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CompletedNCT05674981Updated Dec 8, 2025

To Evaluate the Beneficial Effect of Probiotics on DKD Patients and the Role of Gut Microbiota Modulation

An interventional study of Probiotic group and Placebo group in Diabetic Kidney Disease, sponsored by GenMont Biotech Incorporation. Completed at 1 site in Taiwan. Open to participants aged 25 Years to 80 Years. Per ClinicalTrials.gov, last updated 2025-12-08.

Sponsored by GenMont Biotech Incorporation · Not applicable, Interventional, and Supportive care

Phase
Not applicable
Study type
Interventional
Enrollment
50
Allocation
Randomized
Ages
25 Years to 80 Years
Sex
All
01

Study summary

To evaluate the efficacy of probiotics in the treatment of diabetic kidney disease, this study is designed to explore after consumption of probiotics lactobacillus reuteri ADR-1 and lactobacillus rhamnosus GM-020 composite strain powder sachets for 6 months, whether the improvement of blood sugar, kidney related indicators can further improve the course of diabetic kidney disease. The clinical trial predicted that probiotics can improve diabetic kidney disease by changing the intestinal flora by inhibiting harmful bacteria, reduction of systemic oxidative stress, balance carbohydrate and fat metabolism, further preventing the progress of diabetic kidney disease.

Read the detailed description

WHO predicts that diabetes will become the seventh leading cause of death in 2030. This disease usually causes complications including hypertension, diabetic kidney disease, neuropathy, skin infection, and a high risk of blindness and so on. It demonstrated that probiotics have beneficial effects on several disorders; these beneficial effects include a reduction in allergic symptoms, a decrease in serum cholesterol levels, the prevention of obesity, and an improvement of the digestive system. In recent years, many studies have pointed out that Lactobacillus affects the progression of diabetes kidney disease by controlling blood sugar. From 2017 to 2020, 8 clinical trials conducted related research to explore the clinical benefits of probiotics on diabetic kidney disease. It was found that the indicators related to kidney function have ameliorated significantly, including improving glomerular function, blood sugar control, insulin metabolism, inflammatory substances in serum, and even oxidative stress factors, etc.

In a previous study, Lactobacillus strain ADR-1 was selected to verify the efficacy by utilizing HFD (High-fructose-fed) rats model, the result shows reductions in serum HbA1c and liver injury after oral gavage for 14 weeks. Afterward, a double-blind, randomized, placebo-group human clinical trial was conducted, recruiting 68 subjects with type 2 diabetes to evaluate the intestinal flora and blood sugar-related indicators, among which the metabolic indicators had significant changes. After taking it for 3 and 6 months, HbA1c and cholesterol were significantly reduced compared to the Placebo group, it was also found that the L.reuteri flora had a significant increase in the intestinal flora while the same pattern was found in the Bifidobacterium flora accordingly. This result represents the development of a positive correlation between Lactobacillus and Bifidobacterium for the intestinal flora. Furthermore, GM-020 has been proved by mouse model experiments to slow down kidney diseases, including the improvement of related indicators of renal function, serum urea nitrogen (BUN), and creatinine (Creatinine), and it shows dose-dependent variation. The combination of these two strains of probiotics is predicted to improve the metabolical index of diabetic kidney disease.

This clinical trial will explore the health-promoting effect of probiotics on patients with diabetic kidney disease, and fully explore how probiotics can improve the good bacteria and reduce the bad bacteria by changing the intestinal flora to achieve anti-inflammatory effects, Chronic inflammation, reduce systemic oxidative stress, balances carbohydrate and fat metabolism, and prevents the progression of diabetic kidney disease.

02

Conditions studied

  • Diabetic Kidney Disease

Keywords

  • Diabetic kidney disease
  • gut microbiota
  • Probiotic
  • Lactobacillus reuteri
  • Lactobacillus rhamnosus
03

Who can participate

Ages eligible
25 Years to 80 Years
Sexes eligible
All
Accepts healthy volunteers
No

Inclusion criteria

  • Age between 25 and 80 years old
  • Suffering from type 2 diabetes and stable medication for 3 months
  • Detection of HbA1c before meals between 7% and 10%
  • Stage 1-3a diabetic nephropathies (eGFR > 45 mL/min)
  • Microalbuminuria estimated between 30 to 300 mg/day

Exclusion criteria

Exclusion Criteria:

  • Patients with Type I Diabetes Mellitus
  • Patients with inflammatory bowel disease, liver disease, liver cirrhosis, systemic lupus erythematosus, malignancy, and high blood pressure.
  • Patients with hypoglycemic coma, Diabetic ketoacidosis, hyperosmolar non-ketotic diabetic coma, or diabetes mellitus acute complications.
  • Acute infection medical history in past 3 month
  • Fasting blood glucose >13.3 mmol/L
  • GPT>100U/L (2.5 times than usual situation)
  • Vulnerable population (Including breeding or pregnant women, prisoner, aboriginal, disabled population)
  • Smoker or Alcoholic
  • Taking Antibiotics in past 1 month
  • Stably taking probiotics supplements in past 1 months (Yogurt or dairy products were excluded)
  • Taking immunosuppressive drug, angiotensin-converting enzyme inhibitors, or angiotensin receptor blockers in past 3 months
04

Study design

Phase
Not applicable
Primary purpose
Supportive care
Allocation
Randomized
Intervention model
Parallel assignment
Masking
Double (Participant, Investigator)
Enrollment
50 participants (actual)

Study arms

  • Experimental
    Probiotic group

    Subjects received two probiotic sachets per day

    Dietary Supplement: Probiotic group

  • Placebo comparator
    Placebo group

    Subjects received two placebo sachets per day

    Other: Placebo group

Interventions

  • Dietary supplementProbiotic group

    Two-strain probiotic supplement includes Lactobacillus reuteri ADR-1 (alive) and Lactobacillus rhamnosus GM-020 ( alive).

    Also known as: Test group

  • OtherPlacebo group

    Same additives to Probiotic group but replace probiotics with corn starch and Maltodextrin.

    Also known as: Control group

05

What researchers measure

Primary outcomes

  1. Change from baseline in Cys-C (Cystatin C) level at 3 months

    Blood samples will be collected to examine the variation of Cys-C (Cystatin C) from baseline at 3 months.

    Time frame: 3 months

  2. Change from baseline in Cys-C (Cystatin C) level at 6 months

    Blood samples will be collected to examine the variation of Cys-C from baseline at 6 months.

    Time frame: 6 months

Secondary outcomes

  1. Change from baseline in BMI (Body Mass Index) at 3 months

    BMI will be calculated with weight and height combined in kg/m\^2.

    Time frame: 3 months

  2. Change from baseline in BMI (Body Mass Index) at 6 months

    BMI will be calculated with weight and height combined in kg/m\^2.

    Time frame: 6 months

  3. Change from baseline in Waist and hip circumference at 3 months

    Waist and hip circumference will take down in centimeters.

    Time frame: 3 months

  4. Change from baseline in Waist and hip circumference at 6 months

    Waist and hip circumference will take down in centimeters.

    Time frame: 6 months

  5. Change from baseline in blood pressure at 3 months

    The unit of measurement of blood pressure is mmHg. Both systolic and diastolic blood pressure will be measured.

    Time frame: 3 months

  6. Change from baseline in blood pressure at 6 months

    The unit of measurement of blood pressure is mmHg. Both systolic and diastolic blood pressure will be measured.

    Time frame: 6 months

  7. Change from baseline in levels of FPG (Fasting Plasma Glucose) at 3-months

    Fasting blood samples will be collected to examine variation in FPG in uIU/mL.

    Time frame: 3 months

  8. Change from baseline in levels of FPG at 6-months

    Fasting blood samples will be collected to examine variation in FPG in uIU/mL.

    Time frame: 6 months

  9. Change from baseline in levels of serum insulin at 3-months

    Fasting blood samples will be collected to examine variation in serum insulin in uIU/mL.

    Time frame: 3 months

  10. Change from baseline in levels of serum insulin at 6-months

    Fasting blood samples will be collected to examine variation in serum insulin in uIU/mL.

    Time frame: 6 months

  11. Change from baseline in levels of HbA1c (Hemoglobin A1C) at 3-months

    Fasting blood samples will be collected to investigate the levels of HbA1c in %.

    Time frame: 3 months

  12. Change from baseline in levels of HbA1c at 6-months

    Fasting blood samples will be collected to investigate the levels of HbA1c in %.

    Time frame: 6 months

  13. Change from baseline in levels of HOMA-IR (Homeostatic Model Assessment for Insulin Resistance) at 3-months

    The equation of HOMA-IR=(insulin (mIU/L) and glucose (mg/dL))/405)

    Time frame: 3 months

  14. Change from baseline in levels of HOMA-IR at 6-months

    The equation of HOMA-IR=(insulin (mIU/L) and glucose (mg/dl))/405)

    Time frame: 6 months

  15. Change from baseline in levels of HOMA-β (Homeostatic Model Assessment for β-cell function) at 3-months

    The equation of HOMA-β=20 × fasting insulin (μIU/ml)/fasting glucose (mmol/ml) - 3.5

    Time frame: 3 months

  16. Change from baseline in levels of HOMA-β (Homeostatic Model Assessment for β-cell function) at 6-months

    The equation of HOMA-β=20 × fasting insulin (μIU/ml)/fasting glucose (mmol/ml) - 3.5

    Time frame: 6 months

  17. Change from baseline in levels of QUICKI (Quantitative Insulin Sensitivity Check Index) at 3-months

    The equation of QUICKI=1 / \[log(Fasting Insulin (µU/ml) + log(Fasting Glucose (mg/dL))\]

    Time frame: 3 months

  18. Change from baseline in levels of QUICKI (Quantitative Insulin Sensitivity Check Index) at 6-months

    The equation of QUICKI=1 / \[log(Fasting Insulin (µU/ml) + log(Fasting Glucose (mg/dL))\]

    Time frame: 6 months

  19. Change from baseline in the level of GA (Glycated albumin) at 3-months

    Blood samples will be collected to examine changes in GA in mg/dL.

    Time frame: 3 months

  20. Change from baseline in the level of GA (Glycated albumin) at 6-months

    Blood samples will be collected to examine changes in GA in mg/dL.

    Time frame: 6 months

  21. Change from baseline in the level of CRE (Creatinine) at 3-months

    Blood samples will be collected to examine changes in CRE in mg/dL.

    Time frame: 3 months

  22. Change from baseline in the level of CRE at 6-months

    Blood samples will be collected to examine changes in CRE in mg/dL.

    Time frame: 6 months

  23. Change from baseline in the level of BUN (Blood Urea Nitrogen) at 3-months

    Blood samples will be collected to examine changes in BUN in mg/dL.

    Time frame: 3 months

  24. Change from baseline in the level of BUN at 6-months

    Blood samples will be collected to examine changes in BUN in mg/dL.

    Time frame: 6 months

  25. Change from baseline in the level of K+ (Potassium) at 3-months

    Blood samples will be collected to examine changes from baseline in K+ in mg/dL.

    Time frame: 3 months

  26. Change from baseline in the level of K+ at 6-months

    Blood samples will be collected to examine changes from baseline in K+ in mg/dL.

    Time frame: 6 months

  27. Change from baseline in the level of Urine protein/albumin at 3-months

    Urine samples will be collected to examine changes in Urine protein/albumin in mg/dL.

    Time frame: 3 months

  28. Change from baseline in the level of Urine protein/albumin at 6-months

    Urine samples will be collected to examine changes in Urine protein/albumin in mg/dL.

    Time frame: 6 months

  29. Change from baseline in the level of Urine microalbuminuria/creatinine at 3-months

    Urine samples will be collected to examine changes from baseline in Urine protein/albumin in mg/dL.

    Time frame: 3 months

  30. Change from baseline in the level of Urine microalbuminuria/creatinine at 6-months

    Urine samples will be collected to examine changes from baseline in Urine protein/albumin in mg/dL.

    Time frame: 6 months

  31. Change from baseline in the level of Urine acid at 3-months

    Urine samples will be collected to examine changes in Urine protein/albumin in mg/dL.

    Time frame: 3 months

  32. Change from baseline in the level of Urine acid at 6-months

    Urine samples will be collected to examine changes in Urine protein/albumin in mg/dL.

    Time frame: 6 months

  33. Change from baseline in the level of CG (The Cockcroft and Gault formula) at 3-months

    CG will be calculated with creatinine, age, weight, gender. The equation of CG = (((140 - age in years) x (weight in kg)) x 1.23) / (serum creatinine in micromol/l).

    Time frame: 3 months

  34. Change from baseline in the level of CG at 6-months

    CG will be calculated with creatinine, age, weight, gender. The equation of CG = (((140 - age in years) x (weight in kg)) x 1.23) / (serum creatinine in micromol/l).

    Time frame: 6 months

  35. Change from baseline in the level of eGFR (Estimated Glomerular Filtration Rate) at 3-months

    eGFR will be estimated according to the CKD-EPI Creatinine Equation (2021) which is calculated with serum creatinine, Cystatin C, age, gender.

    Time frame: 3 months

  36. Change from baseline in the level of eGFR (Estimated Glomerular Filtration Rate) at 6-months

    eGFR will be estimated according to the CKD-EPI Creatinine Equation (2021) which is calculated with serum creatinine, Cystatin C, age, gender.

    Time frame: 6 months

  37. Change from baseline in levels of blood lipid-related Index at 3 months

    Blood samples will be collected to examine variation in TG (Triglyceride), TC (Total Cholesterol), VLDL (Very-Low-Density Lipoprotein), LDL (Low-density lipoprotein), HDL (High-density lipoprotein).

    Time frame: 3 months

  38. Change from baseline in levels of blood lipid-related Index at 6 months

    Blood samples will be collected to examine variation in TG (Triglyceride), TC (Total Cholesterol), VLDL (Very-Low-Density Lipoprotein), LDL (Low-density lipoprotein), HDL (High-density lipoprotein).

    Time frame: 6 months

  39. Change from baseline in levels of cytokines Index at 3 months

    Blood samples will be collected to examine variation in hs-CRP (high-sensitivity C-reactive protein), IL-6 (Interleukin-6), IL-18 (Interleukin-18), IL -1-α (Interleukin-1-α), IL-1β (Interleukin-1 β), TNF-α (Tumor necrosis factor-α), NGAL (Neutrophil Gelatinase-Associated Lipocalin), sTNFR1 (Soluble tumour necrosis factor receptor-1), PGRN (Progranulin). All the indexes will be recorded in in pg/mL.

    Time frame: 3 months

  40. Change from baseline in levels of cytokines Index at 6 months

    Blood samples will be collected to examine variation in hs-CRP, IL-6, IL-18, IL-1-α, IL-1β, TNF-α, NGAL, sTNFR1, PGRN. All the indexes will be recorded in in pg/mL.

    Time frame: 6 months

  41. Change from baseline in levels of TIBC (Total Iron-Binding Capacity) at 3-months

    TIBC will be calculated by summing the values of serum iron and UIBC(unsaturated iron-binding capacity) which is examed from blood samples.

    Time frame: 3 months

  42. Change from baseline in levels of TIBC at 6-months

    TIBC will be calculated by summing the values of serum iron and UIBC which is examed from blood samples.

    Time frame: 6 months

  43. Change from baseline in the level of SCFA (Short Chain Fatty Acids) at 6 months

    Stool samples will be collected to examine variation in SCFA (Short Chain Fatty Acids).

    Time frame: 6 months

  44. Change from baseline in the level of TMAO (Trimethylamine N-oxide) at 3-months

    Blood samples will be collected to examine variation in TMAO in μmol/L.

    Time frame: 3 months

  45. Change from baseline in the level of TMAO at 6-months

    Blood samples will be collected to examine variation in TMAO in μmol/L.

    Time frame: 6 months

  46. Change from baseline in self-record of the International physical activity questionary (IPAQ) in physical assessment at 6 months

    The questionnaire will be recorded the laborious activity by the subject himself/herself before and after the treatment.

    Time frame: 6 months

  47. Change from baseline in gut microbiota at 6 months

    The analysis of Gut microbiota will utilize DNA sequencing to investigate the intestinal microbiota through stool samples.

    Time frame: 6 months

06

Study locations

1 site
  • Chung Shan Medical University Hospital
    Taichung, Taiwan 402, Taiwan
07

Registry details

Key details

Study ID
NCT05674981
Lead sponsor
GenMont Biotech Incorporation
Collaborators
Chung Shan Medical University
Responsible party
Sponsor
First posted
Jan 9, 2023
Start date
Apr 24, 2023
Primary completion
Apr 24, 2025
Completion
May 8, 2025
Last update
Dec 8, 2025

Study contacts

Yi-Sun Yang, PhD
principal investigator · Chung Shan Medical University

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
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