Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
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).
Studies have shown that gut microbes can influence numerous aspects of human biology, and alterations in the function and composition of gut microbial flora (microbiota) play a major role in the pathogenesis of diverse human illnesses such as chronic inflammation, diabetes mellitus, and cardiovascular diseases. Gut microbes provide protection against pathogenic organisms, contribute to energy metabolism, serve a clear role in the development and modulation of the human gut immune system, and participate in nitrogen and micronutrient homeostasis by synthesizing amino acids and various vitamins. However, whether the composition of gut microbes is altered in human with renal failure has not been clearly demonstrated. Furthermore, whether alterations in the gut microbiota due to renal failure contribute to development of co-morbid conditions associated with CKD has never been examined. There are several lines of evidence to suggest that the gut microbiota is likely altered in patients with CKD. It has been established that protein assimilation in the small intestine is impaired in CKD .
To examine the impact of renal failure on the composition of gut microbiota we are studying patients with renal failure due to polycystic kidney disease (PKD). PKD is the fourth leading cause of kidney failure, and is the most common genetic kidney disease. Compared to patients with renal failure due to diabetic nephropathy, hypertension, and glomerulonephritis, patients with PKD have virtually no major co-morbid medical conditions or associated medical interventions (i.e. antimicrobial or anti-inflammatory therapies) that could potentially alter the gut microbiota, and confound the interpretation of data.
Objectives
Not provided
Not provided
Not provided
Not provided
Not provided
| Label | Type | Description | Intervention Names |
|---|---|---|---|
| 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. |
Not provided
| Measure | Description | Time Frame |
|---|---|---|
| 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 |
| Measure | Description | Time Frame |
|---|---|---|
| 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 |
| Kidney function and uremic metabolites |
Not provided
Inclusion Criteria:
Exclusion Criteria:
Not provided
Not provided
Not provided
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).
Not provided
| Name | Affiliation | Role |
|---|---|---|
| John C He, MD, PhD | Icahn School of Medicine at Mount Sinai | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Icahn School of Medicine at Mount Sinai | New York | New York | 10029 | United States |
Not provided
| ID | Term |
|---|---|
| D007690 | Polycystic Kidney Diseases |
| D051436 | Renal Insufficiency, Chronic |
| ID | Term |
|---|---|
| D052177 | Kidney Diseases, Cystic |
| D007674 | Kidney Diseases |
| D014570 | Urologic Diseases |
| D052776 | Female Urogenital Diseases |
Not provided
Not provided
Not provided
Not provided
Not provided
Serum and urine will be saved for metabolite analysis; stool will be used to extract bacterial DNA for sequencing.
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 |
| Vit D level | The correlation of Vit D level with gut bacterial population, and its effects on urine and serum metabolites. | at 2 weeks |
| D005261 |
| Female Urogenital Diseases and Pregnancy Complications |
| D000091642 | Urogenital Diseases |
| D052801 | Male Urogenital Diseases |
| D000015 | Abnormalities, Multiple |
| D000013 | Congenital Abnormalities |
| D009358 | Congenital, Hereditary, and Neonatal Diseases and Abnormalities |
| D000072661 | Ciliopathies |
| D030342 | Genetic Diseases, Inborn |
| D051437 | Renal Insufficiency |
| D002908 | Chronic Disease |
| D020969 | Disease Attributes |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |