Scholarlink

<p>Lipid nanoparticles (LNPs) have emerged as a versatile delivery platform for improving pharmacokinetic performance, protecting nucleic acid cargo, and enabling tissue- and cell-specific targeting. Continued advancement of LNP-based therapeutics requires a deeper understanding of how raw material quality, formulation parameters, nanoparticle architecture, and biological context collectively influence clinical performance. In this Perspective, we discuss key challenges, practical insights, and lessons learned from ongoing LNP development efforts, with emphasis on characterization strategies, delivery specificity, scale-up considerations, long-term stability, and emerging applications of artificial intelligence. We highlight the importance of rational design principles, robust and reproducible manufacturing practices, comprehensive analytical characterization, and innovative approaches to support the next generation of LNP technologies.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Lipid Nanoparticle Development in Practice: Challenges and Collective Insights

  • 期刊论文

  • 发表日期：

    2026年1月22日

查看全文
  • Xiuling Lu,
  • Sheyda Ranjbar,
  • Fan Zhang,
  • Yahya Choonara,
  • Ryan M. Pearson,
  • John Fetse,
  • Rui He,
  • Esraa Mohamed,
  • Amalendu Ranjan,
  • Muhammad Delwar Hussain,
  • Ashraf Hatim Osman Mohamed Kheir,
  • Chun-Wan Yen,
  • Aliasger K. Salem,
  • Mitra Mosharraf

摘要

Lipid nanoparticles (LNPs) have emerged as a versatile delivery platform for improving pharmacokinetic performance, protecting nucleic acid cargo, and enabling tissue- and cell-specific targeting. Continued advancement of LNP-based therapeutics requires a deeper understanding of how raw material quality, formulation parameters, nanoparticle architecture, and biological context collectively influence clinical performance. In this Perspective, we discuss key challenges, practical insights, and lessons learned from ongoing LNP development efforts, with emphasis on characterization strategies, delivery specificity, scale-up considerations, long-term stability, and emerging applications of artificial intelligence. We highlight the importance of rational design principles, robust and reproducible manufacturing practices, comprehensive analytical characterization, and innovative approaches to support the next generation of LNP technologies.