scholarly journals SOD2 V16A SNP in the Mitochondrial Targeting Sequence is Associated with Noise Induced Hearing Loss in Chinese Workers

2010 ◽  
Vol 28 (3) ◽  
pp. 137-147 ◽  
Author(s):  
Yi-Min Liu ◽  
Xu-Dong Li ◽  
Xiao Guo ◽  
Bin Liu ◽  
Ai-Hua Lin ◽  
...  
Keyword(s):  
Hearing Loss ◽  
Noise Exposure ◽  
Noise Induced Hearing Loss ◽  
Nucleotide Polymorphisms ◽  
Mitochondrial Targeting ◽  
Chinese Han ◽  
Chinese Workers ◽  
Superoxide Dismutase Gene ◽  
Susceptibility To Noise ◽  
Main Effects

Objective:To investigate whether single nucleotide polymorphisms (SNPs) in the Mn-superoxide dismutase gene (SOD2) underlie the susceptibility to noise-induced hearing loss (NIHL).Methods:Audiometric data from 2400 Chinese Han workers who exposed to occupational noise were analyzed. DNA samples were collected from the 10% most susceptible and the 10% most resistant individuals, and five SNPs (SOD2 rs2842980, rs5746136, rs2758331, rs4880 and rs5746092) were genotyped by Taqman SNP Genotyping Kits. The SNP main effects and interactions between noise exposure and SNP were analyzed using logistic regression. Haplotypes were analyzed by using Haploview software.Results:The CT genotype of rs4880 (SOD2 V16A SNP) was associated with a higher risk of NIHL (covariates-adjusted OR, 2.18; 95% CI, 1.34–3.54,P= 0.002). Haplotype analysis revealed that the frequency of AGCCG at the five SNP loci was significantly higher in the susceptible group (P= 0.020). With AGCTG as the reference, the OR (95% CI) was 2.63 (1.14, 6.06). The rs4880 polymorphisms imposed larger effects when the carriers were exposed to higher levels of noise, indicating the interaction between SNP and noise exposure.Conclusions:Our results suggest that SOD2 V16A SNP in the mitochondrial targeting sequence is associated with noise induced hearing loss in Chinese workers, and this effect was enhanced by higher levels of noise exposure.

Salt-Inducible Kinase 3 Haplotypes Associated with Noise-Induced Hearing Loss in Chinese Workers

2020 ◽  
Vol 25 (4) ◽  
pp. 200-208
Author(s):  
Haoyang Yin ◽  
Jiadi Guo ◽  
Enmin Ding ◽  
Hengdong Zhang ◽  
Lei Han ◽  
...  
Keyword(s):  
Hearing Loss ◽  
Noise Exposure ◽  
Noise Induced Hearing Loss ◽  
Nucleotide Polymorphisms ◽  
Multifactor Dimensionality Reduction Analysis ◽  
Work Time ◽  
Single Nucleotide ◽  
Chinese Workers ◽  
Hearing Damage ◽  
Textile Factory

Introduction: Noise-induced hearing loss (NIHL) is a common occupational disease that represents an irreversible hearing damage to the auditory system. It has been identified as a complicated disease involving both environmental and genetic factors. More efforts need to be made to explore the genes associated with susceptibility to NIHL. The main aim of this research is to detect the associations between SIK3 polymorphisms and NIHL susceptibility in Han people in China. Methods: A case-control study was performed in 586 cases and 639 controls in a textile factory matched for sex, age, smoking, drinking, work time with noise, and intensity of noise exposure. Three single nucleotide polymorphisms (SNPs) (rs493134, rs6589574, and rs7121898) of SIK3 were genotyped in the participants. Then, the main influences of the SNPs on and their interactions with NIHL were assessed. Results: Under the allelic model, distributions of rs493134 T, rs6589574 G, and rs7121898 A in the NIHL group are statistically different from those of the normal group (p = 0.001, p < 0.001, and p = 0.019, respectively). The following haplotype analysis shows that TAA (rs493134-rs6589574-rs7121898) may have a protective effect, while TGA (rs493134-rs6589574-rs7121898) (OR = 1.49, 95% CI = 1.25–1.79) may be a risk factor for NIHL. Multifactor dimensionality reduction analysis shows that the interaction of the 3 selected SNPs is associated with NIHL susceptibility (OR = 1.88, 95% CI = 1.50–2.36). Conclusion: The results suggest that 3 SNPs (rs493134, rs6589574, and rs7121898) of SIK3 may be an important part of NIHL susceptibility and can be applied in the prevention, early diagnosis, and treatment of NIHL in noise-exposed Chinese workers.

scholarly journals Relationship between CDH23 gene and risk of noise-induced hearing loss

2021 ◽  
Author(s):  
Jie Jiao ◽  
Shanfa Yu ◽  
Guizhen Gu ◽  
Guoshun Chen ◽  
Huanling Zhang ◽  
...  
Keyword(s):  
Hearing Loss ◽  
Noise Exposure ◽  
Control Group ◽  
Case Group ◽  
Noise Induced Hearing Loss ◽  
Nucleotide Polymorphisms ◽  
Significant Relationships ◽  
Increased Risk ◽  
Main Effects ◽  
The Relationship

Abstract Objective: To investigate the relationship between CDH23 gene and the risk of noise-induced hearing loss (NIHL).Methods: This was a case-control study. Noise-exposed workers worked in a steel factory in North China was recruited and been divided into two groups: the case group (BHFTA ≥40 dB) and the control group (BHFTA<25 dB). We analyzed the association among 18 single nucleotide polymorphisms (SNPs) in CDH23 and NIHL risk using the generalized multifactor dimensionality reduction (GMDR) method. Logistic regression was performed to analyze the main effects of SNPs and the interactions between CNE and SNPs adjusting cumulative noise exposure (CNE), smoking, drinking, physical exercise and hypertension. Results: In this study, 776 subjects of period I and 1117 subjects of period I+II were recruited. The results showed that subjects who carried the AA genotype of rs3802711possessed significantly increased risk of NIHL than those carrying GG (OR: 2.71; 95% CI:1.15, 6.39) and GA+GG (OR: 2.54; 95% CI: 1.09, 6.00) in period I, respectively. For rs11592462, subjects carrying the GG genotype showed a significantly increased risk of NIHL compared with the subjects. Significant relationships were showed between rs10999947, rs3802711, rs10762480, rs3752751, rs3752752, rs3747867, and rs11592462 for NIHL overall and various CNE strata. There was no significant association between the rs1227049 - rs3752752 - rs10999947 - rs3752751 - rs10762480 - rs3802711 - rs11592462 - rs4747195 - rs4747194 - rs10466026 haplotypes and NIHL risk. Conclusions: The genetic variation in the CDH23 gene might play an important role in determining individual susceptibility to NIHL.

Targeted Deletion of the Cytosolic Cu/Zn-Superoxide Dismutase Gene (Sod1) Increases Susceptibility to Noise-Induced Hearing Loss

1999 ◽  
Vol 4 (5) ◽  
pp. 237-246 ◽  
Author(s):  
Kevin K. Ohlemiller ◽  
Sandra L. McFadden ◽  
Da-Lian Ding ◽  
Dorothy G. Flood ◽  
Andrew G. Reaume ◽  
...  
Keyword(s):  
Superoxide Dismutase ◽  
Hearing Loss ◽  
Noise Induced Hearing Loss ◽  
Targeted Deletion ◽  
Superoxide Dismutase Gene ◽  
Susceptibility To Noise

MicroRNAs in Noise-Induced Hearing Loss and their Regulation by Oxidative Stress and Inflammation

2020 ◽  
Vol 21 (12) ◽  
pp. 1216-1224
Author(s):  
Fatemeh Forouzanfar ◽  
Samira Asgharzade
Keyword(s):  
Oxidative Stress ◽  
Hearing Loss ◽  
Hair Cell ◽  
Noise Exposure ◽  
Cell Damage ◽  
Sensory Cells ◽  
Noise Induced Hearing Loss ◽  
Irreversible Damage ◽  
Open Access Journals

Noise exposure (NE) has been recognized as one of the causes of sensorineural hearing loss (SNHL), which can bring about irreversible damage to sensory hair cells in the cochlea, through the launch of oxidative stress pathways and inflammation. Accordingly, determining the molecular mechanism involved in regulating hair cell apoptosis via NE is essential to prevent hair cell damage. However, the role of microRNAs (miRNAs) in the degeneration of sensory cells of the cochlea during NE has not been so far uncovered. Thus, the main purpose of this study was to demonstrate the regulatory role of miRNAs in the oxidative stress pathway and inflammation induced by NE. In this respect, articles related to noise-induced hearing loss (NIHL), oxidative stress, inflammation, and miRNA from various databases of Directory of Open Access Journals (DOAJ), Google Scholar, PubMed; Library, Information Science & Technology Abstracts (LISTA), and Web of Science were searched and retrieved. The findings revealed that several studies had suggested that up-regulation of miR-1229-5p, miR-451a, 185-5p, 186 and down-regulation of miRNA-96/182/183 and miR-30b were involved in oxidative stress and inflammation which could be used as biomarkers for NIHL. There was also a close relationship between NIHL and miRNAs, but further research is required to prove a causal association between miRNA alterations and NE, and also to determine miRNAs as biomarkers indicating responses to NE.

Noise Exposure and Hearing Disorders

2017 ◽  
Author(s):  
David C. Byrne ◽  
Thais C. Morata
Keyword(s):  
Hearing Loss ◽  
Noise Exposure ◽  
Hearing Protection ◽  
Noise Induced Hearing Loss ◽  
Hearing Disorders ◽  
Industrial Noise ◽  
Significant Impairment ◽  
Protection Devices ◽  
The Impact ◽  
Occupational Hearing Loss

Exposure to industrial noise and the resulting effect of occupational hearing loss is a common problem in nearly all industries. This chapter describes industrial noise exposure, its assessment, and hearing disorders that result from overexposure to noise. Beginning with the properties of sound, noise-induced hearing loss and other effects of noise exposure are discussed. The impact of hearing disorders and the influence of other factors on hearing loss are described. Typically, noise-induced hearing loss develops slowly, and usually goes unnoticed until a significant impairment has occurred. Fortunately, occupational hearing loss is nearly always preventable. Therefore, this chapter gives particular attention to recommendations for measures to prevent occupational hearing loss such as engineering noise controls and hearing protection devices.

scholarly journals Contributions and limitations of using machine learning to predict noise-induced hearing loss

2021 ◽  
Author(s):  
Feifan Chen ◽  
Zuwei Cao ◽  
Emad M. Grais ◽  
Fei Zhao
Keyword(s):  
Machine Learning ◽  
Hearing Loss ◽  
Roc Curve ◽  
Prediction Error ◽  
Noise Exposure ◽  
Model Construction ◽  
Support Vector ◽  
Exposure Level ◽  
Noise Induced Hearing Loss ◽  
Current Review

Abstract Purpose Noise-induced hearing loss (NIHL) is a global issue that impacts people’s life and health. The current review aims to clarify the contributions and limitations of applying machine learning (ML) to predict NIHL by analyzing the performance of different ML techniques and the procedure of model construction. Methods The authors searched PubMed, EMBASE and Scopus on November 26, 2020. Results Eight studies were recruited in the current review following defined inclusion and exclusion criteria. Sample size in the selected studies ranged between 150 and 10,567. The most popular models were artificial neural networks (n = 4), random forests (n = 3) and support vector machines (n = 3). Features mostly correlated with NIHL and used in the models were: age (n = 6), duration of noise exposure (n = 5) and noise exposure level (n = 4). Five included studies used either split-sample validation (n = 3) or ten-fold cross-validation (n = 2). Assessment of accuracy ranged in value from 75.3% to 99% with a low prediction error/root-mean-square error in 3 studies. Only 2 studies measured discrimination risk using the receiver operating characteristic (ROC) curve and/or the area under ROC curve. Conclusion In spite of high accuracy and low prediction error of machine learning models, some improvement can be expected from larger sample sizes, multiple algorithm use, completed reports of model construction and the sufficient evaluation of calibration and discrimination risk.

scholarly journals Effect of Phlorofucofuroeckol A and Dieckol Extracted from Ecklonia cava on Noise-induced Hearing Loss in a Mouse Model

Marine Drugs ◽  
2021 ◽  
Vol 19 (8) ◽  
pp. 443
Author(s):  
Hyunjun Woo ◽  
Min-Kyung Kim ◽  
Sohyeon Park ◽  
Seung-Hee Han ◽  
Hyeon-Cheol Shin ◽  
...  
Keyword(s):  
Hearing Loss ◽  
Hair Cell ◽  
Noise Exposure ◽  
Radical Scavenging ◽  
Threshold Shift ◽  
Ecklonia Cava ◽  
Control Group ◽  
Noise Induced Hearing Loss ◽  
Antioxidant Agents ◽  
Brainstem Response

One of the well-known causes of hearing loss is noise. Approximately 31.1% of Americans between the ages of 20 and 69 years (61.1 million people) have high-frequency hearing loss associated with noise exposure. In addition, recurrent noise exposure can accelerate age-related hearing loss. Phlorofucofuroeckol A (PFF-A) and dieckol, polyphenols extracted from the brown alga Ecklonia cava, are potent antioxidant agents. In this study, we investigated the effect of PFF-A and dieckol on the consequences of noise exposure in mice. In 1,1-diphenyl-2-picrylhydrazyl assay, dieckol and PFF-A both showed significant radical-scavenging activity. The mice were exposed to 115 dB SPL of noise one single time for 2 h. Auditory brainstem response(ABR) threshold shifts 4 h after 4 kHz noise exposure in mice that received dieckol were significantly lower than those in the saline with noise group. The high-PFF-A group showed a lower threshold shift at click and 16 kHz 1 day after noise exposure than the control group. The high-PFF-A group also showed higher hair cell survival than in the control at 3 days after exposure in the apical turn. These results suggest that noise-induced hair cell damage in cochlear and the ABR threshold shift can be alleviated by dieckol and PFF-A in the mouse. Derivatives of these compounds may be applied to individuals who are inevitably exposed to noise, contributing to the prevention of noise-induced hearing loss with a low probability of adverse effects.

Field Monitoring of Otoacoustic Emissions During Noise Exposure: Pilot Study in Controlled Environment

2017 ◽  
Vol 26 (3S) ◽  
pp. 352-368 ◽  
Author(s):  
Vincent Nadon ◽  
Annelies Bockstael ◽  
Dick Botteldooren ◽  
Jérémie Voix
Keyword(s):  
Hearing Loss ◽  
Pilot Study ◽  
Otoacoustic Emissions ◽  
Ambient Noise ◽  
Noise Exposure ◽  
High Temporal Resolution ◽  
Noise Induced Hearing Loss ◽  
Conservation Programs ◽  
Hearing Conservation ◽  
Hearing Status

Purpose In spite of all the efforts to implement workplace hearing conservation programs, noise-induced hearing loss remains the leading cause of disability for North American workers. Nonetheless, an individual's susceptibility to noise-induced hearing loss can be estimated by monitoring changes in hearing status in relation to the level of ambient noise exposure. The purpose of this study was to validate an approach that could improve workplace hearing conservation practices. The approach was developed using a portable and robust system designed for noisy environments and consisted of taking continuous measurements with high temporal resolution of the health status of the inner ear using otoacoustic emissions (OAEs). Method A pilot study was conducted in a laboratory, exposing human subjects to industrial noise recordings at realistic levels. In parallel, OAEs were measured periodically using the designed OAE system as well as with a commercially available OAE system, used as a reference. Results Variations in OAE levels were analyzed and discussed along with the limitations of the reference and designed systems. Conclusions This study demonstrates that the monitoring of an individual's OAEs could be useful in monitoring temporary changes in hearing status induced by exposure to ambient noise and could be considered as a new tool for effective hearing conservation programs in the workplace.

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