Evidence map›Paper›PMID 29374337›Full record

ReviewClinical and translational medicine2018

Lipidomics unveils the complexity of the lipidome in metabolic diseases.

Todd A Lydic, Young-Hwa Goo

Abstract readReview
In one paragraph

Review in Clinical and translational medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
80citing 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

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

  1. Pooled it
  2. Trial
  3. Trial
  4. Lipid metabolism in moyamoya disease: Emerging evidence, vascular remodeling, and therapeutic implications.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Review
  5. Review
  6. Article
  7. Article
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  10. Review
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  14. Simultaneously blocking ANGPTL3 and IL-1β for the treatment of atherosclerosis through lipid-lowering and anti-inflammation.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2024
    Article
  15. Article
  16. Article
  17. LC/MS-Based Untargeted Lipidomics Reveals Lipid Signatures of Sarcopenia.International journal of molecular sciences · 2024
    Article
  18. Article
  19. Lipidomic signatures in Colombian adults with metabolic syndrome.Journal of diabetes and metabolic disorders · 2024
    Article
  20. Article

20 more citing papers are in PubMed but not listed here.

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

2 authors.

Todd A LydicDepartment of Physiology, Michigan State University, East Lansing, MI, 48824, USA. lydictod@msu.edu.
Young-Hwa GooDepartment of Molecular and Cellular Physiology, Albany Medical College, 47 New Scotland Avenue, Albany, NY, 12208, USA. gooy@amc.edu.ORCID http://orcid.org/0000-0003-1680-1569

Funding

American Heart Association 14SDG19690016American Heart Association-American Stroke Association 14SDG19690016
6 · The paper itself

Abstract

Dysregulation of lipid metabolism is responsible for pathologies of human diseases including metabolic diseases. Recent advances in lipidomics analysis allow for the targeted and untargeted identification of lipid species and for their quantification in normal and diseased conditions. Herein, this review provides a brief introduction to lipidomics, highlights its application to characterize the lipidome at the cellular and physiological levels under different biological conditions, and discusses the potential for the use of lipidomics in the discovery of biomarkers.

Indexed as

AtherosclerosisLipidLipid dropletLipidomeLipidomicsLipoproteinMass spectrometryMetabolic diseaseMetabolism

Identifiers

PMID29374337
PMCPMC5786598

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.