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Integrated Multi-omics Data for Personalized Treatment of Obesity-associated Fatty Liver Disease

NCT05554224 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 1104

Last updated 2024-11-13

No results posted yet for this study

Summary

The investigators seek to analyze the samples provided by patients with obesity-associated fatty liver disease at the multi-omics level and to integrate the results with clinical information, genotypic variants, and factors influencing inter-organ crosstalk. The main aim is to improve the interpretation of fatty liver disease associated with obesity and diabetes by developing predictive models built with algorithms from artificial intelligence. The challenge is to decipher the flow of information by exploring contributing factors, proximate causes of regulatory defects, and maladaptive responses that may promote therapeutic approaches.

Conditions

  • NAFLD
  • Obesity, Morbid
  • Comorbidities and Coexisting Conditions

Interventions

DIAGNOSTIC_TEST

To propose diagnostic tests for liver diseases before surgical decisions.

Observational although patients are candidates for metabolic surgery.

Sponsors & Collaborators

  • Hospital Universitari Sant Joan

    collaborator UNKNOWN

  • La Caixa Foundation

    collaborator OTHER

  • Instituto de Salud Carlos III

    collaborator OTHER_GOV

  • University of Barcelona

    collaborator OTHER

  • Institut Investigacio Sanitaria Pere Virgili

    lead OTHER

Principal Investigators

  • Jorge Joven, Professor · Institut Investigacio Sanitaria Pere Virgili

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2008-06-25
Primary Completion
2028-12-31
Completion
2028-12-31

Countries

  • Spain

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05554224 on ClinicalTrials.gov