Background MicroRNAs (miRs) have been suggested to be biomarkers to inform the diagnosis of major depressive disorder (MDD). We have previously shown that exosome-derived miR-139-5p had potential in differentiating between patients with MDD and healthy control (HC) subjects. Materials and Methods To validate the potential of exosome-derived miR-139-5p as a biomarker for MDD, here we recruited 30 patients with MDD and 30 HC subjects, and used TaqMan probes to detect serum exosomal miR-139-5p levels. Results The data showed that patients with MDD had significantly increased exosomal miR-139-5p levels when compared with controls. Correlation analysis suggested that sex, age, and body mass index did not significantly affect blood exosomal miR-139-5p levels in the tested subjects. The ROC curve showed that serum-derived miR-139-5p had reasonable performance in discriminating patients with MDD and HC subjects, with a sensitivity of 0.867 and specificity of 0.767, and the AUC was 0.807. Discussion Taken together, these results demonstrated that patients with MDD were accompanied by significantly increased blood exosomal miR-139-5p levels, and exosomal miR-139-5p is a promising biomarker for the diagnosis of MDD.

Background Obesity is a serious worldwide public health problem, especially for people with mental disorders. Aim To explore the related factors of obesity by analyzing the metabolic indexes of patients with common mental disorders in stable stage. Methods Five hundred seventy-six subjects with major depressive disorder (MDD), bipolar disorder (BD) or schizophrenia (SCZ) were included, who received fixed drug dose and routine drug treatment for 2 years or more. Their venous blood was collected, and the blood metabolic indexes were analyzed. Results BD and SCZ are more prone to obesity than MDD. Multiple linear regression analysis showed that the value of BMI increased with the increase of age(B = 0.084, p < 0.001), TG(B = 0.355, p = 0.024), LDL(B = 0.697, p < 0.001), LDH(B = 0.011, p = 0.002), SCr(B = 0.051, p < 0.001), UA(B = 0.014, p < 0.001), HbA1c(B = 0.702, p = 0.004) and hsCRP(B = 0.101, p < 0.001). And It decreased with the increase of HDL(B = -1.493, p < 0.001). Discussion People with mental disorders should regularly check blood indicators and strengthen weight management to reduce the risk of obesity and promote their health.

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BackgroundSchizophrenia (SC) is considered the most serious of all mental disorders. Some antipsychotics are associated with weight gain and metabolic abnormalities. Whether SC itself causes obesity remains uncertain.MethodsWe collected 185 first-episode drug-naive SC and 59 healthy controls (HCs) from the Third People’s Hospital of Foshan, Guangdong, China, and distinguished their course of disease in order to understand the body mass index (BMI) and body fat metabolism of SC.ResultsWe found that excluding the drug factors, the longer the course of SC, the more obvious the increase of BMI and the higher the proportion of obesity. BMI was positively correlated with age, course of disease, fasting blood glucose (FBG), low-density lipoprotein (LDL), triglyceride (TG), and total cholesterol (TC), and negatively correlated with high-density lipoprotein (HDL). The results of regression analysis were further proof that age (B = 0.094, p &lt; 0.001), duration (B = 0.081, p = 0.002), FBG (B = 0.987, p = 0.004), and TG (B = 0.918, p = 0.002) were the risk factors for the increase of BMI. HDL (B = –2.875, p &lt; 0.001) was the protective factor.ConclusionSC itself can increase BMI and easily lead to obesity. We should pay more attention to the monitoring of blood metabolism indicators, so as to reduce the risk of obesity and improve the quality of life of patients.