Visualization of Reissner's membrane in the mouse inner ear using highly sensitive magnetic resonance imaging analysis.
Autor: | Harada S; Department of Neuroscience and Cell Biology, Osaka University Graduate School of Medicine, Osaka 565-0871, Japan; Department of Otorhinolaryngology-Head and Neck Surgery, Osaka University Graduate School of Medicine, Suita, Osaka 565-0871, Japan., Koyama Y; Department of Neuroscience and Cell Biology, Osaka University Graduate School of Medicine, Osaka 565-0871, Japan; Addiction Research Unit, Osaka Psychiatric Research Center, Osaka Psychiatric Medical Center, Osaka, 541-8567, Japan; Global Center for Medical Engineering and Informatics, Osaka University, Suita, 565-0871, Japan; Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives (OTRI), Osaka University, Suita 565-0871, Japan. Electronic address: koyama@anat2.med.osaka-u.ac.jp., Yoshioka Y; Graduate School of Frontier Biosciences, Osaka University, Osaka 565-0871, Japan; Center for Information and Neural Networks, National Institute of Information and Communications Technology (NICT) and Osaka University, Osaka 565-0871, Japan; Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Osaka 565-0871, Japan. Electronic address: yoshioka@fbs.osaka-u.ac.jp., Inohara H; Department of Otorhinolaryngology-Head and Neck Surgery, Osaka University Graduate School of Medicine, Suita, Osaka 565-0871, Japan. Electronic address: hinohara@ent.med.osaka-u.ac.jp., Shimada S; Department of Neuroscience and Cell Biology, Osaka University Graduate School of Medicine, Osaka 565-0871, Japan; Addiction Research Unit, Osaka Psychiatric Research Center, Osaka Psychiatric Medical Center, Osaka, 541-8567, Japan; Global Center for Medical Engineering and Informatics, Osaka University, Suita, 565-0871, Japan. Electronic address: shimada@anat1.med.osaka-u.ac.jp. |
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Jazyk: | angličtina |
Zdroj: | Biochemical and biophysical research communications [Biochem Biophys Res Commun] 2024 Sep 03; Vol. 723, pp. 150153. Date of Electronic Publication: 2024 May 27. |
DOI: | 10.1016/j.bbrc.2024.150153 |
Abstrakt: | Although research on hearing loss, including the identification of causative genes, has become increasingly active, the pathogenic mechanism of hearing loss remains unclear. One of the reasons for this is that the structure of the inner ear of mice, which is commonly used as a genetically modified animal model, is too small and complex, making it difficult to accurately capture abnormalities and dynamic changes in vivo. Especially, Reissner's membrane is a very important structure that separates the perilymph and endolymph of the inner ear. This malformation or damage induces abnormalities in hearing and balance. Until now, imaging analyses, such as magnetic resonance imaging (MRI) and computed tomography, are performed to investigate the inner ear structure in vivo; however, it has been difficult to analyze the small inner ear structure of mice owing to resolution. Therefore, there is an urgent need to develop an image analysis method that can accurately capture the structure of the inner ear of mice including Reissner's membrane, both dynamically and statically. This study aimed to investigate whether it is possible to accurately capture the structure (e.g., Reissner's membrane) and abnormalities of the inner ear of mice using an 11.7 T MRI. By combining two types of MRI methods, in vivo and ex vivo, we succeeded for the first time in capturing the fine structure of the normal mouse inner ear, such as the Reissner's membrane, and inflammatory lesions of otitis media mouse models in detail and accurately. In the future, we believe that understanding the state of Reissner's membrane during living conditions will greatly contribute to the development of research on inner ear issues, such as hearing loss. Competing Interests: Declaration of competing interest The authors report no conflict of interest. (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.) |
Databáze: | MEDLINE |
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