Please use this identifier to cite or link to this item: https://doi.org/10.3390/biomedicines11030917
Title: Novel Oxidative Stress Biomarkers with Risk Prognosis Values in Heart Failure
Authors: Ng, Mei Li 
Ang, Xu
Yap, Kwan Yi
Ng, Jun Jie 
Goh, Eugene Chen Howe
Khoo, Benjamin Bing Jie
Richards, Arthur Mark 
Drum, Chester Lee 
Keywords: Science & Technology
Life Sciences & Biomedicine
Biochemistry & Molecular Biology
Medicine, Research & Experimental
Pharmacology & Pharmacy
Research & Experimental Medicine
oxidative stress
novel markers
heart failure
risk assessment
prognosis
surrogate markers
GLYCATION END-PRODUCTS
LOW-DENSITY-LIPOPROTEIN
SERUM URIC-ACID
PLASMA MYELOPEROXIDASE LEVELS
XANTHINE-OXIDASE INHIBITION
NADPH OXIDASE
NATRIURETIC PEPTIDE
DIASTOLIC FUNCTION
ADVERSE OUTCOMES
IN-VIVO
Issue Date: 1-Mar-2023
Publisher: MDPI
Citation: Ng, Mei Li, Ang, Xu, Yap, Kwan Yi, Ng, Jun Jie, Goh, Eugene Chen Howe, Khoo, Benjamin Bing Jie, Richards, Arthur Mark, Drum, Chester Lee (2023-03-01). Novel Oxidative Stress Biomarkers with Risk Prognosis Values in Heart Failure. BIOMEDICINES 11 (3). ScholarBank@NUS Repository. https://doi.org/10.3390/biomedicines11030917
Abstract: Oxidative stress (OS) is mediated by reactive oxygen species (ROS), which in cardiovascular and other disease states, damage DNA, lipids, proteins, other cellular and extra-cellular components. OS is both initiated by, and triggers inflammation, cardiomyocyte apoptosis, matrix remodeling, myocardial fibrosis, and neurohumoral activation. These have been linked to the development of heart failure (HF). Circulating biomarkers generated by OS offer potential utility in patient management and therapeutic targeting. Novel OS-related biomarkers such as NADPH oxidases (sNox2-dp, Nrf2), advanced glycation end-products (AGE), and myeloperoxidase (MPO), are signaling molecules reflecting pathobiological changes in HF. This review aims to evaluate current OS-related biomarkers and their associations with clinical outcomes and to highlight those with greatest promise in diagnosis, risk stratification and therapeutic targeting in HF.
Source Title: BIOMEDICINES
URI: https://scholarbank.nus.edu.sg/handle/10635/241779
ISSN: 2227-9059
DOI: 10.3390/biomedicines11030917
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