Dysregulation of long non-coding RNA ZFAS1 in children with obesity and its predictive value for metabolic syndrome.

INTRODUCTION

The purpose of this study was to analyse the correlation between zinc finger antisense 1 (ZFAS1) and obesity and the diagnostic value of obesity complicated with metabolic syndrome (obesity-MS).

MATERIAL AND

METHODS

Serum levels of ZFAS1 were measured by quantitative real-time polymerase chain reaction (qRT-PCR) in healthy children, children with simple obesity, and children with obesity-MS. The diagnostic accuracy of ZFAS1 was evaluated using the receiver operator characteristic (ROC) curve. Pearson's method was used to study the correlation between ZFAS1 and other indicators. Logistic regression was used to analyse the significance of ZFAS1 in the progression of obesity to obesity-MS. StarBase V2.0 was used to predict the target gene of ZFAS1 (miR-193a-3p). Bioinformatics methods were used to identify the molecular functions and possible enrichment signalling pathways of downstream target genes of miR-193a-3p.

RESULTS

The expression of ZFAS1 in patients with obesity and obesity-MS showed a gradual upward trend, while the expression of miR-193a-3p was the opposite. ZFAS1 could identify obesity-MS children from children with obesity (area under the curve [AUC] = 0.880). ZFAS1 was significantly correlated with body mass index (BMI), waist circumference (WC), systolic blood pressure (SBP), and other indicators, while ZFAS1 was an independent influencing factor for the development of obesity into obesity-MS. Furthermore, a total of 104 downstream target genes of miR-193a-3p were identified, which participated in many biological processes such as protein phosphatase regulation, activation of transcription factor activity, and enrichment in MAPK signalling pathway.

CONCLUSION

ZFAS1 is dysregulated in obesity and obesity-MS. Abnormal expression of ZFAS1 has high diagnostic value for obesity-MS, and it has the potential to become a clinical diagnostic biomarker for obesity-MS.