Gut Microbiota-Derived Inflammation-Related Serum Metabolites as Potential Biomarkers for Major Depressive Disorder.
Gut Microbiota-Derived Inflammation-Related Serum Metabolites as Potential Biomarkers for Major Depressive Disorder.
复制标题
肠道微生物群衍生的炎症相关血清代谢物作为重度抑郁症的潜在生物标志物
DOI：
10.2147/jir.s324922
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发表时间：
2021
影响因子：
4.5
通讯作者：
Chen JJ
中科院分区：
文献类型：
--
作者：
Bai S;Xie J;Bai H;Tian T;Zou T;Chen JJ
尽管已经开展了许多工作来探索诊断重度抑郁症（MDD）的生物标志物，但广泛接受的生物标志物仍未确定。因此，血清代谢组学和粪便微生物群落的联合应用被用来鉴定肠道微生物群衍生的炎症相关血清代谢物作为 MDD 的潜在生物标志物。本研究包括 MDD 患者和健康对照 (HC)。收集血清样本和粪便样本。采用液相色谱质谱法（LC-MS）检测血清样本中的代谢物，并利用16S rRNA基因测序分析粪便样本中的肠道菌群组成。总共招募了 60 名 MDD 患者和 60 名 HC。鉴定出 24 种差异血清代谢物，其中 10 种是炎症相关代谢物。使用差异代谢物确定了三种显着影响的炎症相关途径。鉴定出 17 个差异属，其中 14 个属属于厚壁菌门。使用差异属鉴定出四种显着影响的炎症相关途径。五种炎症相关代谢物（LysoPC(16:0)、脱氧胆酸、二十二碳六烯酸、牛磺胆酸和 LysoPC(20:0)）被确定为潜在的生物标志物。这些潜在的生物标志物与厚壁菌门属具有显着相关性。由这些生物标志物组成的小组可以有效区分 MDD 患者和 HC，训练集的曲线下面积 (AUC) 为 0.95，测试集的曲线下面积 (AUC) 为 0.92。这些发现表明，厚壁菌门的紊乱可能通过调节宿主的炎症反应参与抑郁症的发病，这些潜在的生物标志物可能有助于未来研究诊断MDD的客观方法。
Although many works have been conducted to explore the biomarkers for diagnosing major depressive disorder (MDD), the widely accepted biomarkers are still not identified. Thus, the combined application of serum metabolomics and fecal microbial communities was used to identify gut microbiota-derived inflammation-related serum metabolites as potential biomarkers for MDD. MDD patients and healthy controls (HCs) were included in this study. Both serum samples and fecal samples were collected. The liquid chromatography mass spectrometry (LC-MS) was used to detect the metabolites in serum samples, and the 16S rRNA gene sequencing was used to analyze the gut microbiota compositions in fecal samples. Totally, 60 MDD patients and 60 HCs were recruited. The 24 differential serum metabolites were identified, and 10 of these were inflammation-related metabolites. Three significantly affected inflammation-related pathways were identified using differential metabolites. The 17 differential genera were identified, and 14 of these genera belonged to phyla Firmicutes. Four significantly affected inflammation-related pathways were identified using differential genera. Five inflammation-related metabolites (LysoPC(16:0), deoxycholic acid, docosahexaenoic acid, taurocholic acid and LysoPC(20:0)) were identified as potential biomarkers. These potential biomarkers had significant correlations with genera belonged to phyla Firmicutes. The panel consisting of these biomarkers could effectively distinguish MDD patients from HCs with an area under the curve (AUC) of 0.95 in training set and 0.92 in testing set. These findings suggested that the disturbance of phyla Firmicutes might be involved in the onset of depression by regulating host’s inflammatory response, and these potential biomarkers could be useful for future investigating the objective methods for diagnosing MDD.