Washed Microbiota Transplantation for Type 1 Diabetes Mellitus
1 other identifier
observational
50
1 country
1
Brief Summary
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).
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for all trials
Started Mar 2024
Longer than P75 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
January 27, 2024
CompletedFirst Posted
Study publicly available on registry
February 13, 2024
CompletedStudy Start
First participant enrolled
March 1, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
January 1, 2029
ExpectedStudy Completion
Last participant's last visit for all outcomes
July 1, 2029
September 10, 2025
September 1, 2025
4.8 years
January 27, 2024
September 3, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
The mean daily insulin dosage of participants
The mean daily insulin dosage of participants in past week
One-week, Two-week, Four-week post-WMT
Secondary Outcomes (11)
The Blood glucose of Time in Range (TIR, percent) of type 1 diabetes mellitus.
One-week, Two-week, Four-week post-WMT
The SD of blood glucose (SDBG, mmol/L) of type 1 diabetes mellitus.
One-week, Two-week, Four-week post-WMT
The largest amplitude of glycemic excursions (LAGE, mmol/L) of type 1 diabetes mellitus.
One-week, Two-week, Four-week post-WMT
The mean amplitude of glycemic excursion (MAGE, mmol/L) of type 1 diabetes mellitus.
One-week, Two-week, Four-week post-WMT
The mean of daily differences (MODD, mmol/L) of type 1 diabetes mellitus.
One-week, Two-week, Four-week post-WMT
- +6 more secondary outcomes
Interventions
Washed microbiota transplantation refers to the infusion of washed microbiota from healthy donor into patients' gastrointestinal tract. Participants will receive three doses of WMT for T1DM.
Eligibility Criteria
National patients with T1DM receiving WMT will be enrolled.
You may qualify if:
- 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.
You may not qualify if:
- 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.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Medical Center for Digestive Diseases, The Second Affiliated Hospital of Nanjing Medical University
Nanjing, Jiangsu, 210011, China
Related Publications (18)
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.
PMID: 34962526BACKGROUNDLi 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.
PMID: 32345662BACKGROUNDGuideline 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.
BACKGROUNDGuideline 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.
BACKGROUNDLiu 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.
PMID: 36817869BACKGROUNDZhong 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.
PMID: 37523704BACKGROUNDExperts consensus on management of glycemic variability of diabetes mellitus. Chin J Endocrinol Metab. 2017;33(8):633-636.
BACKGROUNDCoutinho 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.
PMID: 10333939BACKGROUNDSu 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.
PMID: 21349201BACKGROUNDSu 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.
PMID: 23349547BACKGROUNDJin 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.
PMID: 25307609BACKGROUNDHsu 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.
PMID: 25534877BACKGROUNDSurawicz 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.
PMID: 23439232BACKGROUNDSampson 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.
PMID: 27912057BACKGROUNDFrost 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.
PMID: 33168600BACKGROUNDYang 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.
PMID: 37451270BACKGROUNDZhang 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.
PMID: 31919742BACKGROUNDLu 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.
PMID: 35576458BACKGROUND
Related Links
Biospecimen
fecal, urine, and blood samples before and after intervention
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Faming Zhang, PhD
The Second Hospital of Nanjing Medical University
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Professor, Gastroenterology
Study Record Dates
First Submitted
January 27, 2024
First Posted
February 13, 2024
Study Start
March 1, 2024
Primary Completion (Estimated)
January 1, 2029
Study Completion (Estimated)
July 1, 2029
Last Updated
September 10, 2025
Record last verified: 2025-09
Data Sharing
- IPD Sharing
- Will not share