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    ATCC mouse macrophage cell line
    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 <t>macrophage-derived</t> foam cell area). ( R ) Vulnerability scores of aortic arch and carotid artery plaques. ∗ P < 0.05, ∗∗ P < 0.01, and ∗∗∗∗ P < 0.0001.
    Mouse Macrophage Cell Line, supplied by ATCC, used in various techniques. Bioz Stars score: 99/100, based on 23514 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Images

    1) Product Images from "A foam cell-targeted lipophagy restoration strategy stabilizes vulnerable atherosclerotic plaques"

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

    Journal: Bioactive Materials

    doi: 10.1016/j.bioactmat.2026.02.041

    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.
    Figure Legend 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.

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

    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.
    Figure Legend 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.

    Techniques Used: In Vivo, Saline, Staining

    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.
    Figure Legend 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.

    Techniques Used: In Vivo, Staining

    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.
    Figure Legend 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.

    Techniques Used: Binding Assay, Construct, Expressing



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    Image Search Results


    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.

    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

    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.

    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

    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.

    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

    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.

    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

    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.

    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

    Immunomodulatory mechanism of RNM composite gel (A and B) Flow cytometric analysis of CD86 and CD206 expression in RAW264.7 macrophages after irradiation and co-culture with RN, MSCs, or RNM composite gel in a transwell system (macrophages in lower chamber). Data are represented as the mean ± SEM ( N = 3, t test). (C) Immunofluorescence staining of F4/80 (red) on cochlear sections. Scale bars, 50 μm (a, spiral ganglion; b, basilar membrane; c, stria vascularis; d, spiral ligament). (D) Apoptosis of HEI-OC1 cells analyzed by flow cytometry after radiation exposure and intervention. Data are represented as the mean ± SEM ( N = 3, t test). (E) Expression level of p-p65, a key marker of NF-κB pathway activation, in macrophages after radiation exposure and drug intervention. Data are represented as the mean ± SEM ( N = 3, t test). Significant differences between the groups are indicated by ∗ for p < 0.05, ∗∗ for p < 0.01, ∗∗∗ for p < 0.001, and ∗∗∗∗ for p < 0.0001.

    Journal: iScience

    Article Title: Fabrication of RADA32/Ngf_EE/MSCs composite hydrogel and its protective mechanism against radiation-induced ototoxicity

    doi: 10.1016/j.isci.2026.115723

    Figure Lengend Snippet: Immunomodulatory mechanism of RNM composite gel (A and B) Flow cytometric analysis of CD86 and CD206 expression in RAW264.7 macrophages after irradiation and co-culture with RN, MSCs, or RNM composite gel in a transwell system (macrophages in lower chamber). Data are represented as the mean ± SEM ( N = 3, t test). (C) Immunofluorescence staining of F4/80 (red) on cochlear sections. Scale bars, 50 μm (a, spiral ganglion; b, basilar membrane; c, stria vascularis; d, spiral ligament). (D) Apoptosis of HEI-OC1 cells analyzed by flow cytometry after radiation exposure and intervention. Data are represented as the mean ± SEM ( N = 3, t test). (E) Expression level of p-p65, a key marker of NF-κB pathway activation, in macrophages after radiation exposure and drug intervention. Data are represented as the mean ± SEM ( N = 3, t test). Significant differences between the groups are indicated by ∗ for p < 0.05, ∗∗ for p < 0.01, ∗∗∗ for p < 0.001, and ∗∗∗∗ for p < 0.0001.

    Article Snippet: Mouse bone marrow-derived mesenchymal stem cells (MSCs) and the mouse monocyte/macrophage cell line RAW264.7 were purchased from Procell Life Science & Technology Co., Ltd.

    Techniques: Expressing, Irradiation, Co-Culture Assay, Immunofluorescence, Staining, Membrane, Flow Cytometry, Marker, Activation Assay

    CRIF1 was downregulated in the AF mice. ( A ) Atrial tissue of mice was stained with hematoxylin and eosin (H&E) to display the morphological structure. CRIF1 expression in the atrial tissue of mice was detected using immunohistochemistry (200×). ( B ) The CRIF1 mRNA levels in the atrial tissue were detected by RT-qPCR. The mice cardiac muscle cell line HL-1 was treated with Ang II (0, 0.1, 0.2, 0.5, 1 and 2 μM) for 24 h. ( C ) The CRIF1 mRNA expression was determined by RT-qPCR. Data are presented as mean ± SD (n=8 mice in each group). t -test was applied. ***P<0.001 vs control group.

    Journal: Journal of Inflammation Research

    Article Title: Protective Effects of CR6-Interacting Factor 1 Against Angiotensin II-Induced Atrial Fibrillation by Regulating the SIRT1/eNOS Signaling Pathway and Cardiomyocyte Remodeling

    doi: 10.2147/JIR.S596132

    Figure Lengend Snippet: CRIF1 was downregulated in the AF mice. ( A ) Atrial tissue of mice was stained with hematoxylin and eosin (H&E) to display the morphological structure. CRIF1 expression in the atrial tissue of mice was detected using immunohistochemistry (200×). ( B ) The CRIF1 mRNA levels in the atrial tissue were detected by RT-qPCR. The mice cardiac muscle cell line HL-1 was treated with Ang II (0, 0.1, 0.2, 0.5, 1 and 2 μM) for 24 h. ( C ) The CRIF1 mRNA expression was determined by RT-qPCR. Data are presented as mean ± SD (n=8 mice in each group). t -test was applied. ***P<0.001 vs control group.

    Article Snippet: The mouse cardiac muscle cell line HL-1 was purchased from Procell (CL-0605, China).

    Techniques: Staining, Expressing, Immunohistochemistry, Quantitative RT-PCR, Control

    Overexpression of CRIF1 activates the SIRT1/eNOS pathway in cardiomyocytes treated with Ang II. HL-1 cells were transfected with pcDNA3.1-CRIF1 (OE-CRIF1) or vector for 24 h, and then treated with Ang II (1 μM) for an additional 24 h. The mRNA expression levels of ( A ) CRIF1, ( B ) SIRT1 and ( C ) eNOS were evaluated using RT-qPCR. HL-1 cells were transfected with pcDNA3.1-CRIF1 (OE-CRIF1) or vector for 24 h, and were then cotreated with a SIRT1 inhibitor EX527 (10 μM) and Ang II (1 μM) for further 24 h. ( D ) The cell apoptosis was assessed by staining with TUNEL and DAPI, and observed under a fluorescence microscope (200 X). ( E ) Apoptosis was quantified by calculating TUNEL positive cells (normalized to DAPI-stained cells). Data are presented as mean ± SD in triplicates. ***P<0.001 vs control group; ### P<0.001 vs Ang II+Vector group; $$$ P<0.001 vs OE-CRIF1 group.

    Journal: Journal of Inflammation Research

    Article Title: Protective Effects of CR6-Interacting Factor 1 Against Angiotensin II-Induced Atrial Fibrillation by Regulating the SIRT1/eNOS Signaling Pathway and Cardiomyocyte Remodeling

    doi: 10.2147/JIR.S596132

    Figure Lengend Snippet: Overexpression of CRIF1 activates the SIRT1/eNOS pathway in cardiomyocytes treated with Ang II. HL-1 cells were transfected with pcDNA3.1-CRIF1 (OE-CRIF1) or vector for 24 h, and then treated with Ang II (1 μM) for an additional 24 h. The mRNA expression levels of ( A ) CRIF1, ( B ) SIRT1 and ( C ) eNOS were evaluated using RT-qPCR. HL-1 cells were transfected with pcDNA3.1-CRIF1 (OE-CRIF1) or vector for 24 h, and were then cotreated with a SIRT1 inhibitor EX527 (10 μM) and Ang II (1 μM) for further 24 h. ( D ) The cell apoptosis was assessed by staining with TUNEL and DAPI, and observed under a fluorescence microscope (200 X). ( E ) Apoptosis was quantified by calculating TUNEL positive cells (normalized to DAPI-stained cells). Data are presented as mean ± SD in triplicates. ***P<0.001 vs control group; ### P<0.001 vs Ang II+Vector group; $$$ P<0.001 vs OE-CRIF1 group.

    Article Snippet: The mouse cardiac muscle cell line HL-1 was purchased from Procell (CL-0605, China).

    Techniques: Over Expression, Transfection, Plasmid Preparation, Expressing, Quantitative RT-PCR, Staining, TUNEL Assay, Fluorescence, Microscopy, Control

    CRIF1 overexpression inhibits Ang II–induced hypertrophy of HL-1 cells. ( A ) Cells were stained with α-actinin antibody and observed under a fluorescence microscope. Representative images are shown (200×). RT-qPCR was used to assess the mRNA expression levels of hypertrophy-related genes, including ( B ) ANP, ( C ) BNP, and ( D ) β-MHC. Data are presented as mean ± SD in triplicate. ***P<0.001 vs control group; ### P<0.001 vs Ang II+Vector group; $$$ P<0.001 vs OE-CRIF1 group.

    Journal: Journal of Inflammation Research

    Article Title: Protective Effects of CR6-Interacting Factor 1 Against Angiotensin II-Induced Atrial Fibrillation by Regulating the SIRT1/eNOS Signaling Pathway and Cardiomyocyte Remodeling

    doi: 10.2147/JIR.S596132

    Figure Lengend Snippet: CRIF1 overexpression inhibits Ang II–induced hypertrophy of HL-1 cells. ( A ) Cells were stained with α-actinin antibody and observed under a fluorescence microscope. Representative images are shown (200×). RT-qPCR was used to assess the mRNA expression levels of hypertrophy-related genes, including ( B ) ANP, ( C ) BNP, and ( D ) β-MHC. Data are presented as mean ± SD in triplicate. ***P<0.001 vs control group; ### P<0.001 vs Ang II+Vector group; $$$ P<0.001 vs OE-CRIF1 group.

    Article Snippet: The mouse cardiac muscle cell line HL-1 was purchased from Procell (CL-0605, China).

    Techniques: Over Expression, Staining, Fluorescence, Microscopy, Quantitative RT-PCR, Expressing, Control, Plasmid Preparation

    CRIF1 overexpression suppresses Ang II–induced inflammation in cardiomyocytes. ( A – C ) RT-qPCR was used to determine the mRNA levels of the pro-inflammatory cytokines TNF-α, IL-1β, and IL-6. ( D – F ) ELISA was used to measure the levels of TNF-α, IL-1β, and IL-6 in the culture medium of HL-1 cells. Data are presented as mean ± SD in triplicate. ***P<0.001 vs control group; ### P<0.001 vs Ang II+Vector group; $$$ P<0.001 vs OE-CRIF1 group.

    Journal: Journal of Inflammation Research

    Article Title: Protective Effects of CR6-Interacting Factor 1 Against Angiotensin II-Induced Atrial Fibrillation by Regulating the SIRT1/eNOS Signaling Pathway and Cardiomyocyte Remodeling

    doi: 10.2147/JIR.S596132

    Figure Lengend Snippet: CRIF1 overexpression suppresses Ang II–induced inflammation in cardiomyocytes. ( A – C ) RT-qPCR was used to determine the mRNA levels of the pro-inflammatory cytokines TNF-α, IL-1β, and IL-6. ( D – F ) ELISA was used to measure the levels of TNF-α, IL-1β, and IL-6 in the culture medium of HL-1 cells. Data are presented as mean ± SD in triplicate. ***P<0.001 vs control group; ### P<0.001 vs Ang II+Vector group; $$$ P<0.001 vs OE-CRIF1 group.

    Article Snippet: The mouse cardiac muscle cell line HL-1 was purchased from Procell (CL-0605, China).

    Techniques: Over Expression, Quantitative RT-PCR, Enzyme-linked Immunosorbent Assay, Control, Plasmid Preparation

    Overexpression of CRIF1 inhibits intracellular ROS generation and oxidative stress in cardiomyocytes treated with Ang II. ( A ) Cells were stained with DHE, and representative images of intracellular ROS are shown (200×). ( B ) The extent of intracellular ROS was quantified by counting DHE-positive cells (normalized to DAPI-stained cells). Cell lysates of HL-1 cells were used to detect the oxidative stress markers: ( C ) MDA, ( D ) SOD, ( E ) CAT, and ( F ) NO. Data are presented as mean ± SD in triplicate. ***P<0.001 vs control group; ### P<0.001 vs Ang II+Vector group; $$$ P<0.001 vs OE-CRIF1 group.

    Journal: Journal of Inflammation Research

    Article Title: Protective Effects of CR6-Interacting Factor 1 Against Angiotensin II-Induced Atrial Fibrillation by Regulating the SIRT1/eNOS Signaling Pathway and Cardiomyocyte Remodeling

    doi: 10.2147/JIR.S596132

    Figure Lengend Snippet: Overexpression of CRIF1 inhibits intracellular ROS generation and oxidative stress in cardiomyocytes treated with Ang II. ( A ) Cells were stained with DHE, and representative images of intracellular ROS are shown (200×). ( B ) The extent of intracellular ROS was quantified by counting DHE-positive cells (normalized to DAPI-stained cells). Cell lysates of HL-1 cells were used to detect the oxidative stress markers: ( C ) MDA, ( D ) SOD, ( E ) CAT, and ( F ) NO. Data are presented as mean ± SD in triplicate. ***P<0.001 vs control group; ### P<0.001 vs Ang II+Vector group; $$$ P<0.001 vs OE-CRIF1 group.

    Article Snippet: The mouse cardiac muscle cell line HL-1 was purchased from Procell (CL-0605, China).

    Techniques: Over Expression, Staining, Control, Plasmid Preparation