ArticleMetabolites2023
Multi-Modality, Multi-Dimensional Characterization of Pediatric Non-Alcoholic Fatty Liver Disease.
Article in Metabolites, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
5 citing papers in PubMed.
- Amino Acids-Potential Biomarkers of Histological Features for MASLD in Pediatric Obesity.International journal of molecular sciences · 2026Review
- Tryptophan derivatives as non-invasive diagnostic indicators for obesity-related MASLD in children and adolescents.Diabetes, obesity & metabolism · 2025Article
- The Ability of the Triglyceride-Glucose (TyG) Index and Modified TyG Indexes to Predict the Presence of Metabolic-Associated Fatty Liver Disease and Metabolic Syndrome in a Pediatric Population with Obesity.Journal of clinical medicine · 2025Article
- Evaluating the Diagnostic Performance of Large Language Models on Complex Multimodal Medical Cases.Journal of medical Internet research · 2024Article
- Topological Deep Learning: A New Dimension in Gastroenterology for Metabolic Dysfunction-Associated Fatty Liver.Cureus · 2024Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Non-alcoholic fatty liver disease is a multifaceted disease that progresses through multiple phases; it involves metabolic as well as structural changes. These alterations can be measured directly or indirectly through blood, non-invasive imaging, and/or tissue analyses. While some studies have evaluated the correlations between two sets of measurements (e.g., histopathology with cross-sectional imaging or blood biomarkers), the interrelationships, if any, among histopathology, clinical blood profiles, cross-sectional imaging, and metabolomics in a pediatric cohort remain unknown. We created a multiparametric clinical MRI-histopathologic NMR network map of pediatric NAFLD through multimodal correlation networks, in order to gain insight into how these different sets of measurements are related. We found that leptin and other blood markers were correlated with many other measurements; however, upon filtering out the blood biomarkers, the network was decomposed into three independent hubs centered around histopathological features, each with associated MRI and plasma metabolites. These multi-modality maps could serve as a framework for characterizing disease status and progression and could potentially guide medical interventions.
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Registered trials
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