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Concentration-dependent change in the humoral inflammatory response following incubation with Escherichia coli ( E. coli ) in the ex vivo whole blood model. a Absolute plasma concentrations of IL-6, <t>IL-8,</t> and MMP9 determined by enzyme-linked immunosorbent assay. b Normalized values and EC 50 curve fit by BuC=0% and 50 000 CFU/ml E. coli= 100%, respectively, for IL-6, IL-8, and MMP9 as indicated by EC 50 (%) on the respective Y-axis. BuC indicates buffer control after 60 min incubation; numbers on the X-axis indicate E. coli bacteria in concentrations of 2000 to 50 000 CFU/ml after 60 min incubation; LPS indicates lipopolysaccharide (LPS) 100 ng/ml after 60 min incubation. Values are shown as median and interquartile range. n =8. Statistical analysis was performed using the Kruskal-Wallis test with Dunn’s post-hoc test, comparing all shown concentrations of E. coli bacteria and 100 ng/ml LPS with BuC. P -values are indicated above the respective data points. ⁎ P <0.05, ⁎⁎ P <0.01, ⁎⁎⁎ P <0.001. CFU. Colony-forming units; IL. Interleukin; MMP9. Matrix metallopeptidase 9.
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BacGuard promotes colon tissue repairment. a) Scheme of microbiota-dependent epithelial repair mechanism orchestrated by BacGuard. b) Short-chain fatty acid (SCFA) profile alterations. n = 6. c) BacGuard-induced probiotic proliferation and d) quantitative results. n = 3. e) Immunofluorescence analysis of ILC3 (ROR γt + CD3 − cells) in colon tissue. f) Flow cytometric analysis of lamina propria lymphocytes (ROR γt + ). n = 3. g) Concentration <t>of</t> <t>IL-22</t> in MNK-3 cells. n = 3. h) Representative PAS-staining (upper panel) and MUC-2 immunohistochemistry (lower panel) images of colon tissues. n = 5. ns, not significant; ∗p < 0.05, ∗∗p < 0.01 and ∗∗∗p < 0.001.
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Immunostaining and quantification of TNF‐α <t>and</t> <t>IL‐10</t> cytokines in the renal cortex of the experimental groups. (A) Representative photomicrographs of TNF‐α immunostaining. (B) Representative photomicrographs of IL‐10 immunostaining. Arrows indicate positive immunostaining. (C) Represents quantification of TNF‐α‐positive immunostaining and (D) Represents quantification of IL‐10‐positive immunostaining, expressed as pixels/µm 2 . Scale bars: 50 µm (A) and 200 µm (B). Data are expressed as mean ± SEM ( n = 6 per group). (a) p < 0.05 versus CD; (b) p < 0.05 versus CD + NE‐CO; (c) p < 0.05 versus CD + CO; (d) p < 0.05 versus CD + NE‐W; (e) p < 0.05 versus HFD; and (f) p < 0.05 versus HFD + CO.
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Immunostaining and quantification of TNF‐α <t>and</t> <t>IL‐10</t> cytokines in the renal cortex of the experimental groups. (A) Representative photomicrographs of TNF‐α immunostaining. (B) Representative photomicrographs of IL‐10 immunostaining. Arrows indicate positive immunostaining. (C) Represents quantification of TNF‐α‐positive immunostaining and (D) Represents quantification of IL‐10‐positive immunostaining, expressed as pixels/µm 2 . Scale bars: 50 µm (A) and 200 µm (B). Data are expressed as mean ± SEM ( n = 6 per group). (a) p < 0.05 versus CD; (b) p < 0.05 versus CD + NE‐CO; (c) p < 0.05 versus CD + CO; (d) p < 0.05 versus CD + NE‐W; (e) p < 0.05 versus HFD; and (f) p < 0.05 versus HFD + CO.
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Immunostaining and quantification of TNF‐α <t>and</t> <t>IL‐10</t> cytokines in the renal cortex of the experimental groups. (A) Representative photomicrographs of TNF‐α immunostaining. (B) Representative photomicrographs of IL‐10 immunostaining. Arrows indicate positive immunostaining. (C) Represents quantification of TNF‐α‐positive immunostaining and (D) Represents quantification of IL‐10‐positive immunostaining, expressed as pixels/µm 2 . Scale bars: 50 µm (A) and 200 µm (B). Data are expressed as mean ± SEM ( n = 6 per group). (a) p < 0.05 versus CD; (b) p < 0.05 versus CD + NE‐CO; (c) p < 0.05 versus CD + CO; (d) p < 0.05 versus CD + NE‐W; (e) p < 0.05 versus HFD; and (f) p < 0.05 versus HFD + CO.
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cfDNA promotes the polarization of macrophages towards the M1 phenotype by activating the TLR9-MyD88 and cGAS-STING pathways (A- D) CpG DNA treatment increased the protein levels of IL-1α, TNF-α, and <t>IL-6.</t> RAW264.7 cells were treated with 1 μg mL -1 CpG DNA for 24 h and then subjected to western blotting (A). IL-1α (B), TNF-α (C), and IL-6 (D) levels were normalized to the β-actin level in each sample, and the normalized values were used for statistical analysis, n = 4. (E-F) CpG DNA treatment significantly enhanced CD86 expression in macrophages. RAW264.7 cells were treated with 1 μg mL -1 CpG DNA for 24 h, then immunostained with an anti-CD86 antibody (green) and DAPI (blue, nuclei), and imaged by fluorescence microscopy. Representative images (E) and quantitative fluorescence graph (F) are shown, n = 6. Scale bar: 50 μm. (G-J) CpG DNA treatment significantly upregulated the expression of key proteins associated with the TLR9-MyD88 and cGAS-STING pathways. RAW264.7 cells were treated with 1 μg mL -1 CpG DNA for 24 h and then subjected to western blotting, n = 8/4(G, I). STING, cGAS, TLR9, and MyD88 levels were normalized to the β-actin level in each sample. p-NF-κB, p-IκB, p-TBK1, and p-IRF3 levels were normalized to their respective total protein levels (NF-κB, IκB, TBK1, and IRF3) in each sample. These normalized values were then used for statistical analysis, n = 8/4(H, J). For (B-D, F, H, J), error bars represent mean ± standard deviation. P values were calculated using one-way analysis of variance (ANOVA) (B-D, F, H, J). *, P < 0.05; **, P < 0.01; ***, P < 0.001; ****, P < 0.0001; ns, not significant.(For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
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Concentration-dependent change in the humoral inflammatory response following incubation with Escherichia coli ( E. coli ) in the ex vivo whole blood model. a Absolute plasma concentrations of IL-6, IL-8, and MMP9 determined by enzyme-linked immunosorbent assay. b Normalized values and EC 50 curve fit by BuC=0% and 50 000 CFU/ml E. coli= 100%, respectively, for IL-6, IL-8, and MMP9 as indicated by EC 50 (%) on the respective Y-axis. BuC indicates buffer control after 60 min incubation; numbers on the X-axis indicate E. coli bacteria in concentrations of 2000 to 50 000 CFU/ml after 60 min incubation; LPS indicates lipopolysaccharide (LPS) 100 ng/ml after 60 min incubation. Values are shown as median and interquartile range. n =8. Statistical analysis was performed using the Kruskal-Wallis test with Dunn’s post-hoc test, comparing all shown concentrations of E. coli bacteria and 100 ng/ml LPS with BuC. P -values are indicated above the respective data points. ⁎ P <0.05, ⁎⁎ P <0.01, ⁎⁎⁎ P <0.001. CFU. Colony-forming units; IL. Interleukin; MMP9. Matrix metallopeptidase 9.

Journal: Military Medical Research

Article Title: The cellular response capacity (CRC) as a novel immunomonitoring approach in sepsis

doi: 10.1016/j.mmr.2026.100010

Figure Lengend Snippet: Concentration-dependent change in the humoral inflammatory response following incubation with Escherichia coli ( E. coli ) in the ex vivo whole blood model. a Absolute plasma concentrations of IL-6, IL-8, and MMP9 determined by enzyme-linked immunosorbent assay. b Normalized values and EC 50 curve fit by BuC=0% and 50 000 CFU/ml E. coli= 100%, respectively, for IL-6, IL-8, and MMP9 as indicated by EC 50 (%) on the respective Y-axis. BuC indicates buffer control after 60 min incubation; numbers on the X-axis indicate E. coli bacteria in concentrations of 2000 to 50 000 CFU/ml after 60 min incubation; LPS indicates lipopolysaccharide (LPS) 100 ng/ml after 60 min incubation. Values are shown as median and interquartile range. n =8. Statistical analysis was performed using the Kruskal-Wallis test with Dunn’s post-hoc test, comparing all shown concentrations of E. coli bacteria and 100 ng/ml LPS with BuC. P -values are indicated above the respective data points. ⁎ P <0.05, ⁎⁎ P <0.01, ⁎⁎⁎ P <0.001. CFU. Colony-forming units; IL. Interleukin; MMP9. Matrix metallopeptidase 9.

Article Snippet: For the samples of the ex vivo whole blood model, the plasma concentrations of matrix metallopeptidase 9 (MMP9, #DY911, R&D Systems, Minneapolis, USA), IL-6 (#555220, BD Biosciences, San Jose, USA), and IL-8 (#DY208, R&D Systems) were measured in citrate-anticoagulated plasma using enzyme-linked immunosorbent assay according to the respective manufacturer’s instructions.

Techniques: Concentration Assay, Incubation, Ex Vivo, Clinical Proteomics, Enzyme-linked Immunosorbent Assay, Control, Bacteria

Diagnostic performance for the detection of bacteremia, analyzing the neutrophil phenotype by determining the median fluorescence intensity (MFI) and the cellular response capacity (CRC) in comparison with traditional markers of humoral inflammation (IL-6, IL-8, MMP9). a Comparison of receiver operating characteristic (ROC) at 10,000 CFU/ml Escherichia coli ( E. coli ) with the respective 95% confidence interval (CI) and P -value, and half-maximal effective concentration (EC 50 ) as a function of the E. coli concentration. b Detailed comparison of the EC 50 as a function of the E. coli concentration. c Exemplary comparison of EC 50 curve fit after normalization as indicated by EC 50 (%) on the respective Y-axis to BuC=100% and 50 000 CFU/ml E. coli =0% for the humoral marker IL-6 (the IL-6 values were multiplied by −1 before EC 50 calculation to facilitate comparability with the CRC) and the change in neutrophil phenotype represented by CD11b CRC. BuC indicates buffer control after 60 min incubation; numbers on the X-axis of c indicate E. coli bacteria in concentrations of 2000 to 50 000 CFU/ml after 60 min incubation. Values are shown as median and interquartile range. n =8. Statistical analysis was performed using the Kruskal-Wallis test with Dunn’s post-hoc test, evaluating the EC 50 of IL-8, MMP9, the MFI, and CRC of CD10, CD11b, and CD62L in comparison to the EC 50 of IL-6. P -values are indicated above the respective data points. ⁎ P <0.05. CFU. Colony-forming units; IL. Interleukin; MMP9. Matrix metallopeptidase 9.

Journal: Military Medical Research

Article Title: The cellular response capacity (CRC) as a novel immunomonitoring approach in sepsis

doi: 10.1016/j.mmr.2026.100010

Figure Lengend Snippet: Diagnostic performance for the detection of bacteremia, analyzing the neutrophil phenotype by determining the median fluorescence intensity (MFI) and the cellular response capacity (CRC) in comparison with traditional markers of humoral inflammation (IL-6, IL-8, MMP9). a Comparison of receiver operating characteristic (ROC) at 10,000 CFU/ml Escherichia coli ( E. coli ) with the respective 95% confidence interval (CI) and P -value, and half-maximal effective concentration (EC 50 ) as a function of the E. coli concentration. b Detailed comparison of the EC 50 as a function of the E. coli concentration. c Exemplary comparison of EC 50 curve fit after normalization as indicated by EC 50 (%) on the respective Y-axis to BuC=100% and 50 000 CFU/ml E. coli =0% for the humoral marker IL-6 (the IL-6 values were multiplied by −1 before EC 50 calculation to facilitate comparability with the CRC) and the change in neutrophil phenotype represented by CD11b CRC. BuC indicates buffer control after 60 min incubation; numbers on the X-axis of c indicate E. coli bacteria in concentrations of 2000 to 50 000 CFU/ml after 60 min incubation. Values are shown as median and interquartile range. n =8. Statistical analysis was performed using the Kruskal-Wallis test with Dunn’s post-hoc test, evaluating the EC 50 of IL-8, MMP9, the MFI, and CRC of CD10, CD11b, and CD62L in comparison to the EC 50 of IL-6. P -values are indicated above the respective data points. ⁎ P <0.05. CFU. Colony-forming units; IL. Interleukin; MMP9. Matrix metallopeptidase 9.

Article Snippet: For the samples of the ex vivo whole blood model, the plasma concentrations of matrix metallopeptidase 9 (MMP9, #DY911, R&D Systems, Minneapolis, USA), IL-6 (#555220, BD Biosciences, San Jose, USA), and IL-8 (#DY208, R&D Systems) were measured in citrate-anticoagulated plasma using enzyme-linked immunosorbent assay according to the respective manufacturer’s instructions.

Techniques: Diagnostic Assay, Fluorescence, Comparison, Concentration Assay, Marker, Control, Incubation, Bacteria

Clinical specifications and parameters over all time points of the sepsis cohort. a Suspected infection cause of sepsis. b Distribution of the individual score points of the Sequential Organ Failure Assessment (SOFA) score. c Total SOFA score. d-h Traditional and humoral markers of inflammation: leukocytes and neutrophil-lymphocyte ratio ( d ), C-reactive protein (CRP) and procalcitonin (PCT) ( e ), interleukin-6 (IL-6) and interleukin-8 (IL-8) ( f ), serum amyloid A (SAA) and calprotectin ( g ), matrix metallopeptidase 9 (MMP9) and myeloperoxidase (MPO) ( h ). Values are shown as median and interquartile range. n =14. CNS. Central nervous system; HV. Healthy volunteers.

Journal: Military Medical Research

Article Title: The cellular response capacity (CRC) as a novel immunomonitoring approach in sepsis

doi: 10.1016/j.mmr.2026.100010

Figure Lengend Snippet: Clinical specifications and parameters over all time points of the sepsis cohort. a Suspected infection cause of sepsis. b Distribution of the individual score points of the Sequential Organ Failure Assessment (SOFA) score. c Total SOFA score. d-h Traditional and humoral markers of inflammation: leukocytes and neutrophil-lymphocyte ratio ( d ), C-reactive protein (CRP) and procalcitonin (PCT) ( e ), interleukin-6 (IL-6) and interleukin-8 (IL-8) ( f ), serum amyloid A (SAA) and calprotectin ( g ), matrix metallopeptidase 9 (MMP9) and myeloperoxidase (MPO) ( h ). Values are shown as median and interquartile range. n =14. CNS. Central nervous system; HV. Healthy volunteers.

Article Snippet: For the samples of the ex vivo whole blood model, the plasma concentrations of matrix metallopeptidase 9 (MMP9, #DY911, R&D Systems, Minneapolis, USA), IL-6 (#555220, BD Biosciences, San Jose, USA), and IL-8 (#DY208, R&D Systems) were measured in citrate-anticoagulated plasma using enzyme-linked immunosorbent assay according to the respective manufacturer’s instructions.

Techniques: Infection

BacGuard promotes colon tissue repairment. a) Scheme of microbiota-dependent epithelial repair mechanism orchestrated by BacGuard. b) Short-chain fatty acid (SCFA) profile alterations. n = 6. c) BacGuard-induced probiotic proliferation and d) quantitative results. n = 3. e) Immunofluorescence analysis of ILC3 (ROR γt + CD3 − cells) in colon tissue. f) Flow cytometric analysis of lamina propria lymphocytes (ROR γt + ). n = 3. g) Concentration of IL-22 in MNK-3 cells. n = 3. h) Representative PAS-staining (upper panel) and MUC-2 immunohistochemistry (lower panel) images of colon tissues. n = 5. ns, not significant; ∗p < 0.05, ∗∗p < 0.01 and ∗∗∗p < 0.001.

Journal: Bioactive Materials

Article Title: Dynamic feedback BacGuard anchors microbial metabolism to host symbiosis in real-time ulcerative colitis therapy

doi: 10.1016/j.bioactmat.2026.05.060

Figure Lengend Snippet: BacGuard promotes colon tissue repairment. a) Scheme of microbiota-dependent epithelial repair mechanism orchestrated by BacGuard. b) Short-chain fatty acid (SCFA) profile alterations. n = 6. c) BacGuard-induced probiotic proliferation and d) quantitative results. n = 3. e) Immunofluorescence analysis of ILC3 (ROR γt + CD3 − cells) in colon tissue. f) Flow cytometric analysis of lamina propria lymphocytes (ROR γt + ). n = 3. g) Concentration of IL-22 in MNK-3 cells. n = 3. h) Representative PAS-staining (upper panel) and MUC-2 immunohistochemistry (lower panel) images of colon tissues. n = 5. ns, not significant; ∗p < 0.05, ∗∗p < 0.01 and ∗∗∗p < 0.001.

Article Snippet: For the detection of IL-22 and LPS concentrations, the Mouse IL-22 Precoated ELISA Kit (DAKEWE, China) and Mouse LPS ELISA Kit (JONLNBIO, China) were employed correspondingly.

Techniques: Immunofluorescence, Concentration Assay, Staining, Immunohistochemistry

Immunostaining and quantification of TNF‐α and IL‐10 cytokines in the renal cortex of the experimental groups. (A) Representative photomicrographs of TNF‐α immunostaining. (B) Representative photomicrographs of IL‐10 immunostaining. Arrows indicate positive immunostaining. (C) Represents quantification of TNF‐α‐positive immunostaining and (D) Represents quantification of IL‐10‐positive immunostaining, expressed as pixels/µm 2 . Scale bars: 50 µm (A) and 200 µm (B). Data are expressed as mean ± SEM ( n = 6 per group). (a) p < 0.05 versus CD; (b) p < 0.05 versus CD + NE‐CO; (c) p < 0.05 versus CD + CO; (d) p < 0.05 versus CD + NE‐W; (e) p < 0.05 versus HFD; and (f) p < 0.05 versus HFD + CO.

Journal: Cell Biochemistry and Function

Article Title: Capybara Oil‐Based Nanoemulsion Attenuates Obesity‐Induced Renal Injury Through Modulation of Inflammation, Oxidative Stress, and Fibrosis in Mice

doi: 10.1002/cbf.70316

Figure Lengend Snippet: Immunostaining and quantification of TNF‐α and IL‐10 cytokines in the renal cortex of the experimental groups. (A) Representative photomicrographs of TNF‐α immunostaining. (B) Representative photomicrographs of IL‐10 immunostaining. Arrows indicate positive immunostaining. (C) Represents quantification of TNF‐α‐positive immunostaining and (D) Represents quantification of IL‐10‐positive immunostaining, expressed as pixels/µm 2 . Scale bars: 50 µm (A) and 200 µm (B). Data are expressed as mean ± SEM ( n = 6 per group). (a) p < 0.05 versus CD; (b) p < 0.05 versus CD + NE‐CO; (c) p < 0.05 versus CD + CO; (d) p < 0.05 versus CD + NE‐W; (e) p < 0.05 versus HFD; and (f) p < 0.05 versus HFD + CO.

Article Snippet: We used anti‐TNF‐α (sc‐52746), anti‐TGF‐β (sc‐130348), IL‐10 (sc‐8438), and anti‐α‐SMA (sc‐53142) (dilution 1:200, Santa Cruz Biotechnology, Dallas, Texas, USA) antibodies.

Techniques: Immunostaining

cfDNA promotes the polarization of macrophages towards the M1 phenotype by activating the TLR9-MyD88 and cGAS-STING pathways (A- D) CpG DNA treatment increased the protein levels of IL-1α, TNF-α, and IL-6. RAW264.7 cells were treated with 1 μg mL -1 CpG DNA for 24 h and then subjected to western blotting (A). IL-1α (B), TNF-α (C), and IL-6 (D) levels were normalized to the β-actin level in each sample, and the normalized values were used for statistical analysis, n = 4. (E-F) CpG DNA treatment significantly enhanced CD86 expression in macrophages. RAW264.7 cells were treated with 1 μg mL -1 CpG DNA for 24 h, then immunostained with an anti-CD86 antibody (green) and DAPI (blue, nuclei), and imaged by fluorescence microscopy. Representative images (E) and quantitative fluorescence graph (F) are shown, n = 6. Scale bar: 50 μm. (G-J) CpG DNA treatment significantly upregulated the expression of key proteins associated with the TLR9-MyD88 and cGAS-STING pathways. RAW264.7 cells were treated with 1 μg mL -1 CpG DNA for 24 h and then subjected to western blotting, n = 8/4(G, I). STING, cGAS, TLR9, and MyD88 levels were normalized to the β-actin level in each sample. p-NF-κB, p-IκB, p-TBK1, and p-IRF3 levels were normalized to their respective total protein levels (NF-κB, IκB, TBK1, and IRF3) in each sample. These normalized values were then used for statistical analysis, n = 8/4(H, J). For (B-D, F, H, J), error bars represent mean ± standard deviation. P values were calculated using one-way analysis of variance (ANOVA) (B-D, F, H, J). *, P < 0.05; **, P < 0.01; ***, P < 0.001; ****, P < 0.0001; ns, not significant.(For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)

Journal: Materials Today Bio

Article Title: Toll-like receptor 9-overexpressing red blood cell biomimetic microbubbles adsorb cell-free DNA to relieve steatotic liver ischemia-reperfusion injury

doi: 10.1016/j.mtbio.2026.103558

Figure Lengend Snippet: cfDNA promotes the polarization of macrophages towards the M1 phenotype by activating the TLR9-MyD88 and cGAS-STING pathways (A- D) CpG DNA treatment increased the protein levels of IL-1α, TNF-α, and IL-6. RAW264.7 cells were treated with 1 μg mL -1 CpG DNA for 24 h and then subjected to western blotting (A). IL-1α (B), TNF-α (C), and IL-6 (D) levels were normalized to the β-actin level in each sample, and the normalized values were used for statistical analysis, n = 4. (E-F) CpG DNA treatment significantly enhanced CD86 expression in macrophages. RAW264.7 cells were treated with 1 μg mL -1 CpG DNA for 24 h, then immunostained with an anti-CD86 antibody (green) and DAPI (blue, nuclei), and imaged by fluorescence microscopy. Representative images (E) and quantitative fluorescence graph (F) are shown, n = 6. Scale bar: 50 μm. (G-J) CpG DNA treatment significantly upregulated the expression of key proteins associated with the TLR9-MyD88 and cGAS-STING pathways. RAW264.7 cells were treated with 1 μg mL -1 CpG DNA for 24 h and then subjected to western blotting, n = 8/4(G, I). STING, cGAS, TLR9, and MyD88 levels were normalized to the β-actin level in each sample. p-NF-κB, p-IκB, p-TBK1, and p-IRF3 levels were normalized to their respective total protein levels (NF-κB, IκB, TBK1, and IRF3) in each sample. These normalized values were then used for statistical analysis, n = 8/4(H, J). For (B-D, F, H, J), error bars represent mean ± standard deviation. P values were calculated using one-way analysis of variance (ANOVA) (B-D, F, H, J). *, P < 0.05; **, P < 0.01; ***, P < 0.001; ****, P < 0.0001; ns, not significant.(For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)

Article Snippet: Primary antibodies used included: rabbit polyclonal antibodies against TLR9 (A14642, Abclonal), NF-κB (A2547, Abclonal), MyD88 (A0980, Abclonal), cGAS (A8335, Abclonal), IL-1α (A2170, Abclonal), TNF-α (A0277, Abclonal), IL-6 (A0286, Abclonal), CD206 (A8301, Abclonal), CD86 (A16805, Abclonal), CD47 (A1838, Abclonal), and ATP1A (A0643, Abclonal); rabbit monoclonal antibodies against STING (13647, CST, Beverly, MA, USA), p-NF-κB (3033, CST), p-TBK1 (5483, CST), TBK1 (ab40676, Abcam), p-IκB (2859, CST), IκB (4812, CST), p-IRF3 (4947, CST), and β-actin (AC026, Abclonal).

Techniques: Western Blot, Expressing, Fluorescence, Microscopy, Standard Deviation

RBC-MBs promotes the polarization of macrophages towards the M2 phenotype by inhibiting the TLR9-MyD88 and cGAS-STING pathways (A-F) RBC-MB treatment significantly attenuated CpG DNA-induced upregulation of pro-inflammatory cytokines (A-B), key proteins in the TLR9-MyD88 (C-D) and cGAS-STING (E-F) pathways. RAW264.7 cells were treated with 1 μg mL -1 CpG DNA for 24 h, followed by incubation with 0.5 mL RBC-MBs (concentration: 1 × 10 8 particles mL -1 ) for 24 h, and then subjected to western blot analysis (A, C, E). IL-1α, TNF-α, IL-6, TLR9, MyD88, STING, and cGAS levels were normalized to the β-actin level in each sample. p-NF-κB, p-TBK1, and p-IRF3 levels were normalized to their respective total protein levels (NF-κB, TBK1, and IRF3) in each sample. These normalized values were then used for statistical analysis (B, D, F), n = 6. (G) RBC-MB treatment significantly attenuated CpG DNA-induced upregulation of CD86 in macrophages. RAW264.7 cells were treated with 1 μg mL -1 CpG DNA for 24 h, followed by incubation with 0.5 mL RBC-MBs (concentration: 1 × 10 8 particles mL -1 ) for 24 h, then immunostained with an anti-CD86 antibody (green) and DAPI (blue, nuclei), and imaged by fluorescence microscopy. Representative images (left panel) and quantitative fluorescence graph (right panel) are shown. Scale bar: 50 μm, n = 6. (H-J) RBC-MB treatment significantly inhibited hepatic IRI-induced polarization of macrophages toward the M1 phenotype (H) and activation of the TLR9-MyD88 and cGAS-STING pathways (I-J). MASLD rats underwent 45 min of hepatic ischemia followed by reperfusion. At 0, 6, 12, 18, and 24 h post-reperfusion, the rats were treated with either Con-MBs or RBC-MBs. Primary macrophages were isolated from rat livers, then co-stained with CD68 and CD163 followed by flow cytometric analysis (H), n = 3/4, or subjected to western blotting (I-J). CD206, iNOS, TLR9, MyD88, STING, and cGAS levels were normalized to the β-actin level in each sample, and these normalized values were used for statistical analysis (J), n = 3. For (B, D, F, G right panel , H right panel , J), error bars represent mean ± standard deviation. P values were calculated using the unpaired Student's t-test (B, D, F, G right panel ) or one-way analysis of variance (ANOVA) (H right panel , J). *, P < 0.05; **, P < 0.01; ***, P < 0.001; ****, P < 0.0001; ns, not significant.(For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)

Journal: Materials Today Bio

Article Title: Toll-like receptor 9-overexpressing red blood cell biomimetic microbubbles adsorb cell-free DNA to relieve steatotic liver ischemia-reperfusion injury

doi: 10.1016/j.mtbio.2026.103558

Figure Lengend Snippet: RBC-MBs promotes the polarization of macrophages towards the M2 phenotype by inhibiting the TLR9-MyD88 and cGAS-STING pathways (A-F) RBC-MB treatment significantly attenuated CpG DNA-induced upregulation of pro-inflammatory cytokines (A-B), key proteins in the TLR9-MyD88 (C-D) and cGAS-STING (E-F) pathways. RAW264.7 cells were treated with 1 μg mL -1 CpG DNA for 24 h, followed by incubation with 0.5 mL RBC-MBs (concentration: 1 × 10 8 particles mL -1 ) for 24 h, and then subjected to western blot analysis (A, C, E). IL-1α, TNF-α, IL-6, TLR9, MyD88, STING, and cGAS levels were normalized to the β-actin level in each sample. p-NF-κB, p-TBK1, and p-IRF3 levels were normalized to their respective total protein levels (NF-κB, TBK1, and IRF3) in each sample. These normalized values were then used for statistical analysis (B, D, F), n = 6. (G) RBC-MB treatment significantly attenuated CpG DNA-induced upregulation of CD86 in macrophages. RAW264.7 cells were treated with 1 μg mL -1 CpG DNA for 24 h, followed by incubation with 0.5 mL RBC-MBs (concentration: 1 × 10 8 particles mL -1 ) for 24 h, then immunostained with an anti-CD86 antibody (green) and DAPI (blue, nuclei), and imaged by fluorescence microscopy. Representative images (left panel) and quantitative fluorescence graph (right panel) are shown. Scale bar: 50 μm, n = 6. (H-J) RBC-MB treatment significantly inhibited hepatic IRI-induced polarization of macrophages toward the M1 phenotype (H) and activation of the TLR9-MyD88 and cGAS-STING pathways (I-J). MASLD rats underwent 45 min of hepatic ischemia followed by reperfusion. At 0, 6, 12, 18, and 24 h post-reperfusion, the rats were treated with either Con-MBs or RBC-MBs. Primary macrophages were isolated from rat livers, then co-stained with CD68 and CD163 followed by flow cytometric analysis (H), n = 3/4, or subjected to western blotting (I-J). CD206, iNOS, TLR9, MyD88, STING, and cGAS levels were normalized to the β-actin level in each sample, and these normalized values were used for statistical analysis (J), n = 3. For (B, D, F, G right panel , H right panel , J), error bars represent mean ± standard deviation. P values were calculated using the unpaired Student's t-test (B, D, F, G right panel ) or one-way analysis of variance (ANOVA) (H right panel , J). *, P < 0.05; **, P < 0.01; ***, P < 0.001; ****, P < 0.0001; ns, not significant.(For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)

Article Snippet: Primary antibodies used included: rabbit polyclonal antibodies against TLR9 (A14642, Abclonal), NF-κB (A2547, Abclonal), MyD88 (A0980, Abclonal), cGAS (A8335, Abclonal), IL-1α (A2170, Abclonal), TNF-α (A0277, Abclonal), IL-6 (A0286, Abclonal), CD206 (A8301, Abclonal), CD86 (A16805, Abclonal), CD47 (A1838, Abclonal), and ATP1A (A0643, Abclonal); rabbit monoclonal antibodies against STING (13647, CST, Beverly, MA, USA), p-NF-κB (3033, CST), p-TBK1 (5483, CST), TBK1 (ab40676, Abcam), p-IκB (2859, CST), IκB (4812, CST), p-IRF3 (4947, CST), and β-actin (AC026, Abclonal).

Techniques: Incubation, Concentration Assay, Western Blot, Fluorescence, Microscopy, Activation Assay, Isolation, Staining, Standard Deviation