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Effect of Prebiotics and/or Probiotics on Uremic Toxins and Inflammation Markers in Peritoneal Dialysis Patients

Primary Purpose

End Stage Renal Failure on Dialysis

Status
Unknown status
Phase
Not Applicable
Locations
Mexico
Study Type
Interventional
Intervention
Probiotic
Prebiotic
Symbiotic
Placebo
Sponsored by
Unidad de Investigacion Medica en Enfermedades Renales
About
Eligibility
Locations
Arms
Outcomes
Full info

About this trial

This is an interventional treatment trial for End Stage Renal Failure on Dialysis focused on measuring dialysis, uremic toxin, inflammation, prebiotics, probiotics

Eligibility Criteria

18 Years - 80 Years (Adult, Older Adult)All SexesDoes not accept healthy volunteers

Inclusion Criteria:

  • >3 months on automated peritoneal dialysis treatment
  • Signed informed consent

Exclusion Criteria:

  • ESRD of inflammatory cause (lupus, vasculitis, collagenopathies)
  • Intake of probiotics, prebiotics or fiber in the last 3 months
  • Use of anti-inflammatory drugs or nutritional supplements (immunossuppresants, pentoxifylline, NSAIDs, omega-3)
  • Treated with antibiotics or sevelamer
  • Treated with research drugs or participants in any clinical trial
  • Peritonitis or active infection 2 weeks prior the study
  • Any medical condition affecting intestinal absorption (inflammatory bowel disease, short bowel syndrome, bariatric surgery) or severe dysmotility
  • Severe malnutrition
  • Previous kidney transplantation
  • Serious diseases altering the fina outcomes of the study: decompensated heart failure, chronic liver disease, cancer, AIDS.

Sites / Locations

  • Umae Hospital de Especialidades

Arms of the Study

Arm 1

Arm 2

Arm 3

Arm 4

Arm Type

Active Comparator

Active Comparator

Experimental

Placebo Comparator

Arm Label

Probiotic

Prebiotic

Symbiotic

Placebo

Arm Description

Subjects receiving probiotic supplementation: 2x108 CFU probiotic bacteria + prebiotic placebo per day during 3 months

Subjects receiving prebiotic supplementation: 20 g of prebiotic fiber + probiotic placebo per day during 3 months

Subjects receiving probiotic and prebiotic supplementation: 2x108 CFU probiotic bacteria + 20 g of prebiotic fiber per day during 3 months

Subjects receiving placebo of probiotic and prebiotic per day during 3 months

Outcomes

Primary Outcome Measures

Change of uremic toxins from basal to 1 and 3 months
Measurement of serum concentrations of the uremic toxins p-cresyl sulphate (mg/dL) and indoxyl sulphate (mg/dL) by means of liquid chromatography.
Change of uremic toxins from basal to 1 and 3 months
Measurement of serum concentrations of endotoxin (EU/mL) by means of Limulus amebocyte lisate test.

Secondary Outcome Measures

Change in gut microbiota composition from basal to 1 and 3 months
Determination of fecal bacterial composition by DNA extraction and pyrosequencing analysis.
Change in gastrointestinal symptoms from basal to 1 and 3 months
Measurement of appetite and frequency and severity of gastrointestinal symptoms (nausea, vomiting, bloating, diarrhea, constipation) by means of a gastrointestinal symptoms questionnaire.
Change of inflammatory cytokines from basal to 1 and 3 months
Measurement of serum concentrations of inflammatory cytokines Interleukin-6 (pg/mL), Interleukin-10 (pg/mL) and Tumor Necrosis Factor alpha (pg/mL) by means of ELISA.
Change of inflammatory cytokines from basal to 1 and 3 months
Measurement of serum concentrations of C-Reactive Protein (mg/L) by means of nephelometry.

Full Information

First Posted
May 31, 2018
Last Updated
December 6, 2018
Sponsor
Unidad de Investigacion Medica en Enfermedades Renales
Collaborators
Centro Universitario de Tonalá, Universidad de Colima
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1. Study Identification

Unique Protocol Identification Number
NCT03770611
Brief Title
Effect of Prebiotics and/or Probiotics on Uremic Toxins and Inflammation Markers in Peritoneal Dialysis Patients
Official Title
Effect of a Nutritional Supplement of Probiotics and/or Prebiotics vs Placebo on Serum Concentrations of Uremic Toxins and Inflammatory Cytokines in Automated Peritoneal Dialysis Patients.
Study Type
Interventional

2. Study Status

Record Verification Date
December 2018
Overall Recruitment Status
Unknown status
Study Start Date
January 7, 2019 (Anticipated)
Primary Completion Date
December 2019 (Anticipated)
Study Completion Date
August 2020 (Anticipated)

3. Sponsor/Collaborators

Responsible Party, by Official Title
Principal Investigator
Name of the Sponsor
Unidad de Investigacion Medica en Enfermedades Renales
Collaborators
Centro Universitario de Tonalá, Universidad de Colima

4. Oversight

Studies a U.S. FDA-regulated Drug Product
No
Studies a U.S. FDA-regulated Device Product
No
Data Monitoring Committee
No

5. Study Description

Brief Summary
End-stage renal disease (ESRD) is a world public health problem, with high morbidity and mortality. Cardiovascular disease is the main cause of mortality in ESRD; uremic toxin retention and inflammation are considered non-traditional risk factors, as they have an active role in atherosclerosis and vascular calcification pathogenesis in dialysis patients. Uremic toxins may be generated by internal protein metabolism, however, some toxins that can't be efficiently eliminated by dialysis such as indoxyl sulphate and p-cresyl sulphate (protein bound toxins), are generated by the microbial metabolism in the large intestine by proteolytic bacteria, and may diffuse easily through the intestinal lumen, as a leaky gut characterizes kidney disease. The gut has been recognized as a potential source of inflammation in ESRD patients; accumulation of nitrogen compounds, presence of gastrointestinal symptoms, dietary changes and multiple drugs and supplements use, stimulates microbiota alterations as bacterial overgrowth and translocation. These phenomena, may active the immune system, promoting local and systemic inflammation, which in turn has negative effects increasing endothelial dysfunction, muscle catabolism, insulin and erythropoietin resistance, and decreases appetite. Some methods have been proposed to decrease inflammation and uremic toxin accumulation, as more efficient dialysis and anti-inflammatory drugs; however, some of them have limited efficacy and high cost. Nutritional treatments focused on modifying intestinal environment, as pre- and probiotics have promising effects by altering production and absorption of uremic toxins and decreasing inflammation; nevertheless, there is scarce information regarding its use and their role in ESRD, particularly in peritoneal dialysis, which is a widely used therapy in México. Furthermore, there is no clinical study comparing the effectiveness of prebiotics, probiotics, and symbiotics on serum concentrations of uremic toxins and inflammation in ESRD patients. It is possible that the administration of a nutritional supplement of probiotics and/or prebiotics decreases the serum concentrations of uremic toxins and inflammation markers in ESRD patients on automated peritoneal dialysis compared to placebo.
Detailed Description
Objective: The aim of the present study is to evaluate and to compare the effect of a nutritional supplement of probiotics and/or prebiotics on serum concentrations of uremic toxins and inflammatory markers compared to placebo, in automated peritoneal dialysis patients. Sample size: For the sample size calculation a mean differences formula was used, with a 95% confidence level, a 80% sample power and accuracy of 0.05. As a reference, the study of Salmean YA, 2015 was considered; in this study, the administration of pea fiber + inulin during 12 weeks in chronic kidney disease patients, significantly decreased (p<0.05) serum concentrations of p-cresol (5.82 ± 1.72 mg/L) in comparison to placebo (7.25 ± 1.74 mg/L). After substituting formula values and adding 20% of possible losses during follow-up, the sample size is: 28 patients. Additionally, sample size calculation was made considering other outcomes. In the study of Xie LN, 2015, the administration of high-fermentable soluble fiber in ESRD patients on hemodialysis during 6 weeks, significantly decreased (p<0.05) inflammation markers: C-reactive protein (CRP), tumour necrosis factor alpha (TNFa) and interleukin 6 (IL-6) (4.8 ± 4.5 pg/mL, 10.1 ± 1.4 pg/mL, 31.8 ± 5.3 mg/L, respectively) compared to control group (9.5 ± 5.6 pg/mL, 13.1 ± 2.4 pg/mL, 51.5 ± 14.6 mg/L). After substituting the formula, sample size was 19, 7, and 5 for CRP, TNFa and IL-6, respectively. Thus, the highest value was finally used: 28 patients for intervention group. Statistical analysis: Quantitative variables will be shown as mean and standard deviation or median (25-75 percentiles) according to their parametric or non-parametric distribution; Qualitative variables will be shown as frequency and percentage. Intergroup comparisons will be performed with χ2 or Fisher test for qualitative variables and one-way ANOVA or Kruskal-Wallis test for quantitative variables as appropriate. For intra-group comparisons Mc Nemar test will be used for qualitative variables and paired T-test, Wilcoxon, repeated-measures or Friedman ANOVA for quantitative variables as appropriate. An intention to treat analysis will be performed.

6. Conditions and Keywords

Primary Disease or Condition Being Studied in the Trial, or the Focus of the Study
End Stage Renal Failure on Dialysis
Keywords
dialysis, uremic toxin, inflammation, prebiotics, probiotics

7. Study Design

Primary Purpose
Treatment
Study Phase
Not Applicable
Interventional Study Model
Factorial Assignment
Model Description
Parallel assignment, patients in automated peritoneal dialysis will be randomly assigned to one of the four intervention groups: probiotic, prebiotic, symbiotic and placebo
Masking
ParticipantCare ProviderInvestigator
Masking Description
Patient Blinding: Patients in automated peritoneal dialysis will be blinded to the intervention they will receive. Evaluator Blinding: The principal investigator and the Doctorate program student will be blinded to the intervention that patients will receive (probiotic, prebiotic, symbiotic or placebo). Care providers will be blinded to the intervention groups.
Allocation
Randomized
Enrollment
112 (Anticipated)

8. Arms, Groups, and Interventions

Arm Title
Probiotic
Arm Type
Active Comparator
Arm Description
Subjects receiving probiotic supplementation: 2x108 CFU probiotic bacteria + prebiotic placebo per day during 3 months
Arm Title
Prebiotic
Arm Type
Active Comparator
Arm Description
Subjects receiving prebiotic supplementation: 20 g of prebiotic fiber + probiotic placebo per day during 3 months
Arm Title
Symbiotic
Arm Type
Experimental
Arm Description
Subjects receiving probiotic and prebiotic supplementation: 2x108 CFU probiotic bacteria + 20 g of prebiotic fiber per day during 3 months
Arm Title
Placebo
Arm Type
Placebo Comparator
Arm Description
Subjects receiving placebo of probiotic and prebiotic per day during 3 months
Intervention Type
Dietary Supplement
Intervention Name(s)
Probiotic
Intervention Description
The probiotic supplement is composed of the following bacterial strains: Bacillus coagulans, Bacillus subtilis, Bifidobacterium (B) bifidum, B. breve, B. longum, Lactobacillus (L) acidophilus, L. brevis, L. casei, L. helveticus, L. Paracasei, L plantarum, L. rhamnosus, L. salivarus, Lactococcus lactis, Pediococcus acidilactici, Pediococcus parvulus, Weisella confusa, Weisella paramesenteroides
Intervention Type
Dietary Supplement
Intervention Name(s)
Prebiotic
Intervention Description
The prebiotic fiber is Agave inulin
Intervention Type
Dietary Supplement
Intervention Name(s)
Symbiotic
Intervention Description
The supplement is a combination of the probiotic product + the prebiotic fiber
Intervention Type
Dietary Supplement
Intervention Name(s)
Placebo
Intervention Description
The supplement is a combination of probiotic placebo and prebiotic fiber placebo. Placebo will consist on maltodextrin for both cases.
Primary Outcome Measure Information:
Title
Change of uremic toxins from basal to 1 and 3 months
Description
Measurement of serum concentrations of the uremic toxins p-cresyl sulphate (mg/dL) and indoxyl sulphate (mg/dL) by means of liquid chromatography.
Time Frame
Baseline, 1 month and 3 months
Title
Change of uremic toxins from basal to 1 and 3 months
Description
Measurement of serum concentrations of endotoxin (EU/mL) by means of Limulus amebocyte lisate test.
Time Frame
Baseline, 1 month and 3 months
Secondary Outcome Measure Information:
Title
Change in gut microbiota composition from basal to 1 and 3 months
Description
Determination of fecal bacterial composition by DNA extraction and pyrosequencing analysis.
Time Frame
Baseline, 1 month and 3 months
Title
Change in gastrointestinal symptoms from basal to 1 and 3 months
Description
Measurement of appetite and frequency and severity of gastrointestinal symptoms (nausea, vomiting, bloating, diarrhea, constipation) by means of a gastrointestinal symptoms questionnaire.
Time Frame
Baseline, 1 month and 3 months
Title
Change of inflammatory cytokines from basal to 1 and 3 months
Description
Measurement of serum concentrations of inflammatory cytokines Interleukin-6 (pg/mL), Interleukin-10 (pg/mL) and Tumor Necrosis Factor alpha (pg/mL) by means of ELISA.
Time Frame
Baseline, 1 month and 3 months
Title
Change of inflammatory cytokines from basal to 1 and 3 months
Description
Measurement of serum concentrations of C-Reactive Protein (mg/L) by means of nephelometry.
Time Frame
Baseline, 1 month and 3 months

10. Eligibility

Sex
All
Minimum Age & Unit of Time
18 Years
Maximum Age & Unit of Time
80 Years
Accepts Healthy Volunteers
No
Eligibility Criteria
Inclusion Criteria: >3 months on automated peritoneal dialysis treatment Signed informed consent Exclusion Criteria: ESRD of inflammatory cause (lupus, vasculitis, collagenopathies) Intake of probiotics, prebiotics or fiber in the last 3 months Use of anti-inflammatory drugs or nutritional supplements (immunossuppresants, pentoxifylline, NSAIDs, omega-3) Treated with antibiotics or sevelamer Treated with research drugs or participants in any clinical trial Peritonitis or active infection 2 weeks prior the study Any medical condition affecting intestinal absorption (inflammatory bowel disease, short bowel syndrome, bariatric surgery) or severe dysmotility Severe malnutrition Previous kidney transplantation Serious diseases altering the fina outcomes of the study: decompensated heart failure, chronic liver disease, cancer, AIDS.
Central Contact Person:
First Name & Middle Initial & Last Name or Official Title & Degree
Alfonso M Cueto-Manzano, PhD
Phone
52 (33) 38097269
Email
a_cueto_manzano@hotmail.com
First Name & Middle Initial & Last Name or Official Title & Degree
Fabiola Martín-del-Campo, MSc
Phone
52 (33) 10711190
Email
fabi_mc@hotmail.com
Facility Information:
Facility Name
Umae Hospital de Especialidades
City
Guadalajara
State/Province
Jalisco
ZIP/Postal Code
44290
Country
Mexico
Facility Contact:
First Name & Middle Initial & Last Name & Degree
ALFONSO M CUETO-MANZANO, PhD
Phone
(52) 333668300
Ext
32204
Email
a_cueto_manzano@hotmail.com
First Name & Middle Initial & Last Name & Degree
Fabiola Martín-del-Campo, MSc
First Name & Middle Initial & Last Name & Degree
Hugo E Chavez-Chavez, MD

12. IPD Sharing Statement

Plan to Share IPD
Undecided
Citations:
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22626821
Citation
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Links:
URL
https://www.usrds.org/2017/view/Default.aspx
Description
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Effect of Prebiotics and/or Probiotics on Uremic Toxins and Inflammation Markers in Peritoneal Dialysis Patients

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