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Shami GJ, Samarska IV, Koek GH, Li A, Palma E, Chokshi S, Wisse E, Braet F. Giant mitochondria in human liver disease. Liver Int 2023; 43:2365-2378. [PMID: 37615254 DOI: 10.1111/liv.15711] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Accepted: 08/11/2023] [Indexed: 08/25/2023]
Abstract
This thematic review aims to provide an overview of the current state of knowledge about the occurrence of giant mitochondria or megamitochondria in liver parenchymal cells. Their presence and accumulation are considered to be a major pathological hallmark of the health and fate of liver parenchymal cells that leads to overall tissue deterioration and eventually results in organ failure. The first description on giant mitochondria dates back to the 1960s, coinciding with the availability of the first generation of electron microscopes in clinical diagnostic laboratories. Detailed accounts on their ultrastructure have mostly been described in patients suffering from alcoholic liver disease, chronic hepatitis, hepatocellular carcinoma and non-alcoholic fatty liver disease. Interestingly, from this extensive literature survey, it became apparent that giant mitochondria or megamitochondria present themselves with or without highly organised crystal-like intramitochondrial inclusions. The origin, formation and potential role of giant mitochondria remain to-date largely unanswered. Likewise, the biochemical composition of the well-organised crystal-like inclusions and their possible impact on mitochondrial function is unclear. Herein, concepts about the possible mechanism of their formation and three-dimensional architecture will be approached. We will furthermore discuss their importance in diagnostics, including future research outlooks and potential therapeutic interventions to cure liver disease where giant mitochondria are implemented.
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Affiliation(s)
- Gerald J Shami
- School of Medical Sciences (Molecular and Cellular Biomedicine), The University of Sydney, Sydney, New South Wales, Australia
- Australian Centre for Microscopy and Microanalysis, The University of Sydney, Sydney, New South Wales, Australia
| | - Iryna V Samarska
- Pathology, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Ger H Koek
- Department of Internal Medicine division of Gastroenterology & Hepatology, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Amy Li
- Centre for Healthy Futures, Torrens University Australia, Sydney, New South Wales, Australia
- Department of Pharmacy & Biomedical Sciences, La Trobe University, Melbourne, Victoria, Australia
| | - Elena Palma
- The Roger Williams Institute of Hepatology, Foundation for Liver Research, London, UK
- King's College London, Faculty of Life Sciences and Medicine, London, UK
| | - Shilpa Chokshi
- King's College London, Faculty of Life Sciences and Medicine, London, UK
| | - Eddie Wisse
- Division of Nanoscopy, Multimodal Molecular Imaging Institute, University of Maastricht, Maastricht, The Netherlands
| | - Filip Braet
- School of Medical Sciences (Molecular and Cellular Biomedicine), The University of Sydney, Sydney, New South Wales, Australia
- Australian Centre for Microscopy and Microanalysis, The University of Sydney, Sydney, New South Wales, Australia
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Gignac PM, O'Brien HD, Sanchez J, Vazquez-Sanroman D. Multiscale imaging of the rat brain using an integrated diceCT and histology workflow. Brain Struct Funct 2021; 226:2153-2168. [PMID: 34173869 DOI: 10.1007/s00429-021-02316-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Accepted: 06/07/2021] [Indexed: 11/27/2022]
Abstract
Advancements in tissue visualization techniques have spurred significant gains in the biomedical sciences by enabling researchers to integrate their datasets across anatomical scales. Of particular import are techniques that enable the interpolation of multiple hierarchical scales in samples taken from the same individuals. In this study, we demonstrate that two-dimensional histology techniques can be employed on neural tissues following three-dimensional diffusible iodine-based contrast-enhanced computed tomography (diceCT) without causing tissue degradation. This represents the first step toward a multiscale pipeline for brain visualization. We studied brains from adolescent male Sprague-Dawley rats, comparing experimental (diceCT-stained then de-stained) to control (without diceCT) brains to examine neural tissues for immunolabeling integrity, compare somata sizes, and distinguish neurons from glial cells within the telencephalon and diencephalon. We hypothesized that if experimental and control samples do not differ significantly in morphological cell analysis, then brain tissues are robust to the chemical, temperature, and radiation environments required for these multiple, successive imaging protocols. Visualizations for experimental brains were first captured via micro-computed tomography scanning of isolated, iodine-infused specimens. Samples were then cleared of iodine, serially sectioned, and prepared again using immunofluorescent, fluorescent, and cresyl violet labeling, followed by imaging with confocal and light microscopy, respectively. Our results show that many neural targets are resilient to diceCT imaging and compatible with downstream histological staining as part of a low-cost, multiscale brain imaging pipeline.
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Affiliation(s)
- Paul M Gignac
- Department of Anatomy and Cell Biology, Oklahoma State University Center for Health Sciences, Tulsa, OK, 74107, USA
| | - Haley D O'Brien
- Department of Anatomy and Cell Biology, Oklahoma State University Center for Health Sciences, Tulsa, OK, 74107, USA
| | - Jimena Sanchez
- Centro de Investigaciones Cerebrales, Universidad Veracruzana, Xalapa, Mexico
| | - Dolores Vazquez-Sanroman
- Department of Anatomy and Cell Biology, Oklahoma State University Center for Health Sciences, Tulsa, OK, 74107, USA.
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Epah J, Pálfi K, Dienst FL, Malacarne PF, Bremer R, Salamon M, Kumar S, Jo H, Schürmann C, Brandes RP. 3D Imaging and Quantitative Analysis of Vascular Networks: A Comparison of Ultramicroscopy and Micro-Computed Tomography. Theranostics 2018; 8:2117-2133. [PMID: 29721067 PMCID: PMC5928875 DOI: 10.7150/thno.22610] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2017] [Accepted: 01/30/2018] [Indexed: 12/18/2022] Open
Abstract
Rationale: Classic histology is the gold standard for vascular network imaging and analysis. The method however is laborious and prone to artefacts. Here, the suitability of ultramicroscopy (UM) and micro-computed tomography (CT) was studied to establish potential alternatives to histology. Methods: The vasculature of murine organs (kidney, heart and atherosclerotic carotid arteries) was visualized using conventional 2D microscopy, 3D light sheet ultramicroscopy (UM) and micro-CT. Moreover, spheroid-based human endothelial cell vessel formation in mice was quantified. Fluorescently labeled Isolectin GS-IB4 A647 was used for in vivo labeling of vasculature for UM analysis, and analyses were performed ex vivo after sample preparation. For CT imaging, animals were perfused postmortem with radiopaque contrast agent. Results: Using UM imaging, 3D vascular network information could be obtained in samples of animals receiving in vivo injection of the fluorescently labeled Isolectin GS-IB4. Resolution was sufficient to measure single endothelial cell integration into capillaries in the spheroid-based matrigel plug assay. Because of the selective staining of the endothelium, imaging of larger vessels yielded less favorable results. Using micro-CT or even nano-CT, imaging of capillaries was impossible due to insufficient X-ray absorption and thus insufficient signal-to-noise ratio. Identification of lumen in murine arteries using micro-CT was in contrast superior to UM. Conclusion: UM and micro-CT are two complementary techniques. Whereas UM is ideal for imaging and especially quantifying capillary networks and arterioles, larger vascular structures are easier and faster to quantify and visualize using micro-CT. 3D information of both techniques is superior to 2D histology. UM and micro-CT together may open a new field of clinical pathology diagnosis.
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Terrenato I, Sperati F, Musicco F, Pozzi AF, di Turi A, Caterino M, de Lutio di Castelguidone E, Setola SV, Bellomi M, Neumaier CE, Conti L, Cigliana G, Merola R, Antenucci A, Orlandi G, Giordano A, Barba M, Canitano S. Iodixanol versus iopromide in cancer patients: Evidence from a randomized clinical trial. J Cell Physiol 2017; 233:2572-2580. [PMID: 28777459 DOI: 10.1002/jcp.26132] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2017] [Accepted: 08/03/2017] [Indexed: 01/10/2023]
Abstract
To assess the safety profile of iso-osmolar contrast medium (CM) versus low osmolar CM in cancer patients with an estimated glomerular filtration rate (eGFR) >60 ml/min. In this multicenter, blind trial of patients seeking a chest-abdomen-pelvis contrast enhanced computed tomography (CT) with iodated CM, participants were centrally randomized to iodixanol or iopromide. Contrast induced nephropathy (CIN) at 24 and/or 72 hr were our primary outcomes. We further considered irreversible CIN, average eGFR percentage variation (%Δ), and adverse events (AEs). Overall, 607 patients were enrolled. Among them, 497 eligible patients were randomized to iodixanol (N: 247) or iopromide (N: 250). No differences emerged by descriptive characteristics. Seven and 3 CIN at 24 hr (p = 0.34) and 8 and 2 CIN at 72 hr (p = 0.11) occurred in the iopromide and iodixanol group, respectively. Within the subgroup of individual patients who developed CIN (N: 17), the event rate was higher in the iopromide arm (p = 0.045). No cases of permanent CIN or significant differences in terms of AEs or GFR %Δ were observed. Our results suggest a more favorable safety profile of iodixanol versus iopromide. Adequately sized trials with similar design are warranted to confirm our findings and clarify the underlying biological mechanisms.
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Affiliation(s)
- Irene Terrenato
- Biostatistic Unit, Regina Elena National Cancer Institute, Rome, Italy
| | - Francesca Sperati
- Biostatistic Unit, Regina Elena National Cancer Institute, Rome, Italy
| | - Felice Musicco
- Service of Pharmacovigilance, Regina Elena National Cancer Institute, Rome, Italy
| | | | - Annunziata di Turi
- Scientific Direction, Regina Elena National Cancer Institute, Rome, Italy
| | - Mauro Caterino
- Department of Diagnostic Imaging, Regina Elena National Cancer Institute, Rome, Italy
| | | | - Sergio V Setola
- Department of Diagnostic Imaging, Radiant and Metabolic Therapy, Istituto Nazionale Tumori IRCCS Fondazione Pascale, Naples, Italy
| | - Massimo Bellomi
- Department of Medical Imaging and Radiation Sciences, European Institute of Oncology, Milan, Italy.,Department of Oncology and Hematology-Oncology, University of Milan, Milan, Italy
| | - Carlo E Neumaier
- Diagnostic Imaging and Senology, IRCCS-A.O.U., San Martino-IST, Genoa, Italy
| | - Laura Conti
- Departement of Clinical Patology, Regina Elena National Cancer Institute, Rome, Italy
| | - Giovanni Cigliana
- Departement of Clinical Patology, Regina Elena National Cancer Institute, Rome, Italy
| | - Roberta Merola
- Departement of Clinical Patology, Regina Elena National Cancer Institute, Rome, Italy
| | - Anna Antenucci
- Departement of Clinical Patology, Regina Elena National Cancer Institute, Rome, Italy
| | - Giulia Orlandi
- Departement of Clinical Patology, Regina Elena National Cancer Institute, Rome, Italy
| | - Antonio Giordano
- Department of Medicine, Surgery and Neuroscience, University of Siena and Istituto Toscano Tumori (ITT), Siena, Italy.,Department of Biology, Sbarro Institute for Cancer Research and Molecular Medicine, College of Science and Technology, Temple University, Philadelphia, Pennsylvania
| | - Maddalena Barba
- Scientific Direction, Regina Elena National Cancer Institute, Rome, Italy.,Division of Medical Oncology 2, Regina Elena National Cancer Institute, Rome, Italy
| | - Stefano Canitano
- Department of Diagnostic Imaging, Regina Elena National Cancer Institute, Rome, Italy
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