Inflammation and Procoagulation Biomarkers in Metabolic Syndrome
Author Information
Author(s): Kraja Aldi T, Province Michael A, Arnett Donna, Wagenknecht Lynne, Tang Weihong, Hopkins Paul N, Djoussé Luc, Borecki Ingrid B
Primary Institution: Washington University School of Medicine
Hypothesis
Do inflammation and procoagulation biomarkers contribute to the metabolic syndrome cluster?
Conclusion
PAI1 is an important risk factor for MetS, correlating significantly with most variables studied and demonstrating the greatest relative odds among the biomarkers.
Supporting Evidence
- Subjects in the top 75% quartile for PAI1 had a 6.9 greater odds of being classified with MetS.
- Significant associations were found for MCP1, CRP, IL6, sICAM1, and fibrinogen with respect to MetS.
- PAI1 correlated significantly with all obesity and dyslipidemia variables.
- CRP had a high correlation with serum amyloid A and IL6.
Takeaway
This study found that certain proteins in the blood can help predict if someone has metabolic syndrome, which is a group of health problems that increase the risk of heart disease and diabetes.
Methodology
The study analyzed ten conventional MetS risk variables and ten biomarkers using correlations, factor analysis, hexagonal binning, and regression in the Family Heart Study.
Potential Biases
Participants using anti-hyperlipidemics may have confounded the results, as these medications affect biomarker concentrations.
Limitations
The study only included 10 biomarkers, and the sample size for some biomarker assays was smaller due to cost constraints.
Participant Demographics
The study included 2762 participants, primarily white, with a mean age of 57 years and 55% females.
Statistical Information
P-Value
p < 0.0001
Confidence Interval
[4.2–11.2]
Statistical Significance
p < 0.0001
Digital Object Identifier (DOI)
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