Lu Ding1, Jing Liu2, Huan-Xi Shen3, Li-Ping Pan2, Qing-Dong Liu4, Heng-Dong Zhang5, Lei Han5, Li-Guo Shuai6, En-Min Ding2, Qiu-Ni Zhao4, Bo-Shen Wang7, Bao-Li Zhu8. 1. Suzhou Municipal Center for Disease Prevention and Control, Suzhou, Jiangsu, China. 2. Department of Occupational and Environmental Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China. 3. Kunshan Municipal Center for Disease Prevention and Control, Suzhou, Jiangsu, China. 4. Department of Occupational and Environmental Health, School of Public Health, Southeast University, Nanjing, Jiangsu, China. 5. Department of Prevention and Control for Occupational Disease, Jiangsu Provincial Center for Disease Prevention and Control, Nanjing, Jiangsu, China. 6. School of Mechanical Engineering, Southeast University, Nanjing, Jiangsu, China. 7. Department of Occupational and Environmental Health, School of Public Health, Nantong University, Nantong, Jiangsu, China. 8. Department of Prevention and Control for Occupational Disease, Jiangsu Provincial Center for Disease Prevention and Control, Nanjing, Jiangsu, China. Electronic address: zhubl@jscdc.cn.
Abstract
BACKGROUND: Circulating microRNAs (miRNAs) have attracted interests as non-invasive biomarkers of physiological and pathological conditions, which may be applied in noise-induced hearing loss (NIHL). However, no epidemiology studies have yet examined the potential effects of NIHL or noise exposure on miRNA expression profiles. OBJECTIVES: We sought to identify permanent NIHL-related miRNAs and to predict the biological functions of the putative genes encoding the indicated miRNAs. METHODS: In the discovery stage, we used a microarray assay to detect the miRNA expression profiles between pooled plasma samples from 10 noise-exposed individuals with normal hearing and 10 NIHL patients. In addition, we conducted a preliminary validation of six candidate miRNAs in the same 20 workers. Subsequently, three miRNAs were selected for expanded validation in 23 non-exposed individuals with normal hearing and 46 noise-exposed textile workers which including 23 noise-exposed workers with normal hearing and 23 NIHL patients. Moreover, we predicted the biological functions of the putative target genes using a Gene Ontology (GO) function enrichment analysis. RESULTS: In the discovery stage, compared with the noise exposures with normal hearing, 73 miRNAs demonstrated at least a 1.5-fold differential expression in the NIHL patients. In the preliminary validation, compared with the noise exposures, the plasma levels of miR-16-5p, miR-24-3p, miR-185-5p and miR-451a were all upregulated (P < 0.001) in the NIHL patients. In the expanded validation stage, compared with the non-exposures, the plasma levels of miR-24, miR-185-5p and miR-451a were all significantly downregulated (P < 0.001) in the exposures. And compared with the noise exposures, the plasma levels of miR-185-5p and miR-451a were slightly elevated (P < 0.001) in the NIHL patients, which were consistent with the results of preliminary validation and microarray analysis. CONCLUSION: The two indicated plasma miRNAs may be biomarkers of indicating responses to noise exposure. However, further studies are necessary to prove the causal association between miRNAs changes and noise exposure, and to determine whether these two miRNAs are clear biomarkers to noise exposure.
BACKGROUND: Circulating microRNAs (miRNAs) have attracted interests as non-invasive biomarkers of physiological and pathological conditions, which may be applied in noise-induced hearing loss (NIHL). However, no epidemiology studies have yet examined the potential effects of NIHL or noise exposure on miRNA expression profiles. OBJECTIVES: We sought to identify permanent NIHL-related miRNAs and to predict the biological functions of the putative genes encoding the indicated miRNAs. METHODS: In the discovery stage, we used a microarray assay to detect the miRNA expression profiles between pooled plasma samples from 10 noise-exposed individuals with normal hearing and 10 NIHL patients. In addition, we conducted a preliminary validation of six candidate miRNAs in the same 20 workers. Subsequently, three miRNAs were selected for expanded validation in 23 non-exposed individuals with normal hearing and 46 noise-exposed textile workers which including 23 noise-exposed workers with normal hearing and 23 NIHL patients. Moreover, we predicted the biological functions of the putative target genes using a Gene Ontology (GO) function enrichment analysis. RESULTS: In the discovery stage, compared with the noise exposures with normal hearing, 73 miRNAs demonstrated at least a 1.5-fold differential expression in the NIHL patients. In the preliminary validation, compared with the noise exposures, the plasma levels of miR-16-5p, miR-24-3p, miR-185-5p and miR-451a were all upregulated (P < 0.001) in the NIHL patients. In the expanded validation stage, compared with the non-exposures, the plasma levels of miR-24, miR-185-5p and miR-451a were all significantly downregulated (P < 0.001) in the exposures. And compared with the noise exposures, the plasma levels of miR-185-5p and miR-451a were slightly elevated (P < 0.001) in the NIHL patients, which were consistent with the results of preliminary validation and microarray analysis. CONCLUSION: The two indicated plasma miRNAs may be biomarkers of indicating responses to noise exposure. However, further studies are necessary to prove the causal association between miRNAs changes and noise exposure, and to determine whether these two miRNAs are clear biomarkers to noise exposure.
Authors: Joaquin E Jimenez; Aida Nourbakhsh; Brett Colbert; Rahul Mittal; Denise Yan; Carlos L Green; Eric Nisenbaum; George Liu; Nicole Bencie; Jason Rudman; Susan H Blanton; Xue Zhong Liu Journal: Gene Date: 2020-04-15 Impact factor: 3.688
Authors: Veruscka Leso; Luca Fontana; Ferdinando Finiello; Luigi De Cicco; Maria Luigia Ercolano; Ivo Iavicoli Journal: Noise Health Date: 2020 Oct-Dec Impact factor: 0.867
Authors: Y H Li; Y Yang; Y T Yan; L W Xu; H Y Ma; Y X Shao; C J Cao; X Wu; M J Qi; Y Y Wu; R Chen; Y Hong; X H Tan; L Yang Journal: Braz J Med Biol Res Date: 2018-01-11 Impact factor: 2.590