Literature DB >> 27323342

Metabolomics - A wide-open door to personalized treatment in chronic heart failure?

M Marcinkiewicz-Siemion1, M Ciborowski2, A Kretowski2, W J Musial1, K A Kaminski3.   

Abstract

Heart failure (HF) is a complex syndrome representing a final stage of various cardiovascular diseases. Despite significant improvement in the diagnosis and treatment (e.g. ACE-inhibitors, β-blockers, aldosterone antagonists, cardiac resynchronization therapy) of the disease, prognosis of optimally treated patients remains very serious and HF mortality is still unacceptably high. Therefore there is a strong need for further exploration of novel analytical methods, predictive and prognostic biomarkers and more personalized treatment. The metabolism of the failing heart being significantly impaired from its baseline state may be a future target not only for biomarker discovery but also for the pharmacologic intervention. However, an assessment of a particular, isolated metabolite or protein cannot be fully informative and makes a correct interpretation difficult. On the other hand, metabolites profile analysis may greatly assist investigator in an interpretation of the altered pathway dynamics, especially when combined with other lines of evidence (e.g. metabolites from the same pathway, transcriptomics, proteomics). Despite many prior studies on metabolism, the knowledge of peripheral and cardiac pathophysiological mechanisms responsible for the metabolic imbalance and progression of the disease is still insufficient. Metabolomics enabling comprehensive characterization of low molecular weight metabolites (e.g. lipids, sugars, organic acids, amino acids) that reflects the complete metabolic phenotype seems to be the key for further potential improvement in HF treatment (diet-based or biochemical-based). Will this -omics technique one day open a door to easy patients identification before they have a heart failure onset or its decompensation?
Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Cardiac metabolism; Heart failure; High throughput techniques; Metabolic pathways; Metabolites; Metabolomics

Mesh:

Year:  2016        PMID: 27323342     DOI: 10.1016/j.ijcard.2016.06.022

Source DB:  PubMed          Journal:  Int J Cardiol        ISSN: 0167-5273            Impact factor:   4.164


  8 in total

Review 1.  Challenges in Metabolomics-Based Tests, Biomarkers Revealed by Metabolomic Analysis, and the Promise of the Application of Metabolomics in Precision Medicine.

Authors:  Alessandro Di Minno; Monica Gelzo; Marianna Caterino; Michele Costanzo; Margherita Ruoppolo; Giuseppe Castaldo
Journal:  Int J Mol Sci       Date:  2022-05-06       Impact factor: 6.208

2.  Functional Genomics, Genetics, and Bioinformatics 2016.

Authors:  Youping Deng; Hongwei Wang; Ryuji Hamamoto; Shiwei Duan; Mehdi Pirooznia; Yongsheng Bai
Journal:  Biomed Res Int       Date:  2016-11-22       Impact factor: 3.411

3.  LC-MS-Based Metabolic Fingerprinting of Aqueous Humor.

Authors:  Karolina Pietrowska; Diana Anna Dmuchowska; Paulina Samczuk; Tomasz Kowalczyk; Pawel Krasnicki; Malgorzata Wojnar; Aleksandra Skowronska; Zofia Mariak; Adam Kretowski; Michal Ciborowski
Journal:  J Anal Methods Chem       Date:  2017-01-05       Impact factor: 2.193

4.  Proton Nuclear Magnetic Resonance (¹H-NMR)-Based Metabolomic Evaluation of Human Renal Allografts from Donations After Circulatory Death.

Authors:  Zijie Wang; Haiwei Yang; Chunchun Zhao; Jifu Wei; Junsong Wang; Zhijian Han; Jun Tao; Zhen Xu; Xiaobin Ju; Ruoyun Tan; Min Gu
Journal:  Med Sci Monit       Date:  2017-11-17

5.  Serum Concentrations of Citrate, Tyrosine, 2- and 3- Hydroxybutyrate are Associated with Increased 3-Month Mortality in Acute Heart Failure Patients.

Authors:  Sarah Stryeck; Michaela Gastrager; Vesna Degoricija; Matias Trbušić; Ines Potočnjak; Bojana Radulović; Gudrun Pregartner; Andrea Berghold; Tobias Madl; Saša Frank
Journal:  Sci Rep       Date:  2019-05-01       Impact factor: 4.379

6.  Machine-learning facilitates selection of a novel diagnostic panel of metabolites for the detection of heart failure.

Authors:  M Marcinkiewicz-Siemion; M Kaminski; M Ciborowski; K Ptaszynska-Kopczynska; A Szpakowicz; A Lisowska; M Jasiewicz; E Tarasiuk; A Kretowski; B Sobkowicz; K A Kaminski
Journal:  Sci Rep       Date:  2020-01-10       Impact factor: 4.379

7.  Caffeoylxanthiazonoside exerts cardioprotective effects during chronic heart failure via inhibition of inflammatory responses in cardiac cells.

Authors:  Bin Yang; Fei Wang; Huili Cao; Guifang Liu; Yuean Zhang; Ping Yan; Bao Li
Journal:  Exp Ther Med       Date:  2017-08-31       Impact factor: 2.447

8.  Metabolic Signature of Arrhythmogenic Cardiomyopathy.

Authors:  Chiara Volani; Johannes Rainer; Vinicius Veri Hernandes; Viviana Meraviglia; Peter Paul Pramstaller; Sigurður Vidir Smárason; Giulio Pompilio; Michela Casella; Elena Sommariva; Giuseppe Paglia; Alessandra Rossini
Journal:  Metabolites       Date:  2021-03-25
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.