Evidence map›Paper›PMID 26891737›Full record

ArticleJournal of lipid research2016

Detection and confirmation of serum lipid biomarkers for preeclampsia using direct infusion mass spectrometry.

Swati Anand, SydneyA Young, M Sean Esplin, Benjamin Peaden, H Dennis Tolley, T Flint Porter, Michael W Varner, Mary E D'Alton, Bruce J Jackson, Steven W Graves

Open access · hybridAbstract read
In one paragraph

Article in Journal of lipid research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 3 pooled it
9.4field-weighted citation impact, top 2% 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

31 citing papers in PubMed, 3 syntheses or guidelines pooled it, 62 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Trial
  6. Article
  7. Metabolomics and Biomarker Discovery.Advances in experimental medicine and biology · 2026
    Review
  8. Article
  9. Review
  10. Tracing the Lipid Fingerprints of Preeclampsia.Reproductive sciences (Thousand Oaks, Calif.) · 2025
    Review
  11. Article
  12. Review
  13. APOA1 Is a Novel Marker for Preeclampsia.International journal of molecular sciences · 2023
    Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Mass Spectrometry-based Metabolomics in Translational Research.Advances in experimental medicine and biology · 2021
    Review
  19. Article
  20. Article
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

10 authors at 4 institutions in 1 country.

Swati AnandDepartments of Chemistry and Biochemistry, Brigham Young University, Provo, UT.
SydneyA YoungDepartments of Chemistry and Biochemistry, Brigham Young University, Provo, UT.
M Sean EsplinMaternal Fetal Medicine, Intermountain Healthcare, Salt Lake City, UT Department of Obstetrics and Gynecology, University of Utah Health Sciences Center, Salt Lake City, UT.
Benjamin PeadenStatistics, Brigham Young University, Provo, UT.
H Dennis TolleyStatistics, Brigham Young University, Provo, UT.
T Flint PorterMaternal Fetal Medicine, Intermountain Healthcare, Salt Lake City, UT Department of Obstetrics and Gynecology, University of Utah Health Sciences Center, Salt Lake City, UT.
Michael W VarnerDepartment of Obstetrics and Gynecology, University of Utah Health Sciences Center, Salt Lake City, UT Maternal Fetal Medicine, Intermountain Healthcare, Salt Lake City, UT.
Mary E D'AltonDepartment of Obstetrics and Gynecology, Columbia University School of Medicine, New York, NY.
Bruce J JacksonDepartments of Chemistry and Biochemistry, Brigham Young University, Provo, UT.
Steven W GravesDepartments of Chemistry and Biochemistry, Brigham Young University, Provo, UT swgraves@chem.byu.edu.
Brigham Young University · USIntermountain Healthcare · USColumbia University · USUniversity of Utah · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite substantial research, the early diagnosis of preeclampsia remains elusive. Lipids are now recognized to be involved in regulation and pathophysiology of some disease. Shotgun lipidomic studies were undertaken to determine whether serum lipid biomarkers exist that predict preeclampsia later in the same in pregnancy. A discovery study was performed using sera collected at 12-14 weeks pregnancy from 27 controls with uncomplicated pregnancies and 29 cases that later developed preeclampsia. Lipids were extracted and analyzed by direct infusion into a TOF mass spectrometer. MS signals, demonstrating apparent differences were selected, their abundances determined, and statistical differences tested. Statistically significant lipid markers were reevaluated in a second confirmatory study having 43 controls and 37 preeclampsia cases. Multi-marker combinations were developed using those lipid biomarkers confirmed in the second study. The initial study detected 45 potential preeclampsia markers. Of these, 23 markers continued to be statistically significant in the second confirmatory set. Most of these markers, representing several lipid classes, were chemically characterized, typically providing lipid class and potential molecular components using MS(2) Several multi-marker panels with areas under the curve >0.85 and high predictive values were developed. Developed panels of serum lipidomic biomarkers appear to be able to identify most women at risk for preeclampsia in a given pregnancy at 12-14 weeks gestation.

Indexed as

AdultBiomarkersBlood Chemical AnalysisFemaleHumansLipidsMass SpectrometryPre-EclampsiaPregnancyReproducibility of ResultsBiomarkersLipidsdiagnosislipidomicslipidsmass spectrometerpregnancy

Identifiers

PMID26891737
PMCPMC4808777
OpenAlexW2275280366

What OpenQuestion holds

Textmetadata
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.