Literature DB >> 21934525

Metabolomics: a new era in cardiology?

Giuseppe Mercuro1, Pier P Bassareo, Martino Deidda, Christian Cadeddu, Luigi Barberini, Luigi Atzori.   

Abstract

The metabolome represents the collection of all metabolites in a biological cell, tissue, organ or organism, which are the end-products of cellular processes. Metabolomics is the systematic study of small-molecule metabolite profiles that specific cellular processes leave behind. RNA messenger gene expression data and proteomic analyses do not tell the whole story of what might be happening in a cell. Metabolic profiling, in turn, amplifies changes both in the proteome and the genome, and represents a more accurate approximation to the phenotype of an organism in health and disease. In this article, we have provided a description of metabolomics, in the presence of other, more familiar 'omics' disciplines, such as genomics and proteomics. In addition, we have reviewed the current rationale for metabolomics in cardiology, its basic methodology and the data actually available in human studies in this discipline. The discussed topics highlight the importance of being able to use the metabolomics information in order to understand disease mechanisms from a systems biology perspective as a noninvasive approach to diagnose, grade and treat cardiovascular diseases.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 21934525     DOI: 10.2459/JCM.0b013e32834a658f

Source DB:  PubMed          Journal:  J Cardiovasc Med (Hagerstown)        ISSN: 1558-2027            Impact factor:   2.160


  10 in total

1.  Cardiac resynchronization therapy induces adaptive metabolic transitions in the metabolomic profile of heart failure.

Authors:  Emirhan Nemutlu; Song Zhang; Yi-Zhou Xu; Andre Terzic; Li Zhong; Petras D Dzeja; Yong-Mei Cha
Journal:  J Card Fail       Date:  2015-04-22       Impact factor: 5.712

2.  Human metabolome associates with dietary intake habits among African Americans in the atherosclerosis risk in communities study.

Authors:  Yan Zheng; Bing Yu; Danny Alexander; Lyn M Steffen; Eric Boerwinkle
Journal:  Am J Epidemiol       Date:  2014-05-06       Impact factor: 4.897

3.  Metabolomic profile of patients with left ventricular assist devices: a pilot study.

Authors:  Filippo Consolo; Luigi Barberini; Claudia Fattuoni; Dmitry Grapov; Andrea Montisci; Federico Pappalardo
Journal:  Ann Cardiothorac Surg       Date:  2021-03

4.  The German National Cohort: aims, study design and organization.

Authors: 
Journal:  Eur J Epidemiol       Date:  2014-05-20       Impact factor: 8.082

5.  A Non-Targeted Liquid Chromatographic-Mass Spectrometric Metabolomics Approach for Association with Coronary Artery Disease: An Identification of Biomarkers for Depiction of Underlying Biological Mechanisms.

Authors:  Xian-Zhao Zhang; Su-Xia Zheng; Ya-Min Hou
Journal:  Med Sci Monit       Date:  2017-02-02

6.  The value of serum metabolomics analysis in predicting the response to cardiac resynchronization therapy.

Authors:  Meng-Ruo Zhu; Zibire Fulati; Yang Liu; Wen-Shuo Wang; Qian Wu; Yan-Gang Su; Hai-Yan Chen; Xian-Hong Shu
Journal:  J Geriatr Cardiol       Date:  2019-07       Impact factor: 3.327

7.  mTOR pathway in human cardiac hypertrophy caused by LEOPARD syndrome: a different role compared with animal models?

Authors:  Hao Cui; Lei Song; Changsheng Zhu; Ce Zhang; Bing Tang; Shengwei Wang; Guixin Wu; Yubao Zou; Xiaohong Huang; Rutai Hui; Shuiyun Wang; Jizheng Wang
Journal:  Orphanet J Rare Dis       Date:  2019-11-13       Impact factor: 4.123

8.  Integrative transcriptomic, proteomic, and machine learning approach to identifying feature genes of atrial fibrillation using atrial samples from patients with valvular heart disease.

Authors:  Yaozhong Liu; Fan Bai; Zhenwei Tang; Na Liu; Qiming Liu
Journal:  BMC Cardiovasc Disord       Date:  2021-01-28       Impact factor: 2.298

9.  Metabolomic approach to profile functional and metabolic changes in heart failure.

Authors:  Martino Deidda; Cristina Piras; Christian Cadeddu Dessalvi; Emanuela Locci; Luigi Barberini; Federica Torri; Federica Ascedu; Luigi Atzori; Giuseppe Mercuro
Journal:  J Transl Med       Date:  2015-09-12       Impact factor: 5.531

Review 10.  Metabolomic Approach to Redox and Nitrosative Reactions in Cardiovascular Diseases.

Authors:  Martino Deidda; Antonio Noto; Pier P Bassareo; Christian Cadeddu Dessalvi; Giuseppe Mercuro
Journal:  Front Physiol       Date:  2018-06-27       Impact factor: 4.566

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.