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

摘要: Infant colic is a condition of unknown cause which can result in carer distress and attachment difficulties. Recent studies have implicated the gut microbiota infant colic, certain probiotics demonstrated possible efficacy. We aim to investigate whether intestinal composition infants with associated cry/fuss time at baseline, persistence 4-week follow-up, or child behavior 2 years age. Fecal samples from (n = 118, 53% male) were analyzed using 16S rRNA sequencing. After examining alpha beta diversity clinical samples, we performed differential abundance analysis data look for taxa that associate baseline future behavior, while adjusting potential confounding variables. In addition, used random forest classifiers evaluate how well predict crying time. Alpha fecal was strongly influenced by birth mode, feed type, gender, but did not significantly behavioral outcomes. Several within (including Bifidobacterium, Clostridium, Lactobacillus, Klebsiella) severity, further 4 weeks up 65% accuracy. The combination machine learning findings associative relationships demonstrates prognostic utility predicting subsequent problems.