A cost-effective strategy for selection of third-party donors for a virus-specific T-cell bank for an Asian patient population.

Yeh-Ching Linn, Kirubavathy Sundar Raj, Bryan Teo,Chew-Yen Phang,Manesh Chittezhath,Mickey Koh

Cytotherapy(2023)

引用 0|浏览6
暂无评分
摘要
BACKGROUND AIMS:Third party virus-specific T cells (VST) has shown efficacy for opportunistic virus infection which do not have effective treatment or are drug-refractory. We describe our preparatory work in setting up a third-party VST bank for a multi-ethnic Asian population. METHODS:Discarded white cells from regular blood bank plateletpheresis donors with known locally prevalent HLA antigens were cultured in small scale to generate VST against Adenovirus, BK virus, Cytomegalovirus, Epstein-Barr virus, and Human Herpes Virus 6. Multi-virus specific T cells (multi-VST) were also generated against all 5 viruses in single cultures. A strategy of allelic typing for donors with good and broad-spectrum cytotoxicity together with consideration on HLA restriction for the virus epitope was used to select combinations of VST lines for a hypothetical third party VST bank. The breadth of coverage based on these selection criteria was validated using our database of 100 post haematopoietic stem cell transplant patients. RESULTS:We show that 50%, 42%, 56%, 56% and 42% of single VST cultures demonstrated specific cytotoxicity against AdV, BKV, CMV, EBV and HHV6 respectively. Twenty four of the 36 multi-VST lines showed activity against at least 2 of the 5 viruses studied. A carefully selected combination of just 6 VST lines can offer VST with at least 1 allelic match to 99% of potential recipients, while 92% can find 2 allelic matches and 79% can find 3 allelic matches. CONCLUSIONS:This preparatory work confirms that a cost-effective strategy recruiting a small number of pre-characterized donors can generate VST lines with broad coverage for a multi-ethnic Asian patient population, thereby laying the foundation for setting up of a third party VST bank for Asian patients.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要