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quantikine mouse scd14 elisa kit  (R&D Systems)


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    Structured Review

    R&D Systems quantikine mouse scd14 elisa kit
    Plasma markers of systemic inflammation and kidney injury in CDI mice across diets (A) PCoA of Canberra distances of mean-normalized sepsis/immune marker concentrations. Points are colored by diet, and shapes indicate whether mice were humanely euthanized due to clinical sickness or survived until the experimental endpoint. Vectors show the correlation of each measured factor with PC1 and PC2, with the vector length indicating the relative strength of the correlation. Only statistically significant vectors are shown (multiple regression with Benjamini-Hochberg multiple test correction, p.adj. < 0.05). (B) Plasma concentration of each marker that significantly differed between diets (blood urea nitrogen (BUN), and immune factors <t>sCD14,</t> CXCL1, IL-10, IL-1B, IL-6, and TNF-a) at sacrifice. Pairwise comparisons of concentrations between diets were calculated using Kruskal-Wallis and Dunn’s post hoc tests, with p -value corrections conducted via Benjamini and Hochberg. Boxplot lines (from top to bottom) depict the 75 th , 50 th (median), and 25 th percentiles, with lines extending from the top/bottom of the boxplot indicating the largest/smallest observation within ±1.5∗IQR (inter-quartile range). P-value significance (∗∗∗∗: p < 0.0001, ∗∗∗: p < 0.001, ∗∗: p < 0.01, and ∗: p < 0.05).
    Quantikine Mouse Scd14 Elisa Kit, supplied by R&D Systems, used in various techniques. Bioz Stars score: 94/100, based on 27 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    quantikine mouse scd14 elisa kit - by Bioz Stars, 2026-09
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    Images

    1) Product Images from "Dietary fiber reduces mortality from secondary sepsis in a murine model of Clostridioides difficile infection"

    Article Title: Dietary fiber reduces mortality from secondary sepsis in a murine model of Clostridioides difficile infection

    Journal: iScience

    doi: 10.1016/j.isci.2026.115258

    Plasma markers of systemic inflammation and kidney injury in CDI mice across diets (A) PCoA of Canberra distances of mean-normalized sepsis/immune marker concentrations. Points are colored by diet, and shapes indicate whether mice were humanely euthanized due to clinical sickness or survived until the experimental endpoint. Vectors show the correlation of each measured factor with PC1 and PC2, with the vector length indicating the relative strength of the correlation. Only statistically significant vectors are shown (multiple regression with Benjamini-Hochberg multiple test correction, p.adj. < 0.05). (B) Plasma concentration of each marker that significantly differed between diets (blood urea nitrogen (BUN), and immune factors sCD14, CXCL1, IL-10, IL-1B, IL-6, and TNF-a) at sacrifice. Pairwise comparisons of concentrations between diets were calculated using Kruskal-Wallis and Dunn’s post hoc tests, with p -value corrections conducted via Benjamini and Hochberg. Boxplot lines (from top to bottom) depict the 75 th , 50 th (median), and 25 th percentiles, with lines extending from the top/bottom of the boxplot indicating the largest/smallest observation within ±1.5∗IQR (inter-quartile range). P-value significance (∗∗∗∗: p < 0.0001, ∗∗∗: p < 0.001, ∗∗: p < 0.01, and ∗: p < 0.05).
    Figure Legend Snippet: Plasma markers of systemic inflammation and kidney injury in CDI mice across diets (A) PCoA of Canberra distances of mean-normalized sepsis/immune marker concentrations. Points are colored by diet, and shapes indicate whether mice were humanely euthanized due to clinical sickness or survived until the experimental endpoint. Vectors show the correlation of each measured factor with PC1 and PC2, with the vector length indicating the relative strength of the correlation. Only statistically significant vectors are shown (multiple regression with Benjamini-Hochberg multiple test correction, p.adj. < 0.05). (B) Plasma concentration of each marker that significantly differed between diets (blood urea nitrogen (BUN), and immune factors sCD14, CXCL1, IL-10, IL-1B, IL-6, and TNF-a) at sacrifice. Pairwise comparisons of concentrations between diets were calculated using Kruskal-Wallis and Dunn’s post hoc tests, with p -value corrections conducted via Benjamini and Hochberg. Boxplot lines (from top to bottom) depict the 75 th , 50 th (median), and 25 th percentiles, with lines extending from the top/bottom of the boxplot indicating the largest/smallest observation within ±1.5∗IQR (inter-quartile range). P-value significance (∗∗∗∗: p < 0.0001, ∗∗∗: p < 0.001, ∗∗: p < 0.01, and ∗: p < 0.05).

    Techniques Used: Clinical Proteomics, Marker, Plasmid Preparation, Concentration Assay

    Related Articles

    Clinical Proteomics:

    Article Title: Non-classical monocyte levels correlate negatively with HIV-associated cerebral small vessel disease and cognitive performance.
    Article Snippet: .. Plasma samples were used to conduct ELISA assays for ICAM (# DY720-05, R and D systems, MN, USA), VCAM (# DY809, R and D systems, MN, USA), sCD14 (# DY383, R and D systems, MN, USA), CD163 (# DY1607, R and D systems, MN, USA), Osteoprotegerin (# DY805, R and D systems, MN, USA) and lipoprotein associated phospholipase A2 (LpPLA2) (# ab235643, Abcam, Cambridge, UK) as per manufacturer’s instructions. ..

    Article Title: Multi-omics links microbial dysbiosis, systemic inflammation and metabolomic disruptions to SNAE risk in treated HIV
    Article Snippet: Concentrations of cytokines were measured in EDTA plasma using a 13-plex (IL-1β, IL-2, IL-5, IL-6, IL-7, IL-8, IL-10, IL-12p70, IL-17A, IL-23, TNFα, IFNγ, and MIP-1β) Luminex panel (Cat. HSTCMAG-28SK, MILLIPLEX) and by ELISA (IL-18) (Cat. DY318-05, R&D systems, MN, USA). .. Biomarkers for gut barrier damage and microbial translocation were measured in EDTA plasma by ELISA including I-FABP (Cat. DFBP20, R&D systems, MN, USA), sCD14 (Cat. QK383, R&D systems, MN, USA), and LBP (Cat. Ab279407, Abcam, Cambridge, UK). ..

    Article Title: Pathogenic SIV infection is associated with acceleration of epigenetic age in rhesus macaques
    Article Snippet: .. Multiple soluble markers were quantified in the plasma of RMs by multiple immunoassays: sCD14 (Quantikine Human sCD14 Immunoassay, R&D Systems); sCD163 (Macro163, IQ Products); and CRP (Monkey CRP ELISA kit, Life Diagnostics). .. D-Dimer was measured with an immunoturbidimetric assay (Liatest D-DI, Diagnostica Stago) using a STAR automated coagulation analyzer (Diagnostica Stago).

    Article Title: Pathogenic SIV infection is associated with acceleration of epigenetic age in rhesus macaques
    Article Snippet: ELISA and Luminex assays. .. Multiple soluble markers were quantified in the plasma of RMs by multiple immunoassays: sCD14 (Quantikine Human sCD14 Immunoassay, R&D Systems); sCD163 (Macro163, IQ Products); and CRP (Monkey CRP ELISA kit, Life Diagnostics). .. D-Dimer was measured with an immunoturbidimetric assay (Liatest D-DI, Diagnostica Stago) using a STAR automated coagulation analyzer (Diagnostica Stago).

    Article Title: Circulating B-cell activating factor in acute coronary syndromes - association with adverse outcomes and progression of heart failure.
    Article Snippet: • Admission BAFF levels are associated with poor prognosis following acute

    Enzyme-linked Immunosorbent Assay:

    Article Title: Non-classical monocyte levels correlate negatively with HIV-associated cerebral small vessel disease and cognitive performance.
    Article Snippet: .. Plasma samples were used to conduct ELISA assays for ICAM (# DY720-05, R and D systems, MN, USA), VCAM (# DY809, R and D systems, MN, USA), sCD14 (# DY383, R and D systems, MN, USA), CD163 (# DY1607, R and D systems, MN, USA), Osteoprotegerin (# DY805, R and D systems, MN, USA) and lipoprotein associated phospholipase A2 (LpPLA2) (# ab235643, Abcam, Cambridge, UK) as per manufacturer’s instructions. ..

    Article Title: Multi-omics links microbial dysbiosis, systemic inflammation and metabolomic disruptions to SNAE risk in treated HIV
    Article Snippet: Concentrations of cytokines were measured in EDTA plasma using a 13-plex (IL-1β, IL-2, IL-5, IL-6, IL-7, IL-8, IL-10, IL-12p70, IL-17A, IL-23, TNFα, IFNγ, and MIP-1β) Luminex panel (Cat. HSTCMAG-28SK, MILLIPLEX) and by ELISA (IL-18) (Cat. DY318-05, R&D systems, MN, USA). .. Biomarkers for gut barrier damage and microbial translocation were measured in EDTA plasma by ELISA including I-FABP (Cat. DFBP20, R&D systems, MN, USA), sCD14 (Cat. QK383, R&D systems, MN, USA), and LBP (Cat. Ab279407, Abcam, Cambridge, UK). ..

    Article Title: Dynamics of antimicrobial proteins’ expression and their bactericidal activity in mouse milk
    Article Snippet: .. Milk Lcn2 (cat. no. DY1857), SAA (cat. no. DY2948-05), sCD14 (cat. no. DY982) were measured via Duoset ELISA kits from R&D Systems according to the manufacturer instructions. ..

    Article Title: Dynamics of antimicrobial proteins' expression and their bactericidal activity in mouse milk.
    Article Snippet: .. Milk Lcn2 (cat. no. DY1857), SAA (cat. no. DY2948-05), sCD14 (cat. no. DY982) were measured via Duoset ELISA kits from R&D Systems according to the manufacturer instructions. ..

    Article Title: Pathogenic SIV infection is associated with acceleration of epigenetic age in rhesus macaques
    Article Snippet: .. Multiple soluble markers were quantified in the plasma of RMs by multiple immunoassays: sCD14 (Quantikine Human sCD14 Immunoassay, R&D Systems); sCD163 (Macro163, IQ Products); and CRP (Monkey CRP ELISA kit, Life Diagnostics). .. D-Dimer was measured with an immunoturbidimetric assay (Liatest D-DI, Diagnostica Stago) using a STAR automated coagulation analyzer (Diagnostica Stago).

    Article Title: Pathogenic SIV infection is associated with acceleration of epigenetic age in rhesus macaques
    Article Snippet: ELISA and Luminex assays. .. Multiple soluble markers were quantified in the plasma of RMs by multiple immunoassays: sCD14 (Quantikine Human sCD14 Immunoassay, R&D Systems); sCD163 (Macro163, IQ Products); and CRP (Monkey CRP ELISA kit, Life Diagnostics). .. D-Dimer was measured with an immunoturbidimetric assay (Liatest D-DI, Diagnostica Stago) using a STAR automated coagulation analyzer (Diagnostica Stago).

    Article Title: Circulating B-cell activating factor in acute coronary syndromes - association with adverse outcomes and progression of heart failure.
    Article Snippet: • Admission BAFF levels are associated with poor prognosis following acute

    Translocation Assay:

    Article Title: Multi-omics links microbial dysbiosis, systemic inflammation and metabolomic disruptions to SNAE risk in treated HIV
    Article Snippet: Concentrations of cytokines were measured in EDTA plasma using a 13-plex (IL-1β, IL-2, IL-5, IL-6, IL-7, IL-8, IL-10, IL-12p70, IL-17A, IL-23, TNFα, IFNγ, and MIP-1β) Luminex panel (Cat. HSTCMAG-28SK, MILLIPLEX) and by ELISA (IL-18) (Cat. DY318-05, R&D systems, MN, USA). .. Biomarkers for gut barrier damage and microbial translocation were measured in EDTA plasma by ELISA including I-FABP (Cat. DFBP20, R&D systems, MN, USA), sCD14 (Cat. QK383, R&D systems, MN, USA), and LBP (Cat. Ab279407, Abcam, Cambridge, UK). ..

    Milk:

    Article Title: Dynamics of antimicrobial proteins’ expression and their bactericidal activity in mouse milk
    Article Snippet: .. Milk Lcn2 (cat. no. DY1857), SAA (cat. no. DY2948-05), sCD14 (cat. no. DY982) were measured via Duoset ELISA kits from R&D Systems according to the manufacturer instructions. ..

    Article Title: Dynamics of antimicrobial proteins' expression and their bactericidal activity in mouse milk.
    Article Snippet: .. Milk Lcn2 (cat. no. DY1857), SAA (cat. no. DY2948-05), sCD14 (cat. no. DY982) were measured via Duoset ELISA kits from R&D Systems according to the manufacturer instructions. ..

    other:

    Article Title: Endotoxin Markers Are Elevated in Adolescents With Obesity With and Without Metabolic Dysfunction-Associated Steatotic Liver Disease.
    Article Snippet: See the T erm s and C onditions (https://onlinelibrary.w iley.com /term s-and-conditions) on W iley O nline L ibrary for rules of use; O A articles are governed by the applicable C reative C om m ons L icense 4 of 10 Pediatric Obesity, 2026 C- reactive protein (CRP, #DCRP00B) and sCD14 (#DC140) were measured using ELISAs from R&D Systems (Minneapolis, MN).



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    Plasma markers of systemic inflammation and kidney injury in CDI mice across diets (A) PCoA of Canberra distances of mean-normalized sepsis/immune marker concentrations. Points are colored by diet, and shapes indicate whether mice were humanely euthanized due to clinical sickness or survived until the experimental endpoint. Vectors show the correlation of each measured factor with PC1 and PC2, with the vector length indicating the relative strength of the correlation. Only statistically significant vectors are shown (multiple regression with Benjamini-Hochberg multiple test correction, p.adj. < 0.05). (B) Plasma concentration of each marker that significantly differed between diets (blood urea nitrogen (BUN), and immune factors <t>sCD14,</t> CXCL1, IL-10, IL-1B, IL-6, and TNF-a) at sacrifice. Pairwise comparisons of concentrations between diets were calculated using Kruskal-Wallis and Dunn’s post hoc tests, with p -value corrections conducted via Benjamini and Hochberg. Boxplot lines (from top to bottom) depict the 75 th , 50 th (median), and 25 th percentiles, with lines extending from the top/bottom of the boxplot indicating the largest/smallest observation within ±1.5∗IQR (inter-quartile range). P-value significance (∗∗∗∗: p < 0.0001, ∗∗∗: p < 0.001, ∗∗: p < 0.01, and ∗: p < 0.05).
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    Plasma markers of systemic inflammation and kidney injury in CDI mice across diets (A) PCoA of Canberra distances of mean-normalized sepsis/immune marker concentrations. Points are colored by diet, and shapes indicate whether mice were humanely euthanized due to clinical sickness or survived until the experimental endpoint. Vectors show the correlation of each measured factor with PC1 and PC2, with the vector length indicating the relative strength of the correlation. Only statistically significant vectors are shown (multiple regression with Benjamini-Hochberg multiple test correction, p.adj. < 0.05). (B) Plasma concentration of each marker that significantly differed between diets (blood urea nitrogen (BUN), and immune factors <t>sCD14,</t> CXCL1, IL-10, IL-1B, IL-6, and TNF-a) at sacrifice. Pairwise comparisons of concentrations between diets were calculated using Kruskal-Wallis and Dunn’s post hoc tests, with p -value corrections conducted via Benjamini and Hochberg. Boxplot lines (from top to bottom) depict the 75 th , 50 th (median), and 25 th percentiles, with lines extending from the top/bottom of the boxplot indicating the largest/smallest observation within ±1.5∗IQR (inter-quartile range). P-value significance (∗∗∗∗: p < 0.0001, ∗∗∗: p < 0.001, ∗∗: p < 0.01, and ∗: p < 0.05).
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    Image Search Results


    Plasma markers of systemic inflammation and kidney injury in CDI mice across diets (A) PCoA of Canberra distances of mean-normalized sepsis/immune marker concentrations. Points are colored by diet, and shapes indicate whether mice were humanely euthanized due to clinical sickness or survived until the experimental endpoint. Vectors show the correlation of each measured factor with PC1 and PC2, with the vector length indicating the relative strength of the correlation. Only statistically significant vectors are shown (multiple regression with Benjamini-Hochberg multiple test correction, p.adj. < 0.05). (B) Plasma concentration of each marker that significantly differed between diets (blood urea nitrogen (BUN), and immune factors sCD14, CXCL1, IL-10, IL-1B, IL-6, and TNF-a) at sacrifice. Pairwise comparisons of concentrations between diets were calculated using Kruskal-Wallis and Dunn’s post hoc tests, with p -value corrections conducted via Benjamini and Hochberg. Boxplot lines (from top to bottom) depict the 75 th , 50 th (median), and 25 th percentiles, with lines extending from the top/bottom of the boxplot indicating the largest/smallest observation within ±1.5∗IQR (inter-quartile range). P-value significance (∗∗∗∗: p < 0.0001, ∗∗∗: p < 0.001, ∗∗: p < 0.01, and ∗: p < 0.05).

    Journal: iScience

    Article Title: Dietary fiber reduces mortality from secondary sepsis in a murine model of Clostridioides difficile infection

    doi: 10.1016/j.isci.2026.115258

    Figure Lengend Snippet: Plasma markers of systemic inflammation and kidney injury in CDI mice across diets (A) PCoA of Canberra distances of mean-normalized sepsis/immune marker concentrations. Points are colored by diet, and shapes indicate whether mice were humanely euthanized due to clinical sickness or survived until the experimental endpoint. Vectors show the correlation of each measured factor with PC1 and PC2, with the vector length indicating the relative strength of the correlation. Only statistically significant vectors are shown (multiple regression with Benjamini-Hochberg multiple test correction, p.adj. < 0.05). (B) Plasma concentration of each marker that significantly differed between diets (blood urea nitrogen (BUN), and immune factors sCD14, CXCL1, IL-10, IL-1B, IL-6, and TNF-a) at sacrifice. Pairwise comparisons of concentrations between diets were calculated using Kruskal-Wallis and Dunn’s post hoc tests, with p -value corrections conducted via Benjamini and Hochberg. Boxplot lines (from top to bottom) depict the 75 th , 50 th (median), and 25 th percentiles, with lines extending from the top/bottom of the boxplot indicating the largest/smallest observation within ±1.5∗IQR (inter-quartile range). P-value significance (∗∗∗∗: p < 0.0001, ∗∗∗: p < 0.001, ∗∗: p < 0.01, and ∗: p < 0.05).

    Article Snippet: Soluble CD14 (sCD14) levels were quantified using the Quantikine Mouse sCD14 ELISA Kit (Catalog No. MC140, R&D Systems, Minneapolis, MN, USA) following the manufacturer’s instructions.

    Techniques: Clinical Proteomics, Marker, Plasmid Preparation, Concentration Assay

    Plasma markers of systemic inflammation and kidney injury in CDI mice across diets (A) PCoA of Canberra distances of mean-normalized sepsis/immune marker concentrations. Points are colored by diet, and shapes indicate whether mice were humanely euthanized due to clinical sickness or survived until the experimental endpoint. Vectors show the correlation of each measured factor with PC1 and PC2, with the vector length indicating the relative strength of the correlation. Only statistically significant vectors are shown (multiple regression with Benjamini-Hochberg multiple test correction, p.adj. < 0.05). (B) Plasma concentration of each marker that significantly differed between diets (blood urea nitrogen (BUN), and immune factors sCD14, CXCL1, IL-10, IL-1B, IL-6, and TNF-a) at sacrifice. Pairwise comparisons of concentrations between diets were calculated using Kruskal-Wallis and Dunn’s post hoc tests, with p -value corrections conducted via Benjamini and Hochberg. Boxplot lines (from top to bottom) depict the 75 th , 50 th (median), and 25 th percentiles, with lines extending from the top/bottom of the boxplot indicating the largest/smallest observation within ±1.5∗IQR (inter-quartile range). P-value significance (∗∗∗∗: p < 0.0001, ∗∗∗: p < 0.001, ∗∗: p < 0.01, and ∗: p < 0.05).

    Journal: iScience

    Article Title: Dietary fiber reduces mortality from secondary sepsis in a murine model of Clostridioides difficile infection

    doi: 10.1016/j.isci.2026.115258

    Figure Lengend Snippet: Plasma markers of systemic inflammation and kidney injury in CDI mice across diets (A) PCoA of Canberra distances of mean-normalized sepsis/immune marker concentrations. Points are colored by diet, and shapes indicate whether mice were humanely euthanized due to clinical sickness or survived until the experimental endpoint. Vectors show the correlation of each measured factor with PC1 and PC2, with the vector length indicating the relative strength of the correlation. Only statistically significant vectors are shown (multiple regression with Benjamini-Hochberg multiple test correction, p.adj. < 0.05). (B) Plasma concentration of each marker that significantly differed between diets (blood urea nitrogen (BUN), and immune factors sCD14, CXCL1, IL-10, IL-1B, IL-6, and TNF-a) at sacrifice. Pairwise comparisons of concentrations between diets were calculated using Kruskal-Wallis and Dunn’s post hoc tests, with p -value corrections conducted via Benjamini and Hochberg. Boxplot lines (from top to bottom) depict the 75 th , 50 th (median), and 25 th percentiles, with lines extending from the top/bottom of the boxplot indicating the largest/smallest observation within ±1.5∗IQR (inter-quartile range). P-value significance (∗∗∗∗: p < 0.0001, ∗∗∗: p < 0.001, ∗∗: p < 0.01, and ∗: p < 0.05).

    Article Snippet: Quantikine ELISA Mouse Immunoassay – sCD14 , RnD Systems , MC140.

    Techniques: Clinical Proteomics, Marker, Plasmid Preparation, Concentration Assay

    Systemic inflammation was associated with impaired intestinal barrier function in DKD patients. (A, B) Plasma TNF‐α and IL‐6 were analyzed by ELISA measurements. (C, D) Gut barrier function was assessed using ZO‐1 and sCD14 ELISA measurements in plasma. (E–H) Inflammation and leaky gut indicators were associated using Spearman correlation analysis. * p ≤ 0.05; ** p ≤ 0.01.

    Journal: Journal of Diabetes

    Article Title: Inflammation in Diabetic Kidney Disease Is Linked to Gut Dysbiosis and Metabolite Imbalance

    doi: 10.1111/1753-0407.70175

    Figure Lengend Snippet: Systemic inflammation was associated with impaired intestinal barrier function in DKD patients. (A, B) Plasma TNF‐α and IL‐6 were analyzed by ELISA measurements. (C, D) Gut barrier function was assessed using ZO‐1 and sCD14 ELISA measurements in plasma. (E–H) Inflammation and leaky gut indicators were associated using Spearman correlation analysis. * p ≤ 0.05; ** p ≤ 0.01.

    Article Snippet: Tumor necrosis factor‐a (TNF‐α), interleukin‐6 (IL‐6), zona occludens‐1 (ZO‐1), and soluble CD14 (sCD14) were analyzed in patients' serum using the human TNF‐α, IL‐6, ZO‐1, and sCD14 ELISA kit (Elabscience, China), according to the manufacturer's protocol.

    Techniques: Clinical Proteomics, Enzyme-linked Immunosorbent Assay