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
1 other identifier
observational
60
1 country
1
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for all trials
Started Nov 2016
Typical duration for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
November 1, 2016
CompletedFirst Submitted
Initial submission to the registry
June 15, 2018
CompletedFirst Posted
Study publicly available on registry
July 18, 2018
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 15, 2019
CompletedStudy Completion
Last participant's last visit for all outcomes
June 1, 2020
CompletedFebruary 15, 2019
November 1, 2017
3.1 years
June 15, 2018
February 10, 2019
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Microbiota diversity and composition clarified by 16s rRNA sequencing
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.
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
Study Arms (3)
Intestinal stoma output
No interventions.
Colonic feaces
No interventions.
Healthy Control
No interventions.
Eligibility Criteria
Hospitalized patients
You may qualify if:
- 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.
You may not qualify if:
- 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.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Shanghai Xinhua Hospital, affiliated to Shanghai Jiao Tong University, School of Medicine
Shanghai, China
Related Publications (4)
Arrieta MC, Stiemsma LT, Amenyogbe N, Brown EM, Finlay B. The intestinal microbiome in early life: health and disease. Front Immunol. 2014 Sep 5;5:427. doi: 10.3389/fimmu.2014.00427. eCollection 2014.
PMID: 25250028BACKGROUNDBooijink CC, El-Aidy S, Rajilic-Stojanovic M, Heilig HG, Troost FJ, Smidt H, Kleerebezem M, De Vos WM, Zoetendal EG. High temporal and inter-individual variation detected in the human ileal microbiota. Environ Microbiol. 2010 Dec;12(12):3213-27. doi: 10.1111/j.1462-2920.2010.02294.x.
PMID: 20626454BACKGROUNDBarrett E, Guinane CM, Ryan CA, Dempsey EM, Murphy BP, O'Toole PW, Fitzgerald GF, Cotter PD, Ross RP, Stanton C. Microbiota diversity and stability of the preterm neonatal ileum and colon of two infants. Microbiologyopen. 2013 Apr;2(2):215-25. doi: 10.1002/mbo3.64. Epub 2013 Jan 24.
PMID: 23349073BACKGROUNDHuang Y, Guo F, Li Y, Wang J, Li J. Fecal microbiota signatures of adult patients with different types of short bowel syndrome. J Gastroenterol Hepatol. 2017 Dec;32(12):1949-1957. doi: 10.1111/jgh.13806.
PMID: 28425133BACKGROUND
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- CASE CONTROL
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
June 15, 2018
First Posted
July 18, 2018
Study Start
November 1, 2016
Primary Completion
December 15, 2019
Study Completion
June 1, 2020
Last Updated
February 15, 2019
Record last verified: 2017-11