Investigation of umbilical cord serum <scp>miRNAs</scp> associated with childhood obesity: A pilot study from a birth cohort study

Takatani, Rieko; Yoshioka, Yusuke; Takahashi, Toru; Watanabe, Masahiro; Hisada, Aya; Yamamoto, Midori; Sakurai, Kenichi; Takatani, Tomozumi; Shimojo, Naoki; Sano, Kentaro; Ochiya, Takahiro; Mori, Chisato

doi:10.1111/jdi.13863

Cited by 2 publications

(1 citation statement)

References 24 publications

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“…None of the studies involving the aforementioned screened miRNAs have been reported in the PCOS field. It should be noted that miR-130a-3p levels are higher in children at high risk of obesity than in those at low risk [21] . Hence, it is thought that these 11 miRNAs might be potential targets for PCOS study in the future.…”

Section: Discussionmentioning

confidence: 99%

Identifying miRNA biomarkers of polycystic ovary syndrome through text mining

Wang¹,

Yuan²,

Zhao

2022

Reproductive and Developmental Medicine

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Objective: Polycystic ovary syndrome (PCOS) is an endocrine disorder with diverse clinical manifestations that often occurs in women of childbearing age. However, its molecular pathogenesis remains unclear, and this study aimed to identify miRNA targets in PCOS through text mining and database analysis. Methods: First, three different sets of text mining genes (TMGs) associated with “polycystic ovary syndrome”, “obesity/adiposis”, and “anovulation” keywords were retrieved from the GenCLiP3 database, and overlapping genes were selected. Second, Gene ontology annotation and biological pathway enrichment analyses of these overlapping TMGs were performed, followed by protein–protein interaction (PPI) network analysis. Third, genes in the gene module clustered in the PPI were selected to predict potential miRNAs for PCOS via miRNA-mRNA analysis. Results: A total of 4291 TMGs related to three different keywords were obtained through text mining; 72 intersect TMGs were retained among the three gene sets, and 62 TMGs participated in the establishment of the PPI network, of which 18 were aggregated in the gene module. Finally, 11 miRNAs that simultaneously bound to two TMGs (IGF1, ESR1, MAPK1, NAMPT, PIK3CA, and SERPINE1) could be prioritized as targets to study PCOS. Conclusion(s): The discovery of 11 miRNAs (miR-301a-3p, miR-301b-3p, miR-3666, miR-454-3p, miR-130a-3p, miR-130b-3p, miR-4295, miR-190a-3p, miR-5011-5p, miR-548c-3p, and miR-4799-5p) and 6 TMGs, which are associated with the HIF-1 signaling pathway (P = 4.799E-08), could be used as potential targets for PCOS.

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Section: Discussionmentioning

confidence: 99%

Identifying miRNA biomarkers of polycystic ovary syndrome through text mining

Wang¹,

Yuan²,

Zhao

2022

Reproductive and Developmental Medicine

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Childhood obesity, metabolic syndrome, and oxidative stress: microRNAs go on stage

González-Domínguez,

Belmonte,

González-Domínguez

2023

Rev Endocr Metab Disord

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The incidence of childhood obesity and metabolic syndrome has grown notably in the last years, becoming major public health burdens in developed countries. Nowadays, oxidative stress is well-recognized to be closely associated with the onset and progression of several obesity-related complications within the framework of a complex crosstalk involving other intertwined pathogenic events, such as inflammation, insulin disturbances, and dyslipidemia. Thus, understanding the molecular basis behind these oxidative dysregulations could provide new approaches for the diagnosis, prevention, and treatment of childhood obesity and associated disorders. In this respect, the transcriptomic characterization of miRNAs bares great potential because of their involvement in post-transcriptional modulation of genetic expression. Herein, we provide a comprehensive literature revision gathering state-of-the-art research into the association between childhood obesity, metabolic syndrome, and miRNAs. We put special emphasis on the potential role of miRNAs in modulating obesity-related pathogenic events, with particular focus on oxidative stress.

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Investigation of umbilical cord serum miRNAs associated with childhood obesity: A pilot study from a birth cohort study

Cited by 2 publications

References 24 publications

Identifying miRNA biomarkers of polycystic ovary syndrome through text mining

Identifying miRNA biomarkers of polycystic ovary syndrome through text mining

Childhood obesity, metabolic syndrome, and oxidative stress: microRNAs go on stage

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