Psychiatric Laboratory and Mental Health Center, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, China; Huaxi Brain Research Center, West China Hospital of Sichuan University, Chengdu, China.
Huaxi Brain Research Center, West China Hospital of Sichuan University, Chengdu, China; Huaxi Biobank, West China Hospital of Sichuan University, Chengdu, China.
Psychiatry Res. 2021 May;299:113880. doi: 10.1016/j.psychres.2021.113880. Epub 2021 Mar 18.
Previous omics studies have greatly contributed to our knowledge of bipolar disorder. Metabolomics is a relatively new field of omics science that can provide complementary insight into data obtained from genomics, transcriptomics or proteomics analyses. In this study, we aimed to identify metabolic pathways associated with bipolar disorder. We performed a liquid chromatography-mass spectrometry-based study to identify plasma metabolic profiles in patients with bipolar disorder (N = 91) and healthy controls (N = 92). Multivariate features selection by sparse partial least square-discriminant analysis combined with metabolite set enrichment analysis were used to identify metabolites and biological pathways that discriminate patients with bipolar disorder from healthy controls. The results showed that eighty metabolites in the plasma were identified to discriminate patients with bipolar disorder from healthy controls, and nine metabolic pathways, i.e., (1) glycine and serine metabolism, (2) glutamate metabolism, (3) arginine and proline metabolism, (4) tyrosine metabolism, (5) catecholamine biosynthesis, (6) purine metabolism, (7) amino sugar metabolism, (8) ammonia recycling, and (9) carnitine synthesis, were identified to be altered in bipolar disorder compared to healthy controls. We conclude that the 80 metabolites and nine metabolic pathways identified might serve as biomarkers to distinguish bipolar disorder patients from healthy controls.
先前的组学研究极大地促进了我们对双相情感障碍的认识。代谢组学是组学科学的一个相对较新的领域，它可以为从基因组学、转录组学或蛋白质组学分析中获得的数据提供补充性的见解。在这项研究中，我们旨在确定与双相情感障碍相关的代谢途径。我们进行了一项基于液相色谱-质谱的研究，以鉴定双相情感障碍患者（N=91）和健康对照者（N=92）的血浆代谢谱。稀疏偏最小二乘判别分析与代谢物集富集分析相结合的多变量特征选择用于识别区分双相情感障碍患者和健康对照者的代谢物和生物途径。结果表明，在血浆中鉴定出 80 种代谢物可将双相情感障碍患者与健康对照者区分开来，并且有 9 条代谢途径，即（1）甘氨酸和丝氨酸代谢，（2）谷氨酸代谢，（3）精氨酸和脯氨酸代谢，（4）酪氨酸代谢，（5）儿茶酚胺生物合成，（6）嘌呤代谢，（7）氨基糖代谢，（8）氨循环，和（9）肉碱合成，在双相情感障碍中发生改变。我们得出结论，鉴定出的 80 种代谢物和 9 条代谢途径可能可作为区分双相情感障碍患者和健康对照者的生物标志物。
