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Identification of candidate biomarkers for NAFLD through bioinformatics analysis and machine learning based on circulating insulin degradation-associated genes.

Front Endocrinol (Lausanne) · 2026 · PMC13201111 · PMID 42205256

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Second, although our cellular and animal models showed trends broadly consistent with the bioinformatics analyses, some results did not reach statistical significance, which may be attributable to limited sample sizes and underscores the need for further validation in larger, well-characterized cohorts, particularly human clinical samples.

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