Polycystic Kidney Disease Clinical Trial
Official title:
Gut Microbiota of Renal Patients
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).
Status | Completed |
Enrollment | 18 |
Est. completion date | December 2015 |
Est. primary completion date | December 2015 |
Accepts healthy volunteers | No |
Gender | Both |
Age group | 18 Years and older |
Eligibility |
Inclusion Criteria: - Age > 18 years. - Patients with PKD. - Patients are able to understand and give consent. Exclusion Criteria: - 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. |
Observational Model: Cohort, Time Perspective: Cross-Sectional
Country | Name | City | State |
---|---|---|---|
United States | Icahn School of Medicine at Mount Sinai | New York | New York |
Lead Sponsor | Collaborator |
---|---|
Icahn School of Medicine at Mount Sinai |
United States,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | 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 | No |
Secondary | Uremic metabolites and its correlation with gut microbiota | To evaluate the uremic metabolites and its association with specific bacterial phylum identified by bacterial DNA sequencing | at 2 weeks | No |
Secondary | Kidney function and uremic metabolites | To evaluate the correlation of uremic metabolites in urine and its correlation with renal function by analyzing non-targeted metabolite profiling platform. | at 2 weeks | No |
Secondary | Vit D level | The correlation of Vit D level with gut bacterial population, and its effects on urine and serum metabolites. | at 2 weeks | No |
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