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Comet Assay as an Indirect Measure of Systemic Oxidative Stress
Published on: May 22, 2015
Measures of oxidative stress
1Department of Vascular Medicine, University of California, San Diego, 9350 Campus Point Drive, Cardiovascular Diseases, La Jolla, CA 92037-0975, USA. stsimikas@ucsd.edu
Clinics in Laboratory Medicine
|August 30, 2006
Summary
Oxidized low-density lipoprotein (OxLDL) and isoprostanes are promising biomarkers for predicting cardiovascular risk. Developing accurate in vivo oxidative stress markers is crucial for clinical medicine and cardiovascular event prediction.
Area of Science:
- Biochemistry
- Cardiovascular Medicine
- Biomarker Discovery
Background:
- Oxidative stress plays a key role in atherosclerosis.
- Current cardiovascular risk prediction models can be improved with more specific biomarkers.
- In vivo markers of oxidative stress are needed for accurate disease assessment.
Purpose of the Study:
- To review the pathophysiology of oxidized low-density lipoprotein (OxLDL) and isoprostanes as potential cardiovascular biomarkers.
- To describe the rationale and methodologies for measuring OxLDL and isoprostanes.
- To elucidate the role of these biomarkers in reflecting pathophysiology and predicting cardiovascular risk.
Main Methods:
- Review of pathophysiology of OxLDL and isoprostanes.
- Description of current assay methodologies for OxLDL and isoprostanes, including their pros and cons.
- Analysis of clinical investigations (epidemiological, case-control, prospective studies).
Main Results:
- OxLDL and isoprostanes show promise as plasma biomarkers for cardiovascular risk prediction.
- Existing methodologies for measuring these biomarkers have varying advantages and disadvantages.
- Clinical studies suggest these biomarkers reflect underlying pathophysiology and aid in risk stratification.
Conclusions:
- In vivo oxidative stress markers like OxLDL and isoprostanes are valuable for cardiovascular risk assessment.
- Further development and validation of assays are needed for clinical application.
- These biomarkers hold significant potential for improving cardiovascular medicine and predicting clinical events.

