- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT03975413
Fecal Microbiota Transplantation (FMT) in Multiple Sclerosis
Single-Arm, Non-Randomized, Time Series, Single-Subject Study: Fecal Microbiota Transplantation (FMT) in Multiple Sclerosis
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Study Type
Enrollment (Actual)
Contacts and Locations
Study Locations
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Illinois
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Chicago, Illinois, United States, 60612
- Rush University Medical Center
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- Older than 18 years of age.
- Diagnosis of relapsing-remitting multiple sclerosis (RRMS) by neurology(primary specialist).
- Presence of active lesions on brain or spinal cord MRI, in the past 1 year prior to baseline.
- MS disease duration greater than 1 year.
- Symptomatic (Active RRMS).
- On MS therapy/medication greater than 4 weeks.
Exclusion Criteria:
- Newly diagnosed multiple sclerosis.
- Inactive relapsing-remitting multiple sclerosis (RRMS).
- Unstable or no MS therapy/medication use.
- Presence of symptomatically active gastrointestinal diseases such as inflammatory bowel disease or celiac disease (except for hemorrhoids, hiatal hernia, or occasional (˂3 times a week) heartburn)).
- Pre-existent organ failure or co-morbidities as these may change GI flora: a) liver disease (cirrhosis or persistently abnormal AST or ALT that are 2X˃ normal); b) kidney disease (creatinine ˃ 2.0mg/dL); c) uncontrolled psychiatric illness; d) clinically active lung disease or decompensated heart failure; e) known HIV infection; f) alcoholism; g) transplant recipients (other than FMT); h) diabetes
- Severe malnutrition or obesity with BMI ˃ 40.
- Antibiotic and probiotic use (except yogurt) within 4 weeks of enrollment.
- Chronic use of NSAIDS. A washout period of 3 weeks is needed before the subject could be enrolled into the study. Low dose aspirin is allowed.
- Pregnant or lactating women or intention of getting pregnant during the trial period.
- Active infection including untreated latent or active tuberculosis, HIV, hepatitis, syphilis or other major active infection.
- Active symptomatic C. Difficile infection (colonization is not an exclusion).
- Active gastrointestinal condition being investigated (i.e. GI bleeding, colon cancer, active GI workup); history of known or suspected toxic megacolon and/or known small bowel ileus, major gastrointestinal surgery (e.g. significant bowel resection) within 3 months before enrollment (note that this does not include appendectomy or cholecystectomy); or history of total colectomy or bariatric surgery.
Study Plan
How is the study designed?
Design Details
- Observational Models: Case-Only
- Time Perspectives: Prospective
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
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N=1 MS patient
Single-Arm, Non-Randomized, Time Series, Single-Subject Study. Observational study of the FMT intervention. Single subject studies are based on repeated observations within an individual over time and are acknowledged as an important research method for generating scientific evidence about the health or behavior of an individual. This design is desirable when the available patient pool is limited and thus it is not optimal to randomize participants to a control arm. The subject serves as his/her own control, rather than using another individual/group.These designs are used primarily to evaluate the effect of a variety of interventions in early stage clinical research development. |
Longitudinal FMT study: Baseline, 3 week, 13 week, 26 week, 39 week, 52 week
Other Names:
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Fecal microbial community structure and functional changes over six time frames for phylum, genus and species taxonomic level bacteria, virus, fungi, and archaea.
Time Frame: Baseline, 3 week, 13 week, 26 week, 39 week, 52 week
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Shotgun Metagenomics
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Baseline, 3 week, 13 week, 26 week, 39 week, 52 week
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Walking and balance changes over four time frames for stride time (seconds).
Time Frame: Baseline, 3 week, 13 week, 52 week
|
Orthopedic gait task, side gaze gait, and alternating gaze gait metrics.
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Baseline, 3 week, 13 week, 52 week
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Walking and balance changes over four time frames for stride distance (meters).
Time Frame: Baseline, 3 week, 13 week, 52 week
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Orthopedic gait task, side gaze gait, and alternating gaze gait metrics.
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Baseline, 3 week, 13 week, 52 week
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Walking and balance changes over four time frames for cadence (total number of steps per minute).
Time Frame: Baseline, 3 week, 13 week, 52 week
|
Orthopedic gait task, side gaze gait, and alternating gaze gait metrics.
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Baseline, 3 week, 13 week, 52 week
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Walking and balance changes over four time frames for step width (meters).
Time Frame: Baseline, 3 week, 13 week, 52 week
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Orthopedic gait task, side gaze gait, and alternating gaze gait metrics.
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Baseline, 3 week, 13 week, 52 week
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Walking and balance changes over four time frames for average pelvis forward velocity (meters per second).
Time Frame: Baseline, 3 week, 13 week, 52 week
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Orthopedic gait task, side gaze gait, and alternating gaze gait metrics.
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Baseline, 3 week, 13 week, 52 week
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Walking and balance changes over four time frames for pelvis smoothness (pelvis horizontal speed).
Time Frame: Baseline, 3 week, 13 week, 52 week
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Orthopedic gait task, side gaze gait, and alternating gaze gait metrics.
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Baseline, 3 week, 13 week, 52 week
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Fecal targeted short-chain-fatty-acid metabolomics concentration changes over six time frames for acetate (mM/kg), propionate (mM/kg), butyrate (mM/kg), and total SCFA (mM/kg).
Time Frame: Baseline, 3 week, 13 week, 26 week, 39 week, 52 week
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Targeted metabolomics of short-chain-fatty-acids (SCFA).
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Baseline, 3 week, 13 week, 26 week, 39 week, 52 week
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Measurement of blood serum biomarker brain-derived neurotrophic factor (BDNF) (ng/ml) changes over six time frames.
Time Frame: Baseline, 3 week, 13 week, 26 week, 39 week, 52 week
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ELISA (enzyme-linked immunosorbent assay)
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Baseline, 3 week, 13 week, 26 week, 39 week, 52 week
|
Sleep changes over six time frames.
Time Frame: Baseline, 3 week, 13 week, 26 week, 39 week, 52 week
|
Munich ChronoType Questionnaire (MCTQ).
Questions about work day and free day sleep schedules, work details, and lifestyle provide data to aid in the understanding of how biological clocks work in social life, such as Roenneberg's conclusions of social jetlag.
The MCTQ categorizes each participant into one of seven chronotype groups, and utilizes data on participants' midsleep phase and sleep debt to survey what "type" of sleeper each person is.
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Baseline, 3 week, 13 week, 26 week, 39 week, 52 week
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Food timing changes over six time frames.
Time Frame: Baseline, 3 week, 13 week, 26 week, 39 week, 52 week
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Food Timing Screener (FTS) questionnaire.
A structured food demographics questionnaire was therefore developed to access food timing.
The questionnaire consists of eight questions asking subjects' eating habits on work days and non-work days.
Questions include the time of the main meal during work and non-work days, time of last meal before bed, consistency of dinner within work and non-work days, and consistency of breakfast, lunch, and dinner between work and non-work days.
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Baseline, 3 week, 13 week, 26 week, 39 week, 52 week
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Gastrointestinal symptoms changes over six time frames (t-scores, mean, standard deviations).
Time Frame: Baseline, 3 week, 13 week, 26 week, 39 week, 52 week
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Patient-Reported Outcomes Measurements Information System (PROMIS) gastrointestinal questionnaire for Belly Pain (6 questions), Bowel Incontinence (4 questions), Constipation (9 questions), and Gas & Bloating (12 questions).
Higher score denoted more GI symptoms.
Lower score denotes less GI symptoms.
Scores range from 20 (low) to 80 (high).
A score of 50 is denoted as the general population.
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Baseline, 3 week, 13 week, 26 week, 39 week, 52 week
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Walking changes over six time frames.
Time Frame: Baseline, 3 week, 13 week, 26 week, 39 week, 52 week
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Multiple sclerosis walking scale questionnaire.
Higher scores indicate a greater impact from MS on walking than lower scores.
Scale range from 1 (no impact) to 5 (high impact).
12 questions in total.
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Baseline, 3 week, 13 week, 26 week, 39 week, 52 week
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Lesions changes over three time frames.
Time Frame: Baseline, 26 week and 52 week
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MRI of brain and spine
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Baseline, 26 week and 52 week
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Food and frequency of consumption changes over six time frames.
Time Frame: Baseline, 3 week, 13 week, 26 week, 39 week, 52 week
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Food Time Questionnaire (FTQ) consists of a list of foods and the frequency in which these foods are consumed in at each time frame.
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Baseline, 3 week, 13 week, 26 week, 39 week, 52 week
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Single day food recall changes over six time frames.
Time Frame: Baseline, 3 week, 13 week, 26 week, 39 week, 52 week
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Automated Self-Administered 24-Hour Recall (ASA24) Dietary Assessment.
Total nutrients from all supplements reported in a given day.
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Baseline, 3 week, 13 week, 26 week, 39 week, 52 week
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Diet changes over six time frames.
Time Frame: Baseline, 3 week, 13 week, 26 week, 39 week, 52 week
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Vioscreen Food Frequency Questionnaire (FFQ).
Total of 19 measured food components collected for each time frame.
Vioscreen captures comprehensive dietary behaviors in just 30 minutes.
VioScreen is a unique online dietary questionnaire, management and analysis system that efficiently gathers and manages data, that immediately identify dietary "habits" and counsel for lifestyle changes.
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Baseline, 3 week, 13 week, 26 week, 39 week, 52 week
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Measurement of blood serum biomarker Interleukin-6 (IL-6) (pg/ml) changes over six time frames.
Time Frame: Baseline, 3 week, 13 week, 26 week, 39 week, 52 week
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ELISA (enzyme-linked immunosorbent assay)
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Baseline, 3 week, 13 week, 26 week, 39 week, 52 week
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Measurement of blood serum biomarker Interleukin-* (IL-8) (pg/ml) changes over six time frames.
Time Frame: Baseline, 3 week, 13 week, 26 week, 39 week, 52 week
|
ELISA (enzyme-linked immunosorbent assay)
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Baseline, 3 week, 13 week, 26 week, 39 week, 52 week
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Measurement of blood serum biomarker Tumor necrosis factor alpha (TNFα) (pg/ml) changes over six time frames.
Time Frame: Baseline, 3 week, 13 week, 26 week, 39 week, 52 week
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ELISA (enzyme-linked immunosorbent assay)
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Baseline, 3 week, 13 week, 26 week, 39 week, 52 week
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Collaborators and Investigators
Sponsor
Publications and helpful links
General Publications
- Jangi S, Gandhi R, Cox LM, Li N, von Glehn F, Yan R, Patel B, Mazzola MA, Liu S, Glanz BL, Cook S, Tankou S, Stuart F, Melo K, Nejad P, Smith K, Topcuolu BD, Holden J, Kivisakk P, Chitnis T, De Jager PL, Quintana FJ, Gerber GK, Bry L, Weiner HL. Alterations of the human gut microbiome in multiple sclerosis. Nat Commun. 2016 Jun 28;7:12015. doi: 10.1038/ncomms12015.
- Cekanaviciute E, Yoo BB, Runia TF, Debelius JW, Singh S, Nelson CA, Kanner R, Bencosme Y, Lee YK, Hauser SL, Crabtree-Hartman E, Sand IK, Gacias M, Zhu Y, Casaccia P, Cree BAC, Knight R, Mazmanian SK, Baranzini SE. Gut bacteria from multiple sclerosis patients modulate human T cells and exacerbate symptoms in mouse models. Proc Natl Acad Sci U S A. 2017 Oct 3;114(40):10713-10718. doi: 10.1073/pnas.1711235114. Epub 2017 Sep 11. Erratum In: Proc Natl Acad Sci U S A. 2017 Oct 17;114(42):E8943.
- Tremlett H, Fadrosh DW, Faruqi AA, Hart J, Roalstad S, Graves J, Lynch S, Waubant E; US Network of Pediatric MS Centers. Gut microbiota composition and relapse risk in pediatric MS: A pilot study. J Neurol Sci. 2016 Apr 15;363:153-7. doi: 10.1016/j.jns.2016.02.042. Epub 2016 Feb 20.
- Ochoa-Reparaz J, Magori K, Kasper LH. The chicken or the egg dilemma: intestinal dysbiosis in multiple sclerosis. Ann Transl Med. 2017 Mar;5(6):145. doi: 10.21037/atm.2017.01.18.
- Smits LP, Bouter KE, de Vos WM, Borody TJ, Nieuwdorp M. Therapeutic potential of fecal microbiota transplantation. Gastroenterology. 2013 Nov;145(5):946-53. doi: 10.1053/j.gastro.2013.08.058. Epub 2013 Sep 7.
- Berer K, Gerdes LA, Cekanaviciute E, Jia X, Xiao L, Xia Z, Liu C, Klotz L, Stauffer U, Baranzini SE, Kumpfel T, Hohlfeld R, Krishnamoorthy G, Wekerle H. Gut microbiota from multiple sclerosis patients enables spontaneous autoimmune encephalomyelitis in mice. Proc Natl Acad Sci U S A. 2017 Oct 3;114(40):10719-10724. doi: 10.1073/pnas.1711233114. Epub 2017 Sep 11.
- Kaskow BJ, Baecher-Allan C. Effector T Cells in Multiple Sclerosis. Cold Spring Harb Perspect Med. 2018 Apr 2;8(4):a029025. doi: 10.1101/cshperspect.a029025.
- Berer K, Mues M, Koutrolos M, Rasbi ZA, Boziki M, Johner C, Wekerle H, Krishnamoorthy G. Commensal microbiota and myelin autoantigen cooperate to trigger autoimmune demyelination. Nature. 2011 Oct 26;479(7374):538-41. doi: 10.1038/nature10554.
- Kirby TO, Ochoa-Reparaz J. The Gut Microbiome in Multiple Sclerosis: A Potential Therapeutic Avenue. Med Sci (Basel). 2018 Aug 24;6(3):69. doi: 10.3390/medsci6030069.
- Adamczyk-Sowa M, Medrek A, Madej P, Michlicka W, Dobrakowski P. Does the Gut Microbiota Influence Immunity and Inflammation in Multiple Sclerosis Pathophysiology? J Immunol Res. 2017;2017:7904821. doi: 10.1155/2017/7904821. Epub 2017 Feb 20.
- Camara-Lemarroy CR, Metz LM, Yong VW. Focus on the gut-brain axis: Multiple sclerosis, the intestinal barrier and the microbiome. World J Gastroenterol. 2018 Oct 7;24(37):4217-4223. doi: 10.3748/wjg.v24.i37.4217.
- Makkawi S, Camara-Lemarroy C, Metz L. Fecal microbiota transplantation associated with 10 years of stability in a patient with SPMS. Neurol Neuroimmunol Neuroinflamm. 2018 Apr 3;5(4):e459. doi: 10.1212/NXI.0000000000000459. eCollection 2018 Jul. No abstract available.
- Quintana FJ, Prinz M. A gut feeling about multiple sclerosis. Proc Natl Acad Sci U S A. 2017 Oct 3;114(40):10528-10529. doi: 10.1073/pnas.1714260114. Epub 2017 Sep 25. No abstract available.
- Chu F, Shi M, Lang Y, Shen D, Jin T, Zhu J, Cui L. Gut Microbiota in Multiple Sclerosis and Experimental Autoimmune Encephalomyelitis: Current Applications and Future Perspectives. Mediators Inflamm. 2018 Apr 2;2018:8168717. doi: 10.1155/2018/8168717. eCollection 2018.
- Hooper LV, Littman DR, Macpherson AJ. Interactions between the microbiota and the immune system. Science. 2012 Jun 8;336(6086):1268-73. doi: 10.1126/science.1223490. Epub 2012 Jun 6.
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 (Actual)
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
- 18082009
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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