 methylation were correlated with the occurrence of MDD (β=-1.720, p = 0.018).

Conclusion

This study found that the functional activities of the temporal lobe, middle occipital gyrus, and superior frontal gyrus were abnormal in patients with MDD compared to HCs. Furthermore, the interaction of functional activities of the right superior temporal gyrus /middle temporal gyrus and TPH2 methylation were associated with the occurrence of MDD, suggesting that the combination of functional activities and DNA methylation was helpful for diagnosis of MDD.
静息状态功能磁共振成像与色氨酸羟化酶-2甲基化在重度抑郁症中的相互作用。
背景:不同脑区功能异常与重度抑郁症(MDD)有关。在我们之前的研究中,我们证明了色氨酸羟化酶-2 (TPH2)的DNA甲基化与MDD的发生有关。本研究旨在确定MDD中被确定为感兴趣区域(RoI)的大脑区域的功能活动与TPH2基因甲基化的相互作用,以探讨它们之间的关系。方法:98例重度抑郁症患者和63例对照组的数据。在MATLAB的RESTPlus软件中,使用低频波动幅度(ALFF)、区域均匀性(ReHo)和分数ALFF (fALFF)来识别roi区域。采用一般线性回归(GLM)分析rs-fMRI发现的功能连通性(FC)与MDD患者和对照组中TPH2 DNA甲基化的影响之间的关系。结果:rs-fMRI分析显示,MDD组与hcc组右侧广义上回(STG) ALFF差异有统计学意义(p < 0.05)。两组患者右侧颞中回(MTG)和左侧枕中回(MOG)的ReHo差异有统计学意义(p < 0.05)。利用这些roi进一步分析MDD和hc之间的FC差异,发现两组患者右侧STG和右侧额上回(SFG)的FC以及右侧MTG和右侧MOG的FC差异有统计学意义(p < 0.05)。进一步发现,右侧STG的ALFF活性与TPH2-5-203甲基化(β=-2.108, p= 0.004)、右侧MTG的ReHo活性水平与TPH2-5-203甲基化的相互作用与MDD的发生相关(β=-1.720, p=0.018)。结论:本研究发现MDD患者颞叶、枕中回、额上回的功能活动与hc相比存在异常。此外,右侧颞上回/颞中回功能活动与TPH2甲基化的相互作用与MDD的发生有关,提示功能活动与DNA甲基化的结合有助于MDD的诊断。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Brain Research Bulletin
Brain Research Bulletin 医学-神经科学
CiteScore
6.90
自引率
2.60%
发文量
253
审稿时长
67 days
期刊介绍: The Brain Research Bulletin (BRB) aims to publish novel work that advances our knowledge of molecular and cellular mechanisms that underlie neural network properties associated with behavior, cognition and other brain functions during neurodevelopment and in the adult. Although clinical research is out of the Journal''s scope, the BRB also aims to publish translation research that provides insight into biological mechanisms and processes associated with neurodegeneration mechanisms, neurological diseases and neuropsychiatric disorders. The Journal is especially interested in research using novel methodologies, such as optogenetics, multielectrode array recordings and life imaging in wild-type and genetically-modified animal models, with the goal to advance our understanding of how neurons, glia and networks function in vivo.
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