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il 1β neutralizing antibody  (Bio X Cell)


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    Bio X Cell il 1β neutralizing antibody
    <t>Il-1β</t> <t>induces</t> Ly6g high neutrophil NETosis in the lung metastatic niche. (A) Heatmap of the scRNA-seq data showing the expression of cytokine genes at different time points during lung metastasis. (B and C) Representative immunofluorescence micrographs (B) showing NET formation by FACS-sorted Ly6g high and Ly6g low neutrophils ( n = 6) after treatment with Il-1β, Cxcl2, and Ccl6 for 6 h in vitro. NETs were stained with antibodies against Mpo (red) and H3cit (green), and nuclei were counterstained with DAPI (blue). The statistical data are presented in (C). (D) Representative immunofluorescence micrographs showing NET formation at the MACRO stages of lung tissue with PBS, rIl-1β, anti-IgG, and anti-Il-1β antibody treatment, respectively [4T1-LM3 (BALB/c) model, n = 5]. NETs were stained with antibodies against Mpo (red) and H3cit (green), and nuclei were counterstained with DAPI (blue). The bar graph on the right quantifies NET formation. (E) Representative bioluminescence imaging and hematoxylin and eosin (H&E) staining images at the MACRO lungs from mice treated with PBS, rIl-1β, IgG, or anti-Il-1β antibody [4T1-LM3 (BALB/c) model, n = 5]. The bar graph on the right shows the quantitative data of lung metastasis burden. (F) Violin plots showing the expression of Il1b in different cell clusters in the lung tissues based on scRNA-seq data from Fig. D. (G) Representative immunofluorescence micrographs demonstrate NET formation in sorted Ly6g high neutrophils ( n = 6). Neutrophils were treated with CM-MΦ or CM-MΦ that had been neutralized with an anti-Il-1β antibody. NETs were stained with antibodies against Mpo (red) and H3cit (green), and nuclei were counterstained with DAPI (blue). (H and I) Mice were treated with anti-IgG control, anti-F4/80 antibody, or anti-F4/80 antibody combined with rIl-1β until the macrometastatic stage [4T1-LM3 (BALB/c) model, n = 6]. (H) Il-1β levels in the lungs were detected by ELISA. (I) Representative immunofluorescence images show NET formation. NETs were stained for Mpo (red) and H3cit (green), and nuclei were counterstained with DAPI (blue). The bar graph on the right quantifies NET formation (I). (J) Macrophages were treated with CM-Neu, NETs (5 μg/ml), NETs (10 μg/ml), or NETs (10 μg/ml) combined with deoxyribonuclease (DNase) I ( n = 3). The expression of Il1b was determined by qPCR. The data with error bars are presented as the mean ± SD; statistical significance was determined by 2-way ANOVA (C) and 1-way ANOVA test (D, E, and G to J). 4T1-LM3, 4T1-lung metastasis 3; ANOVA, analysis of variance; Ccl11 , c-c motif chemokine ligand 11; Ccl12 , c-c motif chemokine ligand 12; Ccl17 , c-c motif chemokine ligand 17; Ccl2 , c-c motif chemokine ligand 2; Ccl22 , c-c motif chemokine ligand 22; Ccl3 , c-c motif chemokine ligand 3; Ccl4 , c-c motif chemokine ligand 4; Ccl5 , c-c motif chemokine ligand 5; Ccl6 , c-c motif chemokine ligand 6; CCL6; c-c motif ligand 6; Ccl9 , c-c motif chemokine ligand 9; CM-MΦ, macrophage-derived conditioned medium; CM-Neu, neutrophil-derived conditioned medium; Cxcl12 , c-x-c motif chemokine ligand 12; Cxcl14 , c-x-c motif chemokine ligand 14; Cxcl16 , c-x-c motif chemokine ligand 16; CXCL2, c-x-c motif chemokine ligand 2; Cxcl2 , c-x-c motif chemokine ligand 2; Cxcl3 , c-x-c motif chemokine ligand 3; Cxcl9 , c-x-c motif chemokine ligand 9; DAPI, 4’,6-diamidino-2-phenylindole; ELISA, enzyme linked immunosorbent assay; FACS, fluorescence-activated cell sorting; H3cit; citrullinated histone H3; Il12a , interleukin 12a; Il13 , interleukin 13; Il18 , interleukin, 18; Il1a , interleukin 1α; Il1b , interleukin 1β; Il-1β, interleukin-1β; Il2 ,interleukin 2; Il33 , interleukin 33; Il4 , interleukin 4; Il6 , interleukin 6; Ly6g, lymphocyte antigen 6 complex locus g; MACRO, macrometastatic lung; MICRO, micrometastatic lung; MPO, myeloperoxidase; NETs, neutrophil extracellular trap; NK, natural killer; NL, normal lung; Ppbp , pro-platelet basic protein; Neu, neutrophil; PRE, premetastatic lung; qRT-PCR, quantitative real-time polymerase chain reaction; rIl-1β, recombinant interleukin-1β; scRNA-seq: single-cell RNA sequencing; SD, standard deviation.
    Il 1β Neutralizing Antibody, supplied by Bio X Cell, used in various techniques. Bioz Stars score: 96/100, based on 164 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/il 1β neutralizing antibody/product/Bio X Cell
    Average 96 stars, based on 164 article reviews
    il 1β neutralizing antibody - by Bioz Stars, 2026-06
    96/100 stars

    Images

    1) Product Images from "The Ly6g high Neutrophil Subset Dictates Breast Cancer Lung Metastasis via CD8 + T Cell Death"

    Article Title: The Ly6g high Neutrophil Subset Dictates Breast Cancer Lung Metastasis via CD8 + T Cell Death

    Journal: Cancer Communications

    doi: 10.34133/cancomm.0003

    Il-1β induces Ly6g high neutrophil NETosis in the lung metastatic niche. (A) Heatmap of the scRNA-seq data showing the expression of cytokine genes at different time points during lung metastasis. (B and C) Representative immunofluorescence micrographs (B) showing NET formation by FACS-sorted Ly6g high and Ly6g low neutrophils ( n = 6) after treatment with Il-1β, Cxcl2, and Ccl6 for 6 h in vitro. NETs were stained with antibodies against Mpo (red) and H3cit (green), and nuclei were counterstained with DAPI (blue). The statistical data are presented in (C). (D) Representative immunofluorescence micrographs showing NET formation at the MACRO stages of lung tissue with PBS, rIl-1β, anti-IgG, and anti-Il-1β antibody treatment, respectively [4T1-LM3 (BALB/c) model, n = 5]. NETs were stained with antibodies against Mpo (red) and H3cit (green), and nuclei were counterstained with DAPI (blue). The bar graph on the right quantifies NET formation. (E) Representative bioluminescence imaging and hematoxylin and eosin (H&E) staining images at the MACRO lungs from mice treated with PBS, rIl-1β, IgG, or anti-Il-1β antibody [4T1-LM3 (BALB/c) model, n = 5]. The bar graph on the right shows the quantitative data of lung metastasis burden. (F) Violin plots showing the expression of Il1b in different cell clusters in the lung tissues based on scRNA-seq data from Fig. D. (G) Representative immunofluorescence micrographs demonstrate NET formation in sorted Ly6g high neutrophils ( n = 6). Neutrophils were treated with CM-MΦ or CM-MΦ that had been neutralized with an anti-Il-1β antibody. NETs were stained with antibodies against Mpo (red) and H3cit (green), and nuclei were counterstained with DAPI (blue). (H and I) Mice were treated with anti-IgG control, anti-F4/80 antibody, or anti-F4/80 antibody combined with rIl-1β until the macrometastatic stage [4T1-LM3 (BALB/c) model, n = 6]. (H) Il-1β levels in the lungs were detected by ELISA. (I) Representative immunofluorescence images show NET formation. NETs were stained for Mpo (red) and H3cit (green), and nuclei were counterstained with DAPI (blue). The bar graph on the right quantifies NET formation (I). (J) Macrophages were treated with CM-Neu, NETs (5 μg/ml), NETs (10 μg/ml), or NETs (10 μg/ml) combined with deoxyribonuclease (DNase) I ( n = 3). The expression of Il1b was determined by qPCR. The data with error bars are presented as the mean ± SD; statistical significance was determined by 2-way ANOVA (C) and 1-way ANOVA test (D, E, and G to J). 4T1-LM3, 4T1-lung metastasis 3; ANOVA, analysis of variance; Ccl11 , c-c motif chemokine ligand 11; Ccl12 , c-c motif chemokine ligand 12; Ccl17 , c-c motif chemokine ligand 17; Ccl2 , c-c motif chemokine ligand 2; Ccl22 , c-c motif chemokine ligand 22; Ccl3 , c-c motif chemokine ligand 3; Ccl4 , c-c motif chemokine ligand 4; Ccl5 , c-c motif chemokine ligand 5; Ccl6 , c-c motif chemokine ligand 6; CCL6; c-c motif ligand 6; Ccl9 , c-c motif chemokine ligand 9; CM-MΦ, macrophage-derived conditioned medium; CM-Neu, neutrophil-derived conditioned medium; Cxcl12 , c-x-c motif chemokine ligand 12; Cxcl14 , c-x-c motif chemokine ligand 14; Cxcl16 , c-x-c motif chemokine ligand 16; CXCL2, c-x-c motif chemokine ligand 2; Cxcl2 , c-x-c motif chemokine ligand 2; Cxcl3 , c-x-c motif chemokine ligand 3; Cxcl9 , c-x-c motif chemokine ligand 9; DAPI, 4’,6-diamidino-2-phenylindole; ELISA, enzyme linked immunosorbent assay; FACS, fluorescence-activated cell sorting; H3cit; citrullinated histone H3; Il12a , interleukin 12a; Il13 , interleukin 13; Il18 , interleukin, 18; Il1a , interleukin 1α; Il1b , interleukin 1β; Il-1β, interleukin-1β; Il2 ,interleukin 2; Il33 , interleukin 33; Il4 , interleukin 4; Il6 , interleukin 6; Ly6g, lymphocyte antigen 6 complex locus g; MACRO, macrometastatic lung; MICRO, micrometastatic lung; MPO, myeloperoxidase; NETs, neutrophil extracellular trap; NK, natural killer; NL, normal lung; Ppbp , pro-platelet basic protein; Neu, neutrophil; PRE, premetastatic lung; qRT-PCR, quantitative real-time polymerase chain reaction; rIl-1β, recombinant interleukin-1β; scRNA-seq: single-cell RNA sequencing; SD, standard deviation.
    Figure Legend Snippet: Il-1β induces Ly6g high neutrophil NETosis in the lung metastatic niche. (A) Heatmap of the scRNA-seq data showing the expression of cytokine genes at different time points during lung metastasis. (B and C) Representative immunofluorescence micrographs (B) showing NET formation by FACS-sorted Ly6g high and Ly6g low neutrophils ( n = 6) after treatment with Il-1β, Cxcl2, and Ccl6 for 6 h in vitro. NETs were stained with antibodies against Mpo (red) and H3cit (green), and nuclei were counterstained with DAPI (blue). The statistical data are presented in (C). (D) Representative immunofluorescence micrographs showing NET formation at the MACRO stages of lung tissue with PBS, rIl-1β, anti-IgG, and anti-Il-1β antibody treatment, respectively [4T1-LM3 (BALB/c) model, n = 5]. NETs were stained with antibodies against Mpo (red) and H3cit (green), and nuclei were counterstained with DAPI (blue). The bar graph on the right quantifies NET formation. (E) Representative bioluminescence imaging and hematoxylin and eosin (H&E) staining images at the MACRO lungs from mice treated with PBS, rIl-1β, IgG, or anti-Il-1β antibody [4T1-LM3 (BALB/c) model, n = 5]. The bar graph on the right shows the quantitative data of lung metastasis burden. (F) Violin plots showing the expression of Il1b in different cell clusters in the lung tissues based on scRNA-seq data from Fig. D. (G) Representative immunofluorescence micrographs demonstrate NET formation in sorted Ly6g high neutrophils ( n = 6). Neutrophils were treated with CM-MΦ or CM-MΦ that had been neutralized with an anti-Il-1β antibody. NETs were stained with antibodies against Mpo (red) and H3cit (green), and nuclei were counterstained with DAPI (blue). (H and I) Mice were treated with anti-IgG control, anti-F4/80 antibody, or anti-F4/80 antibody combined with rIl-1β until the macrometastatic stage [4T1-LM3 (BALB/c) model, n = 6]. (H) Il-1β levels in the lungs were detected by ELISA. (I) Representative immunofluorescence images show NET formation. NETs were stained for Mpo (red) and H3cit (green), and nuclei were counterstained with DAPI (blue). The bar graph on the right quantifies NET formation (I). (J) Macrophages were treated with CM-Neu, NETs (5 μg/ml), NETs (10 μg/ml), or NETs (10 μg/ml) combined with deoxyribonuclease (DNase) I ( n = 3). The expression of Il1b was determined by qPCR. The data with error bars are presented as the mean ± SD; statistical significance was determined by 2-way ANOVA (C) and 1-way ANOVA test (D, E, and G to J). 4T1-LM3, 4T1-lung metastasis 3; ANOVA, analysis of variance; Ccl11 , c-c motif chemokine ligand 11; Ccl12 , c-c motif chemokine ligand 12; Ccl17 , c-c motif chemokine ligand 17; Ccl2 , c-c motif chemokine ligand 2; Ccl22 , c-c motif chemokine ligand 22; Ccl3 , c-c motif chemokine ligand 3; Ccl4 , c-c motif chemokine ligand 4; Ccl5 , c-c motif chemokine ligand 5; Ccl6 , c-c motif chemokine ligand 6; CCL6; c-c motif ligand 6; Ccl9 , c-c motif chemokine ligand 9; CM-MΦ, macrophage-derived conditioned medium; CM-Neu, neutrophil-derived conditioned medium; Cxcl12 , c-x-c motif chemokine ligand 12; Cxcl14 , c-x-c motif chemokine ligand 14; Cxcl16 , c-x-c motif chemokine ligand 16; CXCL2, c-x-c motif chemokine ligand 2; Cxcl2 , c-x-c motif chemokine ligand 2; Cxcl3 , c-x-c motif chemokine ligand 3; Cxcl9 , c-x-c motif chemokine ligand 9; DAPI, 4’,6-diamidino-2-phenylindole; ELISA, enzyme linked immunosorbent assay; FACS, fluorescence-activated cell sorting; H3cit; citrullinated histone H3; Il12a , interleukin 12a; Il13 , interleukin 13; Il18 , interleukin, 18; Il1a , interleukin 1α; Il1b , interleukin 1β; Il-1β, interleukin-1β; Il2 ,interleukin 2; Il33 , interleukin 33; Il4 , interleukin 4; Il6 , interleukin 6; Ly6g, lymphocyte antigen 6 complex locus g; MACRO, macrometastatic lung; MICRO, micrometastatic lung; MPO, myeloperoxidase; NETs, neutrophil extracellular trap; NK, natural killer; NL, normal lung; Ppbp , pro-platelet basic protein; Neu, neutrophil; PRE, premetastatic lung; qRT-PCR, quantitative real-time polymerase chain reaction; rIl-1β, recombinant interleukin-1β; scRNA-seq: single-cell RNA sequencing; SD, standard deviation.

    Techniques Used: Expressing, Immunofluorescence, In Vitro, Staining, Imaging, Control, Enzyme-linked Immunosorbent Assay, Derivative Assay, Fluorescence, FACS, Quantitative RT-PCR, Real-time Polymerase Chain Reaction, Recombinant, RNA Sequencing, Standard Deviation

    Prognostic significance of NETs in human BC. (A) Representative FACS plot showing the ratio of human CD84 high and CD84 low neutrophils in healthy individuals ( n = 50) and patients with BC at different stages [stages I/II ( n = 80), stages III/IV ( n = 80)]. To define the CD84 high and CD84 low subsets in humans, we first established the positive gating threshold using FMO controls. Subsequently, the boundary between “high” and “low” subsets was determined based on a clear inflection point observed in the fluorescence intensity histogram. Statistical significance was determined by comparing with the healthy group. The bar graph on the right quantifies the ratio of human CD84 high and CD84 low neutrophils. (B) Representative immunofluorescence micrographs showing NET formation of CD84 high and CD84 low neutrophils, which were sorted by FACS after treatment with PMA for 2 h ( n = 6). NETs were stained with antibodies against MPO (red) and H3cit (green), and nuclei were counterstained with DAPI (blue). The bar graph on the right quantifies the formation of NETs. (C) Plasma NET levels in healthy individuals ( n = 50) and BC patients at different stages [stages I/II ( n = 80), stages III/IV ( n = 80)]. (D) Kaplan–Meier survival curves showing the overall survival (OS) of BC patients with low (NETs < 344.91 pg/ml; n = 83) or high (NETs ≥ 344.91 pg/ml; n = 77) concentrations of plasma NETs. BC patients were stratified into high and low NET groups using the mean plasma NET level of the entire cohort as the cutoff. (E) Receiver operator characteristic (ROC) curve analysis of plasma NET levels for predicting BC patients’ lung metastases ( n = 160). The area under the curve (AUC) value reflects the model’s power to distinguish between BC patients with and without lung metastasis within 6 years after diagnosis. Higher AUC values (approaching 1) denote superior differentiation accuracy at this time point. (F) Correlation between plasma NET levels and CD8 + T cell proportion in healthy individuals and patients with BC ( n = 210). (G) Kaplan–Meier analysis showing the recurrence-free survival of BC patients with high or low levels of LL37 ( n = 4,929). Data were obtained from the Kaplan–Meier plotter database, which does not provide detailed numerical thresholds for LL37 level classification. (H) Mechanism scheme of Ly6g high and Ly6g low neutrophils in promoting pulmonary metastasis of BC. Briefly, Ly6g high neutrophils accumulated in the premetastatic stage and induced CD8 + T cell apoptosis through NETosis. The NET-derived cathelicidin directly bound with Ant1, an mPTP protein in CD8 + T cells, leading to conformational changes in the Ant1 and subsequent Ant1–Vdac1 complex formation, which resulted in mPTP opening, loss of ΔΨm, and uncoupling of mitochondrial electron transport chain in CD8 + T cells. Ly6g low neutrophils bearing MDSC-like transcriptional signatures exhibit a superior capacity to inhibit the proliferation and effector functions of CD8 + T cells. The data with error bars are presented as the mean ± SD; statistical significance was determined by 2-way ANOVA (A), Student’s t test (B), 1-way ANOVA test (C), and 2-sided log-rank test (D and G). 4T1-LM3, 4T1-lung metastasis 3; ANOVA, analysis of variance; APC, allophycocyanin; BC, breast cancer; CD8, cluster of differentiation 8; CD84, cluster of differentiation 84; CI, confidence interval; DAPI, 4',6-diamidino-2-phenylindole; E0771-LM3, E0771-lung metastasis 3; FACS, fluorescence-activated cell sorting; FMO, fluorescence-minus-one; H3cit, citrullinated histone H3; HR, hazard ratio; Interferon-γ, IFN-γ; Il-1β, interleukin-1β; Ly6g, lymphocyte antigen 6 complex locus g; MDSC, myeloid-derived suppressor cell; MPO, myeloperoxidase; mPTP, mitochondrial permeability transition pore; NETs, neutrophil extracellular traps; PADI4, peptidyl arginine deiminase 4; PE, phycoerythrin; PMA, phorbol 12-myristate 13-acetate; RFS, recurrence-free survival; ROS, reactive oxygen species; Vdac1, voltage-dependent anion channel 1; SD, standard deviation; ΔΨm, mitochondrial membrane potential.
    Figure Legend Snippet: Prognostic significance of NETs in human BC. (A) Representative FACS plot showing the ratio of human CD84 high and CD84 low neutrophils in healthy individuals ( n = 50) and patients with BC at different stages [stages I/II ( n = 80), stages III/IV ( n = 80)]. To define the CD84 high and CD84 low subsets in humans, we first established the positive gating threshold using FMO controls. Subsequently, the boundary between “high” and “low” subsets was determined based on a clear inflection point observed in the fluorescence intensity histogram. Statistical significance was determined by comparing with the healthy group. The bar graph on the right quantifies the ratio of human CD84 high and CD84 low neutrophils. (B) Representative immunofluorescence micrographs showing NET formation of CD84 high and CD84 low neutrophils, which were sorted by FACS after treatment with PMA for 2 h ( n = 6). NETs were stained with antibodies against MPO (red) and H3cit (green), and nuclei were counterstained with DAPI (blue). The bar graph on the right quantifies the formation of NETs. (C) Plasma NET levels in healthy individuals ( n = 50) and BC patients at different stages [stages I/II ( n = 80), stages III/IV ( n = 80)]. (D) Kaplan–Meier survival curves showing the overall survival (OS) of BC patients with low (NETs < 344.91 pg/ml; n = 83) or high (NETs ≥ 344.91 pg/ml; n = 77) concentrations of plasma NETs. BC patients were stratified into high and low NET groups using the mean plasma NET level of the entire cohort as the cutoff. (E) Receiver operator characteristic (ROC) curve analysis of plasma NET levels for predicting BC patients’ lung metastases ( n = 160). The area under the curve (AUC) value reflects the model’s power to distinguish between BC patients with and without lung metastasis within 6 years after diagnosis. Higher AUC values (approaching 1) denote superior differentiation accuracy at this time point. (F) Correlation between plasma NET levels and CD8 + T cell proportion in healthy individuals and patients with BC ( n = 210). (G) Kaplan–Meier analysis showing the recurrence-free survival of BC patients with high or low levels of LL37 ( n = 4,929). Data were obtained from the Kaplan–Meier plotter database, which does not provide detailed numerical thresholds for LL37 level classification. (H) Mechanism scheme of Ly6g high and Ly6g low neutrophils in promoting pulmonary metastasis of BC. Briefly, Ly6g high neutrophils accumulated in the premetastatic stage and induced CD8 + T cell apoptosis through NETosis. The NET-derived cathelicidin directly bound with Ant1, an mPTP protein in CD8 + T cells, leading to conformational changes in the Ant1 and subsequent Ant1–Vdac1 complex formation, which resulted in mPTP opening, loss of ΔΨm, and uncoupling of mitochondrial electron transport chain in CD8 + T cells. Ly6g low neutrophils bearing MDSC-like transcriptional signatures exhibit a superior capacity to inhibit the proliferation and effector functions of CD8 + T cells. The data with error bars are presented as the mean ± SD; statistical significance was determined by 2-way ANOVA (A), Student’s t test (B), 1-way ANOVA test (C), and 2-sided log-rank test (D and G). 4T1-LM3, 4T1-lung metastasis 3; ANOVA, analysis of variance; APC, allophycocyanin; BC, breast cancer; CD8, cluster of differentiation 8; CD84, cluster of differentiation 84; CI, confidence interval; DAPI, 4',6-diamidino-2-phenylindole; E0771-LM3, E0771-lung metastasis 3; FACS, fluorescence-activated cell sorting; FMO, fluorescence-minus-one; H3cit, citrullinated histone H3; HR, hazard ratio; Interferon-γ, IFN-γ; Il-1β, interleukin-1β; Ly6g, lymphocyte antigen 6 complex locus g; MDSC, myeloid-derived suppressor cell; MPO, myeloperoxidase; mPTP, mitochondrial permeability transition pore; NETs, neutrophil extracellular traps; PADI4, peptidyl arginine deiminase 4; PE, phycoerythrin; PMA, phorbol 12-myristate 13-acetate; RFS, recurrence-free survival; ROS, reactive oxygen species; Vdac1, voltage-dependent anion channel 1; SD, standard deviation; ΔΨm, mitochondrial membrane potential.

    Techniques Used: Fluorescence, Immunofluorescence, Staining, Clinical Proteomics, Biomarker Discovery, Derivative Assay, FACS, Permeability, Standard Deviation, Membrane



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    <t>Il-1β</t> <t>induces</t> Ly6g high neutrophil NETosis in the lung metastatic niche. (A) Heatmap of the scRNA-seq data showing the expression of cytokine genes at different time points during lung metastasis. (B and C) Representative immunofluorescence micrographs (B) showing NET formation by FACS-sorted Ly6g high and Ly6g low neutrophils ( n = 6) after treatment with Il-1β, Cxcl2, and Ccl6 for 6 h in vitro. NETs were stained with antibodies against Mpo (red) and H3cit (green), and nuclei were counterstained with DAPI (blue). The statistical data are presented in (C). (D) Representative immunofluorescence micrographs showing NET formation at the MACRO stages of lung tissue with PBS, rIl-1β, anti-IgG, and anti-Il-1β antibody treatment, respectively [4T1-LM3 (BALB/c) model, n = 5]. NETs were stained with antibodies against Mpo (red) and H3cit (green), and nuclei were counterstained with DAPI (blue). The bar graph on the right quantifies NET formation. (E) Representative bioluminescence imaging and hematoxylin and eosin (H&E) staining images at the MACRO lungs from mice treated with PBS, rIl-1β, IgG, or anti-Il-1β antibody [4T1-LM3 (BALB/c) model, n = 5]. The bar graph on the right shows the quantitative data of lung metastasis burden. (F) Violin plots showing the expression of Il1b in different cell clusters in the lung tissues based on scRNA-seq data from Fig. D. (G) Representative immunofluorescence micrographs demonstrate NET formation in sorted Ly6g high neutrophils ( n = 6). Neutrophils were treated with CM-MΦ or CM-MΦ that had been neutralized with an anti-Il-1β antibody. NETs were stained with antibodies against Mpo (red) and H3cit (green), and nuclei were counterstained with DAPI (blue). (H and I) Mice were treated with anti-IgG control, anti-F4/80 antibody, or anti-F4/80 antibody combined with rIl-1β until the macrometastatic stage [4T1-LM3 (BALB/c) model, n = 6]. (H) Il-1β levels in the lungs were detected by ELISA. (I) Representative immunofluorescence images show NET formation. NETs were stained for Mpo (red) and H3cit (green), and nuclei were counterstained with DAPI (blue). The bar graph on the right quantifies NET formation (I). (J) Macrophages were treated with CM-Neu, NETs (5 μg/ml), NETs (10 μg/ml), or NETs (10 μg/ml) combined with deoxyribonuclease (DNase) I ( n = 3). The expression of Il1b was determined by qPCR. The data with error bars are presented as the mean ± SD; statistical significance was determined by 2-way ANOVA (C) and 1-way ANOVA test (D, E, and G to J). 4T1-LM3, 4T1-lung metastasis 3; ANOVA, analysis of variance; Ccl11 , c-c motif chemokine ligand 11; Ccl12 , c-c motif chemokine ligand 12; Ccl17 , c-c motif chemokine ligand 17; Ccl2 , c-c motif chemokine ligand 2; Ccl22 , c-c motif chemokine ligand 22; Ccl3 , c-c motif chemokine ligand 3; Ccl4 , c-c motif chemokine ligand 4; Ccl5 , c-c motif chemokine ligand 5; Ccl6 , c-c motif chemokine ligand 6; CCL6; c-c motif ligand 6; Ccl9 , c-c motif chemokine ligand 9; CM-MΦ, macrophage-derived conditioned medium; CM-Neu, neutrophil-derived conditioned medium; Cxcl12 , c-x-c motif chemokine ligand 12; Cxcl14 , c-x-c motif chemokine ligand 14; Cxcl16 , c-x-c motif chemokine ligand 16; CXCL2, c-x-c motif chemokine ligand 2; Cxcl2 , c-x-c motif chemokine ligand 2; Cxcl3 , c-x-c motif chemokine ligand 3; Cxcl9 , c-x-c motif chemokine ligand 9; DAPI, 4’,6-diamidino-2-phenylindole; ELISA, enzyme linked immunosorbent assay; FACS, fluorescence-activated cell sorting; H3cit; citrullinated histone H3; Il12a , interleukin 12a; Il13 , interleukin 13; Il18 , interleukin, 18; Il1a , interleukin 1α; Il1b , interleukin 1β; Il-1β, interleukin-1β; Il2 ,interleukin 2; Il33 , interleukin 33; Il4 , interleukin 4; Il6 , interleukin 6; Ly6g, lymphocyte antigen 6 complex locus g; MACRO, macrometastatic lung; MICRO, micrometastatic lung; MPO, myeloperoxidase; NETs, neutrophil extracellular trap; NK, natural killer; NL, normal lung; Ppbp , pro-platelet basic protein; Neu, neutrophil; PRE, premetastatic lung; qRT-PCR, quantitative real-time polymerase chain reaction; rIl-1β, recombinant interleukin-1β; scRNA-seq: single-cell RNA sequencing; SD, standard deviation.
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    Fig. 1. NLRP3 inflammasomes are activated in macrophages at the injured enthesis. (A) Schematic diagram of RNA-seq and validation of DEGs. (B) PCA of the sham operation and RCTR groups. (C) Heat map of DEGs between the sham operation and RCTR groups. (D) Relative mRNA expression levels of Il1b, Caspase-1, Nlrp3, and P2rx7 in the enthesis of RCTR groups in comparison to sham operation groups. (E) Immunofluorescence (IF) staining of CD68 (red), NLRP3 (green), and caspase-1 (magenta) in the injured enthesis of wild-type and Nlrp3−/− mice at 3 dpi. Orange and green dashed squares represent enlarged images of the enthesis. Arrows indicate specks of NLRP3 and caspase-1. (F) Quantification of specks per macrophage in the injured enthesis of wild-type and Nlrp3−/− mice at 3 dpi. (G and H) The relative caspase-1 activity <t>and</t> <t>IL-1β</t> concentration of the enthesis in wild-type and Nlrp3−/− mice at 3, 7, 14, and 28 dpi. T, tendon; I, tendon-to-bone interface; B, bone. Data are presented as means ± SD. Statistical significance was determined using one-way analysis of variance (ANOVA) with Tukey’s multiple comparisons test. d, days.
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    Fig. 1. NLRP3 inflammasomes are activated in macrophages at the injured enthesis. (A) Schematic diagram of RNA-seq and validation of DEGs. (B) PCA of the sham operation and RCTR groups. (C) Heat map of DEGs between the sham operation and RCTR groups. (D) Relative mRNA expression levels of Il1b, Caspase-1, Nlrp3, and P2rx7 in the enthesis of RCTR groups in comparison to sham operation groups. (E) Immunofluorescence (IF) staining of CD68 (red), NLRP3 (green), and caspase-1 (magenta) in the injured enthesis of wild-type and Nlrp3−/− mice at 3 dpi. Orange and green dashed squares represent enlarged images of the enthesis. Arrows indicate specks of NLRP3 and caspase-1. (F) Quantification of specks per macrophage in the injured enthesis of wild-type and Nlrp3−/− mice at 3 dpi. (G and H) The relative caspase-1 activity <t>and</t> <t>IL-1β</t> concentration of the enthesis in wild-type and Nlrp3−/− mice at 3, 7, 14, and 28 dpi. T, tendon; I, tendon-to-bone interface; B, bone. Data are presented as means ± SD. Statistical significance was determined using one-way analysis of variance (ANOVA) with Tukey’s multiple comparisons test. d, days.
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    Fig. 1. NLRP3 inflammasomes are activated in macrophages at the injured enthesis. (A) Schematic diagram of RNA-seq and validation of DEGs. (B) PCA of the sham operation and RCTR groups. (C) Heat map of DEGs between the sham operation and RCTR groups. (D) Relative mRNA expression levels of Il1b, Caspase-1, Nlrp3, and P2rx7 in the enthesis of RCTR groups in comparison to sham operation groups. (E) Immunofluorescence (IF) staining of CD68 (red), NLRP3 (green), and caspase-1 (magenta) in the injured enthesis of wild-type and Nlrp3−/− mice at 3 dpi. Orange and green dashed squares represent enlarged images of the enthesis. Arrows indicate specks of NLRP3 and caspase-1. (F) Quantification of specks per macrophage in the injured enthesis of wild-type and Nlrp3−/− mice at 3 dpi. (G and H) The relative caspase-1 activity <t>and</t> <t>IL-1β</t> concentration of the enthesis in wild-type and Nlrp3−/− mice at 3, 7, 14, and 28 dpi. T, tendon; I, tendon-to-bone interface; B, bone. Data are presented as means ± SD. Statistical significance was determined using one-way analysis of variance (ANOVA) with Tukey’s multiple comparisons test. d, days.
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    Fig. 1. NLRP3 inflammasomes are activated in macrophages at the injured enthesis. (A) Schematic diagram of RNA-seq and validation of DEGs. (B) PCA of the sham operation and RCTR groups. (C) Heat map of DEGs between the sham operation and RCTR groups. (D) Relative mRNA expression levels of Il1b, Caspase-1, Nlrp3, and P2rx7 in the enthesis of RCTR groups in comparison to sham operation groups. (E) Immunofluorescence (IF) staining of CD68 (red), NLRP3 (green), and caspase-1 (magenta) in the injured enthesis of wild-type and Nlrp3−/− mice at 3 dpi. Orange and green dashed squares represent enlarged images of the enthesis. Arrows indicate specks of NLRP3 and caspase-1. (F) Quantification of specks per macrophage in the injured enthesis of wild-type and Nlrp3−/− mice at 3 dpi. (G and H) The relative caspase-1 activity <t>and</t> <t>IL-1β</t> concentration of the enthesis in wild-type and Nlrp3−/− mice at 3, 7, 14, and 28 dpi. T, tendon; I, tendon-to-bone interface; B, bone. Data are presented as means ± SD. Statistical significance was determined using one-way analysis of variance (ANOVA) with Tukey’s multiple comparisons test. d, days.
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    Fig. 1. NLRP3 inflammasomes are activated in macrophages at the injured enthesis. (A) Schematic diagram of RNA-seq and validation of DEGs. (B) PCA of the sham operation and RCTR groups. (C) Heat map of DEGs between the sham operation and RCTR groups. (D) Relative mRNA expression levels of Il1b, Caspase-1, Nlrp3, and P2rx7 in the enthesis of RCTR groups in comparison to sham operation groups. (E) Immunofluorescence (IF) staining of CD68 (red), NLRP3 (green), and caspase-1 (magenta) in the injured enthesis of wild-type and Nlrp3−/− mice at 3 dpi. Orange and green dashed squares represent enlarged images of the enthesis. Arrows indicate specks of NLRP3 and caspase-1. (F) Quantification of specks per macrophage in the injured enthesis of wild-type and Nlrp3−/− mice at 3 dpi. (G and H) The relative caspase-1 activity <t>and</t> <t>IL-1β</t> concentration of the enthesis in wild-type and Nlrp3−/− mice at 3, 7, 14, and 28 dpi. T, tendon; I, tendon-to-bone interface; B, bone. Data are presented as means ± SD. Statistical significance was determined using one-way analysis of variance (ANOVA) with Tukey’s multiple comparisons test. d, days.
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    Fig. 1. NLRP3 inflammasomes are activated in macrophages at the injured enthesis. (A) Schematic diagram of RNA-seq and validation of DEGs. (B) PCA of the sham operation and RCTR groups. (C) Heat map of DEGs between the sham operation and RCTR groups. (D) Relative mRNA expression levels of Il1b, Caspase-1, Nlrp3, and P2rx7 in the enthesis of RCTR groups in comparison to sham operation groups. (E) Immunofluorescence (IF) staining of CD68 (red), NLRP3 (green), and caspase-1 (magenta) in the injured enthesis of wild-type and Nlrp3−/− mice at 3 dpi. Orange and green dashed squares represent enlarged images of the enthesis. Arrows indicate specks of NLRP3 and caspase-1. (F) Quantification of specks per macrophage in the injured enthesis of wild-type and Nlrp3−/− mice at 3 dpi. (G and H) The relative caspase-1 activity <t>and</t> <t>IL-1β</t> concentration of the enthesis in wild-type and Nlrp3−/− mice at 3, 7, 14, and 28 dpi. T, tendon; I, tendon-to-bone interface; B, bone. Data are presented as means ± SD. Statistical significance was determined using one-way analysis of variance (ANOVA) with Tukey’s multiple comparisons test. d, days.
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    Image Search Results


    Il-1β induces Ly6g high neutrophil NETosis in the lung metastatic niche. (A) Heatmap of the scRNA-seq data showing the expression of cytokine genes at different time points during lung metastasis. (B and C) Representative immunofluorescence micrographs (B) showing NET formation by FACS-sorted Ly6g high and Ly6g low neutrophils ( n = 6) after treatment with Il-1β, Cxcl2, and Ccl6 for 6 h in vitro. NETs were stained with antibodies against Mpo (red) and H3cit (green), and nuclei were counterstained with DAPI (blue). The statistical data are presented in (C). (D) Representative immunofluorescence micrographs showing NET formation at the MACRO stages of lung tissue with PBS, rIl-1β, anti-IgG, and anti-Il-1β antibody treatment, respectively [4T1-LM3 (BALB/c) model, n = 5]. NETs were stained with antibodies against Mpo (red) and H3cit (green), and nuclei were counterstained with DAPI (blue). The bar graph on the right quantifies NET formation. (E) Representative bioluminescence imaging and hematoxylin and eosin (H&E) staining images at the MACRO lungs from mice treated with PBS, rIl-1β, IgG, or anti-Il-1β antibody [4T1-LM3 (BALB/c) model, n = 5]. The bar graph on the right shows the quantitative data of lung metastasis burden. (F) Violin plots showing the expression of Il1b in different cell clusters in the lung tissues based on scRNA-seq data from Fig. D. (G) Representative immunofluorescence micrographs demonstrate NET formation in sorted Ly6g high neutrophils ( n = 6). Neutrophils were treated with CM-MΦ or CM-MΦ that had been neutralized with an anti-Il-1β antibody. NETs were stained with antibodies against Mpo (red) and H3cit (green), and nuclei were counterstained with DAPI (blue). (H and I) Mice were treated with anti-IgG control, anti-F4/80 antibody, or anti-F4/80 antibody combined with rIl-1β until the macrometastatic stage [4T1-LM3 (BALB/c) model, n = 6]. (H) Il-1β levels in the lungs were detected by ELISA. (I) Representative immunofluorescence images show NET formation. NETs were stained for Mpo (red) and H3cit (green), and nuclei were counterstained with DAPI (blue). The bar graph on the right quantifies NET formation (I). (J) Macrophages were treated with CM-Neu, NETs (5 μg/ml), NETs (10 μg/ml), or NETs (10 μg/ml) combined with deoxyribonuclease (DNase) I ( n = 3). The expression of Il1b was determined by qPCR. The data with error bars are presented as the mean ± SD; statistical significance was determined by 2-way ANOVA (C) and 1-way ANOVA test (D, E, and G to J). 4T1-LM3, 4T1-lung metastasis 3; ANOVA, analysis of variance; Ccl11 , c-c motif chemokine ligand 11; Ccl12 , c-c motif chemokine ligand 12; Ccl17 , c-c motif chemokine ligand 17; Ccl2 , c-c motif chemokine ligand 2; Ccl22 , c-c motif chemokine ligand 22; Ccl3 , c-c motif chemokine ligand 3; Ccl4 , c-c motif chemokine ligand 4; Ccl5 , c-c motif chemokine ligand 5; Ccl6 , c-c motif chemokine ligand 6; CCL6; c-c motif ligand 6; Ccl9 , c-c motif chemokine ligand 9; CM-MΦ, macrophage-derived conditioned medium; CM-Neu, neutrophil-derived conditioned medium; Cxcl12 , c-x-c motif chemokine ligand 12; Cxcl14 , c-x-c motif chemokine ligand 14; Cxcl16 , c-x-c motif chemokine ligand 16; CXCL2, c-x-c motif chemokine ligand 2; Cxcl2 , c-x-c motif chemokine ligand 2; Cxcl3 , c-x-c motif chemokine ligand 3; Cxcl9 , c-x-c motif chemokine ligand 9; DAPI, 4’,6-diamidino-2-phenylindole; ELISA, enzyme linked immunosorbent assay; FACS, fluorescence-activated cell sorting; H3cit; citrullinated histone H3; Il12a , interleukin 12a; Il13 , interleukin 13; Il18 , interleukin, 18; Il1a , interleukin 1α; Il1b , interleukin 1β; Il-1β, interleukin-1β; Il2 ,interleukin 2; Il33 , interleukin 33; Il4 , interleukin 4; Il6 , interleukin 6; Ly6g, lymphocyte antigen 6 complex locus g; MACRO, macrometastatic lung; MICRO, micrometastatic lung; MPO, myeloperoxidase; NETs, neutrophil extracellular trap; NK, natural killer; NL, normal lung; Ppbp , pro-platelet basic protein; Neu, neutrophil; PRE, premetastatic lung; qRT-PCR, quantitative real-time polymerase chain reaction; rIl-1β, recombinant interleukin-1β; scRNA-seq: single-cell RNA sequencing; SD, standard deviation.

    Journal: Cancer Communications

    Article Title: The Ly6g high Neutrophil Subset Dictates Breast Cancer Lung Metastasis via CD8 + T Cell Death

    doi: 10.34133/cancomm.0003

    Figure Lengend Snippet: Il-1β induces Ly6g high neutrophil NETosis in the lung metastatic niche. (A) Heatmap of the scRNA-seq data showing the expression of cytokine genes at different time points during lung metastasis. (B and C) Representative immunofluorescence micrographs (B) showing NET formation by FACS-sorted Ly6g high and Ly6g low neutrophils ( n = 6) after treatment with Il-1β, Cxcl2, and Ccl6 for 6 h in vitro. NETs were stained with antibodies against Mpo (red) and H3cit (green), and nuclei were counterstained with DAPI (blue). The statistical data are presented in (C). (D) Representative immunofluorescence micrographs showing NET formation at the MACRO stages of lung tissue with PBS, rIl-1β, anti-IgG, and anti-Il-1β antibody treatment, respectively [4T1-LM3 (BALB/c) model, n = 5]. NETs were stained with antibodies against Mpo (red) and H3cit (green), and nuclei were counterstained with DAPI (blue). The bar graph on the right quantifies NET formation. (E) Representative bioluminescence imaging and hematoxylin and eosin (H&E) staining images at the MACRO lungs from mice treated with PBS, rIl-1β, IgG, or anti-Il-1β antibody [4T1-LM3 (BALB/c) model, n = 5]. The bar graph on the right shows the quantitative data of lung metastasis burden. (F) Violin plots showing the expression of Il1b in different cell clusters in the lung tissues based on scRNA-seq data from Fig. D. (G) Representative immunofluorescence micrographs demonstrate NET formation in sorted Ly6g high neutrophils ( n = 6). Neutrophils were treated with CM-MΦ or CM-MΦ that had been neutralized with an anti-Il-1β antibody. NETs were stained with antibodies against Mpo (red) and H3cit (green), and nuclei were counterstained with DAPI (blue). (H and I) Mice were treated with anti-IgG control, anti-F4/80 antibody, or anti-F4/80 antibody combined with rIl-1β until the macrometastatic stage [4T1-LM3 (BALB/c) model, n = 6]. (H) Il-1β levels in the lungs were detected by ELISA. (I) Representative immunofluorescence images show NET formation. NETs were stained for Mpo (red) and H3cit (green), and nuclei were counterstained with DAPI (blue). The bar graph on the right quantifies NET formation (I). (J) Macrophages were treated with CM-Neu, NETs (5 μg/ml), NETs (10 μg/ml), or NETs (10 μg/ml) combined with deoxyribonuclease (DNase) I ( n = 3). The expression of Il1b was determined by qPCR. The data with error bars are presented as the mean ± SD; statistical significance was determined by 2-way ANOVA (C) and 1-way ANOVA test (D, E, and G to J). 4T1-LM3, 4T1-lung metastasis 3; ANOVA, analysis of variance; Ccl11 , c-c motif chemokine ligand 11; Ccl12 , c-c motif chemokine ligand 12; Ccl17 , c-c motif chemokine ligand 17; Ccl2 , c-c motif chemokine ligand 2; Ccl22 , c-c motif chemokine ligand 22; Ccl3 , c-c motif chemokine ligand 3; Ccl4 , c-c motif chemokine ligand 4; Ccl5 , c-c motif chemokine ligand 5; Ccl6 , c-c motif chemokine ligand 6; CCL6; c-c motif ligand 6; Ccl9 , c-c motif chemokine ligand 9; CM-MΦ, macrophage-derived conditioned medium; CM-Neu, neutrophil-derived conditioned medium; Cxcl12 , c-x-c motif chemokine ligand 12; Cxcl14 , c-x-c motif chemokine ligand 14; Cxcl16 , c-x-c motif chemokine ligand 16; CXCL2, c-x-c motif chemokine ligand 2; Cxcl2 , c-x-c motif chemokine ligand 2; Cxcl3 , c-x-c motif chemokine ligand 3; Cxcl9 , c-x-c motif chemokine ligand 9; DAPI, 4’,6-diamidino-2-phenylindole; ELISA, enzyme linked immunosorbent assay; FACS, fluorescence-activated cell sorting; H3cit; citrullinated histone H3; Il12a , interleukin 12a; Il13 , interleukin 13; Il18 , interleukin, 18; Il1a , interleukin 1α; Il1b , interleukin 1β; Il-1β, interleukin-1β; Il2 ,interleukin 2; Il33 , interleukin 33; Il4 , interleukin 4; Il6 , interleukin 6; Ly6g, lymphocyte antigen 6 complex locus g; MACRO, macrometastatic lung; MICRO, micrometastatic lung; MPO, myeloperoxidase; NETs, neutrophil extracellular trap; NK, natural killer; NL, normal lung; Ppbp , pro-platelet basic protein; Neu, neutrophil; PRE, premetastatic lung; qRT-PCR, quantitative real-time polymerase chain reaction; rIl-1β, recombinant interleukin-1β; scRNA-seq: single-cell RNA sequencing; SD, standard deviation.

    Article Snippet: We then treated Ly6g high and Ly6g low neutrophils with this CM-MΦ, in the presence or absence of an Il-1β neutralizing antibody (5 μg/ml, BE0246, BioXCell), for 24 h. After treatment, the cells were incubated with the ROS-sensitive probe 2′,7′-dichlorodihydrofluorescein diacetate (DCFH-DA; 10 μM, 50101ES01, Yeasen) at 37 °C for 20 min, washed twice with PBS, and analyzed immediately using a BD FACSCanto Plus flow cytometer.

    Techniques: Expressing, Immunofluorescence, In Vitro, Staining, Imaging, Control, Enzyme-linked Immunosorbent Assay, Derivative Assay, Fluorescence, FACS, Quantitative RT-PCR, Real-time Polymerase Chain Reaction, Recombinant, RNA Sequencing, Standard Deviation

    Prognostic significance of NETs in human BC. (A) Representative FACS plot showing the ratio of human CD84 high and CD84 low neutrophils in healthy individuals ( n = 50) and patients with BC at different stages [stages I/II ( n = 80), stages III/IV ( n = 80)]. To define the CD84 high and CD84 low subsets in humans, we first established the positive gating threshold using FMO controls. Subsequently, the boundary between “high” and “low” subsets was determined based on a clear inflection point observed in the fluorescence intensity histogram. Statistical significance was determined by comparing with the healthy group. The bar graph on the right quantifies the ratio of human CD84 high and CD84 low neutrophils. (B) Representative immunofluorescence micrographs showing NET formation of CD84 high and CD84 low neutrophils, which were sorted by FACS after treatment with PMA for 2 h ( n = 6). NETs were stained with antibodies against MPO (red) and H3cit (green), and nuclei were counterstained with DAPI (blue). The bar graph on the right quantifies the formation of NETs. (C) Plasma NET levels in healthy individuals ( n = 50) and BC patients at different stages [stages I/II ( n = 80), stages III/IV ( n = 80)]. (D) Kaplan–Meier survival curves showing the overall survival (OS) of BC patients with low (NETs < 344.91 pg/ml; n = 83) or high (NETs ≥ 344.91 pg/ml; n = 77) concentrations of plasma NETs. BC patients were stratified into high and low NET groups using the mean plasma NET level of the entire cohort as the cutoff. (E) Receiver operator characteristic (ROC) curve analysis of plasma NET levels for predicting BC patients’ lung metastases ( n = 160). The area under the curve (AUC) value reflects the model’s power to distinguish between BC patients with and without lung metastasis within 6 years after diagnosis. Higher AUC values (approaching 1) denote superior differentiation accuracy at this time point. (F) Correlation between plasma NET levels and CD8 + T cell proportion in healthy individuals and patients with BC ( n = 210). (G) Kaplan–Meier analysis showing the recurrence-free survival of BC patients with high or low levels of LL37 ( n = 4,929). Data were obtained from the Kaplan–Meier plotter database, which does not provide detailed numerical thresholds for LL37 level classification. (H) Mechanism scheme of Ly6g high and Ly6g low neutrophils in promoting pulmonary metastasis of BC. Briefly, Ly6g high neutrophils accumulated in the premetastatic stage and induced CD8 + T cell apoptosis through NETosis. The NET-derived cathelicidin directly bound with Ant1, an mPTP protein in CD8 + T cells, leading to conformational changes in the Ant1 and subsequent Ant1–Vdac1 complex formation, which resulted in mPTP opening, loss of ΔΨm, and uncoupling of mitochondrial electron transport chain in CD8 + T cells. Ly6g low neutrophils bearing MDSC-like transcriptional signatures exhibit a superior capacity to inhibit the proliferation and effector functions of CD8 + T cells. The data with error bars are presented as the mean ± SD; statistical significance was determined by 2-way ANOVA (A), Student’s t test (B), 1-way ANOVA test (C), and 2-sided log-rank test (D and G). 4T1-LM3, 4T1-lung metastasis 3; ANOVA, analysis of variance; APC, allophycocyanin; BC, breast cancer; CD8, cluster of differentiation 8; CD84, cluster of differentiation 84; CI, confidence interval; DAPI, 4',6-diamidino-2-phenylindole; E0771-LM3, E0771-lung metastasis 3; FACS, fluorescence-activated cell sorting; FMO, fluorescence-minus-one; H3cit, citrullinated histone H3; HR, hazard ratio; Interferon-γ, IFN-γ; Il-1β, interleukin-1β; Ly6g, lymphocyte antigen 6 complex locus g; MDSC, myeloid-derived suppressor cell; MPO, myeloperoxidase; mPTP, mitochondrial permeability transition pore; NETs, neutrophil extracellular traps; PADI4, peptidyl arginine deiminase 4; PE, phycoerythrin; PMA, phorbol 12-myristate 13-acetate; RFS, recurrence-free survival; ROS, reactive oxygen species; Vdac1, voltage-dependent anion channel 1; SD, standard deviation; ΔΨm, mitochondrial membrane potential.

    Journal: Cancer Communications

    Article Title: The Ly6g high Neutrophil Subset Dictates Breast Cancer Lung Metastasis via CD8 + T Cell Death

    doi: 10.34133/cancomm.0003

    Figure Lengend Snippet: Prognostic significance of NETs in human BC. (A) Representative FACS plot showing the ratio of human CD84 high and CD84 low neutrophils in healthy individuals ( n = 50) and patients with BC at different stages [stages I/II ( n = 80), stages III/IV ( n = 80)]. To define the CD84 high and CD84 low subsets in humans, we first established the positive gating threshold using FMO controls. Subsequently, the boundary between “high” and “low” subsets was determined based on a clear inflection point observed in the fluorescence intensity histogram. Statistical significance was determined by comparing with the healthy group. The bar graph on the right quantifies the ratio of human CD84 high and CD84 low neutrophils. (B) Representative immunofluorescence micrographs showing NET formation of CD84 high and CD84 low neutrophils, which were sorted by FACS after treatment with PMA for 2 h ( n = 6). NETs were stained with antibodies against MPO (red) and H3cit (green), and nuclei were counterstained with DAPI (blue). The bar graph on the right quantifies the formation of NETs. (C) Plasma NET levels in healthy individuals ( n = 50) and BC patients at different stages [stages I/II ( n = 80), stages III/IV ( n = 80)]. (D) Kaplan–Meier survival curves showing the overall survival (OS) of BC patients with low (NETs < 344.91 pg/ml; n = 83) or high (NETs ≥ 344.91 pg/ml; n = 77) concentrations of plasma NETs. BC patients were stratified into high and low NET groups using the mean plasma NET level of the entire cohort as the cutoff. (E) Receiver operator characteristic (ROC) curve analysis of plasma NET levels for predicting BC patients’ lung metastases ( n = 160). The area under the curve (AUC) value reflects the model’s power to distinguish between BC patients with and without lung metastasis within 6 years after diagnosis. Higher AUC values (approaching 1) denote superior differentiation accuracy at this time point. (F) Correlation between plasma NET levels and CD8 + T cell proportion in healthy individuals and patients with BC ( n = 210). (G) Kaplan–Meier analysis showing the recurrence-free survival of BC patients with high or low levels of LL37 ( n = 4,929). Data were obtained from the Kaplan–Meier plotter database, which does not provide detailed numerical thresholds for LL37 level classification. (H) Mechanism scheme of Ly6g high and Ly6g low neutrophils in promoting pulmonary metastasis of BC. Briefly, Ly6g high neutrophils accumulated in the premetastatic stage and induced CD8 + T cell apoptosis through NETosis. The NET-derived cathelicidin directly bound with Ant1, an mPTP protein in CD8 + T cells, leading to conformational changes in the Ant1 and subsequent Ant1–Vdac1 complex formation, which resulted in mPTP opening, loss of ΔΨm, and uncoupling of mitochondrial electron transport chain in CD8 + T cells. Ly6g low neutrophils bearing MDSC-like transcriptional signatures exhibit a superior capacity to inhibit the proliferation and effector functions of CD8 + T cells. The data with error bars are presented as the mean ± SD; statistical significance was determined by 2-way ANOVA (A), Student’s t test (B), 1-way ANOVA test (C), and 2-sided log-rank test (D and G). 4T1-LM3, 4T1-lung metastasis 3; ANOVA, analysis of variance; APC, allophycocyanin; BC, breast cancer; CD8, cluster of differentiation 8; CD84, cluster of differentiation 84; CI, confidence interval; DAPI, 4',6-diamidino-2-phenylindole; E0771-LM3, E0771-lung metastasis 3; FACS, fluorescence-activated cell sorting; FMO, fluorescence-minus-one; H3cit, citrullinated histone H3; HR, hazard ratio; Interferon-γ, IFN-γ; Il-1β, interleukin-1β; Ly6g, lymphocyte antigen 6 complex locus g; MDSC, myeloid-derived suppressor cell; MPO, myeloperoxidase; mPTP, mitochondrial permeability transition pore; NETs, neutrophil extracellular traps; PADI4, peptidyl arginine deiminase 4; PE, phycoerythrin; PMA, phorbol 12-myristate 13-acetate; RFS, recurrence-free survival; ROS, reactive oxygen species; Vdac1, voltage-dependent anion channel 1; SD, standard deviation; ΔΨm, mitochondrial membrane potential.

    Article Snippet: We then treated Ly6g high and Ly6g low neutrophils with this CM-MΦ, in the presence or absence of an Il-1β neutralizing antibody (5 μg/ml, BE0246, BioXCell), for 24 h. After treatment, the cells were incubated with the ROS-sensitive probe 2′,7′-dichlorodihydrofluorescein diacetate (DCFH-DA; 10 μM, 50101ES01, Yeasen) at 37 °C for 20 min, washed twice with PBS, and analyzed immediately using a BD FACSCanto Plus flow cytometer.

    Techniques: Fluorescence, Immunofluorescence, Staining, Clinical Proteomics, Biomarker Discovery, Derivative Assay, FACS, Permeability, Standard Deviation, Membrane

    Fig. 1. NLRP3 inflammasomes are activated in macrophages at the injured enthesis. (A) Schematic diagram of RNA-seq and validation of DEGs. (B) PCA of the sham operation and RCTR groups. (C) Heat map of DEGs between the sham operation and RCTR groups. (D) Relative mRNA expression levels of Il1b, Caspase-1, Nlrp3, and P2rx7 in the enthesis of RCTR groups in comparison to sham operation groups. (E) Immunofluorescence (IF) staining of CD68 (red), NLRP3 (green), and caspase-1 (magenta) in the injured enthesis of wild-type and Nlrp3−/− mice at 3 dpi. Orange and green dashed squares represent enlarged images of the enthesis. Arrows indicate specks of NLRP3 and caspase-1. (F) Quantification of specks per macrophage in the injured enthesis of wild-type and Nlrp3−/− mice at 3 dpi. (G and H) The relative caspase-1 activity and IL-1β concentration of the enthesis in wild-type and Nlrp3−/− mice at 3, 7, 14, and 28 dpi. T, tendon; I, tendon-to-bone interface; B, bone. Data are presented as means ± SD. Statistical significance was determined using one-way analysis of variance (ANOVA) with Tukey’s multiple comparisons test. d, days.

    Journal: Science advances

    Article Title: The P2X7R/NLRP3 inflammasome axis suppresses enthesis regeneration through inflammatory and metabolic macrophage-stem cell cross-talk.

    doi: 10.1126/sciadv.adr4894

    Figure Lengend Snippet: Fig. 1. NLRP3 inflammasomes are activated in macrophages at the injured enthesis. (A) Schematic diagram of RNA-seq and validation of DEGs. (B) PCA of the sham operation and RCTR groups. (C) Heat map of DEGs between the sham operation and RCTR groups. (D) Relative mRNA expression levels of Il1b, Caspase-1, Nlrp3, and P2rx7 in the enthesis of RCTR groups in comparison to sham operation groups. (E) Immunofluorescence (IF) staining of CD68 (red), NLRP3 (green), and caspase-1 (magenta) in the injured enthesis of wild-type and Nlrp3−/− mice at 3 dpi. Orange and green dashed squares represent enlarged images of the enthesis. Arrows indicate specks of NLRP3 and caspase-1. (F) Quantification of specks per macrophage in the injured enthesis of wild-type and Nlrp3−/− mice at 3 dpi. (G and H) The relative caspase-1 activity and IL-1β concentration of the enthesis in wild-type and Nlrp3−/− mice at 3, 7, 14, and 28 dpi. T, tendon; I, tendon-to-bone interface; B, bone. Data are presented as means ± SD. Statistical significance was determined using one-way analysis of variance (ANOVA) with Tukey’s multiple comparisons test. d, days.

    Article Snippet: For antibodies treatment experiments, 200 μg of IL- 1β neutralizing antibodies (BioXcell, New Hampshire, USA, BE0246) or control IgG (BioXcell, New Hampshire, USA, BE0091) was injected into the joint cavity near the injured enthesis at 3 and 7 dpi.

    Techniques: RNA Sequencing, Biomarker Discovery, Expressing, Comparison, Immunofluorescence, Staining, Activity Assay, Concentration Assay

    Fig. 3. scRNA-seq uncovers that NLRP3 inflammasomes deteriorate inflammation and IL-1β inflammatory cross-talk. (A) Schematic of scRNA-seq, in which the enthesis was harvested from wild-type controls and Nlrp3−/− mice at 7 dpi and processed for scRNA-seq. (B) UMAP plot of 56,217 cells from wild-type controls (n = 3) and Nlrp3−/− mice (n = 3). (C) Bar plot of the proportions of nine major cell clusters in the injured enthesis of wild-type controls and Nlrp3−/− mice at 7 dpi. (D) Violin plots of specific gene expressions in macrophages, mesenchymal cells, and neutrophils. (E) GO enrichment analysis of down-regulated genes in PIM and up-regulated genes in AIM in Nlrp3−/− mice. (F) Circle plot of the interactions of subsets of macrophages and mesenchymal cells. Edge line thickness suggests the interaction strength between different cell clusters. (G) NicheNet analysis of ligand-target regulatory potential between macrophages and mesenchymal stem cells. (H) Gene set cores of IL-1 signaling in different mesenchymal cell subsets in wild-type controls and Nlrp3−/− mice. Statistical significance was determined using Student’s t test. FACS, fluorescence-activated cell sorting; TGF-β, transforming growth factor–β.

    Journal: Science advances

    Article Title: The P2X7R/NLRP3 inflammasome axis suppresses enthesis regeneration through inflammatory and metabolic macrophage-stem cell cross-talk.

    doi: 10.1126/sciadv.adr4894

    Figure Lengend Snippet: Fig. 3. scRNA-seq uncovers that NLRP3 inflammasomes deteriorate inflammation and IL-1β inflammatory cross-talk. (A) Schematic of scRNA-seq, in which the enthesis was harvested from wild-type controls and Nlrp3−/− mice at 7 dpi and processed for scRNA-seq. (B) UMAP plot of 56,217 cells from wild-type controls (n = 3) and Nlrp3−/− mice (n = 3). (C) Bar plot of the proportions of nine major cell clusters in the injured enthesis of wild-type controls and Nlrp3−/− mice at 7 dpi. (D) Violin plots of specific gene expressions in macrophages, mesenchymal cells, and neutrophils. (E) GO enrichment analysis of down-regulated genes in PIM and up-regulated genes in AIM in Nlrp3−/− mice. (F) Circle plot of the interactions of subsets of macrophages and mesenchymal cells. Edge line thickness suggests the interaction strength between different cell clusters. (G) NicheNet analysis of ligand-target regulatory potential between macrophages and mesenchymal stem cells. (H) Gene set cores of IL-1 signaling in different mesenchymal cell subsets in wild-type controls and Nlrp3−/− mice. Statistical significance was determined using Student’s t test. FACS, fluorescence-activated cell sorting; TGF-β, transforming growth factor–β.

    Article Snippet: For antibodies treatment experiments, 200 μg of IL- 1β neutralizing antibodies (BioXcell, New Hampshire, USA, BE0246) or control IgG (BioXcell, New Hampshire, USA, BE0091) was injected into the joint cavity near the injured enthesis at 3 and 7 dpi.

    Techniques: Fluorescence, FACS

    Fig. 4. Blocking IL-1β inflammatory cross-talk with neutralizing antibodies accelerates enthesis regeneration. (A) Schematic of animal experiments, in which the RCTR model was established, and IL-1β neutralizing antibodies or control IgG was injected into the articular cavity, with analyses at 14 and 28 dpi. (B) H&E and toluidine blue staining of the enthesis in mice with IL-1β neutralizing antibodies or control IgG injection at 14 and 28 dpi. Black dashed squares represent the enlarged images of the enthesis. (C and D) Histological scores and metachromasia area size of the enthesis in mice with IL-1β neutralizing antibodies or control IgG injection at 14 and 28 dpi. (E) Micro-CT coronal views of the humerus in mice with IL-1β neutralizing antibodies or control IgG injection at 14 and 28 dpi. Green dashed squares represent the area of the enthesis. (F to H) Quantitative analysis of BMD, BV/TV, and Tb. N of the enthesis in mice with IL-1β neutralizing antibodies or control IgG injection and sham operation. (I) Deformation and load curves of the enthesis in mice with IL-1β neutralizing antibodies or control IgG injection at 14 and 28 dpi. (J to L) Failure load, stiffness, and work of the enthesis in mice with IL-1β neutralizing antibodies or control IgG injection at 14 and 28 dpi. Data are presented as means ± SD. Statistical significance was deter- mined using one-way ANOVA with Tukey’s multiple comparisons test and Student’s t test.

    Journal: Science advances

    Article Title: The P2X7R/NLRP3 inflammasome axis suppresses enthesis regeneration through inflammatory and metabolic macrophage-stem cell cross-talk.

    doi: 10.1126/sciadv.adr4894

    Figure Lengend Snippet: Fig. 4. Blocking IL-1β inflammatory cross-talk with neutralizing antibodies accelerates enthesis regeneration. (A) Schematic of animal experiments, in which the RCTR model was established, and IL-1β neutralizing antibodies or control IgG was injected into the articular cavity, with analyses at 14 and 28 dpi. (B) H&E and toluidine blue staining of the enthesis in mice with IL-1β neutralizing antibodies or control IgG injection at 14 and 28 dpi. Black dashed squares represent the enlarged images of the enthesis. (C and D) Histological scores and metachromasia area size of the enthesis in mice with IL-1β neutralizing antibodies or control IgG injection at 14 and 28 dpi. (E) Micro-CT coronal views of the humerus in mice with IL-1β neutralizing antibodies or control IgG injection at 14 and 28 dpi. Green dashed squares represent the area of the enthesis. (F to H) Quantitative analysis of BMD, BV/TV, and Tb. N of the enthesis in mice with IL-1β neutralizing antibodies or control IgG injection and sham operation. (I) Deformation and load curves of the enthesis in mice with IL-1β neutralizing antibodies or control IgG injection at 14 and 28 dpi. (J to L) Failure load, stiffness, and work of the enthesis in mice with IL-1β neutralizing antibodies or control IgG injection at 14 and 28 dpi. Data are presented as means ± SD. Statistical significance was deter- mined using one-way ANOVA with Tukey’s multiple comparisons test and Student’s t test.

    Article Snippet: For antibodies treatment experiments, 200 μg of IL- 1β neutralizing antibodies (BioXcell, New Hampshire, USA, BE0246) or control IgG (BioXcell, New Hampshire, USA, BE0091) was injected into the joint cavity near the injured enthesis at 3 and 7 dpi.

    Techniques: Blocking Assay, Control, Injection, Staining, Micro-CT

    Fig. 5. NLRP3 inflammasomes suppress the secretion of anti-inflammatory cytokines by macrophages to inhibit inflammation resolution. (A) IL-1β concentration in the supernatant of wild-type and Nlrp3−/− BMDMs. (B) Scan images of the supernatant of wild-type and Nlrp3−/− BMDMs in the mouse inflammation array Q1. (C) Heat- map of inflammation factors in the supernatant of wild-type and Nlrp3−/− BMDMs. (D) Concentrations of IL-1β, IFN-γ, IL-6, TNF-α, IL-1α, IL-10, IL-13, and IL-4 in the super- natant of wild-type and Nlrp3−/− BMDMs. (E to H) IHC staining and ELISA analysis of IL-10 and IL-13 in the enthesis of wild-type and Nlrp3−/− mice. Green dashed squares represent the enlarged images of the enthesis. (I and J) Immunofluorescence staining and quantification of CD68 (green)– and CD206 (red)–positive cells in the enthesis of wild-type controls and Nlrp3−/− mice. Red dashed squares represent the enlarged images of the enthesis. Arrows indicate CD68+ and CD206+ macrophages. Data are presented as means ± SD. Statistical significance was determined using one-way ANOVA with Tukey’s multiple comparisons test and Student’s t test.

    Journal: Science advances

    Article Title: The P2X7R/NLRP3 inflammasome axis suppresses enthesis regeneration through inflammatory and metabolic macrophage-stem cell cross-talk.

    doi: 10.1126/sciadv.adr4894

    Figure Lengend Snippet: Fig. 5. NLRP3 inflammasomes suppress the secretion of anti-inflammatory cytokines by macrophages to inhibit inflammation resolution. (A) IL-1β concentration in the supernatant of wild-type and Nlrp3−/− BMDMs. (B) Scan images of the supernatant of wild-type and Nlrp3−/− BMDMs in the mouse inflammation array Q1. (C) Heat- map of inflammation factors in the supernatant of wild-type and Nlrp3−/− BMDMs. (D) Concentrations of IL-1β, IFN-γ, IL-6, TNF-α, IL-1α, IL-10, IL-13, and IL-4 in the super- natant of wild-type and Nlrp3−/− BMDMs. (E to H) IHC staining and ELISA analysis of IL-10 and IL-13 in the enthesis of wild-type and Nlrp3−/− mice. Green dashed squares represent the enlarged images of the enthesis. (I and J) Immunofluorescence staining and quantification of CD68 (green)– and CD206 (red)–positive cells in the enthesis of wild-type controls and Nlrp3−/− mice. Red dashed squares represent the enlarged images of the enthesis. Arrows indicate CD68+ and CD206+ macrophages. Data are presented as means ± SD. Statistical significance was determined using one-way ANOVA with Tukey’s multiple comparisons test and Student’s t test.

    Article Snippet: For antibodies treatment experiments, 200 μg of IL- 1β neutralizing antibodies (BioXcell, New Hampshire, USA, BE0246) or control IgG (BioXcell, New Hampshire, USA, BE0091) was injected into the joint cavity near the injured enthesis at 3 and 7 dpi.

    Techniques: Concentration Assay, Immunohistochemistry, Enzyme-linked Immunosorbent Assay, Immunofluorescence, Staining

    Fig. 8. Conditional KO of P2rx7 in myeloid cells reduces NLRP3 inflammasome activation after enthesis injury and improves enthesis regeneration. (A) Immuno- fluorescence staining of CD68 (green) and P2X7R (yellow) in native and injured enthesis. Red dashed squares represent enlarged images of the enthesis. (B) Feature plots of single-cell gene expression of P2rx7 in macrophages in wild-type mice. (C and D) The relative caspase-1 activity and concentration of IL-1β in the enthesis of Lyz2-P2rx7f/f and Lyz2-P2rx7−/− mice at 3, 7, 14, and 28 dpi. (E) Schematic of animal experiments, in which the RCTR model was established in Lyz2-P2rx7f/f and Lyz2-P2rx7−/− mice, and analyzed at 3, 7, 14, and 28 dpi. (F) H&E and toluidine blue staining of the enthesis in Lyz2-P2rx7f/f and Lyz2-P2rx7−/− mice at 14 and 28 dpi. Black dashed squares represent enlarged images of the enthesis. (G and H) Histological scores and the metachromasia area size of the enthesis in Lyz2-P2rx7f/f and Lyz2-P2rx7−/− mice at 14 and 28 dpi. (I) Micro-CT coronal views of the humerus of Lyz2-P2rx7f/f and Lyz2-P2rx7−/− mice at 14 and 28 dpi. Green dashed squares represent the area of interest. (J and K) Quantitative analysis of the BMD and BV/TV of the enthesis. (L) Deformation and load curves of the enthesis in Lyz2-P2rx7 f/f and Lyz2-P2rx7−/− mice at 14 and 28 dpi. (M to O) Failure load, stiffness, and work of the enthesis in mice with IL-1β neutralizing antibodies or control IgG injection at 14 and 28 dpi. Data are presented as means ± SD. Statistical significance was determined using one-way ANOVA with Tukey’s multiple comparisons test and Student’s t test.

    Journal: Science advances

    Article Title: The P2X7R/NLRP3 inflammasome axis suppresses enthesis regeneration through inflammatory and metabolic macrophage-stem cell cross-talk.

    doi: 10.1126/sciadv.adr4894

    Figure Lengend Snippet: Fig. 8. Conditional KO of P2rx7 in myeloid cells reduces NLRP3 inflammasome activation after enthesis injury and improves enthesis regeneration. (A) Immuno- fluorescence staining of CD68 (green) and P2X7R (yellow) in native and injured enthesis. Red dashed squares represent enlarged images of the enthesis. (B) Feature plots of single-cell gene expression of P2rx7 in macrophages in wild-type mice. (C and D) The relative caspase-1 activity and concentration of IL-1β in the enthesis of Lyz2-P2rx7f/f and Lyz2-P2rx7−/− mice at 3, 7, 14, and 28 dpi. (E) Schematic of animal experiments, in which the RCTR model was established in Lyz2-P2rx7f/f and Lyz2-P2rx7−/− mice, and analyzed at 3, 7, 14, and 28 dpi. (F) H&E and toluidine blue staining of the enthesis in Lyz2-P2rx7f/f and Lyz2-P2rx7−/− mice at 14 and 28 dpi. Black dashed squares represent enlarged images of the enthesis. (G and H) Histological scores and the metachromasia area size of the enthesis in Lyz2-P2rx7f/f and Lyz2-P2rx7−/− mice at 14 and 28 dpi. (I) Micro-CT coronal views of the humerus of Lyz2-P2rx7f/f and Lyz2-P2rx7−/− mice at 14 and 28 dpi. Green dashed squares represent the area of interest. (J and K) Quantitative analysis of the BMD and BV/TV of the enthesis. (L) Deformation and load curves of the enthesis in Lyz2-P2rx7 f/f and Lyz2-P2rx7−/− mice at 14 and 28 dpi. (M to O) Failure load, stiffness, and work of the enthesis in mice with IL-1β neutralizing antibodies or control IgG injection at 14 and 28 dpi. Data are presented as means ± SD. Statistical significance was determined using one-way ANOVA with Tukey’s multiple comparisons test and Student’s t test.

    Article Snippet: For antibodies treatment experiments, 200 μg of IL- 1β neutralizing antibodies (BioXcell, New Hampshire, USA, BE0246) or control IgG (BioXcell, New Hampshire, USA, BE0091) was injected into the joint cavity near the injured enthesis at 3 and 7 dpi.

    Techniques: Activation Assay, Fluorescence, Staining, Gene Expression, Activity Assay, Concentration Assay, Micro-CT, Control, Injection

    Fig. 9. The schematic of this study. After enthesis injury, NLRP3 inflammasomes are activated in infiltrated macrophages upon receiving activation signals mediated by P2X7R. The activation of the P2X7R/NLRP3 inflammasome axis not only exacerbates inflammation by prompting the release of IL-1β and suppressing the production of anti-inflammatory factors including IL-10 and IL-13 but also inhibits the production of proregenerative docosatrienoic acid. NLRP3 inflammasomes suppress enthesis re- generation via aggravating IL-1β inflammatory cross-talk and restraining docosatrienoic acid metabolic cross-talk between macrophages and stem cells. Blocking the P2X7R/NLRP3 inflammasome axis rewires the cross-talk between macrophages and stem cells and converts pathological inflammation to reparative inflammation. This study illustrates that the P2X7R/NLRP3 inflammasome axis is a promising regenerative therapeutic target for enthesis injury treatment.

    Journal: Science advances

    Article Title: The P2X7R/NLRP3 inflammasome axis suppresses enthesis regeneration through inflammatory and metabolic macrophage-stem cell cross-talk.

    doi: 10.1126/sciadv.adr4894

    Figure Lengend Snippet: Fig. 9. The schematic of this study. After enthesis injury, NLRP3 inflammasomes are activated in infiltrated macrophages upon receiving activation signals mediated by P2X7R. The activation of the P2X7R/NLRP3 inflammasome axis not only exacerbates inflammation by prompting the release of IL-1β and suppressing the production of anti-inflammatory factors including IL-10 and IL-13 but also inhibits the production of proregenerative docosatrienoic acid. NLRP3 inflammasomes suppress enthesis re- generation via aggravating IL-1β inflammatory cross-talk and restraining docosatrienoic acid metabolic cross-talk between macrophages and stem cells. Blocking the P2X7R/NLRP3 inflammasome axis rewires the cross-talk between macrophages and stem cells and converts pathological inflammation to reparative inflammation. This study illustrates that the P2X7R/NLRP3 inflammasome axis is a promising regenerative therapeutic target for enthesis injury treatment.

    Article Snippet: For antibodies treatment experiments, 200 μg of IL- 1β neutralizing antibodies (BioXcell, New Hampshire, USA, BE0246) or control IgG (BioXcell, New Hampshire, USA, BE0091) was injected into the joint cavity near the injured enthesis at 3 and 7 dpi.

    Techniques: Activation Assay, Blocking Assay