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Dysregulation of Circulating miR-24-3p in Children with Obesity and Its Predictive Value for Metabolic Syndrome
Author(s) -
Zhang Bingjin,
Xing Lingling,
Wang Beibei
Publication year - 2021
Publication title -
obesity facts
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.398
H-Index - 45
eISSN - 1662-4033
pISSN - 1662-4025
DOI - 10.1159/000515720
Subject(s) - research article
Obesity is a major risk factor for metabolic disorders in children. Therefore, it is particularly important to study the abnormal regulation of circulating miR-24-3p in obese children and its predictive value for metabolic syndrome. Methods: Serum samples were obtained from children with obesity ( n = 45), obese children with metabolic syndrome ( n = 52), and healthy controls ( n = 50). The expression levels of miR-24-3p were detected by reverse transcription quantitative PCR. The ROC curve was used to evaluate the diagnostic value of miR-24-3p. Pearson’s correlation analysis was performed to evaluate the relationship between serum miR-24-3p and different clinical parameters. Logistic regression analysis was used to evaluate the relationship between miR-24-3p and obesity with metabolic syndrome in children. Results: The expression of miR-24-3p was the highest in obese children with metabolic syndrome. ROC results showed that miR-24-3p had the ability to distinguish healthy individuals from obese children (area under the curve [AUC] = 0.951) and can predict the occurrence of metabolic syndrome for obese children (AUC = 0.890). The expression level of miR-24-3p was positively correlated with body mass index ( r = 0.817, p < 0.001), fasting blood glucose ( r = 0.798, p < 0.001), triglycerides ( r = 0.773, p < 0.001), systolic blood pressure ( r = 0.746, p < 0.001), and diastolic blood pressure ( r = 0.623, p < 0.001), respectively. Logistic regression analysis showed that miR-24-3p was an independent influence factor for the occurrence of metabolic syndrome in obese children. Discussion/Conclusion: MiR-24-3p is a potential noninvasive marker for children with obesity and has predictive value for the occurrence of metabolic syndrome.

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