Microbiome and Sarcopenia in Patients With Liver Cirrhosis

October 7, 2024 updated by: Medical University of Graz

Microbiome and Sarcopenia in Patients With Liver Cirrhosis: A Prospective Controlled Cohort Study

Protein-energy malnutrition (PEM) occurs in 65-90% of patients with liver cirrhosis. Severity of malnutrition correlates with progression of liver disease and leads to sarcopenia in 30-70% of cirrhotic patients. Malnutrition and sarcopenia are associated with an increased risk of complications and mortality.

In cirrhosis the gut microbiome is altered leading to increased gut permeability, bacterial translocation and inflammation. Since the microbiome is involved in nutrient uptake and metabolism, it is hypothesized that microbiome alterations contribute to sarcopenia. A prospective controlled cohort study to investigate the interrelation of microbiome changes and sarcopenia in cirrhosis will be conducted. Furthermore the effect of nutritional interventions on the microbiome in cirrhosis will be studied. From this study information on how the gut microbiome composition and sarcopenia are associated in cirrhosis and if modulation of the gut microbiome by nutritional interventions is feasible will be collected.

Study Overview

Status

Recruiting

Intervention / Treatment

Detailed Description

Scientific background

Protein-energy malnutrition (PEM) occurs in 65-90% of patients with chronic liver disease. PEM is caused by various factors including poor dietary intake, loss of appetite, decreased hepatic protein synthesis, malabsorption and hypermetabolism. It is associated with an increased risk of complications including ascites, hepatic encephalopathy, variceal bleeding, hepatorenal syndrome and mortality. There is a direct relation between the progression of the liver disease and the severity of malnutrition.

Malnutrition and sarcopenia in liver cirrhosis patients

PEM leads to sarcopenia as a common, but frequently overlooked, complication. Sarcopenia is defined as a decrease in muscle mass two standard deviations below the healthy young adult mean. Sarcopenia is associated with aging, chronic diseases and malignancy. To determine the severity of muscle wasting, computed tomography scan (CT) or magnetic resonance imaging (MRI) are an objective and reproducible technique. Sarcopenia negatively impacts on survival, correlates with the risk of infections, increases surgical risk and leads to a poor quality of life. Besides PEM also inflammation is of importance in the development of sarcopenia.

Diversity in the microbiome in patients with liver cirrhosis and association with sarcopenia.

The gut microbiome of liver cirrhosis patients is altered compared to healthy individuals. Dysbiosis leads to an increased gut permeability, bacterial translocation and inflammation. This contributes to fibrogenesis and may also be related to hepatocarcinogenesis. Hence, new treatment approaches in cirrhosis focus on changing the microbial landscape.

Modulation the gut microbiome may also be a strategy to reverse sarcopenia by reducing systematic inflammation.

Hypothesis and aims

There is an association between gut microbiome composition, gut permeability and the existence of sarcopenia in cirrhotic patients.

Primary hypothesis: Diversity of the gut microbiome is reduced in liver cirrhosis patients with sarcopenia compared to those without sarcopenia or healthy controls.

Secondary hypotheses: There is an association between gut microbiome composition, biomarker of gut permeability and bacterial translocation with the presence of sarcopenia in cirrhosis. Oral nutrition supplements (ONS) can influence the composition of the gut microbiome, gut permeability, bacterial translocation and inflammation. Sarcopenia can be diagnosed from patients portraits.

Aims: to investigate:

  • the composition of the gut microbiome
  • biomarkers of gut permeability, bacterial translocation and inflammation
  • the incidence and severity of sarcopenia
  • the impact of oral nutrition supplements (ONS) on the gut microbiome
  • whether artificial intelligence can be used to diagnose sarcopenia from face portraits.

Study Type

Interventional

Enrollment (Estimated)

120

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

Study Locations

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

18 years to 100 years (Adult, Older Adult)

Accepts Healthy Volunteers

Yes

Description

Inclusion Criteria:

  • Hospitalized patients for any reason with clinical/radiological/histological diagnosis of cirrhosis
  • Age >18y
  • Informed consent
  • CT/MRI scan within +/-14 days of the baseline study visit

Exclusion Criteria:

  • Hepatic encephalopathy > grade 2 and or other cognitive disorder not allowing informed consent
  • advanced hepatocellular carcinoma
  • Any other condition or circumstance, which, in the opinion of the investigator, would affect the patient's ability to participate in the protocol

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

  • Primary Purpose: Basic Science
  • Allocation: Non-Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Single

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Cirrhosis + sarcopenia
Patients with cirrhosis will receive 200ml of an oral nutritional supplement daily for 7 days.
dietary protein energy supplement
No Intervention: Control
Patients with sarcopenia and no evidence of cirrhosis and healthy controls

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Alpha diversity
Time Frame: day 1
16s rDNA sequencing of the stool microbiome
day 1

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Zonulin
Time Frame: day 1
ELISA
day 1
diamino-oxidase
Time Frame: day 1, day 7
ELISA
day 1, day 7
Calprotectin
Time Frame: day 1
ELISA
day 1
Gut permeability
Time Frame: change between day 1 and day 7
marker panel
change between day 1 and day 7
taxonomic composition of the microbiome
Time Frame: day 1
16s rDNA sequencing of the stool microbiome
day 1
taxonomic composition of the microbiome
Time Frame: change between day 1 and day 7
16s rDNA sequencing of the stool microbiome
change between day 1 and day 7
lipopolysaccharide
Time Frame: day 1
HEK blue cell assay
day 1
sCD14
Time Frame: day 1
ELISA
day 1
lipopolysaccharide binding protein
Time Frame: day 1
ELISA
day 1
bacterial DNA
Time Frame: day 1
HEK blue cell assay
day 1
bacterial translocation
Time Frame: change between day 1 and day 7
marker panel
change between day 1 and day 7
cytokine panel
Time Frame: day 1
Bead array
day 1
carboxylated proteins
Time Frame: day 1
ELISA
day 1
advanced oxidation end products
Time Frame: day 1
ELISA
day 1
inflammation
Time Frame: change between day 1 and day 7
marker panel
change between day 1 and day 7
myostatin
Time Frame: day 1
ELISA
day 1
fibroblast growth factor 21
Time Frame: day 1
ELISA
day 1
insulin like growth factor 1
Time Frame: day 1
ELISA
day 1
Irisin
Time Frame: day 1
ELISA
day 1
nutritional status
Time Frame: day 1
Questionnaire
day 1
Sarcopenia
Time Frame: day 1
MR/CT scan
day 1
face portrait
Time Frame: day 1
face portraits "selfies" will be obtained and AI algorithms will be used to diagnose sarcopenia from selfies
day 1

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)

April 11, 2017

Primary Completion (Estimated)

December 1, 2026

Study Completion (Estimated)

December 1, 2026

Study Registration Dates

First Submitted

March 1, 2017

First Submitted That Met QC Criteria

March 14, 2017

First Posted (Actual)

March 15, 2017

Study Record Updates

Last Update Posted (Actual)

October 9, 2024

Last Update Submitted That Met QC Criteria

October 7, 2024

Last Verified

October 1, 2024

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

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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