AI Article Synopsis

  • There is a need for better risk stratification in metabolic dysfunction-associated steatotic liver disease (MASLD) to identify patients with advanced fibrosis who are at higher risk for negative outcomes.
  • Incorporating novel biomarkers through omics technologies could enhance current predictive methods, but much of the existing research lacks consistency and clinical validation.
  • A roadmap is necessary to effectively translate these emerging omics-based biomarkers into reliable tests that can be used in clinical practice for MASLD.

Article Abstract

Unmet needs exist in metabolic dysfunction-associated steatotic liver disease (MASLD) risk stratification. Our ability to identify patients with MASLD with advanced fibrosis and at higher risk for adverse outcomes is still limited. Incorporating novel biomarkers could represent a meaningful improvement to current risk predictors. With this aim, omics technologies have revolutionized the process of MASLD biomarker discovery over the past decades. While the research in this field is thriving, much of the publication has been haphazard, often using single-omics data and specimen sets of convenience, with many identified candidate biomarkers but lacking clinical validation and utility. If we incorporate these biomarkers to direct patients' management, it should be considered that the roadmap for translating a newly discovered omics-based signature to an actual, analytically valid test useful in MASLD clinical practice is rigorous and, therefore, not easily accomplished. This article presents an overview of this area's current state, the conceivable opportunities and challenges of omics-based laboratory diagnostics, and a roadmap for improving MASLD biomarker research.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11045490PMC
http://dx.doi.org/10.3748/wjg.v30.i14.1982DOI Listing

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