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Musah S, Bhattacharya R, Himmelfarb J. Kidney Disease Modeling with Organoids and Organs-on-Chips. Annu Rev Biomed Eng 2024; 26:383-414. [PMID: 38424088 DOI: 10.1146/annurev-bioeng-072623-044010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/02/2024]
Abstract
Kidney disease is a global health crisis affecting more than 850 million people worldwide. In the United States, annual Medicare expenditures for kidney disease and organ failure exceed $81 billion. Efforts to develop targeted therapeutics are limited by a poor understanding of the molecular mechanisms underlying human kidney disease onset and progression. Additionally, 90% of drug candidates fail in human clinical trials, often due to toxicity and efficacy not accurately predicted in animal models. The advent of ex vivo kidney models, such as those engineered from induced pluripotent stem (iPS) cells and organ-on-a-chip (organ-chip) systems, has garnered considerable interest owing to their ability to more accurately model tissue development and patient-specific responses and drug toxicity. This review describes recent advances in developing kidney organoids and organ-chips by harnessing iPS cell biology to model human-specific kidney functions and disease states. We also discuss challenges that must be overcome to realize the potential of organoids and organ-chips as dynamic and functional conduits of the human kidney. Achieving these technological advances could revolutionize personalized medicine applications and therapeutic discovery for kidney disease.
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Affiliation(s)
- Samira Musah
- Department of Biomedical Engineering, Pratt School of Engineering, Duke University, Durham, North Carolina, USA;
- Division of Nephrology, Department of Medicine, Duke University School of Medicine, Durham, North Carolina, USA
- Center for Biomolecular and Tissue Engineering, Duke University, Durham, North Carolina, USA
- Developmental and Stem Cell Biology Program and Department of Cell Biology, Duke University, Durham, North Carolina, USA
| | - Rohan Bhattacharya
- Department of Biomedical Engineering, Pratt School of Engineering, Duke University, Durham, North Carolina, USA;
- Center for Biomolecular and Tissue Engineering, Duke University, Durham, North Carolina, USA
| | - Jonathan Himmelfarb
- Department of Medicine, Kidney Research Institute, and Division of Nephrology, University of Washington School of Medicine, Seattle, Washington, USA;
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Yin DE, Palin AC, Lombo TB, Mahon RN, Poon B, Wu DY, Atala A, Brooks KM, Chen S, Coyne CB, D’Souza MP, Fackler OT, Furler O’Brien RL, Garcia-de-Alba C, Jean-Philippe P, Karn J, Majji S, Muotri AR, Ozulumba T, Sakatis MZ, Schlesinger LS, Singh A, Spiegel HM, Struble E, Sung K, Tagle DA, Thacker VV, Tidball AM, Varthakavi V, Vunjak-Novakovic G, Wagar LE, Yeung CK, Ndhlovu LC, Ott M. 3D human tissue models and microphysiological systems for HIV and related comorbidities. Trends Biotechnol 2024; 42:526-543. [PMID: 38071144 PMCID: PMC11065605 DOI: 10.1016/j.tibtech.2023.10.008] [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: 07/03/2023] [Revised: 10/22/2023] [Accepted: 10/24/2023] [Indexed: 03/03/2024]
Abstract
Three-dimensional (3D) human tissue models/microphysiological systems (e.g., organs-on-chips, organoids, and tissue explants) model HIV and related comorbidities and have potential to address critical questions, including characterization of viral reservoirs, insufficient innate and adaptive immune responses, biomarker discovery and evaluation, medical complexity with comorbidities (e.g., tuberculosis and SARS-CoV-2), and protection and transmission during pregnancy and birth. Composed of multiple primary or stem cell-derived cell types organized in a dedicated 3D space, these systems hold unique promise for better reproducing human physiology, advancing therapeutic development, and bridging the human-animal model translational gap. Here, we discuss the promises and achievements with 3D human tissue models in HIV and comorbidity research, along with remaining barriers with respect to cell biology, virology, immunology, and regulatory issues.
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Bahrami F, Rossi RM, De Nys K, Joerger M, Radenkovic MC, Defraeye T. Implementing physics-based digital patient twins to tailor the switch of oral morphine to transdermal fentanyl patches based on patient physiology. Eur J Pharm Sci 2024; 195:106727. [PMID: 38360153 DOI: 10.1016/j.ejps.2024.106727] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Revised: 12/20/2023] [Accepted: 02/12/2024] [Indexed: 02/17/2024]
Abstract
Fentanyl transdermal patches are widely implemented for cancer-induced pain treatment due to the high potency of fentanyl and gradual drug release. However, transdermal fentanyl up-titration for opioid-naïve patients is difficult, which is why opioid treatment is often started with oral/iv morphine. Based on the daily dose of morphine, the initial dose of the fentanyl patch is decided upon. After reaching a stable level of pain, the switch is made from oral/iv morphine to transdermal fentanyl. There are standard calculation tools for transferring from oral/iv morphine to transdermal fentanyl, which is the same for all patients. By considering the variations in the physiology of the patients, a unique switching strategy cannot meet the needs of different patients. This study explores the outcome in terms of pain relief and minute ventilation during opioid therapy. For this, we used physics-based simulations on a virtually-generated population of patients, and we applied the same therapy to all patients. We could show that patients' physiology, such as gender, age, and weight, greatly impact the outcome of the therapy; as such, the correlation coefficient between pain intensity and age is 0.89, and the correlation coefficient between patient's weight and maximum plasma concentration of morphine and fentanyl is -0.98 and -0.97. Additionally, a different combination of the duration of overlap between morphine and fentanyl therapy with different doses of fentanyl was considered for the virtual patients to find the best opioid-switching strategy for each patient. We explored the impact of combining physiological features to determine the best-suited strategy for virtual patients. Our findings suggest that tailoring morphine and fentanyl therapy only based on a limited number of features is insufficient, and increasing the number of impactful physiological features positively influences the outcome of the therapy.
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Affiliation(s)
- Flora Bahrami
- Laboratory for Biomimetic Membranes and Textiles, Empa, Swiss Federal Laboratories for Materials Science and Technology, Lerchenfeldstrasse 5, St. Gallen CH-9014, Switzerland; ARTORG Center for Biomedical Engineering Research, University of Bern, Mittelstrasse 43, Bern CH-3012, Switzerland
| | - René Michel Rossi
- Laboratory for Biomimetic Membranes and Textiles, Empa, Swiss Federal Laboratories for Materials Science and Technology, Lerchenfeldstrasse 5, St. Gallen CH-9014, Switzerland
| | - Katelijne De Nys
- Kantonsspital St. Gallen, Palliativzentrum, Rorschacherstrasse 95, St. Gallen CH-9000, Switzerland; Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, ON2 Herestraat 49 - box 424, Leuven BE-3000, Belgium
| | - Markus Joerger
- Kantonsspital St. Gallen, Medizinische Onkologie und Hämatologie, Rorschacherstrasse 95, St. Gallen CH-9000, Switzerland
| | - Milena Cukic Radenkovic
- Laboratory for Biomimetic Membranes and Textiles, Empa, Swiss Federal Laboratories for Materials Science and Technology, Lerchenfeldstrasse 5, St. Gallen CH-9014, Switzerland
| | - Thijs Defraeye
- Laboratory for Biomimetic Membranes and Textiles, Empa, Swiss Federal Laboratories for Materials Science and Technology, Lerchenfeldstrasse 5, St. Gallen CH-9014, Switzerland.
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Chang SY, Huang W, Chapron A, Quiñones AJL, Wang J, Isoherranen N, Shen DD, Kelly EJ, Himmelfarb J, Yeung CK. Incorporating Uremic Solute-mediated Inhibition of OAT1/3 Improves PBPK Prediction of Tenofovir Renal and Systemic Disposition in Patients with Severe Kidney Disease. Pharm Res 2023; 40:2597-2606. [PMID: 37704895 DOI: 10.1007/s11095-023-03594-x] [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: 05/30/2023] [Accepted: 08/23/2023] [Indexed: 09/15/2023]
Abstract
BACKGROUND Dose modification of renally secreted drugs in patients with chronic kidney disease (CKD) has relied on serum creatinine concentration as a biomarker to estimate glomerular filtration (GFR) under the assumption that filtration and secretion decline in parallel. A discrepancy between actual renal clearance and predicted renal clearance based on GFR alone is observed in severe CKD patients with tenofovir, a compound secreted by renal OAT1/3. Uremic solutes that inhibit OAT1/3 may play a role in this divergence. METHODS To examine the impact of transporter inhibition by uremic solutes on tenofovir renal clearance, we determined the inhibitory potential of uremic solutes hippuric acid, indoxyl sulfate, and p-cresol sulfate. The inhibition parameters (IC50) were incorporated into a previously validated mechanistic kidney model; simulated renal clearance and plasma PK profile were compared to data from clinical studies. RESULTS Without the incorporation of uremic solute inhibition, the PBPK model failed to capture the observed data with an absolute average fold error (AAFE) > 2. However, when the inhibition of renal uptake transporters and uptake transporters in the slow distribution tissues were included, the AAFE value was within the pre-defined twofold model acceptance criterion, demonstrating successful model extrapolation to CKD patients. CONCLUSION A PBPK model that incorporates inhibition by uremic solutes has potential to better predict renal clearance and systemic disposition of secreted drugs in patients with CKD. Ongoing research is warranted to determine if the model can be expanded to include other OAT1/3 substrate drugs and to evaluate how these findings can be translated to clinical guidance for drug selection and dose optimization in patients with CKD.
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Affiliation(s)
- Shih-Yu Chang
- Department of Pharmacy, School of Pharmacy, University of Washington, 1959 NE Pacific St. H375, Box 357630, Seattle, WA, 98195, USA
- Janssen Research and Development, Raritan, NJ, USA
| | - Weize Huang
- Department of Pharmaceutics, School of Pharmacy, University of Washington, Seattle, WA, 98195, USA
- Genentech Inc, South San Francisco, CA, USA
| | - Alenka Chapron
- Department of Pharmaceutics, School of Pharmacy, University of Washington, Seattle, WA, 98195, USA
| | - Antonio J López Quiñones
- Department of Pharmaceutics, School of Pharmacy, University of Washington, Seattle, WA, 98195, USA
- Revolution Medicines, San Francisco, CA, USA
| | - Joanne Wang
- Department of Pharmaceutics, School of Pharmacy, University of Washington, Seattle, WA, 98195, USA
| | - Nina Isoherranen
- Department of Pharmaceutics, School of Pharmacy, University of Washington, Seattle, WA, 98195, USA
| | - Danny D Shen
- Department of Pharmaceutics, School of Pharmacy, University of Washington, Seattle, WA, 98195, USA
| | - Edward J Kelly
- Department of Pharmaceutics, School of Pharmacy, University of Washington, Seattle, WA, 98195, USA
- Division of Nephrology, Department of Medicine, Kidney Research Institute, University of Washington, Seattle, WA, 98195, USA
| | - Jonathan Himmelfarb
- Division of Nephrology, Department of Medicine, Kidney Research Institute, University of Washington, Seattle, WA, 98195, USA
| | - Catherine K Yeung
- Department of Pharmacy, School of Pharmacy, University of Washington, 1959 NE Pacific St. H375, Box 357630, Seattle, WA, 98195, USA.
- Division of Nephrology, Department of Medicine, Kidney Research Institute, University of Washington, Seattle, WA, 98195, USA.
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Caetano-Pinto P, Stahl SH. Renal Organic Anion Transporters 1 and 3 In Vitro: Gone but Not Forgotten. Int J Mol Sci 2023; 24:15419. [PMID: 37895098 PMCID: PMC10607849 DOI: 10.3390/ijms242015419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 10/12/2023] [Accepted: 10/17/2023] [Indexed: 10/29/2023] Open
Abstract
Organic anion transporters 1 and 3 (OAT1 and OAT3) play a crucial role in kidney function by regulating the secretion of multiple renally cleared small molecules and toxic metabolic by-products. Assessing the activity of these transporters is essential for drug development purposes as they can significantly impact drug disposition and safety. OAT1 and OAT3 are amongst the most abundant drug transporters expressed in human renal proximal tubules. However, their expression is lost when cells are isolated and cultured in vitro, which is a persistent issue across all human and animal renal proximal tubule cell models, including primary cells and cell lines. Although it is well known that the overall expression of drug transporters is affected in vitro, the underlying reasons for the loss of OAT1 and OAT3 are still not fully understood. Nonetheless, research into the regulatory mechanisms of these transporters has provided insights into the molecular pathways underlying their expression and activity. In this review, we explore the regulatory mechanisms that govern the expression and activity of OAT1 and OAT3 and investigate the physiological changes that proximal tubule cells undergo and that potentially result in the loss of these transporters. A better understanding of the regulation of these transporters could aid in the development of strategies, such as introducing microfluidic conditions or epigenetic modification inhibitors, to improve their expression and activity in vitro and to create more physiologically relevant models. Consequently, this will enable more accurate assessment for drug development and safety applications.
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Affiliation(s)
- Pedro Caetano-Pinto
- Department of Urology, University Medicine Greifswald, Ferdinand-Sauerbruch-Straße, 17475 Greifswald, Germany
| | - Simone H. Stahl
- CVRM Safety, Clinical Pharmacology and Safety Sciences, R&D, AstraZeneca, 310 Darwin Building, Cambridge Science Park, Milton Road, Cambridge CB4 0WG, UK;
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Nguyen VVT, Gkouzioti V, Maass C, Verhaar MC, Vernooij RWM, van Balkom BWM. A systematic review of kidney-on-a-chip-based models to study human renal (patho-)physiology. Dis Model Mech 2023; 16:dmm050113. [PMID: 37334839 DOI: 10.1242/dmm.050113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Accepted: 05/04/2023] [Indexed: 06/21/2023] Open
Abstract
As kidney diseases affect ∼10% of the world population, understanding the underlying mechanisms and developing therapeutic interventions are of high importance. Although animal models have enhanced knowledge of disease mechanisms, human (patho-)physiology may not be adequately represented in animals. Developments in microfluidics and renal cell biology have enabled the development of dynamic models to study renal (patho-)physiology in vitro. Allowing inclusion of human cells and combining different organ models, such as kidney-on-a-chip (KoC) models, enable the refinement and reduction of animal experiments. We systematically reviewed the methodological quality, applicability and effectiveness of kidney-based (multi-)organ-on-a-chip models, and describe the state-of-the-art, strengths and limitations, and opportunities regarding basic research and implementation of these models. We conclude that KoC models have evolved to complex models capable of mimicking systemic (patho-)physiological processes. Commercial chips and human induced pluripotent stem cells and organoids are important for KoC models to study disease mechanisms and assess drug effects, even in a personalized manner. This contributes to the Reduction, Refinement and Replacement of animal models for kidney research. A lack of reporting of intra- and inter-laboratory reproducibility and translational capacity currently hampers implementation of these models.
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Affiliation(s)
- Vivian V T Nguyen
- Department of Nephrology and Hypertension, UMC Utrecht, 3584CX Utrecht, The Netherlands
| | - Vasiliki Gkouzioti
- Department of Nephrology and Hypertension, UMC Utrecht, 3584CX Utrecht, The Netherlands
| | | | - Marianne C Verhaar
- Department of Nephrology and Hypertension, UMC Utrecht, 3584CX Utrecht, The Netherlands
| | - Robin W M Vernooij
- Department of Nephrology and Hypertension, UMC Utrecht, 3584CX Utrecht, The Netherlands
- Julius Center for Health Sciences and Primary Care, UMC Utrecht, Utrecht University, 3584CX Utrecht, The Netherlands
| | - Bas W M van Balkom
- Department of Nephrology and Hypertension, UMC Utrecht, 3584CX Utrecht, The Netherlands
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Fu X, Zhang Y. Research progress of p38 as a new therapeutic target against morphine tolerance and the current status of therapy of morphine tolerance. J Drug Target 2023; 31:152-165. [PMID: 36264036 DOI: 10.1080/1061186x.2022.2138895] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
With the development of the medical industry, new painkillers continue to appear in people's field of vision, but so far no painkiller can replace morphine. While morphine has a strong analgesic effect, it is also easy to produce pain sensitivity and tolerance. Due to the great inter-individual differences in patient responses, there are few clear instructions on how to optimise morphine administration regimens, which complicates clinicians' treatment strategies and limits the effectiveness of morphine in long-term pain therapy. P38MAPK is a key member of the MAPK family. Across recent years, it has been discovered that p38MAPK rises dramatically in a wide range of morphine tolerance animal models. Morphine tolerance can be reduced or reversed by inhibiting p38MAPK. However, the role and specific mechanism of p38MAPK are not clear. In this review, we synthesise the relevant findings, highlight the function and potential mechanism of p38MAPK in morphine tolerance, as well as the present status and efficacy of morphine tolerance therapy, and underline the future promise of p38MAPK targeted morphine tolerance treatment.
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Affiliation(s)
- Xiao Fu
- Inner Mongolia Medical University, Hohhot, China
| | - Yanhong Zhang
- Department of Anesthesiology, People's Hospital Affiliated to Inner Mongolia Medical University, Hohhot, China
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8
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Fairman K, Choi MK, Gonnabathula P, Lumen A, Worth A, Paini A, Li M. An Overview of Physiologically-Based Pharmacokinetic Models for Forensic Science. TOXICS 2023; 11:126. [PMID: 36851001 PMCID: PMC9964742 DOI: 10.3390/toxics11020126] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Revised: 12/16/2022] [Accepted: 01/25/2023] [Indexed: 06/18/2023]
Abstract
A physiologically-based pharmacokinetic (PBPK) model represents the structural components of the body with physiologically relevant compartments connected via blood flow rates described by mathematical equations to determine drug disposition. PBPK models are used in the pharmaceutical sector for drug development, precision medicine, and the chemical industry to predict safe levels of exposure during the registration of chemical substances. However, one area of application where PBPK models have been scarcely used is forensic science. In this review, we give an overview of PBPK models successfully developed for several illicit drugs and environmental chemicals that could be applied for forensic interpretation, highlighting the gaps, uncertainties, and limitations.
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Affiliation(s)
- Kiara Fairman
- Division of Biochemical Toxicology, National Center for Toxicological Research, United States Food and Drug Administration, Jefferson, AR 72079, USA
| | - Me-Kyoung Choi
- Division of Biochemical Toxicology, National Center for Toxicological Research, United States Food and Drug Administration, Jefferson, AR 72079, USA
| | - Pavani Gonnabathula
- Division of Biochemical Toxicology, National Center for Toxicological Research, United States Food and Drug Administration, Jefferson, AR 72079, USA
| | - Annie Lumen
- Division of Biochemical Toxicology, National Center for Toxicological Research, United States Food and Drug Administration, Jefferson, AR 72079, USA
| | - Andrew Worth
- European Commission, Joint Research Centre (JRC), 21027 Ispra, Italy
| | | | - Miao Li
- Division of Biochemical Toxicology, National Center for Toxicological Research, United States Food and Drug Administration, Jefferson, AR 72079, USA
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9
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Witkowski J, Polak S, Pawelec D, Rogulski Z. In Vitro/In Vivo Translation of Synergistic Combination of MDM2 and MEK Inhibitors in Melanoma Using PBPK/PD Modelling: Part III. Int J Mol Sci 2023; 24:ijms24032239. [PMID: 36768563 PMCID: PMC9917191 DOI: 10.3390/ijms24032239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 01/17/2023] [Accepted: 01/19/2023] [Indexed: 01/24/2023] Open
Abstract
The development of in vitro/in vivo translational methods and a clinical trial framework for synergistically acting drug combinations are needed to identify optimal therapeutic conditions with the most effective therapeutic strategies. We performed physiologically based pharmacokinetic-pharmacodynamic (PBPK/PD) modelling and virtual clinical trial simulations for siremadlin, trametinib, and their combination in a virtual representation of melanoma patients. In this study, we built PBPK/PD models based on data from in vitro absorption, distribution, metabolism, and excretion (ADME), and in vivo animals' pharmacokinetic-pharmacodynamic (PK/PD) and clinical data determined from the literature or estimated by the Simcyp simulator (version V21). The developed PBPK/PD models account for interactions between siremadlin and trametinib at the PK and PD levels. Interaction at the PK level was predicted at the absorption level based on findings from animal studies, whereas PD interaction was based on the in vitro cytotoxicity results. This approach, combined with virtual clinical trials, allowed for the estimation of PK/PD profiles, as well as melanoma patient characteristics in which this therapy may be noninferior to the dabrafenib and trametinib drug combination. PBPK/PD modelling, combined with virtual clinical trial simulation, can be a powerful tool that allows for proper estimation of the clinical effect of the above-mentioned anticancer drug combination based on the results of in vitro studies. This approach based on in vitro/in vivo extrapolation may help in the design of potential clinical trials using siremadlin and trametinib and provide a rationale for their use in patients with melanoma.
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Affiliation(s)
- Jakub Witkowski
- Faculty of Chemistry, University of Warsaw, Pasteura 1, 02-093 Warsaw, Poland
- Adamed Pharma S.A., Adamkiewicza 6a, 05-152 Czosnów, Poland
- Correspondence:
| | - Sebastian Polak
- Faculty of Pharmacy, Jagiellonian University, Medyczna 9, 30-688 Krakow, Poland
- Simcyp Division, Certara UK Limited, Level 2-Acero, 1 Concourse Way, Sheffield S1 2BJ, UK
| | | | - Zbigniew Rogulski
- Faculty of Chemistry, University of Warsaw, Pasteura 1, 02-093 Warsaw, Poland
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The next frontier in ADME science: Predicting transporter-based drug disposition, tissue concentrations and drug-drug interactions in humans. Pharmacol Ther 2022; 238:108271. [DOI: 10.1016/j.pharmthera.2022.108271] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2022] [Revised: 08/05/2022] [Accepted: 08/17/2022] [Indexed: 12/25/2022]
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11
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Mahadeo A, Yeung CK, Himmelfarb J, Kelly EJ. Kidney microphysiological models for nephrotoxicity assessment. CURRENT OPINION IN TOXICOLOGY 2022; 30:100341. [PMID: 35495549 PMCID: PMC9053105 DOI: 10.1016/j.cotox.2022.03.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
Nephrotoxicity testing is an important step in preclinical development of new molecular entities (NMEs) and has traditionally been performed in 2-D cell culture systems and animal models. However, 2-D culture systems fail to replicate complex in vivo microenvironment and animal models face interspecies differences including the overexpression of drug transporters. In the last decade, 3-D microphysiological systems (MPS) have been developed to address these concerns. Here, we review recent advancements in kidney MPS and their application in drug-induced toxicity testing and kidney disease research. We find that current research is making significant progress addressing MPS limitations such as throughput, incorporating various regions of the nephron such as the glomerulus, and successfully modeling and predicting clinically relevant nephrotoxicity of current and new drugs.
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Affiliation(s)
- Anish Mahadeo
- Department of Pharmaceutics, University of Washington, Seattle, WA
| | - Catherine K Yeung
- Department of Pharmacy, University of Washington, Seattle, WA
- The Kidney Research Institute, University of Washington, Seattle, WA
| | | | - Edward J Kelly
- Department of Pharmaceutics, University of Washington, Seattle, WA
- The Kidney Research Institute, University of Washington, Seattle, WA
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12
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Gabel F, Hovhannisyan V, Berkati AK, Goumon Y. Morphine-3-Glucuronide, Physiology and Behavior. Front Mol Neurosci 2022; 15:882443. [PMID: 35645730 PMCID: PMC9134088 DOI: 10.3389/fnmol.2022.882443] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Accepted: 04/26/2022] [Indexed: 11/13/2022] Open
Abstract
Morphine remains the gold standard painkiller available to date to relieve severe pain. Morphine metabolism leads to the production of two predominant metabolites, morphine-3-glucuronide (M3G) and morphine-6-glucuronide (M6G). This metabolism involves uridine 5′-diphospho-glucuronosyltransferases (UGTs), which catalyze the addition of a glucuronide moiety onto the C3 or C6 position of morphine. Interestingly, M3G and M6G have been shown to be biologically active. On the one hand, M6G produces potent analgesia in rodents and humans. On the other hand, M3G provokes a state of strong excitation in rodents, characterized by thermal hyperalgesia and tactile allodynia. Its coadministration with morphine or M6G also reduces the resulting analgesia. Although these behavioral effects show quite consistency in rodents, M3G effects are much more debated in humans and the identity of the receptor(s) on which M3G acts remains unclear. Indeed, M3G has little affinity for mu opioid receptor (MOR) (on which morphine binds) and its effects are retained in the presence of naloxone or naltrexone, two non-selective MOR antagonists. Paradoxically, MOR seems to be essential to M3G effects. In contrast, several studies proposed that TLR4 could mediate M3G effects since this receptor also appears to be essential to M3G-induced hyperalgesia. This review summarizes M3G’s behavioral effects and potential targets in the central nervous system, as well as the mechanisms by which it might oppose analgesia.
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Affiliation(s)
- Florian Gabel
- CNRS UPR 3212, Institut des Neurosciences Cellulaires et Intégratives, Centre National de la Recherche Scientifique and University of Strasbourg, Strasbourg, France
| | - Volodya Hovhannisyan
- CNRS UPR 3212, Institut des Neurosciences Cellulaires et Intégratives, Centre National de la Recherche Scientifique and University of Strasbourg, Strasbourg, France
| | - Abdel-Karim Berkati
- CNRS UPR 3212, Institut des Neurosciences Cellulaires et Intégratives, Centre National de la Recherche Scientifique and University of Strasbourg, Strasbourg, France
| | - Yannick Goumon
- CNRS UPR 3212, Institut des Neurosciences Cellulaires et Intégratives, Centre National de la Recherche Scientifique and University of Strasbourg, Strasbourg, France
- SMPMS, Mass Spectrometry Facilities of the CNRS UPR 3212, Institut des Neurosciences Cellulaires et Intégratives, Centre National de la Recherche Scientifique, Strasbourg, France
- *Correspondence: Yannick Goumon,
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