Precise probiotic therapy: Advances, bottlenecks, and the road to microbiome-informed nutrition

Точная пробиотическая терапия: достижения, узкие места и путь к питанию с учетом микробиома
Yuesong Jiang, Shuaiming Jiang, Zhengting Wang, Pengfei Zhu, Jiachao Zhang, Fei Teng, Shi Huang
2026-01-30

gut microbiomemicrobiome-informed nutritionmulti-omics dataprecision probiotic therapyprobiotic strain engineering
The human gut microbiome is a cornerstone of health, yet conventional probiotic therapies often exhibit limited efficacy owing to heterogeneity in host-microbe-environment dynamics. This review dissects the biological and environmental drivers of such variability and highlights emerging frameworks that integrate cross-sectional and longitudinal multi-omics data to predict probiotic treatment outcomes and host metabolic responses. We further spotlight breakthroughs in methodological development in efficient mining and engineering of probiotic strains, which enable the rational design of functionally enhanced, personalized probiotics. By synthesizing these advances, the review underscores the transformative potential of combining data-driven models with precision-engineered microbial therapeutics to address current limitations and usher in a new era of future microbiome-informed nutrition and personalized interventions.
1
Advances in efficient probiotic strain mining and engineering support rational development of functionally enhanced, personalized probiotics.
2
Combining data-driven predictive models with precision-engineered microbial therapeutics could overcome current limitations and advance microbiome-informed nutrition.
3
Conventional probiotic therapies often show limited efficacy because host–microbe–environment interactions vary substantially among individuals.
4
Integrating cross-sectional and longitudinal multi-omics data may enable prediction of probiotic treatment outcomes and host metabolic responses.

human gut microbiome and probiotic therapies

biological and environmental determinants of probiotic treatment efficacy, host metabolic responses, and the design of personalized probiotics

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2026-01-30
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Yuesong Jiang
Shuaiming Jiang
Zhengting Wang
Pengfei Zhu
Jiachao Zhang
Fei Teng
Shi Huang
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