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Haley MJ, Barroso R, Jasim DA, Haigh M, Green J, Dickie B, Craig AG, Brough D, Couper KN. Lymphatic network drainage resolves cerebral edema and facilitates recovery from experimental cerebral malaria. Cell Rep 2024; 43:114217. [PMID: 38728141 DOI: 10.1016/j.celrep.2024.114217] [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: 11/22/2022] [Revised: 11/29/2023] [Accepted: 04/25/2024] [Indexed: 05/12/2024] Open
Abstract
While brain swelling, associated with fluid accumulation, is a known feature of pediatric cerebral malaria (CM), how fluid and macromolecules are drained from the brain during recovery from CM is unknown. Using the experimental CM (ECM) model, we show that fluid accumulation in the brain during CM is driven by vasogenic edema and not by perivascular cerebrospinal fluid (CSF) influx. We identify that fluid and molecules are removed from the brain extremely quickly in mice with ECM to the deep cervical lymph nodes (dcLNs), predominantly through basal routes and across the cribriform plate and the nasal lymphatics. In agreement, we demonstrate that ligation of the afferent lymphatic vessels draining to the dcLNs significantly impairs fluid drainage from the brain and lowers anti-malarial drug recovery from the ECM syndrome. Collectively, our results provide insight into the pathways that coordinate recovery from CM.
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Affiliation(s)
- Michael J Haley
- Division of Immunology, Immunity to Infection & Respiratory Medicine, Faculty of Biology, Medicine & Health, The University of Manchester, Manchester M13 9PT, UK; Geoffrey Jefferson Brain Research Centre, The Manchester Academic Health Science Centre, Northern Care Alliance NHS Group, University of Manchester, Manchester, UK; The Lydia Becker Institute of Immunology and Inflammation, University of Manchester, Manchester, UK
| | - Ruben Barroso
- Division of Immunology, Immunity to Infection & Respiratory Medicine, Faculty of Biology, Medicine & Health, The University of Manchester, Manchester M13 9PT, UK; Geoffrey Jefferson Brain Research Centre, The Manchester Academic Health Science Centre, Northern Care Alliance NHS Group, University of Manchester, Manchester, UK; The Lydia Becker Institute of Immunology and Inflammation, University of Manchester, Manchester, UK
| | - Dhifaf A Jasim
- Nanomedicine Lab, National Graphene Institute and Faculty of Biology, Medicine & Health, The University of Manchester, AV Hill Building, Manchester M13 9PT, UK; Medicines Discovery Catapult (MDC), Alderley Park, Macclesfield SK10 4TG, UK
| | - Megan Haigh
- Division of Immunology, Immunity to Infection & Respiratory Medicine, Faculty of Biology, Medicine & Health, The University of Manchester, Manchester M13 9PT, UK
| | - Jack Green
- Geoffrey Jefferson Brain Research Centre, The Manchester Academic Health Science Centre, Northern Care Alliance NHS Group, University of Manchester, Manchester, UK; The Lydia Becker Institute of Immunology and Inflammation, University of Manchester, Manchester, UK; Division of Neuroscience, Faculty of Biology, Medicine & Health, The University of Manchester, Manchester M13 9PT, UK
| | - Ben Dickie
- Geoffrey Jefferson Brain Research Centre, The Manchester Academic Health Science Centre, Northern Care Alliance NHS Group, University of Manchester, Manchester, UK; Division of Informatics, Imaging & Data Sciences, Faculty of Biology, Medicine & Health, The University of Manchester, Manchester M13 9PT, UK
| | - Alister G Craig
- Department of Tropical Disease Biology, Liverpool School of Tropical Medicine, Liverpool L3 5QA, UK
| | - David Brough
- Geoffrey Jefferson Brain Research Centre, The Manchester Academic Health Science Centre, Northern Care Alliance NHS Group, University of Manchester, Manchester, UK; The Lydia Becker Institute of Immunology and Inflammation, University of Manchester, Manchester, UK; Division of Neuroscience, Faculty of Biology, Medicine & Health, The University of Manchester, Manchester M13 9PT, UK
| | - Kevin N Couper
- Division of Immunology, Immunity to Infection & Respiratory Medicine, Faculty of Biology, Medicine & Health, The University of Manchester, Manchester M13 9PT, UK; Geoffrey Jefferson Brain Research Centre, The Manchester Academic Health Science Centre, Northern Care Alliance NHS Group, University of Manchester, Manchester, UK; The Lydia Becker Institute of Immunology and Inflammation, University of Manchester, Manchester, UK.
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Jasim DA, Newman L, Rodrigues AF, Vacchi IA, Lucherelli MA, Lozano N, Ménard-Moyon C, Bianco A, Kostarelos K. The impact of graphene oxide sheet lateral dimensions on their pharmacokinetic and tissue distribution profiles in mice. J Control Release 2021; 338:330-340. [PMID: 34418522 DOI: 10.1016/j.jconrel.2021.08.028] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2020] [Revised: 08/11/2021] [Accepted: 08/16/2021] [Indexed: 10/20/2022]
Abstract
Although the use of graphene and 2-dimensional (2D) materials in biomedicine has been explored for over a decade now, there are still significant knowledge gaps regarding the fate of these materials upon interaction with living systems. Here, the pharmacokinetic profile of graphene oxide (GO) sheets of three different lateral dimensions was studied. The GO materials were functionalized with a PEGylated DOTA (1,4,7,10-tetraazacyclododecane-1,4,7,10-tetraacetic acid), a radiometal chelating agent for radioisotope attachment for single photon emission computed tomography (SPECT/CT) imaging. Our results revealed that GO materials with three distinct size distributions, large (l-GO-DOTA), small (s-GO-DOTA) and ultra-small (us-GO-DOTA), were sequestered by the spleen and liver. Significant accumulation of the large material (l-GO-DOTA) in the lungs was also observed, unlike the other two materials. Interestingly, there was extensive urinary excretion of all three GO nanomaterials indicating that urinary excretion of these structures was not affected by lateral dimensions. Comparing with previous studies, we believe that the thickness of layered nanomaterials is the predominant factor that governs their excretion rather than lateral size. However, the rate of urinary excretion was affected by lateral size, with large GO excreting at slower rates. This study provides better understanding of 2D materials in vivo behaviour with varying structural features.
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Affiliation(s)
- Dhifaf A Jasim
- Nanomedicine Lab, National Graphene Institute, Faculty of Biology, Medicine & Health, University of Manchester, AV Hill Building, Manchester M13 9PT, United Kingdom
| | - Leon Newman
- Nanomedicine Lab, National Graphene Institute, Faculty of Biology, Medicine & Health, University of Manchester, AV Hill Building, Manchester M13 9PT, United Kingdom
| | - Artur Filipe Rodrigues
- Nanomedicine Lab, National Graphene Institute, Faculty of Biology, Medicine & Health, University of Manchester, AV Hill Building, Manchester M13 9PT, United Kingdom
| | - Isabella A Vacchi
- CNRS, Immunology, Immunopathology and Therapeutic Chemistry, UPR3572, University of Strasbourg, Strasbourg 67000, France
| | - Matteo A Lucherelli
- CNRS, Immunology, Immunopathology and Therapeutic Chemistry, UPR3572, University of Strasbourg, Strasbourg 67000, France
| | - Neus Lozano
- Nanomedicine Lab, National Graphene Institute, Faculty of Biology, Medicine & Health, University of Manchester, AV Hill Building, Manchester M13 9PT, United Kingdom; Catalan Institute of Nanoscience and Nanotechnology (ICN2), CSIC and BIST, Campus UAB, Bellaterra, 08193 Barcelona, Spain
| | - Cécilia Ménard-Moyon
- CNRS, Immunology, Immunopathology and Therapeutic Chemistry, UPR3572, University of Strasbourg, Strasbourg 67000, France
| | - Alberto Bianco
- CNRS, Immunology, Immunopathology and Therapeutic Chemistry, UPR3572, University of Strasbourg, Strasbourg 67000, France
| | - Kostas Kostarelos
- Nanomedicine Lab, National Graphene Institute, Faculty of Biology, Medicine & Health, University of Manchester, AV Hill Building, Manchester M13 9PT, United Kingdom; Catalan Institute of Nanoscience and Nanotechnology (ICN2), CSIC and BIST, Campus UAB, Bellaterra, 08193 Barcelona, Spain.
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Pellico J, Gawne PJ, T M de Rosales R. Radiolabelling of nanomaterials for medical imaging and therapy. Chem Soc Rev 2021; 50:3355-3423. [PMID: 33491714 DOI: 10.1039/d0cs00384k] [Citation(s) in RCA: 112] [Impact Index Per Article: 37.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Nanomaterials offer unique physical, chemical and biological properties of interest for medical imaging and therapy. Over the last two decades, there has been an increasing effort to translate nanomaterial-based medicinal products (so-called nanomedicines) into clinical practice and, although multiple nanoparticle-based formulations are clinically available, there is still a disparity between the number of pre-clinical products and those that reach clinical approval. To facilitate the efficient clinical translation of nanomedicinal-drugs, it is important to study their whole-body biodistribution and pharmacokinetics from the early stages of their development. Integrating this knowledge with that of their therapeutic profile and/or toxicity should provide a powerful combination to efficiently inform nanomedicine trials and allow early selection of the most promising candidates. In this context, radiolabelling nanomaterials allows whole-body and non-invasive in vivo tracking by the sensitive clinical imaging techniques positron emission tomography (PET), and single photon emission computed tomography (SPECT). Furthermore, certain radionuclides with specific nuclear emissions can elicit therapeutic effects by themselves, leading to radionuclide-based therapy. To ensure robust information during the development of nanomaterials for PET/SPECT imaging and/or radionuclide therapy, selection of the most appropriate radiolabelling method and knowledge of its limitations are critical. Different radiolabelling strategies are available depending on the type of material, the radionuclide and/or the final application. In this review we describe the different radiolabelling strategies currently available, with a critical vision over their advantages and disadvantages. The final aim is to review the most relevant and up-to-date knowledge available in this field, and support the efficient clinical translation of future nanomedicinal products for in vivo imaging and/or therapy.
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Affiliation(s)
- Juan Pellico
- School of Biomedical Engineering & Imaging Sciences, King's College London, St. Thomas' Hospital, London SE1 7EH, UK.
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Cazier H, Malgorn C, Fresneau N, Georgin D, Sallustrau A, Chollet C, Tabet JC, Campidelli S, Pinault M, Mayne M, Taran F, Dive V, Junot C, Fenaille F, Colsch B. Development of a Mass Spectrometry Imaging Method for Detecting and Mapping Graphene Oxide Nanoparticles in Rodent Tissues. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2020; 31:1025-1036. [PMID: 32223237 DOI: 10.1021/jasms.9b00070] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Graphene-based nanoparticles are continuously being developed for biomedical applications, and their use raises concerns about their environmental and biological impact. In the literature, some imaging techniques based on fluorescence and radioimaging have been used to explore their fate in vivo. Here, we report on the use of label-free mass spectrometry and mass spectrometry imaging (MSI) for graphene oxide (GO) and reduced graphene oxide (rGO) analyses in rodent tissues. Thereby, we extend previous work by focusing on practical questions to obtain reliable and meaningful images. Specific radical anionic carbon clusters ranging from C2-• to C9-• were observed for both GO and rGO species, with a base peak at m/z 72 under negative laser desorption ionization mass spectrometry (LDI-MS) conditions. Extension to an LDI-MSI method was then performed, thus enabling the efficient detection of GO nanoparticles in lung tissue sections of previously exposed mice. The possibility of quantifying those nanoparticles on tissue sections has also been investigated. Two different ways of building calibration curves (i.e., GO suspensions spotted on tissue sections, or added to lung tissue homogenates) were evaluated and returned similar results, with linear dynamic concentration ranges over at least 2 orders of magnitude. Moreover, intra- and inter-day precision studies have been assessed, with relative standard deviation below 25% for each concentration point of a calibration curve. In conclusion, our study confirms that LDI-MSI is a relevant approach for biodistribution studies of carbon-based nanoparticles, as quantification can be achieved, provided that nanoparticle suspension and manufacturing are carefully controlled.
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Affiliation(s)
- Hélène Cazier
- INRAE, Médicaments et Technologies pour la Santé (MTS), Université Paris-Saclay, CEA, 91191 Gif-sur-Yvette, France
| | - Carole Malgorn
- INRAE, Médicaments et Technologies pour la Santé (MTS), Université Paris-Saclay, CEA, 91191 Gif-sur-Yvette, France
| | - Nathalie Fresneau
- INRAE, Médicaments et Technologies pour la Santé (MTS), Université Paris-Saclay, CEA, 91191 Gif-sur-Yvette, France
| | - Dominique Georgin
- INRAE, Médicaments et Technologies pour la Santé (MTS), Université Paris-Saclay, CEA, 91191 Gif-sur-Yvette, France
| | - Antoine Sallustrau
- INRAE, Médicaments et Technologies pour la Santé (MTS), Université Paris-Saclay, CEA, 91191 Gif-sur-Yvette, France
| | - Céline Chollet
- INRAE, Médicaments et Technologies pour la Santé (MTS), Université Paris-Saclay, CEA, 91191 Gif-sur-Yvette, France
| | - Jean-Claude Tabet
- INRAE, Médicaments et Technologies pour la Santé (MTS), Université Paris-Saclay, CEA, 91191 Gif-sur-Yvette, France
| | | | - Mathieu Pinault
- INRAE, Médicaments et Technologies pour la Santé (MTS), Université Paris-Saclay, CEA, 91191 Gif-sur-Yvette, France
| | - Martine Mayne
- INRAE, Médicaments et Technologies pour la Santé (MTS), Université Paris-Saclay, CEA, 91191 Gif-sur-Yvette, France
| | - Frédéric Taran
- INRAE, Médicaments et Technologies pour la Santé (MTS), Université Paris-Saclay, CEA, 91191 Gif-sur-Yvette, France
| | - Vincent Dive
- INRAE, Médicaments et Technologies pour la Santé (MTS), Université Paris-Saclay, CEA, 91191 Gif-sur-Yvette, France
| | - Christophe Junot
- INRAE, Médicaments et Technologies pour la Santé (MTS), Université Paris-Saclay, CEA, 91191 Gif-sur-Yvette, France
| | - François Fenaille
- INRAE, Médicaments et Technologies pour la Santé (MTS), Université Paris-Saclay, CEA, 91191 Gif-sur-Yvette, France
| | - Benoit Colsch
- INRAE, Médicaments et Technologies pour la Santé (MTS), Université Paris-Saclay, CEA, 91191 Gif-sur-Yvette, France
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Baik JW, Kim JY, Cho S, Choi S, Kim J, Kim C. Super Wide-Field Photoacoustic Microscopy of Animals and Humans In Vivo. IEEE TRANSACTIONS ON MEDICAL IMAGING 2020; 39:975-984. [PMID: 31484110 DOI: 10.1109/tmi.2019.2938518] [Citation(s) in RCA: 66] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
Acoustic-resolution photoacoustic micro-scopy (AR-PAM) is an emerging biomedical imaging modality that combines superior optical sensitivity and fine ultrasonic resolution in an optical quasi-diffusive regime (~1-3 mm in tissues). AR-PAM has been explored for anatomical, functional, and molecular information in biological tissues. Heretofore, AR-PAM systems have suffered from a limited field-of-view (FOV) and/or slow imaging speed, which have precluded them from routine preclinical and clinical applications. Here, we demonstrate an advanced AR-PAM system that overcomes both limitations of previous AR-PAM systems. The new AR-PAM system demonstrates a super wide-field scanning that utilized a 1-axis water-proofing microelectromechanical systems (MEMS) scanner integrated with two linear stepper motor stages. We achieved an extended FOV of 36 ×80 mm2 by mosaicking multiple volumetric images of 36 ×2.5 mm2 with a total acquisition time of 224 seconds. For one volumetric data (i.e., 36 ×2.5 mm2), the B-scan imaging speed over the short axis (i.e., 2.5 mm) was 83 Hz in humans. The 3D volumetric image was also provided by using MEMS mirror scanning along the X-axis and stepper-motor scanning along the Y-axis. The super-wide FOV mosaic image was realized by registering and merging all individual volumetric images. Finally, we obtained multi-plane whole-body in-vivo PA images of small animals, illustrating distinct multi-layered structures including microvascular networks and internal organs. Importantly, we also visualized microvascular networks in human fingers, palm, and forearm successfully. This advanced MEMS-AR-PAM system could potentially enable hitherto not possible wide preclinical and clinical applications.
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Abstract
Molecular imaging enables both spatial and temporal understanding of the complex biologic systems underlying carcinogenesis and malignant spread. Single-photon emission tomography (SPECT) is a versatile nuclear imaging-based technique with ideal properties to study these processes in vivo in small animal models, as well as to identify potential drug candidates and characterize their antitumor action and potential adverse effects. Small animal SPECT and SPECT-CT (single-photon emission tomography combined with computer tomography) systems continue to evolve, as do the numerous SPECT radiopharmaceutical agents, allowing unprecedented sensitivity and quantitative molecular imaging capabilities. Several of these advances, their specific applications in oncology as well as new areas of exploration are highlighted in this chapter.
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Affiliation(s)
- Benjamin L Franc
- Department of Radiology, Stanford University School of Medicine, 300 Pasteur Drive, H2232, MC 5281, Stanford, CA, 94305-5105, USA.
| | - Youngho Seo
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, USA
| | - Robert Flavell
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, USA
| | - Carina Mari Aparici
- Department of Radiology, Stanford University School of Medicine, 300 Pasteur Drive, H2232, MC 5281, Stanford, CA, 94305-5105, USA
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Establishing the effects of mesoporous silica nanoparticle properties on in vivo disposition using imaging-based pharmacokinetics. Nat Commun 2018; 9:4551. [PMID: 30382084 PMCID: PMC6208419 DOI: 10.1038/s41467-018-06730-z] [Citation(s) in RCA: 157] [Impact Index Per Article: 26.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2018] [Accepted: 09/13/2018] [Indexed: 12/31/2022] Open
Abstract
The progress of nanoparticle (NP)-based drug delivery has been hindered by an inability to establish structure-activity relationships in vivo. Here, using stable, monosized, radiolabeled, mesoporous silica nanoparticles (MSNs), we apply an integrated SPECT/CT imaging and mathematical modeling approach to understand the combined effects of MSN size, surface chemistry and routes of administration on biodistribution and clearance kinetics in healthy rats. We show that increased particle size from ~32- to ~142-nm results in a monotonic decrease in systemic bioavailability, irrespective of route of administration, with corresponding accumulation in liver and spleen. Cationic MSNs with surface exposed amines (PEI) have reduced circulation, compared to MSNs of identical size and charge but with shielded amines (QA), due to rapid sequestration into liver and spleen. However, QA show greater total excretion than PEI and their size-matched neutral counterparts (TMS). Overall, we provide important predictive functional correlations to support the rational design of nanomedicines. Nanoparticle applications are limited by insufficient understanding of physiochemical properties on in vivo disposition. Here, the authors explore the influence of size, surface chemistry and administration on the biodisposition of mesoporous silica nanoparticles using image-based pharmacokinetics.
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