soluble cd14 scd14  (Elabscience Biotechnology)

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

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

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

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