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What is the Olink Flex Customized Inflammation in Aging Panel
Customized panel for human
The Olink Flex Customized Inflammation in Aging Panel utilizes advanced multiplex technology to quantify 21 biomarkers associated with immune senescence, including both established and exploratory targets, from just 1μL of plasma/serum (40 samples/run). The platform demonstrates exceptional sensitivity (<1 pg/mL detection) and reproducibility (<5% CV) through normalized protein expression analysis. Researchers can customize panels by selecting 15-21 proteins from 208 validated inflammatory markers, enabling tailored investigations of age-related immune dysfunction. This flexible solution supports comprehensive analysis of inflammaging mechanisms and their potential connections to various aging-associated conditions while maintaining Olink's high-quality standards.
Features of the pane
- Species: Human-specific research applications.
- Design: Custom configuration via Olink Insight.
- Proteins: the top 21 biomarkers relevant to immune senescence.
- Sample: 1 µL plasma/serum sample.
- Readout: NPX-normalized protein data.
- Platform: Olink Signature Q100 platform.
List of 21 Human Derived Biomarkers
Protein category
The Olink Flex Customized Inflammation in Aging Panel quantifies 21 strategically selected protein biomarkers organized into key functional categories: Senescence-Associated Secretory Phenotype (SASP) Factors, Pro-inflammatory Cytokines/Chemokines, Anti-inflammatory Regulators, Acute-Phase Proteins, Complement System Components, Growth Factors, Adhesion Molecules, and Stress Response Proteins (see Table. List of Olink Flex Customized Inflammation in Aging Panel).
These targets encompass human proteins involved in fundamental biological mechanisms of inflammaging, covering processes such as cellular senescence, chronic low-grade inflammation, immune cell dysregulation, tissue remodeling, and oxidative stress responses. The panel incorporates rigorously validated biomarkers associated with age-related inflammatory pathways, including NF-κB signaling, inflammasome activation, mitochondrial dysfunction, and extracellular matrix alterations through systematic literature review and proteomic verification, offering researchers a comprehensive solution for investigating the molecular interplay between aging and inflammatory processes in various biological systems and model organisms. This carefully curated selection enables multidimensional profiling of inflammaging networks while maintaining flexibility for customized panel configurations tailored to specific research objectives in aging biology and longevity studies.
Table. List of Olink Flex Customized Inflammation in Aging Panel
UniProt ID | Gene | Protein name | Customized Olink Flex panel |
P01133 | EGF | Pro-epidermal growth factor | Inflammation in Aging |
P15692 | VEGFA | Vascular endothelial growth factor A | Inflammation in Aging |
P01730 | CD4 | T-cell surface glycoprotein CD4 | Inflammation in Aging |
Q9Y6Q6 | TNFRSF11A | Tumor necrosis factor receptor superfamily member 11A | Inflammation in Aging |
O95630 | STAMBP | STAM-binding protein | Inflammation in Aging |
Q9H5V8 | CDCP1 | CUB domain-containing protein 1 | Inflammation in Aging |
P13500 | CCL2 | C-C motif chemokine 2 | Inflammation in Aging |
Q9NSA1 | FGF21 | Fibroblast growth factor 21 | Inflammation in Aging |
P14210 | HGF | Hepatocyte growth factor | Inflammation in Aging |
P05231 | IL6 | Interleukin-6 | Inflammation in Aging |
P01375 | TNF | Tumor necrosis factor | Inflammation in Aging |
P01579 | IFNG | Interferon gamma | Inflammation in Aging |
P01137 | TGFB1 | Transforming growth factor beta-1 proprotein | Inflammation in Aging |
P22301 | IL10 | Interleukin-10 | Inflammation in Aging |
P09038 | FGF2 | Fibroblast growth factor 2 | Inflammation in Aging |
Q16552 | IL17A | Interleukin-17A | Inflammation in Aging |
P18510 | IL1RA | Interleukin-1 receptor antagonist protein | Inflammation in Aging |
P13232 | IL7 | Interleukin-7 | Inflammation in Aging |
P40933 | IL15 | Interleukin-15 | Inflammation in Aging |
P15018 | LIF | Leukemia inhibitory factor | Inflammation in Aging |
Q03405 | PLAUR | Urokinase plasminogen activator surface receptor | Inflammation in Aging |
Protein Functions
Biological process
Primarily involved in fundamental biological processes including cellular proliferation and differentiation, angiogenesis and vascular remodeling, immune cell activation and regulation, inflammatory response modulation, tissue repair and fibrosis, hematopoietic cell development, and cellular signaling transduction.
Disease area
Particularly relevant for scientific investigation across multiple research areas including autoimmune phenomena, cancer biology, metabolic disorders, cardiovascular pathologies, bone remodeling studies, neurodegenerative processes, and infectious disease responses.
The Application of Olink Flex Customized Inflammation in aging Panel.
The Olink Flex Customized Inflammation in Aging Panel enables comprehensive profiling of inflammaging-related biomarkers, providing researchers with a powerful tool for:
- Systematic investigation of senescence-associated secretory phenotype (SASP) factors in age-related chronic inflammation;
- Characterization of dysregulated immune pathways linking inflammaging to tissue degeneration;
- Identification of molecular signatures associated with accelerated aging phenotypes.
Workflow of Olink Proteomics
Why Creativ Proteomics
Aging-Specific Analytical Frameworks
Preconfigured workflows for inflammaging research including SASP analysis, immunosenescence tracking, and oxidative stress responses with validated biomarker ratios.
DStandardized Inflammaging Metrics
Incorporates 21 published composite scores for biological age prediction and senescence burden assessment.
Validated Biomarker Ratios
Provides 68 pre-verified biomarker ratios relevant to chronic low-grade inflammation (inflammaging), reducing analytical validation burdens.
Cross-Platform Compatibility
Data outputs standardized for integration with major aging research databases (e.g., MouseAGE, Human Aging Genomic Resources).
Demo Results of Olink Data
Figure 1: Association of inflammatory/immune proteins and pathways with energy-regulated dietary inflammatory index (EDII). (Duggan, M. R., et al. 2023)
Figure 2: Differential protein expression (NPX) visualized by volcano plot: l-GCF versus h-GCF. (Llaurador-Coll, M., et al. 2023)
Sample Requirements
Sample Type | Recommended Sample Size | Sample Quality | Pre-treatment and Storage | Sample Transport |
Plasma/Serum/Body Fluid | Minimum volume: 40 µL/sample | Concentration range: 0.5–1 mg/mL | Portion sterile; maintain -80°C | Foil-sealed samples require dry ice (-80°C) |
Tissue | ||||
Cells | ||||
Exosomes | ||||
Other |
FAQs
What are the components of Olink Flex Negative controls and how are they used in data analysis?
Negative controls were contained in triplicate on each well plate and consisted of buffer runs of normal samples. These were used to monitor any background noise generated when the DNA tag was approached without prior binding to the appropriate protein. The negative control set the background level for each protein detection and was used to calculate the limit of detection (LOD).
What instruments are required to run Olink Flex?
If you are running our panel in your laboratory, Olink Signature Q100 needs to be used for detection and quantification. In the extension step of the test protocol, a validated PCR instrument with a 100µL reaction volume and a heated lid was also required.
BioMark HD Reader of Standard BioTool and IFC Controller HX/MX/AX/Juno can be used instead of Olink Signature Q100.
Can I customize the panel?
Yes! The panel allows: Selection of 15–21 markers from 208+ validated immune-related proteins. Adaptive configuration for specific research needs
References
- Duggan, M. R., Butler, L., Peng, Z., et al. (2023). Plasma proteins related to inflammatory diet predict future cognitive impairment. Molecular psychiatry, 28(4), 1599–1609. https://doi.org/10.1038/s41380-023-01975-7
- Llaurador-Coll, M., Rios, S., García-Gavilán, J. F., et al. (2023). Plasma levels of neurology-related proteins are associated with cognitive performance in an older population with overweight/obesity and metabolic syndrome. GeroScience, 45(4), 2457–2470. https://doi.org/10.1007/s11357-023-00764-y