Environmental enteric dysfunction is associated with poor linear growth and can be identified by host fecal mRNAs

Maria Isabel Ordiz, Nurmohammad Shaikh, Indi Trehan, Ken Maleta, Jennifer Stauber, Robert Shulman, Sridevi Devaraj, Phillip I. Tarr, Mark J. Manary

Research output: Contribution to journalArticlepeer-review

18 Scopus citations

Abstract

Objective: Environmental enteric dysfunction (EED) can be assessed by the lactulose:mannitol (L:M) test. Our objective was to determine if selected host fecal transcripts were correlated with EED, and whether transcripts and clinical characteristics could be used to predict EED in rural African children. Methods: Demographic and sanitation characteristics, along with L:M testing and host fecal transcript analyses from 798 asymptomatic Malawian children aged 12 to 61 months were compared with linear growth over the subsequent 3 months. Fecal host mRNA analysis included quantification of expression of 18 transcripts associated with L:M. Permeability was categorized as normal (L:M±0.15), moderate (0.15<L:M<0.45) and severe (L:M±0.45), and random forest predictive models were created. Results: L:M was inversely correlated with linear growth over the subsequent 3 months (r=±0.32, P<0.001) and severe EED was associated with stunting (P<0.0001). Age younger than 24 months, weight-for-height z score <0, domesticated animals in the child's sleep environment, lack of a pit latrine combined with a potentially contaminated water source, and a recent history of diarrhea were associated with severe EED. A random forest model using CD53, HLA-DRA, MUC12, and TNF was 84% sensitive for severe EED and 83% sensitive for no EED. Conclusions: Selected host fecal transcripts can be used in a random forest model as a noninvasive biomarker for categories of EED in rural African children.

Original languageEnglish
Pages (from-to)453-459
Number of pages7
JournalJournal of pediatric gastroenterology and nutrition
Volume63
Issue number5
DOIs
StatePublished - 2016

Keywords

  • Droplet digital PCR
  • Dual sugar absorption test
  • Environmental enteric dysfunction
  • Host fecal transcripts
  • Random forest modeling
  • Stunting

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