Tao Ying, Qin Yi, Chen Sifan, Xu Tian, Lin Junhui, Su Diansan, Yu Weifeng, Chen Xuemei
Department of Anesthesiology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Key Laboratory of Anesthesiology (Shanghai Jiao Tong University), Ministry of Education, Shanghai, China.
Front Neurol. 2023 Nov 8;14:1264177. doi: 10.3389/fneur.2023.1264177. eCollection 2023.
Sleep is an important biological process and has been linked to many diseases; however, very little is known about which and how genes control and regulate sleep. Although technology has seen significant development, this issue has still not been adequately resolved. Therefore, we conducted a bibliometric analysis to assess the progress in research on sleep quality and associated genes over the past 2 decades. Through our statistical data and discussions, we aimed to provide researchers with better research directions and ideas, thus promoting the advancement of this field.
On December 29, 2022, we utilized bibliometric techniques, such as co-cited and cluster analysis and keyword co-occurrence, using tools such as CiteSpace, VOSviewer, and the Online Analysis Platform of Literature Metrology (http://bibliometric.com/), to conduct a thorough examination of the relevant publications extracted from the Web of Science Core Collection (WoSCC). Our analysis aimed to identify the emerging trends and hot spots in this field while also predicting their potential development in future.
Cluster analysis of the co-cited literature revealed the most popular terms relating to sleep quality and associated genes in the manner of cluster labels; these included genome-wide association studies (GWAS), circadian rhythms, obstructive sleep apnea (OSA), DNA methylation, and depression. Keyword burst detection suggested that obstructive sleep apnea, circadian clock, circadian genes, and polygenic risk score were newly emergent research hot spots.
Based on this bibliometric analysis of the publications in the last 20 years, a comprehensive analysis of the literature clarified the contributions, changes in research hot spots, and evolution of research techniques regarding sleep quality and associated genes. This research can provide medical staff and researchers with revelations into future directions of the study on the pathological mechanisms of sleep-related diseases.
睡眠是一个重要的生物学过程,与多种疾病相关;然而,对于哪些基因以及如何控制和调节睡眠,人们知之甚少。尽管技术有了显著发展,但这个问题仍未得到充分解决。因此,我们进行了一项文献计量分析,以评估过去20年睡眠质量及相关基因研究的进展。通过我们的统计数据和讨论,旨在为研究人员提供更好的研究方向和思路,从而推动该领域的发展。
2022年12月29日,我们利用文献计量技术,如共被引分析、聚类分析和关键词共现分析,使用CiteSpace、VOSviewer和文献计量在线分析平台(http://bibliometric.com/)等工具,对从科学网核心合集(WoSCC)中提取的相关出版物进行了全面审查。我们的分析旨在识别该领域的新兴趋势和热点,同时预测其未来的潜在发展。
对共被引文献的聚类分析以聚类标签的形式揭示了与睡眠质量及相关基因最相关的术语;这些术语包括全基因组关联研究(GWAS)、昼夜节律、阻塞性睡眠呼吸暂停(OSA)、DNA甲基化和抑郁症。关键词突发检测表明,阻塞性睡眠呼吸暂停、生物钟、昼夜节律基因和多基因风险评分是新出现的研究热点。
基于对过去20年出版物的这项文献计量分析,对文献的综合分析阐明了关于睡眠质量及相关基因的研究贡献、研究热点的变化以及研究技术的演变。这项研究可以为医护人员和研究人员提供有关睡眠相关疾病病理机制研究未来方向的启示。