Adipocytokines as Predictors of Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD) Development in Type 2 Diabetes Mellitus Patients.

BACKGROUND

Metabolic dysfunction-associated steatotic liver disease (MASLD) is a common chronic liver condition. Due to pathophysiological processes, MASLD's relation to type 2 diabetes mellitus (T2DM) is still unclear, especially when the role of adipocytokines is taken into consideration.

OBJECTIVE

This study aims to examine the potential predictive value of adiponectin and resistin for MASLD in T2DM.

PATIENTS AND METHODS

In a two-year study, 71 T2DM patients were categorized into MASLD-T2DM and non-MASLD-T2DM groups according to MASLD development. Serum samples were tested for resistin, adiponectin, high-density lipoprotein cholesterol, fasting glucose, and triglycerides. An appropriate equation is used to calculate the adiponectin/resistin (A/R) index. The optimal cut-off values for differentiating MASLD patients from non-MASLD patients were determined using receiver operating characteristic (ROC) curves and the corresponding areas under the curve (AUC). To predict the onset of MASLD in patients with T2DM, a logistic regression analysis was performed.

RESULTS

There were significant differences in adiponectin (p<0.001), resistin (p<0.001), and A/R index (p<0.001) between T2DM individuals with and without MASLD. The ROC curve for resistin produced an AUC of 0.997 (p<0.001) with a sensitivity of 96.1% and a specificity of 100% for the cut-off point of 253.15. Adiponectin (OR, 0.054; 95% CI, 0.011-0.268; p<0.001) and resistin (OR, 1.745; 95% CI, 1.195-2,548; p=0.004) were found to be independent predictors for MASLD by logistic regression analysis.

CONCLUSION

This study confirms the potential of adiponectin and resistin as predictors of MASLD development in T2DM.