Whipp Alyce M, Heinonen-Guzejev Marja, Pietiläinen Kirsi H, van Kamp Irene, Kaprio Jaakko
Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland.
Clinicum, Department of Public Health, University of Helsinki, Helsinki, Finland.
Front Neurosci. 2022 Sep 30;16:935858. doi: 10.3389/fnins.2022.935858. eCollection 2022.
Depression is a heterogeneous mental health problem affecting millions worldwide, but a majority of individuals with depression do not experience relief from initial treatments. Therefore, we need to improve our understanding of the biology of depression. Metabolomic approaches, especially untargeted ones, can suggest new hypotheses for further exploring biological mechanisms. Using the FinnTwin12 cohort, a longitudinal Finnish population-based twin cohort, with data collected in adolescence and young adulthood including 725 blood plasma samples, we investigated associations between depression and 11 low-molecular weight metabolites (amino acids and ketone bodies). In linear regression models with the metabolite (measured at age 22) as the dependent variable and depression ratings (measured at age 12, 14, 17, or 22 from multiple raters) as independent variables [adjusted first for age, sex, body mass index (BMI), and additional covariates (later)], we initially identified a significant negative association of valine with depression. Upon further analyses, valine remained significantly negatively associated with depression cross-sectionally and over time [meta-analysis beta = -13.86, 95% CI (-18.48 to -9.25)]. Analyses of the other branched-chain amino acids showed a significant negative association of leucine with depression [meta-analysis beta = -9.24, 95% CI (-14.53 to -3.95)], while no association was observed between isoleucine and depression [meta-analysis beta = -0.95, 95% CI (-6.00 to 4.11)]. These exploratory epidemiologic findings support further investigations into the role of branched-chain amino acids in depression.
抑郁症是一个影响全球数百万人的异质性心理健康问题,但大多数抑郁症患者无法从初始治疗中获得缓解。因此,我们需要加深对抑郁症生物学机制的理解。代谢组学方法,尤其是非靶向代谢组学方法,可以为进一步探索生物学机制提出新的假设。利用芬兰双胞胎12队列(FinnTwin12 cohort),这是一个基于芬兰人群的纵向双胞胎队列,收集了青少年和青年时期的数据,包括725份血浆样本,我们研究了抑郁症与11种低分子量代谢物(氨基酸和酮体)之间的关联。在线性回归模型中,以代谢物(在22岁时测量)作为因变量,抑郁症评分(由多个评估者在12岁、14岁、17岁或22岁时测量)作为自变量[首先对年龄、性别、体重指数(BMI)和其他协变量进行调整(随后)],我们最初发现缬氨酸与抑郁症之间存在显著的负相关。经过进一步分析,缬氨酸在横断面和随时间变化上与抑郁症仍存在显著负相关[荟萃分析β=-13.86,95%可信区间(-18.48至-9.25)]。对其他支链氨基酸的分析显示,亮氨酸与抑郁症之间存在显著负相关[荟萃分析β=-9.24,95%可信区间(-14.53至-3.95)],而异亮氨酸与抑郁症之间未观察到关联[荟萃分析β=-0.95,95%可信区间(-6.00至4.11)]。这些探索性的流行病学研究结果支持进一步研究支链氨基酸在抑郁症中的作用。