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Published on: December 28, 2011
Body-Wide Expression Profiles of Commonly Assessed Cardiac Biomarkers in a Large Cohort of Human Tissue Donors
Grant C O'Connell1,2, Christine G Smothers1, Jing Wang1,2
1School of Nursing, Case Western Reserve University, Cleveland, Ohio, USA.
Insights
Cardiac biomarker expression varies by tissue, impacting diagnostic accuracy. Cardiac Myosin Binding Protein C (cMyBP-C) shows promise, while others like sST2 and H-FABP may have confounding non-cardiac expression.
Area of Science:
- Cardiovascular Medicine
- Biomarker Discovery
- Genomics
Background:
- Blood biomarkers are crucial for diagnosing and managing cardiac conditions.
- Understanding tissue expression is key to biomarker properties and diagnostic utility.
Purpose of the Study:
- To comprehensively map the tissue expression of twelve cardiac biomarkers.
- To assess expression characteristics impacting diagnostic performance.
Main Methods:
- Utilized genome-wide mRNA sequencing data from 16,357 human tissue specimens.
- Quantified gene expression for twelve cardiac biomarkers (e.g., cTnT, cTnI, proANP, proBNP, sST2, cMyBP-C).
- Assessed cardiac abundance, heterogeneity, and enrichment, stratified by donor sex and age.
Main Results:
- Cardiac Myosin Binding Protein C (cMyBP-C) exhibited favorable spatial expression compared to troponins.
- Emerging biomarkers sST2 and H-FABP showed high non-cardiac expression, posing potential diagnostic challenges.
- Differences in expression profiles were noted between cTnI/cTnT and proANP/proBNP, potentially explaining discordant clinical measures.
- Age and sex influenced proANP and proBNP expression in cardiac tissue, supporting tiered diagnostic cutoffs.
Conclusions:
- Provides insights into the utility of emerging cardiac biomarkers.
- Offers mechanistic explanations for previously reported phenomena.
- Highlights potential diagnostic advantages, disadvantages, and use-caveats for cardiac biomarkers.
Introduction:
Blood biomarkers of myocardial damage or stress are routinely used to guide the diagnosis and management of both acute and chronic cardiac conditions. The circulating levels of these proteins are directly influenced by source tissue expression levels, and understanding where and to what degree they are expressed throughout the body can yield insights into their properties as biomarkers. Thus, in this descriptive study, we sought to comprehensively map the expression of twelve clinically established or emerging cardiac biomarkers across a broad spectrum of human tissues and comparatively assess expression characteristics that could impact diagnostic performance.
Methods:
Existing genome-wide mRNA sequencing data originating from 16,357 cardiac and noncardiac tissue specimens harvested from 946 donors were used to quantify the expression levels of genes coding for the twelve proteins of interest (cTnT, cTnI, H-FABP, proANP, proBNP, Mb, CKTOTAL, CK-MB, LDHTOTAL, LDH-1, sST2, and cMyBP-C). Cardiac abundance, atrioventricular heterogeneity, and cardiac enrichment were subsequently assessed and compared between genes, both in the total pool of specimens and subsets of specimens grouped by donor sex and age.
Results:
When considering the entirety of our analyses, the spatial expression characteristics of cMyBP-C, one of the emerging biomarkers we investigated, compared favorably to those of established biomarkers such as the troponins, suggesting that it may be a viable supplement to markers currently in clinical use. However, several other emerging biomarkers we assessed, including sST2 and H-FABP, displayed high expression in numerous noncardiac tissues that could serve as diagnostic confounds and limit their clinical value. In addition, we also observed differences between the expression profiles of closely related established biomarkers that have often been used interchangeably, including cTnI and cTnT, and proANP and proBNP, that could explain recent reports of discordant blood measures. Finally, we observed notable age and sex-related differences in the expression of proANP and proBNP within cardiac tissue specifically that support calls for the use of tiered diagnostic cutoffs.
Conclusion:
Our findings provide insights into the potential utility of several notable emerging cardiac biomarkers and new information that could mechanistically explain previously reported phenomena or highlight possible diagnostic advantages, disadvantages, or use-caveats regarding others currently measured in clinical care.
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