Evidence map›Paper›PMID 35448520›Full record

ReviewMetabolites2022

Lipidomics in Understanding Pathophysiology and Pharmacologic Effects in Inflammatory Diseases: Considerations for Drug Development.

Kabir Ahluwalia, Brandon Ebright, Kingsley Chow, Priyal Dave, Andrew Mead, Roy Poblete, Stan G Louie, Isaac Asante

Open access · goldAbstract readReview
In one paragraph

Review in Metabolites, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 4% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 55 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
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  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Integrated multiomic analyses: An approach to improve understanding of diabetic kidney disease.Diabetic medicine : a journal of the British Diabetic Association · 2025
    Review
  12. Review
  13. Article
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  15. Article
  16. Article
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  19. American journal of physiology. Gastrointestinal and liver physiology · 2024
    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

8 authors at 1 institution in 1 country.

Kabir AhluwaliaSchool of Pharmacy, University of Southern California, Los Angeles, CA 90089, USA.ORCID 0000-0003-0951-6647
Brandon EbrightSchool of Pharmacy, University of Southern California, Los Angeles, CA 90089, USA.ORCID 0000-0002-8939-6069
Kingsley ChowSchool of Pharmacy, University of Southern California, Los Angeles, CA 90089, USA.ORCID 0000-0003-4072-5877
Priyal DaveSchool of Pharmacy, University of Southern California, Los Angeles, CA 90089, USA.
Andrew MeadSchool of Pharmacy, University of Southern California, Los Angeles, CA 90089, USA.
Roy PobleteDepartment of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.
Stan G LouieSchool of Pharmacy, University of Southern California, Los Angeles, CA 90089, USA.
Isaac AsanteSchool of Pharmacy, University of Southern California, Los Angeles, CA 90089, USA.ORCID 0000-0002-9628-3425
University of Southern California · US

Funding

Southern California Clinical and Translational Science InstituteUL1TR001855 · NCATS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Thomas A Buchanan, Michele D. Kipke · 2016 to 2026
$81.3M
Sequestration and deactivation of anthracycline by adipocytes in the leukemia microenvironmentR01CA213129 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LOUIE, STAN GEE, MITTELMAN, STEVEN DAVID · 2017 to 2021
$1.9M
American Foundation for Pharmaceutical Education FellowshipGinsburg Institute for Biomedical Therapeutics FellowshipNCATS NIH HHS UL1 TR001855NIH HHS 5R01CA213129-05United States Department of Defense 13247254
6 · The paper itself

Abstract

The lipidome has a broad range of biological and signaling functions, including serving as a structural scaffold for membranes and initiating and resolving inflammation. To investigate the biological activity of phospholipids and their bioactive metabolites, precise analytical techniques are necessary to identify specific lipids and quantify their levels. Simultaneous quantification of a set of lipids can be achieved using high sensitivity mass spectrometry (MS) techniques, whose technological advancements have significantly improved over the last decade. This has unlocked the power of metabolomics/lipidomics allowing the dynamic characterization of metabolic systems. Lipidomics is a subset of metabolomics for multianalyte identification and quantification of endogenous lipids and their metabolites. Lipidomics-based technology has the potential to drive novel biomarker discovery and therapeutic development programs; however, appropriate standards have not been established for the field. Standardization would improve lipidomic analyses and accelerate the development of innovative therapies. This review aims to summarize considerations for lipidomic study designs including instrumentation, sample stabilization, data validation, and data analysis. In addition, this review highlights how lipidomics can be applied to biomarker discovery and drug mechanism dissection in various inflammatory diseases including cardiovascular disease, neurodegeneration, lung disease, and autoimmune disease.

Indexed as

autoimmune diseasecardiovascular diseaseeicosanoidsinflammationlipid mediatorslipidomicsmass spectrometryneurodegenerationrespiratory diseasespecial pro-resolving lipid mediators

Identifiers

PMID35448520
PMCPMC9030008
OpenAlexW4224221924

What OpenQuestion 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 OpenQuestion graph.