Literature DB >> 28007146

The Emerging Role of Metabolomics in the Diagnosis and Prognosis of Cardiovascular Disease.

John R Ussher1, Sammy Elmariah2, Robert E Gerszten3, Jason R B Dyck4.   

Abstract

Perturbations in cardiac energy metabolism are major contributors to a number of cardiovascular pathologies. In addition, comorbidities associated with cardiovascular disease (CVD) can alter systemic and myocardial metabolism, often contributing to the worsening of cardiac function and health outcomes. State-of-the-art metabolomic technologies give us the ability to measure thousands of metabolites in biological fluids or biopsies, providing us with a metabolic fingerprint of individual patients. These metabolic profiles may serve as diagnostic and/or prognostic tools that have the potential to significantly alter the management of CVD. Herein, the authors review how metabolomics can assist in the interpretation of perturbed metabolic processes, and how this has improved our ability to understand the pathology of ischemic heart disease, atherosclerosis, and heart failure. Taken together, the integration of metabolomics with other "omics" platforms will allow us to gain insight into pathophysiological interactions of metabolites, proteins, genes, and disease states, while advancing personalized medicine.
Copyright © 2016 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  diabetes mellitus; diagnostics; energy metabolism; heart failure; ischemic heart disease; obesity

Mesh:

Substances:

Year:  2016        PMID: 28007146     DOI: 10.1016/j.jacc.2016.09.972

Source DB:  PubMed          Journal:  J Am Coll Cardiol        ISSN: 0735-1097            Impact factor:   24.094


  87 in total

1.  Integrated analysis of genomics, longitudinal metabolomics, and Alzheimer's risk factors among 1,111 cohort participants.

Authors:  Burcu F Darst; Qiongshi Lu; Sterling C Johnson; Corinne D Engelman
Journal:  Genet Epidemiol       Date:  2019-05-18       Impact factor: 2.135

2.  Peroxisome proliferator-activated receptor A/G reprogrammes metabolism associated with lipid accumulation in macrophages.

Authors:  Guozhu Ye; Han Gao; Yi Lin; Dongxiao Ding; Xu Liao; Han Zhang; Yulang Chi; Sijun Dong
Journal:  Metabolomics       Date:  2019-03-04       Impact factor: 4.290

3.  Untargeted metabolomics identifies trimethyllysine, a TMAO-producing nutrient precursor, as a predictor of incident cardiovascular disease risk.

Authors:  Xinmin S Li; Zeneng Wang; Tomas Cajka; Jennifer A Buffa; Ina Nemet; Alex G Hurd; Xiaodong Gu; Sarah M Skye; Adam B Roberts; Yuping Wu; Lin Li; Christopher J Shahen; Matthew A Wagner; Jaana A Hartiala; Robert L Kerby; Kymberleigh A Romano; Yi Han; Slayman Obeid; Thomas F Lüscher; Hooman Allayee; Federico E Rey; Joseph A DiDonato; Oliver Fiehn; W H Wilson Tang; Stanley L Hazen
Journal:  JCI Insight       Date:  2018-03-22

4.  NMR plasma metabolomics study of patients overcoming acute myocardial infarction: in the first 12 h after onset of chest pain with statistical discrimination towards metabolomic biomarkers.

Authors:  M Petras; D Kalenska; M Samos; T Bolek; M Sarlinova; P Racay; E Halasova; O Strbak; J Stasko; L Musak; M Skorvanova; E Baranovicova
Journal:  Physiol Res       Date:  2020-09-09       Impact factor: 1.881

5.  Discovery of potential biomarkers for human atherosclerotic abdominal aortic aneurysm through untargeted metabolomics and transcriptomics.

Authors:  Lei Ji; Siliang Chen; Guangchao Gu; Wei Wang; Jinrui Ren; Fang Xu; Fangda Li; Jianqiang Wu; Dan Yang; Yuehong Zheng
Journal:  J Zhejiang Univ Sci B       Date:  2021 Sept 15       Impact factor: 3.066

Review 6.  Metabolic Biomarkers in Heart Failure.

Authors:  Chonyang L Albert; W H Wilson Tang
Journal:  Heart Fail Clin       Date:  2018-01       Impact factor: 3.179

7.  Serum Metabolomics and Incidence of Atrial Fibrillation (from the Atherosclerosis Risk in Communities Study).

Authors:  Alvaro Alonso; Bing Yu; Yan V Sun; Lin Y Chen; Laura R Loehr; Wesley T O'Neal; Elsayed Z Soliman; Eric Boerwinkle
Journal:  Am J Cardiol       Date:  2019-03-18       Impact factor: 2.778

Review 8.  Metabolomics in chronic pain research.

Authors:  Shweta Teckchandani; G A Nagana Gowda; Daniel Raftery; Michele Curatolo
Journal:  Eur J Pain       Date:  2020-11-05       Impact factor: 3.931

9.  Data Processing Optimization in Untargeted Metabolomics of Urine Using Voigt Lineshape Model Non-Linear Regression Analysis.

Authors:  Kristina E Haslauer; Philippe Schmitt-Kopplin; Silke S Heinzmann
Journal:  Metabolites       Date:  2021-04-29

10.  Cell-Type-Specific Metabolic Profiling Achieved by Combining Desorption Electrospray Ionization Mass Spectrometry Imaging and Immunofluorescence Staining.

Authors:  Xin Yan; Xiaoai Zhao; Zhenpeng Zhou; Andrew McKay; Anne Brunet; Richard N Zare
Journal:  Anal Chem       Date:  2020-09-17       Impact factor: 6.986

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.