Altered neurometabolite levels in the brains of patients with depression: A systematic analysis of magnetic resonance spectroscopy studies

扣带回前部 前额叶皮质 萧条(经济学) 谷氨酸的 胆碱 谷氨酸受体 内科学 代谢物 心理学 皮质(解剖学) 神经科学 内分泌学 医学 谷氨酰胺 生物 生物化学 认知 氨基酸 受体 经济 宏观经济学
作者
Xiong‐Fei Xie,Yan Shi,Lin Ma,Wenqin Yang,Juncai Pu,Yiqing Shen,Yiyun Liu,Hanping Zhang,Fajin Lv,Liangbo Hu
出处
期刊:Journal of Affective Disorders [Elsevier]
卷期号:328: 95-102 被引量:8
标识
DOI:10.1016/j.jad.2022.12.020
摘要

Numerous magnetic resonance spectroscopy (MRS) studies have reported metabolic abnormalities in the brains of patients with depression, although inconsistent results have been reported. The aim of this study was to explore changes in neurometabolite levels in patients with depression across large-scale MRS studies.A total of 307 differential metabolite entries associated with depression were retrieved from 180 MRS studies retrieved from the Metabolite Network of Depression Database. The vote-counting method was used to identify consistently altered metabolites in the whole brain and specific brain regions of patients with depression.Only few differential neurometabolites showed a stable change trend. The levels of total choline (tCho) and the tCho/N-acetyl aspartate (NAA) ratio were consistently higher in the brains of patients with depression, and that the levels of NAA, glutamate and glutamine (Glx), and gamma-aminobutyric acid (GABA) were lower. For specific brain regions, we found lower Glx levels in the prefrontal cortex and lower GABA concentrations in the occipital cortex. We also found lower concentrations of NAA in the anterior cingulate cortex and prefrontal cortex. The levels of tCho were higher in the prefrontal cortex and putamen.Our results revealed that most altered neurometabolites in previous studies lack of adequate reproducibility. Through vote-counting method with large-scale studies, downregulation of glutamatergic neurometabolites, impaired neuronal integrity, and disturbed membrane metabolism were found in the pathobiology of depression, which contribute to existing knowledge of neurometabolic changes in depression. Further studies based on a larger dataset are needed to confirm our findings.
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