Olink Target 96 Cardiovascular II Panel

What is the Olink Target 96 Cardiovascular II panel 

Customized panel for human

The Olink Target 96 Cardiovascular II Panel is engineered to quantify proteins, with detailed biomarker information available on our company website. Utilizing advanced Biomarker technology, the panel measures 92 proteins through a three-stage workflow: incubation, extension/amplification, and detection. In the incubation phase, DNA-labeled antibody pairs are introduced to the sample and incubated overnight to bind specific target proteins. The following day, extension and amplification generate unique DNA reporter sequences for each protein, which are then preamplified using standard PCR. Detection is carried out via high-throughput real-time qPCR on the Olink Signature Q100 System to quantify the DNA reporter sequences. To ensure unbiased results, samples were randomly distributed across plates. Data underwent rigorous quality control and normalization, incorporating internal extension and interplate controls to account for intra- and inter-batch variability. Protein levels are reported as normalized protein expression (NPX) values, calculated on a log2 scale for precise interpretation.

 Features of the pane

• Species: Mainly validated for human proteins; cross-reactivity with non-human species cannot be assured.
• Proteins: Enables simultaneous measurement of 92 protein biomarkers.
• Sample: Only 1µL of plasma, serum, or similar biofluids is needed.  
• Readout: Results are provided in normalized protein expression (NPX) units, delivering accurate data on relative protein concentrations.
• Platform: Compatible with the Olink Signature Q100 system for seamless analysis.

List of 92 human derived biomarkers

Protein category

The Olink Target 96 Cardiovascular II Panel includes 92 proteins categorized into nine main groups: Cytokines & Growth Factors (18), Receptors (15), the enzymes (14), Extracellular Matrix Proteins (6), Immune-related Proteins (10), Transport & Binding Proteins (7), Enzyme Inhibitors (4), Signaling Molecules (8), and other functional proteins (10). These protein biomarkers were selected by taking into account both their dynamic range in the sample and their closeness to cardiovascular disease. The Cardiovascular Disease-II panel contains known human cardiovascular and inflammatory markers as well as candidate proteins with great potential as cardiovascular disease markers. Each protein was carefully selected by experts in the field. Each of the low-abundance protein analytes of interest has been evaluated in terms of sample material, specificity, precision, sensitivity, dynamic range, matrix effects, and interference.

Table. List of Olink Target 96 Cardiovascular II Panel.

Protein Functions

Biological process

Primarily associated with immune systerm diseases, signal transduction, qnd cytokine signaling in immune system.

Disease area

Primarily associated with metsbolic, carsiovascula, cancer, imuune, and diabetes mellitus.

Workflow of Olink Proteomics

Demo Results of Olink Data

(Figures come from Ding, R., et al. 2024)

The bar chart displayed the number of proteins.

Volcano plots of differentially expressed proteins.

Heatmap of differentially expressed proteins.

Case Study

Novel inflammatory markers in intracerebral hemorrhage: Results from Olink proteomics analysis

Journal: FASEB journal
Year: 2025

• Background
• Results

Cardia cancer (CGC) accounted for 18% of global gastric cancer cases in 2018. Endoscopy remains the mainstay of diagnosis in high-incidence areas, but its invasiveness and high cost limit its wider application. This highlights the urgent need for non-invasive and cost-effective alternatives to enhance early detection and improve intervention outcomes in at-risk populations. Recent studies have demonstrated the effectiveness of serological markers such as pepsinogen (PG), gastrin-17 (G-17), and Helicobacter pylori (h.pylori) antibodies in risk stratification of non-cardia gastric cancer (NCGC) in high-prevalence countries such as China, Japan, and South Korea. These markers are significantly associated with atrophic gastritis and have been included in endoscopic screening protocols. However, their role in CGC remains to be further studied.

Analysis of expression profiles across 92 proteins in Healthy, CLGD, CHGD, and CGC groups demonstrated progressive changes in protein expression patterns with disease progression, as visualized in the cluster heatmap (Fig. 1A). Both dimensionality reduction techniques - t-SNE (Fig. 1B) and UMAP (Fig. 1C) - consistently revealed distinct clustering patterns, with the Healthy group forming a separate cluster in low-dimensional space, clearly distinguishable from the CLGD, CHGD, and CGC groups.

Figure 1. Differential expression of all inflammation-related biomarkers between intracerebral hemorrhage and normal groups. (Ziliang Hu, et al. 2025)

FAQs

Why Creative Proteomics

Dynamic Biomarker Validation Suites

ELISA/MSD validation for Olink biomarkers is provided to reduce false positives and strengthen findings in fibrosis and immuno-oncology research.

Real-Time Collaborative Portals

The cloud platform enables real-time data sharing, interactive NPX exploration, and streamlined multicenter infectious disease research.

Adaptive Cohort Stratification Tools

Custom algorithms are developed to stratify patients by proteomic signatures, enhancing clinical trial design for neurodegenerative and rare diseases.

Sample Requirements

References

1. Hu, Z., Chen, S., Zhang, E., et al. (2025). Novel inflammatory markers in intracerebral hemorrhage: Results from Olink proteomics analysis. FASEB journal: official publication of the Federation of American Societies for Experimental Biology, 39(2), e70341. https://doi.org/10.1096/fj.202402183RR 
2. Michaëlsson, K., Lemming, E. W., Larsson, S. C., et al . (2024). Non-fermented and fermented milk intake in relation to risk of ischemic heart disease and to circulating cardiometabolic proteins in swedish women and men: Two prospective longitudinal cohort studies with 100,775 participants. BMC medicine, 22(1), 483. https://doi.org/10.1186/s12916-024-03651-1  
3. Ding, R., Wu, L., Wei, S., et al. (2024). Multi-targeted olink proteomics analyses of cerebrospinal fluid from patients with aneurysmal subarachnoid hemorrhage. Proteome science, 22(1), 11. https://doi.org/10.1186/s12953-024-00236-x