Liu Xiaojing, Sadhukhan Sushabhan, Sun Shengyi, Wagner Gregory R, Hirschey Matthew D, Qi Ling, Lin Hening, Locasale Jason W
From the ‡Division of Nutritional Sciences, Cornell University, Ithaca, New York 14853;
§Department of Chemistry and Chemical Biology, Cornell University, Ithaca, New York 14853;
Mol Cell Proteomics. 2015 Jun;14(6):1489-500. doi: 10.1074/mcp.M114.044859. Epub 2015 Mar 20.
The availability of acyl-Coenzyme A (acyl-CoA) thioester compounds affects numerous cellular functions including autophagy, lipid oxidation and synthesis, and post-translational modifications. Consequently, the acyl-CoA level changes tend to be associated with other metabolic alterations that regulate these critical cellular functions. Despite their biological importance, this class of metabolites remains difficult to detect and quantify using current analytical methods. Here we show a universal method for metabolomics that allows for the detection of an expansive set of acyl-CoA compounds and hundreds of other cellular metabolites. We apply this method to profile the dynamics of acyl-CoA compounds and corresponding alterations in metabolism across the metabolic network in response to high fat feeding in mice. We identified targeted metabolites (>50) and untargeted features (>1000) with significant changes (FDR < 0.05) in response to diet. A substantial extent of this metabolic remodeling exhibited correlated changes in acyl-CoA metabolism with acyl-carnitine metabolism and other features of the metabolic network that together can lead to the discovery of biomarkers of acyl-CoA metabolism. These findings show a robust acyl-CoA profiling method and identify coordinated changes of acyl-CoA metabolism in response to nutritional stress.
酰基辅酶A(acyl-CoA)硫酯化合物的可用性影响众多细胞功能,包括自噬、脂质氧化与合成以及翻译后修饰。因此,酰基辅酶A水平的变化往往与调节这些关键细胞功能的其他代谢改变相关。尽管它们具有生物学重要性,但使用当前的分析方法仍难以检测和定量这类代谢物。在此,我们展示了一种代谢组学通用方法,该方法能够检测大量的酰基辅酶A化合物以及数百种其他细胞代谢物。我们应用此方法来描绘酰基辅酶A化合物的动态变化以及小鼠高脂喂养后代谢网络中相应的代谢改变。我们鉴定出了响应饮食有显著变化(FDR < 0.05)的靶向代谢物(>50种)和非靶向特征(>1000种)。这种代谢重塑在很大程度上表现出酰基辅酶A代谢与酰基肉碱代谢以及代谢网络的其他特征之间的相关变化,这些共同作用可导致发现酰基辅酶A代谢的生物标志物。这些发现展示了一种强大的酰基辅酶A分析方法,并确定了酰基辅酶A代谢在响应营养应激时的协同变化。