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Journal: Blood Purification
Article Title: CCL14 Predicts Oliguria and Dialysis Requirement in Patients with Moderate to Severe Acute Kidney Injury
doi: 10.1159/000538898
Figure Lengend Snippet: Clinical characteristics of all patients and grouped by CCL14 risk group at time of enrollment 1
Article Snippet: Technicians who were blinded to the clinical data measured CCL14 concentrations in the samples using the
Techniques:
Journal: Blood Purification
Article Title: CCL14 Predicts Oliguria and Dialysis Requirement in Patients with Moderate to Severe Acute Kidney Injury
doi: 10.1159/000538898
Figure Lengend Snippet: The effect of time and diuretic exposure within CCL14 risk categories per mixed linear regression analysis 1
Article Snippet: Technicians who were blinded to the clinical data measured CCL14 concentrations in the samples using the
Techniques:
Journal: Blood Purification
Article Title: CCL14 Predicts Oliguria and Dialysis Requirement in Patients with Moderate to Severe Acute Kidney Injury
doi: 10.1159/000538898
Figure Lengend Snippet: Average hourly urine output versus time with and without diuretics in patients with low ( a ), intermediate ( b ), and high ( c ) CCL14 risk categories. CCL14 ≤ 1.3, 1.3 < CCL14 ≤ 13, and CCL14 > 13 ng/mL were used to define low, intermediate, and high categories. Blue color denotes diuretics and orange color no diuretics.
Article Snippet: Technicians who were blinded to the clinical data measured CCL14 concentrations in the samples using the
Techniques:
Journal: Blood Purification
Article Title: CCL14 Predicts Oliguria and Dialysis Requirement in Patients with Moderate to Severe Acute Kidney Injury
doi: 10.1159/000538898
Figure Lengend Snippet: Cumulative urine output over 48 h stratified by diuretic use and CCL14 risk categories. Bottom and top whiskers represent the 10th and 90th percentiles of the CCL14 concentrations in that group, respectively. Bottom and top boxes represent the 1st and 3rd quartiles, respectively. The red bars and blue asterisks are the median and mean concentrations, respectively. p values for the difference in mean concentrations within each CCL14 risk category were computed by the Tukey’s multiple comparison test following a generalized linear model fit of CCL14 concentrations with diuretics exposure, CCL14 risk categories, and their interaction.
Article Snippet: Technicians who were blinded to the clinical data measured CCL14 concentrations in the samples using the
Techniques: Comparison
0.05). " width="100%" height="100%">
Journal: bioRxiv
Article Title: Regulation of Interstitial Lung Diseases by Pulmonary Endothelial Cells via PLVAP
doi: 10.1101/2024.03.12.584592
Figure Lengend Snippet: A. Dot plot showing ligand-receptor pairs between PLVAP-positive endothelial cells and various immune cell subsets in normal controls and patients with different types of ILD (IPF, cHP, NSIP, sarcoidosis, SSc, myositis). B-C. Validation of the SiO2 mouse model. H&E and Masson staining showed increased inflammation and fibrosis in the lung tissue of SiO2-treated mice. D. Human lung tissue CCL14 lung tissue Immunohistochemical staining. Significantly brown-stained CCL14-positive cells were observed in lung tissue of patients with pulmonary fibrosis and controls. (↑indicates immunohistochemically stained positive cells) E. Integration of single-cell sequencing data from GEO multicenter ILD patients and normal controls. Correlation analysis between the PLVAP + vein ECs ratio and IM/AM ratio showed that PLVAP + vein ECs ratio was positively correlated with IM ratio. F. Integration of single-cell sequencing data from GEO multicenter ILD patients and normal controls. Correlation analysis between the IM ratio and Myofibroblast ratio showed that IM ratio was positively correlated with Myofibroblast ratio. G. UMAP shows the distribution of AUCell scores for each cellular Myofibroblast marker gene set in fibroblasts of lung tissues in the sio2 mouse model. Statistical analysis revealed that the AUCell score was higher in the sio2 mouse model group compared with the control group, and the difference was statistically significant. H. UMAP shows the distribution of AUCell scores for each cellular IM marker gene set in lung tissue macrophages of the sio2 mouse model. Statistical analysis revealed that the AUCell score was higher in the sio2 mouse model group compared with the control group, and the difference was statistically significant. I. Correlation analysis between the AUCell scores of Plvap in ECs and AUCell scores of IM marker genes in Macrophage was positive in Sio2 mouse model lung tissue scRNA. J.Correlation analysis between the AUCell scores of Plvap in ECs and AUCell scores of Myofibroblast marker genes in Fibroblasts in scRNA from lung tissue of the Sio2 mouse model was positive. K. UMAP visualization of Macrophage cells, colored by celltype compartment.Macrophage cells subpopulations including Alveolar macrophages (AM), Interstitial macrophages (IM), mixed cells. L. Dot chart shows the marker of IM, mainly focusing on LGMN, MARCKS, AM (PPARG, SIGLECS, FABP4, GCHFR, FN1, INHBA). M. UMAP plot shows scissor-positive and scissor-negative cells, which are associated with low lung function (Low DLCO) and normal lung function (Normal DLCO), respectively. Red and blue dots correspond to low lung function phenotype and normal lung function phenotype, respectively. N. Bar graph showing the proportion of "DLCO-low phenotype" and "DLCO-normal phenotype" cells in AM and IM, respectively. O-Q. Flow analysis plot demonstrating the proportion of IM and AM macrophages in lung tissue of Plvap EC KO mice and control Plvap +/+ mice after 4 weeks of bleomycin modeling. F4/80 + CD11b + /SIGLECF + CD11c + cells were defined as IM/AM cells, respectively, n=5(** p<0.01, ns p>0.05).
Article Snippet:
Techniques: Staining, Immunohistochemical staining, Sequencing, Marker