The MULTISITE Study
A Multidisciplinary Approach to Screening for Obesity Complications - The MULTISITE Study
1 other identifier
interventional
90
1 country
1
Brief Summary
This study will investigate potential correlations and relationships between obesity and organ-specific complications, including non-alcoholic fatty liver disease (NAFLD), non-alcoholic fatty pancreas disease (NAFPD) and fatty kidney. Furthermore, it will investigate how and if a lifestyle-induced weight-loss intervention decreases liver fat and improve NAFLD. Furthermore, the study will investigate if extracellular vesicles (EVs) can be used as a biomarker for early detection of any of the above-mentioned by comparing obese individuals with NAFLD and metabolic syndrome with both normal weight controls and obese individuals without NAFLD and metabolic syndrome. Lastly, it will investigate if weight changes and the resulting improvement of NAFLD are accompanied by changes in liver-specific extracellular vesicle (EV) phenotypes.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable
Started Oct 2020
Longer than P75 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
October 6, 2020
CompletedFirst Submitted
Initial submission to the registry
April 19, 2022
CompletedFirst Posted
Study publicly available on registry
January 26, 2023
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 31, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
January 31, 2036
ExpectedFebruary 22, 2024
February 1, 2024
5.2 years
April 19, 2022
February 21, 2024
Conditions
Outcome Measures
Primary Outcomes (6)
Effect of weight loss on organ steatosis
Changes in steatosis of the liver, pancreas and kidneys assessed by magnetic resonance imaging (proton density fat fraction) between baseline, during weight loss, and after weight loss.
36 months
Effect of weight loss on plasma alanine transaminase
Changes in plasma alanine transaminase (IU/L) between baseline, during weight loss, and after weight loss.
36 months
Effect of weight loss on BMI
Changes in BMI between baseline, during weight loss, and after weight loss. Weight and height will be combined to report BMI in kg/m\^2.
36 months
Effect of weight loss on total body fat
Changes in total body fat (%) as assessed by dual dual energy x-ray absorptiometry between baseline, during weight loss, and after weight loss.
36 months
Effect of weight loss on the homeostasis model assessment for insulin resistance
Changes in Homeostasis model assessment for insulin resistance (HOMA) between baseline, during weight loss, and after weight loss. Insulin (pmol/L) and plasma glucose (mmol/L) will be combined to calculate HOMA using the iterative structural model.
36 months
Effect of weight loss on plasma aspartate transaminase
Changes in plasma aspartate transaminase (IU/L) between baseline, during weight loss, and after weight loss.
36 months
Secondary Outcomes (2)
Extracellular vesicles as biomarkers in disease monitoring
36 months
Extracellular vesicles as biomarkers for NAFLD diagnosis
36 months
Study Arms (3)
Metabolically unhealthy obese (Intervention group)
EXPERIMENTALObese (BMI: 30.0 - 39.9) participants with non-alcoholic fatty liver disease and metabolic syndrome.
Metabolically healthy obese (Comparison group 1)
NO INTERVENTIONObese individuals considered metabolically healthy based on them not presenting non-alcoholic fatty liver disease or metabolic syndrome.
Healthy normal weight (Comparison group 2)
NO INTERVENTIONNormal weight individuals without non-alcoholic fatty liver disease or metabolic syndrome.
Interventions
Lifestyle intervention in the form of individualised dietitian consultation with the overall goal of weight loss. Intervention includes one initial consultation with a dietician of 1 hour and 15 minutes where participants receive a personalised diet-plan customised to the participants everyday life. After the initial consultation, the participants attend 10 "follow-ups" of about 25 minutes that are spread out over 4-5 months.
Eligibility Criteria
You may qualify if:
- Age 30-60
- BMI between 30,0 - 39,9 kg/m2.
- Signed informed consent.
- Metabolic syndrome
- NAFLD
- Wishes to participate in a weight reduction program.
You may not qualify if:
- Diabetes or any significant endocrine, heart, kidney, liver, or malignant disease.
- Pregnancy, planned pregnancy, or breast-feeding during the trial.
- Alcohol abuse or abuse of recreational drugs
- Excessive weight loss within the last three months (defined as more than 10 kilograms).
- Contraindications for MRI and dual energy x-ray absorptiometry (DEXA)scanning.
- Any medical condition or history thereof or any deviation from normal laboratory values that, in the opinion of the investigator, clinically contraindicates or hinders the completion of the trial procedures.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Aalborg University Hospital
Aalborg, North Jutland, 9000, Denmark
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Aase Handberg, Prof MD DMSc
Aalborg University Hospital
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NON RANDOMIZED
- Masking
- NONE
- Purpose
- TREATMENT
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Professor
Study Record Dates
First Submitted
April 19, 2022
First Posted
January 26, 2023
Study Start
October 6, 2020
Primary Completion
December 31, 2025
Study Completion (Estimated)
January 31, 2036
Last Updated
February 22, 2024
Record last verified: 2024-02
Data Sharing
- IPD Sharing
- Will not share
There is a general wish too share Individual Participant Data (IPD), however, due to stringent data and personal data protection considerations, it will not be possible unless data can be fully anonymised in the future.