Proteomic profiling identifies novel independent relationships between inflammatory proteins and myocardial infarction
Authors' conclusion
This study, demonstrating independent relationships between five inflammatory proteins and MI, provides important novel insights into the inflammatory hypothesis of MI and the potential utility of proteomic analyses in precision medicine.
Study context
- Population
- Patients with myocardial infarction (MI) diagnosed before age 66 and controls
- Participants
- 432 vs 323
- Comparison
- MI cases vs controls
- MI casesn = 432
- Controlsn = 323reference
- Outcome
- Associations of 92 inflammatory proteins with MI, adjusted for CV risk factors and medication use
Methodological detailsproteomic profiling, OLINK multiplex immunoassay, machine learning validation
- Proteomic profiling
- OLINK multiplex immunoassay
- Machine learning validation
Main finding
As reported in the abstract
Inflammatory proteins associated with MI
Proteins above lower limit of detection in ≥50% of samples
62
67%
Proteins significantly associated with MI after adjustment and multiple-testing correction
15
Proteins independently associated with MI (CDCP1, CD6, IL1-8R1, IL-6, CXCL1)
5
Observational data: associations, not effects.
Further findings
Validation by machine learning (Boruta, LASSO) and biologically focused analyses
- Findings further validated
Original publication
Proteomic profiling identifies novel independent relationships between inflammatory proteins and myocardial infarction. Eur J Prev Cardiol. Published 25 January 2023. doi:10.
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