Pregnancy Health

Pregnancy Health is an active area of supported research in the lab. We use high dimensional multi-omic data to map molecular networks to understand normal pregnancy as well as changes associated with complications in an effort to identify risk factor and predict abnormal pregnancies well in advance of currently possible in the clinic. We have several on-going projects with both federal and private support, including:

Harnessing “omics”: A Systems Biology approach to discovery of biological pathways in placental development and parturition seeks to identify key genes and pathways associated with placental maturity that are quantifiable in maternal serum and urine, as well as to create a transcriptional regulatory network in the placenta using Transcriptional Regulatory Network Analysis (TRENA), which has been developed by the Price lab as part of the NIH Accelerating Medicines Program and a Big Data to Knowledge

Genetics Meets Metabolomics in Spontaneous Preterm Birth aims to leverage a multi-layered systems approach to uncover the genetic control of metabolic reprogramming in preterm birth. We are integrating targeted metabolites and SNPs as well as clinical factors and demographics from a nested case-control cohort of females drawn from a population of singleton pregnancies with live births in the state of California. We are extracting multimodal biological parameters that can estimate gestational age at the time of sampling and mechanistically depicting their biochemical interactions in preterm birth.

Recent Publications in Pregnancy Research:

Extracellular vesicle RNAs reflect placenta dysfunction and are a biomarker source for preterm labour. Fallen, S., Baxter, D., Wu, X., Kim, T.-K., Shynlova, O., Lee, M.Y., Scherler, K., Lye, S., Hood, L., Wang, K., 2018. J. Cell. Mol. Med.

Genomic and molecular characterization of preterm birth. Knijnenburg, T.A., Vockley, J.G., Chambwe, N., Gibbs, D.L., Humphries, C., Huddleston, K.C., Klein, E., Kothiyal, P., Tasseff, R., Dhankani, V., Bodian, D.L., Wong, W.S.W., Glusman, G., Mauldin, D.E., Miller, M., Slagel, J., Elasady, S., Roach, J.C., Kramer, R., Leinonen, K., Linthorst, J., Baveja, R., Baker, R., Solomon, B.D., Eley, G., Iyer, R.K., Maxwell, G.L., Bernard, B., Shmulevich, I., Hood, L., Niederhuber, J.E., 2019. Proc. Natl. Acad. Sci. 116, 5819.

Temporal transcriptomic analysis of metabolic genes in maternal organs and placenta during murine pregnancy. Paquette, A., Baloni, P., Holloman, A.B., Nigam, S., Bammler, T., Mao, Q., Price, N.D. Biol. Reprod, 2018.

Distinct communication patterns of trophoblastic miRNA among the maternal-placental-fetal compartments. Paquette, A., Chu, Tianjiao, Wu, Xiaogang, Wang, Kai, Price, Nathan, Sadovsky, Yoel. Placenta, 2018.

Comparative transcriptomic analysis of human placentae at term and preterm delivery. Paquette, A.G., Brockway, H.M., Price, N.D., Muglia, L.J. 2018, Biol. Reprod..

Comparative analysis of gene expression in maternal peripheral blood and monocytes during spontaneous preterm labor. Paquette, A.G., Shynlova, O., Kibschull, M., Price, N.D., Lye, S.J. Am. J. Obstet. Gynecol, 2018.

MicroRNA-transcriptome networks in whole blood and monocytes of women undergoing preterm labor. Paquette AG, Shynlova O, Wu X, PhD, Kibschull M, Wang K, Price ND, Lye SJ . Journal of Cellular and Molecular Medicine DOI:

Featured Projects

  • Pregnancy Health, from Bench to Bedside

    ISB is leading a comprehensive clinical study to tease out the intricacies of pregnancy as it progresses from conception to postpartum. In collaboration with Magee-Womens Health, ISB is collecting an exhaustive set of maternal and fetal health parameters — digital health, physiological, behavioral/contextual, molecular, clinical, and medical imaging measures — from multiple modalities and over the course of gestation.

  • Placenta and Preterm Birth

    ISB is using systems biology to map molecular network dynamics in normal pregnancy, as well as study changes that occur in pregnancies with complications such as preterm birth. By using a systems approach, we hope to gain a more comprehensive understanding of pathological changes that occur in pregnancy, and identify women most at risk of developing pregnancy complications.