Bacterial and cytokine mixtures predict the length of gestation and are associated with miRNA expression in the cervix

Alison P. Sanders, Chris Gennings, Katherine Svensson, Valeria Motta, Adriana Mercado-Garcia, Maritsa Solano, Andrea A. Baccarelli, Martha M. Tellez-Rojo, Robert O. Wright, Heather H. Burris

Research output: Contribution to journalArticle

Abstract

Aim: Bacterial vaginosis may lead to preterm birth through epigenetic programming of the inflammatory response, specifically via miRNA expression. Methods: We quantified bacterial 16S rRNA, cytokine mRNA and 800 miRNA from cervical swabs obtained from 80 women at 16-19 weeks' gestation. We generated bacterial and cytokine indices using weighted quantile sum regression and examined associations with miRNA and gestational age at delivery. Results & discussion: Each decile of the bacterial and cytokine indices was associated with shorter gestations (p < 0.005). The bacterial index was associated with miR-494, 371a, 4286, 185, 320e, 888 and 23a (p < 0.05). miR-494 remained significant after false discovery rate correction (q < 0.1). The cytokine index was associated with 27 miRNAs (p < 0.05; q < 0.01). Conclusion: Future investigation into the role of bacterial vaginosis- and inflammation-associated miRNA and preterm birth is warranted.

Original languageEnglish
Pages (from-to)33-45
Number of pages13
JournalEpigenomics
Volume9
Issue number1
DOIs
Publication statusPublished - Jan 1 2017

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Keywords

  • bacterial vaginosis
  • cervix
  • cytokines
  • miRNA
  • preterm birth

ASJC Scopus subject areas

  • Genetics
  • Cancer Research

Cite this

Sanders, A. P., Gennings, C., Svensson, K., Motta, V., Mercado-Garcia, A., Solano, M., Baccarelli, A. A., Tellez-Rojo, M. M., Wright, R. O., & Burris, H. H. (2017). Bacterial and cytokine mixtures predict the length of gestation and are associated with miRNA expression in the cervix. Epigenomics, 9(1), 33-45. https://doi.org/10.2217/epi-2016-0095