Diabetic Kidney DiseaseNCT05674981
To Evaluate the Beneficial Effect of Probiotics on DKD Patients and the Role of Gut Microbiota Modulation
A study testing Probiotic group in people with Diabetic Kidney Disease, run by GenMont Biotech Incorporation at 1 site in Taiwan.
Trial 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… Read more about this study
- Who is it for?
- Ages 25 to 80 years
- Conditions the study is for
- Diabetic Kidney Disease
- What is being tested?
- Probiotic group
- Could I receive a placebo?
- Yes, some participants may receive a placebo
- How many people
- 50 participants
- Where
- 1 siteTaiwan
- Study dates
- 24 Apr 2023to 8 May 2025
- Phase
- Interventional
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 25 to 80 years
- All sexes
- No healthy volunteers
- Adult, Older adult
Who may be able to join
- 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
Who cannot join
- 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)
Show all 11Show fewer
- 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
Trial locations and contacts
1 site in 1 country.
About this study
Official title: To Evaluate the Clinical Efficacy of Probiotic in Patients With DKD
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.
- Conditions
- Diabetic Kidney Disease
- Being tested
- Probiotic group, Placebo group
- Keywords
- Diabetic kidney disease, gut microbiota, Probiotic, Lactobacillus reuteri, Lactobacillus rhamnosus
- Medical subject headings
- Diabetic Nephropathies
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Probiotic groupDietary supplement
Also called Test group
Two-strain probiotic supplement includes Lactobacillus reuteri ADR-1 (alive) and Lactobacillus rhamnosus GM-020 ( alive).
Placebo groupOther
Also called Control group
Same additives to Probiotic group but replace probiotics with corn starch and Maltodextrin.
| Study group | Role | What they receive |
|---|---|---|
| Probiotic group | Experimental | Subjects received two probiotic sachets per day Receives: Dietary Supplement: Probiotic group |
| Placebo group | Placebo comparator | Subjects received two placebo sachets per day Receives: Other: Placebo group |
What is being measured
The primary outcome is the main question the study is designed to answer.
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.
Measured: 3 months
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.
Measured: 6 months
Secondary outcomes (47)
Change from baseline in BMI (Body Mass Index) at 3 months
BMI will be calculated with weight and height combined in kg/m^2.
Measured: 3 months
Change from baseline in BMI (Body Mass Index) at 6 months
BMI will be calculated with weight and height combined in kg/m^2.
Measured: 6 months
Change from baseline in Waist and hip circumference at 3 months
Waist and hip circumference will take down in centimeters.
Measured: 3 months
Change from baseline in Waist and hip circumference at 6 months
Waist and hip circumference will take down in centimeters.
Measured: 6 months
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.
Measured: 3 months
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.
Measured: 6 months
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.
Measured: 3 months
Change from baseline in levels of FPG at 6-months
Fasting blood samples will be collected to examine variation in FPG in uIU/mL.
Measured: 6 months
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.
Measured: 3 months
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.
Measured: 6 months
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 %.
Measured: 3 months
Change from baseline in levels of HbA1c at 6-months
Fasting blood samples will be collected to investigate the levels of HbA1c in %.
Measured: 6 months
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)
Measured: 3 months
Change from baseline in levels of HOMA-IR at 6-months
The equation of HOMA-IR=(insulin (mIU/L) and glucose (mg/dl))/405)
Measured: 6 months
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
Measured: 3 months
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
Measured: 6 months
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))]
Measured: 3 months
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))]
Measured: 6 months
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.
Measured: 3 months
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.
Measured: 6 months
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.
Measured: 3 months
Change from baseline in the level of CRE at 6-months
Blood samples will be collected to examine changes in CRE in mg/dL.
Measured: 6 months
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.
Measured: 3 months
Change from baseline in the level of BUN at 6-months
Blood samples will be collected to examine changes in BUN in mg/dL.
Measured: 6 months
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.
Measured: 3 months
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.
Measured: 6 months
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.
Measured: 3 months
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.
Measured: 6 months
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.
Measured: 3 months
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.
Measured: 6 months
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.
Measured: 3 months
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.
Measured: 6 months
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).
Measured: 3 months
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).
Measured: 6 months
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.
Measured: 3 months
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.
Measured: 6 months
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).
Measured: 3 months
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).
Measured: 6 months
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.
Measured: 3 months
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.
Measured: 6 months
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.
Measured: 3 months
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.
Measured: 6 months
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).
Measured: 6 months
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.
Measured: 3 months
Change from baseline in the level of TMAO at 6-months
Blood samples will be collected to examine variation in TMAO in μmol/L.
Measured: 6 months
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.
Measured: 6 months
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.
Measured: 6 months
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted9 Jan 2023
- Study start24 Apr 2023
- Primary completion24 Apr 2025
- Study completion8 May 2025
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Diabetic Kidney DiseaseStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Supportive care
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Model description
- Parallel Assignment, Randomized Controlled Trial
- Masking
- Double blind
- Who is masked
- Participant, Investigator
- Enrolment
- 50 participants (actual)
Sponsor and investigators
- Lead sponsor
- GenMont Biotech Incorporation
- Sponsor type
- Industry (pharma, biotech, devices)
- Collaborators
- Chung Shan Medical University
- Responsible party
- Sponsor
- Investigators
- Yi-Sun Yang, PhD, Principal investigator, Chung Shan Medical University
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT05674981
- Sponsor's protocol ID
- DKD2022
- Status last verified
- Dec 2025
- First submitted
- 19 Dec 2022
- Last updated
- 8 Dec 2025
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
Study at a glance
From the registry record, last updated by the sponsor on 8 Dec 2025. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- To Evaluate the Clinical Efficacy of Probiotic in Patients With DKD
- ClinicalTrials.gov ID
- NCT05674981
- Acronym / sponsor ID
- DKD2022
- Conditions
- Diabetic Kidney Disease
- Keywords
- Diabetic kidney disease, gut microbiota, Probiotic, Lactobacillus reuteri, Lactobacillus rhamnosus
- Study type
- Interventional
- Recruitment status
- Completed
- Enrolment
- 50 participants (actual)
- Lead sponsor
- GenMont Biotech IncorporationIndustry (pharma, biotech, devices)
- Collaborators
- Chung Shan Medical University
- Study start
- 24 Apr 2023 (actual)
- Primary completion
- 24 Apr 2025 (actual)
- Study completion
- 8 May 2025 (actual)
- First posted
- 9 Jan 2023 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
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.
Study design
- Primary purpose
- Supportive care
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- Double blind (participant, investigator)
- Number of arms
- 2
- Model description
- Parallel Assignment, Randomized Controlled Trial
| Arm | Type | Receives |
|---|---|---|
| Probiotic group | Experimental | Dietary Supplement: Probiotic groupSubjects received two probiotic sachets per day |
| Placebo group | Placebo comparator | Other: Placebo groupSubjects received two placebo sachets per day |
Who may qualify
- Ages
- 25 to 80 years
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (5 listed)
- 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
Key exclusion criteria (11 listed)
- 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
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Probiotic groupAlso: Test groupTwo-strain probiotic supplement includes Lactobacillus reuteri ADR-1 (alive) and Lactobacillus rhamnosus GM-020 ( alive). | Dietary supplement | Probiotic group |
| Placebo groupAlso: Control groupSame additives to Probiotic group but replace probiotics with corn starch and Maltodextrin. | Other | Placebo group |
Primary outcome
Change from baseline in Cys-C (Cystatin C) level at 3 months
Time frame: 3 months
Blood samples will be collected to examine the variation of Cys-C (Cystatin C) from baseline at 3 months.
Change from baseline in Cys-C (Cystatin C) level at 6 months
Time frame: 6 months
Blood samples will be collected to examine the variation of Cys-C from baseline at 6 months.
47 secondary outcomes
Change from baseline in BMI (Body Mass Index) at 3 months
Time frame: 3 months
Change from baseline in BMI (Body Mass Index) at 6 months
Time frame: 6 months
Change from baseline in Waist and hip circumference at 3 months
Time frame: 3 months
Change from baseline in Waist and hip circumference at 6 months
Time frame: 6 months
Change from baseline in blood pressure at 3 months
Time frame: 3 months
Change from baseline in blood pressure at 6 months
Time frame: 6 months
Change from baseline in levels of FPG (Fasting Plasma Glucose) at 3-months
Time frame: 3 months
Change from baseline in levels of FPG at 6-months
Time frame: 6 months
Change from baseline in levels of serum insulin at 3-months
Time frame: 3 months
Change from baseline in levels of serum insulin at 6-months
Time frame: 6 months
Change from baseline in levels of HbA1c (Hemoglobin A1C) at 3-months
Time frame: 3 months
Change from baseline in levels of HbA1c at 6-months
Time frame: 6 months
Change from baseline in levels of HOMA-IR (Homeostatic Model Assessment for Insulin Resistance) at 3-months
Time frame: 3 months
Change from baseline in levels of HOMA-IR at 6-months
Time frame: 6 months
Change from baseline in levels of HOMA-β (Homeostatic Model Assessment for β-cell function) at 3-months
Time frame: 3 months
Change from baseline in levels of HOMA-β (Homeostatic Model Assessment for β-cell function) at 6-months
Time frame: 6 months
Change from baseline in levels of QUICKI (Quantitative Insulin Sensitivity Check Index) at 3-months
Time frame: 3 months
Change from baseline in levels of QUICKI (Quantitative Insulin Sensitivity Check Index) at 6-months
Time frame: 6 months
Change from baseline in the level of GA (Glycated albumin) at 3-months
Time frame: 3 months
Change from baseline in the level of GA (Glycated albumin) at 6-months
Time frame: 6 months
Change from baseline in the level of CRE (Creatinine) at 3-months
Time frame: 3 months
Change from baseline in the level of CRE at 6-months
Time frame: 6 months
Change from baseline in the level of BUN (Blood Urea Nitrogen) at 3-months
Time frame: 3 months
Change from baseline in the level of BUN at 6-months
Time frame: 6 months
Change from baseline in the level of K+ (Potassium) at 3-months
Time frame: 3 months
Change from baseline in the level of K+ at 6-months
Time frame: 6 months
Change from baseline in the level of Urine protein/albumin at 3-months
Time frame: 3 months
Change from baseline in the level of Urine protein/albumin at 6-months
Time frame: 6 months
Change from baseline in the level of Urine microalbuminuria/creatinine at 3-months
Time frame: 3 months
Change from baseline in the level of Urine microalbuminuria/creatinine at 6-months
Time frame: 6 months
Change from baseline in the level of Urine acid at 3-months
Time frame: 3 months
Change from baseline in the level of Urine acid at 6-months
Time frame: 6 months
Change from baseline in the level of CG (The Cockcroft and Gault formula) at 3-months
Time frame: 3 months
Change from baseline in the level of CG at 6-months
Time frame: 6 months
Change from baseline in the level of eGFR (Estimated Glomerular Filtration Rate) at 3-months
Time frame: 3 months
Change from baseline in the level of eGFR (Estimated Glomerular Filtration Rate) at 6-months
Time frame: 6 months
Change from baseline in levels of blood lipid-related Index at 3 months
Time frame: 3 months
Change from baseline in levels of blood lipid-related Index at 6 months
Time frame: 6 months
Change from baseline in levels of cytokines Index at 3 months
Time frame: 3 months
Change from baseline in levels of cytokines Index at 6 months
Time frame: 6 months
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 8 Dec 2025.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Yi-Sun Yang, PhD principal investigator
Chung Shan Medical University
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Probiotic group in people with Diabetic Kidney Disease, run by GenMont Biotech Incorporation at 1 site in Taiwan.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 5 inclusion and 11 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 8 Dec 2025. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Taiwan. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. Some participants in this study may receive a placebo. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Change from baseline in Cys-C (Cystatin C) level at 3 months (time frame: 3 months). The study lists 2 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 8 Dec 2025.