背景(考古学)
核苷酸
寡核苷酸
序列(生物学)
计算生物学
化学
毒性
化学改性
化学生物学
药品
化学基因学
核酸序列
化学空间
生物化学
药物发现
鉴定(生物学)
化学稳定性
结构-活动关系
组合化学
药物毒性
生物
药理学
碱基对
作用机理
生物信息学
蛋白质稳定性
基因
机制(生物学)
作者
Jaspreet Kaur Bhamra,Mahati Krishna,George N. Samaan,Sankha Pattanayak,Swagatam Mukhopadhyay
出处
期刊:ChemBioChem
[Wiley]
日期:2025-10-13
卷期号:26 (20): e202500584-e202500584
被引量:5
标识
DOI:10.1002/cbic.202500584
摘要
Antisense oligonucleotides (ASOs) offer a promising therapeutic approach for precise RNA-level gene modulation. Despite advancements in chemical modifications to enhance stability and pharmacokinetics, ASOs still face significant challenges, including liver, immunological, renal, and neurological toxicities, potentially leading to high preclinical failure rates. Current oligonucleotide-based drug optimization strategies to overcome such issues often rely on applying a few commonly used chemical architectures (patterns of linker, sugar, or base modifications), which are conventional in the field, or engaging in expensive and time-consuming trial-and-error screening processes involving both sequence changes and positional chemical modifications. These traditional approaches treat nucleotide sequences ("sequence") and sugar/linkage modification chemistries ("chemistry") as independent contributors to toxicity. However, ample evidence in the literature shows that even minor changes in either sequence or chemical modifications can drastically impact toxicity, suggesting an inseparable synergistic relationship between sequence and chemistry. In support of this sequence-chemistry collusion thesis, this manuscript presents a survey of the systemic toxicity potential of several chemically modified gapmer ASOs by investigating the impact of modifying sugar and backbone chemistries on ASO-induced hepatotoxicity, nephrotoxicity, and immune/inflammatory responses. The data unequivocally demonstrate that ASO toxicity is strongly influenced by the interplay between nucleotide sequence, chemical modifications, and the specific position context of those modifications, highlighting the critical need to rationally engineer the optimal sequence and chemical composition to develop safe and active ASO drug candidates instead of discovering suboptimal ASOs through trial-and-error screening campaigns.
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