Evaluation of Gut Bacteria in Patients With Polycystic Kidney Disease
Gut Microbiota of Renal Patients
1 other identifier
observational
18
1 country
1
Brief Summary
Gut microbes can influence numerous aspects of human biology. Alterations in the function and composition of gut microbial flora (gut microbiota ) have been linked to inflammatory bowel disease, chronic inflammation, dyslipidemia, diabetes mellitus, atopic disorders, cardiovascular disease, neoplasms, and obesity. However, little is known whether renal failure alters the composition of gut microbiota and whether an alteration in the gut microbiota of patients with renal failure impacts on the development of co-morbid conditions such as accelerated atherosclerosis, abnormal bone mineral metabolism, and chronic inflammation that are associated with renal failure. Nonetheless, several lines of evidence suggest that renal failure alters the chemical environment of the intestinal lumen, which could impose a selective pressure on the growth of certain gut microbes. The investigators hypothesize that the gut microbiota of patients with renal failure is different from those without renal failure. To test this hypothesis the investigators are conducting a cross-sectional study of gut microbiota in patients with different degrees of renal failure due to polycystic kidney disease (PKD).
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for all trials
Started Dec 2013
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
December 1, 2013
CompletedFirst Submitted
Initial submission to the registry
May 7, 2014
CompletedFirst Posted
Study publicly available on registry
May 20, 2014
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 1, 2015
CompletedStudy Completion
Last participant's last visit for all outcomes
December 1, 2015
CompletedJanuary 5, 2016
January 1, 2016
2 years
May 7, 2014
January 4, 2016
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Microbiome sequencing and diversity and its correlation with renal function
The diversity of gut bacterial population and its correlation with the renal function, bacterial DNA extract will be sequenced using MiSeq. Data will be analyzed using QiiMe program.
at 2 weeks
Secondary Outcomes (3)
Uremic metabolites and its correlation with gut microbiota
at 2 weeks
Kidney function and uremic metabolites
at 2 weeks
Vit D level
at 2 weeks
Study Arms (3)
GFR >60
5 patients with polycystic kidney disease with eGFR \> 60 ml/min.
GFR 15-60
5 patients with polycystic kidney disease with eGFR between 15-60 ml/min.
GFR <15
5 patients with polycystic kidney disease with eGFR \<15 ml/min.
Eligibility Criteria
o All subjects with diagnosis for cystic kidney disease, who were evaluated at Mount Sinai Hospital, Renal clinic, Internal Medicine Associates clinic and Faculty Practice Associates clinics will be identified via the electronic medical system (EPIC).
You may qualify if:
- Age \> 18 years.
- Patients with PKD.
- Patients are able to understand and give consent.
You may not qualify if:
- Patient on antibiotics or vitamin supplement (except vitamin D analogs) in the last three months.
- Advanced liver disease, advanced cardiovascular disease, heart failure with EF \< 30%, and autoimmune disease.
- The use of chemotherapy, antibiotics, immunosuppressive medications, probiotics, and steroid in the last three month.
- Intravenous or oral iron supplementation, laxatives, and kayexalate in the last month.
- History of intra abdominal surgery, small or large intestine resection or small bowel obstruction.
- History of colon cancer or gastrointestinal bleed.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Icahn School of Medicine at Mount Sinai
New York, New York, 10029, United States
Biospecimen
Serum and urine will be saved for metabolite analysis; stool will be used to extract bacterial DNA for sequencing.
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
John C He, MD, PhD
Icahn School of Medicine at Mount Sinai
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- CROSS SECTIONAL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
May 7, 2014
First Posted
May 20, 2014
Study Start
December 1, 2013
Primary Completion
December 1, 2015
Study Completion
December 1, 2015
Last Updated
January 5, 2016
Record last verified: 2016-01