Serum lipidomics reveals phosphatidylethanolamine and phosphatidylcholine disorders in patients with myocardial infarction and post-myocardial infarction-heart failure

Author:

Rong Jidong1,He Tianmu2,Zhang Jianyong3,Bai Zhixun4,Shi Bei1

Affiliation:

1. Affiliated Hospital of Zunyi Medical University

2. Guizhou medical University

3. Zunyi medical University

4. The Second Affiliated Hospital of Zunyi Medical University

Abstract

Abstract Background: Myocardial infarction (MI) and post-MI-heart failure (pMIHF) are major causes of death worldwide, however, the underlying mechanisms underlying pMIHF from MI are not well understood. The study sought to characterize early lipid biomarkers for the development of pMIHF disease. Methods: Serum samples of 18 MI and 24 pMIHF patients were collected from the Affiliated Hospital of Zunyi Medical University and analyzed using lipidomics with Ultra High Performance Liquid Chromatography and Q-Exactive High Resolution Mass Spectrometer. All serum samples will be tested by the Official partial least squares discriminant analysis (OPLS-DA) to find the different expression of metabolites between the two groups. Furthermore, the metabolic biomarkers of pMIHF were screened using subject operating characteristic (ROC) curve and correlation analysis. Results: The average age of 18 MI and 24 pMIHF participants is 57.83 ± 9.28 and 64.38 ± 10.89 years, respectively. The B-type natriuretic peptide (BNP) level was 328.5 ± 299.842 and 3535.96 ± 3025 pg/mL, TC was 5.59 ± 1.51 and 4.69 ± 1.13 mmol/L, and BUN was 5.24 ± 2.15 and 7.20 ± 3.49 mmol/L, respectively. In addition, 88 lipids, including 76 (86.36%) down-regulated lipids, were identified between the patients with MI and pMIHF. ROC analysis showed thatphosphatidylethanolamine (PE) (12:1e_22:0) (area under the curve [AUC] = 0.9306) and phosphatidylcholine (PC) (22:4_14:1) (AUC = 0.8380) were potential biomarkers. Correlation analysis showed that PE (12:1e_22:0) was inversely correlated with BNP and BUN, but positively correlated with TC. In contrast, the PC (22:4_14:1) was positively associated with both the BNP and the BUN, and was negatively associated with the TC. Conclusions: Several lipid biomarkers were identified that could potentially be used to predict and diagnose patients with pMIHF. PE (12:1e_22:0) and PC (22:4_14:1) could sufficiently differentiate between patients with MI and pMIHF.

Publisher

Research Square Platform LLC

Reference45 articles.

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