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tslp cat e el h1598  (Elabscience Biotechnology)


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    Structured Review

    Elabscience Biotechnology tslp cat e el h1598
    Tslp Cat E El H1598, supplied by Elabscience Biotechnology, used in various techniques. Bioz Stars score: 94/100, based on 18 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/human+il-33+elisa+kit/Human+IL-33+(Interleukin+33)+ELISA+Kit/pm41560298-259-4-25
    Average 94 stars, based on 18 article reviews
    tslp cat e el h1598 - by Bioz Stars, 2026-10
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    Related Articles

    Enzyme-linked Immunosorbent Assay:

    Article Title: Salivary IL-33 and sST2 levels in relation to TLR2 rs111200466 polymorphism and periodontitis.
    Article Snippet: .. The samples were thawed and centrifuged for 10 min at 5°C with a spinning speed of 500 × g. IL33 and sST2 levels were measured with Human IL- 33 (E- EL- H2402) and Human sST2 (E- EL- H6082) enzyme- linked immunosorbent assay (ELISA) kits (Elabscience Biotechnology) according to the instructions of the manufacturer in duplicates. ..

    Article Title: Metabolomics reveals pro-inflammatory effects of 12R-HETE and ALOX12B in maternal allergic asthma
    Article Snippet: .. Antibody ALOX12B (Cat:PK08394S, 1:1000, Abmart, China), Antibody β-actin (Cat:3700S, 1:1000, CST, America), Rat Interleukin-5 (IL-5) ELISA Kits, Rat Immunoglobulin E (IgE) ELISA Kits, Human Interleukin-33, Human MUC5AC (Elabscience, China), pcDNA3.1-ALOX12B (GENEWIZ, China), shRNA-ALOX12B (Abmart, China), Lipofectamine 3000 (Thermofisher, USA). ..

    Article Title: OTUD6A in Airway Epithelial Cells Exacerbates Allergic Asthma by Promoting Airway Inflammation and Airway Remodeling Through Deubiquitination of hResistin/mRELMα.
    Article Snippet: Mouse IL-5 Enzyme Linked Immunosorbent Assay (ELISA) Kit (Cat# 88-7054-88), Mouse IL-13 ELISA Kit (Cat# 88-7137-88), and Mouse IgE ELISA Kit (Cat# 88-50460-88) were obtained from Thermo Fisher (CA, USA). .. Human IL-25 (Cat# E-EL-H1648)/IL33 (E-EL-H2402)/TSLP (Cat# E-EL-H1598)/Resistin (Cat# E-ELH1213) ELISA kits, and mouse IL-25 (Cat# E-EL-M0187)/IL33 (Cat# E-EL-M2642)/TSLP (Cat# E-EL-M0642) ELISA kits were purchased from Elabscience (Wuhan, China). .. Pan-species TGF- β1 ELISA kit (Cat# EH0012) was bought from HUABIO (Hangzhou, China).

    Article Title: The Molecular Relationship Between SDF4 and Thiol/Disulfide Homeostasis and Cardiac Injury Markers in Serum and Pericardial Fluid of Patients Undergoing Open-Heart Surgery
    Article Snippet: .. In this study, the levels of SDF4 in blood and pericardial fluid samples were measured using commercial enzyme-linked immunosorbent assay (ELISA) kits provided by Elabscience Biotechnology Co., Ltd. (Wuhan, Hubei, China; catalog number: E-EL-H2402). ..

    other:

    Article Title: Excess heme orchestrates progesterone resistance in uterine endometrial cancer through macrophage polarization and the IL-33/PAX8/PGR axis.
    Article Snippet: Progesterone is an important drug for hormone therapy in uterine endometrial cancer (UEC).. However, the therapeutic efficacy of progestogen is often limited by resistance, and the underlying mechanism remains unknown.. In this study, we observed heme metabolism is more active in progesterone-insensitive patients.

    shRNA:

    Article Title: Metabolomics reveals pro-inflammatory effects of 12R-HETE and ALOX12B in maternal allergic asthma
    Article Snippet: .. Antibody ALOX12B (Cat:PK08394S, 1:1000, Abmart, China), Antibody β-actin (Cat:3700S, 1:1000, CST, America), Rat Interleukin-5 (IL-5) ELISA Kits, Rat Immunoglobulin E (IgE) ELISA Kits, Human Interleukin-33, Human MUC5AC (Elabscience, China), pcDNA3.1-ALOX12B (GENEWIZ, China), shRNA-ALOX12B (Abmart, China), Lipofectamine 3000 (Thermofisher, USA). ..



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    a The experimental design. BMDMs treated by IL-33 (20 ng/mL) for 24 h before additional 24 h fresh medium incubation to prepare CMs. b Representative images and quantification of EdU+ VSMCs co-cultured with the indicated CMs. Scale bar, 100 μm. c Analysis of the putative ligand-receptor communications between arterial macrophages and VSMCs based on the scRNA-seq data of D0 and D7 using CellChat. d Volcano plot depicting the upregulated and downregulated genes in macrophages at D0 and D7. e Violin plots showing Spp1 gene expression of the 7 immune cell populations based on scRNA-seq data. f (Left) Representative flow cytometry gating for quantifying <t>OPN-expressing</t> macrophages and neutrophils at D7. (Right) OPN+ cell percentages and OPN signal intensities in macrophages and neutrophils at D7. n = 6 mice per group. g Representative images of immunofluorescence staining of MAC2 and OPN using the artery sections from mice at D7. Scale bars, 50 μm. h mRNA levels of Spp1 in the artery from mice at D0 ( n = 4), D2 ( n = 8), D4 ( n = 8), D7 ( n = 8) and D14 (n = 4). i Plasma OPN protein levels in patients with or without in-stent restenosis (ISR, n = 25; Non-ISR, n = 25). j mRNA levels of Spp1 of the artery from Control ( n = 7) and <t>Pb-</t> <t>Il33</t> KO ( n = 8) at D7. k mRNA levels of Spp1 in the artery from Control ( n = 10) and Mac- Il1rl1 KO ( n = 7) at D7. l mRNA levels of Spp1 in IL-33-treated (20 ng/mL) BMDMs for 24 h. m BMDMs electro-transfected with si Spp1 followed by IL-33 (20 ng/mL) treatment to prepare CMs. n mRNA levels of the cell proliferation-related genes in indicated CM-exposed VSMCs. o Representative H&E staining images and Intima/Media ratios and lumen diameter/aspect ratios in the artery sections at D28. Mice post-FAI were administrated with the hydrogel containing si Spp1 or si NC locally at the injured sites. n = 6 mice for each group. Scale bars, 50 μm. Data are all shown as the mean ± s.e.m. ** p < 0.01 or *** p < 0.001 by unpaired two-tailed Student’s t -test ( f , i , j , k , n , o ), one-way ( b , h ) or two-way ANOVA ( l ). Source data and statistic information are provided as Source data files. Figure 7a,c, m were created in BioRender. Shan, B. (2025) https://BioRender.com/x16x8wd .
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    A CellChat analysis of human lung snRNA-seq data. B Venn of 47 shared DEGs from four datasets ( GSE159354 , GSE132771 , GSE128033 , GSE122960 ). C Heatmap of 47-gene expression across cell types. D Correlation analysis (Pearson Correlation) of expression of IGFBP5, IL33, MGP, SPRY1, ACKR1 and mechanical stress scores in ECs. E Correlation analysis (Pearson Correlation) of expression of PIEZO1 and IGFBP5, IL33, MGP, SPRY1, ACKR1 in ECs. F Human snRNA-seq UMAP and violin of IL33 distribution and subpopulations. G Bar chart showed expression of IL33 (mean ± SEM) in IPF (n = 7966 cells) vs control (n = 4174 cells). P value was calculated using the two-tailed unpaired t-test. H Violin of IL33 in PIEZO1 - vs PIEZO1 + ECs. I Bulk-RNA-seq of saline and BLM (7 days and 14 days) induced mice (n = 3 per group). Gene expression levels were Z-score normalized. P value was calculated using the two-tailed unpaired t-test. J qPCR of Il33 in BLM mouse lung ECs. <t>K</t> <t>IL-33</t> (green) and CD31 (red) co-staining in human IPF vs normal, quantification is shown at right (n = 10). L IL-33 (green) and CD31 (red) co-staining in Yoda1- or GsMTx4-treated fibrotic mouse lungs, quantification is shown at right (n = 3). M IL-33 (green) and CD31 (red)co-staining in Piezo1 WT and Piezo1 ΔEC BLM lungs, quantification is shown at right (n = 3). Error bars represent mean ± SEM, H, K, J, M: two-tailed unpaired t-test; L: one-way ANOVA followed Tukey’s multiple comparwasons test, All n values indicate biologically independent samples. Source data are provided as a Source Data file.
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    Effect of obesity and sex on the circulating levels of interleukin <t>(IL)-33</t> and soluble suppression of tumorigenicity 2 (sST2). Fasting serum concentrations of ( A ) IL-33, ( C ) sST2 and ( E ) IL-33/sST2 in normal-weight (NW-NG) volunteers ( n = 22), patients with obesity with normoglycemia (OB-NG) ( n = 24) and with obesity-associated type 2 diabetes (OB-T2D) ( n = 27). Circulating concentrations of ( B ) IL-33, ( D ) sST2 and ( F ) IL-33/sST2 in males ( n = 26) and females ( n = 47) volunteers. Data are mean ± SEM. Differences between groups were analyzed by one-way ANOVA followed by Tukey’s tests or by unpaired two-tailed Student’s t test as appropriate. * P < 0.05, ** P < 0.01 and *** P < 0.001
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    Effect of obesity and sex on the circulating levels of interleukin <t>(IL)-33</t> and soluble suppression of tumorigenicity 2 (sST2). Fasting serum concentrations of ( A ) IL-33, ( C ) sST2 and ( E ) IL-33/sST2 in normal-weight (NW-NG) volunteers ( n = 22), patients with obesity with normoglycemia (OB-NG) ( n = 24) and with obesity-associated type 2 diabetes (OB-T2D) ( n = 27). Circulating concentrations of ( B ) IL-33, ( D ) sST2 and ( F ) IL-33/sST2 in males ( n = 26) and females ( n = 47) volunteers. Data are mean ± SEM. Differences between groups were analyzed by one-way ANOVA followed by Tukey’s tests or by unpaired two-tailed Student’s t test as appropriate. * P < 0.05, ** P < 0.01 and *** P < 0.001
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    Effect of obesity and sex on the circulating levels of interleukin <t>(IL)-33</t> and soluble suppression of tumorigenicity 2 (sST2). Fasting serum concentrations of ( A ) IL-33, ( C ) sST2 and ( E ) IL-33/sST2 in normal-weight (NW-NG) volunteers ( n = 22), patients with obesity with normoglycemia (OB-NG) ( n = 24) and with obesity-associated type 2 diabetes (OB-T2D) ( n = 27). Circulating concentrations of ( B ) IL-33, ( D ) sST2 and ( F ) IL-33/sST2 in males ( n = 26) and females ( n = 47) volunteers. Data are mean ± SEM. Differences between groups were analyzed by one-way ANOVA followed by Tukey’s tests or by unpaired two-tailed Student’s t test as appropriate. * P < 0.05, ** P < 0.01 and *** P < 0.001
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    Effect of obesity and sex on the circulating levels of interleukin <t>(IL)-33</t> and soluble suppression of tumorigenicity 2 (sST2). Fasting serum concentrations of ( A ) IL-33, ( C ) sST2 and ( E ) IL-33/sST2 in normal-weight (NW-NG) volunteers ( n = 22), patients with obesity with normoglycemia (OB-NG) ( n = 24) and with obesity-associated type 2 diabetes (OB-T2D) ( n = 27). Circulating concentrations of ( B ) IL-33, ( D ) sST2 and ( F ) IL-33/sST2 in males ( n = 26) and females ( n = 47) volunteers. Data are mean ± SEM. Differences between groups were analyzed by one-way ANOVA followed by Tukey’s tests or by unpaired two-tailed Student’s t test as appropriate. * P < 0.05, ** P < 0.01 and *** P < 0.001
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    Effect of obesity and sex on the circulating levels of interleukin <t>(IL)-33</t> and soluble suppression of tumorigenicity 2 (sST2). Fasting serum concentrations of ( A ) IL-33, ( C ) sST2 and ( E ) IL-33/sST2 in normal-weight (NW-NG) volunteers ( n = 22), patients with obesity with normoglycemia (OB-NG) ( n = 24) and with obesity-associated type 2 diabetes (OB-T2D) ( n = 27). Circulating concentrations of ( B ) IL-33, ( D ) sST2 and ( F ) IL-33/sST2 in males ( n = 26) and females ( n = 47) volunteers. Data are mean ± SEM. Differences between groups were analyzed by one-way ANOVA followed by Tukey’s tests or by unpaired two-tailed Student’s t test as appropriate. * P < 0.05, ** P < 0.01 and *** P < 0.001
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    Image Search Results


    a The experimental design. BMDMs treated by IL-33 (20 ng/mL) for 24 h before additional 24 h fresh medium incubation to prepare CMs. b Representative images and quantification of EdU+ VSMCs co-cultured with the indicated CMs. Scale bar, 100 μm. c Analysis of the putative ligand-receptor communications between arterial macrophages and VSMCs based on the scRNA-seq data of D0 and D7 using CellChat. d Volcano plot depicting the upregulated and downregulated genes in macrophages at D0 and D7. e Violin plots showing Spp1 gene expression of the 7 immune cell populations based on scRNA-seq data. f (Left) Representative flow cytometry gating for quantifying OPN-expressing macrophages and neutrophils at D7. (Right) OPN+ cell percentages and OPN signal intensities in macrophages and neutrophils at D7. n = 6 mice per group. g Representative images of immunofluorescence staining of MAC2 and OPN using the artery sections from mice at D7. Scale bars, 50 μm. h mRNA levels of Spp1 in the artery from mice at D0 ( n = 4), D2 ( n = 8), D4 ( n = 8), D7 ( n = 8) and D14 (n = 4). i Plasma OPN protein levels in patients with or without in-stent restenosis (ISR, n = 25; Non-ISR, n = 25). j mRNA levels of Spp1 of the artery from Control ( n = 7) and Pb- Il33 KO ( n = 8) at D7. k mRNA levels of Spp1 in the artery from Control ( n = 10) and Mac- Il1rl1 KO ( n = 7) at D7. l mRNA levels of Spp1 in IL-33-treated (20 ng/mL) BMDMs for 24 h. m BMDMs electro-transfected with si Spp1 followed by IL-33 (20 ng/mL) treatment to prepare CMs. n mRNA levels of the cell proliferation-related genes in indicated CM-exposed VSMCs. o Representative H&E staining images and Intima/Media ratios and lumen diameter/aspect ratios in the artery sections at D28. Mice post-FAI were administrated with the hydrogel containing si Spp1 or si NC locally at the injured sites. n = 6 mice for each group. Scale bars, 50 μm. Data are all shown as the mean ± s.e.m. ** p < 0.01 or *** p < 0.001 by unpaired two-tailed Student’s t -test ( f , i , j , k , n , o ), one-way ( b , h ) or two-way ANOVA ( l ). Source data and statistic information are provided as Source data files. Figure 7a,c, m were created in BioRender. Shan, B. (2025) https://BioRender.com/x16x8wd .

    Journal: Nature Communications

    Article Title: Perivascular mesenchymal cells instruct ST2+ reparative macrophages to promote endovascular injury-induced neointimal hyperplasia in mice

    doi: 10.1038/s41467-026-68587-x

    Figure Lengend Snippet: a The experimental design. BMDMs treated by IL-33 (20 ng/mL) for 24 h before additional 24 h fresh medium incubation to prepare CMs. b Representative images and quantification of EdU+ VSMCs co-cultured with the indicated CMs. Scale bar, 100 μm. c Analysis of the putative ligand-receptor communications between arterial macrophages and VSMCs based on the scRNA-seq data of D0 and D7 using CellChat. d Volcano plot depicting the upregulated and downregulated genes in macrophages at D0 and D7. e Violin plots showing Spp1 gene expression of the 7 immune cell populations based on scRNA-seq data. f (Left) Representative flow cytometry gating for quantifying OPN-expressing macrophages and neutrophils at D7. (Right) OPN+ cell percentages and OPN signal intensities in macrophages and neutrophils at D7. n = 6 mice per group. g Representative images of immunofluorescence staining of MAC2 and OPN using the artery sections from mice at D7. Scale bars, 50 μm. h mRNA levels of Spp1 in the artery from mice at D0 ( n = 4), D2 ( n = 8), D4 ( n = 8), D7 ( n = 8) and D14 (n = 4). i Plasma OPN protein levels in patients with or without in-stent restenosis (ISR, n = 25; Non-ISR, n = 25). j mRNA levels of Spp1 of the artery from Control ( n = 7) and Pb- Il33 KO ( n = 8) at D7. k mRNA levels of Spp1 in the artery from Control ( n = 10) and Mac- Il1rl1 KO ( n = 7) at D7. l mRNA levels of Spp1 in IL-33-treated (20 ng/mL) BMDMs for 24 h. m BMDMs electro-transfected with si Spp1 followed by IL-33 (20 ng/mL) treatment to prepare CMs. n mRNA levels of the cell proliferation-related genes in indicated CM-exposed VSMCs. o Representative H&E staining images and Intima/Media ratios and lumen diameter/aspect ratios in the artery sections at D28. Mice post-FAI were administrated with the hydrogel containing si Spp1 or si NC locally at the injured sites. n = 6 mice for each group. Scale bars, 50 μm. Data are all shown as the mean ± s.e.m. ** p < 0.01 or *** p < 0.001 by unpaired two-tailed Student’s t -test ( f , i , j , k , n , o ), one-way ( b , h ) or two-way ANOVA ( l ). Source data and statistic information are provided as Source data files. Figure 7a,c, m were created in BioRender. Shan, B. (2025) https://BioRender.com/x16x8wd .

    Article Snippet: Plasma IL-33 and OPN protein levels were determined by a commercially available human IL33 ELISA Kit (#EK133, Multi sciences) and human OPN ELISA Kit (#EK1135, Multi Sciences) according to the manufacturer’s instructions.

    Techniques: Incubation, Cell Culture, Gene Expression, Flow Cytometry, Expressing, Immunofluorescence, Staining, Clinical Proteomics, Control, Transfection, Two Tailed Test

    A CellChat analysis of human lung snRNA-seq data. B Venn of 47 shared DEGs from four datasets ( GSE159354 , GSE132771 , GSE128033 , GSE122960 ). C Heatmap of 47-gene expression across cell types. D Correlation analysis (Pearson Correlation) of expression of IGFBP5, IL33, MGP, SPRY1, ACKR1 and mechanical stress scores in ECs. E Correlation analysis (Pearson Correlation) of expression of PIEZO1 and IGFBP5, IL33, MGP, SPRY1, ACKR1 in ECs. F Human snRNA-seq UMAP and violin of IL33 distribution and subpopulations. G Bar chart showed expression of IL33 (mean ± SEM) in IPF (n = 7966 cells) vs control (n = 4174 cells). P value was calculated using the two-tailed unpaired t-test. H Violin of IL33 in PIEZO1 - vs PIEZO1 + ECs. I Bulk-RNA-seq of saline and BLM (7 days and 14 days) induced mice (n = 3 per group). Gene expression levels were Z-score normalized. P value was calculated using the two-tailed unpaired t-test. J qPCR of Il33 in BLM mouse lung ECs. K IL-33 (green) and CD31 (red) co-staining in human IPF vs normal, quantification is shown at right (n = 10). L IL-33 (green) and CD31 (red) co-staining in Yoda1- or GsMTx4-treated fibrotic mouse lungs, quantification is shown at right (n = 3). M IL-33 (green) and CD31 (red)co-staining in Piezo1 WT and Piezo1 ΔEC BLM lungs, quantification is shown at right (n = 3). Error bars represent mean ± SEM, H, K, J, M: two-tailed unpaired t-test; L: one-way ANOVA followed Tukey’s multiple comparwasons test, All n values indicate biologically independent samples. Source data are provided as a Source Data file.

    Journal: Nature Communications

    Article Title: Single-cell multiomics uncovers an endothelial mechanosensitive PIEZO1-IL-33 axis driving pulmonary fibrosis

    doi: 10.1038/s41467-026-70193-w

    Figure Lengend Snippet: A CellChat analysis of human lung snRNA-seq data. B Venn of 47 shared DEGs from four datasets ( GSE159354 , GSE132771 , GSE128033 , GSE122960 ). C Heatmap of 47-gene expression across cell types. D Correlation analysis (Pearson Correlation) of expression of IGFBP5, IL33, MGP, SPRY1, ACKR1 and mechanical stress scores in ECs. E Correlation analysis (Pearson Correlation) of expression of PIEZO1 and IGFBP5, IL33, MGP, SPRY1, ACKR1 in ECs. F Human snRNA-seq UMAP and violin of IL33 distribution and subpopulations. G Bar chart showed expression of IL33 (mean ± SEM) in IPF (n = 7966 cells) vs control (n = 4174 cells). P value was calculated using the two-tailed unpaired t-test. H Violin of IL33 in PIEZO1 - vs PIEZO1 + ECs. I Bulk-RNA-seq of saline and BLM (7 days and 14 days) induced mice (n = 3 per group). Gene expression levels were Z-score normalized. P value was calculated using the two-tailed unpaired t-test. J qPCR of Il33 in BLM mouse lung ECs. K IL-33 (green) and CD31 (red) co-staining in human IPF vs normal, quantification is shown at right (n = 10). L IL-33 (green) and CD31 (red) co-staining in Yoda1- or GsMTx4-treated fibrotic mouse lungs, quantification is shown at right (n = 3). M IL-33 (green) and CD31 (red)co-staining in Piezo1 WT and Piezo1 ΔEC BLM lungs, quantification is shown at right (n = 3). Error bars represent mean ± SEM, H, K, J, M: two-tailed unpaired t-test; L: one-way ANOVA followed Tukey’s multiple comparwasons test, All n values indicate biologically independent samples. Source data are provided as a Source Data file.

    Article Snippet: The amounts of IL-33 in HUVECs supernatant were quantified using the Human IL-33 DuoSet ELISA kit (R&D Systems, #D3300B) according to the manufacturer’s instructions.

    Techniques: Gene Expression, Expressing, Control, Two Tailed Test, RNA Sequencing, Saline, Staining

    A Schematic of BLM-induced fibrosis in Il33 WT vs Il33 ΔEC mice. B Il33 mRNA (n = 4) and IL-33 protein in lung ECs (n = 3). C Representative Masson/PSR images and quantification (n = 5). D αSMA immunofluorescence and quantification (n = 4). E Lung hydroxyproline content (n = 5). F Schematic: EC-specific Il33 overexpression via AAV-Tie1 in Piezo1 WT and Piezo1 ΔEC mice; 4-week pretreatment, BLM at week 4, sacrifice at week 7. G IL-33 expression in ECs, immune and epithelial cells after AAV-OE- Il33 (n = 3). H Masson/PSR images and quantification (n = 5). I αSMA immunofluorescence and quantification (n = 4). J Hydroxyproline content (n = 5). Error bars: mean ± SEM; B,G: two-tailed unpaired t-test; C,D-E,I: two-way ANOVA followed Tukey’s multiple comparisons test; H,J: three-way ANOVA followed Tukey’s multiple comparisons test. All n values indicate biologically independent samples. Source data are provided as a Source Data file.

    Journal: Nature Communications

    Article Title: Single-cell multiomics uncovers an endothelial mechanosensitive PIEZO1-IL-33 axis driving pulmonary fibrosis

    doi: 10.1038/s41467-026-70193-w

    Figure Lengend Snippet: A Schematic of BLM-induced fibrosis in Il33 WT vs Il33 ΔEC mice. B Il33 mRNA (n = 4) and IL-33 protein in lung ECs (n = 3). C Representative Masson/PSR images and quantification (n = 5). D αSMA immunofluorescence and quantification (n = 4). E Lung hydroxyproline content (n = 5). F Schematic: EC-specific Il33 overexpression via AAV-Tie1 in Piezo1 WT and Piezo1 ΔEC mice; 4-week pretreatment, BLM at week 4, sacrifice at week 7. G IL-33 expression in ECs, immune and epithelial cells after AAV-OE- Il33 (n = 3). H Masson/PSR images and quantification (n = 5). I αSMA immunofluorescence and quantification (n = 4). J Hydroxyproline content (n = 5). Error bars: mean ± SEM; B,G: two-tailed unpaired t-test; C,D-E,I: two-way ANOVA followed Tukey’s multiple comparisons test; H,J: three-way ANOVA followed Tukey’s multiple comparisons test. All n values indicate biologically independent samples. Source data are provided as a Source Data file.

    Article Snippet: The amounts of IL-33 in HUVECs supernatant were quantified using the Human IL-33 DuoSet ELISA kit (R&D Systems, #D3300B) according to the manufacturer’s instructions.

    Techniques: Immunofluorescence, Over Expression, Expressing, Two Tailed Test

    HUVECs under 20% stretch for 0,6,24 h or 2,12,25 kPa substrates; IL-33 secretion ( n = 3) A and mRNA (n = 3) B . C PIEZO1 knock-down with sh PIEZO1 ( n = 3). HUVECs were transduced with sh PIEZO1 for 48 h, cultured on 25 kPa substrates for 24 h or subjected to 6 h mechanical stretch before measuring IL-33 secretion ( n = 3) D and mRNA ( n = 3) E . HUVECs were cultured on 2, 12, 25 kPa substrates for 24 h or stretched (20%) for 0, 6, 24 h, followed by measurement of calpain activity F and CAPN2 protein G ( n = 3). HUVECs (sh PIEZO1 ) were cultured on 25 kPa substrates for 24 h or subjected to 6 h mechanical stretch, followed by measurement of calpain activity ( n = 3) H and CAPN2 protein levels ( n = 3) I . J CAPN2 knock-down with shCAPN2 ( n = 3). K HUVECs (sh CAPN2 ) were cultured on 25 kPa substrates for 24 h or subjected to 6 h mechanical stretch, IL-33 secretion(left) and mRNA(right) ( n = 3). L Model for paracrine IL-33 regulation. M Cistrome: STAT3 predicted to drive IL-33 regulation. N intersection of top 100 motifs in BLM-treated mouse ECs with top 10 TFs. O The protein levels of P-STAT3 and STAT3 in HUVECs treated with 20% stretch for 0 and 6 hours ( n = 3). P The protein levels of P-STAT3 and STAT3 in HUVECs (sh PIEZO1 or sh CAPN2 ) treated with 20% stretch for 6 h ( n = 3). Q STAT3 knock-down with sh STAT3 ( n = 3). R HUVECs (sh STAT3 ) were cultured on 25 kPa substrates for 24 h or subjected to 6 h mechanical stretch; IL-33 secretion(left) and mRNA(right) ( n = 3). Error bars: mean ± SEM; C , G , J , O – Q : two-tailed unpaired t-test; A , B , F : one-way ANOVA followed Šídák’s multiple comparisons test, D – E , H – I , K , R : two-way ANOVA Tukey’s multiple comparisons test. All n denote biologically independent samples. Source data are provided as a Source Data file.

    Journal: Nature Communications

    Article Title: Single-cell multiomics uncovers an endothelial mechanosensitive PIEZO1-IL-33 axis driving pulmonary fibrosis

    doi: 10.1038/s41467-026-70193-w

    Figure Lengend Snippet: HUVECs under 20% stretch for 0,6,24 h or 2,12,25 kPa substrates; IL-33 secretion ( n = 3) A and mRNA (n = 3) B . C PIEZO1 knock-down with sh PIEZO1 ( n = 3). HUVECs were transduced with sh PIEZO1 for 48 h, cultured on 25 kPa substrates for 24 h or subjected to 6 h mechanical stretch before measuring IL-33 secretion ( n = 3) D and mRNA ( n = 3) E . HUVECs were cultured on 2, 12, 25 kPa substrates for 24 h or stretched (20%) for 0, 6, 24 h, followed by measurement of calpain activity F and CAPN2 protein G ( n = 3). HUVECs (sh PIEZO1 ) were cultured on 25 kPa substrates for 24 h or subjected to 6 h mechanical stretch, followed by measurement of calpain activity ( n = 3) H and CAPN2 protein levels ( n = 3) I . J CAPN2 knock-down with shCAPN2 ( n = 3). K HUVECs (sh CAPN2 ) were cultured on 25 kPa substrates for 24 h or subjected to 6 h mechanical stretch, IL-33 secretion(left) and mRNA(right) ( n = 3). L Model for paracrine IL-33 regulation. M Cistrome: STAT3 predicted to drive IL-33 regulation. N intersection of top 100 motifs in BLM-treated mouse ECs with top 10 TFs. O The protein levels of P-STAT3 and STAT3 in HUVECs treated with 20% stretch for 0 and 6 hours ( n = 3). P The protein levels of P-STAT3 and STAT3 in HUVECs (sh PIEZO1 or sh CAPN2 ) treated with 20% stretch for 6 h ( n = 3). Q STAT3 knock-down with sh STAT3 ( n = 3). R HUVECs (sh STAT3 ) were cultured on 25 kPa substrates for 24 h or subjected to 6 h mechanical stretch; IL-33 secretion(left) and mRNA(right) ( n = 3). Error bars: mean ± SEM; C , G , J , O – Q : two-tailed unpaired t-test; A , B , F : one-way ANOVA followed Šídák’s multiple comparisons test, D – E , H – I , K , R : two-way ANOVA Tukey’s multiple comparisons test. All n denote biologically independent samples. Source data are provided as a Source Data file.

    Article Snippet: The amounts of IL-33 in HUVECs supernatant were quantified using the Human IL-33 DuoSet ELISA kit (R&D Systems, #D3300B) according to the manufacturer’s instructions.

    Techniques: Knockdown, Transduction, Cell Culture, Activity Assay, Two Tailed Test

    Effect of obesity and sex on the circulating levels of interleukin (IL)-33 and soluble suppression of tumorigenicity 2 (sST2). Fasting serum concentrations of ( A ) IL-33, ( C ) sST2 and ( E ) IL-33/sST2 in normal-weight (NW-NG) volunteers ( n = 22), patients with obesity with normoglycemia (OB-NG) ( n = 24) and with obesity-associated type 2 diabetes (OB-T2D) ( n = 27). Circulating concentrations of ( B ) IL-33, ( D ) sST2 and ( F ) IL-33/sST2 in males ( n = 26) and females ( n = 47) volunteers. Data are mean ± SEM. Differences between groups were analyzed by one-way ANOVA followed by Tukey’s tests or by unpaired two-tailed Student’s t test as appropriate. * P < 0.05, ** P < 0.01 and *** P < 0.001

    Journal: Molecular Medicine

    Article Title: Dual and context-dependent role of the interleukin-33/soluble suppression of tumorigenicity 2 axis in obesity and adipose tissue inflammation

    doi: 10.1186/s10020-026-01454-z

    Figure Lengend Snippet: Effect of obesity and sex on the circulating levels of interleukin (IL)-33 and soluble suppression of tumorigenicity 2 (sST2). Fasting serum concentrations of ( A ) IL-33, ( C ) sST2 and ( E ) IL-33/sST2 in normal-weight (NW-NG) volunteers ( n = 22), patients with obesity with normoglycemia (OB-NG) ( n = 24) and with obesity-associated type 2 diabetes (OB-T2D) ( n = 27). Circulating concentrations of ( B ) IL-33, ( D ) sST2 and ( F ) IL-33/sST2 in males ( n = 26) and females ( n = 47) volunteers. Data are mean ± SEM. Differences between groups were analyzed by one-way ANOVA followed by Tukey’s tests or by unpaired two-tailed Student’s t test as appropriate. * P < 0.05, ** P < 0.01 and *** P < 0.001

    Article Snippet: Circulating concentrations of IL-33 (D3300B) and sST2 (DST200) were quantified using commercial ELISA kits (R&D Systems, Minneapolis, MN) according to manufacturer’s instructions.

    Techniques: Two Tailed Test

    Gene and protein expression levels of IL-33 in visceral adipose tissue (VAT). A Bar graphs show the gene expression levels of IL33 in VAT samples from volunteers with normal weight (NW-NG, n = 8) and people with obesity and normoglycemia (OB-NG, n = 13) and with obesity-associated type 2 diabetes (OB-T2D, n = 16). B Protein expression levels of IL-33 in VAT from volunteers with normal weight (NW-NG, n = 4) and people with obesity and normoglycemia (OB-NG, n = 13) and with obesity-associated type 2 diabetes (OB-T2D, n = 10). C Scatter plots show the correlations between mRNA expression and protein levels of IL-33 as well as their associations with body fat percentage (BF). Correlation coefficients (r) and corresponding P values were calculated using Pearson’s correlation test. D Representative immunostaining for IL-33 in VAT samples from people with OB-NG and with OB-T2D (magnification 200x). E Comparison of gene expression levels of IL33 with IL1A , IL1B , IL4 , IL6 , IL8 , IL10 , IL13 , IL18 and IL32 in VAT obtained from people with obesity. Values are the mean ± SEM. Differences between groups were analyzed by one-way ANOVA followed by Tukey’s tests or by unpaired two-tailed Student’s t test as appropriate. * P < 0.05, and ** P < 0.01

    Journal: Molecular Medicine

    Article Title: Dual and context-dependent role of the interleukin-33/soluble suppression of tumorigenicity 2 axis in obesity and adipose tissue inflammation

    doi: 10.1186/s10020-026-01454-z

    Figure Lengend Snippet: Gene and protein expression levels of IL-33 in visceral adipose tissue (VAT). A Bar graphs show the gene expression levels of IL33 in VAT samples from volunteers with normal weight (NW-NG, n = 8) and people with obesity and normoglycemia (OB-NG, n = 13) and with obesity-associated type 2 diabetes (OB-T2D, n = 16). B Protein expression levels of IL-33 in VAT from volunteers with normal weight (NW-NG, n = 4) and people with obesity and normoglycemia (OB-NG, n = 13) and with obesity-associated type 2 diabetes (OB-T2D, n = 10). C Scatter plots show the correlations between mRNA expression and protein levels of IL-33 as well as their associations with body fat percentage (BF). Correlation coefficients (r) and corresponding P values were calculated using Pearson’s correlation test. D Representative immunostaining for IL-33 in VAT samples from people with OB-NG and with OB-T2D (magnification 200x). E Comparison of gene expression levels of IL33 with IL1A , IL1B , IL4 , IL6 , IL8 , IL10 , IL13 , IL18 and IL32 in VAT obtained from people with obesity. Values are the mean ± SEM. Differences between groups were analyzed by one-way ANOVA followed by Tukey’s tests or by unpaired two-tailed Student’s t test as appropriate. * P < 0.05, and ** P < 0.01

    Article Snippet: Circulating concentrations of IL-33 (D3300B) and sST2 (DST200) were quantified using commercial ELISA kits (R&D Systems, Minneapolis, MN) according to manufacturer’s instructions.

    Techniques: Expressing, Gene Expression, Immunostaining, Comparison, Two Tailed Test

    Gene expression levels of inflammation-related factors in human visceral adipocytes treated with different concentrations of ( A ) IL-33 and ( B ) LPS for 3 h followed by IL-33 for another 24 h. Values are the mean ± SEM ( n = 6 per group). Differences between groups were analyzed by one-way ANOVA followed by Tukey’s tests. ** P < 0.01. ADIPOQ, adiponectin; IL , interleukin; ITLN1 , omentin; LPS , lipopolysaccharide; TNF , tumor necrosis factor α

    Journal: Molecular Medicine

    Article Title: Dual and context-dependent role of the interleukin-33/soluble suppression of tumorigenicity 2 axis in obesity and adipose tissue inflammation

    doi: 10.1186/s10020-026-01454-z

    Figure Lengend Snippet: Gene expression levels of inflammation-related factors in human visceral adipocytes treated with different concentrations of ( A ) IL-33 and ( B ) LPS for 3 h followed by IL-33 for another 24 h. Values are the mean ± SEM ( n = 6 per group). Differences between groups were analyzed by one-way ANOVA followed by Tukey’s tests. ** P < 0.01. ADIPOQ, adiponectin; IL , interleukin; ITLN1 , omentin; LPS , lipopolysaccharide; TNF , tumor necrosis factor α

    Article Snippet: Circulating concentrations of IL-33 (D3300B) and sST2 (DST200) were quantified using commercial ELISA kits (R&D Systems, Minneapolis, MN) according to manufacturer’s instructions.

    Techniques: Gene Expression

    A Effects of adipocyte-conditioned media (ACM) in monocytes-derived macrophages. Bar graphs show the effect of ACM (20 and 40%) from subjects with obesity incubated for 24 h on the transcript levels of IL33 . Impact of IL-33 on the expression levels of inflammation-related factors in monocytes-derived macrophages primed with ( B ) ACM and ( C ) LPS. Values are the mean ± SEM ( n = 6 per group). Differences between groups were analyzed by one-way ANOVA followed by Tukey’s tests. * P < 0.05 and ** P < 0.01. CCL2 , monocyte chemoattractant protein-1; IL , interleukin; LPS , lipopolysaccharide; TNF , tumor necrosis factor-α

    Journal: Molecular Medicine

    Article Title: Dual and context-dependent role of the interleukin-33/soluble suppression of tumorigenicity 2 axis in obesity and adipose tissue inflammation

    doi: 10.1186/s10020-026-01454-z

    Figure Lengend Snippet: A Effects of adipocyte-conditioned media (ACM) in monocytes-derived macrophages. Bar graphs show the effect of ACM (20 and 40%) from subjects with obesity incubated for 24 h on the transcript levels of IL33 . Impact of IL-33 on the expression levels of inflammation-related factors in monocytes-derived macrophages primed with ( B ) ACM and ( C ) LPS. Values are the mean ± SEM ( n = 6 per group). Differences between groups were analyzed by one-way ANOVA followed by Tukey’s tests. * P < 0.05 and ** P < 0.01. CCL2 , monocyte chemoattractant protein-1; IL , interleukin; LPS , lipopolysaccharide; TNF , tumor necrosis factor-α

    Article Snippet: Circulating concentrations of IL-33 (D3300B) and sST2 (DST200) were quantified using commercial ELISA kits (R&D Systems, Minneapolis, MN) according to manufacturer’s instructions.

    Techniques: Derivative Assay, Incubation, Expressing

    The increased circulating levels of IL-33 in obesity together the decrease in its soluble decoy receptor sST2 may be potentially enhancing IL-33 bioactivity. In addition, gene and protein expression levels of IL-33 in visceral adipose tissue (VAT) are upregulated in obesity in both adipocytes and stromal vascular fraction cells. IL-33 modulates adipocyte function by upregulating both anti-inflammatory mediators ( ADIPOQ , ITLN1 and IL13 ) and pro-inflammatory cytokines ( TNF , IL8 ). Under inflammatory conditions, such as LPS stimulation, IL-33 attenuates excessive pro-inflammatory responses and promotes protective adipokine expression in visceral adipocytes. In THP-1-derived macrophages, adipocyte-derived factors suppress IL33 expression, whereas IL-33 attenuates macrophage pro-inflammatory activation and enhances IL4 expression only in the context of adipocyte-conditioned medium. Together, these findings suggest the dual and context-dependent nature of IL-33 in obesity, acting as a compensatory mediator to maintain tissue homeostasis while potentially contributing to chronic low-grade inflammation when elevated chronically. ADIPOQ, adiponectin; IL , interleukin; ITLN1 , omentin; TNF , tumor necrosis factor α

    Journal: Molecular Medicine

    Article Title: Dual and context-dependent role of the interleukin-33/soluble suppression of tumorigenicity 2 axis in obesity and adipose tissue inflammation

    doi: 10.1186/s10020-026-01454-z

    Figure Lengend Snippet: The increased circulating levels of IL-33 in obesity together the decrease in its soluble decoy receptor sST2 may be potentially enhancing IL-33 bioactivity. In addition, gene and protein expression levels of IL-33 in visceral adipose tissue (VAT) are upregulated in obesity in both adipocytes and stromal vascular fraction cells. IL-33 modulates adipocyte function by upregulating both anti-inflammatory mediators ( ADIPOQ , ITLN1 and IL13 ) and pro-inflammatory cytokines ( TNF , IL8 ). Under inflammatory conditions, such as LPS stimulation, IL-33 attenuates excessive pro-inflammatory responses and promotes protective adipokine expression in visceral adipocytes. In THP-1-derived macrophages, adipocyte-derived factors suppress IL33 expression, whereas IL-33 attenuates macrophage pro-inflammatory activation and enhances IL4 expression only in the context of adipocyte-conditioned medium. Together, these findings suggest the dual and context-dependent nature of IL-33 in obesity, acting as a compensatory mediator to maintain tissue homeostasis while potentially contributing to chronic low-grade inflammation when elevated chronically. ADIPOQ, adiponectin; IL , interleukin; ITLN1 , omentin; TNF , tumor necrosis factor α

    Article Snippet: Circulating concentrations of IL-33 (D3300B) and sST2 (DST200) were quantified using commercial ELISA kits (R&D Systems, Minneapolis, MN) according to manufacturer’s instructions.

    Techniques: Expressing, Derivative Assay, Activation Assay