Placental transcriptomic signatures of spontaneous preterm birth

Spontaneous preterm birth accounts for most preterm births and leads to significant morbidity in the newborn and childhood period. This subtype of preterm birth represents an increasing proportion of all preterm births when compared with medically indicated preterm birth, yet it is understudied in o...

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Veröffentlicht in:American journal of obstetrics and gynecology 2023-01, Vol.228 (1), p.73.e1-73.e18
Hauptverfasser: Paquette, Alison G., MacDonald, James, Bammler, Theo, Day, Drew B., Loftus, Christine T., Buth, Erin, Mason, W. Alex, Bush, Nicole R., Lewinn, Kaja Z., Marsit, Carmen, Litch, James A., Gravett, Michael, Enquobahrie, Daniel A., Sathyanarayana, Sheela
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Sprache:eng
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Zusammenfassung:Spontaneous preterm birth accounts for most preterm births and leads to significant morbidity in the newborn and childhood period. This subtype of preterm birth represents an increasing proportion of all preterm births when compared with medically indicated preterm birth, yet it is understudied in omics analyses. The placenta is a key regulator of fetal and newborn health, and the placental transcriptome can provide insight into pathologic changes that lead to spontaneous preterm birth. This analysis aimed to identify genes for which placental expression was associated with spontaneous preterm birth (including early preterm and late preterm birth). The ECHO PATHWAYS consortium extracted RNA from placental samples collected from the Conditions Affecting Neurocognitive Development and Learning in Early Childhood and the Global Alliance to Prevent Prematurity and Stillbirth studies. Placental transcriptomic data were obtained by RNA sequencing. Linear models were fit to estimate differences in placental gene expression between term birth and spontaneous preterm birth (including gestational age subgroups defined by the American College of Obstetricians and Gynecologists). Models were adjusted for numerous confounding variables, including labor status, cohort, and RNA sequencing batch. This analysis excluded patients with induced labor, chorioamnionitis, multifetal gestations, or medical indications for preterm birth. Our combined cohort contained gene expression data for 14,023 genes in 48 preterm and 540 term samples. Genes and pathways were considered statistically significantly different at false discovery rate–adjusted P value of
ISSN:0002-9378
1097-6868
DOI:10.1016/j.ajog.2022.07.015