Table_6_Alterations of Plasma Lipids in Adult Women With Major Depressive Disorder and Bipolar Depression.xlsx

Lipidomics has been established as a potential tool for the investigation of mental diseases. However, the composition analysis and the comparison of the peripheral lipids regarding adult women with major depressive depression (MDD) or bipolar depression (BPD) has been poorly addressed. In the present study, age-matched female individuals with MDD (n = 28), BPD (n = 22) and healthy controls (HC, n = 25) were enrolled. Clinical symptoms were assessed and the plasma samples were analyzed by comprehensive lipid profiling based on liquid chromatography-mass spectrometry (LC/MS). We found that the composition of lipids was remarkably changed in the patients with MDD and BPD when compared to HC or compared to each other. Moreover, we identified diagnostic potential biomarkers comprising 20 lipids that can distinguish MDD from HC (area under the curve, AUC = 0.897) and 8 lipids that can distinguish BPD from HC (AUC = 0.784), as well as 13 lipids were identified to distinguish MDD from BPD with moderate reliability (AUC = 0.860). This study provides further understanding of abnormal lipid metabolism in adult women with MDD and BPD and may develop lipid classifiers able to effectively discriminate MDD from BPD and HC.脂质组学（Lipidomics）已被证实为研究精神疾病的潜在工具。然而，针对成年女性重度抑郁症 (major depressive depression, MDD) 或双相抑郁 (bipolar depression, BPD) 患者的外周脂质组成分析与对比研究，目前仍鲜有涉及。本研究纳入了年龄匹配的女性受试者，其中重度抑郁症患者28例（n=28）、双相抑郁患者22例（n=22）以及健康对照 (healthy controls, HC) 25例（n=25）。研究人员对受试者的临床症状进行了评估，并采用基于液相色谱-质谱联用 (liquid chromatography-mass spectrometry, LC/MS) 的全面脂质谱分析技术对血浆样本进行了检测。研究发现，与健康对照相比，或两组患者相互对比时，重度抑郁症与双相抑郁患者的脂质组成均发生了显著改变。此外，本研究筛选出了多组具备诊断潜力的脂质生物标志物：可区分重度抑郁症与健康对照的20种脂质（曲线下面积 (area under the curve, AUC) = 0.897）、可区分双相抑郁与健康对照的8种脂质（AUC = 0.784），以及可中等可靠地区分重度抑郁症与双相抑郁的13种脂质（AUC = 0.860）。本研究进一步加深了对成年女性重度抑郁症与双相抑郁患者异常脂质代谢的理解，并有望开发出可有效区分重度抑郁症、双相抑郁与健康对照的脂质分类器。