GPT and diabetes mellitus: These biomarkers are magnesium, cholesterol, AST/ALT, percentage of monocytes, bilirubin indirect, triglyceride, lactic dehydrogenase, and diastolic blood pressure, which differentiate depression in patients with diabetes mellitus at an overall classification accuracy of 78%.