Aminotransferase levels as a prospective predictor for the development of metabolic syndrome in patients with schizophrenia

Prevalence and Risk Factors of Non-Alcoholic Fatty Liver Disease (NAFLD) in Non-Obese Patients with Schizophrenia: A Retrospective Study

Background

To assess the prevalence and risk factors of NAFLD in non-obese patients with schizophrenia in a public psychiatric hospital in China.

Methods

A total of 1,305 adult inpatients with schizophrenia in 2019 were included in this retrospective study. Body mass index (BMI) ≥ 25 kg/m2 was considered obese, and BMI < 25 kg/m2 was considered non-obese. We obtained the data from electronic records of the Affiliated Brain Hospital of Guangzhou Medical University.

Results

A total of 1,045 non-obese patients and 260 obese patients were included in this study. The prevalence of NAFLD in non-obese patients was 25.0%, and it was much lower that in the obese patients (25.0% vs 64.6%, p < 0.001). Among the non-obese patients, there were significant differences in age, BMI, alanine aminotransferase (ALT), metabolic indices, and the prevalence of diabetes and hypertension between patients with NAFLD and patients without NAFLD. According to the results of binary logistic regression analysis, age, BMI, ALT, triglyceride (TG) and diabetes were significantly related to NAFLD among non-obese patients with schizophrenia. In contrast, HDL-C was was negatively associated with NAFLD among non-obese patients.

Conclusion

This study suggested that NAFLD was common in patients with schizophrenia, even in non-obese patients with schizophrenia. In non-obese patients with schizophrenia, age, BMI, ALT, TG and diabetes are significantly associated with NAFLD. Moreover, HDL-C level was an independent protective factor against NAFLD. Given the adverse outcomes of NAFLD, it is necessary to increase awareness of NAFLD in patients with schizophrenia, especially in non-obese patients with schizophrenia.

Exploring cellular markers of metabolic syndrome in peripheral blood mononuclear cells across the neuropsychiatric spectrum

Recent evidence suggests that comorbidities between neuropsychiatric conditions and metabolic syndrome may precede and even exacerbate long-term side-effects of psychiatric medication, such as a higher risk of type 2 diabetes and cardiovascular disease, which result in increased mortality. In the present study we compare the expression of key metabolic proteins, including the insulin receptor (CD220), glucose transporter 1 (GLUT1) and fatty acid translocase (CD36), on peripheral blood mononuclear cell subtypes from patients across the neuropsychiatric spectrum, including schizophrenia, bipolar disorder, major depression and autism spectrum conditions (n = 25/condition), relative to typical controls (n = 100). This revealed alterations in the expression of these proteins that were specific to schizophrenia. Further characterization of metabolic alterations in an extended cohort of first-onset antipsychotic drug-naïve schizophrenia patients (n = 58) and controls (n = 63) revealed that the relationship between insulin receptor expression in monocytes and physiological insulin sensitivity was disrupted in schizophrenia and that altered expression of the insulin receptor was associated with whole genome polygenic risk scores for schizophrenia. Finally, longitudinal follow-up of the schizophrenia patients over the course of antipsychotic drug treatment revealed that peripheral metabolic markers predicted changes in psychopathology and the principal side effect of weight gain at clinically relevant time points. These findings suggest that peripheral blood cells can provide an accessible surrogate model for metabolic alterations in schizophrenia and have the potential to stratify subgroups of patients with different clinical outcomes or a greater risk of developing metabolic complications following antipsychotic therapy.