Observational studyPloS one2020
Paraoxonase 3 gene polymorphisms are associated with occupational noise-induced deafness: A matched case-control study from China.
Observational study in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 19 citations in OpenAlex.
- Polymorphisms in MTNR1A (rs2119882) and CLOCK (rs1801260) genes are associated with facial acne susceptibility in gas station workers.PloS one · 2025Article
- [Research progress in genetics of noise-induced hearing loss].Lin chuang er bi yan hou tou jing wai ke za zhi = Journal of clinical otorhinolaryngology head and neck surgery · 2024Review
- Interactions of genetic variations in FAS, GJB2 and PTPRN2 are associated with noise-induced hearing loss: a case-control study in China.BMC medical genomics · 2024Article
- The Role of Genetic Variants in the Susceptibility of Noise-Induced Hearing Loss.Frontiers in cellular neuroscience · 2022Review
- Paraoxonase Role in Human Neurodegenerative Diseases.Antioxidants (Basel, Switzerland) · 2020Review
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
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Abstract
Chronic exposure to noise is a detrimental environmental factor that can contribute to occupational noise-induced deafness (ONID) in industrial workers. ONID is caused by both environmental and genetic factors, and negatively impacts workers and manufacturing industries in China. Polymorphisms in the paraoxonase 2 gene (PON2) is associated with noise-induced hearing loss, and PON3 expression may modulate oxidative stress in cells and tissues by reducing the levels of reactive oxygen species, which are prominent in ONID. We conducted a matched case-control study to investigate whether PON3 polymorphisms and activity were associated with susceptibility to ONID. We genotyped PON3 single nucleotide polymorphisms (SNPs) using Sanger sequencing and measured the plasma PON3 activity using enzyme-linked immunosorbent assay. Conditional logistic regression models were fitted to evaluate the potential risk factors of ONID. A total of 300 subjects were included (n = 150 ONID and n = 150 control cases) from October 2017 to October 2019. We identified two types of genotypes for the PON3 SNPs. The independent risk factors for ONID were genotype CT and allele C with Odd's ratio (OR) = 2.12 (95% confidence interval [CI]: 1.18-3.84) and OR = 1.68 (95% CI: 1.06-2.66) for SNP rs11767787; AG and allele A with OR = 2.09 (95% CI: 1.25-3.47) and OR = 1.87 (95% CI: 1.19-2.93) for SNP rs13226149; and CT and allele T with OR = 2.59 (95% CI: 1.44-4.67) and OR = 1.95 (95% CI: 1.22-3.14) for SNP rs17882539, respectively. Furthermore, the plasma PON3 level (> 1504 U/L) was observed to be a protective factor associated with the lowest level of ONID (less than 991 U/L) after adjusting for confounding factors (OR = 0.27, 95% CI: 0.13-0.54). In conclusion, the PON3 polymorphisms rs11767787, rs13226149, and rs17882539 and plasma PON3 activity are associated with susceptibility to ONID in the Chinese population.
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