ArticleFrontiers in endocrinology2024
Association between liver enzymes and type 2 diabetes: a real-world study.
Article in Frontiers in endocrinology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 12 citations in OpenAlex.
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- Combining glycine with thymoquinone offers a promising strategy for diabetes treatment.Scientific reports · 2026Article
- Machine learning-based binary classification of elevated HbA1c (≥6.5 %) for risk assessment.Metabolism open · 2026Article
- Mean arterial pressure is not associated with type 2 diabetes mellitus in Japan: a secondary retrospective analysis.BMC endocrine disorders · 2026Article
- Metabolic characteristics and factors associated with prediabetes in Chinese adults based on real-world health examination data: a cross-sectional study.Frontiers in nutrition · 2026Article
- Applicability of attenuation imaging and shear wave elastography in non-invasive assessment of liver steatosis and fibrosis in adult patients.Polish journal of radiology · 2026Article
- Machine-learning-based prediction model of type 2 diabetes using liver enzymes: a cross-sectional study.Frontiers in endocrinology · 2026Article
- Role of ChREBP-PPARα-FGF21 Axis in Metabolic Dysfunction of MASLD.International journal of molecular sciences · 2025Article
- Predictive Models for Type 2 Diabetes Mellitus in Han Chinese with Insights into Cross-Population Applicability and Demographic Specific Risk Factors.Diabetes & metabolism journal · 2025Article
- Exploring the impact of high rosuvastatin plasma exposure on new-onset diabetes mellitus: insights from machine learning-based prediction.European journal of medical research · 2025Article
- Bioinformatics analysis combined with experimental validation reveals the novel mechanisms of multi-targets of dapagliflozin attenuating diabetic liver injury.Frontiers in endocrinology · 2025Article
- Metabolic dysfunction associated fatty liver disease and type 2 diabetes: pathophysiological links, epidemiological trends, and clinical implications.Frontiers in endocrinology · 2025Review
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aim: This study aimed to examine the association of liver enzymes, including alanine aminotransferase (ALT), aspartate aminotransferase (AST), and gamma-glutamyl-transferase (GGT), with type 2 diabetes (T2D) risk, particularly their dose-response relationship. Methods: This cross-sectional study enrolled participants aged >20 years old who underwent physical examination at our local hospital from November 2022 to May 2023. A generalized additive model (GAM) was fit to assess the dose-response relationship between liver enzymes and T2D risk. Furthermore, data from the UK Biobank (n=217,533) and National Health and Nutrition Examination Survey (NHANES 2011-2018; n= 15,528) were analyzed to evaluate whether the dose-response relationship between liver enzymes and T2D differed by population differences. Results: A total of 14,100 participants were included (1,155 individuals with T2D and 12,945 individuals without diabetes) in the analysis. GAM revealed a non-linear relationship between liver enzymes and T2D risk ( Conclusion: Liver enzymes were non-linearly associated with T2D risk in different populations, including China, the UK, and the US. Elevated ALT and GGT levels, within a certain range, could increase T2D risk. More attention should be given to liver enzyme levels for early lifestyle intervention and early T2D prevention. Further studies are necessary to explore the mechanism of the non-linear association between liver enzymes and T2D risk.
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