Intravitreal injection of new adeno-associated viral vector: Enhancing retinoschisin 1 gene transduction in a mouse model of X-linked retinoschisis.

Adeno-associated virus (AAV) vectors have been widely used in therapy to treat hereditary retinal diseases. But its transduction efficiency by intravitreal injection still needs to be improved. In this study, we investigated the transduction efficiency of AAV-DJ (K137R)-GFP in different retinal cells of normal mice, as well as the therapy effection of AAV-DJ (K137R)-Rs1 on retinal function and structure in Rs1-KO mice. The intravitreal injection of AAV-DJ (K137R)-GFP demonstrated that this vector transduced cells in all layers of the retina, including the inner nuclear layer and photoreceptor layer. The intravitreal injection of AAV-DJ (K137R)-Rs1 found that 3 months post-injection of this vector improved retinal function and structure in Rs1-KO mice. Our conclusion is that AAV-DJ (K137R) vector can efficiently and safely penetrate the inner limiting membrane and transduce different layers of retinal cells in the long term, as well as being able to continuously and efficiently express target therapeutic proteins, making it a candidate therapeutic vector for X-linked retinoschisis (XLRS).

Plug pattern optimization for gamma knife radiosurgery treatment planning.

PURPOSE: To develop a novel dose optimization algorithm for improving the sparing of critical structures during gamma knife radiosurgery by shaping the plug pattern of each individual shot. METHOD AND MATERIALS: We first use a geometric information (medial axis) aided guided evolutionary simulated annealing (GESA) optimization algorithm to determine the number of shots and isocenter location, size, and weight of each shot. Then we create a plug quality score system that checks the dose contribution to the volume of interest by each plug in the treatment plan. A positive score implies that the corresponding source could be open to improve tumor coverage, whereas a negative score means the source could be blocked for the purpose of sparing normal and critical structures. The plug pattern is then optimized via the GESA algorithm that is integrated with this score system. Weight and position of each shot are also tuned in this procedure. RESULTS: An acoustic tumor case is used to evaluate our algorithm. Compared to the treatment plan generated without plug patterns, adding an optimized plug pattern into the treatment planning process boosts tumor coverage index from 95.1% to 97.2%, reduces RTOG conformity index from 1.279 to 1.167, lowers Paddick's index from 1.34 to 1.20, and trims the critical structure receiving more than 30% maximum dose from 16 mm(3) to 6 mm(3). CONCLUSIONS: Automated GESA-based plug pattern optimization of gamma knife radiosurgery frees the treatment planning team from the manual forward planning procedure and provides an optimal treatment plan.