Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC 27710, USA.
J Geriatr Psychiatry Neurol. 2010 Jun;23(2):138-46. doi: 10.1177/0891988709358592. Epub 2010 Jan 25.
Metabolomics is an emerging technology that allows researchers to characterize hundreds of small molecules that comprise the metabolome. We sought to determine metabolic differences in depressed and nondepressed participants. The sample consisted of a depressed group of patients with heart failure enrolled in an NIMH-supported clinical trial of sertraline versus placebo in depressed heart failure patients, and a nondepressed comparator group of heart failure patients. Plasma was obtained from blood samples provided by participants at baseline, and samples were profiled on GC-MS and LC-MS metabolomics platforms for biochemical content. A number of biochemicals were significantly different between groups, with depressed participants showing higher concentrations of several amino acids and dicarboxylic fatty acids. These results are consistent with prior findings where changes in neurotransmitter systems and fatty acid metabolism were shown to associate with the depressed state. It is unclear what role heart failure may have played in these differing concentrations.
代谢组学是一种新兴的技术,它可以让研究人员对组成代谢组的数百种小分子进行特征描述。我们试图确定抑郁和非抑郁参与者之间的代谢差异。样本包括一组患有心力衰竭的抑郁患者,他们参加了一项由 NIMH 支持的临床试验,比较舍曲林与心力衰竭抑郁患者的安慰剂,以及一组非抑郁的心力衰竭患者作为对照组。从参与者在基线时提供的血液样本中获取血浆,并在 GC-MS 和 LC-MS 代谢组学平台上对样本进行生物化学特征分析。有许多生物化学物质在组间存在显著差异,抑郁组参与者的几种氨基酸和二羧酸脂肪酸浓度较高。这些结果与先前的研究结果一致,其中显示神经递质系统和脂肪酸代谢的变化与抑郁状态有关。目前尚不清楚心力衰竭在这些不同浓度中可能扮演什么角色。