Literature DB >> 33553267

Characteristics of Blood Metabolic Profile in Coronary Heart Disease, Dilated Cardiomyopathy and Valvular Heart Disease Induced Heart Failure.

Chang Liu1, Ruihua Li2, Yang Liu1, Zhenguo Li2, Yujiao Sun1, Peiyuan Yin1,3, Rihong Huang1.   

Abstract

Purpose: Metabolic impairment is one key contributor to heart failure (HF) pathogenesis and progression. The major causes of HF, coronary heart disease (CHD), dilated cardiomyopathy (DCM), and valvular heart disease (VHD) remains poorly characterized in patients with HF from the view of metabolic profile. We sought to determine metabolic differences in CHD-, VHD-, and DCM-induced HF patients and identify significantly altered metabolites and their correlations. Procedure: In this study, a total of 96 HF cases and 97 controls were enrolled. The contents of 23 amino acids and 26 carnitines in fasting plasma were measured by a targeted liquid chromatography and mass spectrometry (LC-MS) approach.
Results: Nine metabolites (Histidine, Arginine, Citrulline, Glutamine, Valine, hydroxyhexadecenyl-carnitine, acylcarnitine C22, hydroxytetradecanoyl-carnitine, and carnitine) were found to be related with the occurrence of HF. Arginine, Glutamine and hydroxytetradecanoyl-carnitine could effectively distinguish CHD and DCM patients, and hydroxytetradecanoyl-carnitine and aspartic acid were able to classify CHD and VHD cohorts.
Conclusion: This study indicated that circulating amino acids and long-chain acylcarnitine levels were closely associated with progression of heart failure. Monitoring these metabolic alterations by LC-MS may help the differentiation of CHD, VHD, and DCM in the early stage, and provide new diagnostics targets or therapeutic interventions.
Copyright © 2021 Liu, Li, Liu, Li, Sun, Yin and Huang.

Entities:  

Keywords:  LC-MS; biomarker; heart failure; metabolism; metabolomics

Year:  2021        PMID: 33553267      PMCID: PMC7856915          DOI: 10.3389/fcvm.2020.622236

Source DB:  PubMed          Journal:  Front Cardiovasc Med        ISSN: 2297-055X


  75 in total

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Journal:  Nat Rev Cardiol       Date:  2017-09-21       Impact factor: 32.419

4.  Metabolic disturbances identified in plasma are associated with outcomes in patients with heart failure: diagnostic and prognostic value of metabolomics.

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5.  Inhibition of endothelial nitric oxide generation by low-density lipoprotein is partially prevented by L-arginine and L-ascorbate.

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6.  Quantification of L-arginine, asymmetric dimethylarginine and symmetric dimethylarginine in human plasma: a step improvement in precision by stable isotope dilution mass spectrometry.

Authors:  Jens Martens-Lobenhoffer; Stefanie M Bode-Böger
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2012-07-31       Impact factor: 3.205

7.  Vascular endothelial cells synthesize nitric oxide from L-arginine.

Authors:  R M Palmer; D S Ashton; S Moncada
Journal:  Nature       Date:  1988-06-16       Impact factor: 49.962

8.  Prognostic Implications of Long-Chain Acylcarnitines in Heart Failure and Reversibility With Mechanical Circulatory Support.

Authors:  Tariq Ahmad; Jacob P Kelly; Robert W McGarrah; Anne S Hellkamp; Mona Fiuzat; Jeffrey M Testani; Teresa S Wang; Amanda Verma; Marc D Samsky; Mark P Donahue; Olga R Ilkayeva; Dawn E Bowles; Chetan B Patel; Carmelo A Milano; Joseph G Rogers; G Michael Felker; Christopher M O'Connor; Svati H Shah; William E Kraus
Journal:  J Am Coll Cardiol       Date:  2016-01-26       Impact factor: 24.094

9.  Epidemiology, pathophysiology and clinical outcomes for heart failure patients with a mid-range ejection fraction.

Authors:  Ashish Rastogi; Eric Novak; Anne E Platts; Douglas L Mann
Journal:  Eur J Heart Fail       Date:  2017-06-14       Impact factor: 15.534

Review 10.  Pathophysiology, diagnosis and treatment of tachycardiomyopathy.

Authors:  Claire A Martin; Pier D Lambiase
Journal:  Heart       Date:  2017-08-30       Impact factor: 5.994

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  2 in total

1.  Metabolic Impairment in Coronary Artery Disease: Elevated Serum Acylcarnitines Under the Spotlights.

Authors:  Joséphine Gander; Justin Carrard; Hector Gallart-Ayala; Rébecca Borreggine; Tony Teav; Denis Infanger; Flora Colledge; Lukas Streese; Jonathan Wagner; Christopher Klenk; Gilles Nève; Raphael Knaier; Henner Hanssen; Arno Schmidt-Trucksäss; Julijana Ivanisevic
Journal:  Front Cardiovasc Med       Date:  2021-12-16

2.  Weighted Gene Coexpression Network Analysis Identifies Crucial Genes Involved in Coronary Atherosclerotic Heart Disease.

Authors:  Jinli Bao
Journal:  Dis Markers       Date:  2022-08-02       Impact factor: 3.464

  2 in total

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