Bibliometric and bioinformatics analysis of genetic literature on susceptibility to noise induced hearing loss.
10.3760/cma.j.cn121094-20210907-00445
- Author:
Hui Min WANG
1
;
Jia Di GUO
2
;
Bo Shen WANG
3
;
Bao Li ZHU
4
Author Information
1. Public Health Management Department, Affiliated Hospital of Yangzhou University, Yangzhou 225000, China School of Public Health, Southeast University, Nanjing 210000, China Jiangsu Province Center for Disease Control and Prevention, Nanjing 210009, China.
2. School of Public Health, Nanjing Medical University, Nanjing 211166, China.
3. School of Public Health, Southeast University, Nanjing 210000, China Jiangsu Province Center for Disease Control and Prevention, Nanjing 210009, China.
4. School of Public Health, Southeast University, Nanjing 210000, China School of Public Health, Nanjing Medical University, Nanjing 211166, China Jiangsu Province Center for Disease Control and Prevention, Nanjing 210009, China.
- Publication Type:Journal Article
- Keywords:
Bibliometrics analysis;
Bioinformatics analysis;
Hearing Loss;
Noise induced hearing loss (NIHL);
Noise, Occupational
- MeSH:
Humans;
Hearing Loss, Noise-Induced/epidemiology*;
Genetic Predisposition to Disease;
Polymorphism, Single Nucleotide;
Computational Biology;
Bibliometrics;
Noise, Occupational
- From:
Chinese Journal of Industrial Hygiene and Occupational Diseases
2023;41(1):43-47
- CountryChina
- Language:Chinese
-
Abstract:
Objective: To summarize and analyse of literature on the susceptibility genes of noise induced hearing loss (NIHL) , and the key genes were screened and obtained by bioinformatics method, so as to provide reference for the prevention research of NIHL. Methods: In September 2021, Based on CNKI, NCBI Pubmed database and Web of Science database, this paper conducted bibliometric analysis and bioinformatics analysis on the genetic literature related to the susceptibility to noise-induced hearing loss from 1999 to 2020. Endnote X9 software and the WPS office software were used for bibliometric analysis, and online software STRING and Cytoscape software were used for bioinformatics analysis. Results: A total of 131 literatures were included in the study, involving 40 genes in total. Bibliometric analysis shows that 131 papers which included 36 Chinese articles and 95 English articles were published in 63 biomedical journals; the highest number of published articles was 19 in 2020. Bioinformatics analysis suggests that GAPDH、SOD2、SOD1、CAT、CASP3、IL6 and other genes play a key role in the interaction network. The involved pathways mainly include MAP2K and MAPK activations, PTEN regulation, P53-depardent G1 DNA damage response, signaoling by BRAF and RAF fusions and soon. Conclusion: The study of noise induced hearing loss involves multi gene biological information, and bioinformatics analysis is helpful to predict the occurrence and development of noise induced hearing loss.
