Early first trimester peripheral blood cell microRNA predicts risk of preterm delivery in pregnant women: Proof of concept

PLoS One. 2017 Jul 10;12(7):e0180124. doi: 10.1371/journal.pone.0180124. eCollection 2017.

Abstract

Objective: We investigated the capacity of first trimester peripheral blood mononuclear cell (PBMC) microRNA to determine risk of spontaneous preterm birth among pregnant women.

Study design: The study included 39 pregnant women with the following delivery outcomes: 25 with a full term delivery (38-42 weeks gestation) 14 with spontaneous preterm birth (<38 weeks gestation). Of the 14 women experiencing spontaneous preterm birth, 7 delivered at 34-<38 weeks gestation (late preterm) and 7 delivered at <34 weeks gestation (early preterm). Samples were collected at a mean of 7.9±3.0 weeks gestation. Quantitative rtPCR was performed on 30 selected microRNAs. MicroRNA Risk Scores were calculated and Area-Under the Curve-Receiver-Operational-Characteristic (AUC-ROC) curves derived.

Results: The AUC-ROC for the group delivering preterm (<38 weeks) was 0.95 (p>0.0001). The AUC-ROC for early preterm group (<34 weeks) was 0.98 (p<0.0001) and the AUC-ROC for the late preterm group (34-<38 weeks) was 0.92 (p<0.0001).

Conclusion: Quantification of first trimester peripheral blood PBMC MicroRNA may provide sensitive and specific prediction of spontaneous preterm birth in pregnant women. Larger studies are needed for confirmation.

MeSH terms

  • Adult
  • Algorithms
  • Area Under Curve
  • Delivery, Obstetric*
  • Female
  • Gestational Age
  • Humans
  • Leukocytes, Mononuclear / metabolism*
  • MicroRNAs / blood*
  • Pregnancy
  • Pregnancy Trimester, First / blood*
  • Premature Birth / blood*
  • ROC Curve
  • Reproducibility of Results
  • Risk Assessment
  • Risk Factors

Substances

  • MicroRNAs

Grants and funding

The authors received no specific funding for this work.