ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2025
Analysis of the Association Between TG/HDL, TyG, TyG-BMI, and ZJU Indices with Metabolic Dysfunction-Associated Fatty Liver Disease in Patients with Type 2 Diabetes.
Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Inflammatory Load Across Diabetes Duration: CRP and ESR Patterns and Their Metabolic Correlates.Metabolites · 2026Article
- Quantifying the metabolic-inflammatory axis: synergistic value of TyG index and FAI in assessing CAD risk among MAFLD patients.Frontiers in endocrinology · 2026Article
- Development and validation of age- and gender-specific reference intervals for the triglyceride-glucose index in a large Chinese healthy adult population.Frontiers in endocrinology · 2026Article
- The predictive value of surrogate insulin resistance indices for T2DM complicated with metabolic syndrome: a retrospective study based on hospitalized patients in China.Frontiers in endocrinology · 2026Article
- Systemic immuno-metabolic inflammatory indices (neutrophil-to-HDL cholesterol ratio and systemic inflammation response index) are strongly associated with metabolic dysfunction-associated steatotic liver disease: a propensity score-matched study.Frontiers in immunology · 2026Article
- Predictive Value of the second-Trimester Triglyceride-Glucose Index and Its Derived Indices for Macrosomia in Gestational Diabetes Mellitus.Diabetes, metabolic syndrome and obesity : targets and therapy · 2026Article
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Authors and funding
6 authors.
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Abstract
Background: TG/HDL, TyG, TyG-BMI, and ZJU indices are associated with metabolic syndrome and cardiovascular diseases. This study aims to evaluate the relationships between these indices and metabolic dysfunction-associated fatty liver disease (MAFLD) in patients with type 2 diabetes (T2DM). Methods: We analyzed 598 T2DM patients, with MAFLD diagnosed based on abdominal ultrasound and clinical manifestations. Clinical characteristics and laboratory results were collected. Correlation analysis assessed the relationship between insulin resistance (IR) indicators and MAFLD. Logistic regression and restrictive cubic spline (RCS) analyses were performed to evaluate associations, and ROC curve analysis identified the most effective IR indicator for MAFLD. Results: Among the IR indices, the strongest association with MAFLD was observed for TyG-BMI ( Conclusion: TyG-BMI is a significant determinant for the diagnosis of MAFLD in T2DM patients, while TG/HDL is more effective for screening in female patients.
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