Nutrient environment improves drug metabolic activity in human iPSC-derived hepatocytes and HepG2
Open accessAbstract
Induced pluripotent stem cells (iPSCs) have emerged as a transformative tool in regenerative medicine, in liver research. The perspective of a stable and functional source of hepatocytes has led to developing protocols for human iPSC-derived hepatocytes-like cells (HLCs). Yet, hepatic models remain one of most challenging systems to functionally reproduce with iPSCs, due to its resulting limited metabolic function. Using an adapted nutrient regimen, two human hepatocyte models were characterized: HLCs (derived from iPSCs) and metabolically active HepG2 (mHepG2, derived from the cell line HepG2), for their drug metabolism activity. In these cell systems, the transcriptome, proteome, and metabolome of 11 drug-relevant cytochrome P450 (CYP) isoenzymes were studied. A liquid chromatography–mass spectrometry (LC–MS)-based metabolomics approach, using model drugs as isoenzyme reporters, was applied, achieving a comprehensive overview of mHepG2 and HLCs drug metabolism. Drugs used in this study to characterize xenobiotic machinery were: bupropion (25 µM), phenacetin (30 µM), rosiglitazone (10 µM), diclofenac (75 µM), dextromethorphan (15 µM), chlorzoxazone (60 µM), midazolam (15 µM), benzydamine (15 µM), coumarin (250 µM) and 7-ethoxycoumarin (60 µM). Being HepG2 notorious for its limited metabolic capacity, our study raises mHepG2 as a highly performant cell model, with activity on 8 drug-metabolizing CYPs. Modulation by nutrient environment in improving metabolic function of in vitro models is here proven as a key determinant. Likewise, HLCs hold the widest CYP coverage at the transcript level and were able to cope with a wide variety of chemical insults, making them a promising model for personalized metabolic studies.
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Under amino acid-enriched conditions, a metabolically active HepG2 (mHepG2) variant has been described that exhibits activity of eight drug-metabolizing CYPs (CYP1A2, 2A6, 2B6, 2C8, 2C9, 2D6, 2E1, and 3A4), as confirmed at the transcriptional, proteomic, and metabolic levels; however, this system requires a lengthy preparation period (22 days of cultivation) and does not eliminate the line's tumor
“Under amino acid-enriched conditions, a metabolically active HepG2 (mHepG2) variant has been described that exhibits activity of eight drug-metabolizing CYPs (CYP1A2, 2A6, 2B6, 2C8, 2C9, 2D6, 2E1, and 3A4), as confirmed at the transcriptional, proteomic, and metabolic levels. However, this system requires a lengthy preparation period (22 days of cultivation) and does not eliminate the line’s tumor”
From The HepG2 Cell Line as a Model for Studying Metabolic Dysfunction-Associated Steatotic Liver Disease (2026) · cites this paper as [168]
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Cites
Highly efficient generation of human hepatocyte-like cells from induced pluripotent stem cells
Si-Tayeb, K., Noto, F. K., Nagaoka, M., Li, J., Battle, M. A., Duris, C., North, P. E., Dalton, S., & Duncan, S. A. (2010) · Hepatology · doi:10.1002/hep.23354 · Cited by 1,282 · see citing works
A deep proteome and transcriptome abundance atlas of 29 healthy human tissues
Wang, D., Eraslan, B., Wieland, T., Hallström, B., Hopf, T., Zolg, D. P., Zecha, J., Asplund, A., Li, L., Meng, C., et al. (2019) · Molecular Systems Biology · doi:10.15252/msb.20188503 · Cited by 750 · see citing works
Aninat, C., Piton, A., Glaise, D., Charpentier, T. L., Langouët, S., Morel, F., Guguen‐Guillouzo, C., & Guillouzo, A. (2005) · Drug Metabolism and Disposition · doi:10.1124/dmd.105.006759 · Cited by 708 · see citing works
Gerets, H. H. J., Tilmant, K., Gerin, B., Chanteux, H., Depelchin, B. O., Dhalluin, S., & Atienzar, F. A. (2012) · Cell Biology and Toxicology · doi:10.1007/s10565-011-9208-4 · Cited by 698 · see citing works
PHASE II DRUG METABOLIZING ENZYMES
Jancova, P., Anzenbacher, P., & Anzenbacherová, E. (2010) · Biomedical Papers · doi:10.5507/bp.2010.017 · Cited by 611 · see citing works
Esteves, F., Rueff, J., & Kranendonk, M. (2021) · Journal of Xenobiotics · doi:10.3390/jox11030007 · Cited by 522 · see citing works
FDA-approved drug labeling for the study of drug-induced liver injury
Chen, M., Vijay, V., Shi, Q., Liu, Z., Fang, H., & Tong, W. (2011) · Drug Discovery Today · doi:10.1016/j.drudis.2011.05.007 · Cited by 406 · see citing works
Diclofenac-induced liver injury: a paradigm of idiosyncratic drug toxicity
Boelsterli, U. (2003) · Toxicology and Applied Pharmacology · doi:10.1016/s0041-008x(03)00368-5 · Cited by 403 · see citing works
The Curious Case of the HepG2 Cell Line: 40 Years of Expertise
Arzumanian, V. A., Kiseleva, O. I., & Poverennaya, E. V. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms222313135 · Cited by 387 · see citing works
Mechanisms of drug-induced liver injury
Holt, M. R., & Ju, C. (2006) · The AAPS Journal · doi:10.1208/aapsj080106 · Cited by 329 · see citing works
Plant cytochrome P450 plasticity and evolution
Hansen, C. C., Nelson, D. R., Møller, B. L., & Werck‐Reichhart, D. (2021) · Molecular Plant · doi:10.1016/j.molp.2021.06.028 · Cited by 328 · see citing works
Andersson, T. B., Kanebratt, K. P., & Kenna, J. G. (2012) · Expert Opinion on Drug Metabolism & Toxicology · doi:10.1517/17425255.2012.685159 · Cited by 260 · see citing works
David, S., & Hamilton, J. P. (2010) · PubMed · Cited by 235 · see citing works
Minimising the potential for metabolic activation in drug discovery
Kalgutkar, A. S. S., & Soglia, J. R. (2005) · Expert Opinion on Drug Metabolism & Toxicology · doi:10.1517/17425255.1.1.91 · Cited by 233 · see citing works
Cox, P. J., Ryan, D. A., Hollis, F. J., Harris, A.-M., Miller, A. K., Vousden, M., & Cowley, H. (2000) · Drug Metabolism and Disposition · doi:10.1016/s0090-9556(24)15347-0 · Cited by 208 · see citing works
Aboul‐Soud, M. A. M., Alzahrani, A. J., & Mahmoud, A. (2021) · Cells · doi:10.3390/cells10092319 · Cited by 207 · see citing works
Pharmacology of dextromethorphan: Relevance to dextromethorphan/quinidine (Nuedexta®) clinical use
Taylor, C. P., Traynelis, S. F., Siffert, J. O., Pope, L. E., & Matsumoto, R. R. (2016) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2016.04.010 · Cited by 188 · see citing works
A Review of CYP-Mediated Drug Interactions: Mechanisms and In Vitro Drug-Drug Interaction Assessment
Lee, J., Beers, J. L., Geffert, R. M., & Jackson, K. D. (2024) · Biomolecules · doi:10.3390/biom14010099 · Cited by 177 · see citing works
Human hepatic 3D spheroids as a model for steatosis and insulin resistance
Kozyra, M., Johansson, I., Nordling, Å., Ullah, S., Lauschke, V. M., & Ingelman‐Sundberg, M. (2018) · Scientific Reports · doi:10.1038/s41598-018-32722-6 · Cited by 173 · see citing works
Vorrink, S. U., Ullah, S., Schmidt, S., Nandania, J., Velagapudi, V., Beck, O., Ingelman‐Sundberg, M., & Lauschke, V. M. (2017) · The FASEB Journal · doi:10.1096/fj.201601375r · Cited by 172 · see citing works
Cyclosporine A induces senescence in renal tubular epithelial cells
Jennings, P., Koppelstaetter, C., Aydin, S., Abberger, T., Wolf, A. M., Mayer, G. J., & Pfaller, W. (2007) · American Journal of Physiology-Renal Physiology · doi:10.1152/ajprenal.00005.2007 · Cited by 155 · see citing works
Self-citationA history of the roles of cytochrome P450 enzymes in the toxicity of drugs
Guengerich, F. P. (2020) · Toxicological Research · doi:10.1007/s43188-020-00056-z · Cited by 144 · see citing works
HepG2 cells as an in vitro model for evaluation of cytochrome P450 induction by xenobiotics
Choi, J. M., Oh, S. J., Lee, S. Y., Im, J. H., Oh, J. M., Ryu, C. S., Kwak, H. C., Lee, J.-Y., Kang, K. W., & Kim, S. K. (2014) · Archives of Pharmacal Research · doi:10.1007/s12272-014-0502-6 · Cited by 133 · see citing works
Fernández-Checa, J. C., Bagnaninchi, P., Ye, H., Sancho‐Bru, P., Falcón‐Pérez, J. M., Royo, F., García‐Ruiz, C., Konu, Ö., Miranda, J. P., Lunov, O., et al. (2021) · Journal of Hepatology · doi:10.1016/j.jhep.2021.06.021 · Cited by 129 · see citing works
Costa, R. S., Oliveira, N., & Dinis‐Oliveira, R. J. (2019) · Drug Metabolism Reviews · doi:10.1080/03602532.2019.1620763 · Cited by 126 · see citing works
Amino acid levels determine metabolism and CYP450 function of hepatocytes and hepatoma cell lines
Boon, R., Kumar, M., Tricot, T., Elia, I., Ordovás, L., Jacobs, F., One, J., Smedt, J. D., Eelen, G., Bird, M., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-15058-6 · Cited by 118 · see citing works
Self-citationEk, M., Söderdahl, T., Küppers-Munther, B., Edsbagge, J., Andersson, T. B., Björquist, P., Cotgreave, I. A., Jernström, B., Ingelman‐Sundberg, M., & Johansson, I. (2007) · Biochemical Pharmacology · doi:10.1016/j.bcp.2007.05.009 · Cited by 101 · see citing works
Spaggiari, D., Geiser, L., Daali, Y., & Rudaz, S. L. (2014) · Journal of Pharmaceutical and Biomedical Analysis · doi:10.1016/j.jpba.2014.03.018 · Cited by 100 · see citing works
The potential of induced pluripotent stem cell derived hepatocytes.
Hannoun, Z., Steichen, C., Dianat, N., Weber, A., & Dubart-Kupperschmitt, A. (2016) · Journal of Hepatology · doi:10.1016/j.jhep.2016.02.025 · Cited by 96 · see citing works
Comparing in vitro human liver models to in vivo human liver using RNA-Seq
Gupta, R., Schrooders, Y., Hauser, D. A., van Herwijnen, M. H. M., Albrecht, W., ter Braak, B., Brecklinghaus, T., Castell, J. V., Elenschneider, L., Escher, S. E., et al. (2020) · Archives of Toxicology · doi:10.1007/s00204-020-02937-6 · Cited by 94 · see citing works
Self-citationPoon, G. K., Chen, Q., Teffera, Y., Ngui, J. S., Griffin, P. R., Braun, M. P., Doss, G. A., Freeden, C., Stearns, R. A., Evans, D. C., et al. (2001) · PubMed · Cited by 91 · see citing works
Gómez‐Lechón, M. J., Tolosa, L., & Donato, M. T. (2015) · Journal of Applied Toxicology · doi:10.1002/jat.3277 · Cited by 87 · see citing works
Coumarin-Induced Hepatotoxicity: A Narrative Review
Pitaro, M., Croce, N., Gallo, V., Arienzo, A., Salvatore, G., & Antonini, G. (2022) · Molecules · doi:10.3390/molecules27249063 · Cited by 78 · see citing works
Dirven, H. A. A. M., Vist, G. E., Bandhakavi, S., Mehta, J., Fitch, S., Pound, P., Ram, R., Kincaid, B., Leenaars, C. H. C., Chen, M., et al. (2021) · Scientific Reports · doi:10.1038/s41598-021-85708-2 · Cited by 73 · see citing works
StemBANCC: Governing Access to Material and Data in a Large Stem Cell Research Consortium
Morrison, M. C., Klein, C., Clemann, N., Collier, D. A., Hardy, J., Heiβerer, B., Cader, M. Z., Graf, M. R., & Kaye, J. S. (2015) · Stem Cell Reviews and Reports · doi:10.1007/s12015-015-9599-3 · Cited by 66 · see citing works
Hruska, M. W., Amico, J. A., Langaee, T. Y., Ferrell, R. E., Fitzgerald, S. M., & Frye, R. F. (2004) · British Journal of Clinical Pharmacology · doi:10.1111/j.1365-2125.2005.02263.x · Cited by 61 · see citing works
Choudhury, Y., Toh, Y., Xing, J., Qu, Y., Poh, J., Li, H., Tan, H. S., Kanesvaran, R., Yu, H., & Tan, M. (2017) · Scientific Reports · doi:10.1038/srep41238 · Cited by 61 · see citing works
Through a glass, darkly? HepaRG and HepG2 cells as models of human phase I drug metabolism
Stanley, L. A., & Wolf, C. R. (2022) · Drug Metabolism Reviews · doi:10.1080/03602532.2022.2039688 · Cited by 60 · see citing works
Lang, D. H., Radtke, M., & Bairlein, M. (2019) · Chemical Research in Toxicology · doi:10.1021/acs.chemrestox.8b00413 · Cited by 59 · see citing works
Toxicological potential of acyl glucuronides and its assessment
Iwamura, A., Nakajima, M., Oda, S., & Yokoi, T. (2016) · Drug Metabolism and Pharmacokinetics · doi:10.1016/j.dmpk.2016.11.002 · Cited by 53 · see citing works
Weiß, F., Hammer, H., Klein, K., Planatscher, H., Zanger, U. M., Norén, A., Wegler, C., Artursson, P., Joos, T. O., & Poetz, O. (2018) · Drug Metabolism and Disposition · doi:10.1124/dmd.117.078626 · Cited by 49 · see citing works
Self-citationMechanistic Modeling to Predict Midazolam Metabolite Exposure from In Vitro Data
Nguyen, H., Kimoto, E., Callegari, E., & Obach, R. (2016) · Drug Metabolism And Disposition · doi:10.1124/dmd.115.068601 · Cited by 48 · see citing works
Regulation of Sulfotransferase and UDP‐Glucuronosyltransferase Gene Expression by the PPARs
Runge‐Morris, M., & Kocarek, T. A. (2009) · PPAR Research · doi:10.1155/2009/728941 · Cited by 45 · see citing works
Mechanisms of promiscuity among drug metabolizing enzymes and drug transporters
Atkins, W. M. (2019) · FEBS Journal · doi:10.1111/febs.15116 · Cited by 44 · see citing works
Chen, S., Wu, Q., Li, X., Li, D., Mei, N., Ning, B., Puig, M., Ren, Z., Tolleson, W. H., & Guo, L. (2021) · Journal of Environmental Science and Health, Part C · doi:10.1080/26896583.2021.1880242 · Cited by 44 · see citing works
Taniguchi-Takizawa, T., Shimizu, M., Kume, T., & Yamazaki, H. (2014) · Drug Metabolism and Pharmacokinetics · doi:10.1016/j.dmpk.2014.09.006 · Cited by 42 · see citing works
Yu, H., Sang, P., & Huan, T. (2022) · Analytical Chemistry · doi:10.1021/acs.analchem.2c00503 · Cited by 37 · see citing works
Quesnot, N., Bucher, S., Gade, C., Vlach, M., Vène, É., Valença, S. S., Gicquel, T., Holst, H. D., Robin, M., & Loyer, P. (2018) · Archives of Toxicology · doi:10.1007/s00204-018-2300-2 · Cited by 31 · see citing works
Fisher, M. B., Yoon, K., Vaughn, M. L., Strelevitz, T. J., & Foti, R. (2002) · Drug Metabolism and Disposition · doi:10.1124/dmd.30.10.1087 · Cited by 29 · see citing works
Malinowska, J. M., & Viant, M. R. (2019) · Current Opinion in Toxicology · doi:10.1016/j.cotox.2019.03.006 · Cited by 28 · see citing works
Viime: Visualization and Integration of Metabolomics Experiments
Choudhury, R., Beezley, J., Davis, B., Tomeck, J., Gratzl, S., Golzarri‐Arroyo, L., Wan, J., Raftery, D., Baumes, J., & O’Connell, T. M. (2020) · The Journal of Open Source Software · doi:10.21105/joss.02410 · Cited by 28 · see citing works
Future feed control – Tracing banned bovine material in insect meal
Belghit, I., Varunjikar, M. S., Lecrenier, M.-C., Steinhilber, A., Niedzwiecka, A., Wang, Y. V., Dieu, M., Azzollini, D., Lie, K. K., Lock, E.-J., et al. (2021) · Food Control · doi:10.1016/j.foodcont.2021.108183 · Cited by 28 · see citing works
Self-citationKudo, S., Umehara, K., Hosokawa, M., Miyamoto, G., Chiba, K., & Satoh, T. (2000) · Journal of Pharmacology and Experimental Therapeutics · doi:10.1016/s0022-3565(24)39042-1 · Cited by 25 · see citing works
Dekker, S. J., Zhang, Y., Vos, J. C., Vermeulen, N. P. E., & Commandeur, J. N. M. (2016) · Chemical Research in Toxicology · doi:10.1021/acs.chemrestox.6b00250 · Cited by 23 · see citing works
Vanhove, J., Pistoni, M., Welters, M., Eggermont, K., Vanslembrouck, V., Helsen, N., Boon, R., Najimi, M., Sokal, E. M., Collas, P., et al. (2016) · Stem Cell Reports · doi:10.1016/j.stemcr.2016.06.013 · Cited by 21 · see citing works
Self-citationDerivation and applications of human hepatocyte-like cells
Li, S., Huang, S., Zhao, Y., Ding, Y.-J., Ma, D., & Ding, Q. (2019) · World Journal of Stem Cells · doi:10.4252/wjsc.v11.i8.535 · Cited by 20 · see citing works
Sun, X., Ye, Y., Sun, J., Tang, L., Yang, X., & Sun, X. (2022) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2022.2131728 · Cited by 18 · see citing works
Okadaic acid influences xenobiotic metabolism in HepaRG cells
Wuerger, L. T. D., Hammer, H., Hofmann, U., Kudiabor, F., Sieg, H., & Braeuning, A. (2022) · EXCLI journal · doi:10.17179/excli2022-5033 · Cited by 17 · see citing works
Self-citationGhosh, S., Smedt, J. D., Tricot, T., Proença, S., Kumar, M., Nami, F., Vanwelden, T., Vidal, N., Jennings, P., Kramer, N. I., et al. (2021) · Toxics · doi:10.3390/toxics10010001 · Cited by 13 · see citing works
Self-citationMeijer, T., Pereira, D. D. C., Klatt, O. C., Buitenhuis, J., Jennings, P., & Wilmes, A. (2024) · Cells · doi:10.3390/cells13121008 · Cited by 13 · see citing works
Self-citationCapinha, L., Zhang, Y., Holzer, A., Ückert, A., Zana, M., Carta, G., Murphy, C., Baldovini, J., Mazidi, Z., Grillari, J., et al. (2022) · Archives of Toxicology · doi:10.1007/s00204-022-03436-6 · Cited by 12 · see citing works
Self-citationMukhopadhyay, B., Marietta, C. A., Shen, P., Oiseni, A., Mirshahi, F., Mazzu, M. A., Hodgkinson, C. A., Winkler, E., Yuan, Q., Miranda, D., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-47085-y · Cited by 12 · see citing works
Becker, D., Bharatam, P. V., & Gohlke, H. (2021) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.1c00558 · Cited by 10 · see citing works
Differentiation and Subculturing of Renal Proximal Tubular‐like Cells Derived from Human iPSC
Meijer, T., Naderlinger, E., Jennings, P., & Wilmes, A. (2023) · Current Protocols · doi:10.1002/cpz1.850 · Cited by 9 · see citing works
Self-citationFeng, W.-Y., Wen, J., & Stauber, K. L. (2018) · Drug Metabolism Letters · doi:10.2174/1872312812666180418142056 · Cited by 9 · see citing works
CYP3A4 and CYP3A5 Expression is Regulated by C YP3A4*1G in CRISPR/Cas9-Edited HepG2 Cells
Yang, W.-H., Zhao, H., Dou, Y., Wang, P., Chang, Q., Qiao, X., Wang, X., Xu, C., Zhang, Z., & Zhang, L. (2023) · Drug Metabolism and Disposition · doi:10.1124/dmd.122.001111 · Cited by 7 · see citing works
Evaluation of the impact of iPSC differentiation protocols on transcriptomic signatures
Chandrasekaran, V., Wellens, S., Bourguignon, A., Djidrovski, I., Fransen, L. F. H., Ghosh, S., Mazidi, Z., Murphy, C., Nunes, C., Singh, P., et al. (2024) · Toxicology in Vitro · doi:10.1016/j.tiv.2024.105826 · Cited by 2 · see citing works
Self-citationOne-Step Differentiation of Human-Induced Pluripotent Stem Cells into Podocytes
Naderlinger, E., Murphy, C., Feifel, E., Jennings, P., Gstraunthaler, G., & Wilmes, A. (2025) · Methods in molecular biology · doi:10.1007/978-1-0716-4530-7_4 · Cited by 1 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 1
- Guengerich FP (2005) Cytochrome P450, 4th edn. Springer, US, Boston, MA
Cited by
Sorted by citations
The HepG2 Cell Line as a Model for Studying Metabolic Dysfunction-Associated Steatotic Liver Disease
Kotlyarova, A., Iskrina, A., & Kotlyarov, S. (2026) · International journal of molecular sciences · doi:10.3390/ijms27083399 · Cited by 5 · see citing works
Application of stem cells in the precise diagnosis and treatment of liver diseases
Wang, Y.-X., Ren, Y.-N., Zhang, S.-S., Sun, S., Xu, M.-Y., Wei, T., & Zhang, L.-S. (2025) · World Journal of Gastroenterology · doi:10.3748/wjg.v31.i46.114415 · Cited by 2 · see citing works
Scanning central carbon metabolism: a HILIC-HR-TOF-MS metabolome method
Garcia, V. P., Ferro, V., Rier, J., & Moco, S. (2026) · Metabolomics · doi:10.1007/s11306-026-02434-4 · Cited by 2 · see citing works
Self-citationGarcia, V. P., Zhang, M., Çobanoğlu, T. S., Holm, K., Jennings, P., Poole, D. A., & Moco, S. (2025) · Archives of Toxicology · doi:10.1007/s00204-025-04248-0 · Cited by 1 · see citing works
Self-citationImproving hepatic metabolic function with 3D iPSC-derived human hepatocytes
Garcia, V. P., Kiamehr, M., Versteegden, R., Naderlinger, E., Jennings, P., Verfaillie, C. M., Vos, J. C., & Moco, S. (2026) · Cell Biology and Toxicology · doi:10.1007/s10565-026-10203-1 · Cited by 1 · see citing works
Self-citationJeyasingh, P. D., Hrdlicka, N., Baker, K., Sherman, R. E., & Minghetti, M. (2026) · Metallomics · doi:10.1093/mtomcs/mfag022 · Cited by 1 · see citing works
Wang, W., Chen, K., Chen, F., Sun, L., Tang, H.-H., Ding, W., Sun, F., & Wang, W. (2026) · Journal of Hepatocellular Carcinoma · doi:10.2147/jhc.s553710
Kroesen, M. D., Wagmann, L., Gehl, A.-L., Kiemer, A. K., & Meyer, M. R. (2026) · Archives of Toxicology · doi:10.1007/s00204-026-04444-6
Garcia, V. P., Çobanoğlu, T. S., Riga, K., Sharma, S., Jennings, P., Vos, J. C., & Moco, S. (2026) · iScience · doi:10.1016/j.isci.2026.116113
Self-citationDeng, B., Ma, Y., Huang, W. Y., Xian, X., Ding, Y., Lu, Y., Yang, Y., Guo, W., Mao, L., Wang, X., et al. (2026) · Science Advances · doi:10.1126/sciadv.aed7050
Impact of culture conditions on oxidative stress responses in HepG2 cells
Veltman, C. H. J., Pennings, J. L. A., van de Water, B., & Luijten, M. (2026) · NAM journal. · doi:10.1016/j.namjnl.2026.100113
Veltman, C. H. J., Zwart, E., Versluis, C., Khalidi, H., Pennings, J. L. A., Bouwmeester, M., & Luijten, M. (2026) · Toxicology · doi:10.1016/j.tox.2026.154564
A human iPSC-derived kidney–liver organ-on-a-chip platform for modeling inter-organ crosstalk
de Brouwer, L., Garcia, V. P., Kiamehr, M., Naderlinger, E., Çobanoğlu, T. S., Wagegg, B. A., Dehne, E., Verfaillie, C. M., Moco, S., Jennings, P., et al. (2026) · Lab on a Chip · doi:10.1039/d6lc00362a
Self-citationNg, N., Chan, S. W., Lim, A. K. Z., Eng, M. H., Mettu, V. S., & Lau, A. J. (2026) · Drug Metabolism and Disposition · doi:10.1016/j.dmd.2026.100397
Li, E.-C., Long, J., Yu, T., Qian, S., Qiu, F.-N., Liu, C.-L., Jiang, Y., & Li, H. (2026) · Food and Chemical Toxicology · doi:10.1016/j.fct.2026.116413
- Authors
- Pozo Garcia, V., Çobanoğlu, T. S., Hammer, H. S., Carlota, R., Holm, K., Verfaillie, C., Poetz, O., Jennings, P., & Moco, S.
- Affiliations
- Vrije Universiteit Amsterdam (NL)
- Signatope GmbH (Germany) (DE)
- Leuven Stem Cell Institute (BE)
- Natural and Medical Sciences Institute (DE)
- Corresponding author
- Moco, Sofia
- ORCID
- Venue
- Archives of Toxicology
- Published
- 2025-08-12
- Volume
- 99
- Issue
- 11
- Pages
- 4493-4511
- ISSN
- 0340-5761 (ISSN-L)
- 1432-0738
- PMC
- PMC12477091
- OpenAlex
- W4413109370
- Cited by
- 15
- References
- 68
- Citations by year
- 2026: 13 · 2025: 2
- FWCI
- 14.55
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Archives of Toxicology (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed (publishedVersion)
- PubMed Central (publishedVersion, cc-by)
- VU Research Portal (publishedVersion, cc-by)
- Funders
- EU RISK-HUNT3R (964537)
- Topics
- Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Pharmacology › Pharmacogenetics and Drug Metabolism
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Pluripotent Stem Cells Research
- Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Pharmacology › Drug-Induced Hepatotoxicity and Protection
- Keywords
- iPSC-derived hepatocytes, HepG2 cells, drug metabolism, cytochrome P450, nutrient environment, hepatocyte-like cells, metabolomics, xenobiotic metabolism
- MeSH terms
- Nutrients, Chromatography, Liquid, Cytochrome P-450 Enzyme System, Humans, Xenobiotics, Hepatocytes, Metabolomics, Metabolome, Hep G2 Cells, Induced Pluripotent Stem Cells, Transcriptome
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