Mimicking Native Liver Lobule Microarchitecture In Vitro with Parenchymal and Non-parenchymal Cells Using 3D Bioprinting for Drug Toxicity and Drug Screening Applications
Source abstract
Abstract
Bioengineering an in vitro liver model recapitulating the native liver microarchitecture consisting of parenchymal and non-parenchymal cells is crucial in achieving cellular crosstalk and hepatic metabolic functions for accurate hepatotoxicity prediction. Bioprinting holds the promise of engineering constructs with precise control over the spatial distribution of multiple cells. Two distinct tissue-specific liver extracellular matrix (ECM)-based bioinks with excellent printability and rheological attributes are formulated for supporting parenchymal and non-parenchymal cells. A physiologically relevant human vascularized liver model is bioprinted with a novel liver ECM-based bioink laden with human adipose mesenchymal stem cell-derived hepatocyte-like cells (HLCs), human umbilical vein endothelial cells (HUVECs), and human hepatic stellate cells (HHSCs) using an extrusion-based bioprinting approach and validated for hepatotoxicity assessment. The HLC/HUVEC/HHSC-laden liver model resembles native alternate cords of hepatocytes with a functional sinusoidal lumen-like network in both horizontal and vertical directions, demonstrating enhanced albumin production, urea synthesis, and cytochrome P450 (CPR) activity. Furthermore, the liver model is evaluated for drug toxicity assessment following 24 h exposure to different concentrations of (i) non-hepatotoxicants aspirin and dexamethasone, (ii) idiosyncratic hepatotoxicant trovafloxacin mesylate, and (iii) clinical hepatotoxicant acetaminophen and troglitazone. A follow-up cell viability and metabolic competence evaluation by estimating DNA concentration, lactate dehydrogenase activity, and CPR activity revealed a dose-dependent clinically relevant hepatotoxic response. These results corroborated that the developed clinically relevant vascularized liver model is affordable and would aid pharmaceutical companies in speeding up the drug development and provide a robust platform for hepatotoxicity screening.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: 3D Printing in Biomedical Research · Pluripotent Stem Cells Research · Innovative Microfluidic and Catalytic Techniques Innovation
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati 781039, Assam, India
Centre for Nanotechnology, Indian Institute of Technology Guwahati, Guwahati 781039, Assam, India
School of Health Science & Technology, Indian Institute of Technology Guwahati, Guwahati 781039, Assam, India
Funding
Department of Biotechnology, Ministry of Science and Technology, India · Department of Science and Technology, Ministry of Science and Technology, India · SwarnaJayanti
References (58)
Show source-provided references
1. 10.1063/1.499470810.1063/1.4994708 ↗
2. 10.3389/fcell.2021.62680510.3389/fcell.2021.626805 ↗
3. 10.1001/jama.2020.116610.1001/jama.2020.1166 ↗
4. 10.1007/s00204-017-2036-410.1007/s00204-017-2036-4 ↗
5. 10.1186/s13287-021-02152-910.1186/s13287-021-02152-9 ↗
6. 10.1016/j.cbi.2006.10.01310.1016/j.cbi.2006.10.013 ↗
7. 10.1016/j.jcmgh.2017.11.01210.1016/j.jcmgh.2017.11.012 ↗
8. 10.1080/00498259823947010.1080/004982598239470 ↗
9. 10.1016/j.biomaterials.2020.12052910.1016/j.biomaterials.2020.120529 ↗
10. 10.1093/toxsci/kfs12210.1093/toxsci/kfs122 ↗
11. Guguen-Guillouzo C. · 2010 · 1
12. 10.1016/j.vascn.2010.04.01310.1016/j.vascn.2010.04.013 ↗
13. 10.1016/j.stem.2018.02.01110.1016/j.stem.2018.02.011 ↗
14. 10.1039/c2tx20051a10.1039/c2tx20051a ↗
15. 10.1016/j.tibtech.2016.08.00110.1016/j.tibtech.2016.08.001 ↗
16. 10.1371/journal.pone.015867410.1371/journal.pone.0158674 ↗
17. 10.1016/j.jhep.2021.06.02110.1016/j.jhep.2021.06.021 ↗
18. 10.1016/j.tox.2020.15266710.1016/j.tox.2020.152667 ↗
19. 10.1016/j.progpolymsci.2019.10114510.1016/j.progpolymsci.2019.101145 ↗
20. 10.1016/j.biomaterials.2020.12061110.1016/j.biomaterials.2020.120611 ↗
21. 10.1002/smll.20190550510.1002/smll.201905505 ↗
22. 10.1021/acsami.1c0071910.1021/acsami.1c00719 ↗
23. 10.1021/acs.biomac.6b0190810.1021/acs.biomac.6b01908 ↗
24. 10.1088/1758-5090/ab603410.1088/1758-5090/ab6034 ↗
25. Ng W. L. · Int. J. Bioprint. · 2022 · 8 · 42410.18063/ijb.v8i1.424 ↗
26. 10.1016/j.bprint.2020.e0011610.1016/j.bprint.2020.e00116 ↗
27. 10.1016/j.ajps.2019.11.00310.1016/j.ajps.2019.11.003 ↗
28. 10.1016/j.bprint.2019.e0006710.1016/j.bprint.2019.e00067 ↗
29. 10.1021/acsabm.9b0057610.1021/acsabm.9b00576 ↗
30. 10.1002/adfm.20190743610.1002/adfm.201907436 ↗
31. 10.1016/j.biomaterials.2009.01.05310.1016/j.biomaterials.2009.01.053 ↗
32. 10.1016/j.actbio.2017.11.05310.1016/j.actbio.2017.11.053 ↗
33. 10.1016/j.bbrc.2017.07.16710.1016/j.bbrc.2017.07.167 ↗
34. 10.1039/c6tb03055f10.1039/c6tb03055f ↗
35. 10.1021/acsbiomaterials.9b0116210.1021/acsbiomaterials.9b01162 ↗
36. 10.1007/bf0014128310.1007/bf00141283 ↗
37. 10.1016/j.taap.2009.04.00210.1016/j.taap.2009.04.002 ↗
38. 10.1007/s00204-014-1215-910.1007/s00204-014-1215-9 ↗
39. 10.1093/toxsci/kfs32610.1093/toxsci/kfs326 ↗
40. 10.1016/j.msec.2021.11201310.1016/j.msec.2021.112013 ↗
41. 10.1124/jpet.116.23749510.1124/jpet.116.237495 ↗
42. 10.3390/cells1006127410.3390/cells10061274 ↗
43. 10.1111/xen.1228510.1111/xen.12285 ↗
44. 10.1016/j.biomaterials.2017.02.03410.1016/j.biomaterials.2017.02.034 ↗
45. 10.1088/1758-5090/aadc9e10.1088/1758-5090/aadc9e ↗
46. 10.3390/biom912081310.3390/biom9120813 ↗
47. 10.1186/s12929-019-0575-010.1186/s12929-019-0575-0 ↗
48. 10.1073/pnas.152451011310.1073/pnas.1524510113 ↗
49. 10.1016/j.devcel.2010.01.01110.1016/j.devcel.2010.01.011 ↗
50. 10.1016/j.yexmp.2014.12.00610.1016/j.yexmp.2014.12.006 ↗
51. 10.1002/adhm.20200116310.1002/adhm.202001163 ↗
52. 10.1016/j.biomaterials.2012.07.06810.1016/j.biomaterials.2012.07.068 ↗
53. 10.3390/cells1005126810.3390/cells10051268 ↗
54. 10.1038/nrd185110.1038/nrd1851 ↗
55. 10.3389/fmedt.2020.61191310.3389/fmedt.2020.611913 ↗
56. 10.1023/a:101074151004610.1023/a:1010741510046 ↗
57. 10.3389/fphar.2019.0109310.3389/fphar.2019.01093 ↗
58. 10.1016/j.tibtech.2016.05.01410.1016/j.tibtech.2016.05.014 ↗