Kvasnička Aleš, Kotaška Karel, Friedecký David, Ježdíková Karolína, Brumarová Radana, Hnát Tomáš, Kala Petr
Laboratory for Inherited Metabolic Disorders, Department of Clinical Biochemistry, University Hospital, Olomouc, Czech Republic.
Faculty of Medicine and Dentistry, Palacký University in Olomouc, Czech Republic.
Heliyon. 2024 Oct 30;10(21):e39979. doi: 10.1016/j.heliyon.2024.e39979. eCollection 2024 Nov 15.
Heart failure (HF) is becoming an increasingly prevalent issue, particularly among the elderly population. Lipids are closely associated with cardiovascular disease (CVD) pathology. Lipidomics as a comprehensive profiling tool is showing to be promising in the prediction of events and mortality due to CVD as well as identifying novel biomarkers.
In this study, eicosanoids and lipid profiles were measured in order to predict survival in patients with de novo or acute decompensated HF. Our study included 50 patients (16 females, mean age 73 years and 34 males, mean age 71 years) with de novo or acute decompensated chronic HF with a median follow-up of 7 months. Lipids were semiquantified using targeted lipidomic liquid chromatography-mass spectrometry (LC-MS/MS) analysis. Eicosanoid concentrations were determined using a commercially available sandwich ELISA assay.
From 736 lipids and 3 eicosanoids, 39 significant lipids were selected (by using the Mann-Whitney test after Benjamini-Hochberg correction) with the highest number of representatives belonging to the polyunsaturated (PUFA) phosphatidylcholines (PC). PC 42:10 (p = 1.44 × 10) was found to be the most statistically significantly elevated in the surviving group with receiver operating characteristics of AUC = 0.84 (p = 3.24 × 10). A multivariate supervised discriminant analysis based on the aforementioned lipid panel enabled the classification of the groups of surviving and non-surviving patients with 90 % accuracy.
In the present study we describe a trend in PUFA esterified in PC that were systematically increased in surviving patients with HF. This trend in low-abundant and rarely identified PUFA PC (mainly very long chain PUFA containing PC such as PC 42:10 or PC 40:9 containing FA 22:6, FA 20:5 and FA 20:4) suggests candidate biomarkers.
心力衰竭（HF）正成为一个日益普遍的问题，尤其是在老年人群中。脂质与心血管疾病（CVD）病理密切相关。脂质组学作为一种全面的分析工具，在预测CVD导致的事件和死亡率以及识别新型生物标志物方面显示出前景。
在本研究中，测量类花生酸和脂质谱以预测初发或急性失代偿性HF患者的生存率。我们的研究纳入了50例患者（16例女性，平均年龄73岁；34例男性，平均年龄71岁），他们患有初发或急性失代偿性慢性HF，中位随访时间为7个月。使用靶向脂质组学液相色谱 - 质谱联用（LC-MS/MS）分析对脂质进行半定量。使用市售的夹心ELISA测定法测定类花生酸浓度。
从736种脂质和3种类花生酸中，选择了39种显著脂质（在Benjamini-Hochberg校正后使用曼 - 惠特尼检验），其中代表数量最多的属于多不饱和（PUFA）磷脂酰胆碱（PC）。发现PC 42:10（p = 1.44×10）在存活组中统计学上显著升高，受试者工作特征曲线下面积（AUC）= 0.84（p = 3.24×10）。基于上述脂质组的多变量监督判别分析能够以90％的准确率对存活和非存活患者组进行分类。
在本研究中，我们描述了PC中酯化的PUFA的一种趋势，即在存活的HF患者中系统性升高。这种低丰度且很少鉴定的PUFA PC（主要是含有FA 22:6、FA 20:5和FA 20:4的非常长链PUFA的PC，如PC 42:10或PC 40:9）的趋势提示了候选生物标志物。
