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Mosca E, Federa A, Pirker C, Schosserer M, Liendl L, Eckhard M, Sombke A, Dömötör O, Kirchhofer D, Timelthaler G, Baier D, Gurschka P, Gabler L, Reithofer M, Chin JM, Elsayad K, Englinger B, Tahir A, Kowol CR, Berger W. The tyrosine kinase inhibitor Nintedanib induces lysosomal dysfunctionality: Role of protonation-dependent crystallization processes. Chem Biol Interact 2024; 403:111243. [PMID: 39284504 DOI: 10.1016/j.cbi.2024.111243] [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: 07/16/2024] [Revised: 09/04/2024] [Accepted: 09/11/2024] [Indexed: 10/21/2024]
Abstract
Nintedanib (NIN), a multi-tyrosine kinase inhibitor clinically approved for idiopathic pulmonary fibrosis and lung cancer, is characterized by protonation-dependent lysosomotropic behavior and appearance of lysosome-specific fluorescence emission properties. Here we investigate whether spontaneous formation of a so far unknown NIN matter within the acidic cell compartment is underlying these unexpected emissive properties and investigate the consequences on lysosome functionality. Lysosomes of cells treated with NIN, but not non-protonatable NIN derivatives, exhibited lysosome-associated birefringence signals co-localizing with the NIN-derived fluorescence emission. Sensitivity of both parameters towards vATPase inhibitors confirmed pH-dependent, spontaneous adoption of novel crystalline NIN structures in lysosomes. Accordingly, NIN crystallization from buffer solutions resulted in formation of multiple crystal polymorphs with pH-dependent fluorescence properties. Cell-free crystals grown at lysosomal-like pH conditions resembled NIN-treated cell lysosomes concerning fluorescence pattern, photobleaching dynamics, and Raman spectra. However, differences in birefringence intensity and FAIM-determined anisotropy, as well as predominant association with (intra)lysosomal membrane structures, suggested formation of a semi-solid NIN crystalline matter in acidic lysosomes. Despite comparable target kinase inhibition, NIN, but not its non-protonatable derivatives, impaired lysosomal functionality, mediated massive cell vacuolization, enhanced autophagy, deregulated lipid metabolism, and induced atypical phospholipidosis. Moreover, NIN exerted distinct phototoxicity, strictly dependent on lysosomal microcrystallization events. The spontaneous formation of NIN crystalline structures was also observable in the gut mucosa of orally NIN-treated mice. Summarizing, the here-described kinase inhibition-independent impact of NIN on lysosomal functionality mediates several of its cell biological activities and might contribute to NIN adverse effects.
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Affiliation(s)
- Elena Mosca
- Center of Cancer Research, Comprehensive Cancer Center, Medical University of Vienna, Borschkegasse 8a, 1090, Vienna, Austria
| | - Anja Federa
- Institute of Inorganic Chemistry, Faculty of Chemistry, University of Vienna, Währinger Straße 42, 1090, Vienna, Austria; Doctoral School in Chemistry (DoSChem), University of Vienna, Währinger Straße 40-42, 1090, Vienna, Austria
| | - Christine Pirker
- Center of Cancer Research, Comprehensive Cancer Center, Medical University of Vienna, Borschkegasse 8a, 1090, Vienna, Austria
| | - Markus Schosserer
- Center of Pathobiochemistry and Genetics, Medical University of Vienna, Währinger Straße 10, 1090, Vienna, Austria
| | - Lisa Liendl
- Institute of Molecular Biotechnology, Department of Biotechnology, University of Natural Resources and Life Sciences, Muthgasse 18, 1190, Vienna, Austria
| | - Margret Eckhard
- Center for Anatomy and Cell Biology, Cell and Developmental Biology, Medical University of Vienna, Schwarzspanierstrasse 17, 1090, Vienna, Austria
| | - Andy Sombke
- Center for Anatomy and Cell Biology, Cell and Developmental Biology, Medical University of Vienna, Schwarzspanierstrasse 17, 1090, Vienna, Austria
| | - Orsolya Dömötör
- Department of Molecular and Analytical Chemistry, Interdisciplinary Excellence Centre, University of Szeged, H-6720, Dóm Tér 7-8, Szeged, Hungary
| | - Dominik Kirchhofer
- Center of Cancer Research, Comprehensive Cancer Center, Medical University of Vienna, Borschkegasse 8a, 1090, Vienna, Austria
| | - Gerald Timelthaler
- Center of Cancer Research, Comprehensive Cancer Center, Medical University of Vienna, Borschkegasse 8a, 1090, Vienna, Austria
| | - Dina Baier
- Center of Cancer Research, Comprehensive Cancer Center, Medical University of Vienna, Borschkegasse 8a, 1090, Vienna, Austria; Institute of Inorganic Chemistry, Faculty of Chemistry, University of Vienna, Währinger Straße 42, 1090, Vienna, Austria; Research Cluster "Translational Cancer Therapy Research", Vienna, 1090, Austria
| | - Patrizia Gurschka
- Center of Cancer Research, Comprehensive Cancer Center, Medical University of Vienna, Borschkegasse 8a, 1090, Vienna, Austria; Department of Neurosurgery, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria
| | - Lisa Gabler
- Center of Cancer Research, Comprehensive Cancer Center, Medical University of Vienna, Borschkegasse 8a, 1090, Vienna, Austria; Department of Neurosurgery, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria
| | - Michael Reithofer
- Institute of Inorganic Chemistry, Faculty of Chemistry, University of Vienna, Währinger Straße 42, 1090, Vienna, Austria
| | - Jia Min Chin
- Department of Functional Materials and Catalysis, Währinger Straße 42, 1090, Vienna, Austria
| | - Kareem Elsayad
- Division of Anatomy, Center of Anatomy and Cell Biology, Medical University of Vienna, Währinger Straße 13, 1090, Vienna, Austria
| | - Bernhard Englinger
- Center of Cancer Research, Comprehensive Cancer Center, Medical University of Vienna, Borschkegasse 8a, 1090, Vienna, Austria; Department of Urology, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria
| | - Ammar Tahir
- Division of Pharmacognosy, Department of Pharmaceutical Sciences, Faculty of Life Sciences, University of Vienna, Josef-Holaubek-Platz 2, 1090, Vienna, Austria; Section of Biomedical Sciences, Department of Health Sciences, FH Campus Wien, University of Applied Sciences, Favoritenstraße 226, 1100, Vienna, Austria
| | - Christian R Kowol
- Institute of Inorganic Chemistry, Faculty of Chemistry, University of Vienna, Währinger Straße 42, 1090, Vienna, Austria.
| | - Walter Berger
- Center of Cancer Research, Comprehensive Cancer Center, Medical University of Vienna, Borschkegasse 8a, 1090, Vienna, Austria.
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Lou Z, Mu C, Corpstein CD, Li T. In vivo deposition of poorly soluble drugs. Adv Drug Deliv Rev 2024; 211:115358. [PMID: 38851590 DOI: 10.1016/j.addr.2024.115358] [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: 12/01/2023] [Revised: 05/12/2024] [Accepted: 06/05/2024] [Indexed: 06/10/2024]
Abstract
Administered drug molecules, whether dissolved or solubilized, have the potential to precipitate and accumulate as solid forms in tissues and cells within the body. This phase transition can significantly impact the pharmacokinetics of treatment. It is thus crucial to gain an understanding of how drug solubility/permeability, drug formulations and routes of administration affect in vivo behaviors of drug deposition. This review examines literature reports on the drug deposition in tissues and cells of poorly water-soluble drugs, as well as underlying physical mechanisms that lead to precipitation. Our work particularly highlights drug deposition in macrophages and the subcellular fate of precipitated drugs. We also propose a tissue permeability-based classification framework to evaluate precipitation potentials of poorly soluble drugs in major organs and tissues. The impact on pharmacokinetics is further discussed and needs to be considered in developing drug delivery systems. Finally, bioimaging techniques that are used to examine aggregated states and the intracellular trafficking of absorbed drugs are summarized.
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Affiliation(s)
- Zhaohuan Lou
- School of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Zhejiang, Hangzhou 310053, China; Department of Industrial and Physical Pharmacy, College of Pharmacy, Purdue University, 575 Stadium Mall Drive, West Lafayette, IN 47906, USA
| | - Chaofeng Mu
- School of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Zhejiang, Hangzhou 310053, China
| | - Clairissa D Corpstein
- Department of Industrial and Physical Pharmacy, College of Pharmacy, Purdue University, 575 Stadium Mall Drive, West Lafayette, IN 47906, USA
| | - Tonglei Li
- Department of Industrial and Physical Pharmacy, College of Pharmacy, Purdue University, 575 Stadium Mall Drive, West Lafayette, IN 47906, USA.
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Blumenfeld Z, Bera K, Castrén E, Lester HA. Antidepressants enter cells, organelles, and membranes. Neuropsychopharmacology 2024; 49:246-261. [PMID: 37783840 PMCID: PMC10700606 DOI: 10.1038/s41386-023-01725-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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 08/28/2023] [Accepted: 08/28/2023] [Indexed: 10/04/2023]
Abstract
We begin by summarizing several examples of antidepressants whose therapeutic actions begin when they encounter their targets in the cytoplasm or in the lumen of an organelle. These actions contrast with the prevailing view that most neuropharmacological actions begin when drugs engage their therapeutic targets at extracellular binding sites of plasma membrane targets-ion channels, receptors, and transporters. We review the chemical, pharmacokinetic, and pharmacodynamic principles underlying the movements of drugs into subcellular compartments. We note the relationship between protonation-deprotonation events and membrane permeation of antidepressant drugs. The key properties relate to charge and hydrophobicity/lipid solubility, summarized by the parameters LogP, pKa, and LogDpH7.4. The classical metric, volume of distribution (Vd), is unusually large for some antidepressants and has both supracellular and subcellular components. A table gathers structures, LogP, PKa, LogDpH7.4, and Vd data and/or calculations for most antidepressants and antidepressant candidates. The subcellular components, which can now be measured in some cases, are dominated by membrane binding and by trapping in the lumen of acidic organelles. For common antidepressants, such as selective serotonin reuptake inhibitors (SSRIs) and serotonin/norepinephrine reuptake inhibitors (SNRIs), the target is assumed to be the eponymous reuptake transporter(s), although in fact the compartment of target engagement is unknown. We review special aspects of the pharmacokinetics of ketamine, ketamine metabolites, and other rapidly acting antidepressants (RAADs) including methoxetamine and scopolamine, psychedelics, and neurosteroids. Therefore, the reader can assess properties that markedly affect a drug's ability to enter or cross membranes-and therefore, to interact with target sites that face the cytoplasm, the lumen of organelles, or a membrane. In the current literature, mechanisms involving intracellular targets are termed "location-biased actions" or "inside-out pharmacology". Hopefully, these general terms will eventually acquire additional mechanistic details.
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Affiliation(s)
- Zack Blumenfeld
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA
- Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA
| | - Kallol Bera
- Department of Neurosciences and Howard Hughes Medical Institute, University of California at San Diego, La Jolla, CA, USA
| | - Eero Castrén
- Neuroscience Center, University of Helsinki, Helsinki, Finland
| | - Henry A Lester
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.
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Dimitrijevic D, Fabian E, Nicol B, Funk-Weyer D, Landsiedel R. Toward Realistic Dosimetry In Vitro: Determining Effective Concentrations of Test Substances in Cell Culture and Their Prediction by an In Silico Mass Balance Model. Chem Res Toxicol 2022; 35:1962-1973. [PMID: 36264934 PMCID: PMC9682521 DOI: 10.1021/acs.chemrestox.2c00128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
Nominal concentrations (CNom) in cell culture media are routinely used to define concentration-effect relationships in the in vitro toxicology. The actual concentration in the medium (CMedium) can be affected by adsorption processes, evaporation, or degradation of chemicals. Therefore, we measured the total and free concentration of 12 chemicals, covering a wide range of lipophilicity (log KOW -0.07-6.84), in the culture medium (CMedium) and cells (CCell) after incubation with Balb/c 3T3 cells for up to 48 h. Measured values were compared to predictions using an as yet unpublished in silico mass balance model that combined relevant equations from similar models published by others. The total CMedium for all chemicals except tamoxifen (TAM) were similar to the CNom. This was attributed to the cellular uptake of TAM and accumulation into lysosomes. The free (i.e., unbound) CMedium for the low/no protein binding chemicals were similar to the CNom, whereas values of all moderately to highly protein-bound chemicals were less than 30% of the CNom. Of the 12 chemicals, the two most hydrophilic chemicals, acetaminophen (APAP) and caffeine (CAF), were the only ones for which the CCell was the same as the CNom. The CCell for all other chemicals tended to increase over time and were all 2- to 274-fold higher than CNom. Measurements of CCytosol, using a digitonin method to release cytosol, compared well with CCell (using a freeze-thaw method) for four chemicals (CAF, APAP, FLU, and KET), indicating that both methods could be used. The mass balance model predicted the total CMedium within 30% of the measured values for 11 chemicals. The free CMedium of all 12 chemicals were predicted within 3-fold of the measured values. There was a poorer prediction of CCell values, with a median overprediction of 3- to 4-fold. In conclusion, while the number of chemicals in the study is limited, it demonstrates the large differences between CNom and total and free CMedium and CCell, which were also relatively well predicted by the mass balance model.
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Affiliation(s)
- Dunja Dimitrijevic
- Free
University of Berlin, Institute of Pharmacy, Pharmacology and Toxicology, Königin-Luise-Straße
2−4, 14195Berlin, Germany
| | - Eric Fabian
- BASF
SE, Experimental Toxicology and Ecology, Carl-Bosch-Straße 38, 67056Ludwigshafen am Rhein, Germany
| | - Beate Nicol
- Safety
& Environmental Assurance Centre, Unilever
U.K., Sharnbrook, MK44 ILQBedford, United Kingdom
| | - Dorothee Funk-Weyer
- BASF
SE, Experimental Toxicology and Ecology, Carl-Bosch-Straße 38, 67056Ludwigshafen am Rhein, Germany
| | - Robert Landsiedel
- Free
University of Berlin, Institute of Pharmacy, Pharmacology and Toxicology, Königin-Luise-Straße
2−4, 14195Berlin, Germany,BASF
SE, Experimental Toxicology and Ecology, Carl-Bosch-Straße 38, 67056Ludwigshafen am Rhein, Germany,. Fax: +49 621 60-58134
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