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Updated: Mar 7, 2026

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CRISPR in Thalassemia: Global Research Trend Analysis
Muhammad Saboor1,2, Maryam Jasem Alblooshi1, Alreem Adel Alkaabi1
1Department of Medical Laboratory Sciences, College of Health Sciences, University of Sharjah, Sharjah, United Arab Emirates.
Hemoglobin
|March 6, 2026
Summary
CRISPR gene editing shows promise for treating beta-thalassemia, with leading research from the US and China. Two main strategies, HBB gene correction and BCL11A repression leading to Casgevy approval, are advancing clinical translation.
Area of Science:
- Biotechnology
- Genetics
- Hematology
Background:
- Beta-thalassemia is a common inherited blood disorder affecting beta-globin chains.
- The clustered regularly interspaced short palindromic repeats (CRISPR) genome editing system offers a potential cure.
- Bibliometric analysis is crucial for understanding global research landscapes in emerging fields.
Purpose of the Study:
- To map global research trends in CRISPR-based beta-thalassemia studies.
- To identify key research areas, collaborations, and leading institutions.
- To review CRISPR therapeutic strategies and their translational progress.
Main Methods:
- Bibliometric analysis of Scopus database articles (original and review) from inception to present.
- Search terms included 'beta thalassemia' and 'CRISPR'/'gene editing' variants.
- VOSviewer software used for network visualization of publications, authors, and keywords.
Main Results:
- Significant growth in CRISPR-based thalassemia research, with the US and China as leading contributors.
- Two primary therapeutic strategies identified: direct HBB gene correction and BCL11A repression for fetal hemoglobin reactivation.
- Exagamglogene autotemcel (Casgevy), based on BCL11A repression, received regulatory approval.
Conclusions:
- CRISPR research for thalassemia is transitioning from basic science to clinical application.
- International collaboration is extensive, driving progress in gene editing therapies.
- Future implementation requires advancements in bioprocessing, cost reduction, and adaptable healthcare models.
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