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Multi-omics Analysis of Chronic Kidney Disease

Multi-omics Analysis of Chronic Kidney Disease

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT05543291
Enrollment
150
Registered
2022-09-16
Start date
2022-01-01
Completion date
2024-12-31
Last updated
2022-09-16

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Potential Mechanisms Underlying the Microbiota-Gut-Kidney Axis in CKD

Brief summary

Chronic kidney disease (CKD) is a progressive disease with hidden epidemics and one of the most significant contributing factors to end-stage renal disease (ESRD), cardiovascular comorbidities, cachexia and anemia, which accounts for a nearly 1.2 million populations died per year.

Interventions

BEHAVIORALrenal function

levels of eGFR

Sponsors

Shanghai 10th People's Hospital
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
CROSS_SECTIONAL

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

Age-matched and gender-matched HC with normal renal and liver function and not taking any medications were enrolled

Exclusion criteria

1. Age\<18 years. 2. Individuals with hypertension, diabetes, obesity, metabolic syndrome or pregnancy. 3. Individuals who received gastrointestinal operation, antibiotics or probiotic products within one month.

Design outcomes

Primary

MeasureTime frameDescription
Functional and structural alteration of microbiotas and their crosstalk with CKD-associated metabolismbaselineGut metagenome, fecal metabolome and serum metabolome were performed in this disease-severity classified CKD cohort, to identify the changes of microbial compositions and metabolism in CKD progression

Countries

China

Contacts

Primary ContactHaichao Wang
whctidy@tongji.edu.cn15316167902

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026