Clinical trial Recruiting at 1 site Observational Ages 18 and up

Analyzing multi-omics data for personalized treatment of fatty liver disease linked to obesity

Official title: Integrated Multi-omics and Machine Learning-driven Personalized Treatment of Obesity-associated Fatty Liver Disease

Run by Institut Investigacio Sanitaria Pere Virgili · NCT05554224 · Data updated 2026-11-12

This study is trying to see if using advanced data analysis can help create personalized treatments for people with fatty liver disease caused by obesity.

Quick facts

Study typeObservational
Ages18 Years and up
SexAll
Enrollment1104 (estimated)
SponsorInstitut Investigacio Sanitaria Pere Virgili
Academic / other
Locations1 site (Reus, Tarragona)
StatusRecruiting
StartedJune 25, 2008
Main results expectedDecember 31, 2028
Study endsDecember 31, 2028
Registry record updatedNovember 13, 2024
Trial IDNCT05554224 on ClinicalTrials.gov

Is this trial a fit for you?

Likely a good fit

Ideal candidates for this study are adults aged 18 and older with a body mass index of 35 or higher, particularly those with obesity-related comorbidities.

Probably not a fit

Patients with current cancer diagnoses, severe illnesses, or those consuming drugs or alcohol may not benefit from this study.

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This study aims to analyze samples from patients with obesity-associated fatty liver disease using a multi-omics approach, integrating clinical information and genetic variants. The goal is to develop predictive models through artificial intelligence algorithms to better understand the disease's progression and underlying causes. By addressing the challenges of diagnosing and treating metabolic dysfunction-associated fatty liver disease (MAFLD), the study seeks to improve patient outcomes and therapeutic strategies. The research focuses on the significant health impacts of obesity and diabetes, which contribute to liver disease.

Why it matters

Potential benefit: If successful, this study could lead to more accurate diagnostic tests and personalized treatment options for patients with obesity-associated fatty liver disease.

How similar studies have gone: Other studies have shown promise in using multi-omics approaches for understanding complex diseases, suggesting potential for success in this novel application.

Who can join: the full rules

Show full inclusion / exclusion criteria
Inclusion Criteria:

* Body mass index greater or equal to 40 kg/m\^2.
* Body mass index between 35 and 40 kg/m\^2 with high-risk comorbidities (diagnosis or treatment for hypertension, dyslipidemia, or type 2 diabetes mellitus).
* Positive psychiatric evaluation.
* Age greater or equal to 18 years old.

Exclusion Criteria:

* Legal or illegal drug consumption, including alcohol.
* Diagnosis of Hepatitis.
* Current cancer diagnosis or treatment.
* Clinical or analytical evidence of severe illness.
* Clinical or analytical evidence of chronic or acute inflammation.
* Clinical or analytical evidence of infectious diseases.
* Clinical or analytical evidence of terminal illness.

Where it's running

  • Hospital Universitari Sant Joan
    Reus, Tarragona, Spain
    Recruiting

Study contacts

  • Principal investigator: Jorge Joven, Professor — Institut Investigacio Sanitaria Pere Virgili
  • Study coordinator: Jorge Joven, Professor
  • Email: jorge.joven@urv.cat
  • Phone: +34977310300

Similar studies

Other studies for the same condition or treatment. Recruiting studies are listed first.

How to take part

  1. Review the eligibility criteria above with your treating physician.
  2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
  3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.