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dip100 quantikine immunoassay  (R&D Systems)


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    R&D Systems dip100 quantikine immunoassay
    Dip100 Quantikine Immunoassay, supplied by R&D Systems, used in various techniques. Bioz Stars score: 96/100, based on 176 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/quantikine+human+immunoassay/us12601747-328-9-26?v=R%26D+Systems
    Average 96 stars, based on 176 article reviews
    dip100 quantikine immunoassay - by Bioz Stars, 2026-08
    96/100 stars

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    a, Young mice were pretreated with ABx for 2 weeks, and then colonized with Clos for 4 weeks ( n □=□6). b, qPCR shows transcriptional alterations of CDK inhibitors Cdkn2a , Cdkn2d , and Cdkn1a in tPVAT from Clos -mice ( n = 6) and vehicle-mice ( n = 6). c, Representative confocal immunofluorescence images of p16 INK4A in tPVAT from these mice ( n = 5). d, Relative protein expression analysis of SASP components in tPVAT from Clos -mice ( n = 5) and vehicle-mice ( n = 5). e, Young mice were administered to PAA (50 mg/kg, i.p. ) daily for 4 weeks ( n □=□6). f, Representative immunoblots and quantification of intensities for CDK inhibitors p16 INK4A , p19 INK4D , and p21 WAF1/Cip1 and DNA damage marker γ-H2A.X in tPVAT from these mice ( n = 6). g, Representative confocal images of p16 INK4A in tPVAT from these mice ( n = 6). h, Immunoblotting represents the expression of the SASP components IL-1β, <t>IL-6,</t> and CCL2 in tPVAT from PAA-or vehicle-treated mice ( n = 6). Data were determined in 8-10 micrographs and represent triplicated biologically independent experiments ( c,g ). Scale bars, 20 and 200 μm ( c,g ). Error bars represent SD ( b,d,f,h ). P values were calculated using a two-tailed unpaired Student’s t -test ( b,d,f,h ). Images created with https://BioRender.com ( a,e ). (* P <0.05, ** P <0.01, *** P <0.001, **** P <0.0001).
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    Image Search Results


    Salivary PTX3, calprotectin, and IL-8 are elevated in early-onset neonatal pneumonia (EONP) and show strong case—control discrimination. (A – C) Distributions of salivary PTX3, calprotectin, and IL-8 in EONP vs. healthy controls (medians with IQRs; Mann–Whitney tests, all P < 0.001). (D – F) ROC curves for each single biomarker with optimal cutoffs (PTX3 ≥ 1.38 ng/mL; calprotectin ≥5.49 ng/mL; IL-8 ≥ 8.69 pg/mL). The solid line denotes the ROC curve and the dashed lines indicate the 95% confidence interval (lower and upper limits). (G) ROC curves for the three-marker combined model (logistic regression using PTX3, calprotectin, and IL-8). The combined model achieved an apparent AUC of 0.978, and internally validated performance is overlaid (LOOCV and 5-fold cross-validation), demonstrating minimal performance degradation.

    Journal: Frontiers in Pediatrics

    Article Title: Noninvasive salivary biomarkers (PTX3, calprotectin, and IL-8) for early-onset neonatal pneumonia: case-control differences and exploratory discrimination

    doi: 10.3389/fped.2026.1747967

    Figure Lengend Snippet: Salivary PTX3, calprotectin, and IL-8 are elevated in early-onset neonatal pneumonia (EONP) and show strong case—control discrimination. (A – C) Distributions of salivary PTX3, calprotectin, and IL-8 in EONP vs. healthy controls (medians with IQRs; Mann–Whitney tests, all P < 0.001). (D – F) ROC curves for each single biomarker with optimal cutoffs (PTX3 ≥ 1.38 ng/mL; calprotectin ≥5.49 ng/mL; IL-8 ≥ 8.69 pg/mL). The solid line denotes the ROC curve and the dashed lines indicate the 95% confidence interval (lower and upper limits). (G) ROC curves for the three-marker combined model (logistic regression using PTX3, calprotectin, and IL-8). The combined model achieved an apparent AUC of 0.978, and internally validated performance is overlaid (LOOCV and 5-fold cross-validation), demonstrating minimal performance degradation.

    Article Snippet: Salivary PTX3, calprotectin, and IL-8 concentrations were measured using commercial ELISA kits according to the manufacturers' instructions: PTX3 with the QuantikineTM Human Pentraxin 3 Immunoassay (R&D Systems, Cat. DPTX30B); calprotectin with the Quantikine® Human Calprotectin Heterodimer Immunoassay (R&D Systems, Cat. DS8900); and IL-8 with the LEGEND MAXTM High Sensitivity Human IL-8 ELISA Kit (BioLegend, Cat. 431517).

    Techniques: Control, MANN-WHITNEY, Biomarker Discovery, Marker

    Salivary biomarkers are inter-correlated and track systemic inflammation in EONP. (A) Pairwise correlations among salivary PTX3, calprotectin, and IL-8 in EONP (Spearman r , all P < 0.001). (B) Corresponding correlations in healthy controls (all P > 0.05). (C) Heatmap of Spearman correlations between salivary biomarkers and systemic indices (hs-CRP, serum PCT, serum IL-6, WBC, ANC, I/T ratio, platelets) in EONP, showing moderate-to-strong positive associations with inflammatory markers and inverse associations with platelets (panel labels show exact r ).

    Journal: Frontiers in Pediatrics

    Article Title: Noninvasive salivary biomarkers (PTX3, calprotectin, and IL-8) for early-onset neonatal pneumonia: case-control differences and exploratory discrimination

    doi: 10.3389/fped.2026.1747967

    Figure Lengend Snippet: Salivary biomarkers are inter-correlated and track systemic inflammation in EONP. (A) Pairwise correlations among salivary PTX3, calprotectin, and IL-8 in EONP (Spearman r , all P < 0.001). (B) Corresponding correlations in healthy controls (all P > 0.05). (C) Heatmap of Spearman correlations between salivary biomarkers and systemic indices (hs-CRP, serum PCT, serum IL-6, WBC, ANC, I/T ratio, platelets) in EONP, showing moderate-to-strong positive associations with inflammatory markers and inverse associations with platelets (panel labels show exact r ).

    Article Snippet: Salivary PTX3, calprotectin, and IL-8 concentrations were measured using commercial ELISA kits according to the manufacturers' instructions: PTX3 with the QuantikineTM Human Pentraxin 3 Immunoassay (R&D Systems, Cat. DPTX30B); calprotectin with the Quantikine® Human Calprotectin Heterodimer Immunoassay (R&D Systems, Cat. DS8900); and IL-8 with the LEGEND MAXTM High Sensitivity Human IL-8 ELISA Kit (BioLegend, Cat. 431517).

    Techniques:

    Salivary biomarkers modestly enrich for blood-culture-positive bacteremia within EONP. (A – C) Salivary PTX3, calprotectin, and IL-8 in culture-positive vs. culture-negative EONP cases (medians with IQRs; Mann–Whitney P < 0.001, =0.003, =0.002, respectively). (D – F) ROC curves for bacteremia detection using single salivary markers with optimal cutoffs (PTX3 ≥ 2.51 ng/mL; calprotectin ≥14.57 ng/mL; IL-8 ≥ 18.97 pg/mL), yielding AUCs 0.725, 0.682, and 0.689, respectively. The solid line denotes the ROC curve and the dashed lines indicate the 95% confidence interval (lower and upper limits). (G) ROC curves for the three-marker combined model (logistic regression using PTX3, calprotectin, and IL-8). The combined model achieved an apparent AUC of 0.702, with internally validated AUCs of 0.706 (5-fold cross-validation) and 0.702 (LOOCV), indicating stable but moderate enrichment performance.

    Journal: Frontiers in Pediatrics

    Article Title: Noninvasive salivary biomarkers (PTX3, calprotectin, and IL-8) for early-onset neonatal pneumonia: case-control differences and exploratory discrimination

    doi: 10.3389/fped.2026.1747967

    Figure Lengend Snippet: Salivary biomarkers modestly enrich for blood-culture-positive bacteremia within EONP. (A – C) Salivary PTX3, calprotectin, and IL-8 in culture-positive vs. culture-negative EONP cases (medians with IQRs; Mann–Whitney P < 0.001, =0.003, =0.002, respectively). (D – F) ROC curves for bacteremia detection using single salivary markers with optimal cutoffs (PTX3 ≥ 2.51 ng/mL; calprotectin ≥14.57 ng/mL; IL-8 ≥ 18.97 pg/mL), yielding AUCs 0.725, 0.682, and 0.689, respectively. The solid line denotes the ROC curve and the dashed lines indicate the 95% confidence interval (lower and upper limits). (G) ROC curves for the three-marker combined model (logistic regression using PTX3, calprotectin, and IL-8). The combined model achieved an apparent AUC of 0.702, with internally validated AUCs of 0.706 (5-fold cross-validation) and 0.702 (LOOCV), indicating stable but moderate enrichment performance.

    Article Snippet: Salivary PTX3, calprotectin, and IL-8 concentrations were measured using commercial ELISA kits according to the manufacturers' instructions: PTX3 with the QuantikineTM Human Pentraxin 3 Immunoassay (R&D Systems, Cat. DPTX30B); calprotectin with the Quantikine® Human Calprotectin Heterodimer Immunoassay (R&D Systems, Cat. DS8900); and IL-8 with the LEGEND MAXTM High Sensitivity Human IL-8 ELISA Kit (BioLegend, Cat. 431517).

    Techniques: MANN-WHITNEY, Marker, Biomarker Discovery

    a, Young mice were pretreated with ABx for 2 weeks, and then colonized with Clos for 4 weeks ( n □=□6). b, qPCR shows transcriptional alterations of CDK inhibitors Cdkn2a , Cdkn2d , and Cdkn1a in tPVAT from Clos -mice ( n = 6) and vehicle-mice ( n = 6). c, Representative confocal immunofluorescence images of p16 INK4A in tPVAT from these mice ( n = 5). d, Relative protein expression analysis of SASP components in tPVAT from Clos -mice ( n = 5) and vehicle-mice ( n = 5). e, Young mice were administered to PAA (50 mg/kg, i.p. ) daily for 4 weeks ( n □=□6). f, Representative immunoblots and quantification of intensities for CDK inhibitors p16 INK4A , p19 INK4D , and p21 WAF1/Cip1 and DNA damage marker γ-H2A.X in tPVAT from these mice ( n = 6). g, Representative confocal images of p16 INK4A in tPVAT from these mice ( n = 6). h, Immunoblotting represents the expression of the SASP components IL-1β, IL-6, and CCL2 in tPVAT from PAA-or vehicle-treated mice ( n = 6). Data were determined in 8-10 micrographs and represent triplicated biologically independent experiments ( c,g ). Scale bars, 20 and 200 μm ( c,g ). Error bars represent SD ( b,d,f,h ). P values were calculated using a two-tailed unpaired Student’s t -test ( b,d,f,h ). Images created with https://BioRender.com ( a,e ). (* P <0.05, ** P <0.01, *** P <0.001, **** P <0.0001).

    Journal: bioRxiv

    Article Title: Gut Microbiota Production of Phenylacetate Programs Vascular Niche Senescence and Drives Atherosclerosis

    doi: 10.64898/2026.02.27.708541

    Figure Lengend Snippet: a, Young mice were pretreated with ABx for 2 weeks, and then colonized with Clos for 4 weeks ( n □=□6). b, qPCR shows transcriptional alterations of CDK inhibitors Cdkn2a , Cdkn2d , and Cdkn1a in tPVAT from Clos -mice ( n = 6) and vehicle-mice ( n = 6). c, Representative confocal immunofluorescence images of p16 INK4A in tPVAT from these mice ( n = 5). d, Relative protein expression analysis of SASP components in tPVAT from Clos -mice ( n = 5) and vehicle-mice ( n = 5). e, Young mice were administered to PAA (50 mg/kg, i.p. ) daily for 4 weeks ( n □=□6). f, Representative immunoblots and quantification of intensities for CDK inhibitors p16 INK4A , p19 INK4D , and p21 WAF1/Cip1 and DNA damage marker γ-H2A.X in tPVAT from these mice ( n = 6). g, Representative confocal images of p16 INK4A in tPVAT from these mice ( n = 6). h, Immunoblotting represents the expression of the SASP components IL-1β, IL-6, and CCL2 in tPVAT from PAA-or vehicle-treated mice ( n = 6). Data were determined in 8-10 micrographs and represent triplicated biologically independent experiments ( c,g ). Scale bars, 20 and 200 μm ( c,g ). Error bars represent SD ( b,d,f,h ). P values were calculated using a two-tailed unpaired Student’s t -test ( b,d,f,h ). Images created with https://BioRender.com ( a,e ). (* P <0.05, ** P <0.01, *** P <0.001, **** P <0.0001).

    Article Snippet: Cell culture supernatants were assessed for IL-6 using a QuantikineTM ELISA Human IL-6 Immunoassay kit (R&D Systems, D6050), according to the manufacturer’s instructions.

    Techniques: Immunofluorescence, Expressing, Western Blot, Marker, Two Tailed Test

    a, IL-6 concentration in culture medium derived from replicative senescent or proliferating ECs treated with PAA (10 μM) or vehicle for 72 h ( n □=□10 biologically independent samples). b, Representative immunoblots demonstrate the expression of NOTCH1 and downstream targets N1ICD and HES1 in hADSC-adipocytes exposed to CM derived from vehicle- or PAA-treated ECs ( n = 6). c,d, Immunoblotting for NOTCH1 ( c ) and the insulin signaling pathway ( d ) in insulin-stimulated adipocytes treated with PAA-CM in the presence or absence of anti-IL6R neutralizing antibody, Tocilizumab (100 μg/mL) ( n = 6). e,f, Immunoblotting for the insulin signaling pathway ( e ) and thermogenic markers UCP1 and PGC1α ( f ) in adipocytes treated with PAA-CM in the presence or absence of Notch inhibitor, DAPT (10 µM) ( n = 6). g, qPCR represents transcriptional changes of thermogenic markers Ucp1 and Ppargc1a in PAA-CM-exposed adipocytes transfected with siHES1 or siNeg ( n = 6). h, Summary scheme outlining the mechanisms of microbial metabolite PAA for triggering adipocyte dysfunction. PAA indirectly activates NOTCH1 and its downstream HES1 in adipocytes by releasing senescence-messaging secretome containing IL6 from adjacent ECs. This both downregulates thermogenic function and the insulin signaling pathway in adipocytes. Error bars represent SD ( a-g ). P values were calculated using one-way ANOVA followed by Tukey’s post hoc test ( a ) and a two-tailed unpaired Student’s t -test ( b-g ). Image created with https://BioRender.com ( h ).

    Journal: bioRxiv

    Article Title: Gut Microbiota Production of Phenylacetate Programs Vascular Niche Senescence and Drives Atherosclerosis

    doi: 10.64898/2026.02.27.708541

    Figure Lengend Snippet: a, IL-6 concentration in culture medium derived from replicative senescent or proliferating ECs treated with PAA (10 μM) or vehicle for 72 h ( n □=□10 biologically independent samples). b, Representative immunoblots demonstrate the expression of NOTCH1 and downstream targets N1ICD and HES1 in hADSC-adipocytes exposed to CM derived from vehicle- or PAA-treated ECs ( n = 6). c,d, Immunoblotting for NOTCH1 ( c ) and the insulin signaling pathway ( d ) in insulin-stimulated adipocytes treated with PAA-CM in the presence or absence of anti-IL6R neutralizing antibody, Tocilizumab (100 μg/mL) ( n = 6). e,f, Immunoblotting for the insulin signaling pathway ( e ) and thermogenic markers UCP1 and PGC1α ( f ) in adipocytes treated with PAA-CM in the presence or absence of Notch inhibitor, DAPT (10 µM) ( n = 6). g, qPCR represents transcriptional changes of thermogenic markers Ucp1 and Ppargc1a in PAA-CM-exposed adipocytes transfected with siHES1 or siNeg ( n = 6). h, Summary scheme outlining the mechanisms of microbial metabolite PAA for triggering adipocyte dysfunction. PAA indirectly activates NOTCH1 and its downstream HES1 in adipocytes by releasing senescence-messaging secretome containing IL6 from adjacent ECs. This both downregulates thermogenic function and the insulin signaling pathway in adipocytes. Error bars represent SD ( a-g ). P values were calculated using one-way ANOVA followed by Tukey’s post hoc test ( a ) and a two-tailed unpaired Student’s t -test ( b-g ). Image created with https://BioRender.com ( h ).

    Article Snippet: Cell culture supernatants were assessed for IL-6 using a QuantikineTM ELISA Human IL-6 Immunoassay kit (R&D Systems, D6050), according to the manufacturer’s instructions.

    Techniques: Concentration Assay, Derivative Assay, Western Blot, Expressing, Transfection, Two Tailed Test

    a, Clos -colonized young mice received a senolytic cocktail containing Dasatinib + Quercetin (5 + 50 mg/kg/d) for 3 days, followed by a 7-day resting period ( n □=□6). b, Representative immunoblots for CDK inhibitors p16 INK4A , p19 INK4D , and p21 WAF1/Cip1 and DNA damage marker γ-H2A.X in tPVAT from Clos -colonized mice treated with D+Q or vehicle ( n = 6). c,d, Representative confocal immunofluorescence images of IL-6 ( c ) and bright-field SA-β-gal staining images ( d ) in tPVAT from these mice ( n = 6). e, Representative confocal images of NOTCH1 in tPVAT from these mice ( n = 6). f,g, Immunoblotting for the insulin signaling pathway ( f ) and thermogenic markers UCP1 and PGC1α ( g ) in tPVAT from Clos -colonized mice treated with D+Q or vehicle ( n = 6). Data were determined in 8-10 micrographs and represent triplicated biologically independent experiments. Scale bar, 50, 100, and 200 μm ( c,d,e ). Error bars represent SD ( b,d,f,g ). P values were calculated using a two-tailed unpaired Student’s t -test ( b,d,f,g ). Images created with https://BioRender.com ( a ).

    Journal: bioRxiv

    Article Title: Gut Microbiota Production of Phenylacetate Programs Vascular Niche Senescence and Drives Atherosclerosis

    doi: 10.64898/2026.02.27.708541

    Figure Lengend Snippet: a, Clos -colonized young mice received a senolytic cocktail containing Dasatinib + Quercetin (5 + 50 mg/kg/d) for 3 days, followed by a 7-day resting period ( n □=□6). b, Representative immunoblots for CDK inhibitors p16 INK4A , p19 INK4D , and p21 WAF1/Cip1 and DNA damage marker γ-H2A.X in tPVAT from Clos -colonized mice treated with D+Q or vehicle ( n = 6). c,d, Representative confocal immunofluorescence images of IL-6 ( c ) and bright-field SA-β-gal staining images ( d ) in tPVAT from these mice ( n = 6). e, Representative confocal images of NOTCH1 in tPVAT from these mice ( n = 6). f,g, Immunoblotting for the insulin signaling pathway ( f ) and thermogenic markers UCP1 and PGC1α ( g ) in tPVAT from Clos -colonized mice treated with D+Q or vehicle ( n = 6). Data were determined in 8-10 micrographs and represent triplicated biologically independent experiments. Scale bar, 50, 100, and 200 μm ( c,d,e ). Error bars represent SD ( b,d,f,g ). P values were calculated using a two-tailed unpaired Student’s t -test ( b,d,f,g ). Images created with https://BioRender.com ( a ).

    Article Snippet: Cell culture supernatants were assessed for IL-6 using a QuantikineTM ELISA Human IL-6 Immunoassay kit (R&D Systems, D6050), according to the manufacturer’s instructions.

    Techniques: Western Blot, Marker, Immunofluorescence, Staining, Two Tailed Test

    a,b, Plasma samples from aged ASCVD patients (>80 years old) enrolled in the ASCVD cohort ( n = 110; male and female) and healthy controls ( n = 77; male and female) were subjected to targeted metabolomics for PAA quantification. c, Adjusted regression models for the association of PAA with atherosclerosis in the ASCVD cohort ( n □=□187). Effect estimates were controlled for age, sex, smoking, alcohol, family history of CVD, LDL-C, triglycerides, HDL-C, Hb1Ac, CRP, troponin T, and NT-proBNP. Error bars show 95% confidence intervals. OR, odds ratio. d, Ldlr −/− and WT mice were fed chow (for 8 weeks) or Western diet (for 12 weeks). WC: WT + chow diet; WW: WT + Western diet; LC: Ldlr −/− + chow diet; LW: Ldlr −/− + Western diet. e, Plasma PAA levels in these mice quantified by LC-MS/MS targeted metabolomics ( n □=□5). f, Representative images (left) and quantification (right) of H&E staining of aortic root lesions ( n □=□5). Arrowheads indicate plaque areas. g, Correlation of plasma PAA levels with aortic root lesion area and luminal occlusion (%). h, Representative immunoblots and quantification of intensities for the CDK inhibitor p16 INK4A , the SASP component IL-6, DNA damage marker γ-H2A.X, and the endothelial function marker phosphorylated eNOS S1177 in aortas from Ldlr −/− and WT mice fed a chow or Western diet for 12 weeks ( n = 5). i, Expression of CDKN1A , IL1B , and IL6 genes (upper) and co-expression of the senescence-associated genes in atherosclerotic aortic wall (AOR) of patients with CAD ( n □=□600) and healthy individuals ( n □=□250) in the STARNET database. j,k,l, Representative immunoblots and quantification of intensities for senescence hallmarks ( j ), insulin signaling pathway ( k ), and thermogenic markers ( l ) in tPVAT from Ldlr −/− and WT mice fed a chow or Western diet for 12 weeks ( n = 5). m, Plasma and aortic PVAT samples were collected from the validation study, including aged CAD patients undergoing CABG surgery ( n □=□5) and non-CAD controls ( n □=□5), for LC-MS/MS PAA quantification and senescence studies. n, Plasma PAA concentrations in aged CAD patients ( n □=□5) and non-CAD controls ( n □=□5). o,p,q, Representative immunoblots and quantification of intensities for senescence hallmarks ( o ), NOTCH1 and thermogenic markers ( p ), and insulin signaling pathway ( q ) in aortic PVAT from the individuals in the validation study ( n = 5). r, PAA was administered (PAA) or not (Ctrl) to chow-fed Ldlr −/− mice for 8 weeks. s, Quantification of H&E-stained aortic root lesion area (left) and aortic occlusion (right). Total cholesterol concentrations in plasma ( n = 5). t, Representative immunoblots and quantification of intensities for senescence hallmarks p16 INK4A , IL-6, and γ-H2A.X in aortas (left) and tPVAT (right). Data were determined in 8-10 micrographs and represent triplicated biologically independent experiments. Scale bar, 200 μm ( f ). Error bars represent SD ( h,j-l,o-t ). P values were calculated using two-tailed Mann–Whitney U -test ( b ), one-way ANOVA followed by Tukey’s post hoc test ( e,f,h,j-l ), Welch’s t-test ( i ), and a two-tailed unpaired Student’s t -test ( n-t ). Correlation coefficient and P values were calculated by Spearman’s rank-order correlation test ( g ). Data are shown as median with min–max; each violin represents interquartile range (IQR); center lines indicate the median; upper and lower lines are bounded by 25th and 75th percentiles ( b , n ). Images created with https://BioRender.com ( a,d,m,r ).

    Journal: bioRxiv

    Article Title: Gut Microbiota Production of Phenylacetate Programs Vascular Niche Senescence and Drives Atherosclerosis

    doi: 10.64898/2026.02.27.708541

    Figure Lengend Snippet: a,b, Plasma samples from aged ASCVD patients (>80 years old) enrolled in the ASCVD cohort ( n = 110; male and female) and healthy controls ( n = 77; male and female) were subjected to targeted metabolomics for PAA quantification. c, Adjusted regression models for the association of PAA with atherosclerosis in the ASCVD cohort ( n □=□187). Effect estimates were controlled for age, sex, smoking, alcohol, family history of CVD, LDL-C, triglycerides, HDL-C, Hb1Ac, CRP, troponin T, and NT-proBNP. Error bars show 95% confidence intervals. OR, odds ratio. d, Ldlr −/− and WT mice were fed chow (for 8 weeks) or Western diet (for 12 weeks). WC: WT + chow diet; WW: WT + Western diet; LC: Ldlr −/− + chow diet; LW: Ldlr −/− + Western diet. e, Plasma PAA levels in these mice quantified by LC-MS/MS targeted metabolomics ( n □=□5). f, Representative images (left) and quantification (right) of H&E staining of aortic root lesions ( n □=□5). Arrowheads indicate plaque areas. g, Correlation of plasma PAA levels with aortic root lesion area and luminal occlusion (%). h, Representative immunoblots and quantification of intensities for the CDK inhibitor p16 INK4A , the SASP component IL-6, DNA damage marker γ-H2A.X, and the endothelial function marker phosphorylated eNOS S1177 in aortas from Ldlr −/− and WT mice fed a chow or Western diet for 12 weeks ( n = 5). i, Expression of CDKN1A , IL1B , and IL6 genes (upper) and co-expression of the senescence-associated genes in atherosclerotic aortic wall (AOR) of patients with CAD ( n □=□600) and healthy individuals ( n □=□250) in the STARNET database. j,k,l, Representative immunoblots and quantification of intensities for senescence hallmarks ( j ), insulin signaling pathway ( k ), and thermogenic markers ( l ) in tPVAT from Ldlr −/− and WT mice fed a chow or Western diet for 12 weeks ( n = 5). m, Plasma and aortic PVAT samples were collected from the validation study, including aged CAD patients undergoing CABG surgery ( n □=□5) and non-CAD controls ( n □=□5), for LC-MS/MS PAA quantification and senescence studies. n, Plasma PAA concentrations in aged CAD patients ( n □=□5) and non-CAD controls ( n □=□5). o,p,q, Representative immunoblots and quantification of intensities for senescence hallmarks ( o ), NOTCH1 and thermogenic markers ( p ), and insulin signaling pathway ( q ) in aortic PVAT from the individuals in the validation study ( n = 5). r, PAA was administered (PAA) or not (Ctrl) to chow-fed Ldlr −/− mice for 8 weeks. s, Quantification of H&E-stained aortic root lesion area (left) and aortic occlusion (right). Total cholesterol concentrations in plasma ( n = 5). t, Representative immunoblots and quantification of intensities for senescence hallmarks p16 INK4A , IL-6, and γ-H2A.X in aortas (left) and tPVAT (right). Data were determined in 8-10 micrographs and represent triplicated biologically independent experiments. Scale bar, 200 μm ( f ). Error bars represent SD ( h,j-l,o-t ). P values were calculated using two-tailed Mann–Whitney U -test ( b ), one-way ANOVA followed by Tukey’s post hoc test ( e,f,h,j-l ), Welch’s t-test ( i ), and a two-tailed unpaired Student’s t -test ( n-t ). Correlation coefficient and P values were calculated by Spearman’s rank-order correlation test ( g ). Data are shown as median with min–max; each violin represents interquartile range (IQR); center lines indicate the median; upper and lower lines are bounded by 25th and 75th percentiles ( b , n ). Images created with https://BioRender.com ( a,d,m,r ).

    Article Snippet: Cell culture supernatants were assessed for IL-6 using a QuantikineTM ELISA Human IL-6 Immunoassay kit (R&D Systems, D6050), according to the manufacturer’s instructions.

    Techniques: Clinical Proteomics, Western Blot, Liquid Chromatography with Mass Spectroscopy, Staining, Marker, Expressing, Biomarker Discovery, Two Tailed Test, MANN-WHITNEY