ROLIVER - Prospective Cohort for the Identification of Liver Microbiota (ROLIVER)

April 18, 2018 updated by: Radu Mircea Neagoe, Tîrgu Mureș Emergency Clinical County Hospital, Romania
The existence of an adipose tissue microbiota causally involved in the triggering of a low grade inflammation could resemble what observed in liver fibrosis. To generate microbial hypotheses putatively responsible for the onset of liver fibrosis we sequenced the 16SrDNA gene from liver biopsies from 36 obese patients (ROLIVER cohort) and describe an original mathematical approach to decipher signatures of early stage of liver fibrosis F0, F1, F2.

Study Overview

Detailed Description

Liver diseases and notably fibrosis are featured by a gut microbiota dysbiosis with a large diversity. Classical statistical analyses does not allow to discriminate between the different low score of liver fibrosis F0,F1,F2. The existence of an adipose tissue microbiota causally involved in the triggering of a low grade inflammation could resemble what observed in liver fibrosis. To generate microbial hypotheses putatively responsible for the onset of liver fibrosis we sequenced the 16SrDNA gene from liver biopsies from 36 obese patients (ROLIVER cohort) and describe an original mathematical approach to decipher signatures of early stage of liver fibrosis F0, F1, F2. We identified that Protebacteria as the main phyla in liver with Pseudomonadaceae and Proteobacteriaceae families representing ~60% of the 16SrDNA gene diversity. While primary component analyses were unable to discriminate between the three groups the partial least square discriminant analysis appears as a powerful tool to identify signatures predictive for each group. We further constructed a matrix of interacting OTU clusters surrounding early scores of liver fibrosis. Eventually, we applied the tfidf approach to exemplify the rare variables which could be carrying some information suitable to refine the diagnosis. Altogether, we here propose a mathematical approach suitable for precise identification of bacteria putatively involve in the progressive development of liver fibrosis that represent hence a new therapeutic opportunity.

Study Type

Observational

Enrollment (Actual)

36

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

Yes

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Eligible participants were males or females with a BMI over 35 and comorbidities or over 40.

Description

Inclusion Criteria:

  • bariatric patients
  • morbid obesity patients

Exclusion Criteria:

  • serious chronic associated illness (heart failure, cirrhosis, panhypopituitarism or autoimmune diseases), consumption of alcohol (> 20 g ethanol intake per day), related use of medication (use of laxatives, fiber supplements or probiotics in the previous 6 weeks), inflammatory disorders and use of immunomodulatory drugs. Other exclusion criteria were: history of bariatric surgery, use of anti-obesity drugs in the previous 3 months, recent (last 2 months) or on-going antibiotic use, excessive use of vitamin D supplementation; active or recent (last 3 months), participation in a weight loss program or weight change of 3 kg during the past 3 months, pregnant or planning pregnancy within 6 months or breastfeeding women, drug abuse, and other reasons identified by the Investigator.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
a positive or a negative linear regression between 16SrDNA sequences and liver fibrosis scores
Time Frame: 36 months
the frequency of some 16SrDNA in the liver should be positively or negatively correlated with the score of liver fibrosis
36 months

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

January 1, 2014

Primary Completion (Actual)

December 31, 2016

Study Completion (Actual)

January 31, 2017

Study Registration Dates

First Submitted

April 18, 2018

First Submitted That Met QC Criteria

April 18, 2018

First Posted (Actual)

April 30, 2018

Study Record Updates

Last Update Posted (Actual)

April 30, 2018

Last Update Submitted That Met QC Criteria

April 18, 2018

Last Verified

April 1, 2018

More Information

Terms related to this study

Other Study ID Numbers

  • TirguMECCH

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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