Journal: Bioactive Materials

Article Title: A foam cell-targeted lipophagy restoration strategy stabilizes vulnerable atherosclerotic plaques

doi: 10.1016/j.bioactmat.2026.02.041

Figure Lengend Snippet: In vitro evaluation of foam cell lipid accumulation and lipophagy activation following OPN-HMCN@MLT treatment. ( A - C ) ORO and BODIPY staining images and corresponding quantification of ORO and BODIPY positive areas of RAW264.7 cells under different stimulations (n = 5, scale bar for ORO: 100 μm, scale bar for BODIPY: 20 μm). ( D ) Bio-TEM images of RAW264.7 cells post various treatments (n = 5, scale bars 1.0 μm). Green arrows indicate nanoparticles. ( E , F ) Morphometric analysis determined the mean number and area (μm 2 ) of LDs per cell section. ( G ) Confocal images depicting lipophagy flux in foam cells following different treatments (n = 5 biological replicates, scale bars: 10 μm). ( H - J ) The quantities of acidified autophagosomes (GFP-RFP+), neutral autophagosomes (GFP + RFP+), and LDs labeled with BODIPY were measured per cell for each condition. (K to N) Representative Western blot images and quantitative analysis of LC3, LAMP1, and P62 expression in foam cells. ∗ P < 0.05, ∗∗ P < 0.01, ∗∗∗ P < 0.001, and ∗∗∗∗ P < 0.0001.

Article Snippet: RAW264.7 mouse macrophage cells (ATCC® TIB-71; RRID: CVCL_0493) and MCAECs (Procell, CP-M081) were cultured in Dulbecco's Modified Eagle Medium (DMEM) with 10% fetal bovine serum and 1% penicillin-streptomycin at 37 °C in a 5% CO 2 atmosphere.

Techniques: In Vitro, Activation Assay, Staining, Labeling, Western Blot, Expressing

Journal: Bioactive Materials

Article Title: A foam cell-targeted lipophagy restoration strategy stabilizes vulnerable atherosclerotic plaques

doi: 10.1016/j.bioactmat.2026.02.041

Figure Lengend Snippet: In vitro examination of LD degradation in foam cells through fatty acid oxidation and cholesterol efflux. (A ) Schematic diagram of the LD degradation mechanism. ( B , C ) Confocal images and quantitative analysis of LDs colocalization with fatty acids in RAW264.7 cells following different treatments (n = 5, scale bars: 5 μm). ( D , E ) Confocal images of the colocalization of mitochondria with fatty acids and quantified data of fatty acids in RAW264.7 cells under different stimulations (n = 5, scale bars: 5 μm). ( F , G ) Confocal images illustrating mitochondrial colocalization with ATP and corresponding quantification of ATP levels in RAW264.7 cells post various treatments (n = 5, scale bars: 20 μm). ( H ) Diagram illustrating the incorporation of [U- 13 C] palmitic acid into the TCA cycle and the labeling pattern of derived metabolites (n = 3). ( I ) A PCA plot illustrates the cluster separation between the two groups (n = 3). ( J ) Heatmap showing differences in metabolites between the two groups (n = 3). ( K ) Normalized total labeling of each metabolite to [U- 13 C] palmitic acid (n = 3). ( L ) Proportion of (m + 2)-labeled TCA cycle metabolites derived from [U- 13 C] palmitic acid (n = 3). ( M - R ) The study quantified NBD-cholesterol accumulation ( M , P ) and cholesterol efflux facilitated by HDL ( N , O ) and apoA-I ( Q , R ) using confocal imaging across (n = 5, Scale bar = 50 μm). ∗ P < 0.05, ∗∗ P < 0.01, ∗∗∗ P < 0.001, and ∗∗∗∗ P < 0.0001.

Article Snippet: RAW264.7 mouse macrophage cells (ATCC® TIB-71; RRID: CVCL_0493) and MCAECs (Procell, CP-M081) were cultured in Dulbecco's Modified Eagle Medium (DMEM) with 10% fetal bovine serum and 1% penicillin-streptomycin at 37 °C in a 5% CO 2 atmosphere.

Techniques: In Vitro, Labeling, Derivative Assay, Imaging

Journal: Bioactive Materials

Article Title: pH-neutralization strategy to suppress GPCR68 spatiotemporally activates T cells and enhances anti-tumor immunity

doi: 10.1016/j.bioactmat.2026.02.039

Figure Lengend Snippet: GPCR68 as a pH-Sensing regulator in T Cells and generation of GPCR68 fl/fl CD4 Cre mice. (A) Schematic diagram of the effect of pH on T cell GPCR68 as well as tumor. (B) Naïve CD4 + T cells were isolated and activated using anti-CD3 and anti-CD28 using the culture media with varying pH. RT-qPCR was performed to determine the expression of GPCR68 at various pH. (C) Naïve CD4 + T cells were activated with anti-CD3 and anti-CD28 under different pH conditions, and GPCR68 protein expression was assessed by Western blot analysis. (D) To generate conditional knockout (CKO) of GPCR68 in T cells, GPCR68 fl/fl mice were crossed with CD4 Cre mice and generated GPCR68 fl/fl CD4 Cre (CKO). (E) Flow cytometry was used to determine the population of CD4 and CD8 cells in the lymph nodes (LN), thymus (THY), and spleen (SP) at the basal level in CD4 Cre or GPCR68 fl/fl CD4 Cre mice. (F) Flow cytometry was used to determine the population of Foxp3+ Treg cells in the lymph nodes, thymus, and spleen at the basal level in the CD4 Cre or GPCR68 fl/fl CD4 Cre mice. (G-H) The population of F4/80+, CD11c+ (G), and B220+ (H) cells was determined in the lymph nodes and spleen at the basal level in the CD4 Cre or GPCR68 fl/fl CD4 Cre mice. (I-J) Flow cytometry was used to evaluate the CD4 + or CD8 + T cells for the determination of intracellular cytokines IFN-γ+ (I), or TNF-α+ (J) from the spleen and lymph nodes at basal level in the CD4 Cre or GPCR68 fl/fl CD4 Cre mice. Student t-test was performed for comparison between the two groups. Data are mean ± SEM (n = 5), ∗ p < 0.05.

Article Snippet: Naïve T cells were purified from lymph nodes as well as spleens of C57/BL6, CD4 Cre , GPCR68 fl/fl CD4 Cre (CKO) mice by using the mouse naïve CD4 + T Cell Isolation Kit (#130-104-453; Miltenyi Biotec) or naïve CD8 + T Cell Isolation Kit (#130-096-543; Miltenyi Biotec) for negative selection.

Techniques: Isolation, Quantitative RT-PCR, Expressing, Western Blot, Knock-Out, Generated, Flow Cytometry, Comparison

Journal: Bioactive Materials

Article Title: pH-neutralization strategy to suppress GPCR68 spatiotemporally activates T cells and enhances anti-tumor immunity

doi: 10.1016/j.bioactmat.2026.02.039

Figure Lengend Snippet: GPCR68 fl/fl CD4 Cre mice exhibit improved anti-tumor mmune responses. (A-C) Naïve CD4 + T cells were isolated from CD4 Cre or GPCR68 fl/fl CD4 Cre mice and activated using anti-CD3 and anti-CD28 using the culture media under physiologic neutral pH (7.4) or varying pH 6.0, 6.5, or 7.8. Flow cytometry plots showing the expression of IFN-γ and IL-2 in CD4 + T cells from CD4 Cre and GPCR68 fl/fl CD4 Cre mice. Each panel represents the frequency of IFN-γ + and IL-2 + cells. (B) Bar graph summarizing the percentage of IFN-γ + CD4 + T cells at each pH level for CD4 Cre and GPCR68 fl/fl CD4 Cre mice. (C) Bar graph showing the percentage of IL-2 + CD4 + T cells at each pH for CD4 Cre and GPCR68 fl/fl CD4 Cre mice. (D) Experimental timeline depicting tumor induction and treatment protocol in CD4 Cre and GPCR68 fl/fl CD4 Cre mice. (E) Tumor growth curves in CD4 Cre and GPCR68 fl/fl CD4 Cre mice. (F) Tumor weight in CD4 Cre versus GPCR68 fl/fl CD4 Cre mice at the time of harvesting on day 21. (G) Representative images of excised tumors at day 21. (H) Flow cytometric analysis of IFN-γ production by tumor-infiltrating CD4 + and CD8 + T cells. (I) Flow cytometric analysis of TNF-α production by tumor-infiltrating CD4 + and CD8 + T cells. Student t-test was performed for comparison between the two groups. Two-way ANOVA was used for multiple comparisons. Data are mean ± SEM (n = 5). ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001, ns = not significant.

Article Snippet: Naïve T cells were purified from lymph nodes as well as spleens of C57/BL6, CD4 Cre , GPCR68 fl/fl CD4 Cre (CKO) mice by using the mouse naïve CD4 + T Cell Isolation Kit (#130-104-453; Miltenyi Biotec) or naïve CD8 + T Cell Isolation Kit (#130-096-543; Miltenyi Biotec) for negative selection.

Techniques: Isolation, Flow Cytometry, Expressing, Comparison

Journal: Bioactive Materials

Article Title: pH-neutralization strategy to suppress GPCR68 spatiotemporally activates T cells and enhances anti-tumor immunity

doi: 10.1016/j.bioactmat.2026.02.039

Figure Lengend Snippet: Physicochemical properties of BOLT, and BOLT reduces the growth of tumor cells. (A) Schematic of surface double-layer formation and ion release. (B) Negative zeta potential (−1.365 mV) and high conductivity (1.334 mS/cm), confirming colloidal stability and ion release. (C) Uniform particle size (∼1478 nm) across batches. (D) Interfacial pH buffering in PBS. (E) Naïve CD4 + T cells were isolated and activated using anti-CD3 and anti-CD28 using the culture media with 6.0 pH and treated with various doses of BOLT. RT-qPCR was performed to determine the expression of Gpcr68 at various BOLT doses in activated T cells at acidic pH. (F) Anti-CD3 and anti-CD28 activated CD4 + T cells were treated with different doses of BOLT to determine the protein expression of GPCR68 using Western blot. (G-J) CCK8 assay was performed to analyze the effect of various pH on B16, MC38, 143B, and MG63 cell proliferation. (K-L) Effect of various doses of BOLT on the B16 and K7M2 cell growth to determine the IC-50 of BOLT. Error bars represent mean ± SEM. ∗∗ p < 0.01 and ∗ p < 0.05.

Article Snippet: Naïve T cells were purified from lymph nodes as well as spleens of C57/BL6, CD4 Cre , GPCR68 fl/fl CD4 Cre (CKO) mice by using the mouse naïve CD4 + T Cell Isolation Kit (#130-104-453; Miltenyi Biotec) or naïve CD8 + T Cell Isolation Kit (#130-096-543; Miltenyi Biotec) for negative selection.

Techniques: Zeta Potential Analyzer, Isolation, Quantitative RT-PCR, Expressing, Western Blot, CCK-8 Assay

Journal: Bioactive Materials

Article Title: pH-neutralization strategy to suppress GPCR68 spatiotemporally activates T cells and enhances anti-tumor immunity

doi: 10.1016/j.bioactmat.2026.02.039

Figure Lengend Snippet: BOLT activates T cell PI3K-AKT-mTOR pathway to enhance T cell anti-tumor effect. (A) Flow cytometry plots compare IFN-γ and IL-2 expression at pH 7.8 and 6.0 along with various doses of BOLT in CD4 + T cells from CD4 Cre or GPCR68 fl/fl CD4 Cre mice. (B, C) Bar graphs show IFN-γ and IL-2 expression in CD4 + T cells from CD4 Cre or GPCR68 fl/fl CD4 Cre mice. (D) Naïve CD4 + T cells were activated with anti-CD3 and anti-CD28 antibodies and incubated for 3 days with cell culture media of different pH levels. Western blot was performed to determine the phosphorylation of Akt and S6 under acidic conditions (pH 6.5) and alkaline pH (7.8). (E) Activated CD4 + T cells were treated with 0, 0.25, and 0.5 mg/mL doses of BOLT following CD4 + T cells activation at pH 7.8. Western blot analysis showing the phosphorylation of Akt and S6 were observed. (F) CD4 + T cells were activated and treated with BOLT at acidic pH. Western blot analysis was performed to determine the phosphorylation of Akt and S6. Two-way ANOVA was used for multiple comparisons. Experiments were conducted in triplicate. Data are mean ± SEM, ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001, and ∗∗∗∗ p < 0.0001.

Article Snippet: Naïve T cells were purified from lymph nodes as well as spleens of C57/BL6, CD4 Cre , GPCR68 fl/fl CD4 Cre (CKO) mice by using the mouse naïve CD4 + T Cell Isolation Kit (#130-104-453; Miltenyi Biotec) or naïve CD8 + T Cell Isolation Kit (#130-096-543; Miltenyi Biotec) for negative selection.

Techniques: Flow Cytometry, Expressing, Incubation, Cell Culture, Western Blot, Phospho-proteomics, Activation Assay

Journal: Bioactive Materials

Article Title: pH-neutralization strategy to suppress GPCR68 spatiotemporally activates T cells and enhances anti-tumor immunity

doi: 10.1016/j.bioactmat.2026.02.039

Figure Lengend Snippet: GPCR68 as a pH-Sensing regulator in T Cells and generation of GPCR68 fl/fl CD4 Cre mice. (A) Schematic diagram of the effect of pH on T cell GPCR68 as well as tumor. (B) Naïve CD4 + T cells were isolated and activated using anti-CD3 and anti-CD28 using the culture media with varying pH. RT-qPCR was performed to determine the expression of GPCR68 at various pH. (C) Naïve CD4 + T cells were activated with anti-CD3 and anti-CD28 under different pH conditions, and GPCR68 protein expression was assessed by Western blot analysis. (D) To generate conditional knockout (CKO) of GPCR68 in T cells, GPCR68 fl/fl mice were crossed with CD4 Cre mice and generated GPCR68 fl/fl CD4 Cre (CKO). (E) Flow cytometry was used to determine the population of CD4 and CD8 cells in the lymph nodes (LN), thymus (THY), and spleen (SP) at the basal level in CD4 Cre or GPCR68 fl/fl CD4 Cre mice. (F) Flow cytometry was used to determine the population of Foxp3+ Treg cells in the lymph nodes, thymus, and spleen at the basal level in the CD4 Cre or GPCR68 fl/fl CD4 Cre mice. (G-H) The population of F4/80+, CD11c+ (G), and B220+ (H) cells was determined in the lymph nodes and spleen at the basal level in the CD4 Cre or GPCR68 fl/fl CD4 Cre mice. (I-J) Flow cytometry was used to evaluate the CD4 + or CD8 + T cells for the determination of intracellular cytokines IFN-γ+ (I), or TNF-α+ (J) from the spleen and lymph nodes at basal level in the CD4 Cre or GPCR68 fl/fl CD4 Cre mice. Student t-test was performed for comparison between the two groups. Data are mean ± SEM (n = 5), ∗ p < 0.05.

Article Snippet: Naïve T cells were purified from lymph nodes as well as spleens of C57/BL6, CD4 Cre , GPCR68 fl/fl CD4 Cre (CKO) mice by using the mouse naïve CD4 + T Cell Isolation Kit (#130-104-453; Miltenyi Biotec) or naïve CD8 + T Cell Isolation Kit (#130-096-543; Miltenyi Biotec) for negative selection.

Techniques: Isolation, Quantitative RT-PCR, Expressing, Western Blot, Knock-Out, Generated, Flow Cytometry, Comparison

Journal: Bioactive Materials

Article Title: pH-neutralization strategy to suppress GPCR68 spatiotemporally activates T cells and enhances anti-tumor immunity

doi: 10.1016/j.bioactmat.2026.02.039

Figure Lengend Snippet: GPCR68 fl/fl CD4 Cre mice exhibit improved anti-tumor mmune responses. (A-C) Naïve CD4 + T cells were isolated from CD4 Cre or GPCR68 fl/fl CD4 Cre mice and activated using anti-CD3 and anti-CD28 using the culture media under physiologic neutral pH (7.4) or varying pH 6.0, 6.5, or 7.8. Flow cytometry plots showing the expression of IFN-γ and IL-2 in CD4 + T cells from CD4 Cre and GPCR68 fl/fl CD4 Cre mice. Each panel represents the frequency of IFN-γ + and IL-2 + cells. (B) Bar graph summarizing the percentage of IFN-γ + CD4 + T cells at each pH level for CD4 Cre and GPCR68 fl/fl CD4 Cre mice. (C) Bar graph showing the percentage of IL-2 + CD4 + T cells at each pH for CD4 Cre and GPCR68 fl/fl CD4 Cre mice. (D) Experimental timeline depicting tumor induction and treatment protocol in CD4 Cre and GPCR68 fl/fl CD4 Cre mice. (E) Tumor growth curves in CD4 Cre and GPCR68 fl/fl CD4 Cre mice. (F) Tumor weight in CD4 Cre versus GPCR68 fl/fl CD4 Cre mice at the time of harvesting on day 21. (G) Representative images of excised tumors at day 21. (H) Flow cytometric analysis of IFN-γ production by tumor-infiltrating CD4 + and CD8 + T cells. (I) Flow cytometric analysis of TNF-α production by tumor-infiltrating CD4 + and CD8 + T cells. Student t-test was performed for comparison between the two groups. Two-way ANOVA was used for multiple comparisons. Data are mean ± SEM (n = 5). ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001, ns = not significant.

Article Snippet: Naïve T cells were purified from lymph nodes as well as spleens of C57/BL6, CD4 Cre , GPCR68 fl/fl CD4 Cre (CKO) mice by using the mouse naïve CD4 + T Cell Isolation Kit (#130-104-453; Miltenyi Biotec) or naïve CD8 + T Cell Isolation Kit (#130-096-543; Miltenyi Biotec) for negative selection.

Techniques: Isolation, Flow Cytometry, Expressing, Comparison

Journal: Bioactive Materials

Article Title: pH-neutralization strategy to suppress GPCR68 spatiotemporally activates T cells and enhances anti-tumor immunity

doi: 10.1016/j.bioactmat.2026.02.039

Figure Lengend Snippet: Anti-tumor effects of borate bioactive glass (BOLT) in B16 tumor. (A) Schematic illustration depicting the induction of B16 melanoma tumors, followed by treatment with BOLT at various time points, and tumor harvesting for subsequent analysis. (B) Tumor growth curves showing tumor volume in Control and BOLT-treated B16 melanoma tumors in mice. (C) Tumor weight at the time of harvesting in the BOLT-treated group compared to the Control. (D) Representative images of excised tumors from Control and BOLT-treated mice. (E) In vivo imaging of tumor-bearing mice in both the Control and BOLT-treated groups. (F) Flow cytometry analysis showing IFN-γ production in CD4 + and CD8 + T cells following BOLT treatment compared to Control. (G) Flow cytometry analysis demonstrated TNF-α production in CD4 + and CD8 + T cells in the BOLT-treated group, with a significant increase observed in CD8 + T cells. Student t-test was performed for comparison between the two groups. Two-way ANOVA was used for multiple comparisons. Data represent the mean ± SEM (n = 5). ∗ p < 0.05, ∗∗ p < 0.01.

Article Snippet: Naïve T cells were purified from lymph nodes as well as spleens of C57/BL6, CD4 Cre , GPCR68 fl/fl CD4 Cre (CKO) mice by using the mouse naïve CD4 + T Cell Isolation Kit (#130-104-453; Miltenyi Biotec) or naïve CD8 + T Cell Isolation Kit (#130-096-543; Miltenyi Biotec) for negative selection.

Techniques: Control, In Vivo Imaging, Flow Cytometry, Comparison

Journal: Bioactive Materials

Article Title: pH-neutralization strategy to suppress GPCR68 spatiotemporally activates T cells and enhances anti-tumor immunity

doi: 10.1016/j.bioactmat.2026.02.039

Figure Lengend Snippet: Combinational treatment of BOLT and anti-CTLA-4 blockade enhances anti-tumor immune response in B16 melanoma. (A) C57BL/6 mice were subcutaneously injected with 1 × 10 5 B16 melanoma cells on day 0 to induce tumors. On day 7, mice were randomly divided into groups and treated with either BOLT alone (intratumoral injection administered on alternate days starting from day 7), anti-CTLA-4 (intraperitoneal injection administered on days 9, 11, 13, and 15), or a combination of both treatments. PBS was used as a vehicle Control, while IgG was used as anti-CTLA-4 Control. Tumor growth was monitored throughout the treatment period, and tumors were harvested for analysis on day 21. (B-C) Tumor growth curves and area under the curve (AUC) analysis for WT mice treated with BOLT, with or without anti-CTLA-4 antibody, following subcutaneous injection of B16 melanoma cells. Tumor growth was monitored, and analysis was conducted on day 21. (D) Representative images of excised tumors at day 21, showed reduced tumor size in combination-treated mice. (E, F) Flow cytometry analysis of IFN-γ production by tumor-infiltrating CD4 + and CD8 + T cells. (G, H) Flow cytometry analysis of TNF-α production by tumor-infiltrating CD4 + and CD8 + T cells. Two-way ANOVA was used for multiple comparisons. Data are mean ± SEM (n = 5), ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001, and ∗∗∗∗ p < 0.0001.

Article Snippet: Naïve T cells were purified from lymph nodes as well as spleens of C57/BL6, CD4 Cre , GPCR68 fl/fl CD4 Cre (CKO) mice by using the mouse naïve CD4 + T Cell Isolation Kit (#130-104-453; Miltenyi Biotec) or naïve CD8 + T Cell Isolation Kit (#130-096-543; Miltenyi Biotec) for negative selection.

Techniques: Injection, Control, Flow Cytometry

Journal: Bioactive Materials

Article Title: A foam cell-targeted lipophagy restoration strategy stabilizes vulnerable atherosclerotic plaques

doi: 10.1016/j.bioactmat.2026.02.041

Figure Lengend Snippet: In vivo photoacoustic imaging and analysis of the vulnerability of atherosclerotic plaque. ( A - G ) Ex vivo distribution of HMCN@Cy5.5 , Scr-HMCN@Cy5.5 , and OPN-HMCN@Cy5.5 in various organs—specifically the aorta ( B ), heart ( C ), liver ( D ), spleen ( E ), lung ( F ), and kidney ( G )—from apoE −/− mice at 0, 6, 12, and 24 h post-intravenous injection (n = 3). ( H ) Confocal images demonstrate the colocalization of OPN with CY5.5-labeled nanoparticles in aortic roots (n = 6, scale bars, 200 μm). ( I ) Quantitative analysis of the relative MFI of OPN and CY5.5 in different treatment groups. ( J , K ) Photoacoustic images and quantitative analysis of signal intensities of atherosclerotic plaque in carotid arteries of both healthy and atherosclerosis mice (n = 3). For each animal, longitudinal PA imaging was performed on the same carotid artery at predefined anatomical landmarks across different time points. Photoacoustic images were acquired with depth calibration based on acoustic time-of-flight measurements, converting ultrasound echo delay into depth using the predefined sound velocity in soft tissue. A calibrated depth scale bar is shown in each image, with an effective imaging depth of approximately 7 mm. ( L , M ) Pathological staining of atherosclerotic plaques in the carotid artery and aortic arch includes ORO and Masson staining (scale bar = 200 μm), as well as α -SMA, and CD68 fluorescent staining (scale bar = 100 μm each). ( N - Q ) The statistical analysis of ( N ) ORO staining (namely the percentage of LD area), ( O ) Masson staining (namely the percentage of collagen fiber area), ( P ) α -SMA fluorescent staining (namely the percentage of smooth muscle cell area) and ( Q ) CD68 fluorescent staining (namely the percentage of macrophage-derived foam cell area). ( R ) Vulnerability scores of aortic arch and carotid artery plaques. ∗ P < 0.05, ∗∗ P < 0.01, and ∗∗∗∗ P < 0.0001.

Article Snippet: Mouse macrophage cell line (RAW264.7) was obtained from the American Type Culture Collection, USA.

Techniques: In Vivo, Imaging, Ex Vivo, Injection, Labeling, Staining, Derivative Assay

Journal: Bioactive Materials

Article Title: A foam cell-targeted lipophagy restoration strategy stabilizes vulnerable atherosclerotic plaques

doi: 10.1016/j.bioactmat.2026.02.041

Figure Lengend Snippet: In vivo atherosclerosis reversal. ( A ) Schematic illustration of the experimental timeline and treatment strategy for establishing a mature, vulnerable atherosclerosis model and evaluating therapeutic interventions. Mice were fed a high-fat diet (HFD) for 12 weeks and then divided into five groups (HFD+ 12W, Saline HFD+, OPN-HMCN@MLT HFD+, Saline HFD−, and OPN-HMCN@MLT HFD−). Except for the HFD+ 12W group, the remaining groups were further maintained for an additional 4 weeks under either HFD or non-HFD conditions with the indicated treatments. ( B , C ) Images of en face ORO-stained aortas ( B ) and quantitative analysis of ORO-positive regions ( C ) from mice subjected to different treatments and diets (n = 6, scale bar: 5 mm). ( D ) Aortic root sections stained by ORO, H&E, α-SMA antibody, Masson's trichrome, CD68 antibody, and MMP-9 antibody, respectively, following various therapeutic procedures (n = 6, scale bar: 500 μm). ( E - J ) Quantitative data of lipid accumulation ( E ), necrotic core area ( F ), collagen area ( G ), MMP-9 level ( H ), VSMC area ( I ), and macrophage-foam cell area ( J ) in aortic root sections. ( K ) Vulnerability scores of aortic root plaque. ∗ P < 0.05, ∗∗ P < 0.01, ∗∗∗ P < 0.001, ∗∗∗∗ P < 0.0001.

Article Snippet: Mouse macrophage cell line (RAW264.7) was obtained from the American Type Culture Collection, USA.

Techniques: In Vivo, Saline, Staining

Journal: Bioactive Materials

Article Title: A foam cell-targeted lipophagy restoration strategy stabilizes vulnerable atherosclerotic plaques

doi: 10.1016/j.bioactmat.2026.02.041

Figure Lengend Snippet: In vivo anti-atherosclerosis effects. ( A ) Diagram illustrating the treatment protocol for apoE −/− mice. ( B , C ) En face ORO staining images and quantitative analysis of the lesion area of aortic lesion areas in apoE −/− mice following various treatments (n = 6, scale bar: 5 mm). ( D ) Quantification of the reduction ratio (versus model) of ORO-positive area to the entire aorta. ( E ) Cross-sectional images of ORO-stained aortic root (scale bars, 500 μm) and brachiocephalic artery (scale bars, 200 μm). n = 6. ( F and G ) Quantitative analysis of the aortic root lesion area ( F ) and the reduction ratio (versus model) of ORO-positive area to the aortic root ( G ). ( H ) Aortic root sections stained by H&E, α-SMA antibody, Masson's trichrome, CD68 antibody, MMP-9 antibody, and OPN antibody, respectively, following various therapeutic procedures (n = 6, scale bar: 500 μm). ( I-M ) Quantitative data of necrotic core area ( I ), collagen area ( J ), VSMC area ( K ), macrophage-foam cell area ( L ), and MMP-9 level ( M ) in aortic root sections. ( N ) Representative TEM images of LDs in the aortic root and arch of apoE −/− mice following various treatments (scale bar: 1 μm). The green arrow indicates elastic fibers. ( O-R ) Quantification of lipid droplet number and average area per cell section, n = 6. ∗ P < 0.05, ∗∗ P < 0.01, ∗∗∗ P < 0.001, and ∗∗∗∗ P < 0.0001.

Article Snippet: Mouse macrophage cell line (RAW264.7) was obtained from the American Type Culture Collection, USA.

Techniques: In Vivo, Staining

Journal: Bioactive Materials

Article Title: A foam cell-targeted lipophagy restoration strategy stabilizes vulnerable atherosclerotic plaques

doi: 10.1016/j.bioactmat.2026.02.041

Figure Lengend Snippet: Schematic of the anti-atherosclerotic mechanism of OPN-HMCN@MLT. ( A ) The study commenced with the synthesis of mesoporous carbon nanospheres (MCN) functionalized with an OPN-binding peptide and hyaluronic acid to construct the OPN-HMCN nanoplatform. The OPN-binding peptide was designed to recognize OPN enriched in the extracellular matrix and on the surface of foam cells, thereby enabling selective accumulation in OPN-rich pathological regions. Following OPN recognition, OPN-HMCN@MLT undergoes CD44-dependent endocytosis. Melatonin (MLT), a lipid autophagy–promoting agent, was subsequently encapsulated within the nanocarrier to form OPN-HMCN@MLT. Firstly, the released MLT can bind to and upregulate the expression of PPARα and PPARγ, which then promote the expression of downstream genes (ABCA1, ABCG1, ACOX-1, and CTP1A) and trigger the lipophagy. ( B ) Subsequently, its lipophagy-enhancing effects, including ABCA1/G1-mediated cholesterol efflux and CTP1A/ACOX-1-mediated mitochondrial fatty acid oxidation, were studied to confirm the reversal of foam cell formation. ( C ) These effects eventually promote foam cells to reverse into macrophages. Abbreviations: MCN, mesoporous carbon nanoparticle; OPN, osteopontin; MLT, melatonin; LDL, low-density lipoprotein; ox-LDL, oxidized low-density lipoprotein; PA, Photoacoustic.

Article Snippet: Mouse macrophage cell line (RAW264.7) was obtained from the American Type Culture Collection, USA.

Techniques: Binding Assay, Construct, Expressing

Journal: STAR Protocols

Article Title: Protocol for pro-inflammatory microRNA motif discovery using machine learning

doi: 10.1016/j.xpro.2026.104467

Figure Lengend Snippet: Microscopic images of RAW 264.7 cells in 96-well plate before starvation and transfection (related to step 10) (A) 70% confluency. (B) <50% confluency. Scale bars represent 100 μm.

Article Snippet: RAW 264.7 mouse macrophage cell line , ATCC , Cat#TIB-71; RRID: CVCL_0493.

Techniques: Transfection

Journal: STAR Protocols

Article Title: Protocol for potent activation of T cells using BPI-stimulated murine bone marrow-derived cells

doi: 10.1016/j.xpro.2026.104519

Figure Lengend Snippet: Expected results of this protocol Naïve CD4 + T cells cultured for d5 in supernatant of untreated BMDCs (SN NT) or in supernatant of BPI-treated BMDCs (SN BPI). (A) Representative dot blot of flow cytometric analysis of CD62L and CD44 cell surface presentation. (B) IL-22 secretion measured by Luminex technology, n = 4. Data are shown as means ± SEM. Statistical testing was performed using Student`s ratio paired t test.

Article Snippet: Note: If no FACS device is available, the sorting of naïve T cells can be performed using a naïve MACS Sort Kit from Miltenyi Biotec (130-104-453 ).

Techniques: Cell Culture, Dot Blot, Luminex