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Identifying Gut Microbiome Features that Predict Responsiveness Toward a Prebiotic Capable of Increasing Calcium

Owen Ma1, Arindam Dutta2, Daniel W Bliss2

  • 1Electrical Engineering, Arizona State University, 650 E Tyler Mall, Tempe, AZ, 85281, USA. owenma@asu.edu.

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Summary

Prebiotics can improve calcium absorption for bone health, but not all children respond. Baseline gut microbiome analysis can predict which adolescents will benefit from prebiotic supplements with high accuracy.

Keywords:
AdolescenceBone healthCalcium absorptionMachine learningMineral metabolismPrebiotic microbiomeSupport vector machine

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Area of Science:

  • Nutrition Science
  • Microbiome Research
  • Pediatric Bone Health

Background:

  • Prebiotics show potential for enhancing calcium absorption in adolescents, crucial for bone health.
  • Individual responses to prebiotic interventions vary, necessitating identification of predictive factors.
  • Understanding gut microbiome composition is key to personalizing prebiotic strategies.

Purpose of the Study:

  • To determine if baseline gut microbiome composition predicts adolescent responsiveness to prebiotic intervention for calcium absorption.
  • To identify specific microbial taxa associated with increased calcium absorption following prebiotic supplementation.
  • To develop a predictive model for identifying individuals likely to benefit from prebiotics.

Main Methods:

  • A secondary analysis compared gut microbiota in responders and non-responders to soluble corn fiber (SCF).
  • Fractional calcium absorption was measured using dual stable isotope methodologies.
  • 16S rRNA gene sequencing characterized the gut microbiome, and machine learning models predicted responsiveness based on baseline data.

Main Results:

  • A predictive model utilizing 19 microbial features accurately identified responders with 96.0% average accuracy.
  • Significant differences in relative taxa abundance were observed between responders and non-responders.
  • The findings highlight the potential for microbiome-based prescreening for prebiotic efficacy.

Conclusions:

  • Baseline gut microbiome composition can predict adolescent response to prebiotics for enhancing calcium absorption.
  • Microbiome profiling offers a potential method for prescreening individuals who may benefit from prebiotic interventions for bone health.
  • Further research into the metabolic and genetic factors influencing calcium absorption during development is warranted.