From off-target to on-demand: Precision engineering and translational evaluation of next-generation base editors.

A review synthesizes how next-generation deaminase-based base editors can be engineered for predictable, controllable, and verifiable single-base substitutions across complex sequence contexts and delivery conditions.

• Why it matters: Clinical gene therapy needs safer, more precise, and more implementable tools, but base editing must also deliver reliable outcomes across diverse cells and real delivery scenarios.
• What they did: The authors systematically analyze translation factors—editing efficiency, editing precision, safety, and delivery—then summarize AI/computational methods for design, screening, and risk assessment, plus ex vivo and in vivo translation pathways.
• The result: The review links editing performance, safety, and delivery to development decisions across representative clinical programs and proposes minimum reporting recommendations to improve consistency and cross-study comparability.