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Infant microbiota in colic: predictive associations with problem crying and subsequent child behavior.

Amy Loughman1, Thomas Quinn2, Monica L Nation3

  • 1Deakin University, IMPACT (the Institute for Mental and Physical Health and Clinical Translation), Food & Mood Centre, Level 3, 299 Ryrie Street, Geelong, Victoria3220, Australia.

Journal of Developmental Origins of Health and Disease
|April 14, 2020
PubMed
Summary

The infant gut microbiota composition is linked to colic severity and can predict future crying duration. This finding highlights the potential of fecal microbiota analysis for understanding infant crying problems.

Keywords:
Infantcryinggut–brain axismicrobiotaneurodevelopment

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Area of Science:

  • Microbiology
  • Pediatrics
  • Developmental Psychology

Background:

  • Infant colic, a common condition of unknown origin, causes caregiver distress and attachment issues.
  • Emerging research suggests a link between the infant gut microbiota and colic, with some probiotics showing potential benefits.

Purpose of the Study:

  • To investigate the association between intestinal microbiota composition in colicky infants and their crying/fussing time.
  • To determine if baseline microbiota predicts persistent crying at 4 weeks or child behavior at 2 years.

Main Methods:

  • 16S rRNA sequencing was used to analyze fecal samples from 118 infants with colic.
  • Alpha and beta diversity analyses, differential abundance testing, and random forest classification were performed.
  • Statistical adjustments were made for potential confounding variables like birth mode, feeding type, and gender.

Main Results:

  • Microbiota alpha diversity was influenced by birth mode, feeding type, and gender, but not directly by crying or behavioral outcomes.
  • Specific bacterial taxa (e.g., Bifidobacterium, Clostridium, Lactobacillus, Klebsiella) were associated with colic severity.
  • Baseline gut microbiota composition predicted 4-week crying duration with up to 65% accuracy.

Conclusions:

  • The infant fecal microbiota shows potential prognostic utility in predicting subsequent crying problems.
  • Machine learning combined with associative analysis offers insights into the relationship between gut microbiota and infant colic.
  • Further research into the gut microbiome's role could inform interventions for infant colic and related behavioral issues.