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1.
PLoS One ; 14(1): e0210609, 2019.
Article in English | MEDLINE | ID: mdl-30668607

ABSTRACT

Feeding intolerance (FI) is a common disease in preterm infants, often causing a delay in individual development. Gut microbiota play an important role in nutrient absorption and metabolism of preterm infants. To date, few studies have focused on the community composition of gut microbiota of preterm infants with feeding intolerance. In this study, we collected fecal samples from 41 preterm infants diagnosed with feeding intolerance and 29 preterm infants without feeding intolerance, at three specific times during the development and prevalence of feeding intolerance (after birth, when feeding intolerance was diagnosed, after feeding intolerance was gone), from different hospitals for 16S rRNA gene sequencing. The gut microbiota community composition of preterm infants diagnosed with feeding intolerance was significantly different from that of preterm infants without feeding intolerance. At the time when feeding intolerance was diagnosed, the relative abundance of Klebsiella in preterm infants with feeding intolerance increased significantly, and was significantly higher than that of the preterm infants without feeding intolerance. After feeding intolerance was cured, the relative abundance of Klebsiella significantly decreased in the infants diagnosed with feeding intolerance, while the relative abundance of Klebsiella in preterm infants without feeding intolerance was not significantly altered during the development and prevalence of feeding intolerance. Furthermore, we verified that Klebsiella was effective in the diagnosis of feeding intolerance (AUC = 1) in preterm infants, suggesting that Klebsiella is a potential diagnostic biomarker for feeding intolerance.


Subject(s)
Feeding and Eating Disorders/microbiology , Gastrointestinal Microbiome , Infant, Premature/physiology , Bacteria/metabolism , Biodiversity , Cohort Studies , Feeding and Eating Disorders/epidemiology , Humans , Infant , Infant, Newborn , Prevalence , Principal Component Analysis , ROC Curve
2.
J Microbiol Biotechnol ; 28(4): 652-662, 2018 Apr 28.
Article in English | MEDLINE | ID: mdl-29618180

ABSTRACT

Diarrhea is a global disease with a high morbidity and mortality rate in children. In this study, 25 fecal samples were collected from children under 5 years old. Seven samples had been taken from healthy children without diarrhea and marked as the healthy control group; eight samples had been sampled from children with diarrhea caused by dyspepsia and defined as the non-infectious group; and ten samples had been taken from children with diarrhea induced by intestinal infections and identified as the infectious group. We detected the microbial communities of samples by using high-throughput sequencing of 16S rRNA genes. The proportion of aerobic and facultative anaerobic microbes in samples of the infectious group was much higher than in the non-infectious group. In addition, the relative abundance of Enterococcus in the healthy control group was significantly higher than in the non-infectious group and infectious group. This can be used as a potential diagnostic biomarker for diarrhea.


Subject(s)
Diarrhea/complications , Diarrhea/microbiology , Gastrointestinal Microbiome , Microbial Consortia , Bacteria/classification , Bacteria/genetics , Bacteria/isolation & purification , Biomarkers , Child, Preschool , DNA, Bacterial/genetics , Diarrhea/diagnosis , Enterococcus/genetics , Feces/microbiology , Female , Gastrointestinal Microbiome/genetics , High-Throughput Nucleotide Sequencing/methods , Humans , Infant , Infant, Newborn , Male , Microbial Consortia/genetics , Phylogeny , RNA, Ribosomal, 16S/genetics
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