ALT | eGDMD

By admin , 18 September 2025

Go ontology

Literature evidence

Literature link	GPT Summary	Evidence category	Disease type


27264612	This study investigated the relationship between alanine aminotransferase (ALT) levels in the first trimester and gestational diabetes mellitus (GDM) risk among 17,359 Chinese women. Results showed a positive association between ALT levels and GDM risk, with no clear threshold. Women with ALT levels in the middle range (22-40 U/L) and high range (≥40 U/L) had increased odds of GDM (OR: 1.41 and 1.62, respectively) compared to those with ALT <22 U/L. Additionally, the combination of elevated ALT levels (≥22 U/L) and maternal overweight/obesity significantly increased GDM risk (OR: 3.46), demonstrating an additive interaction. These findings suggest that elevated ALT, even within the normal range, is a predictor of GDM, and this risk is further amplified by overweight/obesity.	Risk factor	GDM
38836232	This study investigated the relationship between liver function biomarkers in early pregnancy and the risk of gestational diabetes mellitus (GDM) in a cohort of 9,148 pregnant women. Elevated levels of liver function indices (ALT, AST, GGT, ALP, and hepatic steatosis index) were significantly associated with an increased risk of GDM, particularly abnormal postprandial glucose levels. Among these, a causal link between ALT and GDM was confirmed using Mendelian randomization analysis (OR=1.28). Furthermore, a significant interaction between AST/ALT ratio and triglycerides (TG) on GDM risk was identified. These findings highlight the potential role of liver biomarkers as predictors of GDM and suggest a need for further exploration of liver function's impact on glucose metabolism during pregnancy.	Risk factor	GDM
39462412	This study aimed to develop a predictive model for gestational diabetes mellitus (GDM) using a combination of clinical characteristics and serum biomarkers. Data were collected from 378 pregnant women with full-term singleton vaginal deliveries, and predictors were identified through stepwise logistic regression. The final model included eight factors: serum ALT, TBA, TC, TG levels, and personal characteristics such as appetite changes due to GDM, husband-wife relationship, family history of diabetes, and parental relationships. The model demonstrated good fit in the Hosmer-Lemeshow test (P > 0.05) and achieved an area under the ROC curve (AUC) of 0.93, 0.72, and 0.68 for the training, internal validation, and external validation sets, respectively. These findings suggest that the model, combining routine obstetric tests and psychosocial factors, may serve as an effective tool for early GDM risk prediction.	Risk factor	GDM