- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06256614
Washed Microbiota Transplantation for Type 1 Diabetes Mellitus
April 16, 2024 updated by: Faming Zhang, The Second Hospital of Nanjing Medical University
Washed Microbiota Transplantation for Type 1 Diabetes Mellitus: a Real World Research
This is a real-world study to explore the safety and the efficacy of washed microbiota transplantation (WMT) for patients with Type 1 Diabetes Mellitus (T1DM).
Study Overview
Detailed Description
At least 20 subjects who meet all the inclusion criteria but do not meet any exclusion criteria will be enrolled in this study.
Data of demographic characteristics, blood glucose fluctuation and variability, daily insulin dosage and clinical outcomes will be collected.
After treatment, they will enter the follow-up period for safety and efficacy evaluation.
Study Type
Observational
Enrollment (Estimated)
50
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Contact
- Name: Faming Zhang, PhD
- Phone Number: 086-025-58509883
- Email: fzhang@njmu.edu.cn
Study Contact Backup
- Name: Bota Cui
- Phone Number: 086-025-58509884
- Email: cuibota@njmu.edu.cn
Study Locations
-
-
Jiangsu
-
Nanjing, Jiangsu, China, 210011
- Recruiting
- Medical Center for Digestive Diseases, The Second Affiliated Hospital of Nanjing Medical University
-
Contact:
- Faming Zhang, MD, PhD
- Phone Number: 086-25-58509883
- Email: fzhang@njmu.edu.cn
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
- Older Adult
Accepts Healthy Volunteers
No
Sampling Method
Non-Probability Sample
Study Population
National patients with T1DM receiving WMT will be enrolled.
Description
Inclusion Criteria:
Subjects must meet all of the following inclusion criteria to enter the study:
- At the time of informed consent, male or non-pregnant or non-lactating female.
- The diagnostic criteria for T1DM are confirmed by previous medical record.
- The subject or his/her legal representative gives informed consent, fully nderstands the purpose of the study, is able to communicate effectively with the investigator, and comprehends and complies with the requirements set forth in the study.
Exclusion Criteria:
Subjects meeting any of the following exclusion criteria must be excluded from the study:
- Diagnosed as any type of diabetes other than type 1 diabetes mellitus;
- Subjects with severe life-threatening complications diabetes (such as ketoacidosis, or acute coronary syndrome, etc.);
- At the time of screening, the subject or his/her legal representative refuses to take effective contraception within 3 months after the last treatment.
- According to the judgment of the investigator, the subjects are not suitable to participate in this clinical study, or participation in this clinical study cannot guarantee the rights and interests of the subjects.
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
The mean daily insulin dosage of participants
Time Frame: One-week, Two-week, Four-week post-WMT
|
The mean daily insulin dosage of participants in past week
|
One-week, Two-week, Four-week post-WMT
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
The Blood glucose of Time in Range (TIR, %) of type 1 diabetes mellitus.
Time Frame: One-week, Two-week, Four-week post-WMT
|
The proportion of time spent within the target blood sugar range (typically 3.9 to 10.0mmol/L) over a 24-hour period
|
One-week, Two-week, Four-week post-WMT
|
The SD of blood glucose (SDBG, mmol/L) of type 1 diabetes mellitus.
Time Frame: One-week, Two-week, Four-week post-WMT
|
The standard deviation of measured values during immediate blood glucose monitoring
|
One-week, Two-week, Four-week post-WMT
|
The largest amplitude of glycemic excursions (LAGE, mmol/L) of type 1 diabetes mellitus.
Time Frame: One-week, Two-week, Four-week post-WMT
|
The range of blood glucose values observed during immediate blood glucose monitoring
|
One-week, Two-week, Four-week post-WMT
|
The mean amplitude of glycemic excursion (MAGE, mmol/L) of type 1 diabetes mellitus.
Time Frame: One-week, Two-week, Four-week post-WMT
|
After filtering out blood glucose fluctuations below a certain threshold (usually 1 SD), the average fluctuation amplitude is calculated based on the direction of the first significant fluctuation
|
One-week, Two-week, Four-week post-WMT
|
The mean of daily differences (MODD, mmol/L) of type 1 diabetes mellitus.
Time Frame: One-week, Two-week, Four-week post-WMT
|
The average absolute difference between corresponding measured values over a continuous 48-hour period
|
One-week, Two-week, Four-week post-WMT
|
The postprandial glucose excursions (PPGE, mmol/L) of type 1 diabetes mellitus.
Time Frame: One-week, Two-week, Four-week post-WMT
|
The average absolute difference between post-meal blood glucose taken 2 hours after three meals and the corresponding pre-meal blood glucose.
|
One-week, Two-week, Four-week post-WMT
|
The mean blood glucose (MBG, mmol/L) of type 1 diabetes mellitus.
Time Frame: One-week, Two-week, Four-week post-WMT
|
Average values obtained from immediate blood glucose monitoring
|
One-week, Two-week, Four-week post-WMT
|
The coefficient of variation (CV, %) of type 1 diabetes mellitus.
Time Frame: One-week, Two-week, Four-week post-WMT
|
CV=(SDBG÷MBG)×100%
|
One-week, Two-week, Four-week post-WMT
|
The frequency of hypoglycemia or duration of hypoglycemic state in the last 1 week
Time Frame: One-week, Two-week, Four-week post-WMT
|
Hypoglycemia is defined as blood glucose < 3.9 mmol/L
|
One-week, Two-week, Four-week post-WMT
|
The incidence of treatment-related adverse events (AE) assessed by CTCAE, Version 5.0
Time Frame: One-week, Two-week, Four-week post-WMT
|
The severity of AE was graded as mild (grade 1), moderate (grade 2), severe/disabling (grade 3), life threatening (grade 4), and death (grade 5).
All AE were divided in definitely, probably and possibly related to treatment.
The treatment-related AE we focused on included microbiota-related AEs (e.g., infection, diarrhea, abdominal pain, etc.) and route of delivery related AEs (e.g., nausea, vomiting, etc.)
|
One-week, Two-week, Four-week post-WMT
|
The islet β-cell function after WMT compared with baseline
Time Frame: Three-day, One-week, Two-week, Four-week post-WMT
|
2-hour postprandial C-peptide release was used to reflect islet β-cell function
|
Three-day, One-week, Two-week, Four-week post-WMT
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Investigators
- Principal Investigator: Faming Zhang, PhD, The Second Hospital of Nanjing Medical University
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
General Publications
- Sampson TR, Debelius JW, Thron T, Janssen S, Shastri GG, Ilhan ZE, Challis C, Schretter CE, Rocha S, Gradinaru V, Chesselet MF, Keshavarzian A, Shannon KM, Krajmalnik-Brown R, Wittung-Stafshede P, Knight R, Mazmanian SK. Gut Microbiota Regulate Motor Deficits and Neuroinflammation in a Model of Parkinson's Disease. Cell. 2016 Dec 1;167(6):1469-1480.e12. doi: 10.1016/j.cell.2016.11.018.
- Surawicz CM, Brandt LJ, Binion DG, Ananthakrishnan AN, Curry SR, Gilligan PH, McFarland LV, Mellow M, Zuckerbraun BS. Guidelines for diagnosis, treatment, and prevention of Clostridium difficile infections. Am J Gastroenterol. 2013 Apr;108(4):478-98; quiz 499. doi: 10.1038/ajg.2013.4. Epub 2013 Feb 26.
- Su G, Mi SH, Tao H, Li Z, Yang HX, Zheng H, Zhou Y, Tian L. Impact of admission glycemic variability, glucose, and glycosylated hemoglobin on major adverse cardiac events after acute myocardial infarction. Diabetes Care. 2013 Apr;36(4):1026-32. doi: 10.2337/dc12-0925. Epub 2013 Jan 24.
- Coutinho M, Gerstein HC, Wang Y, Yusuf S. The relationship between glucose and incident cardiovascular events. A metaregression analysis of published data from 20 studies of 95,783 individuals followed for 12.4 years. Diabetes Care. 1999 Feb;22(2):233-40. doi: 10.2337/diacare.22.2.233.
- Zhang T, Lu G, Zhao Z, Liu Y, Shen Q, Li P, Chen Y, Yin H, Wang H, Marcella C, Cui B, Cheng L, Ji G, Zhang F. Washed microbiota transplantation vs. manual fecal microbiota transplantation: clinical findings, animal studies and in vitro screening. Protein Cell. 2020 Apr;11(4):251-266. doi: 10.1007/s13238-019-00684-8. Epub 2020 Jan 9.
- Li Y, Teng D, Shi X, Qin G, Qin Y, Quan H, Shi B, Sun H, Ba J, Chen B, Du J, He L, Lai X, Li Y, Chi H, Liao E, Liu C, Liu L, Tang X, Tong N, Wang G, Zhang JA, Wang Y, Xue Y, Yan L, Yang J, Yang L, Yao Y, Ye Z, Zhang Q, Zhang L, Zhu J, Zhu M, Ning G, Mu Y, Zhao J, Teng W, Shan Z. Prevalence of diabetes recorded in mainland China using 2018 diagnostic criteria from the American Diabetes Association: national cross sectional study. BMJ. 2020 Apr 28;369:m997. doi: 10.1136/bmj.m997.
- Wang L, Peng W, Zhao Z, Zhang M, Shi Z, Song Z, Zhang X, Li C, Huang Z, Sun X, Wang L, Zhou M, Wu J, Wang Y. Prevalence and Treatment of Diabetes in China, 2013-2018. JAMA. 2021 Dec 28;326(24):2498-2506. doi: 10.1001/jama.2021.22208. Erratum In: JAMA. 2022 Mar 15;327(11):1093.
- Guideline for the prevention and treatment of type 2 diabetes mellitus in China (2020 edition)(Part 1). Chinese Journal of Practical Internal Medicine. 2020;41(8):668-695.
- Guideline for the prevention and treatment of type 2 diabetes mellitus in China (2020 edition)(Part 2). Chinese Journal of Practical Internal Medicine. 2020;41(9):757-784.
- Liu J, Liu M, Chai Z, Li C, Wang Y, Shen M, Zhuang G, Zhang L. Projected rapid growth in diabetes disease burden and economic burden in China: a spatio-temporal study from 2020 to 2030. Lancet Reg Health West Pac. 2023 Feb 3;33:100700. doi: 10.1016/j.lanwpc.2023.100700. eCollection 2023 Apr.
- Zhong VW, Yu D, Zhao L, Yang Y, Li X, Li Y, Huang Y, Ding G, Wang H. Achievement of Guideline-Recommended Targets in Diabetes Care in China : A Nationwide Cross-Sectional Study. Ann Intern Med. 2023 Aug;176(8):1037-1046. doi: 10.7326/M23-0442. Epub 2023 Aug 1.
- Experts consensus on management of glycemic variability of diabetes mellitus. Chin J Endocrinol Metab. 2017;33(8):633-636.
- Su G, Mi S, Tao H, Li Z, Yang H, Zheng H, Zhou Y, Ma C. Association of glycemic variability and the presence and severity of coronary artery disease in patients with type 2 diabetes. Cardiovasc Diabetol. 2011 Feb 25;10:19. doi: 10.1186/1475-2840-10-19.
- Jin SM, Kim TH, Oh S, Baek J, Joung JY, Park SM, Cho YY, Sohn SY, Hur KY, Lee MS, Lee MK, Kim JH. Association between the extent of urinary albumin excretion and glycaemic variability indices measured by continuous glucose monitoring. Diabet Med. 2015 Feb;32(2):274-9. doi: 10.1111/dme.12607. Epub 2014 Oct 29.
- Hsu CR, Chen YT, Sheu WH. Glycemic variability and diabetes retinopathy: a missing link. J Diabetes Complications. 2015 Mar;29(2):302-6. doi: 10.1016/j.jdiacomp.2014.11.013. Epub 2014 Dec 3.
- Frost F, Kacprowski T, Ruhlemann M, Pietzner M, Bang C, Franke A, Nauck M, Volker U, Volzke H, Dorr M, Baumbach J, Sendler M, Schulz C, Mayerle J, Weiss FU, Homuth G, Lerch MM. Long-term instability of the intestinal microbiome is associated with metabolic liver disease, low microbiota diversity, diabetes mellitus and impaired exocrine pancreatic function. Gut. 2021 Mar;70(3):522-530. doi: 10.1136/gutjnl-2020-322753. Epub 2020 Nov 9.
- Yang J, Yang X, Wu G, Huang F, Shi X, Wei W, Zhang Y, Zhang H, Cheng L, Yu L, Shang J, Lv Y, Wang X, Zhai R, Li P, Cui B, Fang Y, Deng X, Tang S, Wang L, Yuan Q, Zhao L, Zhang F, Zhang C, Yuan H. Gut microbiota modulate distal symmetric polyneuropathy in patients with diabetes. Cell Metab. 2023 Sep 5;35(9):1548-1562.e7. doi: 10.1016/j.cmet.2023.06.010. Epub 2023 Jul 13.
- Lu G, Wang W, Li P, Wen Q, Cui B, Zhang F. Washed preparation of faecal microbiota changes the transplantation related safety, quantitative method and delivery. Microb Biotechnol. 2022 Sep;15(9):2439-2449. doi: 10.1111/1751-7915.14074. Epub 2022 May 16.
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
March 1, 2024
Primary Completion (Estimated)
January 1, 2029
Study Completion (Estimated)
July 1, 2029
Study Registration Dates
First Submitted
January 27, 2024
First Submitted That Met QC Criteria
February 4, 2024
First Posted (Actual)
February 13, 2024
Study Record Updates
Last Update Posted (Actual)
April 18, 2024
Last Update Submitted That Met QC Criteria
April 16, 2024
Last Verified
January 1, 2024
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- WMT-RWS-T1DM
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
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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