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Elevated plasma cfDNA levels in septic patients and associated transcriptomic changes. (A) Comparison of plasma cfDNA levels between healthy controls ( n = 26) and patients with sepsis ( n = 78). (B) Quantification of plasma cfDNA in healthy individuals and septic patients. (C—I) Spearman correlation analysis between plasma cfDNA levels and (C) ALT, (D) AST, (E) LDH, (F) IL-8, (G) <t>IL-10,</t> (H) SOFA score, and (I) APACHE II score in septic patients. (J) ROC curve evaluating the diagnostic performance of plasma cfDNA in distinguishing sepsis patients from healthy controls. (K) Whole-blood transcriptome sequencing cohort, comprising healthy controls ( n = 10) and septic patients ( n = 31). (L, M) Volcano plots showing differential gene expression identified using DESeq2 and edgeR, respectively. (N) Hierarchical clustering heatmap of overlapping dDEGs distinguishing septic patients from healthy controls. (O) GO enrichment analysis of DEGs highlighting biological processes related to autophagy, innate immune activation, and NF-κB signaling. (P) KEGG pathway enrichment analysis demonstrating significant enrichment of immune- and inflammation-associated pathways. (Q) GSEA showing activation of Toll-like receptor and NF-κB signaling pathways in septic patients. ****P < 0.0001.
Il 10 Em0005 Enzyme Linked Immunosorbent Assay, supplied by Huabio Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Elevated plasma cfDNA levels in septic patients and associated transcriptomic changes. (A) Comparison of plasma cfDNA levels between healthy controls ( n = 26) and patients with sepsis ( n = 78). (B) Quantification of plasma cfDNA in healthy individuals and septic patients. (C—I) Spearman correlation analysis between plasma cfDNA levels and (C) ALT, (D) AST, (E) LDH, (F) IL-8, (G) <t>IL-10,</t> (H) SOFA score, and (I) APACHE II score in septic patients. (J) ROC curve evaluating the diagnostic performance of plasma cfDNA in distinguishing sepsis patients from healthy controls. (K) Whole-blood transcriptome sequencing cohort, comprising healthy controls ( n = 10) and septic patients ( n = 31). (L, M) Volcano plots showing differential gene expression identified using DESeq2 and edgeR, respectively. (N) Hierarchical clustering heatmap of overlapping dDEGs distinguishing septic patients from healthy controls. (O) GO enrichment analysis of DEGs highlighting biological processes related to autophagy, innate immune activation, and NF-κB signaling. (P) KEGG pathway enrichment analysis demonstrating significant enrichment of immune- and inflammation-associated pathways. (Q) GSEA showing activation of Toll-like receptor and NF-κB signaling pathways in septic patients. ****P < 0.0001.
Hev Enzyme Linked Immunosorbent Assay Elisa Kits, supplied by Beijing Wantai Biological, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Elevated plasma cfDNA levels in septic patients and associated transcriptomic changes. (A) Comparison of plasma cfDNA levels between healthy controls ( n = 26) and patients with sepsis ( n = 78). (B) Quantification of plasma cfDNA in healthy individuals and septic patients. (C—I) Spearman correlation analysis between plasma cfDNA levels and (C) ALT, (D) AST, (E) LDH, (F) IL-8, (G) <t>IL-10,</t> (H) SOFA score, and (I) APACHE II score in septic patients. (J) ROC curve evaluating the diagnostic performance of plasma cfDNA in distinguishing sepsis patients from healthy controls. (K) Whole-blood transcriptome sequencing cohort, comprising healthy controls ( n = 10) and septic patients ( n = 31). (L, M) Volcano plots showing differential gene expression identified using DESeq2 and edgeR, respectively. (N) Hierarchical clustering heatmap of overlapping dDEGs distinguishing septic patients from healthy controls. (O) GO enrichment analysis of DEGs highlighting biological processes related to autophagy, innate immune activation, and NF-κB signaling. (P) KEGG pathway enrichment analysis demonstrating significant enrichment of immune- and inflammation-associated pathways. (Q) GSEA showing activation of Toll-like receptor and NF-κB signaling pathways in septic patients. ****P < 0.0001.
Enzyme Linked Immunosorbent Assay Elisa Kits, supplied by Siemens Healthineers, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Eurofins sandwich enzyme linked immunosorbent assay elisa assay
Elevated plasma cfDNA levels in septic patients and associated transcriptomic changes. (A) Comparison of plasma cfDNA levels between healthy controls ( n = 26) and patients with sepsis ( n = 78). (B) Quantification of plasma cfDNA in healthy individuals and septic patients. (C—I) Spearman correlation analysis between plasma cfDNA levels and (C) ALT, (D) AST, (E) LDH, (F) IL-8, (G) <t>IL-10,</t> (H) SOFA score, and (I) APACHE II score in septic patients. (J) ROC curve evaluating the diagnostic performance of plasma cfDNA in distinguishing sepsis patients from healthy controls. (K) Whole-blood transcriptome sequencing cohort, comprising healthy controls ( n = 10) and septic patients ( n = 31). (L, M) Volcano plots showing differential gene expression identified using DESeq2 and edgeR, respectively. (N) Hierarchical clustering heatmap of overlapping dDEGs distinguishing septic patients from healthy controls. (O) GO enrichment analysis of DEGs highlighting biological processes related to autophagy, innate immune activation, and NF-κB signaling. (P) KEGG pathway enrichment analysis demonstrating significant enrichment of immune- and inflammation-associated pathways. (Q) GSEA showing activation of Toll-like receptor and NF-κB signaling pathways in septic patients. ****P < 0.0001.
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Elevated plasma cfDNA levels in septic patients and associated transcriptomic changes. (A) Comparison of plasma cfDNA levels between healthy controls ( n = 26) and patients with sepsis ( n = 78). (B) Quantification of plasma cfDNA in healthy individuals and septic patients. (C—I) Spearman correlation analysis between plasma cfDNA levels and (C) ALT, (D) AST, (E) LDH, (F) IL-8, (G) <t>IL-10,</t> (H) SOFA score, and (I) APACHE II score in septic patients. (J) ROC curve evaluating the diagnostic performance of plasma cfDNA in distinguishing sepsis patients from healthy controls. (K) Whole-blood transcriptome sequencing cohort, comprising healthy controls ( n = 10) and septic patients ( n = 31). (L, M) Volcano plots showing differential gene expression identified using DESeq2 and edgeR, respectively. (N) Hierarchical clustering heatmap of overlapping dDEGs distinguishing septic patients from healthy controls. (O) GO enrichment analysis of DEGs highlighting biological processes related to autophagy, innate immune activation, and NF-κB signaling. (P) KEGG pathway enrichment analysis demonstrating significant enrichment of immune- and inflammation-associated pathways. (Q) GSEA showing activation of Toll-like receptor and NF-κB signaling pathways in septic patients. ****P < 0.0001.
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Cell Biolabs Inc enzyme linked immunosorbent assay elisa kit
Elevated plasma cfDNA levels in septic patients and associated transcriptomic changes. (A) Comparison of plasma cfDNA levels between healthy controls ( n = 26) and patients with sepsis ( n = 78). (B) Quantification of plasma cfDNA in healthy individuals and septic patients. (C—I) Spearman correlation analysis between plasma cfDNA levels and (C) ALT, (D) AST, (E) LDH, (F) IL-8, (G) <t>IL-10,</t> (H) SOFA score, and (I) APACHE II score in septic patients. (J) ROC curve evaluating the diagnostic performance of plasma cfDNA in distinguishing sepsis patients from healthy controls. (K) Whole-blood transcriptome sequencing cohort, comprising healthy controls ( n = 10) and septic patients ( n = 31). (L, M) Volcano plots showing differential gene expression identified using DESeq2 and edgeR, respectively. (N) Hierarchical clustering heatmap of overlapping dDEGs distinguishing septic patients from healthy controls. (O) GO enrichment analysis of DEGs highlighting biological processes related to autophagy, innate immune activation, and NF-κB signaling. (P) KEGG pathway enrichment analysis demonstrating significant enrichment of immune- and inflammation-associated pathways. (Q) GSEA showing activation of Toll-like receptor and NF-κB signaling pathways in septic patients. ****P < 0.0001.
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Elevated plasma cfDNA levels in septic patients and associated transcriptomic changes. (A) Comparison of plasma cfDNA levels between healthy controls ( n = 26) and patients with sepsis ( n = 78). (B) Quantification of plasma cfDNA in healthy individuals and septic patients. (C—I) Spearman correlation analysis between plasma cfDNA levels and (C) ALT, (D) AST, (E) LDH, (F) IL-8, (G) IL-10, (H) SOFA score, and (I) APACHE II score in septic patients. (J) ROC curve evaluating the diagnostic performance of plasma cfDNA in distinguishing sepsis patients from healthy controls. (K) Whole-blood transcriptome sequencing cohort, comprising healthy controls ( n = 10) and septic patients ( n = 31). (L, M) Volcano plots showing differential gene expression identified using DESeq2 and edgeR, respectively. (N) Hierarchical clustering heatmap of overlapping dDEGs distinguishing septic patients from healthy controls. (O) GO enrichment analysis of DEGs highlighting biological processes related to autophagy, innate immune activation, and NF-κB signaling. (P) KEGG pathway enrichment analysis demonstrating significant enrichment of immune- and inflammation-associated pathways. (Q) GSEA showing activation of Toll-like receptor and NF-κB signaling pathways in septic patients. ****P < 0.0001.

Journal: International Journal of Pharmaceutics: X

Article Title: Engineered M2 macrophage-derived vesicles deliver DNase I for cfDNA clearance and multi-organ protection in sepsis

doi: 10.1016/j.ijpx.2026.100528

Figure Lengend Snippet: Elevated plasma cfDNA levels in septic patients and associated transcriptomic changes. (A) Comparison of plasma cfDNA levels between healthy controls ( n = 26) and patients with sepsis ( n = 78). (B) Quantification of plasma cfDNA in healthy individuals and septic patients. (C—I) Spearman correlation analysis between plasma cfDNA levels and (C) ALT, (D) AST, (E) LDH, (F) IL-8, (G) IL-10, (H) SOFA score, and (I) APACHE II score in septic patients. (J) ROC curve evaluating the diagnostic performance of plasma cfDNA in distinguishing sepsis patients from healthy controls. (K) Whole-blood transcriptome sequencing cohort, comprising healthy controls ( n = 10) and septic patients ( n = 31). (L, M) Volcano plots showing differential gene expression identified using DESeq2 and edgeR, respectively. (N) Hierarchical clustering heatmap of overlapping dDEGs distinguishing septic patients from healthy controls. (O) GO enrichment analysis of DEGs highlighting biological processes related to autophagy, innate immune activation, and NF-κB signaling. (P) KEGG pathway enrichment analysis demonstrating significant enrichment of immune- and inflammation-associated pathways. (Q) GSEA showing activation of Toll-like receptor and NF-κB signaling pathways in septic patients. ****P < 0.0001.

Article Snippet: Mouse tumor necrosis factor (TNF)-α (EM0010), interleukin (IL)-6 (EM0004), IL-1β (EM0029), and IL-10 (EM0005) enzyme-linked immunosorbent assay (ELISA) kits were obtained from HUABIO (Hangzhou, China).

Techniques: Clinical Proteomics, Comparison, Diagnostic Assay, Sequencing, Gene Expression, Activation Assay, Protein-Protein interactions

Therapeutic efficacy of M2-EVs@DNase I in septic mice. (A) Flow cytometry analysis of M1-phenotype macrophages (CD11b + F4/80 + CD86 + ) and M2-phenotype macrophages (CD11b + F4/80 + CD206 + ) in the peritoneal cavity. (B) Ratios of M2/M1 macrophages. (C, D) Flow cytometry and quantitative analysis of TLR9 + macrophages (CD11b + F4/80 + TLR9 + ). (E) The levels of cfDNA in the peritoneal fluid. (F—I) The concentrations of TNF-α, IL-1β, IL-6, and IL-10 in the peritoneal fluid. (J) Plasma cfDNA levels. (K-Q) Serum levels of PCT, CRP, SAA, TNF-α, IL-1β, IL-6, and IL-10 in each group. n = 3. Data are mean ± SD. * P < 0.05, ** P < 0.01, *** P < 0.001, **** P < 0.0001.

Journal: International Journal of Pharmaceutics: X

Article Title: Engineered M2 macrophage-derived vesicles deliver DNase I for cfDNA clearance and multi-organ protection in sepsis

doi: 10.1016/j.ijpx.2026.100528

Figure Lengend Snippet: Therapeutic efficacy of M2-EVs@DNase I in septic mice. (A) Flow cytometry analysis of M1-phenotype macrophages (CD11b + F4/80 + CD86 + ) and M2-phenotype macrophages (CD11b + F4/80 + CD206 + ) in the peritoneal cavity. (B) Ratios of M2/M1 macrophages. (C, D) Flow cytometry and quantitative analysis of TLR9 + macrophages (CD11b + F4/80 + TLR9 + ). (E) The levels of cfDNA in the peritoneal fluid. (F—I) The concentrations of TNF-α, IL-1β, IL-6, and IL-10 in the peritoneal fluid. (J) Plasma cfDNA levels. (K-Q) Serum levels of PCT, CRP, SAA, TNF-α, IL-1β, IL-6, and IL-10 in each group. n = 3. Data are mean ± SD. * P < 0.05, ** P < 0.01, *** P < 0.001, **** P < 0.0001.

Article Snippet: Mouse tumor necrosis factor (TNF)-α (EM0010), interleukin (IL)-6 (EM0004), IL-1β (EM0029), and IL-10 (EM0005) enzyme-linked immunosorbent assay (ELISA) kits were obtained from HUABIO (Hangzhou, China).

Techniques: Drug discovery, Flow Cytometry, Clinical Proteomics