Literature DB >> 31795692

Noise-induced hearing loss: Translating risk from animal models to real-world environments.

Colleen G Le Prell1, Tanisha L Hammill2, William J Murphy3.   

Abstract

Noise-induced hearing loss (NIHL) is a common injury for service members and civilians. Effective prevention of NIHL with drug agents would reduce the prevalence of NIHL. There are a host of challenges in translation of investigational new drug agents from animals into human clinical testing, however. Initial articles in this special issue describe common pre-clinical (animal) testing paradigms used to assess potential otoprotective drug agents and design-related factors that impact translation of promising agents into human clinical trials. Additional articles describe populations in which NIHL has a high incidence and factors that affect individual vulnerability. While otoprotective drugs will ultimately be developed for use by specific noise-exposed populations, there has been little effort to develop pre-clinical (animal) models that accurately model exposure hazards across diverse human populations. To facilitate advances in the translational framework for NIHL otoprotection in pre-clinical and clinical testing, the overarching goals of the current series are to (1) review the animal models that have been used, highlighting the relevance to the human populations of interest, (2) provide insight into the populations for whom pharmaceutical interventions might, or might not, be appropriate, and (3) highlight the factors that drive the significant individual variability observed in humans.

Entities:  

Year:  2019        PMID: 31795692     DOI: 10.1121/1.5133385

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  6 in total

1.  The influence of self-reported noise exposure on 2ƒ12 distortion product otoacoustic emission level, fine structure, and components in a normal-hearing population.

Authors:  Gayla L Poling; Jonathan H Siegel; Jungwha Lee; Sumitrajit Dhar
Journal:  J Acoust Soc Am       Date:  2022-04       Impact factor: 1.840

2.  Time to Noise-Induced Hearing Loss among Different Type of Shift Work among Steel Workers: A Survival Study.

Authors:  Abolfazl Nikpour; Mohammad Gholami Fesharaki
Journal:  Iran J Public Health       Date:  2022-03       Impact factor: 1.479

3.  Noise-induced hearing loss and its prevention: Integration of data from animal models and human clinical trials.

Authors:  Colleen G Le Prell; Tanisha L Hammill; William J Murphy
Journal:  J Acoust Soc Am       Date:  2019-11       Impact factor: 1.840

4.  Deep Neural Network Model of Hearing-Impaired Speech-in-Noise Perception.

Authors:  Stephanie Haro; Christopher J Smalt; Gregory A Ciccarelli; Thomas F Quatieri
Journal:  Front Neurosci       Date:  2020-12-15       Impact factor: 4.677

Review 5.  Prevention of Noise-Induced Hearing Loss Using Investigational Medicines for the Inner Ear: Previous Trial Outcomes Should Inform Future Trial Design.

Authors:  Colleen G Le Prell
Journal:  Antioxid Redox Signal       Date:  2021-10-04       Impact factor: 7.468

6.  Increased Risk of Sensorineural Hearing Loss as a Result of Exposure to Air Pollution.

Authors:  Kuang-Hsi Chang; Stella Chin-Shaw Tsai; Chang-Yin Lee; Ruey-Hwang Chou; Hueng-Chuen Fan; Frank Cheau-Feng Lin; Cheng-Li Lin; Yi-Chao Hsu
Journal:  Int J Environ Res Public Health       Date:  2020-03-17       Impact factor: 3.390

  6 in total

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