Large-scale phenotyping and characterization of age-related hearing loss in outbred CFW mice.

Autor: Du EY; Department of Otolaryngology - Head and Neck Surgery, University of California, San Diego, La Jolla, CA, USA., Boussaty EC; Department of Otolaryngology - Head and Neck Surgery, University of California, San Diego, La Jolla, CA, USA., La Monte OA; Department of Otolaryngology - Head and Neck Surgery, University of California, San Diego, La Jolla, CA, USA; University of California, San Diego School of Medicine, La Jolla, CA, USA., Dixon PR; Department of Otolaryngology - Head and Neck Surgery, University of California, San Diego, La Jolla, CA, USA., Zhou TY; University of California, San Diego, La Jolla, CA, USA., Friedman RA; Department of Otolaryngology - Head and Neck Surgery, University of California, San Diego, La Jolla, CA, USA. Electronic address: rafriedman@health.ucsd.edu.
Jazyk: angličtina
Zdroj: Hearing research [Hear Res] 2022 Oct; Vol. 424, pp. 108605. Date of Electronic Publication: 2022 Sep 05.
DOI: 10.1016/j.heares.2022.108605
Abstrakt: Age-related hearing loss (ARHL), or presbycusis, is one of the most prevalent conditions affecting the global population. A substantial fraction of patients with ARHL have no identifiable mutation despite over a hundred having been discovered, suggesting unidentified monogenic or polygenic causes. In this study, we investigated the hearing function of the aging outbred CFW mice through auditory brainstem response (ABR) thresholds. Through the characterization of 1,132 ABRs, we observed significant variation in both absolute thresholds and the effect of aging. We identify eight distinct patterns of hearing loss and were able to categorize nearly all data within these eight categories. Proportions within each category varied immensely between aging timepoints. We observe a small but consistent hearing deficit in female CFW mice. The resulting phenotypic data are a necessity for ARHL association mapping at a higher resolution than has previously been achieved and provides a new resource for studying ARHL.
(Copyright © 2022 Elsevier B.V. All rights reserved.)
Databáze: MEDLINE
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