Many microRNAs (miRNAs) have been identified as being involved in diabetes; however, the question of which ones may be the most promising therapeutical targets still needs more investigation. This study aims to understand the overall development tendency and identify a specific miRNA molecule to attenuate diabetes. We developed a combined analysis method based on bibliometrics and bioinformatics to visualize research institutions, authors, cited references, and keywords to identify a promising target for diabetes. Our data showed that diabetes-related miRNA is receiving continuously increasing attention, with a large number of publications, indicating that this is still a hot topic in diabetes research. Scientists from different institutions are collaborating closely in this field. miR-21, miR-146a, miR-155, and miR-34a are frequently mentioned as high-frequency keywords in the related references. Moreover, among all the above miRNAs, bioinformatics analysis further strengthens the argument that miR-21 is the top significantly upregulated molecule in diabetes patients and plays an important role in the pathogenesis of diabetes. Our study may provide a way to identify targets and promote the clinical translation of miRNA-related therapeutical strategies for diabetes, which could also indicate present and future directions for research in this area.
Combination of Evidence from Bibliometrics and Bioinformatics Analysis Identifies miR-21 as a Potential Therapeutical Target for Diabetes.
结合文献计量学和生物信息学分析的证据,确定 miR-21 是糖尿病的潜在治疗靶点
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作者:Chen Yiqing, Ye Xuan, Zhang Xiao, Guo Zilin, Chen Wei, Pan Zihan, Zhang Zengjie, Li Bing, Wang Hongyun, Yao Jianhua
| 期刊: | Metabolites | 影响因子: | 3.700 |
| 时间: | 2024 | 起止号: | 2024 Jul 25; 14(8):403 |
| doi: | 10.3390/metabo14080403 | 研究方向: | 代谢 |
| 疾病类型: | 糖尿病 | ||
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