BACKGROUND/AIMS: MicroRNA (miRNA) is a small non-coding RNA molecule that functions in regulation of gene expression by targeting mRNA to affect its stability and/or translation. The aim of this study was to evaluate the miRNAs involvement in gestational diabetes mellitus (GDM), a well known risk factor for fetal overgrowth. METHODS: Differential microRNA expression in placental tissues of normal controls and women with GDM were identified by miRNA micorarray analysis and further confirmed by quantitative real-time PCR (qRT-PCR) on an independent set of normal and GDM placental tissues. Target genes of microRNAs were bioinformatically predicted and verified in vitro by Western blotting. RESULTS: Our results uncovered 9 miRNAs that were significantly deregulated in GDM samples: miR-508-3p was up-regulated and miR-27a, miR-9, miR-137, miR-92a, miR-33a, miR-30d, miR-362-5p and miR-502-5p were down-regulated. Bioinformatic approaches revealed that the microRNAs signature identifies gene targets involved in EGFR (epidermal growth factor receptor)-PI3K (phosphoinositide 3-Kinase)-Akt (also known as protein kinase B) pathway, a signal cascade which plays important roles in placental development and fetal growth. We found that the protein levels of EGFR, PI3K and phospho-Akt were up-regulated and PIKfyve (a FYVE finger-containing phosphoinositide kinase), a negative regulator of EGFR signaling, was down-regulated significantly in GDM tissues. We also confirmed PIKfyve was a direct target of miR-508-3p. CONCLUSION: Our data identified a miRNA signature involvement in GDM which may contribute to macrosomia through enhancing EGFR signaling.
BACKGROUND/AIMS: MicroRNA (miRNA) is a small non-coding RNA molecule that functions in regulation of gene expression by targeting mRNA to affect its stability and/or translation. The aim of this study was to evaluate the miRNAs involvement in gestational diabetes mellitus (GDM), a well known risk factor for fetal overgrowth. METHODS: Differential microRNA expression in placental tissues of normal controls and women with GDM were identified by miRNA micorarray analysis and further confirmed by quantitative real-time PCR (qRT-PCR) on an independent set of normal and GDM placental tissues. Target genes of microRNAs were bioinformatically predicted and verified in vitro by Western blotting. RESULTS: Our results uncovered 9 miRNAs that were significantly deregulated in GDM samples: miR-508-3p was up-regulated and miR-27a, miR-9, miR-137, miR-92a, miR-33a, miR-30d, miR-362-5p and miR-502-5p were down-regulated. Bioinformatic approaches revealed that the microRNAs signature identifies gene targets involved in EGFR (epidermal growth factor receptor)-PI3K (phosphoinositide 3-Kinase)-Akt (also known as protein kinase B) pathway, a signal cascade which plays important roles in placental development and fetal growth. We found that the protein levels of EGFR, PI3K and phospho-Akt were up-regulated and PIKfyve (a FYVE finger-containing phosphoinositide kinase), a negative regulator of EGFR signaling, was down-regulated significantly in GDM tissues. We also confirmed PIKfyve was a direct target of miR-508-3p. CONCLUSION: Our data identified a miRNA signature involvement in GDM which may contribute to macrosomia through enhancing EGFR signaling.
Authors: Pandora L Wander; Edward J Boyko; Karin Hevner; Viraj J Parikh; Mahlet G Tadesse; Tanya K Sorensen; Michelle A Williams; Daniel A Enquobahrie Journal: Diabetes Res Clin Pract Date: 2017-07-25 Impact factor: 5.602
Authors: Jeanie B Tryggestad; Anu Vishwanath; Shaoning Jiang; Ashwini Mallappa; April M Teague; Yusuke Takahashi; David M Thompson; Steven D Chernausek Journal: Clin Sci (Lond) Date: 2016-08-25 Impact factor: 6.124
Authors: Amy E Flowers; Tania L Gonzalez; Nikhil V Joshi; Laura E Eisman; Ekaterina L Clark; Rae A Buttle; Erica Sauro; Rosemarie DiPentino; Yayu Lin; Di Wu; Yizhou Wang; Chintda Santiskulvong; Jie Tang; Bora Lee; Tianyanxin Sun; Jessica L Chan; Erica T Wang; Caroline Jefferies; Kate Lawrenson; Yazhen Zhu; Yalda Afshar; Hsian-Rong Tseng; John Williams; Margareta D Pisarska Journal: Biol Reprod Date: 2022-03-19 Impact factor: 4.161
Authors: Elizabeth M Kennedy; Karen Hermetz; Amber Burt; Todd M Everson; Maya Deyssenroth; Ke Hao; Jia Chen; Margaret R Karagas; Dong Pei; Devin C Koestler; Carmen J Marsit Journal: Epigenetics Date: 2020-10-04 Impact factor: 4.528