Study on Recovery Strategy of Hearing Loss & SGN Regeneration Under Physical Regulation
Abstract: The World Health Organization (WHO) reports that by 2050, nearly 2.5 billion people are expected to have some degree of hearing loss (HL) and at least 700 million will need hearing rehabilitation. Therefore, there is an urgent need to develop treatment strategies for HL. At present, the main treatment strategies for HL are hearing aids and cochlear implants (CIs), which cannot achieve a radical cure for HL. Relevant studies have shown that the most fundamental treatment strategy for sensorineural hearing loss (SNHL) is to regenerate hair cells and spiral ganglion neurons (SGNs) through stem cells to repair the structure and function of cochlea. In addition, physical stimulation strategies, such as electricity, light, and magnetism have also been used to promote SGN regeneration. This review systematically introduces the classification, principle and latest progress of the existing hearing treatment strategies and summarizes the advantages and disadvantages of each strategy. The research progress of physical regulation mechanism is discussed in detail. Finally, the problems in HL repair strategies are summarized and the future development direction is prospected, which could provide new ideas and technologies for the optimization of hearing treatment strategies and the research of SGN repair and regeneration through physical regulation.
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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Study on Recovery Strategy of Hearing Loss & SGN Regeneration Under Physical Regulation ; day:23 ; month:12 ; year:2024 ; extent:36
Advanced science ; (23.12.2024) (gesamt 36)
- Creator
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Li, Zhe
Gao, Yijia
Chen, Xingyu
Xu, Lei
Li, Zhou
Chai, Renjie
- DOI
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10.1002/advs.202410919
- URN
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urn:nbn:de:101:1-2412241327293.926829149245
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:35 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Li, Zhe
- Gao, Yijia
- Chen, Xingyu
- Xu, Lei
- Li, Zhou
- Chai, Renjie
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