The Correlation Between Gut Microbiome/Metabolite and End Stage Renal Disease (ESRD)

NCT ID: NCT03010696

Last Updated: 2020-10-22

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

293 participants

Study Classification

OBSERVATIONAL

Study Start Date

2015-06-30

Study Completion Date

2017-12-31

Brief Summary

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The purpose of this study is to investigate the differences of gut Microbiome/Metabolite between ESRD patients and healthy subjects. Two hundred and twenty three hemodialysis patients and 70 healthy subjects are recruited, and a cross-sectional study is performed.

Detailed Description

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Conditions

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Kidney Failure, Chronic

Study Design

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Observational Model Type

CASE_CONTROL

Study Time Perspective

CROSS_SECTIONAL

Study Groups

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Healthy subjects

Normal kidney function

No interventions, questionnaire, collect specimen

Intervention Type OTHER

ESRD patients

Diagnosed as ESRD with hemodialysis

No interventions, questionnaire, collect specimen

Intervention Type OTHER

Interventions

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No interventions, questionnaire, collect specimen

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

* Age over 18 years old
* Liver and kidney function is normal
* 18.5≤BMI≤29.9
* Agree to sign the informed consent form


* Age over 18 years old
* Patients who diagnosed as ESRD with hemodialysis
* Fixed hemodialysis cycle (average 3 times a week)
* Agree to sign the informed consent form

Exclusion Criteria

* Diagnosed as Metabolic syndrome
* Diagnosed as Cirrhosis
* Diagnosed as kidney disease
* Taking fermented food (live lactic acid bacteria drinks, cheese, yogurt, probiotic products, etc.) within 14 days before the study
* Taking antibiotics or antifungal drugs within 30 days before the study

For ESRD patients


* Taking antibiotics or antifungal drugs within 30 days before the study
* Taking fermented food (live lactic acid bacteria drinks, cheese, yogurt, probiotic products, etc.) within 14 days before the study
* Reasercher are not sure whether the subjects are willing or able to complete the study
* Subject participated in other research projects within two months before the study
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Peking University Aerospace Center Hospital

OTHER

Sponsor Role collaborator

General Hospital of Chinese Armed Police Forces

OTHER

Sponsor Role collaborator

Beijing Anzhen Hospital

OTHER

Sponsor Role collaborator

Peking University Shougang Hospital

OTHER

Sponsor Role collaborator

Beijing Heyiyuan Biotech Co. Ltd.

OTHER

Sponsor Role collaborator

Shenzhen Microbiota Technology Co. Ltd.

UNKNOWN

Sponsor Role collaborator

China Agricultural University

OTHER

Sponsor Role lead

Responsible Party

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Fazheng Ren

Professor

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Fazheng Ren, PhD

Role: PRINCIPAL_INVESTIGATOR

China Agricultural Universtiy

Locations

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Beijing Anzhen Hospital

Beijing, , China

Site Status

General Hospital of Chinese Armed Police Forces

Beijing, , China

Site Status

Peking University Aerospace Centre Hospital

Beijing, , China

Site Status

Peking University Shougang Hospital

Beijing, , China

Site Status

Countries

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China

References

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Vaziri ND, Wong J, Pahl M, Piceno YM, Yuan J, DeSantis TZ, Ni Z, Nguyen TH, Andersen GL. Chronic kidney disease alters intestinal microbial flora. Kidney Int. 2013 Feb;83(2):308-15. doi: 10.1038/ki.2012.345. Epub 2012 Sep 19.

Reference Type BACKGROUND
PMID: 22992469 (View on PubMed)

Poesen R, Windey K, Neven E, Kuypers D, De Preter V, Augustijns P, D'Haese P, Evenepoel P, Verbeke K, Meijers B. The Influence of CKD on Colonic Microbial Metabolism. J Am Soc Nephrol. 2016 May;27(5):1389-99. doi: 10.1681/ASN.2015030279. Epub 2015 Sep 23.

Reference Type BACKGROUND
PMID: 26400570 (View on PubMed)

Koppe L, Mafra D, Fouque D. Probiotics and chronic kidney disease. Kidney Int. 2015 Nov;88(5):958-66. doi: 10.1038/ki.2015.255. Epub 2015 Sep 16.

Reference Type BACKGROUND
PMID: 26376131 (View on PubMed)

Anders HJ, Andersen K, Stecher B. The intestinal microbiota, a leaky gut, and abnormal immunity in kidney disease. Kidney Int. 2013 Jun;83(6):1010-6. doi: 10.1038/ki.2012.440. Epub 2013 Jan 16.

Reference Type BACKGROUND
PMID: 23325079 (View on PubMed)

Ramezani A, Raj DS. The gut microbiome, kidney disease, and targeted interventions. J Am Soc Nephrol. 2014 Apr;25(4):657-70. doi: 10.1681/ASN.2013080905. Epub 2013 Nov 14.

Reference Type BACKGROUND
PMID: 24231662 (View on PubMed)

Poesen R, Claes K, Evenepoel P, de Loor H, Augustijns P, Kuypers D, Meijers B. Microbiota-Derived Phenylacetylglutamine Associates with Overall Mortality and Cardiovascular Disease in Patients with CKD. J Am Soc Nephrol. 2016 Nov;27(11):3479-3487. doi: 10.1681/ASN.2015121302. Epub 2016 May 26.

Reference Type BACKGROUND
PMID: 27230658 (View on PubMed)

Meyer TW, Hostetter TH. Uremia. N Engl J Med. 2007 Sep 27;357(13):1316-25. doi: 10.1056/NEJMra071313. No abstract available.

Reference Type BACKGROUND
PMID: 17898101 (View on PubMed)

Aronov PA, Luo FJ, Plummer NS, Quan Z, Holmes S, Hostetter TH, Meyer TW. Colonic contribution to uremic solutes. J Am Soc Nephrol. 2011 Sep;22(9):1769-76. doi: 10.1681/ASN.2010121220. Epub 2011 Jul 22.

Reference Type BACKGROUND
PMID: 21784895 (View on PubMed)

Wang X, Yang S, Li S, Zhao L, Hao Y, Qin J, Zhang L, Zhang C, Bian W, Zuo L, Gao X, Zhu B, Lei XG, Gu Z, Cui W, Xu X, Li Z, Zhu B, Li Y, Chen S, Guo H, Zhang H, Sun J, Zhang M, Hui Y, Zhang X, Liu X, Sun B, Wang L, Qiu Q, Zhang Y, Li X, Liu W, Xue R, Wu H, Shao D, Li J, Zhou Y, Li S, Yang R, Pedersen OB, Yu Z, Ehrlich SD, Ren F. Aberrant gut microbiota alters host metabolome and impacts renal failure in humans and rodents. Gut. 2020 Dec;69(12):2131-2142. doi: 10.1136/gutjnl-2019-319766. Epub 2020 Apr 2.

Reference Type DERIVED
PMID: 32241904 (View on PubMed)

Other Identifiers

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CAUPCKD-01

Identifier Type: -

Identifier Source: org_study_id

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