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Usage Information

Evaluating precision medicine approaches for gene therapy in patient-specific cellular models of Bietti crystalline dystrophy
Yao Li, Richard R. Yang, Yong-Shi Li, Chun-Wei Hsu, Laura A. Jenny, Yang Kong, Merry Z.C. Ruan, Janet R. Sparrow, Stephen H. Tsang
Yao Li, Richard R. Yang, Yong-Shi Li, Chun-Wei Hsu, Laura A. Jenny, Yang Kong, Merry Z.C. Ruan, Janet R. Sparrow, Stephen H. Tsang
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Research Article Ophthalmology Therapeutics

Evaluating precision medicine approaches for gene therapy in patient-specific cellular models of Bietti crystalline dystrophy

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Abstract

Patient-specific induced pluripotent stem cell–derived (iPSC-derived) cell lines allow for therapies to be tailored to individual patients, increasing therapeutic precision and efficiency. Bietti crystalline dystrophy (BCD) is a rare blinding disease estimated to affect about 67,000 individuals worldwide. Here, we used iPSC-derived retinal pigment epithelium (iRPE) cells from patients with BCD to evaluate adeno-associated virus–mediated (AAV-mediated) gene augmentation therapy strategies. We found that BCD iRPE cells were vulnerable to blue light–induced oxidative stress and that cellular phenotype can be quantified using 3 robust biomarkers: reactive oxygen species (ROS), 4-hydroxy 2-nonenal (4-HNE) levels, and cell death rate. Additionally, we demonstrated that AAV-mediated gene therapy can significantly reduce light-induced cell death in BCD iRPE cells. This is the first proof-of-concept study to our knowledge to show that AAV-CYP4V2 gene therapy can be used to treat light-induced RPE damage in BCD. Furthermore, we observed significant variability in cellular phenotypes among iRPE from patients with BCD of divergent mutations, which outlined genotype-phenotype correlations in BCD patient–specific cell disease models. Our results reveal that patient-specific iRPE cells retained personalized responses to AAV-mediated gene therapy. Therefore, this approach can advance BCD therapy and set a precedent for precision medicine in other diseases, emphasizing the necessity for personalization in healthcare to accommodate individual diversity.

Authors

Yao Li, Richard R. Yang, Yong-Shi Li, Chun-Wei Hsu, Laura A. Jenny, Yang Kong, Merry Z.C. Ruan, Janet R. Sparrow, Stephen H. Tsang

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Usage data is cumulative from March 2025 through March 2026.

Usage JCI PMC
Text version 2,799 227
PDF 393 59
Figure 479 2
Table 51 0
Supplemental data 228 6
Citation downloads 87 0
Totals 4,037 294
Total Views 4,331

Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

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