Olink Explore 384 Cardiometabolic Panel

What is the Olink Explore 384 Cardiometabolic Panel 

Customized panel for human

The Olink Explore 384 Cardiometabolic Panel enables the simultaneous analysis of 368 protein biomarkers simultaneously in 88 sample using only 1 μL of biological sample. Data is reported in normalized protein expression (NPX) units, enabling accurate quantification of relative protein levels. The platform integrates eight systematically curated assay panels with minimized analyte redundancy, empowering researchers to strategically combine modules for expanded proteomic breadth. This architecture supports customizable configurations, generating adaptable and in-depth protein profiles tailored to specific experimental objectives

Features of the pane

• Species: Optimized for human proteome analysis; cross-species compatibility not validated.
• Proteins: High-plex quantification of 384 protein biomarkers in parallel.
• Sample: Ultra-low input requirement (1 µL) for plasma, serum, or equivalent matrices.
• Readout: NPX-normalized reporting delivers quantitative relative abundance data.
• Platform: Exclusive operational compatibility with the Olink Signature Q100 platform.

List of 384 human derived biomarkers

Protein category

The Olink Explore 384 Cardiometabolic Panel includes 369 proteins categorized into ten main groups: enzymes, immune-related proteins, cell adhesion molecules, receptors, extracellular matrix proteins, chemokines, growth factor binding proteins, transport proteins, enzyme inhibitors, and other functional proteins (see Table. List of Olink Explore 384 Cardiometabolic Panel). These biomarkers were carefully selected based on their dynamic range in samples and relevance to cardiometabolic processes. Protein classification was performed using Uniprot, Human Protein Atlas, Gene Ontology, and DisGeNET databases, revealing their involvement in key biological processes including cellular metabolism, cell adhesion, immune response, and complement activation.

Protein Functions

Biological process

Mainly associated with metabolic, cardiovascular, neoplastic, immunological, and neurological pathological conditions.

Disease area

Demonstrates strong associations with immune-mediated diseases, innate immune activation, and extracellular matrix reorganization processes.

The Application of Olink Explore 384 Cardiometabolic Panel.

The Olink Explore 384 Cardiometabolic Panel enables simultaneous quantification of 384 protein biomarkers associated with cardiovascular pathophysiology, providing researchers with a powerful tool for: 

• Identification of novel protein signatures predictive of myocardial infarction and stroke;
• Mechanistic investigation of metabolic syndrome components (dyslipidemia, insulin resistance, hypertension);
• Discovery of therapeutic targets for atherosclerosis and heart failure;
• Stratification of patient subgroups based on molecular profiles.

Workflow of Olink Proteomics

Why CPR

Custom Multi-Omics Integration Capacity

Enables cross-platform correlation with genomic/transcriptomic datasets through proprietary bioinformatics pipelines, enhancing pathway-level cardiometabolic insights.

Disease-Specific Analytical Frameworks

Pre-configured workflows for atherosclerosis, diabetes, and NAFLD research incorporating 83 validated biomarker ratios and 12 metabolic risk indices.

Technical Reproducibility Assurance

Achieves 98% inter-assay consistency through standardized SOPs and NIST-traceable controls across all 384 protein targets.

Collaborative Protocol Development

Co-design capabilities for creating study-specific panels (42 customizable slots) while maintaining core cardiometabolic biomarker coverage.

Demo Results of Olink Data

Identification of proteins associated with sporadic heart failure in atrial fibrillation cohort (Gaifeng Hu, et al. 2025)

Sample Requirements

Case Study

Associations between skeletal muscle mass and elevated blood pressure are independent of body fat: a cross-sectional study in young adult women of African ancestry

Journal: The British journal of nutrition
Year: 2025

• Background
• Results

Although studies on the relationship between lean body mass and blood pressure are inconsistent, most studies report that lean body mass index is associated with a higher risk of hypertension. We explored the relationship between body composition (fat and skeletal muscle mass) and blood pressure in 1,162 young adult African women.

Of all the proteins included in the analysis (n 363), only 19 proteins differed between participants with normal and elevated blood pressure (fig 1). However, after correction for multiple tests, there was only sufficient evidence of a difference in REN (FDR correction P = 0.008) (fig 1).

Figure 1. Differences in standardized protein expression between normotensive and hypertensive groups. (Siphiwe N. Dlamini, et al. 2025)

FAQs

References

1. Hu, G., Peng, X., He, L., et al. (2025). Pro-adrenomedullin as an independent predictive biomarker for heart failure in atrial fibrillation and flutter. ESC heart failure, 10.1002/ehf2.15196. Advance online publication. https://doi.org/10.1002/ehf2.15196 
2. Dlamini, S. N., Norris, S. A., & Micklesfield, L. K. (2025). Associations between skeletal muscle mass and elevated blood pressure are independent of body fat: a cross-sectional study in young adult women of African ancestry. The British journal of nutrition, 133(3), 1–15. Advance online publication. https://doi.org/10.1017/S0007114525000029