Mechanobiological stimulation in organ-on-a-chip systems reduces hepatic drug metabolic capacity in favor of regenerative specialization.

endothelial cell hepatocyte microenvironment microphysiological system oxygen shear stress

Journal

Biotechnology and bioengineering
ISSN: 1097-0290
Titre abrégé: Biotechnol Bioeng
Pays: United States
ID NLM: 7502021

Informations de publication

Date de publication:
07 Jan 2024
Historique:
revised: 20 12 2023
received: 04 05 2023
accepted: 22 12 2023
medline: 7 1 2024
pubmed: 7 1 2024
entrez: 7 1 2024
Statut: aheadofprint

Résumé

Hepatic physiology depends on the liver's complex structural composition which among others, provides high oxygen supply rates, locally differential oxygen tension, endothelial paracrine signaling, as well as residual hemodynamic shear stress to resident hepatocytes. While functional improvements were shown by implementing these factors into hepatic culture systems, direct cause-effect relationships are often not well characterized-obfuscating their individual contribution in more complex microphysiological systems. By comparing increasingly complex hepatic in vitro culture systems that gradually implement these parameters, we investigate the influence of the cellular microenvironment to overall hepatic functionality in pharmacological applications. Here, hepatocytes were modulated in terms of oxygen tension and supplementation, endothelial coculture, and exposure to fluid shear stress delineated from oxygen influx. Results from transcriptomic and metabolomic evaluation indicate that particularly oxygen supply rates are critical to enhance cellular functionality-with cellular drug metabolism remaining comparable to physiological conditions after prolonged static culture. Endothelial signaling was found to be a major contributor to differential phenotype formation known as metabolic zonation, indicated by WNT pathway activity. Lastly, oxygen-delineated shear stress was identified to direct cellular fate towards increased hepatic plasticity and regenerative phenotypes at the cost of drug metabolic functionality - in line with regenerative effects observed in vivo. With these results, we provide a systematic evaluation of critical parameters and their impact in hepatic systems. Given their adherence to physiological effects in vivo, this highlights the importance of their implementation in biomimetic devices, such as organ-on-a-chip systems. Considering recent advances in basic liver biology, direct translation of physiological structures into in vitro models is a promising strategy to expand the capabilities of pharmacological models.

Identifiants

pubmed: 38184801
doi: 10.1002/bit.28653
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Japanese Agency for Medical Research and Development

Informations de copyright

© 2024 Wiley Periodicals LLC.

Références

Allen, J. W., Khetani, S. R., & Bhatia, S. N. (2005). In vitro zonation and toxicity in a hepatocyte bioreactor. Toxicological Sciences, 84, 110-119.
Allen, J. W., & Bhatia, S. N. (2003). Formation of steady-state oxygen gradients in vitro: Application to liver zonation. Biotechnology and Bioengineering, 82, 253-262.
Balwierz, P. J., Pachkov, M., Arnold, P., Gruber, A. J., Zavolan, M., & van Nimwegen, E. (2014). ISMARA: Automated modeling of genomic signals as a democracy of regulatory motifs. Genome Research, 24, 869-884.
Bao, Y., Wang, P., Shao, X., Zhu, J., Xiao, J., Shi, J., Zhang, L., Zhu, H. J., Ma, X., Manautou, J. E., & Zhong, X. (2020). Acetaminophen-induced liver injury alters expression and activities of cytochrome P450 enzymes in an age-dependent manner in mouse liver. Drug Metabolism and Disposition, 48, 326-336.
Baudy, A. R., Otieno, M. A., Hewitt, P., Gan, J., Roth, A., Keller, D., Sura, R., Van Vleet, T. R., & Proctor, W. R. (2020). Liver microphysiological systems development guidelines for safety risk assessment in the pharmaceutical industry. Lab on a Chip, 20, 215-225.
Ben-Moshe, S., & Itzkovitz, S. (2019). Spatial heterogeneity in the mammalian liver. Nature Reviews Gastroenterology & Hepatology, 16, 395-410.
Berndt, N., & Holzhütter, H.-G. (2018). Dynamic metabolic zonation of the hepatic glucose metabolism is accomplished by sinusoidal plasma gradients of nutrients and hormones. Frontiers in Physiology, 9, 01786.
Carreau, A., Hafny-Rahbi, B. E., Matejuk, A., Grillon, C., & Kieda, C. (2011). Why is the partial oxygen pressure of human tissues a crucial parameter? Small molecules and hypoxia. Journal of Cellular and Molecular Medicine, 15, 1239-1253.
Cheng, X., Kim, S. Y., Okamoto, H., Xin, Y., Yancopoulos, G. D., Murphy, A. J., & Gromada, J. (2018). Glucagon contributes to liver zonation. Proceedings of the National Academy of Sciences of the United States of America, 115, E4111-E4119.
Chistiakov, D. A., Orekhov, A. N., & Bobryshev, Y. V. (2017). Effects of shear stress on endothelial cells: go with the flow. Acta Physiologica, 219, 382-408.
Danoy, M., Bernier, M. L., Kimura, K., Poulain, S., Kato, S., Mori, D., Kido, T., Plessy, C., Kusuhara, H., Miyajima, A., Sakai, Y., & Leclerc, E. (2019). Optimized protocol for the hepatic differentiation of induced pluripotent stem cells in a fluidic microenvironment. Biotechnology and Bioengineering, 116, 1762-1776.
Danoy, M., Poulain, S., Lereau-Bernier, M., Kato, S., Scheidecker, B., Kido, T., Miyajima, A., Sakai, Y., Plessy, C., & Leclerc, E. (2020). Characterization of liver zonation-like transcriptomic patterns in HLCs derived from hiPSCs in a microfluidic biochip environment. Biotechnology Progress, 36(5):e3013. https://doi.org/10.1002/btpr.3013
Davies, M., Peramuhendige, P., King, L., Golding, M., Kotian, A., Penney, M., Shah, S., & Manevski, N. (2020). Evaluation of in vitro models for assessment of human intestinal metabolism in drug discovery. Drug Metabolism and Disposition, 48, 1169-1182.
Deng, X., Zhang, X., Li, W., Feng, R. X., Li, L., Yi, G. R., Zhang, X. N., Yin, C., Yu, H. Y., Zhang, J. P., Lu, B., Hui, L., & Xie, W. F. (2018). Chronic liver injury induces conversion of biliary epithelial cells into hepatocytes. Cell Stem Cell, 23, 114-122.e3.
Dorato, M. A., & Buckley, L. A. (2007). Toxicology testing in drug discovery and development. Current Protocols in Toxicology, 31, 1-35.
Droin, C., Kholtei, J. E., Bahar Halpern, K., Hurni, C., Rozenberg, M., Muvkadi, S., Itzkovitz, S., & Naef, F. (2021). Space-time logic of liver gene expression at sub-lobular scale. Nature Metabolism, 3, 43-58.
Du, Y., Li, N., Yang, H., Luo, C., Gong, Y., Tong, C., Gao, Y., Lü, S., & Long, M. (2017). Mimicking liver sinusoidal structures and functions using a 3D-configured microfluidic chip. Lab on a Chip, 17, 782-794.
Ehrlich, A., Duche, D., Ouedraogo, G., & Nahmias, Y. (2019). Challenges and opportunities in the design of Liver-on-Chip microdevices. Annual Review of Biomedical Engineering, 21, 219-239.
Fowler, S., Chen, W. L. K., Duignan, D. B., Gupta, A., Hariparsad, N., Kenny, J. R., Lai, W. G., Liras, J., Phillips, J. A., & Gan, J. (2020). Microphysiological systems for ADME-related applications: Current status and recommendations for system development and characterization. Lab on a Chip, 20, 446-467.
Frith, M. C., Hamada, M., & Horton, P. (2010). Parameters for accurate genome alignment. BMC Bioinformatics, 11, 80.
Ge, S. X., Son, E. W., & Yao, R. (2018). iDEP: An integrated web application for differential expression and pathway analysis of RNA-Seq data. BMC Bioinformatics, 19, 534.
Godoy, P., Hewitt, N. J., Albrecht, U., Andersen, M. E., Ansari, N., Bhattacharya, S., Bode, J. G., Bolleyn, J., Borner, C., Böttger, J., Braeuning, A., Budinsky, R. A., Burkhardt, B., Cameron, N. R., Camussi, G., Cho, C. S., Choi, Y. J., Craig Rowlands, J., Dahmen, U., … Hengstler, J. G. (2013). Recent advances in 2D and 3D in vitro systems using primary hepatocytes, alternative hepatocyte sources and non-parenchymal liver cells and their use in investigating mechanisms of hepatotoxicity, cell signaling and ADME. Archives of Toxicology, 87, 1315-1530.
Haberle, V., Forrest, A. R. R., Hayashizaki, Y., Carninci, P., & Lenhard, B. (2015). CAGEr: Precise TSS data retrieval and high-resolution promoterome mining for integrative analyses. Nucleic Acids Research, 43, e51.
Hallifax, D., Foster, J. A., & Houston, J. B. (2010). Prediction of human metabolic clearance from in vitro systems: Retrospective analysis and prospective view. Pharmaceutical research, 27, 2150-2161.
Halpern, K. B., Shenhav, R., Massalha, H., Toth, B., Egozi, A., Massasa, E. E., Medgalia, C., David, E., Giladi, A., Moor, A. E., Porat, Z., Amit, I., & Itzkovitz, S. (2018). Paired-cell sequencing enables spatial gene expression mapping of liver endothelial cells. Nature Biotechnology, 36, 962-970.
Halpern, K. B., Shenhav, R., Matcovitch-Natan, O., Tóth, B., Lemze, D., Golan, M., Massasa, E. E., Baydatch, S., Landen, S., Moor, A. E., Brandis, A., Giladi, A., Stokar-Avihail, A., David, E., Amit, I., & Itzkovitz, S. (2017). Single-cell spatial reconstruction reveals global division of labour in the mammalian liver. Nature, 542, 352-356.
Jungermann, K., & Kietzmann, T. (2000). Oxygen: Modulator of metabolic zonation and disease of the liver. Hepatology, 31, 255-260.
Jungermann, K., & Sasse, D. (1978). Heterogeneity of liver parenchymal cells. Trends in Biochemical Sciences, 3, 198-202.
Kawanishi, T., Arakawa, H., Masuo, Y., Nakamichi, N., & Kato, Y. (2019). Bile duct obstruction leads to increased intestinal expression of breast cancer resistance protein with reduced gastrointestinal absorption of imatinib. Journal of Pharmaceutical Sciences, 108, 3130-3137.
Khetani, S. R., & Bhatia, S. N. (2008). Microscale culture of human liver cells for drug development. Nature Biotechnology, 26, 120-126.
Kietzmann, T. (2017). Metabolic zonation of the liver: The oxygen gradient revisited. Redox Biology, 11, 622-630.
Kietzmann, T. (2019). Liver zonation in health and disease: Hypoxia and hypoxia-inducible transcription factors as concert masters. International Journal of Molecular Sciences, 20, 2347.
Kilford, P. J., Gertz, M., Houston, J. B., & Galetin, A. (2008). Hepatocellular binding of drugs: Correction for unbound fraction in hepatocyte incubations using microsomal binding or drug lipophilicity data. Drug Metabolism and Disposition, 36, 1194-1197.
Kim, A. R., I1 Park, J., Oh, H. T., Kim, K. M., Hwang, J. H., Jeong, M. G., Kim, E. H., Hwang, E. S., & Hong, J. H. (2019). TAZ stimulates liver regeneration through interleukin-6-induced hepatocyte proliferation and inhibition of cell death after liver injury. The FASEB Journal, 33, 5914-5923.
Lassmann, T. (2015). TagDust2: A generic method to extract reads from sequencing data. BMC Bioinformatics, 16, 24.
LeCluyse, E. L., Witek, R. P., Andersen, M. E., & Powers, M. J. (2012). Organotypic liver culture models: Meeting current challenges in toxicity testing. Critical Reviews in Toxicology, 42, 501-548.
Lee, H. J., Ewere, A., Diaz, M. F., & Wenzel, P. L. (2018). TAZ responds to fluid shear stress to regulate the cell cycle. Cell Cycle, 17, 147-153.
Lee-Montiel, F. T., George, S. M., Gough, A. H., Sharma, A. D., Wu, J., DeBiasio, R., Vernetti, L. A., & Taylor, D. L. (2017). Control of oxygen tension recapitulates zone-specific functions in human liver microphysiology systems. Experimental Biology and Medicine, 242, 1617-1632.
Lin, C., & Khetani, S. R. (2016). Advances in engineered liver models for investigating drug-induced liver injury. BioMed Research International, 2016, 1-20.
Lombardo, F., Berellini, G., & Obach, R. S. (2018). Trend analysis of a database of intravenous pharmacokinetic parameters in humans for 1352 drug compounds. Drug Metabolism and Disposition, 46, 1466-1477.
Lorenz, L., Axnick, J., Buschmann, T., Henning, C., Urner, S., Fang, S., Nurmi, H., Eichhorst, N., Holtmeier, R., Bódis, K., Hwang, J. H., Müssig, K., Eberhard, D., Stypmann, J., Kuss, O., Roden, M., Alitalo, K., Häussinger, D., & Lammert, E. (2018). Mechanosensing by β1 integrin induces angiocrine signals for liver growth and survival. Nature, 562, 128-132.
Love, M. I., Huber, W., & Anders, S. (2014). Moderated estimation of fold change and dispersion for RNA-seq data with DESeq. 2. Genome Biology, 15, 550.
MacParland, S. A., Liu, J. C., Ma, X. Z., Innes, B. T., Bartczak, A. M., Gage, B. K., Manuel, J., Khuu, N., Echeverri, J., Linares, I., Gupta, R., Cheng, M. L., Liu, L. Y., Camat, D., Chung, S. W., Seliga, R. K., Shao, Z., Lee, E., Ogawa, S., … McGilvray, I. D. (2018). Single cell RNA sequencing of human liver reveals distinct intrahepatic macrophage populations. Nature Communications, 9, 4383.
Matsumoto, M. (1999). Vortex shedding of bluff bodies: A review. Journal of Fluids and Structures, 13, 791-811.
Matsumoto, S., Safitri, A. R., Danoy, M., Maekawa, T., Kinoshita, H., Shinohara, M., Sakai, Y., Fujii, T., & Leclerc, E. (2019). Investigation of the hepatic respiration and liver zonation on rat hepatocytes using an integrated oxygen biosensor in a microscale device. Biotechnology Progress, 35, 1-13.
Myte, R., Gylling, B., Schneede, J., Ueland, P. M., Häggström, J., Hultdin, J., Hallmans, G., Johansson, I., Palmqvist, R., & Van Guelpen, B. (2016). Components of one-carbon metabolism other than folate and colorectal cancer risk. Epidemiology, 27, 787-796.
Nahmias, Y., Schwartz, R. E., Hu, W. S., Verfaillie, C. M., & Odde, D. J. (2006). Endothelium-mediated hepatocyte recruitment in the establishment of liver-like tissue in vitro. Tissue Engineering, 12, 1627-1638.
Pang, Z., Chong, J., Zhou, G., de Lima Morais, D. A., Chang, L., Barrette, M., Gauthier, C., Jacques, P. É., Li, S., & Xia, J. (2021). MetaboAnalyst 5.0: Narrowing the gap between raw spectra and functional insights. Nucleic Acids Research, 49, W388-W396.
Patel, S. H., Camargo, F. D., & Yimlamai, D. (2017). Hippo signaling in the liver regulates organ size, cell fate, and carcinogenesis. Gastroenterology, 152, 533-545.
Piergiovanni, M., Bianchi, E., Capitani, G., Li Piani, I., Ganzer, L., Guidotti, L. G., Iannacone, M., & Dubini, G. (2017). Microcirculation in the murine liver: A computational fluid dynamic model based on 3D reconstruction from in vivo microscopy. Journal of Biomechanics, 63, 125-134.
Plessy, C., Bertin, N., Takahashi, H., Simone, R., Salimullah, M., Lassmann, T., Vitezic, M., Severin, J., Olivarius, S., Lazarevic, D., Hornig, N., Orlando, V., Bell, I., Gao, H., Dumais, J., Kapranov, P., Wang, H., Davis, C. A., Gingeras, T. R., … Carninci, P. (2010). Linking promoters to functional transcripts in small samples with nanoCAGE and CAGEscan. Nature Methods, 7, 528-534.
Poulain, S., Kato, S., Arnaud, O., Morlighem, J. E., Suzuki, M., Plessy, C., & Harbers, M. (2017). NanoCAGE: A method for the analysis of coding and noncoding 5′-capped transcriptomes. Methods in Molecular Biology, 1543, 57-109.
Preziosi, M., Okabe, H., Poddar, M., Singh, S., & Monga, S. P. (2018). Endothelial Wnts regulate β-catenin signaling in murine liver zonation and regeneration: A sequel to the Wnt-Wnt situation. Hepatology Communications, 2, 845-860.
Raasch, M., Rennert, K., Jahn, T., Peters, S., Henkel, T., Huber, O., Schulz, I., Becker, H., Lorkowski, S., Funke, H., & Mosig, A. (2015). Microfluidically supported biochip design for culture of endothelial cell layers with improved perfusion conditions. Biofabrication, 7, 015013.
Rashidi, H., Alhaque, S., Szkolnicka, D., Flint, O., & Hay, D. C. (2016). Fluid shear stress modulation of hepatocyte-like cell function. Archives of Toxicology, 90, 1757-1761.
Rennert, K., Steinborn, S., Gröger, M., Ungerböck, B., Jank, A. M., Ehgartner, J., Nietzsche, S., Dinger, J., Kiehntopf, M., Funke, H., Peters, F. T., Lupp, A., Gärtner, C., Mayr, T., Bauer, M., Huber, O., & Mosig, A. S. (2015). A microfluidically perfused three dimensional human liver model. Biomaterials, 71, 119-131.
Rosenzweig, A., Blenis, J., & Gomes, A. P. (2018). Beyond the warburg effect: How do cancer cells regulate One-Carbon metabolism? Frontiers in Cell and Developmental Biology, 6, 1-7.
Scheidecker, B., Shinohara, M., Sugimoto, M., Danoy, M., Nishikawa, M., & Sakai, Y. (2020). Induction of in vitro metabolic zonation in primary hepatocytes requires both near-physiological oxygen concentration and flux. Frontiers in Bioengineering and Biotechnology, 8, 1-17.
Serras, A. S., Rodrigues, J. S., Cipriano, M., Rodrigues, A. V., Oliveira, N. G., & Miranda, J. P. (2021). A critical perspective on 3D liver models for drug metabolism and toxicology studies. Frontiers in Cell and Developmental Biology, 9, 1-30.
Siggers, J. H., Leungchavaphongse, K., Ho, C. H., & Repetto, R. (2014). Mathematical model of blood and interstitial flow and lymph production in the liver. Biomechanics and Modeling in Mechanobiology, 13, 363-378.
Soga, T., Igarashi, K., Ito, C., Mizobuchi, K., Zimmermann, H. P., & Tomita, M. (2009). Metabolomic profiling of anionic metabolites by capillary electrophoresis mass spectrometry. Analytical Chemistry, 81, 6165-6174.
Song, Z., Gupta, K., Ng, I. C., Xing, J., Yang, Y. A., & Yu, H. (2017). Mechanosensing in liver regeneration. Seminars in Cell & Developmental Biology, 71, 153-167.
Starokozhko, V., & Groothuis, G. M. M. (2017). Judging the value of ‘liver-on-a-chip’ devices for prediction of toxicity. Expert Opinion on Drug Metabolism & Toxicology, 13, 125-128.
Sullivan, J. P., Gordon, J. E., Bou-Akl, T., Matthew, H. W. T., & Palmer, A. F. (2007). Enhanced oxygen delivery to primary hepatocytes within a hollow fiber bioreactor facilitated via hemoglobin-based oxygen carriers. Artificial Cells, Blood Substitutes, and Biotechnology, 35, 585-606.
Tilles, A. W., Baskaran, H., Roy, P., Yarmush, M. L., & Toner, M. (2001). Effects of oxygenation and flow on the viability and function of rat hepatocytes cocultured in a microchannel flat-plate bioreactor. Biotechnology and Bioengineering, 73, 379-389.
Tonon, F., Giobbe, G. G., Zambon, A., Luni, C., Gagliano, O., Floreani, A., Grassi, G., & Elvassore, N. (2019). In vitro metabolic zonation through oxygen gradient on a chip. Scientific Reports, 9, 13557.
Vernetti, L. A., Senutovitch, N., Boltz, R., DeBiasio, R., Ying Shun, T., Gough, A., & Taylor, D. L. (2016). A human liver microphysiology platform for investigating physiology, drug safety, and disease models. Experimental Biology and Medicine, 241, 101-114.
Vinken, M., & Hengstler, J. G. (2018). Characterization of hepatocyte-based in vitro systems for reliable toxicity testing. Archives of Toxicology, 92, 2981-2986.
Wang, L., Wang, X., Xie, G., Wang, L., Hill, C. K., & DeLeve, L. D. (2012). Liver sinusoidal endothelial cell progenitor cells promote liver regeneration in rats. Journal of Clinical Investigation, 122, 1567-1573.
Wang, P. F., Neiner, A., & Kharasch, E. D. (2020). Stereoselective bupropion hydroxylation by cytochrome P450 CYP2B6 and cytochrome P450 oxidoreductase genetic variants. Drug Metabolism and Disposition, 48, 438-445.
Wengrowski, A. M., Kuzmiak-Glancy, S., Jaimes, R., & Kay, M. W. (2014). NADH changes during hypoxia, ischemia, and increased work differ between isolated heart preparations. American Journal of Physiology-Heart and Circulatory Physiology, 306, H529-H537.
White, D., Coombe, D., Rezania, V., & Tuszynski, J. (2016). Building a 3D virtual liver: Methods for simulating blood flow and hepatic clearance on 3D structures. PLoS One, 11, e0162215.
Wu, M.-H., Huang, S.-B., & Lee, G.-B. (2010). Microfluidic cell culture systems for drug research. Lab on a Chip, 10, 939.
Xiao, W., Perry, G., Komori, K., & Sakai, Y. (2015). New physiologically-relevant liver tissue model based on hierarchically cocultured primary rat hepatocytes with liver endothelial cells. Integrative Biology, 7, 1412-1422.
Xiao, W., Shinohara, M., Komori, K., Sakai, Y., Matsui, H., & Osada, T. (2014). The importance of physiological oxygen concentrations in the sandwich cultures of rat hepatocytes on gas-permeable membranes. Biotechnology Progress, 30, 1401-1410.
Yang, J., Mowry, L. E., Nejak-Bowen, K. N., Okabe, H., Diegel, C. R., Lang, R. A., Williams, B. O., & Monga, S. P. (2014). Beta-catenin signaling in murine liver zonation and regeneration: A Wnt-Wnt situation!. Hepatology, 60, 964-976.

Auteurs

Benedikt Scheidecker (B)

Department of Chemical System Engineering, University of Tokyo, Tokyo, Japan.

Stéphane Poulain (S)

Institute of Industrial Science, University of Tokyo, Tokyo, Japan.

Masahiro Sugimoto (M)

Institute for Advanced Biosciences, Keio University, Yamagata, Japan.
Institute of Medical Science, Tokyo Medical University, Tokyo, Japan.

Hiroshi Arakawa (H)

Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa, Japan.

Soo H Kim (SH)

Institute of Industrial Science, University of Tokyo, Tokyo, Japan.

Takumi Kawanishi (T)

Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa, Japan.

Yukio Kato (Y)

Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa, Japan.

Mathieu Danoy (M)

Department of Chemical System Engineering, University of Tokyo, Tokyo, Japan.

Masaki Nishikawa (M)

Department of Chemical System Engineering, University of Tokyo, Tokyo, Japan.

Yasuyuki Sakai (Y)

Department of Chemical System Engineering, University of Tokyo, Tokyo, Japan.

Classifications MeSH