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Framework as a Service, FaaS: Personalized Prebiotic Development for Infants with the Elements of Time and Parametric

Ka-Lung Lam1, Wai-Yin Cheng1, Fan Yang1

  • 1Food and Nutritional Sciences, School of Life Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong SAR 000000, China.

Microorganisms
|April 30, 2020
PubMed

Insights

Polymeric beta-glucans from barley show prebiotic potential, enhancing probiotic growth and metabolite production. This parametric modeling framework offers insights into novel prebiotic development for gut health.

Area of Science:

  • Microbiology
  • Nutritional Science
  • Bioinformatics

Background:

  • Understanding prebiotic efficacy requires robust evaluation of their impact on gut microbiota and metabolite production.
  • Existing methods for assessing prebiotics often lack comprehensive analysis of growth dynamics and metabolite profiles.
  • Parametric modeling offers a novel approach to quantify biological parameters from fermentation data.

Purpose of the Study:

  • To develop and apply a parametric modeling framework for evaluating prebiotic candidates.
  • To assess the impact of 13 structural-characterized prebiotics on probiotic growth and metabolite production using infant fecal inoculum.
  • To introduce a metabolite-based indicator for assessing gut microbiota eubiosis/dysbiosis.

Main Methods:

  • In vitro fermentation for 205 hours with 13 prebiotic candidates and exclusively breastfed infant fecal inoculum.
  • Parametric modeling to determine lag phase, maximum increase rate, and maximum capacity of probiotic growth.
  • 16S rRNA amplicon sequencing of the infant fecal inoculum.
  • Analysis of short-chain fatty acids and dissolved ammonia production.
  • Development of a composite metabolite-based indicator for microbiota balance.

Main Results:

  • Polymeric beta-glucans from barley demonstrated significant prebiotic potential, showing favorable metabolite production.
  • Beta-glucans from oat and mushroom sclerotia exhibited comparable probiotic sustainability to alpha-glucans after 48 hours.
  • Galacto-oligosaccharides and lactose showed moderate metabolite-based indicator values.
  • A novel metabolite-based indicator was introduced to complement conventional microbial markers for eubiosis/dysbiosis assessment.
  • Polymeric beta-glucans from barley offer substantial scope for structural modification and novel prebiotic development.

Conclusions:

  • Parametric modeling provides a powerful framework for evaluating prebiotic candidates and understanding their biological relevance.
  • Polymeric beta-glucans, particularly from barley, represent promising candidates for next-generation prebiotic development.
  • The developed metabolite-based indicator offers a complementary approach to assess gut microbiota status.
  • Further research utilizing time-series analysis and parametric modeling is anticipated to yield deeper insights into prebiotic-microbiota interactions.

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