Frontiers in Endocrinology (May 2022)

Metabolic Stress Index Including Mitochondrial Biomarker for Noninvasive Diagnosis of Hepatic Steatosis

  • Jae Seung Chang,
  • Jae Seung Chang,
  • Jhii-Hyun Ahn,
  • Seong Hee Kang,
  • Seong Hee Kang,
  • Sang-Baek Koh,
  • Jang-Young Kim,
  • Soon Koo Baik,
  • Soon Koo Baik,
  • Soon Koo Baik,
  • Ji Hye Huh,
  • Samuel S. Lee,
  • Moon Young Kim,
  • Moon Young Kim,
  • Moon Young Kim,
  • Kyu-Sang Park,
  • Kyu-Sang Park

DOI
https://doi.org/10.3389/fendo.2022.896334
Journal volume & issue
Vol. 13

Abstract

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BackgroundMitochondrial dysfunction with oxidative stress contributes to nonalcoholic fatty liver disease (NAFLD) progression. We investigated the steatosis predictive efficacy of a novel non-invasive diagnostic panel using metabolic stress biomarkers.MethodsAltogether, 343 subjects who underwent magnetic resonance imaging-based liver examinations from a population-based general cohort, and 41 patients enrolled in a biopsy-evaluated NAFLD cohort, participated in the development and validation groups, respectively. Serologic stress biomarkers were quantitated by enzyme-linked immunosorbent assay.ResultsMultivariate regression showed that waist-to-hip ratio, fibroblast growth factor (FGF) 21, FGF19, adiponectin-to-leptin ratio, insulin, albumin, triglyceride, total-cholesterol, and alanine-aminotransferase were independent predictors of steatosis (rank-ordered by Wald). The area under receiver-operator characteristics curve [AUROC (95%CI)] of the metabolic stress index for steatosis (MSI-S) was 0.886 (0.85−0.92) and 0.825 (0.69−0.96) in development and validation groups, respectively. MSI-S had higher diagnostic accuracy (78.1%−81.1%) than other steatosis indices. MSI-S notably differentiated steatosis severities, while other indices showed less discrimination.ConclusionMSI-S, as a novel non-invasive index, based on mitochondrial stress biomarker FGF21 effectively predicted steatosis. Furthermore, MSI-S may increase the population that could be excluded from further evaluation, reducing unnecessary invasive investigations more effectively than other indices.

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