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Schueler J, Kuenzel J, Thuesing A, Pion E, Behncke RY, Haegerling R, Fuchs D, Kraus A, Buchholz B, Huang B, Merhof D, Werner JM, Schmidt KM, Hackl C, Aung T, Haerteis S. Ultra high frequency ultrasound enables real-time visualization of blood supply from chorioallantoic membrane to human autosomal dominant polycystic kidney tissue. Sci Rep 2024; 14:10063. [PMID: 38698187 PMCID: PMC11066115 DOI: 10.1038/s41598-024-60783-3] [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: 10/29/2023] [Accepted: 04/26/2024] [Indexed: 05/05/2024] Open
Abstract
Ultra high frequency (UHF) ultrasound enables the visualization of very small structures that cannot be detected by conventional ultrasound. The utilization of UHF imaging as a new imaging technique for the 3D-in-vivo chorioallantoic membrane (CAM) model can facilitate new insights into tissue perfusion and survival. Therefore, human renal cystic tissue was grafted onto the CAM and examined using UHF ultrasound imaging. Due to the unprecedented resolution of UHF ultrasound, it was possible to visualize microvessels, their development, and the formation of anastomoses. This enabled the observation of anastomoses between human and chicken vessels only 12 h after transplantation. These observations were validated by 3D reconstructions from a light sheet microscopy image stack, indocyanine green angiography, and histological analysis. Contrary to the assumption that the nutrient supply of the human cystic tissue and the gas exchange happens through diffusion from CAM vessels, this study shows that the vasculature of the human cystic tissue is directly connected to the blood vessels of the CAM and perfusion is established within a short period. Therefore, this in-vivo model combined with UHF imaging appears to be the ideal platform for studying the effects of intravenously applied therapeutics to inhibit renal cyst growth.
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Affiliation(s)
- Jan Schueler
- Institute for Molecular and Cellular Anatomy, University of Regensburg, 93053, Regensburg, Germany
| | - Jonas Kuenzel
- Institute for Molecular and Cellular Anatomy, University of Regensburg, 93053, Regensburg, Germany
| | - Anna Thuesing
- Institute for Molecular and Cellular Anatomy, University of Regensburg, 93053, Regensburg, Germany
| | - Eric Pion
- Institute for Molecular and Cellular Anatomy, University of Regensburg, 93053, Regensburg, Germany
| | - Rose Yinghan Behncke
- Research Group 'Lymphovascular Medicine and Translational 3D-Histopathology', Institute of Medical and Human Genetics, Charité-Universitätsmedizin Berlin, 13353, Berlin, Germany
- Berlin Institute of Health at Charité-Universitätsmedizin Berlin, BIH Center for Regenerative Therapies, 13353, Berlin, Germany
| | - Rene Haegerling
- Research Group 'Lymphovascular Medicine and Translational 3D-Histopathology', Institute of Medical and Human Genetics, Charité-Universitätsmedizin Berlin, 13353, Berlin, Germany
- Berlin Institute of Health at Charité-Universitätsmedizin Berlin, BIH Center for Regenerative Therapies, 13353, Berlin, Germany
- Research Group 'Development and Disease', Max Planck Institute for Molecular Genetics, 14195, Berlin, Germany
- Berlin Institute of Health at Charité-Universitätsmedizin Berlin, BIH Academy, Clinician Scientist Program, 10117, Berlin, Germany
| | - Dieter Fuchs
- FUJIFILM VisualSonics, Inc., 1114 AB, Amsterdam, The Netherlands
| | - Andre Kraus
- Department of Nephrology and Hypertension, Friedrich-Alexander University Erlangen-Nürnberg, 91054, Erlangen, Germany
| | - Bjoern Buchholz
- Department of Nephrology and Hypertension, Friedrich-Alexander University Erlangen-Nürnberg, 91054, Erlangen, Germany
| | - Boqiang Huang
- Institute of Image Analysis and Computer Vision, Faculty of Informatics and Data Science, University of Regensburg, 93053, Regensburg, Germany
| | - Dorit Merhof
- Institute of Image Analysis and Computer Vision, Faculty of Informatics and Data Science, University of Regensburg, 93053, Regensburg, Germany
| | - Jens M Werner
- Department of Surgery, University Hospital Regensburg, 93053, Regensburg, Germany
| | - Katharina M Schmidt
- Department of Surgery, University Hospital Regensburg, 93053, Regensburg, Germany
| | - Christina Hackl
- Department of Surgery, University Hospital Regensburg, 93053, Regensburg, Germany
| | - Thiha Aung
- Institute for Molecular and Cellular Anatomy, University of Regensburg, 93053, Regensburg, Germany
- Faculty of Applied Healthcare Science, Deggendorf Institute of Technology, 94469, Deggendorf, Germany
| | - Silke Haerteis
- Institute for Molecular and Cellular Anatomy, University of Regensburg, 93053, Regensburg, Germany.
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Oliinyk D, Eigenberger A, Felthaus O, Haerteis S, Prantl L. Chorioallantoic Membrane Assay at the Cross-Roads of Adipose-Tissue-Derived Stem Cell Research. Cells 2023; 12:cells12040592. [PMID: 36831259 PMCID: PMC9953848 DOI: 10.3390/cells12040592] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2023] [Revised: 02/09/2023] [Accepted: 02/10/2023] [Indexed: 02/15/2023] Open
Abstract
With a history of more than 100 years of different applications in various scientific fields, the chicken chorioallantoic membrane (CAM) assay has proven itself to be an exceptional scientific model that meets the requirements of the replacement, reduction, and refinement principle (3R principle). As one of three extraembryonic avian membranes, the CAM is responsible for fetal respiration, metabolism, and protection. The model provides a unique constellation of immunological, vascular, and extracellular properties while being affordable and reliable at the same time. It can be utilized for research purposes in cancer biology, angiogenesis, virology, and toxicology and has recently been used for biochemistry, pharmaceutical research, and stem cell biology. Stem cells and, in particular, mesenchymal stem cells derived from adipose tissue (ADSCs) are emerging subjects for novel therapeutic strategies in the fields of tissue regeneration and personalized medicine. Because of their easy accessibility, differentiation profile, immunomodulatory properties, and cytokine repertoire, ADSCs have already been established for different preclinical applications in the files mentioned above. In this review, we aim to highlight and identify some of the cross-sections for the potential utilization of the CAM model for ADSC studies with a focus on wound healing and tissue engineering, as well as oncological research, e.g., sarcomas. Hereby, the focus lies on the combination of existing evidence and experience of such intersections with a potential utilization of the CAM model for further research on ADSCs.
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Affiliation(s)
- Dmytro Oliinyk
- Department of Plastic, Hand and Reconstructive Surgery, University Hospital Regensburg, Franz-Josef-Strauss-Allee 11, 93053 Regensburg, Germany
- Correspondence:
| | - Andreas Eigenberger
- Department of Plastic, Hand and Reconstructive Surgery, University Hospital Regensburg, Franz-Josef-Strauss-Allee 11, 93053 Regensburg, Germany
| | - Oliver Felthaus
- Department of Plastic, Hand and Reconstructive Surgery, University Hospital Regensburg, Franz-Josef-Strauss-Allee 11, 93053 Regensburg, Germany
| | - Silke Haerteis
- Institute for Molecular and Cellular Anatomy, Faculty for Biology and Preclinical Medicine, University of Regensburg, Universitätsstraße 31, 93053 Regensburg, Germany
| | - Lukas Prantl
- Department of Plastic, Hand and Reconstructive Surgery, University Hospital Regensburg, Franz-Josef-Strauss-Allee 11, 93053 Regensburg, Germany
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