The global hearing therapeutic pipeline: 2021

Isherwood, Beverley; Gonçalves, Ana Cláudia; Cousins, Rick; Holme, Ralph H.

doi:10.1016/j.drudis.2021.11.009

Cited by 26 publications

(10 citation statements)

References 66 publications

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“…In this way, the model can help to diagnose a hidden hearing loss and possibly also distinguish between its main causes, which is imperative in predicting the viability of implantation with a cochlear implant (Shearer and Hansen 2019) Due to its sufficiently detailed level of description, the model is also able to determine the effect of new mutations in genes responsible for hearing loss (Dror and Avraham 2010). In addition, in conjunction with experimental measurements, the model can serve as a tool to evaluate the effect of potential drugs targeting deafness (Isherwood et al 2022). Finally, a straightforward application of the model lies in the investigation of the functionality of cochlear implants.…”

Section: Discussionmentioning

confidence: 99%

From the outer ear to the nerve: A complete computer model of the peripheral auditory system

Ticháček

Mistrík

Jungwirth

2022

Preprint

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Computer models of the individual components of the peripheral auditory system – the outer, middle, and inner ears and the auditory nerve – have been developed in the past, with varying level of detail, breadth, and faithfulness of the underlying parameters. Here, we move modeling of the ear to the next level by presenting a complete, physiologically justified, bottom-up computer model based on up-to-date experimental data that integrates all these parts together in a seamless way. Such a model is instrumental for advancing quantitative understanding of the mechanism of hearing, as well as for devising next generation hearing aids and cochlear implants.

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Section: Discussionmentioning

confidence: 99%

From the outer ear to the nerve: A complete computer model of the peripheral auditory system

Ticháček

Mistrík

Jungwirth

2022

Preprint

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“…A better understanding of aspects of hearing impairment, as captured by a ‘deep phenotype’ of hearing loss, may reveal essential biomarkers desperately needed in advancing treatment [ 51 , 52 ]. We see this as a necessary step between understanding what is happening in the cochlea at a fundamental level and how it translates to a more functional level, captured by biomarkers or auditory profiles [ 50 , 52 ], ultimately leading to our ability to understand speech-in-noise.…”

Section: Discussionmentioning

confidence: 99%

“…Moreover, the categorization and identification of the site-of-lesion is important for patient selection for upcoming trials [ 51 , 52 ]. A deep auditory phenotype, possibly combined with a clear genotype when considering new forms of gene therapy, is thus essential for patient selection and for evaluation of inner ear therapeutic studies.…”

Section: Discussionmentioning

confidence: 99%

“…Furthermore, the lack of predictive power at the individual level suggests that other variables could explain more of the variance we observe within the groups. This deep phenotype of hearing loss is needed, if only to have a good tool for selecting suitable patients for new and upcoming inner ear therapeutic studies [ 51 ], as an example of precision medicine.…”

Section: Discussionmentioning

confidence: 99%

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Genetic Hearing Loss Affects Cochlear Processing

Lanting¹,

Snik²,

Leijendeckers³

et al. 2022

Genes

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The relationship between speech recognition and hereditary hearing loss is not straightforward. Underlying genetic defects might determine an impaired cochlear processing of sound. We obtained data from nine groups of patients with a specific type of genetic hearing loss. For each group, the affected cochlear site-of-lesion was determined based on previously published animal studies. Retrospectively obtained speech recognition scores in noise were related to several aspects of supra-threshold cochlear processing as assessed by psychophysical measurements. The differences in speech perception in noise between these patient groups could be explained by these factors and partially by the hypothesized affected structure of the cochlea, suggesting that speech recognition in noise was associated with a genetics-related malfunctioning of the cochlea. In particular, regression models indicate that loudness growth and spectral resolution best describe the cochlear distortions and are thus a good biomarker for speech understanding in noise.

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“…PedmarkTM (a sodium thiosulfate incorporating drug, effective in CIHL), Sonsuvi (an anti‐inflammatory and antiapoptotic drug effective for idiopathic SNHL), STR001 (an antioxidant effective in SSHL), and Otividex (a nuclear steroid receptor target, effective in Meniere's disease) are current treatments in phase 3 trials. [ 26 ]…”

Section: Current Technologies For the Treatment Of Hearing Lossmentioning

confidence: 99%