Evidence map›Paper›PMID 28457845›Full record

ReviewBiochimica et biophysica acta. Molecular and cell biology of lipids2017

The evolution of lipidomics through space and time.

Richard W Gross

Abstract readReview
In one paragraph

Review in Biochimica et biophysica acta. Molecular and cell biology of lipids, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Plasma lipidomics of monozygotic twins discordant for multiple sclerosis.Annals of clinical and translational neurology · 2020
    Article
  12. Chemical Discovery in the Era of Metabolomics.Journal of the American Chemical Society · 2020
    Review
  13. Article
  14. Tear Metabolomics in Dry Eye Disease: A Review.International journal of molecular sciences · 2019
    Review
  15. The role of lipids in α-synuclein misfolding and neurotoxicity.The Journal of biological chemistry · 2019
    Review
  16. Article
  17. Article
  18. 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

1 author.

Richard W GrossDivision of Bioorganic Chemistry & Molecular Pharmacology, Department of Medicine, Washington University School of Medicine, 660 South Euclid Avenue, Campus Box 8020, Saint Louis, MO 63110, USA; Department of Developmental Biology, Washington University School of Medicine, Saint Louis, MO 63110, USA; Department of Chemistry, Washington University, Saint Louis, MO 63130, USA. Electronic address: rgross@wustl.edu.

Funding

REGULATION OF MYOCARDIAL PHOSPHOLIPASES AND LIPASES IN DIABETIC MYOCARDIUMR01HL118639 · NHLBI · WASHINGTON UNIVERSITY · PI GROSS, RICHARD W · 2013 to 2025
$9.1M
NOVEL LIPID 2ND MESSENGERS REGULATING BIOENERGETICS AND SIGNALING IN HUMAN MYOCARDIUMR01HL133178 · NHLBI · WASHINGTON UNIVERSITY · PI GROSS, RICHARD W · 2016 to 2024
$3.8M
NHLBI NIH HHS R01 HL118639NHLBI NIH HHS R01 HL133178
6 · The paper itself

Abstract

Although the foundations of mass spectrometry-based lipidomics have been practiced for over 30 years, recent technological advances in ionization modalities in conjunction with robust increases in mass accuracy and resolution have greatly accelerated the emergence, growth and importance of the field of lipidomics. Moreover, advances in the separation sciences, bioinformatic strategies and the availability of robust databases have been synergistically integrated into modern lipidomic technologies leading to unprecedented improvements in the depth, penetrance and precision of lipidomic analyses and identification of their biological and mechanistic significance. The purpose of this "opinion" article is to briefly review the evolution of lipidomics, critique the platforms that have evolved and identify areas that are likely to emerge in the years to come. Through seamlessly integrating a rich repertoire of mass spectrometric, chemical and bioinformatic strategies, the chemical identities and quantities of tens of thousands to hundreds of thousands of different lipid molecular species and their metabolic alterations during physiologic or pathophysiologic perturbations can be obtained. Thus, the field of lipidomics which already has a distinguished history of exciting new discoveries in many disease states holds unparalleled potential to identify the pleiotropic roles of lipids in health and disease at the chemical level. This article is part of a Special Issue entitled: BBALIP_Lipidomics Opinion Articles edited by Sepp Kohlwein.

Indexed as

AnimalsChromatography, High Pressure LiquidComputational BiologyHumansLipid MetabolismLipidsMetabolomicsSpectrometry, Mass, Electrospray IonizationLipidsCharge-switch derivativesLipidomicsMass spectrometryReverse lipidomicsShotgun lipidomics

Identifiers

PMID28457845
PMCPMC5501277

What OpenQuestion holds

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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.