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A metabolomic study for chronic heart failure patients based on a dried blood spot mass spectrometry approach

机译：基于干血斑质谱法的慢性心力衰竭患者的代谢组研究

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Objective : a dried blood spot (DBS) method integrated with direct infusion mass spectrometry (MS) focused on a metabolomic analysis was applied to detect and compare the difference of metabolites between the heart failure (HF) patients and non-HF patients in order to facilitate the early detection of heart failures, provide targeted intervention and offer prognostic insights. Methods : the method we used was an untargeted metabolic approach. The dry blood spot mass spectrometry (DBS) was used to analyze 23 types of amino acids and 26 types of carnitine in blood samples. In the current study, 49 metabolites were selected to establish the PLS-DA model to compare the differences between the 117 HF patients and 118 non-HF patients, which inclined to detect the difference between the two groups. Multiple algorithms were run for selecting different metabolites as potential biomarkers. Ten-fold cross validation method was used to verify and evaluate the selected potential biomarkers. Results : through significant analysis of the microarrays (SAM) and analysis of 9 parameters, 8 metabolites showed significant discrepancies between the HF and non-HF groups. Among these metabolites, the levels of 5 metabolites were increased, and the other 3 metabolites were decreased in the HF group compared with the non-HF group. However, 7 metabolites including Asn, C0, C14, C4DC, C5-OH, C6 and Glu were selected to distinguish the HF group from the non-HF group with specificity and sensitivity of 0.8475 and 0.8974, respectively. Conclusion : metabolomic study for chronic heart failure (CHF) patients based on the dried blood spot mass spectrometry approach would be beneficial to understand the metabolic pathway of HF, and probably work as biomarkers to predict the prognosis of HF and provide the basis for an individualized treatment.
机译：目的：施加与直接输注质谱（MS）集成的干血斑（DBS）方法，其集中于代谢组分分析，检测并比较心力衰竭（HF）患者和非HF患者之间代谢物的差异，以便促进早期发现心脏失效，提供有针对性的干预并提供预后的见解。方法：我们使用的方法是一个无明确的代谢方法。干血斑质谱（DBS）用于分析23种氨基酸和26种血液样品中的肉碱。在目前的研究中，选择49个代谢物以建立PLS-DA模型，以比较117患者和118名非HF患者之间的差异，倾向于检测两组之间的差异。运行多种算法以选择不同的代谢物作为潜在的生物标志物。用于验证和评估所选潜在的生物标志物的十倍交叉验证方法。结果：通过对微阵列（SAM）的显着分析和9个参数分析，8个代谢物在HF和非HF组之间显示出显着的差异。在这些代谢物中，与非HF组相比，HF组中，5种代谢物的水平增加，并且在HF组中降低了其他3代谢物。然而，选择了7种代谢物，包括ASN，CO，C14，C4DC，C5-OH，C6和Glu，以将HF组与0.8475和0.8974的特异性和敏感性区分开。结论：基于干血斑质谱法的慢性心力衰竭（CHF）患者的代谢组合研究将有利于了解HF的代谢途径，并且可能用作生物标志物，以预测HF的预后并为个性化提供基础。治疗。

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