Microbial Diversity of Small Bowel Stoma Effluent and Colonic Faeces

Intestinal Microbial Diversity of Small Bowel Stoma Effluent and Colonic Feces of Children With Short Bowel Syndrome

Status

UNKNOWN

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT03590418

Enrollment

Registered

2018-07-18

Start date

2016-11-01

Completion date

2020-06-01

Last updated

2019-02-15

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Intestinal Failure

Keywords

Intestinal failure, Microbiota

Brief summary

Several studies suggested that dysbacteriosis usually happened in patients with intestinal failure (IF). However, differences of microbiota diversity in small intestine stoma effluents and colonic faeces were rarely studies. Thus this study is aimed to investigate the microbiota compositions and differences of output of small intestine stoma and colon in pediatric IF patients. Fecal samples from IF patients. Each patient received fistula closure in our centre and fecal samples from both small intestinal stoma and colon were collected. Fecal microbial compositions were determined by high-throughput sequencing.

Interventions

None listed

Study design

Observational model

CASE_CONTROL

Time perspective

PROSPECTIVE

Eligibility

Sex/Gender

ALL

Age

1 Months to 3 Years

Healthy volunteers

Yes

Inclusion criteria

* Patients with intestinal failure. Patients showed good tolerance to parenteral and enteral nutrition administration. Proportion of enteral nutrition is more than 80%. Stool output maintained at less than 50mL/kg/day. No complications occurred for at least 1 week.

Exclusion criteria

* Patients depend mainly on parenteral nutrition. Symptoms like fever, abdominal distention and diarrhea. Complications like parenteral nutrition-associated liver disease, pneumonia and catheter related infection.

Design outcomes

Primary

Measure	Time frame	Description
Microbiota diversity and composition clarified by 16s rRNA sequencing	1)Samples collection: one day before patients are discharged from hospital; 2)DNA extraction: within one week after samples collection; 3)Sequencing and data analyzing: within one month after DNA extract	DNA of gut microbiota will be extracted. Then purified DNA amplicons are pooled in equimolar and paired-end sequenced (2 × 250) on an Illumina MiSeq platform. Raw Fastq files will be de-multiplexed, quality-filtered using QIIME (version 1.17). Operational taxonomic units (OTUs) will be next clustered with 97% similarity cutoff using UPARSE version 7.1 (http://drive5.com/ uparse/) and chimeric sequences will be identified and removed using UCHIME (http://drive5.com/index.htm). The phylogenetic affiliation of each 16S rRNA gene sequence is analyzed by RDP Classifier (http:// rdp.cme.msu.edu/) against the silva (SSU117/119)16S rRNA. Sobs index and Chao index will be used to evaluate the microbiota diversity. Microbiota composition will be identified on different levels including phylum, family and genus.

Countries

China

Contacts

Primary ContactWei Cai, MD, PhD

caiw204@sjtu.edu.cn

Outcome results