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Coronary Progenitor Cells and Soluble Biomarkers in Cardiovascular Prognosis after Coronary Angioplasty
Published on: January 28, 2020
Inflammatory biomarkers for predicting cardiovascular disease.
Lee Stoner1, Adam A Lucero, Barry R Palmer
1School of Sport and Exercise, Massey University, Wellington, New Zealand.
Clinical Biochemistry
|June 13, 2013
Summary
Cardiovascular disease (CVD) involves complex inflammation and oxidative stress pathways. This review details inflammatory and oxidative stress biomarkers to assess CVD risk and guide treatment strategies.
Area of Science:
- Biochemistry
- Pathology
- Clinical Medicine
Background:
- Cardiovascular disease (CVD) pathology is intricate, involving inflammation and oxidative stress.
- Biomarkers for inflammation and oxidative stress aid in risk identification, treatment monitoring, and drug development for CVD.
Purpose of the Study:
- To review existing and emerging biomarkers related to inflammation and oxidative stress in CVD.
- To discuss the functions and prognostic value of these biomarkers.
Main Methods:
- Literature review of inflammatory biomarkers (cytokines, chemokines) and oxidative stress/antioxidant biomarkers.
- Analysis of biomarker functions and prognostic data.
Main Results:
- No single biomarker can accurately estimate absolute CVD risk due to disease complexity.
- Different biomarkers offer varying prognostic information and are suited for specific cardiovascular events.
Conclusions:
- A comprehensive set of biomarkers is crucial for understanding the specific nature of cardiovascular events.
- This review provides an overview of key biomarkers and their clinical relevance in CVD management.
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