28 research outputs found
Localization of CD11c<sup>+</sup> cells in the aortic root.
<p>(A) Aortic root sections of healthy and atherosclerotic <i>apoE</i><sup>−/−</sup>CD11c-YFP mice (arrow heads indicate CD11c<sup>+</sup> cells, green). Nuclei are counterstained with DAPI (blue; scale bars, 50 µm).</p
SIRPα expression on aortic DC subsets and macrophages.
<p>Representative histograms of the expression of SIRPα on DC subsets and macrophages in the aorta of <i>Ldlr<sup>−/−</sup></i> mice fed a normal chow or after 12 weeks of high fat diet-feeding. Representative histograms from 6–9 mice per group are shown.</p
Identification of DC subsets in the aorta.
<p>Representative FACS plots for identification of DC subsets in healthy, chow-fed <i>Ldlr</i><sup>−/−</sup> mice. After exclusion of TCRβ<sup>+</sup>/CD19<sup>+</sup> T and B cells, CD11c<sup>+</sup> MHCII<sup>+</sup> DCs were further subdivided into CD103<sup>+</sup> and CD103<sup>−</sup> DCs. CD103<sup>+</sup> DCs do not express CD11b or F4/80 while CD103<sup>−</sup> DCs were further subdivided into CD11b<sup>+</sup> F4/80<sup>−</sup>, CD11b<sup>+</sup> F4/80<sup>+</sup> and CD11b<sup>−</sup>F4/80<sup>−</sup> DCs. Macrophages were defined as CD11c<sup>−</sup> MHCII<sup>+</sup> CD11b<sup>+</sup> F4/80<sup>+</sup>. Representative contour plots from 6–9 mice per group are shown.</p
Characterization of aortic DC subsets.
<p>Representative co-immunofluorescence staining of aortic root sections of <i>Ldlr</i><sup>−/−</sup> mice fed a high fat diet for 12 weeks, revealing cells showing staining for only CD11c (red, filled arrow heads) or F4/80<sup>+</sup> (green, narrow arrows) as well as both CD11c and F4/80 (yellow, bold arrows). Nuclei are counterstained with DAPI (blue). Oil-red-O staining (red) for lipids in adjacent sections. Scale bars, 50 µm.</p
CD64 expression on aortic DC subsets and macrophages.
<p>Representative histograms of CD64 expression on aortic DC subsets and macrophages. Representative histograms from 6–9 mice per group are shown.</p
Characteristics of 5015 GCKD study participants by eGFR categories.
<p>Data are mean (SD) for continuous variables and percentages (count) for categorical variables. Missing values in following variables (number of missings): BMI (57), atrial fibrillation (12), valvular heart disease (42), anemia & hemoglobin (145), serum albumin (1), heart rate (49), current smoker (12), alcohol intake (28), education (101).</p><p>Valvular heart disease: aortic stenosis (n = 73), aortic insufficiency (n = 142), mitral stenosis (n = 15), mitral insufficiency (n = 251), other (n = 169). Some individuals had more than one type of valvular heart disease.</p><p>Characteristics of 5015 GCKD study participants by eGFR categories.</p
Validation analyses within a subsample of the regional center Freiburg (n = 118).
<p>Data are percentages.</p><p>Reference is heart failure diagnosis based on abstraction of medical records of the treating nephrologists or former hospitalizations. Sensitivity is the proportion of patients with heart failure according to the respective evaluated definition out of the patients with heart failure according to the reference definition. Specificity is the proportion of patients without heart failure according to the respective definition out of the patients without heart failure according to the reference definition. Positive predictive value (PPV) is the proportion of patients with heart failure according to the reference definition out of the patients with heart failure according to the evaluated definition. Negative predictive value (NPV) is the proportion of patients without heart failure according to the reference definition out of the patients without heart failure according to the evaluated definition.</p><p>Validation analyses within a subsample of the regional center Freiburg (n = 118).</p
Composition of the Gothenburg score and proportions of GCKD participants within the cardiac score components.
<p>Composition of the Gothenburg score and proportions of GCKD participants within the cardiac score components.</p
Prevalence of heart failure across eGFR categories.
<p>The prevalence of both self-reported and Gothenburg score heart failure is higher with lower eGFR category, with Gothenburg heart failure observed at least twice as much in each category compared to self-report. P-trend was determined from logistic regressions of each heart failure definition on categorized eGFR.</p
Multivariable adjusted analyses of factors associated with Gothenburg HF and self-reported HF (n = 4,604).
<p>Of 5,015 observations, values were missing values in BMI (57), valvular heart disease (42), anemia (145), serum albumin (1), education (101), heart rate (49), current smoker (12), alcohol intake (28).</p><p>Multivariable adjusted analyses of factors associated with Gothenburg HF and self-reported HF (n = 4,604).</p