Objective To explore the expression of long noncoding RNA (lncRNA) MEG3 in white preadipocyte differentiation process and visceral fatty tissues of the obese. In addition to evaluate the relationship between the expression of MEG3 and body mass index (BMI) and to provide clues of MEG3 role in adipocyte differentiation and obesity. Methods The expressions of MEG3 at different time points (D0, D1, D3, D5, D9, and D12) were detected by quantitative polymerase chain reaction(qPCR). Furthermore, the MEG3 expressions in visceral fatty tissues of the control and obese were also examined by qPCR. Pearson correlation was used to discover the variation trend between MEG3 and BMI, triacylglycerol and cholesterol. Results ① MEG3 expression was increased during the differentiation (D1, D3, D5, D9, and D12) of white preadipocytes, especially at early time points. ② In the obese, the expression of MEG3 in visceral organs was obviously augmented (P<0.05). ③ The expression was strongly correlated with BMI［r=0.5038(/PPIA), r=0.5497(/18s)］. Conclusion This study characterized the change of MEG3 expression during white preadipocyte differentiation and indicated that MEG3 may be a regulator during differentiation of adipocytes. Similarly, the increased level of MEG3 in the obese remains a target objective for prevention and treatment of obesity.

Objective To discuss the correlation between executive function and attention-deficit hyperactivity disorder (ADHD) symptoms in preschool children, and to establish the ADHD diagnostic prediction model based on clinical data. Methods Parents of kindergarten students (n=105), non-reference clinical patients who were diagnosed as having ADHD (n=263) by the psychiatrists based on Diagnostic and Statistical Manual of Mental Disorders, fifth edition (DSM-5) and diagnostic infant preschool assessment (DIPA) completed the (Swanson, Nolan, and Pelham Ⅳ Rating Scale，parent version, SNAP-Ⅳ), strengths and difficulties questionnaire (SDQ), and behavior rating scale of executive function-preschool version parent form(BRIEF-P) to evaluate children's symptoms and executive function through different perspectives. Significant factors which contribute to relationship were chosen by correlation analysis, and then whole prediction was made by Logistic regression. To improve the prediction of ADHD, subsections prediction was made using decision tree analysis and Logistic regression conditionally to classify ADHD types. Results ① Factors which were relative to ADHD mainly included inhibition, working memory, inhibitory selfcontrol, emergent metacognition and total BRIEF-P score, hyperactivity, inattention and hyperactivity/impulsivity. ② Logistic regression predicted 88.8% of ADHD, and decision tree analysis showed that the prediction nodes influencing diagnosis of  ADHD included inattention, inhibition and inhibitory self-control factors. ③ Logistic regression and decision tree analysis were conducted on ADHD subtype diagnostic prediction and related significant factors. Conclusion The ADHD symptoms and executive function can predict the diagnosis of ADHD in preschool children. Moreover, it predicts the diagnosis of ADHD subtype and comorbidity with oppositional defiant disorder(ODD), providing the references for clinic application.