小于胎龄
医学
小RNA
肥胖
胰岛素抵抗
内科学
胎龄
生物信息学
内分泌学
怀孕
基因
生物
遗传学
作者
Flaviana Marzano,Maria Felicia Faienza,Mariano Francesco Caratozzolo,Giacomina Brunetti,Matteo Chiara,David S. Horner,Anita Annese,Anna Maria D’Erchia,Arianna Consiglio,Graziano Pesole,Elisabetta Sbisà,Elena Inzaghi,Stefano Cianfarani,Apollonia Tullo
摘要
Summary Background Children born small for gestational age (SGA) are at increased risk of metabolic dysfunction. Dysregulation of specific microRNAs (miRNAs) contributes to aberrant gene expression patterns underlying metabolic dysfunction. Objective We aimed to determine and compare circulating miRNA (c‐miRNA) profile of SGA and appropriate for gestational age (AGA) children with obesity and with normal weight, in order to identify biomarkers for early detection of increased risk of developing metabolic dysfunction in SGA and AGA children with obesity. Methods Small non‐coding RNAs from serum of 15 SGA children with obesity (OB‐SGA), 10 SGA children with normal weight (NW‐SGA), 17 AGA children with obesity (OB‐AGA) and 12 AGA children with normal weight (NW‐AGA) (mean age 11.2 ± 2.6) have been extracted and sequenced in order to detect and quantify miRNA expression profiles. Results RNA‐seq analyses showed 28 miRNAs dysregulated in OB‐SGA vs. NW‐SGA and 19 miRNAs dysregulated in OB‐AGA vs. NW‐AGA. Among these, miR‐92a‐3p, miR‐122‐5p, miR‐423‐5p, miR‐484, miR‐486‐3p and miR‐532‐5p were up regulated, and miR‐181b‐5p was down regulated in both OB‐SGA and OB‐AGA compared with normal weight counterparts. Pathway analysis and miRNA target prediction suggested that these miRNAs were particularly involved in insulin signalling, glucose transport, insulin resistance, cholesterol and lipid metabolism. Conclusion We identified a specific profile of c‐miRNAs in SGA and AGA children with obesity compared with SGA and AGA children with normal weight. These c‐miRNAs could represent specific biomarkers for early detection of increased risk of developing metabolic dysfunction in SGA and AGA children with obesity.
科研通智能强力驱动
Strongly Powered by AbleSci AI