Wang H M, Guo J D, Wang B S, Zhu B L
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.
School of Public Health, Nanjing Medical University, Nanjing 211166, China.
Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi. 2023 Jan 20;41(1):43-47. doi: 10.3760/cma.j.cn121094-20210907-00445.
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. 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. 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 、、、、、 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. 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.
对噪声性听力损失（NIHL）易感性基因的文献进行总结与分析，通过生物信息学方法筛选并获得关键基因，为NIHL的预防研究提供参考。2021年9月，基于中国知网（CNKI）、美国国立医学图书馆生物医学信息数据库（NCBI Pubmed）和科学引文索引（Web of Science）数据库，对1999年至2020年与噪声性听力损失易感性相关的遗传学文献进行文献计量学分析和生物信息学分析。使用Endnote X9软件和WPS办公软件进行文献计量学分析，使用在线软件STRING和Cytoscape软件进行生物信息学分析。该研究共纳入131篇文献，共涉及40个基因。文献计量学分析表明，131篇论文发表在63种生物医学期刊上，其中包括36篇中文文章和95篇英文文章；2020年发表的文章数量最多，为19篇。生物信息学分析表明，……等基因在相互作用网络中起关键作用。涉及的通路主要包括丝裂原活化蛋白激酶激酶（MAP2K）和丝裂原活化蛋白激酶（MAPK）激活、磷酸酶和张力蛋白同源物（PTEN）调控、p53依赖的G1期DNA损伤反应、BRAF和RAF融合信号传导等。噪声性听力损失的研究涉及多基因生物学信息，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。
