Dysregulation of Circulating miR-24-3p in Children with Obesity and Its Predictive Value for Metabolic Syndrome
| Autor: | Beibei Wang, Lingling Xing, Bingjin Zhang |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
medicine.medical_specialty
Pediatric Obesity obesity Health (social science) RC620-627 diagnosis Logistic regression Gastroenterology metabolic syndrome Physiology (medical) Internal medicine Medicine Humans TX341-641 Risk factor Child Nutritional diseases. Deficiency diseases business.industry Nutrition. Foods and food supply Area under the curve medicine.disease Obesity MicroRNAs Blood pressure Real-time polymerase chain reaction ROC Curve mir-24-3p Metabolic syndrome business Body mass index Biomarkers Research Article |
| Zdroj: | Obesity Facts, Pp 1-7 (2021) Obes Facts |
| Popis: | Introduction: 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. |
| Databáze: | OpenAIRE |
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