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ROLIVER - Prospective Cohort for the Identification of Liver Microbiota

ROLIVER - Prospective Cohort for the Identification of Liver Microbiota

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT03511573
Acronym
ROLIVER
Enrollment
36
Registered
2018-04-30
Start date
2014-01-01
Completion date
2017-01-31
Last updated
2018-04-30

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

Conditions

To Generate Microbial Hypotheses Putatively Responsible for the Onset of Liver Fibrosis

Brief summary

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.

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.

Interventions

PROCEDUREbariatric and other laparoscopic surgery

We have obtained liver samples during laparoscopic surgical procedures in the majority of cases. The majority of laparoscopic procedures were sleeve gastrectomies performed for morbid obesity as a primary restrictive procedure; in 5 cases the liver biopsies were performed during laparoscopic cholecystectomies.

Sponsors

Tîrgu Mureș Emergency Clinical County Hospital, Romania
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Healthy volunteers
Yes

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

Design outcomes

Primary

MeasureTime frameDescription
a positive or a negative linear regression between 16SrDNA sequences and liver fibrosis scores36 monthsthe frequency of some 16SrDNA in the liver should be positively or negatively correlated with the score of liver fibrosis

Outcome results

None listed

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