Bibliometric analysis of gene therapy for retinitis pigmentosa in recent 20 years
10.3760/cma.j.cn511434-20240929-00367
- VernacularTitle:近20年色素性视网膜炎基因治疗现状的文献计量学分析
- Author:
Xiaomeng SHI
1
;
Yu ZHANG
;
Yan LIU
;
Shiping LUO
;
Bo LEI
Author Information
1. 河南省人民医院 河南省立眼科医院，郑州 450003
- Publication Type:Journal Article
- Keywords:
Retinitis pigmentosa;
Gene therapy;
Hot spot analysis;
Bibliometrics
- From:
Chinese Journal of Ocular Fundus Diseases
2025;41(3):221-230
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the current status of research in gene therapy for retinitis pigmentosa (RP) from 2005 to 2024.Methods:The literature related to gene therapy for RP included in the Web of Science Core Collection dataset from January 1, 2005 to September 15, 2024 was retrieved and screened. The bibliometrix package of R software was used to analyze the annual trend of the number of publications, citation frequency, distribution of countries/regions of the literature, and distribution of journals containing the articles. CiteSpace software was used to perform keyword clustering analysis and the keywords bursts analysis.Results:A total of 209 articles were included. There was an overall fluctuating upward trend of annual publications from 2005 to 2024, with the highest number of publications in 2023 at 26 (12.4%, 26/209), and the lowest number of publications in 2006 at 2 (0.9%, 2/209). There was an overall increasing trend in the frequency of citations to relevant literature. Corresponding authors from the United States had the highest total number of publications with 98 (46.9%, 98/209). Among authors, Hauswirth from the University of Florida, USA, had the most with 25 (12.0%, 25/209). Among institutions, Columbia University, USA, had the most with 55 (26.3%, 55/209). Among journals, Mol Ther had the most with 25 (12.0%, 25/209), and it had the highest 2023 impact factor of 12.1. Keyword clustering analysis yielded eight valid clusters, namely #0 P23H, #1 AAV, #2 PDE6B,#3 CRB1, #4 RPGR, #5 antisense oligonucleotide, #6 NR2E3, and #7 NRL, which intersected with each other with good continuity. The keywords bursts analysis showed that the keyword with the longest emergence time was RNAi, followed by PDE and PDE6. USH2A, CRB1, CRISPR Cas9, base editing, and ORF15 were keywords that emerged in recent years and were continuously studied. Conclusions:RP gene therapy research literature has shown an increasing trend from 2005 to 2024, with the highest number of publications from research organizations and scholars in the United States. Currently, studies focus on RHO, PDE6B, CRB1, RPGR, NR2E3, and NRL gene. In recent years, there has been a gradual increase in studies on USH2A, CRB1 genes, and the RPGR ORF15 region. CRISPR Cas9 and base editing gene therapy strategies are being developed.
