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• W2962391594 abstract "The liver has a unique regenerative capability upon injury or partial resection. The regeneration process comprises a complex interplay between parenchymal and non-parenchymal cells. To address the complexity of the regeneration process, a multi-scale systems biology approach is valuable to get a more comprehensive understanding of liver regeneration. In this context, non-invasive imaging can provide quantitative data of processes involved in liver regeneration at organ and body scale. Thus, we quantitatively measured liver volume recovery after 70% partial hepatectomy (PHx) by micro computed tomography (µCT) and investigated changes in the density of CD68+ macrophages by fluorescence-mediated tomography (FMT) combined with μCT using a newly developed near-infrared fluorescent probe. In addition, angiogenesis and tissue-resident macrophages were analyzed by immunohistochemistry. Based on the results, a model describing liver regeneration and the interactions between different cell types was established. In vivo analysis of liver volume regeneration over 21 days after PHx by µCT imaging demonstrated that the liver volume rapidly increased after PHx reaching a maximum at day 14 and normalizing until day 21. An increase in CD68+ macrophage density in the liver was detected from day 4 to day 8 by combined FMT-µCT imaging, followed by a decline towards control levels between day 14 and day 21. Immunohistochemistry revealed the highest angiogenic activity at day 4 after PHx that continuously declined thereafter, whereas the density of tissue-resident CD169+ macrophages was not altered. The simulated time courses for volume recovery, angiogenesis and macrophage density reflect the experimental data describing liver regeneration after PHx at organ and tissue scale. In this context, our study highlights the importance of non-invasive imaging for acquiring quantitative organ scale data that enable modeling of liver regeneration." @default.
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• W2962391594 date "2019-07-17" @default.
• W2962391594 modified "2023-10-18" @default.
• W2962391594 title "Non-invasive Imaging and Modeling of Liver Regeneration After Partial Hepatectomy" @default.
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• W2962391594 doi "https://doi.org/10.3389/fphys.2019.00904" @default.
• W2962391594 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6652107" @default.
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