1
|
Arjmandi H, Kanebratt KP, Vilén L, Gennemark P, Noel A. 3D cell aggregates amplify diffusion signals. PLoS One 2024; 19:e0310109. [PMID: 39264935 DOI: 10.1371/journal.pone.0310109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Accepted: 08/23/2024] [Indexed: 09/14/2024] Open
Abstract
Biophysical models can predict the behavior of cell cultures including 3D cell aggregates (3DCAs), thereby reducing the need for costly and time-consuming experiments. Specifically, mass transfer models enable studying the transport of nutrients, oxygen, signaling molecules, and drugs in 3DCA. These models require the defining of boundary conditions (BC) between the 3DCA and surrounding medium. However, accurately modeling the BC that relates the inner and outer boundary concentrations at the border between the 3DCA and the medium remains a challenge that this paper addresses using both theoretical and experimental methods. The provided biophysical analysis indicates that the concentration of molecules inside boundary is higher than that at the outer boundary, revealing an amplification factor that is confirmed by a particle-based simulator (PBS). Due to the amplification factor, the PBS confirms that when a 3DCA with a low concentration of target molecules is introduced to a culture medium with a higher concentration, the molecule concentration in the medium rapidly decreases. The theoretical model and PBS simulations were used to design a pilot experiment with liver spheroids as the 3DCA and glucose as the target molecule. Experimental results agree with the proposed theory and derived properties.
Collapse
Affiliation(s)
- Hamidreza Arjmandi
- Department of Cancer and Genomic Sciences, College of Medicine and Health, University of Birmingham, Birmingham, United Kingdom
| | - Kajsa P Kanebratt
- Drug Metabolism and Pharmacokinetics, Research and Early Development, Cardiovascular, Renal and Metabolism (CVRM), AstraZeneca, Gothenburg, Sweden
| | - Liisa Vilén
- Drug Metabolism and Pharmacokinetics, Research and Early Development, Cardiovascular, Renal and Metabolism (CVRM), AstraZeneca, Gothenburg, Sweden
| | - Peter Gennemark
- Drug Metabolism and Pharmacokinetics, Research and Early Development, Cardiovascular, Renal and Metabolism (CVRM), AstraZeneca, Gothenburg, Sweden
- Department of Biomedical Engineering, Linköping University, Linköping, Sweden
| | - Adam Noel
- School of Engineering, University of Warwick, Coventry, United Kingdom
| |
Collapse
|
2
|
Rigal S, Casas B, Kanebratt KP, Wennberg Huldt C, Magnusson LU, Müllers E, Karlsson F, Clausen M, Hansson SF, Leonard L, Cairns J, Jansson Löfmark R, Ämmälä C, Marx U, Gennemark P, Cedersund G, Andersson TB, Vilén LK. Normoglycemia and physiological cortisone level maintain glucose homeostasis in a pancreas-liver microphysiological system. Commun Biol 2024; 7:877. [PMID: 39025915 PMCID: PMC11258270 DOI: 10.1038/s42003-024-06514-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2023] [Accepted: 06/26/2024] [Indexed: 07/20/2024] Open
Abstract
Current research on metabolic disorders and diabetes relies on animal models because multi-organ diseases cannot be well studied with standard in vitro assays. Here, we have connected cell models of key metabolic organs, the pancreas and liver, on a microfluidic chip to enable diabetes research in a human-based in vitro system. Aided by mechanistic mathematical modeling, we demonstrate that hyperglycemia and high cortisone concentration induce glucose dysregulation in the pancreas-liver microphysiological system (MPS), mimicking a diabetic phenotype seen in patients with glucocorticoid-induced diabetes. In this diseased condition, the pancreas-liver MPS displays beta-cell dysfunction, steatosis, elevated ketone-body secretion, increased glycogen storage, and upregulated gluconeogenic gene expression. Conversely, a physiological culture condition maintains glucose tolerance and beta-cell function. This method was reproducible in two laboratories and was effective in multiple pancreatic islet donors. The model also provides a platform to identify new therapeutic proteins, as demonstrated with a combined transcriptome and proteome analysis.
Collapse
Affiliation(s)
| | - Belén Casas
- Drug Metabolism and Pharmacokinetics, Research and Early Development, Cardiovascular, Renal and Metabolism (CVRM), BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden
- Department of Biomedical Engineering, Linköping University, Linköping, Sweden
| | - Kajsa P Kanebratt
- Drug Metabolism and Pharmacokinetics, Research and Early Development, Cardiovascular, Renal and Metabolism (CVRM), BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden
| | - Charlotte Wennberg Huldt
- Bioscience Metabolism, Research and Early Development, Cardiovascular, Renal and Metabolism (CVRM), BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden
| | - Lisa U Magnusson
- Bioscience Cardiovascular, Research and Early Development, Cardiovascular, Renal and Metabolism (CVRM), BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden
| | - Erik Müllers
- Bioscience Cardiovascular, Research and Early Development, Cardiovascular, Renal and Metabolism (CVRM), BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden
| | - Fredrik Karlsson
- Data Sciences and Quantitative Biology, Discovery Sciences, R&D, AstraZeneca, Gothenburg, Sweden
| | - Maryam Clausen
- Translational Genomics, Discovery Biology, Discovery Sciences, R&D, AstraZeneca, Gothenburg, Sweden
| | - Sara F Hansson
- Translational Science and Experimental Medicine, Research and Early Development, Cardiovascular, Renal and Metabolism (CVRM), BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden
| | - Louise Leonard
- Data Sciences and Quantitative Biology, Discovery Sciences, R&D, AstraZeneca, Gothenburg, Sweden
| | - Jonathan Cairns
- Data Sciences and Quantitative Biology, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK
| | - Rasmus Jansson Löfmark
- Drug Metabolism and Pharmacokinetics, Research and Early Development, Cardiovascular, Renal and Metabolism (CVRM), BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden
| | - Carina Ämmälä
- Bioscience Metabolism, Research and Early Development, Cardiovascular, Renal and Metabolism (CVRM), BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden
| | | | - Peter Gennemark
- Drug Metabolism and Pharmacokinetics, Research and Early Development, Cardiovascular, Renal and Metabolism (CVRM), BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden
- Department of Biomedical Engineering, Linköping University, Linköping, Sweden
| | - Gunnar Cedersund
- Department of Biomedical Engineering, Linköping University, Linköping, Sweden
- Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
| | - Tommy B Andersson
- Drug Metabolism and Pharmacokinetics, Research and Early Development, Cardiovascular, Renal and Metabolism (CVRM), BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden
| | - Liisa K Vilén
- Drug Metabolism and Pharmacokinetics, Research and Early Development, Cardiovascular, Renal and Metabolism (CVRM), BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden.
- Division of Pharmaceutical Biosciences, Drug Research Program, Faculty of Pharmacy, University of Helsinki, Helsinki, Finland.
| |
Collapse
|
3
|
Osonoi S, Takebe T. Organoid-guided precision hepatology for metabolic liver disease. J Hepatol 2024; 80:805-821. [PMID: 38237864 PMCID: PMC11828489 DOI: 10.1016/j.jhep.2024.01.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 12/28/2023] [Accepted: 01/02/2024] [Indexed: 03/09/2024]
Abstract
Metabolic dysfunction-associated steatotic liver disease affects millions of people worldwide. Progress towards a definitive cure has been incremental and treatment is currently limited to lifestyle modification. Hepatocyte-specific lipid accumulation is the main trigger of lipotoxic events, driving inflammation and fibrosis. The underlying pathology is extraordinarily heterogenous, and the manifestations of steatohepatitis are markedly influenced by metabolic communications across non-hepatic organs. Synthetic human tissue models have emerged as powerful platforms to better capture the mechanistic diversity in disease progression, while preserving person-specific genetic traits. In this review, we will outline current research efforts focused on integrating multiple synthetic tissue models of key metabolic organs, with an emphasis on organoid-based systems. By combining functional genomics and population-scale en masse profiling methodologies, human tissues derived from patients can provide insights into personalised genetic, transcriptional, biochemical, and metabolic states. These collective efforts will advance our understanding of steatohepatitis and guide the development of rational solutions for mechanism-directed diagnostic and therapeutic investigation.
Collapse
Affiliation(s)
- Sho Osonoi
- Center for Stem Cell and Organoid Medicine (CuSTOM), Division of Gastroenterology, Hepatology and Nutrition, Division of Developmental Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA; Department of Endocrinology and Metabolism, Hirosaki University Graduate School of Medicine, Hirosaki, 036-8562, Japan
| | - Takanori Takebe
- Center for Stem Cell and Organoid Medicine (CuSTOM), Division of Gastroenterology, Hepatology and Nutrition, Division of Developmental Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH 45229, USA; WPI Premium Institute for Human Metaverse Medicine (WPI-PRIMe) and Department of Genome Biology, Graduate School of Medicine, Osaka University, Osaka, 565-0871, Japan; Institute of Research, Tokyo Medical and Dental University (TMDU), Tokyo 113-8510, Japan; Communication Design Center, Advanced Medical Research Center, Yokohama City University, Yokohama 236-0004, Japan.
| |
Collapse
|
4
|
Aizenshtadt A, Wang C, Abadpour S, Menezes PD, Wilhelmsen I, Dalmao‐Fernandez A, Stokowiec J, Golovin A, Johnsen M, Combriat TMD, Røberg‐Larsen H, Gadegaard N, Scholz H, Busek M, Krauss SJK. Pump-Less, Recirculating Organ-on-Chip (rOoC) Platform to Model the Metabolic Crosstalk between Islets and Liver. Adv Healthc Mater 2024; 13:e2303785. [PMID: 38221504 PMCID: PMC11468483 DOI: 10.1002/adhm.202303785] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 12/05/2023] [Indexed: 01/16/2024]
Abstract
Type 2 diabetes mellitus (T2DM), obesity, and metabolic dysfunction-associated steatotic liver disease (MASLD) are epidemiologically correlated disorders with a worldwide growing prevalence. While the mechanisms leading to the onset and development of these conditions are not fully understood, predictive tissue representations for studying the coordinated interactions between central organs that regulate energy metabolism, particularly the liver and pancreatic islets, are needed. Here, a dual pump-less recirculating organ-on-chip platform that combines human pluripotent stem cell (sc)-derived sc-liver and sc-islet organoids is presented. The platform reproduces key aspects of the metabolic cross-talk between both organs, including glucose levels and selected hormones, and supports the viability and functionality of both sc-islet and sc-liver organoids while preserving a reduced release of pro-inflammatory cytokines. In a model of metabolic disruption in response to treatment with high lipids and fructose, sc-liver organoids exhibit hallmarks of steatosis and insulin resistance, while sc-islets produce pro-inflammatory cytokines on-chip. Finally, the platform reproduces known effects of anti-diabetic drugs on-chip. Taken together, the platform provides a basis for functional studies of obesity, T2DM, and MASLD on-chip, as well as for testing potential therapeutic interventions.
Collapse
Affiliation(s)
- Aleksandra Aizenshtadt
- Hybrid Technology Hub Centre of ExcellenceInstitute of Basic Medical ScienceUniversity of OsloP.O. Box 1110Oslo0317Norway
- Dep. of Immunology and Transfusion MedicineOslo University HospitalP.O. Box 4950Oslo0424Norway
| | - Chencheng Wang
- Hybrid Technology Hub Centre of ExcellenceInstitute of Basic Medical ScienceUniversity of OsloP.O. Box 1110Oslo0317Norway
- Dep. of Transplantation MedicineExperimental Cell Transplantation Research GroupOslo University HospitalP.O. Box 4950Oslo0424Norway
| | - Shadab Abadpour
- Hybrid Technology Hub Centre of ExcellenceInstitute of Basic Medical ScienceUniversity of OsloP.O. Box 1110Oslo0317Norway
- Dep. of Transplantation MedicineExperimental Cell Transplantation Research GroupOslo University HospitalP.O. Box 4950Oslo0424Norway
- Institute for Surgical ResearchOslo University HospitalOsloNorway
| | - Pedro Duarte Menezes
- Hybrid Technology Hub Centre of ExcellenceInstitute of Basic Medical ScienceUniversity of OsloP.O. Box 1110Oslo0317Norway
- James Watt School of EngineeringUniversity of GlasgowRankine BuildingGlasgowG12 8LTUK
| | - Ingrid Wilhelmsen
- Hybrid Technology Hub Centre of ExcellenceInstitute of Basic Medical ScienceUniversity of OsloP.O. Box 1110Oslo0317Norway
- Dep. of Immunology and Transfusion MedicineOslo University HospitalP.O. Box 4950Oslo0424Norway
| | - Andrea Dalmao‐Fernandez
- Hybrid Technology Hub Centre of ExcellenceInstitute of Basic Medical ScienceUniversity of OsloP.O. Box 1110Oslo0317Norway
- Department of PharmacyFaculty of Mathematics and Natural SciencesUniversity of OsloP.O. Box 1083Oslo0316Norway
| | - Justyna Stokowiec
- Hybrid Technology Hub Centre of ExcellenceInstitute of Basic Medical ScienceUniversity of OsloP.O. Box 1110Oslo0317Norway
- Dep. of Immunology and Transfusion MedicineOslo University HospitalP.O. Box 4950Oslo0424Norway
| | - Alexey Golovin
- Hybrid Technology Hub Centre of ExcellenceInstitute of Basic Medical ScienceUniversity of OsloP.O. Box 1110Oslo0317Norway
- Dep. of Immunology and Transfusion MedicineOslo University HospitalP.O. Box 4950Oslo0424Norway
| | - Mads Johnsen
- Section for Chemical Life SciencesDepartment of ChemistryUniversity of OsloP.O. Box 1033Oslo0315Norway
| | - Thomas M. D. Combriat
- Hybrid Technology Hub Centre of ExcellenceInstitute of Basic Medical ScienceUniversity of OsloP.O. Box 1110Oslo0317Norway
| | - Hanne Røberg‐Larsen
- Hybrid Technology Hub Centre of ExcellenceInstitute of Basic Medical ScienceUniversity of OsloP.O. Box 1110Oslo0317Norway
- Section for Chemical Life SciencesDepartment of ChemistryUniversity of OsloP.O. Box 1033Oslo0315Norway
| | - Nikolaj Gadegaard
- Hybrid Technology Hub Centre of ExcellenceInstitute of Basic Medical ScienceUniversity of OsloP.O. Box 1110Oslo0317Norway
- James Watt School of EngineeringUniversity of GlasgowRankine BuildingGlasgowG12 8LTUK
| | - Hanne Scholz
- Hybrid Technology Hub Centre of ExcellenceInstitute of Basic Medical ScienceUniversity of OsloP.O. Box 1110Oslo0317Norway
- Dep. of Transplantation MedicineExperimental Cell Transplantation Research GroupOslo University HospitalP.O. Box 4950Oslo0424Norway
| | - Mathias Busek
- Hybrid Technology Hub Centre of ExcellenceInstitute of Basic Medical ScienceUniversity of OsloP.O. Box 1110Oslo0317Norway
- Dep. of Immunology and Transfusion MedicineOslo University HospitalP.O. Box 4950Oslo0424Norway
| | - Stefan J. K. Krauss
- Hybrid Technology Hub Centre of ExcellenceInstitute of Basic Medical ScienceUniversity of OsloP.O. Box 1110Oslo0317Norway
- Dep. of Immunology and Transfusion MedicineOslo University HospitalP.O. Box 4950Oslo0424Norway
| |
Collapse
|
5
|
Liu J, Du Y, Xiao X, Tan D, He Y, Qin L. Construction of in vitro liver-on-a-chip models and application progress. Biomed Eng Online 2024; 23:33. [PMID: 38491482 PMCID: PMC10941602 DOI: 10.1186/s12938-024-01226-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Accepted: 02/29/2024] [Indexed: 03/18/2024] Open
Abstract
The liver is the largest internal organ of the human body. It has a complex structure and function and plays a vital role in drug metabolism. In recent decades, extensive research has aimed to develop in vitro models that can simulate liver function to demonstrate changes in the physiological and pathological environment of the liver. Animal models and in vitro cell models are common, but the data obtained from animal models lack relevance when applied to humans, while cell models have limited predictive ability for metabolism and toxicity in humans. Recent advancements in tissue engineering, biomaterials, chip technology, and 3D bioprinting have provided opportunities for further research in in vitro models. Among them, liver-on-a-Chip (LOC) technology has made significant achievements in reproducing the in vivo behavior, physiological microenvironment, and metabolism of cells and organs. In this review, we discuss the development of LOC and its research progress in liver diseases, hepatotoxicity tests, and drug screening, as well as chip combinations. First, we review the structure and the physiological function of the liver. Then, we introduce the LOC technology, including general concepts, preparation materials, and methods. Finally, we review the application of LOC in disease modeling, hepatotoxicity tests, drug screening, and chip combinations, as well as the future challenges and directions of LOC.
Collapse
Affiliation(s)
- Jie Liu
- Guizhou Engineering Research Center of Industrial Key-Technology for Dendrobium Nobile, School of Pharmacy, Zunyi Medical University, Zunyi, 563000, China
- The Second Affiliated Hospital of Zunyi Medical University, Zunyi, 563000, China
| | - Yimei Du
- Guizhou Engineering Research Center of Industrial Key-Technology for Dendrobium Nobile, School of Pharmacy, Zunyi Medical University, Zunyi, 563000, China
- Joint International Research Laboratory of Ethnomedicine of Ministry of Education, Zunyi Medical University, Zunyi, 563000, Guizhou, China
| | - Xinxin Xiao
- Guizhou Engineering Research Center of Industrial Key-Technology for Dendrobium Nobile, School of Pharmacy, Zunyi Medical University, Zunyi, 563000, China
| | - Daopeng Tan
- Guizhou Engineering Research Center of Industrial Key-Technology for Dendrobium Nobile, School of Pharmacy, Zunyi Medical University, Zunyi, 563000, China
- Joint International Research Laboratory of Ethnomedicine of Ministry of Education, Zunyi Medical University, Zunyi, 563000, Guizhou, China
| | - Yuqi He
- Guizhou Engineering Research Center of Industrial Key-Technology for Dendrobium Nobile, School of Pharmacy, Zunyi Medical University, Zunyi, 563000, China.
- Joint International Research Laboratory of Ethnomedicine of Ministry of Education, Zunyi Medical University, Zunyi, 563000, Guizhou, China.
| | - Lin Qin
- Guizhou Engineering Research Center of Industrial Key-Technology for Dendrobium Nobile, School of Pharmacy, Zunyi Medical University, Zunyi, 563000, China.
- Joint International Research Laboratory of Ethnomedicine of Ministry of Education, Zunyi Medical University, Zunyi, 563000, Guizhou, China.
| |
Collapse
|