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soluble vcam 1 svcam 1  (R&D Systems)


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    Structured Review

    R&D Systems soluble vcam 1 svcam 1
    Blood biomarker dynamics during the annual 12‐week dosing gap. (A) NfL serum levels measured during SID (baseline, time point A), at the end of the 12‐week dosing gap (time point B), as well as 3 months post gap (time point C). <t>(B)</t> <t>SVCAM‐1</t> serum levels measured during SID (baseline, time point A), at the end of the 12‐week dosing gap (time point B), as well as 3 months post gap (time point C). (C) SVCAM‐1 levels correlated to NTZ serum levels measured at baseline (green, time point A) and at the end of the 12‐week dosing gap (orange, time point B). Spearman (non‐parametric) analysis revealed a significant correlation ( p value < 0.0001).
    Soluble Vcam 1 Svcam 1, supplied by R&D Systems, used in various techniques. Bioz Stars score: 94/100, based on 53 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/svcam+1/Human+VCAM-1%2FCD106+DuoSet+ELISA/pmc12790166-62-2-5
    Average 94 stars, based on 53 article reviews
    soluble vcam 1 svcam 1 - by Bioz Stars, 2026-10
    94/100 stars

    Images

    1) Product Images from "Annual 12‐Week Dosing Gap of Natalizumab: Clinical Efficacy, Blood Biomarkers, and CSF Cell Composition"

    Article Title: Annual 12‐Week Dosing Gap of Natalizumab: Clinical Efficacy, Blood Biomarkers, and CSF Cell Composition

    Journal: Annals of Clinical and Translational Neurology

    doi: 10.1002/acn3.70207

    Blood biomarker dynamics during the annual 12‐week dosing gap. (A) NfL serum levels measured during SID (baseline, time point A), at the end of the 12‐week dosing gap (time point B), as well as 3 months post gap (time point C). (B) SVCAM‐1 serum levels measured during SID (baseline, time point A), at the end of the 12‐week dosing gap (time point B), as well as 3 months post gap (time point C). (C) SVCAM‐1 levels correlated to NTZ serum levels measured at baseline (green, time point A) and at the end of the 12‐week dosing gap (orange, time point B). Spearman (non‐parametric) analysis revealed a significant correlation ( p value < 0.0001).
    Figure Legend Snippet: Blood biomarker dynamics during the annual 12‐week dosing gap. (A) NfL serum levels measured during SID (baseline, time point A), at the end of the 12‐week dosing gap (time point B), as well as 3 months post gap (time point C). (B) SVCAM‐1 serum levels measured during SID (baseline, time point A), at the end of the 12‐week dosing gap (time point B), as well as 3 months post gap (time point C). (C) SVCAM‐1 levels correlated to NTZ serum levels measured at baseline (green, time point A) and at the end of the 12‐week dosing gap (orange, time point B). Spearman (non‐parametric) analysis revealed a significant correlation ( p value < 0.0001).

    Techniques Used: Biomarker Discovery

    The annual 12‐week dosing gap modulates the composition of CSF immune cells. (A) Quantification of CD45+ CSF immune cell counts per ml by flow cytometry at time points A and B from six patients. (B) UMAP plots of CSF scRNAseq data immune cell subsets from nine patients at time points A (left) and B (right), annotated by aCSF. (C–I) Quantification of immune cell subset clusters as a percentage of cells within each sample from CSF of healthy donors (HD), treatment‐naïve MS (MS), and NTZ‐treated MS patients on SID (baseline, time point A) as well as after the A12WG (time point B). Only subsets with a significant increase from time points A and B are shown. (J–L) The scatterplots depict correlations between absolute changes from time points A and B of immune cell subset proportions in the CSF and serum concentrations of sVCAM‐1. Only significant positive correlations are shown. (M–N) The scatterplots depict correlations between absolute changes from time points A and B of immune cell subset proportions in the CSF and serum concentrations of NfL. Only significant correlations are shown. Statistical difference is indicated * p < 0.05. The circled dots indicate patients with MRI features after the treatment gap (patient #6, black; patient #8, blue).
    Figure Legend Snippet: The annual 12‐week dosing gap modulates the composition of CSF immune cells. (A) Quantification of CD45+ CSF immune cell counts per ml by flow cytometry at time points A and B from six patients. (B) UMAP plots of CSF scRNAseq data immune cell subsets from nine patients at time points A (left) and B (right), annotated by aCSF. (C–I) Quantification of immune cell subset clusters as a percentage of cells within each sample from CSF of healthy donors (HD), treatment‐naïve MS (MS), and NTZ‐treated MS patients on SID (baseline, time point A) as well as after the A12WG (time point B). Only subsets with a significant increase from time points A and B are shown. (J–L) The scatterplots depict correlations between absolute changes from time points A and B of immune cell subset proportions in the CSF and serum concentrations of sVCAM‐1. Only significant positive correlations are shown. (M–N) The scatterplots depict correlations between absolute changes from time points A and B of immune cell subset proportions in the CSF and serum concentrations of NfL. Only significant correlations are shown. Statistical difference is indicated * p < 0.05. The circled dots indicate patients with MRI features after the treatment gap (patient #6, black; patient #8, blue).

    Techniques Used: Flow Cytometry, Tandem Mass Spectroscopy

    Mechanism of action of natalizumab. (A) with a scenario where all VLA‐4‐expressing immune cells are blocked from trafficking into the CNS. Theoretical scenario (B) where some cells are blocked from trafficking into the CNS, while others are not. When VLA‐4 binds to VCAM‐1, sVCAM‐1 can be produced.
    Figure Legend Snippet: Mechanism of action of natalizumab. (A) with a scenario where all VLA‐4‐expressing immune cells are blocked from trafficking into the CNS. Theoretical scenario (B) where some cells are blocked from trafficking into the CNS, while others are not. When VLA‐4 binds to VCAM‐1, sVCAM‐1 can be produced.

    Techniques Used: Expressing, Produced

    Related Articles

    Clinical Proteomics:

    Article Title: Multi-study feasibility analysis on a composite biomarker of inflammatory resilience to quantify the effects of energy restriction on low-grade inflammation in overweight and obese individuals.
    Article Snippet: .. The following multiplexed immunoassays (provider, product number, units) were employed, and they were previously optimized for small plasma volumes using commercially available reference blood donor plasma samples (TCS Bioscience Ltd., Buckingham, UK) [10]: MPO (R&D Systems, DY3174), adiponectin (R&D Systems, DY1065), leptin (R&D Systems, DY398), E-selectin (R&D Systems, DY724), P-selectin (R&D Systems, DY137), sICAM-1 (R&D Systems, DY720), sVCAM-1 (R&D Systems, DY805), SAA (R&D Systems, DY3019), CRP (R&D Systems, DY1707), and total PAI-1 (R&D Systems, DY9387). .. For each parameter, the linear range and optimal dilution factor were optimized prior to measurement via commercially available reference blood donor plasma samples (TCS Bioscience Ltd., Buckingham, UK).

    Article Title: Soluble Vascular Cell Adhesion Molecule-1 (VCAM-1) as a Biomarker in the Mouse Model of Experimental Autoimmune Myocarditis (EAM)
    Article Snippet: After digestion in 0.1% collagenase for 45 minutes, cells were lysed by ultrasonic pulse echo instrument. cVCAM-1, interleukin-6 (IL-6) and transforming growth factor-β (TGF-β) proteins were quantified using commercially available kits (VCAM-1: RayBiotech, Norcross, GA, Cat# ELM-VCAM1-001; IL-6: Cat#M6000B, TGF-β: Cat#MB100B, R&D Systems, Minneapolis, MN) according to the manufacturer’s instructions. .. For cVCAM-1, each value represents a pooled analysis of two hearts. sVCAM-1 (R&D Systems, Minneapolis, MN, Cat# MVC00, and RayBiotech, Norcross, GA, Cat# ELM-VCAM1-001) was quantified in plasma of immunized mice, sham immunized mice and healthy controls according to the manufacturer’s instructions. ..

    Article Title: Multi-study feasibility analysis on a composite biomarker of inflammatory resilience to quantify the effects of energy restriction on low-grade inflammation in overweight and obese individuals
    Article Snippet: .. The following multiplexed immunoassays (provider, product number, units) were employed, and they were previously optimized for small plasma volumes using commercially available reference blood donor plasma samples (TCS Bioscience Ltd., Buckingham, UK) [ ]: MPO (R&D Systems, DY3174), adiponectin (R&D Systems, DY1065), leptin (R&D Systems, DY398), E-selectin (R&D Systems, DY724), P-selectin (R&D Systems, DY137), sICAM-1 (R&D Systems, DY720), sVCAM-1 (R&D Systems, DY805), SAA (R&D Systems, DY3019), CRP (R&D Systems, DY1707), and total PAI-1 (R&D Systems, DY9387). .. For each parameter, the linear range and optimal dilution factor were optimized prior to measurement via commercially available reference blood donor plasma samples (TCS Bioscience Ltd., Buckingham, UK).

    Concentration Assay:

    Article Title: Gut Microbiota and Endothelial Dysfunction Markers in Obese Mexican Children and Adolescents
    Article Snippet: .. The concentration of EDF markers including sVCAM-1 (soluble vascular cell adhesion molecule, Cat. #DVC00), sICAM-1 (soluble Intercellular adhesion molecule, Cat. #DCD540), and E-selectin (Cat. #DSLE00) were measured in serum of all individuals [ ], using quantitative immunoassay technique kit (R&D Systems, Minneapolis, MN, USA). ..

    Article Title: Gut Microbiota and Endothelial Dysfunction Markers in Obese Mexican Children and Adolescents.
    Article Snippet: .. The concentration of EDF markers including sVCAM-1 (soluble vascular cell adhesion molecule, Cat. #DVC00), sICAM-1 (soluble Intercellular adhesion molecule, Cat. #DCD540), and E-selectin (Cat. #DSLE00) were measured in serum of all individuals [14], using quantitative immunoassay technique kit (R&D Systems, Minneapolis, MN, USA). ..

    Blocking Assay:

    Article Title: Integrin cross-talk modulates stiffness-independent motility of CD4+ T lymphocytes
    Article Snippet: .. To activate or block integrins, cells were incubated with the following for 15 min prior to adhesion: sVCAM-1 (Cat. #809-VR, R&D Systems, Minneapolis, MN), isotype control (Cat. #400166, MOPC-21), anti-α L (Cat. #301214, clone: HI111), anti-α 4 (Cat. #304310, clone: 9F10), or anti-β 1 (Cat. #921304, clone: P5D2) (BioLegend, San Diego, CA). ..

    Article Title: Integrin cross-talk modulates stiffness-independent motility of CD4+ T lymphocytes
    Article Snippet: .. To activate or block integrins, cells were incubated with the following for 15 min prior to adhesion: sVCAM-1 (Cat. #809-VR, R&D Systems, Minneapolis, MN), isotype control (Cat. #400166, MOPC-21), anti-αL (Cat. #301214, clone: HI111), anti-α4 (Cat. #304310, clone: 9F10), or anti-β1 (Cat. #921304, clone: P5D2) (BioLegend, San Diego, CA). ..

    Incubation:

    Article Title: Integrin cross-talk modulates stiffness-independent motility of CD4+ T lymphocytes
    Article Snippet: .. To activate or block integrins, cells were incubated with the following for 15 min prior to adhesion: sVCAM-1 (Cat. #809-VR, R&D Systems, Minneapolis, MN), isotype control (Cat. #400166, MOPC-21), anti-α L (Cat. #301214, clone: HI111), anti-α 4 (Cat. #304310, clone: 9F10), or anti-β 1 (Cat. #921304, clone: P5D2) (BioLegend, San Diego, CA). ..

    Article Title: Integrin cross-talk modulates stiffness-independent motility of CD4+ T lymphocytes
    Article Snippet: .. To activate or block integrins, cells were incubated with the following for 15 min prior to adhesion: sVCAM-1 (Cat. #809-VR, R&D Systems, Minneapolis, MN), isotype control (Cat. #400166, MOPC-21), anti-αL (Cat. #301214, clone: HI111), anti-α4 (Cat. #304310, clone: 9F10), or anti-β1 (Cat. #921304, clone: P5D2) (BioLegend, San Diego, CA). ..

    Control:

    Article Title: Integrin cross-talk modulates stiffness-independent motility of CD4+ T lymphocytes
    Article Snippet: .. To activate or block integrins, cells were incubated with the following for 15 min prior to adhesion: sVCAM-1 (Cat. #809-VR, R&D Systems, Minneapolis, MN), isotype control (Cat. #400166, MOPC-21), anti-α L (Cat. #301214, clone: HI111), anti-α 4 (Cat. #304310, clone: 9F10), or anti-β 1 (Cat. #921304, clone: P5D2) (BioLegend, San Diego, CA). ..

    Article Title: Integrin cross-talk modulates stiffness-independent motility of CD4+ T lymphocytes
    Article Snippet: .. To activate or block integrins, cells were incubated with the following for 15 min prior to adhesion: sVCAM-1 (Cat. #809-VR, R&D Systems, Minneapolis, MN), isotype control (Cat. #400166, MOPC-21), anti-αL (Cat. #301214, clone: HI111), anti-α4 (Cat. #304310, clone: 9F10), or anti-β1 (Cat. #921304, clone: P5D2) (BioLegend, San Diego, CA). ..

    Enzyme-linked Immunosorbent Assay:

    Article Title: Identification and Validation of a Urinary Biomarker Panel to Accurately Diagnose and Predict Response to Therapy in Lupus Nephritis
    Article Snippet: .. For the second and third stage of the study, sVCAM-1 (Cat# DY809), MCP-1 (Cat# DY279), Adiponectin (Cat# DY1065), PF-4 (Cat# DY795), vWF (Cat# DY2764-05) and IL-15 (Cat# DY247) were measured by ELISA, using Duoset and Ancillary Reagent Kits (Cat# DY008) obtained from R&D Systems, and processed following the manufacturer’s protocols. ..



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    Effects of YQHX on serum inflammatory cytokines and macrophage infiltration within atherosclerotic plaques in ApoE –/– mice. ( A–D ) Concentrations of TNF-α, IL-6, IL-1β, and sVCAM-1 in serum (n = 6). ( E ) Immunohistochemistry staining of F4/80 in plaques (n = 3). Data are expressed as means ± SD. ### P < 0.001 versus control, * P < 0.05 versus model, ** P < 0.01 versus model, *** P < 0.001 versus model.

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    doi: 10.2147/JIR.S566368

    Figure Lengend Snippet: Effects of YQHX on serum inflammatory cytokines and macrophage infiltration within atherosclerotic plaques in ApoE –/– mice. ( A–D ) Concentrations of TNF-α, IL-6, IL-1β, and sVCAM-1 in serum (n = 6). ( E ) Immunohistochemistry staining of F4/80 in plaques (n = 3). Data are expressed as means ± SD. ### P < 0.001 versus control, * P < 0.05 versus model, ** P < 0.01 versus model, *** P < 0.001 versus model.

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    Techniques: Immunohistochemistry, Staining, Control

    Blood biomarker dynamics during the annual 12‐week dosing gap. (A) NfL serum levels measured during SID (baseline, time point A), at the end of the 12‐week dosing gap (time point B), as well as 3 months post gap (time point C). (B) SVCAM‐1 serum levels measured during SID (baseline, time point A), at the end of the 12‐week dosing gap (time point B), as well as 3 months post gap (time point C). (C) SVCAM‐1 levels correlated to NTZ serum levels measured at baseline (green, time point A) and at the end of the 12‐week dosing gap (orange, time point B). Spearman (non‐parametric) analysis revealed a significant correlation ( p value < 0.0001).

    Journal: Annals of Clinical and Translational Neurology

    Article Title: Annual 12‐Week Dosing Gap of Natalizumab: Clinical Efficacy, Blood Biomarkers, and CSF Cell Composition

    doi: 10.1002/acn3.70207

    Figure Lengend Snippet: Blood biomarker dynamics during the annual 12‐week dosing gap. (A) NfL serum levels measured during SID (baseline, time point A), at the end of the 12‐week dosing gap (time point B), as well as 3 months post gap (time point C). (B) SVCAM‐1 serum levels measured during SID (baseline, time point A), at the end of the 12‐week dosing gap (time point B), as well as 3 months post gap (time point C). (C) SVCAM‐1 levels correlated to NTZ serum levels measured at baseline (green, time point A) and at the end of the 12‐week dosing gap (orange, time point B). Spearman (non‐parametric) analysis revealed a significant correlation ( p value < 0.0001).

    Article Snippet: NTZ and soluble VCAM‐1 (sVCAM‐1) (R&D Systems DY809) were measured by ELISA.

    Techniques: Biomarker Discovery

    The annual 12‐week dosing gap modulates the composition of CSF immune cells. (A) Quantification of CD45+ CSF immune cell counts per ml by flow cytometry at time points A and B from six patients. (B) UMAP plots of CSF scRNAseq data immune cell subsets from nine patients at time points A (left) and B (right), annotated by aCSF. (C–I) Quantification of immune cell subset clusters as a percentage of cells within each sample from CSF of healthy donors (HD), treatment‐naïve MS (MS), and NTZ‐treated MS patients on SID (baseline, time point A) as well as after the A12WG (time point B). Only subsets with a significant increase from time points A and B are shown. (J–L) The scatterplots depict correlations between absolute changes from time points A and B of immune cell subset proportions in the CSF and serum concentrations of sVCAM‐1. Only significant positive correlations are shown. (M–N) The scatterplots depict correlations between absolute changes from time points A and B of immune cell subset proportions in the CSF and serum concentrations of NfL. Only significant correlations are shown. Statistical difference is indicated * p < 0.05. The circled dots indicate patients with MRI features after the treatment gap (patient #6, black; patient #8, blue).

    Journal: Annals of Clinical and Translational Neurology

    Article Title: Annual 12‐Week Dosing Gap of Natalizumab: Clinical Efficacy, Blood Biomarkers, and CSF Cell Composition

    doi: 10.1002/acn3.70207

    Figure Lengend Snippet: The annual 12‐week dosing gap modulates the composition of CSF immune cells. (A) Quantification of CD45+ CSF immune cell counts per ml by flow cytometry at time points A and B from six patients. (B) UMAP plots of CSF scRNAseq data immune cell subsets from nine patients at time points A (left) and B (right), annotated by aCSF. (C–I) Quantification of immune cell subset clusters as a percentage of cells within each sample from CSF of healthy donors (HD), treatment‐naïve MS (MS), and NTZ‐treated MS patients on SID (baseline, time point A) as well as after the A12WG (time point B). Only subsets with a significant increase from time points A and B are shown. (J–L) The scatterplots depict correlations between absolute changes from time points A and B of immune cell subset proportions in the CSF and serum concentrations of sVCAM‐1. Only significant positive correlations are shown. (M–N) The scatterplots depict correlations between absolute changes from time points A and B of immune cell subset proportions in the CSF and serum concentrations of NfL. Only significant correlations are shown. Statistical difference is indicated * p < 0.05. The circled dots indicate patients with MRI features after the treatment gap (patient #6, black; patient #8, blue).

    Article Snippet: NTZ and soluble VCAM‐1 (sVCAM‐1) (R&D Systems DY809) were measured by ELISA.

    Techniques: Flow Cytometry, Tandem Mass Spectroscopy

    Mechanism of action of natalizumab. (A) with a scenario where all VLA‐4‐expressing immune cells are blocked from trafficking into the CNS. Theoretical scenario (B) where some cells are blocked from trafficking into the CNS, while others are not. When VLA‐4 binds to VCAM‐1, sVCAM‐1 can be produced.

    Journal: Annals of Clinical and Translational Neurology

    Article Title: Annual 12‐Week Dosing Gap of Natalizumab: Clinical Efficacy, Blood Biomarkers, and CSF Cell Composition

    doi: 10.1002/acn3.70207

    Figure Lengend Snippet: Mechanism of action of natalizumab. (A) with a scenario where all VLA‐4‐expressing immune cells are blocked from trafficking into the CNS. Theoretical scenario (B) where some cells are blocked from trafficking into the CNS, while others are not. When VLA‐4 binds to VCAM‐1, sVCAM‐1 can be produced.

    Article Snippet: NTZ and soluble VCAM‐1 (sVCAM‐1) (R&D Systems DY809) were measured by ELISA.

    Techniques: Expressing, Produced