Literature DB >> 26783139

Understanding auditory neuropathy spectrum disorder: a systematic review in transgenic mouse models.

Li Wang1,2, Jing Guan1, Hongyang Wang1, Lan Lan1, Qiujing Zhang1, Liang Zong1, Wan Du1, Wenping Xiong1, Fengjiao Li1, Kaiwen Wu1, Dayong Wang1, Qiuju Wang3.   

Abstract

Auditory neuropathy spectrum disorder is a unique group of hearing dysfunctions characterized by preserved outer hair cell function and abnormal neural conduction of the auditory pathway. However, the pathogenic mechanism underlying this disorder is not clear. We therefore performed a systematic review of genetic mouse models with different gene mutations to provide a valuable tool for better understanding of the process and the possible molecular mechanisms. Of the 18 articles retrieved, nine met the required criteria. All biochemical, histological, and electrophysiological results were recorded for each of the mouse models, as was the transgenic technology. This review provides a summary of different mouse models that may play an important role in the diagnosis and management of auditory neuropathy spectrum disorder in the future.

Entities:  

Keywords:  auditory neuropathy spectrum disorder; pathogenesis; systematic review; transgenic mouse models

Mesh:

Year:  2016        PMID: 26783139     DOI: 10.1007/s11427-015-4985-2

Source DB:  PubMed          Journal:  Sci China Life Sci        ISSN: 1674-7305            Impact factor:   6.038


  2 in total

1.  Pegylated Insulin-Like Growth Factor 1 attenuates Hair Cell Loss and promotes Presynaptic Maintenance of Medial Olivocochlear Cholinergic Fibers in the Cochlea of the Progressive Motor Neuropathy Mouse.

Authors:  Linda Bieniussa; Baran Kahraman; Johannes Skornicka; Annemarie Schulte; Johannes Voelker; Sibylle Jablonka; Rudolf Hagen; Kristen Rak
Journal:  Front Neurol       Date:  2022-06-03       Impact factor: 4.086

2.  Phenotype prediction of Mohr-Tranebjaerg syndrome (MTS) by genetic analysis and initial auditory neuropathy.

Authors:  Hongyang Wang; Li Wang; Ju Yang; Linwei Yin; Lan Lan; Jin Li; Qiujing Zhang; Dayong Wang; Jing Guan; Qiuju Wang
Journal:  BMC Med Genet       Date:  2019-01-11       Impact factor: 2.103

  2 in total

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