OBJECTIVE: The aim of this study was to characterize placenta-specific microRNAs in fetal growth restriction (FGR) pregnancy. METHOD: Placenta-specific miRNAs were identified by next-generation sequencing analysis. Subsequently, quantitative real-time reverse-transcription polymerase chain reaction was used to identify FGR placenta-specific miRNAs whose level of expression was significantly decreased in FGR placenta (n = 45) compared with uncomplicated placenta (n = 50). FGR pregnancy-associated, placenta-specific microRNAs were identified in maternal plasma after delivery at significantly decreased concentrations, and their circulating levels in maternal plasma was compared between FGR pregnancies (n = 10) and uncomplicated pregnancies (n = 10). RESULTS: Out of the ten placenta-specific microRNAs that we identified, seven placenta-specific microRNAs (hsa-miR-518b, hsa-miR-1323, hsa-miR-516b, hsa-miR-515-5p, hsa-miR-520h, hsa-miR-519d, and hsa-miR-526b) from the chromosome 19 microRNA cluster were identified as FGR placenta-specific microRNAs. Four FGR placenta-specific microRNAs (hsa-miR-518b, hsa-miR-1323, hsa-miR-520h, and hsa-miR-519d) were confirmed as FGR pregnancy-associated, placenta-specific miRNAs, but their circulating levels in maternal plasma showed no significant differences between FGR pregnancy and uncomplicated pregnancy. CONCLUSION: Our data suggest that reduced expression in placenta of certain FGR placenta-specific miRNAs is associated with FGR and that the discrepancy between expression in FGR placenta and their circulating levels in maternal plasma will be crucial to understanding how placenta-specific microRNAs are released into the maternal circulation.
OBJECTIVE: The aim of this study was to characterize placenta-specific microRNAs in fetal growth restriction (FGR) pregnancy. METHOD: Placenta-specific miRNAs were identified by next-generation sequencing analysis. Subsequently, quantitative real-time reverse-transcription polymerase chain reaction was used to identify FGR placenta-specific miRNAs whose level of expression was significantly decreased in FGR placenta (n = 45) compared with uncomplicated placenta (n = 50). FGR pregnancy-associated, placenta-specific microRNAs were identified in maternal plasma after delivery at significantly decreased concentrations, and their circulating levels in maternal plasma was compared between FGR pregnancies (n = 10) and uncomplicated pregnancies (n = 10). RESULTS: Out of the ten placenta-specific microRNAs that we identified, seven placenta-specific microRNAs (hsa-miR-518b, hsa-miR-1323, hsa-miR-516b, hsa-miR-515-5p, hsa-miR-520h, hsa-miR-519d, and hsa-miR-526b) from the chromosome 19 microRNA cluster were identified as FGR placenta-specific microRNAs. Four FGR placenta-specific microRNAs (hsa-miR-518b, hsa-miR-1323, hsa-miR-520h, and hsa-miR-519d) were confirmed as FGR pregnancy-associated, placenta-specific miRNAs, but their circulating levels in maternal plasma showed no significant differences between FGR pregnancy and uncomplicated pregnancy. CONCLUSION: Our data suggest that reduced expression in placenta of certain FGR placenta-specific miRNAs is associated with FGR and that the discrepancy between expression in FGR placenta and their circulating levels in maternal plasma will be crucial to understanding how placenta-specific microRNAs are released into the maternal circulation.
Authors: Rodosthenis S Rodosthenous; Heather H Burris; Alison P Sanders; Allan C Just; Alexandra E Dereix; Katherine Svensson; Maritsa Solano; Martha M Téllez-Rojo; Robert O Wright; Andrea A Baccarelli Journal: Epigenetics Date: 2017-09-26 Impact factor: 4.528
Authors: Caitlin G Howe; Helen B Foley; Elizabeth M Kennedy; Sandrah P Eckel; Thomas A Chavez; Dema Faham; Brendan H Grubbs; Laila Al-Marayati; Deborah Lerner; Shakira Suglia; Theresa M Bastain; Carmen J Marsit; Carrie V Breton Journal: Epigenetics Date: 2021-03-18 Impact factor: 4.528
Authors: Tania L Gonzalez; Laura E Eisman; Nikhil V Joshi; Amy E Flowers; Di Wu; Yizhou Wang; Chintda Santiskulvong; Jie Tang; Rae A Buttle; Erica Sauro; Ekaterina L Clark; Rosemarie DiPentino; Caroline A Jefferies; Jessica L Chan; Yayu Lin; Yazhen Zhu; Yalda Afshar; Hsian-Rong Tseng; Kent Taylor; John Williams; Margareta D Pisarska Journal: Epigenomics Date: 2021-05-25 Impact factor: 4.778
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