Chronic Kidney Disease, Diabetic Nephropathy Type 2, Type 2 Diabetes Mellitus (T2DM)
Conditions
Keywords
Diabetic Nephropathy Type 2, Type 2 diabetes mellitus, chronic kidney disease, intestinal microbiota, metabolomics
Brief summary
Diabetic kidney disease (DKD) is characterized by high prevalence, multiple pathogenesis, and lack of effective treatment and management strategies. Early detection helps overcome treatment inertia, enables timely medical intervention, maximizes renal function in diabetic patients, and is essential to avoid renal failure and improve clinical outcomes. The gold standard for diagnosis of DKD is renal biopsy, which has the highest accuracy. However, due to the trauma of renal biopsy, the patient acceptance is low, the application scenario is not universal, and it is only used when it is difficult to distinguish diabetic nephropathy from non-diabetic nephropathy, and it is not the preferred diagnostic method for DKD. In the past decade, with the emergence and application of metabonomics, proteomics, genomics and other multi-omics techniques, more and more studies have recognized the prominent role of intestinal flora disorders and gut-derived metabolites in the occurrence of DKD. Therefore, from the perspective of intestinal flora, using multi-omics techniques to identify enterogenic metabolic markers of DKD and restore intestinal flora balance may be potential strategies for prevention and management of DKD. Modern medicine believes that intestinal flora is not only closely related to diet and digestion, participating in the synthesis, absorption and metabolism of nutrients, but also constituting intestinal barrier and participating in immune defense of the body. Its function is similar to the physiological function of "The spleen governs transportation and transformation". Based on the traditional Chinese medicine（TCM） pathogenesis of DKD "Spleen Failure to Disperse Essence and Poison Damage Kidney Collateral" proposed by the previous research group, this study intends to use microbiology-metabolomics to deeply study the TCM pathogenesis of DKD, provide scientific basis for it, and guide the theory of traditional Chinese medicine widely used in clinical work of prevention and treatment of diabetic nephropathy.
Detailed description
This study is a single-center, parallel trial design. It is prepared to recruit subjects with type 2 diabetes kidney disease (DKD), Type 2 diabetes mellitus(T2DM), chronic kidney disease (CKD), and healthy individuals based on clinical diagnostic criteria and screening criteria. While observing main indicators such as blood glucose, glycosylated hemoglobin, and renal function, blood, urine, feces, and tongue coating samples are collected and frozen. The 16S rDNA technology, metagenomics technology, targeted and non-targeted metabolomics technology are used to detect the results and analyze the differences. Subsequently, based on the detection results, 4-6 remaining fecal samples from each group will be selected as human-intestinal flora donors for "human-germ-free mouse" faecal microbiota transplantation.
Interventions
None listed
Sponsors
The First Affiliated Hospital of Hunan University of Traditional Chinese Medicine
National Natural Science Foundation of China
Study design
Observational model
CASE_CONTROL
Time perspective
CROSS_SECTIONAL
Eligibility
Sex/Gender
ALL
Age
18 Years to 75 Years
Healthy volunteers
Yes
Inclusion criteria
Patient inclusion criteria： 1. Age ≥18 years old and ≤75 years old, gender is not limited. 2. Complete demographic data. 3. Meet the diagnostic criteria of the Chinese Guidelines for the Prevention and Treatment of Diabetic Kidney Disease (2021 edition), the Chinese Guidelines for the Prevention and Treatment of Type 2 Diabetes Mellitus (2020 edition), and the Guidelines for the Screening, Diagnosis, Prevention and Treatment of Chronic Kidney Disease (2017 edition). 4. The patient is informed of the study as approved by the ethics committee. Healthy population inclusion criteria: (1) The patient has no known history of infection or risk factors including HIV hepatitis B or C virus syphilis etc. and no current systemic infection; (2) No obesity (body mass index \>30) and/or diabetes no history of chronic kidney disease; (3) Approved by the ethics committee patients were informed about the study.
Exclusion criteria
： 1. A history of infection or other acute disease within one month prior to enrollment. 2. Current state of stress. 3. Other unstable chronic diseases; 4. A history of acute and chronic gastrointestinal diseases, including acute gastroenteritis, functional gastrointestinal diseases, inflammatory bowel disease, celiac disease, and other chronic gastrointestinal diseases. 5. Individuals who have received systemic antibiotics, immunosuppressants, chemotherapy, or chronic treatment with proton pump inhibitors within the past three months will be excluded from participation. 6. Pregnant or lactating women will also be excluded. 7. Individuals who have participated in other drug clinical trials within the past three months will be excluded. 8. Individuals who suffer from mental illness, intellectual disability, confusion, or other conditions that may interfere with their ability to cooperate with the completion of relevant information collection will also be excluded. Those who were unable to cooperate with the collection of pertinent data were likewise excluded from the study.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| UACR | Complete once at enrollment | Urine Albumin-to-Creatinine Ratio |
| eGFR | Complete once at enrollment | Estimated Glomerular Filtration Rate |
| BUN | Complete once at enrollment | blood urea nitrogen |
| Scr | Complete once at enrollment | serum creatinine |
| FBG | Complete once at enrollment | fasting blood glucose |
| HbA1c | Complete once at enrollment | Glycosylated Hemoglobin, Type A1C |
| GSP | Complete once at enrollment | glucosylated serum protein |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| 16S rDNA | Complete once at enrollment | 16S ribosomal DNA identification |
| Targeted Metabolomics | Complete once at enrollment | Targeted Metabolomics technology detection |
| Non-targeted metabolomics | Complete once at enrollment | Non-targeted metabolomics technology detection |
| mNGS | Complete once at enrollment | metagenomic Next Generation Sequencing |
Countries
China
Contacts
PRINCIPAL_INVESTIGATORJuan Huang, Doctor
The First Affiliated Hospital of Hunan University of Traditional Chinese Medicine
STUDY_DIRECTORRong Yu, Doctor
The First Affiliated Hospital of Hunan University of Traditional Chinese Medicine
Outcome results
None listed