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spd l2  (R&D Systems)


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    R&D Systems spd l2
    Spd L2, supplied by R&D Systems, used in various techniques. Bioz Stars score: 94/100, based on 6 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/spd l2/product/R&D Systems
    Average 94 stars, based on 6 article reviews
    spd l2 - by Bioz Stars, 2026-06
    94/100 stars

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    Circulating levels of cytokines and soluble immune checkpoints in patients suffering from endometriosis. The concentration of cytokines ( A ) IL-4, IL-2, IL-1β, IL-6, IL-10, IFN-γ, IL-12p70, IL-17A, TNF, TGF-β1, IP-10(CXCL10), MCP-1(CCL2) and IL-8 and soluble immune checkpoints ( B ) sSiglec-5, sB7.2(CD86), sCD25, sPD-L2, Galectin-9, sPD-L1, sTim-3, sCTLA-4, sPD-1, s4-1BB, sCD27, and sLAG3 was analyzed in blood soluble fractions of controls (women scheduled for salpingectomy with contraception purposes) and patients diagnosed with endometriosis. Data are shown as box and whiskers showing quartiles. Comparisons between the two groups of participants were performed by Mann–Whitney test. P values are represented as * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001.

    Journal: Scientific Reports

    Article Title: Identification of a circulating immunological signature as a liquid biopsy approach for the diagnosis of endometriosis

    doi: 10.1038/s41598-026-36464-8

    Figure Lengend Snippet: Circulating levels of cytokines and soluble immune checkpoints in patients suffering from endometriosis. The concentration of cytokines ( A ) IL-4, IL-2, IL-1β, IL-6, IL-10, IFN-γ, IL-12p70, IL-17A, TNF, TGF-β1, IP-10(CXCL10), MCP-1(CCL2) and IL-8 and soluble immune checkpoints ( B ) sSiglec-5, sB7.2(CD86), sCD25, sPD-L2, Galectin-9, sPD-L1, sTim-3, sCTLA-4, sPD-1, s4-1BB, sCD27, and sLAG3 was analyzed in blood soluble fractions of controls (women scheduled for salpingectomy with contraception purposes) and patients diagnosed with endometriosis. Data are shown as box and whiskers showing quartiles. Comparisons between the two groups of participants were performed by Mann–Whitney test. P values are represented as * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001.

    Article Snippet: The concentration of cytokines ( A ) IL-4, IL-2, IL-1β, IL-6, IL-10, IFN-γ, IL-12p70, IL-17A, TNF, TGF-β1, IP-10(CXCL10), MCP-1(CCL2) and IL-8 and soluble immune checkpoints ( B ) sSiglec-5, sB7.2(CD86), sCD25, sPD-L2, Galectin-9, sPD-L1, sTim-3, sCTLA-4, sPD-1, s4-1BB, sCD27, and sLAG3 was analyzed in blood soluble fractions of controls (women scheduled for salpingectomy with contraception purposes) and patients diagnosed with endometriosis.

    Techniques: Concentration Assay, MANN-WHITNEY

    Regression model considering circulating immunological factors identify patients suffering from endometriosis. Wald backward stepwise regression, including as variables those statistically different in Fig. (TNF, TGF-β1, IP-10, MCP-1, IL-8, sCD25, sPD-L2, Galectin-9, sPD-L1, sTim-3, sCTLA-4, sPD-1, s4-1BB, sCD27 and sLAG-3) was performed. ( A ) Optimal model differentiating patients suffering from endometriosis from controls (women scheduled for salpingectomy with contraception purposes). ( B ) ROC curve analysis for identification of endometriosis. C Distribution of controls and patients diagnosed with endometriosis according to the score generated as the optimal Youden index from the ROC curve in B. Area under the curve (AUC) is shown, as well as sensitivity and specificity of 95% confidence intervals are shown in brackets. **** p < 0.0001, Mann–Whitney test.

    Journal: Scientific Reports

    Article Title: Identification of a circulating immunological signature as a liquid biopsy approach for the diagnosis of endometriosis

    doi: 10.1038/s41598-026-36464-8

    Figure Lengend Snippet: Regression model considering circulating immunological factors identify patients suffering from endometriosis. Wald backward stepwise regression, including as variables those statistically different in Fig. (TNF, TGF-β1, IP-10, MCP-1, IL-8, sCD25, sPD-L2, Galectin-9, sPD-L1, sTim-3, sCTLA-4, sPD-1, s4-1BB, sCD27 and sLAG-3) was performed. ( A ) Optimal model differentiating patients suffering from endometriosis from controls (women scheduled for salpingectomy with contraception purposes). ( B ) ROC curve analysis for identification of endometriosis. C Distribution of controls and patients diagnosed with endometriosis according to the score generated as the optimal Youden index from the ROC curve in B. Area under the curve (AUC) is shown, as well as sensitivity and specificity of 95% confidence intervals are shown in brackets. **** p < 0.0001, Mann–Whitney test.

    Article Snippet: The concentration of cytokines ( A ) IL-4, IL-2, IL-1β, IL-6, IL-10, IFN-γ, IL-12p70, IL-17A, TNF, TGF-β1, IP-10(CXCL10), MCP-1(CCL2) and IL-8 and soluble immune checkpoints ( B ) sSiglec-5, sB7.2(CD86), sCD25, sPD-L2, Galectin-9, sPD-L1, sTim-3, sCTLA-4, sPD-1, s4-1BB, sCD27, and sLAG3 was analyzed in blood soluble fractions of controls (women scheduled for salpingectomy with contraception purposes) and patients diagnosed with endometriosis.

    Techniques: Generated, MANN-WHITNEY

    Regression model including age and BMI generates a minimal signature of clinical application for the diagnosis of endometriosis. Wald backward stepwise regression, including as variables those immunological factors statistically different in Fig. (TGF-β1, TNF, IP-10, MCP-1, IL-8, sCD25, sPD-L2, Galectin-9, sPD-L1, sPD-1, sCTLA-4, sTim-3, s4-1BB, sCD27 and sLAG-3) plus age and body mass index (BMI) of the participants was performed. ( A ) Optimal model differentiating patients suffering from endometriosis from controls (women scheduled for salpingectomy with contraception purposes). ( B ) ROC curve analysis for identification of endometriosis. ( C ) Distribution of controls and patients diagnosed with endometriosis according to the score generated as the optimal Youden index from the ROC curve in B. Area under the curve (AUC) is shown, as well as sensitivity and specificity of 95% confidence intervals are shown in brackets. **** p < 0.0001, Mann–Whitney test.

    Journal: Scientific Reports

    Article Title: Identification of a circulating immunological signature as a liquid biopsy approach for the diagnosis of endometriosis

    doi: 10.1038/s41598-026-36464-8

    Figure Lengend Snippet: Regression model including age and BMI generates a minimal signature of clinical application for the diagnosis of endometriosis. Wald backward stepwise regression, including as variables those immunological factors statistically different in Fig. (TGF-β1, TNF, IP-10, MCP-1, IL-8, sCD25, sPD-L2, Galectin-9, sPD-L1, sPD-1, sCTLA-4, sTim-3, s4-1BB, sCD27 and sLAG-3) plus age and body mass index (BMI) of the participants was performed. ( A ) Optimal model differentiating patients suffering from endometriosis from controls (women scheduled for salpingectomy with contraception purposes). ( B ) ROC curve analysis for identification of endometriosis. ( C ) Distribution of controls and patients diagnosed with endometriosis according to the score generated as the optimal Youden index from the ROC curve in B. Area under the curve (AUC) is shown, as well as sensitivity and specificity of 95% confidence intervals are shown in brackets. **** p < 0.0001, Mann–Whitney test.

    Article Snippet: The concentration of cytokines ( A ) IL-4, IL-2, IL-1β, IL-6, IL-10, IFN-γ, IL-12p70, IL-17A, TNF, TGF-β1, IP-10(CXCL10), MCP-1(CCL2) and IL-8 and soluble immune checkpoints ( B ) sSiglec-5, sB7.2(CD86), sCD25, sPD-L2, Galectin-9, sPD-L1, sTim-3, sCTLA-4, sPD-1, s4-1BB, sCD27, and sLAG3 was analyzed in blood soluble fractions of controls (women scheduled for salpingectomy with contraception purposes) and patients diagnosed with endometriosis.

    Techniques: Biomarker Discovery, Generated, MANN-WHITNEY

    Univariable and multivariable linear regression analysis of baseline characteristics with serum levels of circulating immune checkpoint ligands in heart failure patients.

    Journal: ESC Heart Failure

    Article Title: Circulating immune checkpoints predict heart failure outcomes

    doi: 10.1002/ehf2.14304

    Figure Lengend Snippet: Univariable and multivariable linear regression analysis of baseline characteristics with serum levels of circulating immune checkpoint ligands in heart failure patients.

    Article Snippet: Circulating levels of sPD‐L1 (Abcam, ab214565), sPD‐L2 (Invitrogen, BMS2215), and galectin‐9 (R&D Systems, DGAL90) were measured according to the manufacturer's protocol in sera of stable outpatient HF patients from The Vitamin D Chronic Heart Failure (VitD‐CHF) study ( n = 101).

    Techniques: