Exosomal miRNA Profile in Small-for-Gestational-Age Children: A Potential Biomarker for Catch-Up Growth
- Abstract
- Objective: The mechanism underlying postnatal growth failure and catch-up growth in small-for-gestational-age (SGA) children is poorly understood. This study investigated the exosomal miRNA signature associated with catch-up growth in SGA children. Methods: In total, 16 SGA and 10 appropriate-for-gestational-age (AGA) children were included. Serum exosomal miRNA was analyzed using next-generation sequencing (NGS). Exosomal miRNA was profiled for five SGA children with catch-up growth (SGA-CU), six SGA children without CU growth (SGA-nCU), and five AGA children. Results: Exosomal miRNA profiles were clustered into three clear groups. The exosomal miRNA expression profiles of the SGA-nCU group differed from those of the SGA-CU and AGA groups. In all, 22 miRNAs were differentially expressed between SGA-nCU and AGA, 19 between SGA-nCU and SGA-CU, and only 6 between SGA-CU and AGA. In both SGA-nCU and SGA-CU, miR-874-3p was upregulated and miR-6126 was downregulated. Therefore, these two miRNAs could serve as biomarkers for SGA. Compared with SGA-CU and AGA, miR-30c-5p, miR-363-3p, miR-29a-3p, and miR-29c-3p were upregulated in SGA-nCU, while miR-629-5p and miR-23a-5p were downregulated. These six miRNAs could be associated with growth failure in SGA-nCU children. Conclusions: SGA children without CU have a distinct exosomal miRNA expression profile compared with AGA and SGA children with CU. Exosomal miRNAs could serve as novel biomarkers for CU.
- All Author(s)
- H. R. Jeong
; J. A. Han
; H. Kim
; H. J. Lee
; Y. S. Shim
; M. J. Kang
; J. S. Yoon
; S. Ryu
; I. T. Hwang
- Issued Date
- 2022
- Type
- Article
- Keyword
- SGA; catch-up growth; miRNA; exosome
- Publisher
- Molecular Diversity Preservation International
- ISSN
- 2073-4425
- Citation Title
- Genes
- Citation Volume
- 13
- Citation Number
- 6
- Citation Start Page
- 938
- Citation End Page
- 938
- Language(ISO)
- eng
- DOI
- 10.3390/genes13060938
- URI
- http://schca-ir.schmc.ac.kr/handle/2022.oak/2820
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