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<p>For the successful development of live biotherapeutic products (LBPs), which are promising microbiome-based therapeutics, it is required to rigorously evaluate their quality, safety, and efficacy. To this end, we present a model-guided framework where genome-scale metabolic models (GEMs) can be exploited for characterizing LBP candidate strains and their metabolic interactions with adjacent microbiome and host cells at a systems level. In this perspective, we outline a GEM-based strategy for screening, assessment, and design of personalized multi-strain LBPs.</p>

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Genome-scale metabolic model-guided systematic framework for designing customized live biotherapeutic products

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年7月7日

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  • Yi Qing Lee,
  • Yoon-Mi Choi,
  • Seo-Young Park,
  • Su-Kyung Kim,
  • Minouk Lee,
  • Dongseok Kim,
  • Lokanand Koduru,
  • Meiyappan Lakshmanan,
  • Sangyong Jung,
  • Mi Jin Kim,
  • Yon Ho Choe,
  • Dong-Yup Lee

摘要

For the successful development of live biotherapeutic products (LBPs), which are promising microbiome-based therapeutics, it is required to rigorously evaluate their quality, safety, and efficacy. To this end, we present a model-guided framework where genome-scale metabolic models (GEMs) can be exploited for characterizing LBP candidate strains and their metabolic interactions with adjacent microbiome and host cells at a systems level. In this perspective, we outline a GEM-based strategy for screening, assessment, and design of personalized multi-strain LBPs.