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Journal: Advanced Science
Article Title: AI‐Designed TREM1‐Targeted LYTAC Nanoparticles Reprogram the Neuroimmune Microenvironment in Traumatic Brain Injury
doi: 10.1002/advs.77972
Figure Lengend Snippet: Systemic TREM1 ablation attenuates neuroinflammation and neurological deficits after TBI. (a) Schematic timeline of the experimental design. WT and Trem1 −/− mice were subjected to CCI or sham surgery, followed by longitudinal behavioral and histological assessments. (b, c) Analysis of the neuroinflammatory profile in the perilesional cortex at 3 days post‐TBI. (b) Representative images of inflammatory cytokines in TBI lesions detected by the Proteome Profiler Array Mouse Cytokine Array Panel A in WT and Trem1 −/− mice at 3 days post‐TBI. (c) Quantification of inflammatory cytokines in TBI lesions of WT and Trem1 −/− mice at 3 days post‐TBI or sham treatment by ELISA ( n = 5 mice per group, two‐way ANOVA followed by Tukey's multiple‐comparison test). (d) Representative immunofluorescence images of macrophages (IBA1 + , green) and the reactivation marker CD86 (red) in the TBI cortex. Trem1 ablation significantly reduced reactive polarization (scale bar, 50 µm). (e) Evaluation of neuronal apoptosis. Representative co‐staining of TUNEL (green) and NeuN (red) (left) ( n = 3 mice per group, scale bar, 100 µm). Yellow arrows indicate apoptotic neurons. (f) Assessment of white matter integrity. Representative images of Myelin Basic Protein (MBP, green) and NeuN (red) (left) and quantification of MBP fluorescence intensity (right) (scale bar, 100 µm). (g) Representative immunofluorescence images of hippocampal neurons (NeuN, red) showing preserved cellular density in Trem1 −/− mice ( n = 3 mice per group; scale bar, 100 µm). (h) Brain water content analysis at 1day and 3 d post‐TBI, indicating alleviated cerebral edema in Trem1 −/− mice ( n = 6 mice per group; two‐way ANOVA followed by Tukey's multiple‐comparison test). (i, j) Assessment of blood‐brain barrier (BBB) permeability. (i) Representative images of Evans Blue extravasation. (j) Quantification of dye leakage ( n = 6 mice per group; two‐way ANOVA followed by Tukey's multiple‐comparison test). (k, l) Molecular validation of tissue preservation. (k) Representative Western blots of the neuronal marker beta3‐tubulin, synaptic marker Synaptophysin (Syn), and tight junction protein Occludin. l, Densitometric quantification normalized to GAPDH ( n = 3 independent experimental replicates; two‐way ANOVA followed by Tukey's multiple‐comparison test). (m–o) Assessment of sensorimotor function. m, Latency to fall in the accelerating Rotarod test ( n = 8 mice per group; two‐way ANOVA followed by Tukey's multiple‐comparison test). (n) Performance in the fixed‐speed (30 rpm) Rotarod test ( n = 8 mice per group, one‐way ANOVA followed by Tukey's multiple‐comparison test). o, Modified Neurological Severity Score (mNSS) trajectory ( n = 8 mice per group; two‐way ANOVA followed by Tukey's multiple‐comparison test). (p, q) Evaluation of anxiety‐like behavior and exploratory activity in the Open Field Test (OFT). (p) Representative locomotor tracking plots. (q) Quantification of the percentage of time spent in the center zone ( n = 8 per group; two‐way ANOVA followed by Tukey's multiple‐comparison test). Data are presented as mean ± SD. Each dot represents an individual mouse, except in l, where each dot represents an independent experimental replicate. Statistical tests are specified for each panel above. Exact p values are provided in the Source Data. * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001.
Article Snippet:
Techniques: Analysis, Enzyme-linked Immunosorbent Assay, Comparison, Immunofluorescence, Marker, Staining, TUNEL Assay, Fluorescence, Permeability, Biomarker Discovery, Tissue, Preserving, Western Blot, Modification, Activity Assay
Journal: Advanced Science
Article Title: AI‐Designed TREM1‐Targeted LYTAC Nanoparticles Reprogram the Neuroimmune Microenvironment in Traumatic Brain Injury
doi: 10.1002/advs.77972
Figure Lengend Snippet: Generative AI‐driven design and mechanistic validation of a TREM1‐targeting LYTAC degrader. (a) Schematic of the RFdiffusion‐guided pipeline for de novo TREM1‐binding peptide design. Peptide backbones were generated around the Ig‐like domain of TREM1 and subsequently screened by AlphaFold3, ZDOCK, HDOCK, and Rosetta‐based energetic analysis to identify high‐ranking candidates. (b) Predicted structural models of Pep15, Pep17, and Pep457 in complex with TREM1, showing the predicted binding interfaces. (c) Temperature‐related intensity change (TRIC) assays showing concentration‐dependent target engagement of Pep15, Pep17, and Pep457 with TREM1. Left, schematic illustration of the TRIC assay principle; right, dose‐response curves of the indicated peptides ( n = 3 independent experiments). (d) ELISA‐based binding analysis of Pep15, Pep17, and Pep457 to immobilized TREM1. Top, schematic of the ELISA workflow; bottom, quantitative binding curves ( n = 3 independent experiments). (e) Surface plasmon resonance (SPR) analysis of Pep457 binding to TREM1. Top, schematic of the SPR assay; bottom, representative sensorgrams obtained at the indicated Pep457 concentrations. (f) Structural model of the bifunctional TREM1‐LYTAC, in which Pep457 engages TREM1 and the mannose‐6‐phosphate (M6P) moiety recruits the cation‐independent mannose‐6‐phosphate receptor (CI‐M6PR). (g) Representative confocal images showing partial colocalization of TREM1‐LYTAC with lysosomes following cellular uptake. TREM1‐LYTAC, green; lysosomes, red; nuclei, blue. Arrows indicate representative colocalized puncta. Scale bars as indicated. (h) ELISA quantification of cellular TREM1 protein following treatment with vehicle, scrambled‐LYTAC, TREM1‐LYTAC, or TREM1‐LYTAC in the presence of bafilomycin A1 (BafA1) or MG132 ( n = 5 independent experiments). (i) Representative flow‐cytometric histograms showing cell‐surface TREM1 expression after the indicated treatments. (j) Trem1 mRNA expression measured by qPCR after the indicated treatments ( n = 3 independent experiments; one‐way ANOVA followed by Tukey's multiple‐comparison test). (k) Requirement of both functional modules for TREM1 reduction. Cellular TREM1 protein levels were quantified after treatment with Pep457 plus M6P, Pep457 alone, M6P alone, TREM1‐LYTAC in the presence of CI‐M6PR blockade, or conjugated TREM1‐LYTAC ( n = 5 independent experiments; one‐way ANOVA followed by Tukey's multiple‐comparison test). (l) Plasma pharmacokinetic profile of free TREM1‐LYTAC after intravenous administration. Fluorescence intensity was fitted to a monoexponential decay model, yielding an apparent half‐life of 1.13 h ( n = 3 mice). (m) Proposed mechanism of TREM1‐LYTAC‐mediated degradation. TREM1‐LYTAC bridges cell‐surface TREM1 to CI‐M6PR, thereby promoting receptor internalization and lysosomal degradation. Data are mean ± SD. Each dot represents an independent experimental replicate or an individual animal. Statistical tests are specified for each quantitative panel above. Exact p values are provided in the Source Data. * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001.
Article Snippet:
Techniques: Biomarker Discovery, Binding Assay, Generated, Analysis, Concentration Assay, Drug discovery, Enzyme-linked Immunosorbent Assay, SPR Assay, Confocal, Expressing, Comparison, Functional Assay, Clinical Proteomics, Fluorescence
Journal: Advanced Science
Article Title: AI‐Designed TREM1‐Targeted LYTAC Nanoparticles Reprogram the Neuroimmune Microenvironment in Traumatic Brain Injury
doi: 10.1002/advs.77972
Figure Lengend Snippet: Engineering and validation of a BBB‐targeted, pH‐responsive nanodevice for spatiotemporal delivery of TREM1‐LYTAC. (a) Schematic illustration of APTL‐NP fabrication. TREM1‐LYTAC was conjugated to a generation‐4 PAMAM dendrimer through a terephthalaldehyde‐derived acid‐labile linker, followed by surface functionalization with Angiopep‐2 and PS‐PEG‐NHS to enable LRP1‐directed BBB targeting and improve systemic stability. (b) Representative transmission electron microscopy images of PAMAM‐based precursor particles and APTL‐NP (Scale bars, 1 µm). (c) Dynamic light scattering profiles showing the apparent hydrodynamic size distributions of G4 PAMAM and APTL‐NP under the indicated measurement conditions. (d) Time‐dependent changes in hydrodynamic diameter and polydispersity index of APTL‐NP incubated in PBS at pH 7.4 and 37°C. (e) pH‐dependent zeta‐potential profile of APTL‐NP. (f) Nanoparticle tracking analysis showing pH‐dependent particle size and concentration distributions after incubation at pH 7.5, 7.0, or 6.5. (g) pH‐responsive release of TREM1‐binding‐competent TREM1‐LYTAC from APTL‐NP. Released free TREM1‐LYTAC was separated by ultrafiltration and quantified using a TREM1‐binding ELISA with free TREM1‐LYTAC standards ( n = 3 independent experiments). (h) Representative EdU staining images of BMECs, HT22 cells, and NHAs treated with vehicle or APTL‐NP. (i) Quantification of EdU‐positive cells in the indicated cell types( n = 6 independent experiments, two‐way ANOVA followed by Tukey's multiple‐comparison test). (j) Representative flow‐cytometric plots for apoptosis analysis in BMECs, HT22 cells, and NHAs after treatment with vehicle or APTL‐NP. (k) Quantification of apoptotic cells in the indicated cell types( n = 6 independent experiments, two‐way ANOVA followed by Tukey's multiple‐comparison test). (l) Cell viability after 24 h or 48 h exposure to the indicated concentrations of APTL‐NP ( n = 3 independent experiments, two‐way ANOVA followed by Tukey's multiple‐comparison test). (m) Plasma pharmacokinetic profile of APTL‐NP after intravenous administration. The fluorescence signal was fitted to a monoexponential decay model, yielding an apparent half‐life of 8.38 h ( n = 3 mice). (n) Representative photographs and quantification of hemolysis induced by the indicated concentrations of APTL‐NP ( n = 3 independent experiments, one‐way ANOVA followed by Tukey's multiple‐comparison test). (o, p) Plasma C3a and C5a concentrations at the indicated time points after administration of vehicle or APTL‐NP ( n = 6 mice per group, Two‐way ANOVA followed by Tukey's multiple‐comparison test). (q) Representative H&E‐stained sections of the spleen, heart, lung, liver, and kidney from vehicle‐ and APTL‐NP‐treated mice (Scale bar, 100 µm). Data are presented as mean ± SD where applicable. For in vitro assays, n denotes independent experimental replicates; for in vivo analyses, n denotes individual mice. Statistical tests are specified for each quantitative panel above. Exact p values are provided in the Source Data. ns, not significant; * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001.
Article Snippet:
Techniques: Biomarker Discovery, Derivative Assay, Stability, Transmission Assay, Electron Microscopy, Dynamic Light Scattering Assay, Incubation, Zeta Potential Analyzer, Analysis, Concentration Assay, Binding Assay, Enzyme-linked Immunosorbent Assay, Staining, Comparison, Clinical Proteomics, Fluorescence, In Vitro, In Vivo
Journal: Advanced Science
Article Title: AI‐Designed TREM1‐Targeted LYTAC Nanoparticles Reprogram the Neuroimmune Microenvironment in Traumatic Brain Injury
doi: 10.1002/advs.77972
Figure Lengend Snippet: Key resources table.
Article Snippet:
Techniques: Recombinant, Enzyme-linked Immunosorbent Assay, Software
Journal: Non-coding RNA Research
Article Title: CircSMAD4 shapes matrix-remodeling TAMs in lung adenocarcinoma
doi: 10.1016/j.ncrna.2026.03.003
Figure Lengend Snippet: circSMAD4 drives tumor-educated M2-like polarization of macrophages and promotes tumor-cell aggressiveness. (A) Workflow for generating TC-hMDMs and TC-BMDMs, circSMAD4 knockdown, and downstream functional assays. (B) RT–qPCR analysis of M1-associated markers (MHC-II [HLA-DRA in TC-hMDMs; H2-Ab1 in TC-BMDMs], NOS2, and CD86) and M2-associated markers (CD163, CD206, and ARG1) in TC-hMDMs and TC-BMDMs. (C) Representative flow-cytometry histograms for HLA-DR, iNOS, CD86, CD163, CD206, and ARG1 in TC-hMDMs. Gating strategy and marker thresholds were defined based on FMO controls (see ). (D) Flow-cytometry quantification of marker-positive cells in TC-hMDMs and TC-BMDMs. (E) ELISA of IL-10, TGF-β, and iNOS in culture supernatants. (F) CCK-8 assays of A549 and LLC cells. (G) Colony-formation assays of A549 and LLC cells with quantification. (H) Bioluminescence-based growth readouts of patient-derived LUAD organoids (PDO #1 and PDO #2) after co-culture with TC-hMDMs. (I) Immunoblot analysis of EMT-related proteins (E-cadherin, N-cadherin, Vimentin) in A549 and LLC cells. (J) Transwell migration and invasion assays of A549 and LLC cells with quantification. Scale bar, 50 μm. ∗P < 0.05; ∗∗P < 0.01; ∗∗∗P < 0.001; ∗∗∗∗P < 0.0001; ns, not significant.
Article Snippet: For mouse experiments, mouse IL-10 was measured using the
Techniques: Knockdown, Functional Assay, Quantitative RT-PCR, Flow Cytometry, Marker, Enzyme-linked Immunosorbent Assay, CCK-8 Assay, Derivative Assay, Co-Culture Assay, Western Blot, Migration
Journal: Bioactive Materials
Article Title: Glucose/ROS-responsive and redox-gated adaptive hydrogel dressing for accelerating diabetic wound repair via synergistic cGAS/STING pathway inhibition and oxidative stress alleviation
doi: 10.1016/j.bioactmat.2026.03.025
Figure Lengend Snippet: Angiogenesis and collagen deposition in diabetic wound tissues following HPSL@SG hydrogel treatment. (A) Dihydroethidium (DHE) immunofluorescence staining and (B) semi-quantitative analysis of wound tissues from each treatment group on day 7, scale bar = 100 μm. Immunofluorescence staining of (C) MMP-9, IL-6, and IL-10, and (D) CD31, VEGF-A, and collagen I in wound tissue sections from each treatment group on day 7, scale bar = 100 μm. (E-J) Mean relative fluorescence intensity of each indicator in wound tissue sections from each treatment group on day 7, scale bar = 100 μm. All data are shown as mean ± SEM (n = 6).
Article Snippet: IL-6 and
Techniques: Immunofluorescence, Staining, Fluorescence