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The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Three-dimensional bioprinted hepatorganoids prolong survival of mice with liver failure

Open access
Yang, Huayu, Sun, Lejia, Pang, Yuan, Hu, Dandan, Xu, Haifeng, Mao, Shuangshuang, Peng, Wenbo, Wang, Yanan, Xu, Yiyao, Zheng, Yong-Chang, Du, Shunda, Zhao, Haitao, Chi, Tianyi, Lu, Xin, Sang, Xinting, Zhong, Shouxian, Wang, Xin, Zhang, Hongbing, Huang, Pengyu, Sun, Wei, Mao, Yilei·2021·Gut

Abstract

Objective: Shortage of organ donors, a critical challenge for treatment of end-stage organ failure, has motivated the development of alternative strategies to generate organs in vitro. Here, we aim to describe the hepatorganoids, which is a liver tissue model generated by three-dimensional (3D) bioprinting of HepaRG cells and investigate its liver functions in vitro and in vivo. Design: 3D bioprinted hepatorganoids (3DP-HOs) were constructed using HepaRG cells and bioink, according to specific 3D printing procedures. Liver functions of 3DP-HOs were detected after 7 days of differentiation in vitro, which were later transplanted into Fah-deficient mice. The in vivo liver functions of 3DP-HOs were evaluated by survival time and liver damage of mice, human liver function markers and human-specific debrisoquine metabolite production. Results: 3DP-HOs broadly acquired liver functions, such as ALBUMIN secretion, drug metabolism and glycogen storage after 7 days of differentiation. After transplantation into abdominal cavity of Fah -/- Rag2 -/- mouse model of liver injury, 3DP-HOs further matured and displayed increased synthesis of liver-specific proteins. Particularly, the mice acquired human-specific drug metabolism activities. Functional vascular systems were also formed in transplanted 3DP-HOs, further enhancing the material transport and liver functions of 3DP-HOs. Most importantly, transplantation of 3DP-HOs significantly improved the survival of mice. Conclusions: Our results demonstrated a comprehensive proof of principle, which indicated that 3DP-HO model of liver tissues possessed in vivo hepatic functions and alleviated liver failure after transplantation, suggesting that 3D bioprinting could be used to generate human liver tissues as the alternative transplantation donors for treatment of liver diseases.

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Research works printed but not linked: 22

  1. Fisher, 2017, Living donor liver transplantation: eliminating the wait for death in end-stage liver disease?, Nat Rev Gastroenterol Hepatol, 14, 373, 10.1038/nrgastro.2017.2 · DOI
  2. Tanaka, 2017, Resection versus transplantation for hepatocellular carcinoma exceeding Milan criteria within increasing donor shortage, Hepatobiliary Surg Nutr, 6, 280, 10.21037/hbsn.2017.03.14 · DOI
  3. Vijayavenkataraman, 2018, 3D bioprinting of tissues and organs for regenerative medicine, Adv Drug Deliv Rev, 132, 296, 10.1016/j.addr.2018.07.004 · DOI · Paper page
  4. Bernal, 2015, Acute-On-Chronic liver failure, Lancet, 386, 1576, 10.1016/S0140-6736(15)00309-8 · DOI · Paper page
  5. 10.1016/j.stem.2014.01.003 · DOI · Paper page
  6. 10.1002/hep.21704 · DOI · Paper page
  7. 10.1073/pnas.1524510113 · DOI · Paper page
  8. 10.1073/pnas.232137699 · DOI · Paper page
  9. 10.1016/j.tiv.2012.05.008 · DOI · Paper page
  10. Ouyang, 2016, Effect of bioink properties on printability and cell viability for 3D bioplotting of embryonic stem cells, Biofabrication, 8, 10.1088/1758-5090/8/3/035020 · DOI · Paper page
  11. Li, 2017, Engineering-derived approaches for iPSC preparation, expansion, differentiation and applications, Biofabrication, 9, 10.1088/1758-5090/aa7e9a · DOI
  12. Swaminathan, 2019, Bioprinting of 3D breast epithelial spheroids for human cancer models, Biofabrication, 11, 10.1088/1758-5090/aafc49 · DOI
  13. Meng, 2019, 3D Bioprinted In Vitro Metastatic Models via Reconstruction of Tumor Microenvironments, Adv Mater, 31, 1806899, 10.1002/adma.201806899 · DOI · Paper page
  14. Hiller, 2018, Generation of a 3D liver model comprising human extracellular matrix in an Alginate/Gelatin-Based Bioink by extrusion Bioprinting for infection and transduction studies, Int J Mol Sci, 19, 10.3390/ijms19103129 · DOI
  15. Zhao, 2015, The influence of printing parameters on cell survival rate and printability in microextrusion-based 3D cell printing technology, Biofabrication, 7, 10.1088/1758-5090/7/4/045002 · DOI · Paper page
  16. Pang, 2017, TGF- β induced epithelial–mesenchymal transition in an advanced cervical tumor model by 3D printing, Biofabrication, 10, 10.1088/1758-5090/aadbde · DOI
  17. Rebelo, 2015, Heparg microencapsulated spheroids in DMSO-free culture: novel culturing approaches for enhanced xenobiotic and biosynthetic metabolism, Arch Toxicol, 89, 1347, 10.1007/s00204-014-1320-9 · DOI
  18. 10.1038/ng0396-266 · DOI · Paper page
  19. Mandrycky, 2016, 3D bioprinting for engineering complex tissues, Biotechnol Adv, 34, 422, 10.1016/j.biotechadv.2015.12.011 · DOI · Paper page
  20. 10.1126/science.aav9750 · DOI · Paper page
  21. 10.1089/ten.teb.2009.0085 · DOI · Paper page
  22. 10.1016/j.tiv.2006.06.003 · DOI · Paper page

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Metadata

Authors
Yang, H., Sun, L., Pang, Y., Hu, D., Xu, H., Mao, S., Peng, W., Wang, Y., Xu, Y., Zheng, Y.-C., Du, S., Zhao, H., Chi, T., Lu, X., Sang, X., Zhong, S., Wang, X., Zhang, H., Huang, P., Sun, W., & Mao, Y.
Venue
Gut
Publisher
BMJ
Published
2020-05-20
Volume
70
Issue
3
Pages
567-574
ISSN
  • 0017-5749 (ISSN-L)
  • 1468-3288
OpenAlex
W3026731970
Cited by
201
References
10
FWCI
7.45
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Three-dimensional bioprinted hepatorganoids prolong survival of mice with liver failure. https://app.cochat.ai/papers/10.1136/gutjnl-2019-319960
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Yang, H., Sun, L., Pang, Y., Hu, D., Xu, H., Mao, S., Peng, W., Wang, Y., Xu, Y., Zheng, Y.-C., Du, S., Zhao, H., Chi, T., Lu, X., Sang, X., Zhong, S., Wang, X., Zhang, H., Huang, P., . . . Mao, Y. (2021). Three-dimensional bioprinted hepatorganoids prolong survival of mice with liver failure. Gut. https://doi.org/10.1136/gutjnl-2019-319960

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