The value of serum metabolomics analysis in predicting the response to cardiac resynchronization therapy
Meng-Ruo ZHU
Zibire Fulati
Yang LIU
Wen-Shuo WANG
Qian WU
Yan-Gang SU
Hai-Yan CHEN
Xian-Hong SHU
摘要：Objective To construct a prediction model based on metabolic profiling for predicting the response to cardiac resynchronization therapy (CRT).Methods Peripheral venous (PV) and coronary sinus (CS) blood samples were collected from 25 patients with heart failure (HF) at the time of CRT implantation,and PV blood samples were obtained from ten healthy controls.The serum samples were analyzed by liquid chromatography-mass spectrometry (LC-MS).As per the clinical and echocardiographic assessment at the 6-month follow-up,the HF patients were categorized as CRT responders and non-responders.Results HF patients had altered serum metabolomic profiles that were significantly different from those of the healthy controls.Differential metabolites were also observed between CRT responders and non-responders.A prediction model for CRT response (CRT-Re) was constructed using the concentration levels of the differential metabolites,L-arginine and taurine.The optimal cutoff value of the CRT-Re model was found to be 0.343 by ROC analysis (sensitivity,88.2％;specificity,87.5％;Area under curve (AUC) =0.897,P =0.002).The concentration levels of the differential metabolites,L-arginine and lysyl-gamma-glutarnate,in PV serum were significantly correlated with that in CS serum (r =0.945 and 0.680,respectively,all P ＜ 0.001).Conclusions Our results suggest that serum-based metabolic profiling may be a potential complementary screening tool for predicting the outcome of CRT.
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论文发表日期：2019-01-01
在线出版日期：2025-08-15（本平台首次上网日期，不代表文献的发表时间）
页数：11( 529-539 )
英文信息