Metabolic Profiling Identifies 1-MetHis and 3-IPA as Potential Diagnostic Biomarkers for Patients With Acute and Chronic Heart Failure With Reduced Ejection Fraction

被引：1

作者：

Kretzschmar, Tom ^{[2
]}

Westphal, Julian ^{[2
]}

Neugebauer, Sophie ^{[3
]}

Wu, Jasmine M. F. ^{[2
]}

Zeller, Max ^{[2
]}

Bogoviku, Jurgen ^{[2
]}

Bekhite, Mohamed M. ^{[2
]}

Bekfani, Tarek ^{[4
]}

Schlattmann, Peter ^{[5
]}

Kiehntopf, Michael ^{[3
]}

Franz, Marcus ^{[2
]}

Schulze, P. Christian ^{[1
,2
]}

机构：

[1] Univ Hosp Jena, Dept Internal Med 1, Div Cardiol, Klinikum 1, D-07747 Jena, Germany

[2] Univ Hosp Jena, Dept Internal Med 1, Div Cardiol, Jena, Germany

[3] Univ Hosp Jena, Inst Clin Chem & Lab Diagnost, Jena, Germany

[4] Univ Hosp Magdeburg, Dept Internal Med 1, Div Cardiol Angiol & Intens Med Care, Magdeburg, Germany

[5] Jena Univ Hosp, Ctr Sepsis Control & Care, Dept Med Stat Comp Sci & Data Sci, Jena, Germany

来源：

CIRCULATION-HEART FAILURE | 2024年 / 17卷 / 01期

关键词：

biomarkers; heart failure; kynurenine; metabolome; phenotype; DYSFUNCTION;

D O I：

10.1161/CIRCHEARTFAILURE.123.010813

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

BACKGROUND:Metabolomics has become a valuable tool for identifying potential new biomarkers and metabolic profiles. It has the potential to improve the diagnosis and prognosis of different phenotypes of heart failure. To generate a distinctive metabolic profile, we assessed and compared the metabolic phenotypes of patients with acute decompensated heart failure (ADHF), patients with chronic heart failure (CHF), and healthy controls.METHODS:Plasma metabolites were analyzed by liquid-chromatography mass spectrometry/mass spectrometry and the MxP Quant 500 kit in 15 patients with ADHF, 50 patients with CHF (25 with dilated cardiomyopathy, 25 with ischemic cardiomyopathy), and 13 controls.RESULTS:Of all metabolites identified to be significantly altered, 3-indolepropionic acid and 1-methyl histidine showed the highest concentration differences in ADHF and CHF compared with control. Area under the curve-receiver operating characteristic analysis showed an area under the curve >= 0.8 for 3-indolepropionic acid and 1-methyl histidine, displaying good discrimination capabilities between control and patient cohorts. Additionally, symmetrical dimethylarginine (mean, 1.97 +/- 0.61 [SD]; P=0.01) was identified as a suitable biomarker candidate for ADHF and kynurenine (mean, 1.69 +/- 0.39 [SD]; P=0.009) for CHF when compared with control, both demonstrating an area under the curve >= 0.85.CONCLUSIONS:Our study provides novel insights into the metabolic differences between ADHF and CHF and healthy controls. We here identify new metabolites for potential diagnostic and prognostic purposes.

引用

页数：13