F Marzano1, M F Faienza2, M F Caratozzolo1, G Brunetti3, M Chiara4, D S Horner4, A Annese1, A M D'Erchia1,5, A Consiglio6, G Pesole1, E Sbisà6, E Inzaghi7, S Cianfarani7,8, A Tullo1. 1. Institute of Biomembranes, Bioenergetics and Molecular Biotechnologies-IBIOM, CNR, Bari, Italy. 2. Department of Biomedical Sciences and Human Oncology, Section of Pediatrics, University of Bari "A. Moro,", Bari, Italy. 3. Department of Basic Medical Sciences, Neuroscience, and Sense Organs, Section of Human Anatomy and Histology, University of Bari "A. Moro", Bari, Italy. 4. Department of Biosciences, University of Milan, Milan, Italy. 5. Department of Bioscience, Biotechnology and Biopharmaceutics, University of Bari "Aldo Moro", Bari, Italy. 6. Institute for Biomedical Technologies of Bari - ITB, National Research Council, Bari, Italy. 7. Dipartimento Pediatrico Universitario Ospedaliero, "Bambino Gesu`" Children's Hospital - Tor Vergata University, Rome, Italy. 8. Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden.
Abstract
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.
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.
Authors: Lívia Reis Silva; Anderson Sanches Melo; Cristiana Libardi Miranda Furtado; Rui Alberto Ferriani; Karina Bezerra Salomão; Suleimy Cristina Mazin; Luiz Gonzaga Tone; Viviane Cunha Cardoso; Rosana Maria Dos Reis Journal: J Assist Reprod Genet Date: 2022-06-11 Impact factor: 3.357
Authors: Hwal Rim Jeong; Jae-A Han; Heeji Kim; Hye Jin Lee; Young Suk Shim; Min Jae Kang; Jong Seo Yoon; Seongho Ryu; Il Tae Hwang Journal: Genes (Basel) Date: 2022-05-24 Impact factor: 4.141
Authors: Elena Inzaghi; Anna Kistner; Daniela Germani; Annalisa Deodati; Mireille Vanpee; Lena Legnevall; Katarina Berinder; Stefano Cianfarani Journal: PLoS One Date: 2020-01-24 Impact factor: 3.240