Dysregulation of Circulating miR-24-3p in Children with Obesity and Its Predictive Value for Metabolic Syndrome

Abstract

<b><i>Introduction:</i></b> 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. <b><i>Methods:</i></b> Serum samples were obtained from children with obesity (<i>n</i> = 45), obese children with metabolic syndrome (<i>n</i> = 52), and healthy controls (<i>n</i> = 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. <b><i>Results:</i></b> 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 (<i>r</i> = 0.817, <i>p</i> < 0.001), fasting blood glucose (<i>r</i> = 0.798, <i>p</i> < 0.001), triglycerides (<i>r</i> = 0.773, <i>p</i> < 0.001), systolic blood pressure (<i>r</i> = 0.746, <i>p</i> < 0.001), and diastolic blood pressure (<i>r</i> = 0.623, <i>p</i> < 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. <b><i>Discussion/Conclusion:</i></b> MiR-24-3p is a potential noninvasive marker for children with obesity and has predictive value for the occurrence of metabolic syndrome.

Dysregulation of miR-335-5p in People with Obesity and its Predictive Value for Metabolic Syndrome

“…Obesity can be evaluated through the measurement of body fat using methods such as computed tomography, magnetic resonance imaging, DEXA, and positron emission tomography-CT8. Nonetheless, the excessive cost and constraints of these approaches make it difficult to employ these models for diagnosing obesity in a real-world clinical environment [22]. Obesity causes miRNA expression to become dysregulated in adipose tissue, and these changes in miRNA expression are connected to altered gene expression that contributes to the onset of insulin resistance [23].…”

“…Obesity can be evaluated through the measurement of body fat using methods such as computed tomography, magnetic resonance imaging, DEXA, and positron emission tomography-CT8. Nonetheless, the excessive cost and constraints of these approaches make it difficult to employ these models for diagnosing obesity in a real-world clinical environment 22 .…”

Biomarkers of obesity-mediated insulin resistance: focus on microRNAs

“…2). In recent years, many studies have extensively explored the role of miRNAs as biomarkers for predicting IR development in populations with obesity [62][63][64][65][66][67][68][69][70][71][72][73]. The downstream miRNA targets have also been investigated [74][75][76][77][78][79][80][81][82][83][84][85].…”

“…In recent clinical studies, some investigators have directly compared miRNAs differentially expressed in the peripheral blood of MAO and MHO individuals [62][63][64][65][66][67]. These studies have substantial implications for mining early biomarkers [62][63][64][65][66][67].…”

“…Several clinical studies have identified differentially expressed miRNAs [62][63][64]. In a study on 45 MAO and 42 MHO individuals, Ghorbani et al [63] observed that circulating miR-21 levels were significantly reduced in MAO individuals.…”