[Bibliometric and bioinformatics analysis of genetic literature on susceptibility to noise induced hearing loss].

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.目的： 通过对噪声性听力损失易感性相关基因的文献计量学分析和生物信息学分析，了解当前该领域的研究趋势和热点基因，为今后进一步研究提供依据。 方法： 于2021年9月，基于中国知网（CNKI）、NCBI Pubmed数据库和Web of Science数据库，对1999至2020年与噪声听力易感性相关的遗传性文献进行计量学分析和生物信息学分析。文献计量学分析主要采用Endnote X9软件和WPS办公软件，生物信息学分析主要采用在线软件STRING和Cytoscape软件。 结果： 本次研究共纳入131篇文献，涉及40个相关基因。文献计量分析结果显示，63种生物医学期刊共发表论文131篇，其中中文36篇，英文95篇；发表文章最多的年份是2020年（19篇）；生物信息学分析表明，GAPDH、SOD2、SOD1、CAT、CASP3、IL6等基因在相互作用网络中起关键作用。涉及的通路主要有MAP2K和MAPK激活通路、PTEN调节通路、p53-依赖于G1 DNA损伤反应、BRAF和RAF融合信号通路等。 结论： 噪声性听力损失的研究涉及多基因的生物学信息，生物信息学分析有助于预测噪声性听力损失的发生和发展。.