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RecruitingNCT06256614Updated Oct 26, 2026

Washed Microbiota Transplantation for Type 1 Diabetes Mellitus

An observational study in Type 1 Diabetes, sponsored by The Second Hospital of Nanjing Medical University. Recruiting at 1 site in China. Open to participants aged 3 Years to 100 Years. Per ClinicalTrials.gov, last updated 2026-10-26.

Sponsored by The Second Hospital of Nanjing Medical University · Observational

From the registry’s dates

  • Started Mar 2024; still recruiting 2 years 8 months later.
Study type
Observational
Model
Cohort
Time perspective
Prospective
Enrollment
50
Ages
3 Years to 100 Years
Sex
All
01

Study 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).

Read the 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.

02

Conditions studied

  • Type 1 Diabetes

Keywords

  • washed microbiota transplantation
  • type 1 diabetes mellitus
  • glycemic variability
  • daily insulin dosage
  • hypoglycemia
  • insulin sensitivity
03

In context

Diabetes Mellitus, Type 1

3,754 studies on the registry are indexed under Diabetes Mellitus, Type 1; 600 are open to participants now.

This study's planned enrollment of 50 is below the median of 125 across 792 observational studies indexed under Diabetes Mellitus, Type 1.

Browse Diabetes Mellitus, Type 1 studies →

Lead sponsor

The Second Hospital of Nanjing Medical University is the lead sponsor of 70 studies on the registry; 36 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
3 Years to 100 Years
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Non-probability sample

Study population

National patients with T1DM receiving WMT will be enrolled.

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

Subjects must meet all of the following inclusion criteria to enter the study:

  1. At the time of , male or non-pregnant or non-lactating female.
  2. The diagnostic criteria for T1DM are confirmed by previous medical record.
  3. 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

Exclusion Criteria:

Subjects meeting any of the following exclusion criteria must be excluded from the study:

  1. Diagnosed as any type of diabetes other than type 1 diabetes mellitus;
  2. Subjects with severe life-threatening complications diabetes (such as ketoacidosis, or acute coronary syndrome, etc.);
  3. At the time of screening, the subject or his/her legal representative refuses to take effective within 3 months after the last treatment.
  4. 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.
Terms in these criteria, in plain language(2)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

Informed consent

Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.

You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.

Contraception

Ways of preventing pregnancy. “Highly effective” methods fail less than 1% of the time a year when used correctly — for example an IUD or an implant.

Criteria usually say which methods count and how long to keep using them after the last dose, sometimes for male participants too. Some studies accept a partner’s vasectomy if it was confirmed successful and that person is the participant’s only sexual partner.

05

Study design

Observational model
Cohort
Time perspective
Prospective
Enrollment
50 participants (estimated)
Patient registry
No
Biospecimen retention
Samples without dna

Interventions

  • OtherWMT

    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.

06

What researchers measure

Primary outcomes

  1. The mean daily insulin dosage of participants

    The mean daily insulin dosage of participants in past week

    Time frame: One-week, Two-week, Four-week post-WMT

Secondary outcomes

  1. The Blood glucose of Time in Range (TIR, percent) of type 1 diabetes mellitus.

    The proportion of time spent within the target blood sugar range (typically 3.9 to 10.0mmol/L) over a 24-hour period

    Time frame: One-week, Two-week, Four-week post-WMT

  2. The SD of blood glucose (SDBG, mmol/L) of type 1 diabetes mellitus.

    The standard deviation of measured values during immediate blood glucose monitoring

    Time frame: One-week, Two-week, Four-week post-WMT

  3. The largest amplitude of glycemic excursions (LAGE, mmol/L) of type 1 diabetes mellitus.

    The range of blood glucose values observed during immediate blood glucose monitoring

    Time frame: One-week, Two-week, Four-week post-WMT

  4. The mean amplitude of glycemic excursion (MAGE, mmol/L) of type 1 diabetes mellitus.

    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

    Time frame: One-week, Two-week, Four-week post-WMT

  5. The mean of daily differences (MODD, mmol/L) of type 1 diabetes mellitus.

    The average absolute difference between corresponding measured values over a continuous 48-hour period

    Time frame: One-week, Two-week, Four-week post-WMT

  6. The postprandial glucose excursions (PPGE, mmol/L) of type 1 diabetes mellitus.

    The average absolute difference between post-meal blood glucose taken 2 hours after three meals and the corresponding pre-meal blood glucose.

    Time frame: One-week, Two-week, Four-week post-WMT

  7. The mean blood glucose (MBG, mmol/L) of type 1 diabetes mellitus.

    Average values obtained from immediate blood glucose monitoring

    Time frame: One-week, Two-week, Four-week post-WMT

  8. The coefficient of variation (CV, percent) of type 1 diabetes mellitus.

    CV=(SDBG÷MBG)×100%

    Time frame: One-week, Two-week, Four-week post-WMT

  9. The frequency of hypoglycemia or duration of hypoglycemic state in the last 1 week

    Hypoglycemia is defined as blood glucose \< 3.9 mmol/L

    Time frame: One-week, Two-week, Four-week post-WMT

  10. The islet β-cell function after WMT compared with baseline

    2-hour postprandial C-peptide release was used to reflect islet β-cell function

    Time frame: Three-day, One-week, Two-week, Four-week post-WMT

  11. The incidence of treatment-related adverse events (AE) assessed by CTCAE, Version 5.0

    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.)

    Time frame: One-week, Two-week, Four-week post-WMT

07

Study locations

1 of 1 sites recruiting
  • Medical Center for Digestive Diseases, The Second Affiliated Hospital of Nanjing Medical University
    Nanjing, Jiangsu 210011, China
    Recruiting
08

References and documents

Publications

  • 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. PubMed 34962526 ↗
  • 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. PubMed 32345662 ↗
  • 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. PubMed 36817869 ↗
  • 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. PubMed 37523704 ↗
  • Experts consensus on management of glycemic variability of diabetes mellitus. Chin J Endocrinol Metab. 2017;33(8):633-636.
  • 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. PubMed 10333939 ↗
  • 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. PubMed 21349201 ↗
  • 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. PubMed 23349547 ↗
  • 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. PubMed 25307609 ↗
  • 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. PubMed 25534877 ↗
  • 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. PubMed 23439232 ↗
  • 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. PubMed 27912057 ↗
  • 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. PubMed 33168600 ↗
  • 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. PubMed 37451270 ↗
  • 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. PubMed 31919742 ↗
  • 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. PubMed 35576458 ↗

Individual participant data

Plan to share: No

09

Timeline

1 registry update since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reachedSimilar studies: half by the dot; the band is the middle halfHalf of similar studies reached it by the dot; the band is the middle half, from a quarter to three quarters

Started Mar 2024 (actual). Primary completion is estimated for Jan 2029, 58 months after the start.

Of 249 non-industry observational studies under Diabetes Mellitus, Type 1, half reached primary completion within 30 months of starting (the median), counting those still running; a quarter within 12 and three quarters within 78. This study's planned 58 months is above that.

Counting every sponsor, half of 299 studies reached it within 30 months; a quarter within 12 and three quarters within 69.

How these figures are worked out, and which studies are left out of them.

Registered
Jan 27, 2024
First posted
Feb 13, 2024
StartActual
Mar 1, 2024
Primary completionEst.
Jan 2029
CompletionEst.
Jul 2029
Last update
Oct 26, 2026
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
Minor edits
Nothing that changes what the study is or who can join. Edited: verification date
1 update, last Oct 26, 2026
Show all 1 update
  1. Oct 26, 2026
    Minor edits only
    + 1 other change: verification date

From the registry record's own update history. This site started tracking changes on Sep 25, 2026; for anything earlier, see the record history on ClinicalTrials.gov ↗

10

Registry details

Key details

Study ID
NCT06256614
Lead sponsor
The Second Hospital of Nanjing Medical University
Responsible party
Faming Zhang (Professor, Gastroenterology, The Second Hospital of Nanjing Medical University) — Principal investigator
First posted
Feb 13, 2024
Start date
Mar 1, 2024
Primary completion
Jan 2029 (estimated)
Completion
Jul 2029 (estimated)
Last update
Oct 26, 2026

Study contacts

Faming Zhang, PhD
Contact
fzhang@njmu.edu.cn
086-025-58509883
Bota Cui
Contact
cuibota@njmu.edu.cn
086-025-58509884
Faming Zhang, PhD
principal investigator · The Second Hospital of Nanjing Medical University

Oversight

Data monitoring committee
Yes
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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