A review of omics approaches to study preeclampsia.

Autor: Benny PA; University of Hawaii Cancer Center, Epidemiology, 701 Ilalo Street, Honolulu, HI, 96813, USA., Alakwaa FM; Department of Computational Medicine and Bioinformatics, North Campus Research Complex, University of Michigan, 1600 Huron Parkway, Ann Arbor, MI, 48105, USA., Schlueter RJ; Department of Obstetrics and Gynaecology, University of Hawaii, 1319 Punahou Street, Honolulu, HI, 96826, USA., Lassiter CB; University of Hawaii Cancer Center, Epidemiology, 701 Ilalo Street, Honolulu, HI, 96813, USA., Garmire LX; Department of Computational Medicine and Bioinformatics, North Campus Research Complex, University of Michigan, 1600 Huron Parkway, Ann Arbor, MI, 48105, USA. Electronic address: LGarmire@med.umich.edu.
Jazyk: angličtina
Zdroj: Placenta [Placenta] 2020 Mar; Vol. 92, pp. 17-27. Date of Electronic Publication: 2020 Jan 22.
DOI: 10.1016/j.placenta.2020.01.008
Abstrakt: Preeclampsia is a medical condition affecting 5-10% of pregnancies. It has serious effects on the health of the pregnant mother and developing fetus. While possible causes of preeclampsia are speculated, there is no consensus on its etiology. The advancement of big data and high-throughput technologies enables to study preeclampsia at the new and systematic level. In this review, we first highlight the recent progress made in the field of preeclampsia research using various omics technology platforms, including epigenetics, genome-wide association studies (GWAS), transcriptomics, proteomics and metabolomics. Next, we integrate the results in individual omic level studies, and show that despite the lack of coherent biomarkers in all omics studies, inhibin is a potential preeclamptic biomarker supported by GWAS, transcriptomics and DNA methylation evidence. Using network analysis on the biomarkers of all the literature reviewed here, we identify four striking sub-networks with clear biological functions supported by previous molecular-biology and clinical observations. In summary, omics integration approach offers the promise to understand molecular mechanisms in preeclampsia.
Competing Interests: Declaration of competing interest The authors declares no conflict of interest.
(Copyright © 2020 Elsevier Ltd. All rights reserved.)
Databáze: MEDLINE
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