Noninvasive stool-based detection of infant gastrointestinal development using gene expression profiles from exfoliated epithelial cells

Robert S. Chapkin, Chen Zhao, Ivan Ivanov, Laurie A. Davidson, Jennifer S. Goldsby, Joanne R. Lupton, Rose Ann Mathai, Marcia H. Monaco, Deshanie Rai, W. Michael Russell, Sharon M. Donovan, Edward R. Dougherty

Research output: Contribution to journalArticlepeer-review

Abstract

We have developed a novel molecular methodology that utilizes stool samples containing intact sloughed epithelial cells to quantify intestinal gene expression profiles in the developing human neonate. Since nutrition exerts a major role in regulating neonatal intestinal development and function, our goal was to identify gene sets (combinations) that are differentially regulated in response to infant feeding. For this purpose, fecal mRNA was isolated from exclusively breast-fed (n = 12) and formula-fed (n = 10) infants at 3 mo of age. Linear discriminant analysis was successfully used to identify the single genes and the two- to three-gene combinations that best distinguish the feeding groups. In addition, putative "master" regulatory genes were identified using coefficient of determination analysis. These results support our premise that mRNA isolated from stool has value in terms of characterizing the epigenetic mechanisms underlying the developmentally regulated transcriptional activation/repression of genes known to modulate gastrointestinal function. As larger data sets become available, this methodology can be extended to validation and, ultimately, identification of the main nutritional components that modulate intestinal maturation and function.

Original languageEnglish (US)
Pages (from-to)G582-G589
JournalAmerican Journal of Physiology - Gastrointestinal and Liver Physiology
Volume298
Issue number5
DOIs
StatePublished - May 2010

Keywords

  • Biomarkers
  • Breast feeding
  • Microarray
  • Systems biology

ASJC Scopus subject areas

  • Physiology
  • Hepatology
  • Gastroenterology
  • Physiology (medical)

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