Metabolic profiling in new on-set non-ischemic dilated cardiomyopathy

Abstract Background Dilated cardiomyopathy is known as the most common cardiomyopathy with no therapy directly targeted the pathogenesis. The metabolic is a promising tool for better understanding of the difference in metabolites between health and disease and offering therapeutic targets, but the understanding of the specific metabolic processes distinguishing new on-set DCM from normal individuals remains insufficient. Aim To investigate the targeted blood metabolic profiling distinctions between new on-set Dilated Cardiomyopathy (DCM) and normal group. Methods We analyzed 231 plasma metabolites by liquid chromatography ⁄ mass spectroscopy and gas chromatography ⁄ mass spectroscopy in 48 patients with new on-set DCM(the duration of DCM diagnosis was less than 6 month before enrollment) and 48 age-, sex- and body mass index-matched normal controls. Results Twenty-four metabolites were significantly different between DCM and control individuals when adjusted by sex, age and smoking [false discovery rate (FDR) < 0.05]. Plasma levels of guanidinoacetate, hypoxanthin were reduced while levels of 6-methyladenosine, 1-methyladenosine and others were increased in patients with DCM when compared to controls (figure 1), while Taurine, L-kynurenine and Methylmalonate were the most significant metabolites between the two groups (figure 2) . Conclusions Metabolic processes were strongly enhanced in DCM and may be used to distinguish new on-set DCM from normal individuals. And it identififies biologically active metabolites that could serve as markers of New-onset DCM and impart protective or harmful effects on cardiac structure and function.

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Publication Details

Journal
European Heart Journal
Published
2024-10-01
DOI
https://doi.org/10.1093/eurheartj/ehae666.1152
Primary Topic
Cardiovascular Function and Risk Factors
Type
article
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article

Metabolic profiling in new on-set non-ischemic dilated cardiomyopathy

Zhe Yang, Xin Chen, Yu Shchelkunova K, Qiongdan Zhang
European Heart Journal
Cardiovascular Function and Risk Factors
article

Metabolic profiling in new on-set non-ischemic dilated cardiomyopathy

Zhe Yang, Xin Chen, Yu Shchelkunova K, Qiongdan Zhang
article en

Abstract

Abstract Background Dilated cardiomyopathy is known as the most common cardiomyopathy with no therapy directly targeted the pathogenesis. The metabolic is a promising tool for better understanding of the difference in metabolites between health and disease and offering therapeutic targets, but the understanding of the specific metabolic processes distinguishing new on-set DCM from normal individuals remains insufficient. Aim To investigate the targeted blood metabolic profiling distinctions between new on-set Dilated Cardiomyopathy (DCM) and normal group. Methods We analyzed 231 plasma metabolites by liquid chromatography ⁄ mass spectroscopy and gas chromatography ⁄ mass spectroscopy in 48 patients with new on-set DCM(the duration of DCM diagnosis was less than 6 month before enrollment) and 48 age-, sex- and body mass index-matched normal controls. Results Twenty-four metabolites were significantly different between DCM and control individuals when adjusted by sex, age and smoking [false discovery rate (FDR) < 0.05]. Plasma levels of guanidinoacetate, hypoxanthin were reduced while levels of 6-methyladenosine, 1-methyladenosine and others were increased in patients with DCM when compared to controls (figure 1), while Taurine, L-kynurenine and Methylmalonate were the most significant metabolites between the two groups (figure 2) . Conclusions Metabolic processes were strongly enhanced in DCM and may be used to distinguish new on-set DCM from normal individuals. And it identififies biologically active metabolites that could serve as markers of New-onset DCM and impart protective or harmful effects on cardiac structure and function.

European Heart JournalVol. 45(Supplement_1)
Sichuan University (CN), West China Hospital of Sichuan University (CN)
Good health and well-being
Openalex Percentile: Top 67%
Cardiovascular Function and Risk Factors
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