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

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 wi...

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Veröffentlicht in:Obesity Facts 2021-10, Vol.14 (5), p.456-462
Hauptverfasser: Zhang, Bingjin, Xing, Lingling, Wang, Beibei
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description 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.
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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 &lt; 0.001), fasting blood glucose (r = 0.798, p &lt; 0.001), triglycerides (r = 0.773, p &lt; 0.001), systolic blood pressure (r = 0.746, p &lt; 0.001), and diastolic blood pressure (r = 0.623, p &lt; 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. 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Karger AG</publisher><subject>Biomarkers ; Blood pressure ; Body mass index ; Child ; Cholesterol ; Complications and side effects ; Correlation analysis ; Demographic aspects ; Diabetes ; Diagnosis ; Females ; Gene expression ; Guardians ; Health aspects ; Health care ; High density lipoprotein ; Humans ; Metabolic diseases ; Metabolic syndrome ; Metabolic Syndrome - complications ; Metabolic Syndrome - diagnosis ; Metabolic Syndrome - genetics ; MicroRNA ; MicroRNAs ; MicroRNAs - genetics ; mir-24-3p ; Obesity ; Obesity in children ; Pediatric Obesity - complications ; Pediatric Obesity - diagnosis ; Pediatric Obesity - genetics ; Research Article ; Risk factors ; ROC Curve ; Sample size ; Software ; Value analysis</subject><ispartof>Obesity Facts, 2021-10, Vol.14 (5), p.456-462</ispartof><rights>2021 The Author(s) Published by S. Karger AG, Basel</rights><rights>2021 The Author(s) Published by S. Karger AG, Basel.</rights><rights>COPYRIGHT 2021 S. 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Karger AG, Basel 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c585t-d390540eda88c7f223753a08d02c57a01f7df2a81b5b39669df03650bd5ccef53</citedby><cites>FETCH-LOGICAL-c585t-d390540eda88c7f223753a08d02c57a01f7df2a81b5b39669df03650bd5ccef53</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8546450/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8546450/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,27612,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34428771$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zhang, Bingjin</creatorcontrib><creatorcontrib>Xing, Lingling</creatorcontrib><creatorcontrib>Wang, Beibei</creatorcontrib><title>Dysregulation of Circulating miR-24-3p in Children with Obesity and Its Predictive Value for Metabolic Syndrome</title><title>Obesity Facts</title><addtitle>Obes Facts</addtitle><description>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. 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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 &lt; 0.001), fasting blood glucose (r = 0.798, p &lt; 0.001), triglycerides (r = 0.773, p &lt; 0.001), systolic blood pressure (r = 0.746, p &lt; 0.001), and diastolic blood pressure (r = 0.623, p &lt; 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.</abstract><cop>Basel, Switzerland</cop><pub>S. Karger AG</pub><pmid>34428771</pmid><doi>10.1159/000515720</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record>
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subjects Biomarkers
Blood pressure
Body mass index
Child
Cholesterol
Complications and side effects
Correlation analysis
Demographic aspects
Diabetes
Diagnosis
Females
Gene expression
Guardians
Health aspects
Health care
High density lipoprotein
Humans
Metabolic diseases
Metabolic syndrome
Metabolic Syndrome - complications
Metabolic Syndrome - diagnosis
Metabolic Syndrome - genetics
MicroRNA
MicroRNAs
MicroRNAs - genetics
mir-24-3p
Obesity
Obesity in children
Pediatric Obesity - complications
Pediatric Obesity - diagnosis
Pediatric Obesity - genetics
Research Article
Risk factors
ROC Curve
Sample size
Software
Value analysis
title Dysregulation of Circulating miR-24-3p in Children with Obesity and Its Predictive Value for Metabolic Syndrome
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