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significant changes » significant challenge (Expand Search)
changes decrease » larger decrease (Expand Search), largest decrease (Expand Search), change increases (Expand Search)
gap decrease » a decrease (Expand Search), gain decreased (Expand Search), mean decrease (Expand Search)
significant changes » significant challenge (Expand Search)
changes decrease » larger decrease (Expand Search), largest decrease (Expand Search), change increases (Expand Search)
gap decrease » a decrease (Expand Search), gain decreased (Expand Search), mean decrease (Expand Search)
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6781
Flexible Microfluidic Devices for Tunable Formation of Double Emulsion
Published 2025“…Thus, producing monodisperse double emulsions with a wide size range without changing the device design or drastically altering the fluid properties is challenging. …”
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6782
Flexible Microfluidic Devices for Tunable Formation of Double Emulsion
Published 2025“…Thus, producing monodisperse double emulsions with a wide size range without changing the device design or drastically altering the fluid properties is challenging. …”
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6783
Flexible Microfluidic Devices for Tunable Formation of Double Emulsion
Published 2025“…Thus, producing monodisperse double emulsions with a wide size range without changing the device design or drastically altering the fluid properties is challenging. …”
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6784
Flexible Microfluidic Devices for Tunable Formation of Double Emulsion
Published 2025“…Thus, producing monodisperse double emulsions with a wide size range without changing the device design or drastically altering the fluid properties is challenging. …”
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6785
Flexible Microfluidic Devices for Tunable Formation of Double Emulsion
Published 2025“…Thus, producing monodisperse double emulsions with a wide size range without changing the device design or drastically altering the fluid properties is challenging. …”
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6786
An Anti-Inflammatory and Antioxidant Patch Based on Injectable Bioadhesive Hydrogel Prevents Postoperative Atrial Fibrillation
Published 2025“…In a rat pericarditis model, this localized system significantly reduced atrial inflammation and oxidative stress, promoted anti-inflammatory M2 macrophage polarization, enhanced electrical stability, and markedly decreased POAF susceptibility.…”
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6787
An Anti-Inflammatory and Antioxidant Patch Based on Injectable Bioadhesive Hydrogel Prevents Postoperative Atrial Fibrillation
Published 2025“…In a rat pericarditis model, this localized system significantly reduced atrial inflammation and oxidative stress, promoted anti-inflammatory M2 macrophage polarization, enhanced electrical stability, and markedly decreased POAF susceptibility.…”
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6788
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6789
Table 1_Integrative multiomics analysis reveals association of gut microbiota and its metabolites with susceptibility to keloids.xls
Published 2024“…An area under the curve analysis using a random forest model based on fecal metagenomics, plasma metabolomics, and tissue metabolomics revealed that gut bacteria, plasma, and tissue metabolites were effective in distinguishing between MK and NS groups. Decreased Bacteroides plebeius could lower uracil levels, altering systemic lipid metabolism, which may change the metabolic phenotype of secretory reticular fibroblasts in wounds, potentially leading to MK. …”
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6790
Image 13_Integrative multiomics analysis reveals association of gut microbiota and its metabolites with susceptibility to keloids.jpeg
Published 2024“…An area under the curve analysis using a random forest model based on fecal metagenomics, plasma metabolomics, and tissue metabolomics revealed that gut bacteria, plasma, and tissue metabolites were effective in distinguishing between MK and NS groups. Decreased Bacteroides plebeius could lower uracil levels, altering systemic lipid metabolism, which may change the metabolic phenotype of secretory reticular fibroblasts in wounds, potentially leading to MK. …”
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6791
Image 1_Integrative multiomics analysis reveals association of gut microbiota and its metabolites with susceptibility to keloids.jpeg
Published 2024“…An area under the curve analysis using a random forest model based on fecal metagenomics, plasma metabolomics, and tissue metabolomics revealed that gut bacteria, plasma, and tissue metabolites were effective in distinguishing between MK and NS groups. Decreased Bacteroides plebeius could lower uracil levels, altering systemic lipid metabolism, which may change the metabolic phenotype of secretory reticular fibroblasts in wounds, potentially leading to MK. …”
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6792
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6793
Image 12_Integrative multiomics analysis reveals association of gut microbiota and its metabolites with susceptibility to keloids.jpeg
Published 2024“…An area under the curve analysis using a random forest model based on fecal metagenomics, plasma metabolomics, and tissue metabolomics revealed that gut bacteria, plasma, and tissue metabolites were effective in distinguishing between MK and NS groups. Decreased Bacteroides plebeius could lower uracil levels, altering systemic lipid metabolism, which may change the metabolic phenotype of secretory reticular fibroblasts in wounds, potentially leading to MK. …”
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6794
Image 11_Integrative multiomics analysis reveals association of gut microbiota and its metabolites with susceptibility to keloids.jpeg
Published 2024“…An area under the curve analysis using a random forest model based on fecal metagenomics, plasma metabolomics, and tissue metabolomics revealed that gut bacteria, plasma, and tissue metabolites were effective in distinguishing between MK and NS groups. Decreased Bacteroides plebeius could lower uracil levels, altering systemic lipid metabolism, which may change the metabolic phenotype of secretory reticular fibroblasts in wounds, potentially leading to MK. …”
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6795
Image 2_Integrative multiomics analysis reveals association of gut microbiota and its metabolites with susceptibility to keloids.jpeg
Published 2024“…An area under the curve analysis using a random forest model based on fecal metagenomics, plasma metabolomics, and tissue metabolomics revealed that gut bacteria, plasma, and tissue metabolites were effective in distinguishing between MK and NS groups. Decreased Bacteroides plebeius could lower uracil levels, altering systemic lipid metabolism, which may change the metabolic phenotype of secretory reticular fibroblasts in wounds, potentially leading to MK. …”
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6796
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6797
Image 10_Integrative multiomics analysis reveals association of gut microbiota and its metabolites with susceptibility to keloids.jpeg
Published 2024“…An area under the curve analysis using a random forest model based on fecal metagenomics, plasma metabolomics, and tissue metabolomics revealed that gut bacteria, plasma, and tissue metabolites were effective in distinguishing between MK and NS groups. Decreased Bacteroides plebeius could lower uracil levels, altering systemic lipid metabolism, which may change the metabolic phenotype of secretory reticular fibroblasts in wounds, potentially leading to MK. …”
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6798
Image 9_Integrative multiomics analysis reveals association of gut microbiota and its metabolites with susceptibility to keloids.jpeg
Published 2024“…An area under the curve analysis using a random forest model based on fecal metagenomics, plasma metabolomics, and tissue metabolomics revealed that gut bacteria, plasma, and tissue metabolites were effective in distinguishing between MK and NS groups. Decreased Bacteroides plebeius could lower uracil levels, altering systemic lipid metabolism, which may change the metabolic phenotype of secretory reticular fibroblasts in wounds, potentially leading to MK. …”
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6799
Image 3_Integrative multiomics analysis reveals association of gut microbiota and its metabolites with susceptibility to keloids.jpeg
Published 2024“…An area under the curve analysis using a random forest model based on fecal metagenomics, plasma metabolomics, and tissue metabolomics revealed that gut bacteria, plasma, and tissue metabolites were effective in distinguishing between MK and NS groups. Decreased Bacteroides plebeius could lower uracil levels, altering systemic lipid metabolism, which may change the metabolic phenotype of secretory reticular fibroblasts in wounds, potentially leading to MK. …”
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6800
Image 7_Integrative multiomics analysis reveals association of gut microbiota and its metabolites with susceptibility to keloids.jpeg
Published 2024“…An area under the curve analysis using a random forest model based on fecal metagenomics, plasma metabolomics, and tissue metabolomics revealed that gut bacteria, plasma, and tissue metabolites were effective in distinguishing between MK and NS groups. Decreased Bacteroides plebeius could lower uracil levels, altering systemic lipid metabolism, which may change the metabolic phenotype of secretory reticular fibroblasts in wounds, potentially leading to MK. …”