Combination of Evidence from Bibliometrics and Bioinformatics Analysis Identifies miR-21 as a Potential Therapeutical Target for Diabetes
Yiqing Chen,
Xuan Ye,
Xiao Zhang,
Zilin Guo,
Wei Chen,
Zihan Pan,
Zengjie Zhang,
Bing Li,
Hongyun Wang,
Jianhua Yao
Affiliations
Yiqing Chen
Institute of Geriatrics (Shanghai University), Affiliated Nantong Hospital of Shanghai University (The Sixth People’s Hospital of Nantong) and Shanghai Engineering Research Center of Organ Repair, School of Life Science, Shanghai University, Nantong 226011, China
Xuan Ye
Institute of Geriatrics (Shanghai University), Affiliated Nantong Hospital of Shanghai University (The Sixth People’s Hospital of Nantong) and Shanghai Engineering Research Center of Organ Repair, School of Life Science, Shanghai University, Nantong 226011, China
Xiao Zhang
Institute of Geriatrics (Shanghai University), Affiliated Nantong Hospital of Shanghai University (The Sixth People’s Hospital of Nantong) and Shanghai Engineering Research Center of Organ Repair, School of Life Science, Shanghai University, Nantong 226011, China
Zilin Guo
Institute of Geriatrics (Shanghai University), Affiliated Nantong Hospital of Shanghai University (The Sixth People’s Hospital of Nantong) and Shanghai Engineering Research Center of Organ Repair, School of Life Science, Shanghai University, Nantong 226011, China
Wei Chen
Department of Emergency, Tongji Hospital, Tongji University School of Medicine, Shanghai 200065, China
Zihan Pan
QianWeiChang College, Shanghai University, 333 Nan Chen Road, Shanghai 200444, China
Zengjie Zhang
QianWeiChang College, Shanghai University, 333 Nan Chen Road, Shanghai 200444, China
Bing Li
Department of Ophthalmology, Tongji Hospital, Tongji University School of Medicine, Shanghai 200065, China
Hongyun Wang
Institute of Geriatrics (Shanghai University), Affiliated Nantong Hospital of Shanghai University (The Sixth People’s Hospital of Nantong) and Shanghai Engineering Research Center of Organ Repair, School of Life Science, Shanghai University, Nantong 226011, China
Jianhua Yao
Department of Cardiology, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai 200072, China
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.
