Precision probiotics supplement strategy in aging population based on gut microbiome composition

Yi Fang Chuang, Kang Chen Fan, Yin Yuan Su, Ming Fong Wu, Yen Ling Chiu, Yi Chien Liu, Chen Ching Lin*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

With the increasing prevalence of age-related chronic diseases burdening healthcare systems, there is a pressing need for innovative management strategies. Our study focuses on the gut microbiota, essential for metabolic, nutritional, and immune functions, which undergoes significant changes with aging. These changes can impair intestinal function, leading to altered microbial diversity and composition that potentially influence health outcomes and disease progression. Using advanced metagenomic sequencing, we explore the potential of personalized probiotic supplements in 297 older adults by analyzing their gut microbiota. We identified distinctive Lactobacillus and Bifidobacterium signatures in the gut microbiota of older adults, revealing probiotic patterns associated with various population characteristics, microbial compositions, cognitive functions, and neuroimaging results. These insights suggest that tailored probiotic supplements, designed to match individual probiotic profile, could offer an innovative method for addressing age-related diseases and functional declines. Our findings enhance the existing evidence base for probiotic use among older adults, highlighting the opportunity to create more targeted and effective probiotic strategies. However, additional research is required to validate our results and further assess the impact of precision probiotics on aging populations. Future studies should employ longitudinal designs and larger cohorts to conclusively demonstrate the benefits of tailored probiotic treatments.

Original languageEnglish
Article numberbbae351
JournalBriefings in Bioinformatics
Volume25
Issue number4
DOIs
StatePublished - 1 Jul 2024

Keywords

  • consensus clustering
  • gut microbiome
  • metagenomics
  • non-negative matrix factorization
  • older adults
  • precision probiotics

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