Evidence map›Paper›PMID 32966491›Full record

ArticleMolecular omics2020

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

Melanie T Odenkirk, Kelly G Stratton, Marina A Gritsenko, Lisa M Bramer, Bobbie-Jo M Webb-Robertson, Kent J Bloodsworth, Karl K Weitz, Anna K Lipton, Matthew E Monroe, Jeremy R Ash and 4 more

Open access · greenAbstract read
In one paragraph

Article in Molecular omics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.6field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 31 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Review
  9. Article
  10. Tracing the Lipid Fingerprints of Preeclampsia.Reproductive sciences (Thousand Oaks, Calif.) · 2025
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Review
  18. Review
  19. Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 3 institutions in 2 countries.

Melanie T OdenkirkDepartment of Chemistry, North Carolina State University, Raleigh, NC 27695, USA. dfourch@ncsu.edu ebaker@ncsu.edu.
Kelly G Stratton
Marina A Gritsenko
Lisa M Bramer
Bobbie-Jo M Webb-Robertson
Kent J Bloodsworth
Karl K Weitz
Anna K Lipton
Matthew E Monroe
Jeremy R Ash
Denis Fourches
Brandie D Taylor
Kristin E Burnum-Johnson
Erin S Baker
Richland College · USNorth Carolina State University · USTemple College · US

Funding

Single cell, multi-parametric high throughput platform to classify endocrine disruptor potential of mixturesP42ES027704 · NIEHS · TEXAS A&M UNIVERSITY · PI Weihsueh A Chiu · 2017 to 2026
$21.2M
Translational Research Support CoreP30ES025128 · NIEHS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI Sue Fenton · 2015 to 2026
$18.3M
Uncovering the Mechanisms of PFAS-induced ImmunotoxicityP42ES031009 · NIEHS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI HOPPIN, JANE · 2020 to 2024
$9.3M
Pan-omic characterization of the molecular determinants of uterine receptivityR21HD084788 · NICHD · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI BURNUM-JOHNSON, KRISTIN · 2016 to 2017
$509k
NICHD NIH HHS R21 HD084788NIEHS NIH HHS P30 ES025128NIEHS NIH HHS P42 ES027704NIEHS NIH HHS P42 ES031009
6 · The paper itself

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.

Indexed as

GenomicsCase-Control StudiesDiabetes, GestationalFemaleHumansLipidomicsMetabolic Networks and PathwaysPre-EclampsiaPregnancy

Identifiers

PMID32966491
PMCPMC7736332
OpenAlexW3083868889

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.