- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT02970877
Stool Transplantation for Treatment of Insulin Resistance in Morbidly Obese Patients
Fecal Microbiota Transplant From Healthy Lean Donors to Morbidly Obese Individuals: Effect on Insulin Resistance and Other Obesity-related Parameters. A Randomized Controlled Trial.
More and more people in Canada and around the world are severely (morbidly) obese, and this is associated with a high risk for poor blood sugar control (insulin resistance, IR) and diabetes. Weight loss is often very hard to achieve for morbidly obese patients. Bariatric surgery is a very effective treatment, but it has some risks and is not available to all patients. Therefore, alternative treatments are needed.
The gut bacteria (intestinal microbiome) might play a role for the development of obesity and IR. Several studies in animals have shown that transferring stool from lean mice or humans into obese animals could lead to weight loss and improve IR. One human study has confirmed this. The investigators are therefore examining, whether transfer of stool from healthy lean people into morbidly obese patients with IR will improve blood sugar control, weight, and other obesity related parameters. This will be done in a randomized controlled trial. Effects on mental health and the bacterial in the mouth related to gum disease will also be assessed.
If successful, fecal transfer could be a new alternative treatment approach for morbidly obese patients or those with IR who do not have access to or do not want to undergo bariatric surgery.
Study Overview
Status
Conditions
Detailed Description
The coupled disorders of morbid obesity and type 2 diabetes (T2D) are a major and growing public health problem in Canada. The Public Health Agency of Canada 2011 report, Obesity in Canada, showed that 5.1% and 2.7% of Canadians had obesity class II (body mass index (BMI) 35.0-39.9) and III (BMI >40 kg/m2), respectively. Morbid obesity is associated with not only T2D (up to 42% of morbidly obese patients), but also cardiovascular complications, non-alcoholic fatty liver disease and sleep apnea, and the prevalence of psychiatric disorders, particularly depression and anxiety, is high in this population. As morbid obesity is very difficult to treat, drastic measures are required, and bariatric surgery is often the only viable treatment option. Bariatric surgery is nowadays a frequently performed procedure (about 400 surgeries/year at the University Health Network (UHN)), and there are different techniques, including gastric banding, sleeve gastrectomy, and Roux-en-Y gastric bypass. Of these procedures, the Roux-en-Y gastric bypass surgery has become the gold standard, and it is highly effective in inducing long-term weight loss and improving or even resolving all of the obesity associated comorbidities. However, bariatric surgery is invasive, costly, has a risk of complications, and requires life-long commitment to a restricted diet. Therefore, a significant proportion of patients with morbid obesity is not willing to undergo the procedure, and a small proportion is excluded from the procedure due to other physical or mental health problems.In addition, depending on the health care system, bariatric surgery might not be available to a large proportion of patients. Regarding the growing rates of obesity and morbid obesity world-wide, less expensive and less invasive alternatives to bariatric surgery are urgently needed.
Even though obesity largely results from an imbalance between energy intake and energy expenditure, it has been shown that several factors, including the genetic background can render individuals susceptible to obesity. Most recently, the role of the intestinal microbiome has been under investigation. It has been shown that obese people have an intestinal microbiome and metagenome that is significantly different from lean controls, and this is even true in identical twins discordant for obesity. In addition, patients with T2D have a different intestinal microbiome than controls. Work done in rodents showed that fecal microbiota transplant (FMT) from lean to obese animals (and vice versa) can affect fat mass and parameters of the metabolic syndrome. It is thus possible that FMT may benefit human obesity with related metabolic abnormalities. FMT is becoming standard therapy for patients with refractory Clostridium difficile colitis and may become a treatment option in other gastrointestinal disorders. Only one human study (n=9) investigated FMT from lean subjects to obese patients (~BMI 35 kg/m2) with metabolic syndrome and showed improvement in insulin sensitivity. Taken altogether, these very exciting results led us to hypothesize that that FMT from healthy lean donors could effectively induce metabolic improvement (i.e. insulin resistance (IR)) and weight loss) by distinct microbe-specific mediated mechanisms. The investigators will examine this in a single-center, double-blind, randomized controlled parallel-group trial (RCT).
Furthermore, emerging evidence shows that the intestinal microbiome, through the gut-brain axis, can influence mood disorders. First animal studies suggest that FMT can transfer depression and anxiety and therefore, FMT from healthy individuals may provide some benefits. Therefore, the investigators will also assess, whether FMT influences depression and anxiety, which are highly prevalent in obese patients. Finally, our Canadian Institutes for Health Research (CIHR) Team Grant, which supports this RCT, is also studying the potential relationship between obesity, T2D and the oral microbiome (OM). Considering that microbes present in the saliva are swallowed in significant numbers-about 10^12 oral bacteria per day-and that this may influence the composition of the intestinal microbiome, the investigators are also exploring the potential relationship between oral and intestinal microbiome and their associations with obesity and T2D. Having a FMT protocol gives us the unique opportunity to further assess this potential relationship and determine if FMT may change OM by improving obesity and metabolic parameters. This has not been previously studied in animals or humans.
The aims of this RCT are to assess whether FMT from healthy lean individuals into morbidly obese patients with IR who decline bariatric surgery, leads to 1) improvement in metabolic parameters: IR, BMI, and other obesity related parameters; 2) improvement in mood disorders: depression and anxiety scores; 3) changes in the intestinal microbiome and metabolome. 4) In addition, by assessing the OM through the FMT protocol and by combining these results with the results of our other protocols in a similar patient population going through bariatric surgery, the investigators will explore the relationship between oral/intestinal microbiome and obesity/metabolic parameters. 5) Furthermore, as planned in our CIHR Team Grant, the investigators will use the FMT from the lean donors and transfer into obese mice to assess the effect of FMT on mechanisms related to glucose metabolism. These additional experiments are not part of this protocol but are mentioned briefly, as stool samples and data from the patients and donors participating in the FMT trial will be used for the other studies in our CIHR Team Grant.
Significance. The number of obese patients is growing world-wide. The investigators are examining here a'medical bypass' solutions to treat the 40-50% of obese patients that meet the criteria set by the National Institutes for Health (NIH) for bariatric surgery (12, 36) but decline (13), or the much larger population of obese patients (BMI 30-40 kg/m2) who may not be considered for surgical treatment.
Study Type
Enrollment (Actual)
Phase
- Phase 2
Contacts and Locations
Study Locations
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Ontario
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Toronto, Ontario, Canada, M5G 2C4
- University Health Network
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Men and women
- age 18 years or older
- morbidly obese (BMI >40 kg/m² or BMI >35-40 kg/m² with other severe weight loss responsive comorbidities)
- referred to the Bariatric Clinic at the Toronto Western Hospital for weight loss surgery, but declining or deferring the surgery
- insulin resistance (HOMA-IR value >2.73)
Exclusion Criteria:
In the 3 months prior to study entry, regular intake of:
- non-steroidal anti-inflammatory drugs;
- iron supplements;
- prebiotics or probiotics from other than food sources;
- antibiotics; or
- any experimental drug
- Type 1 or type 2 diabetes
- chronic gastrointestinal diseases
- previous gastrointestinal surgery modifying the anatomy
- smoking
- pregnancy or breastfeeding
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Treatment
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Quadruple
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
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Experimental: Allogenic treatment group
Fecal filtrate from 150 g stool from healthy lean donors
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150 g stool from healthy lean donors will be diluted in 0.9% normal saline to a total volume of 450 mL.
Preparation from frozen stool.
Other Names:
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Placebo Comparator: Autologous control group
Fecal filtrate from 150 g of the recipient's own stool
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150 g stool from the recipient will be diluted in 0.9% normal saline to a total volume of 450 mL.
Preparation from frozen stool.
Other Names:
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Change in Insulin Resistance Compared to Baseline
Time Frame: 1 month, 3 month
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Looking at the change in Homeostasis model of assessment for insulin resistance (HOMA-IR).
HOMA-IR > 2.73 is considered as insulin resistance.
The higher HOMA-IR, the worse the insulin resistance.
For this measure, we looked at the change in HOMA-IR.
Those with more reduction in HOMA-IR experience more improvement in their insulin resistance.
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1 month, 3 month
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Weight
Time Frame: Baseline, 1 mo, 3 mo
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Body weight (kg)
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Baseline, 1 mo, 3 mo
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Body Mass Index
Time Frame: Baseline, 1 mo, 3 mo
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Weight (kg)/ height (m^2)
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Baseline, 1 mo, 3 mo
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Appetite Score
Time Frame: Baseline, 1 mo, 3 mo
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Appetite score according to visual analog scale.
Scores range from 0 to 10.
In hunger, zero means not hungry at all.
In prospective consumption, 0 means "don't think they can eat anything at all" and lower score is better.
In sweet craving, zero means "they very much would like to eat something sweet", thus, higher score is better.
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Baseline, 1 mo, 3 mo
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Quality of Life Questionnaire
Time Frame: Baseline, 3 mo
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RAND 36-Item Health Survey 1.0 (SF-36).
It is a 36-item questionnaire that asks questions about physical functioning, bodily pain, emotional well-being, social functioning, energy/fatigue, and general health perceptions, role limitations due to physical health problems, role limitations due to personal or emotional problems.
The lowest score is 0 and the highest score is 100.
Higher score shows better overall quality of life.
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Baseline, 3 mo
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Depression Score
Time Frame: Baseline, 3 mo
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Montgomery-Åsberg Depression Rating Scale (MADRS) is used in assessing severity od depressive episode.
The score for each question is combined for the total score which ranges from 0 to 60. Zero means no depressive episode and 60 means severe depression.
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Baseline, 3 mo
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Anxiety Score
Time Frame: Baseline, 3 mo
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Hamilton Anxiety Rating Scale (Ham-A) is a questionnaire that assesses anxiety.
The scale is 0 to 30.
0 means no anxiety present and 30 means severe anxiety.
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Baseline, 3 mo
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Other Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Hemoglobin A1c
Time Frame: Baseline, 1 mo, 3 mo
|
Blood measurement which measures proportion of glycated hemoglobin to total hemoglobin.
This measurement assesses the blood glucose control in the last 3 months.
Generally, hemoglobin A1c < 0.060 is normal, 0.060 ≤ hemoglobin A1c <0.065 is prediabetic and ≥ 0.065 is diabetic.
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Baseline, 1 mo, 3 mo
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Change in Intestinal Microbiome in Stool, Composition
Time Frame: Baseline, 1 mo, 3 mo
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Measured by metagenomic sequencing.
This measurement assesses the change in bacterial relative abundance level (in percentage) in the stool following the treatment.
Higher values of beneficial bacteria and lower values of harmful bacteria is better.
Thus, it is expected that post-FMT, beneficial bacteria will increase and harmful bacteria decrease.
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Baseline, 1 mo, 3 mo
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Blood Lipid Profile
Time Frame: Baseline, 1 mo, 3 mo
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Blood measurement assessing the levels of lipid parameters such as cholesterol and LDL.
Higher values for LDL and cholesterol may mean the person has dyslipidemia
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Baseline, 1 mo, 3 mo
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Change in Food Intake
Time Frame: Baseline, 1 mo, 3 mo
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Total daily energy intake from 3-day food record
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Baseline, 1 mo, 3 mo
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Change in Food Intake
Time Frame: Baseline, 1 mo, 3 mo
|
Daily fat intake (% of energy) from 3-day food record
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Baseline, 1 mo, 3 mo
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Change in Food Intake
Time Frame: Baseline, 1 mo, 3 mo
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Daily carbohydrates intake (amount g/d, energy and % of energy) from 3-day food record
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Baseline, 1 mo, 3 mo
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Change in Food Intake
Time Frame: Baseline, 1 mo, 3 mo
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Daily protein intake (amount g/d, energy and % of energy) from 3-day food record
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Baseline, 1 mo, 3 mo
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Change in Food Intake
Time Frame: Baseline, 1 mo, 3 mo
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Daily fiber intake (g) from 3-day food record
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Baseline, 1 mo, 3 mo
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Physical Activity
Time Frame: Baseline, 1 mo, 3 mo
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Activity log, self-completed
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Baseline, 1 mo, 3 mo
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Stool Metabolomics
Time Frame: Baseline, 1 mo, 3 mo
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Metabolites and molecules in the stool sample measured using nuclear magnetic resonance spectroscopy.
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Baseline, 1 mo, 3 mo
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Serum Metabolomics
Time Frame: Baseline, 1 mo, 3 mo
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Nuclear magnetic resonance spectroscopy
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Baseline, 1 mo, 3 mo
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Collaborators and Investigators
Sponsor
Collaborators
Investigators
- Principal Investigator: Johane P Allard, MD, University Health Network, University of Toronto
Publications and helpful links
General Publications
- Vrieze A, Van Nood E, Holleman F, Salojarvi J, Kootte RS, Bartelsman JF, Dallinga-Thie GM, Ackermans MT, Serlie MJ, Oozeer R, Derrien M, Druesne A, Van Hylckama Vlieg JE, Bloks VW, Groen AK, Heilig HG, Zoetendal EG, Stroes ES, de Vos WM, Hoekstra JB, Nieuwdorp M. Transfer of intestinal microbiota from lean donors increases insulin sensitivity in individuals with metabolic syndrome. Gastroenterology. 2012 Oct;143(4):913-6.e7. doi: 10.1053/j.gastro.2012.06.031. Epub 2012 Jun 20. Erratum In: Gastroenterology. 2013 Jan;144(1):250.
- Kelly CR, Kahn S, Kashyap P, Laine L, Rubin D, Atreja A, Moore T, Wu G. Update on Fecal Microbiota Transplantation 2015: Indications, Methodologies, Mechanisms, and Outlook. Gastroenterology. 2015 Jul;149(1):223-37. doi: 10.1053/j.gastro.2015.05.008. Epub 2015 May 15.
- Hamilton MJ, Weingarden AR, Unno T, Khoruts A, Sadowsky MJ. High-throughput DNA sequence analysis reveals stable engraftment of gut microbiota following transplantation of previously frozen fecal bacteria. Gut Microbes. 2013 Mar-Apr;4(2):125-35. doi: 10.4161/gmic.23571. Epub 2013 Jan 18.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Estimated)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- 16-5475
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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