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促炎细胞因子可预测双相情感障碍患者前扣带回皮质中的脑代谢物浓度。

Proinflammatory Cytokines Predict Brain Metabolite Concentrations in the Anterior Cingulate Cortex of Patients With Bipolar Disorder.

作者信息

Poletti Sara, Mazza Mario Gennaro, Vai Benedetta, Lorenzi Cristina, Colombo Cristina, Benedetti Francesco

机构信息

Psychiatry & Clinical Psychobiology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.

Vita-Salute San Raffaele University, Milan, Italy.

出版信息

Front Psychiatry. 2020 Dec 8;11:590095. doi: 10.3389/fpsyt.2020.590095. eCollection 2020.

Abstract

Bipolar disorder (BD) is a severe psychiatric illness characterized by abnormalities in the immune/inflammatory function and in brain metabolism. Evidences suggest that inflammation may affect the levels of brain metabolites as measured by single-proton magnetic resonance spectroscopy (H-MRS). The aim of the study was to investigate whether a wide panel of inflammatory markers (i.e., cytokines, chemokines, and growth factors) can predict brain metabolite concentrations of glutamate, -inositol, -acetylaspartate, and glutathione in a sample of 63 bipolar patients and 49 healthy controls. Three cytokines influenced brain metabolite concentrations: IL-9 positively predicts glutamate, IL-1β positively predicts -inositol, and CCL5 positively predicts -acetylaspartate concentrations. Furthermore, patients showed higher concentrations of glutamate, -inositol, and glutathione and lower concentrations of -acetylaspartate in respect to healthy controls. Our results confirm that inflammation in BD alters brain metabolism, through mechanisms possibly including the production of reactive oxygen species and glia activation.

摘要

双相情感障碍(BD)是一种严重的精神疾病,其特征在于免疫/炎症功能和脑代谢异常。有证据表明,炎症可能会影响通过单质子磁共振波谱(H-MRS)测量的脑代谢物水平。本研究的目的是调查一组广泛的炎症标志物(即细胞因子、趋化因子和生长因子)是否能够预测63例双相情感障碍患者和49例健康对照样本中谷氨酸、肌醇、N-乙酰天门冬氨酸和谷胱甘肽的脑代谢物浓度。三种细胞因子影响脑代谢物浓度:IL-9正向预测谷氨酸,IL-1β正向预测肌醇,CCL5正向预测N-乙酰天门冬氨酸浓度。此外,与健康对照相比,患者的谷氨酸、肌醇和谷胱甘肽浓度较高,而N-乙酰天门冬氨酸浓度较低。我们的结果证实,双相情感障碍中的炎症会改变脑代谢,其机制可能包括活性氧的产生和胶质细胞激活。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d96/7753118/cc8ad17d9a96/fpsyt-11-590095-g0001.jpg

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