Issue 6, 2020

Unveiling molecular signatures of preeclampsia and gestational diabetes mellitus with multi-omics and innovative cheminformatics visualization tools

Abstract

To fully enable the development of diagnostic tools and progressive pharmaceutical drugs, it is imperative to understand the molecular changes occurring before and during disease onset and progression. Systems biology assessments utilizing multi-omic analyses (e.g. the combination of proteomics, lipidomics, genomics, etc.) have shown enormous value in determining molecules prevalent in diseases and their associated mechanisms. Herein, we utilized multi-omic evaluations, multi-dimensional analysis methods, and new cheminformatics-based visualization tools to provide an in depth understanding of the molecular changes taking place in preeclampsia (PRE) and gestational diabetes mellitus (GDM) patients. Since PRE and GDM are two prevalent pregnancy complications that result in adverse health effects for both the mother and fetus during pregnancy and later in life, a better understanding of each is essential. The multi-omic evaluations performed here provide new insight into the end-stage molecular profiles of each disease, thereby supplying information potentially crucial for earlier diagnosis and treatments.

Graphical abstract: Unveiling molecular signatures of preeclampsia and gestational diabetes mellitus with multi-omics and innovative cheminformatics visualization tools

Supplementary files

Article information

Article type
Research Article
Submitted
18 Jun 2020
Accepted
04 Sep 2020
First published
08 Sep 2020

Mol. Omics, 2020,16, 521-532

Author version available

Unveiling molecular signatures of preeclampsia and gestational diabetes mellitus with multi-omics and innovative cheminformatics visualization tools

M. T. Odenkirk, K. G. Stratton, M. A. Gritsenko, L. M. Bramer, B. M. Webb-Robertson, K. J. Bloodsworth, K. K. Weitz, A. K. Lipton, M. E. Monroe, J. R. Ash, D. Fourches, B. D. Taylor, K. E. Burnum-Johnson and E. S. Baker, Mol. Omics, 2020, 16, 521 DOI: 10.1039/D0MO00074D

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