By Research Area
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Mouse Anti-GPR34 Recombinant Antibody (CBFYH-0457) (CBMAB-H1331-FY)
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Atherosclerosis Research
Creative Biolabs provides antibodies for cardiovascular application studies in which researchers need to connect plaque biology with reliable target detection. For atherosclerosis research antibodies, researchers can explore target groups within cardiovascular disease research categories, including plaque inflammation, macrophage foam cell markers, endothelial dysfunction antibodies, lipid metabolism markers, and related assay needs.
Antibody Targets for Plaque Inflammation and Immune Cell Infiltration
Atherosclerotic lesions are shaped by persistent vascular inflammation, immune-cell recruitment, lipid deposition, and matrix remodeling. For antibody-based research, the most useful starting point is often the cellular composition of the plaque. Macrophage-rich areas, activated endothelial regions, smooth muscle contributions, and inflammatory cytokine patterns can each require a different antibody panel.
Plaque inflammation antibodies may support immunohistochemistry, immunofluorescence, western blotting, ELISA, and flow cytometry workflows. Researchers commonly combine lineage markers with pathway or activation markers so that a plaque section is not interpreted from a single signal alone.
| Research focus | Representative antibody targets | Common research use |
| Inflammatory cell mapping | CD68, CD163, CCR2, MPO, CD3 | IHC/IF localization of macrophages, monocytes, neutrophils, or T-cell populations |
| Inflammatory signaling | IL-1 beta, TNF-alpha, IL-6, NF-kB pathway markers | Pathway readouts in plaque tissue, macrophage models, or endothelial activation assays |
| Lesion activation context | VCAM1, ICAM1, SELE, VWF | Endothelial activation and leukocyte adhesion studies |
Macrophage Foam Cell and Lipid Metabolism Markers
Foam-cell formation is one of the clearest biological links between lipid handling and plaque progression. Macrophage foam cell markers are often selected to study lipid uptake, cholesterol efflux, oxidized lipid response, and inflammatory activation. Supporting targets may include CD36, MSR1, ABCA1, APOE, LDLR, ACAT1, LPL, and oxidative stress-associated markers.
- Use scavenger receptor antibodies when the study centers on oxidized lipid uptake or macrophage lipid loading.
- Use cholesterol efflux and lipid transport markers when the research question involves foam-cell resolution or lipid homeostasis.
- Pair lipid metabolism markers with CD68 or other macrophage markers when tissue localization is important.
- Include assay-validated controls because lipid-rich tissue can create background and interpretation challenges.
Endothelial Dysfunction and Vascular Activation
Endothelial dysfunction antibodies are frequently used to evaluate early vascular activation, leukocyte adhesion, barrier changes, and nitric oxide-related signaling. In atherosclerosis research, endothelial activation is not only a vascular stress signal; it is also a gateway for immune-cell recruitment into developing lesions.
Creative Biolabs supports antibody selection across endothelial markers such as VCAM1, ICAM1, E-selectin, VWF, NOS3/eNOS, KDR/VEGFR2, and oxidative stress-associated targets.
Research Models and Assay Applications
Atherosclerosis antibody markers may be used in human plaque specimens, animal models, endothelial cell cultures, macrophage foam-cell models, and lipid-loading experiments. For tissue-based applications, localization and cell identity are often as important as expression intensity. For cell-based studies, the same target may be used to compare treatment conditions, lipid exposure, or inflammatory stimulation in a controlled research setting.
| Research focus | Representative antibody targets | Common research use |
| Plaque tissue | CD68, APOE, VCAM1, MMP9, COL1A1 | IHC or IF mapping of lesion composition and activation |
| Macrophage models | CD36, MSR1, ABCA1, NF-kB markers | Foam-cell formation, lipid uptake, and inflammatory response studies |
| Endothelial assays | ICAM1, VCAM1, SELE, NOS3 | Endothelial activation and leukocyte adhesion research |
Browse Atherosclerosis Research Antibodies by Target
You can browse antibodies that are related to inflammatory markers, lipid metabolism targets, endothelial activation markers, extracellular matrix remodeling factors, and oxidative stress pathways. We support quick access to atherosclerosis antibody markers, including commonly searched targets such as APOE atherosclerosis antibody, CD68 atherosclerosis marker, VCAM1, ICAM1, CD36, and MMP9.
- For adjacent cardiovascular applications, compare antibody target groups across Myocardial Infarction & HF Research, Hypertension & Vascular Remodeling Research, and Thrombosis & Hemostasis Research
- For assay-format planning, see Cardiovascular Research Assay Routing.
- If you cannot find a suitable product, please contact our experts for personalized guidance.
FAQ
Which antibodies are commonly used for macrophage-rich plaque studies?
CD68 is widely used as a macrophage-associated marker in plaque research, while CD163, CCR2, CD11b, and inflammatory cytokine markers can help refine immune-cell context. Researchers often combine macrophage markers with lipid metabolism or foam-cell markers to interpret lesion biology more clearly.
How can I choose antibodies for foam-cell research?
Start with the biological step being studied. CD36 and MSR1 are useful for lipid uptake questions, ABCA1 and APOE support cholesterol handling studies, and inflammatory pathway markers can help connect lipid loading with macrophage activation.
Are endothelial dysfunction antibodies relevant to atherosclerosis research?
Yes. Endothelial activation markers such as VCAM1, ICAM1, E-selectin, VWF, and NOS3/eNOS help researchers study vascular activation, leukocyte adhesion, and barrier-related changes that contribute to plaque initiation and progression.
What assays are suitable for atherosclerosis research antibodies?
IHC and IF are commonly used for tissue localization, while western blotting, ELISA, and flow cytometry may be used for expression or cell-model analysis. The best choice depends on sample type, target abundance, and validation status.
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