Evidence map›Paper›PMID 32821725›Full record

ReviewJournal of lipid and atherosclerosis2020

Quantifications of Lipid Kinetics

Il-Young Kim, Sanghee Park, Jiwoong Jang, Robert R Wolfe

Abstract readReview
In one paragraph

Review in Journal of lipid and atherosclerosis, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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

9 citing papers in PubMed.

  1. Trial
  2. Review
  3. Urinary metabolome dynamics inMetabolomics : Official journal of the Metabolomic Society · 2025
    Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Review
  9. 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

4 authors.

Il-Young KimDepartment of Molecular Medicine, Lee Gil Ya Cancer and Diabetes Institute, College of Medicine, Gachon University, Incheon, Korea.ORCID https://orcid.org/0000-0002-6314-2415
Sanghee ParkDepartment of Molecular Medicine, Lee Gil Ya Cancer and Diabetes Institute, College of Medicine, Gachon University, Incheon, Korea.ORCID https://orcid.org/0000-0003-1632-3448
Jiwoong JangDepartment of Molecular Medicine, Lee Gil Ya Cancer and Diabetes Institute, College of Medicine, Gachon University, Incheon, Korea.ORCID https://orcid.org/0000-0002-9127-9494
Robert R WolfeDepartment of Geriatrics, Center for Translational Research in Aging & Longevity, Donald W. Reynolds Institute on Aging, University of Arkansas for Medical Sciences, Little Rock, AR, USA.ORCID 0000-0003-3425-8889

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Like other bodily materials, lipids such as plasma triacylglycerol, cholesterols, and free fatty acids are in a dynamic state of constant turnover (i.e., synthesis, breakdown, oxidation, and/or conversion to other compounds) as essential processes for achieving dynamic homeostasis in the body. However, dysregulation of lipid turnover can lead to clinical conditions such as obesity, fatty liver disease, and dyslipidemia. Assessment of "snap-shot" information on lipid metabolism (e.g., tissue contents of lipids, abundance of mRNA and protein and/or signaling molecules) are often used in clinical and research settings, and can help to understand one's health and disease status. However, such "snapshots" do not provide critical information on dynamic nature of lipid metabolism, and therefore may miss "true" origin of the dysregulation implicated in related diseases. In this regard, stable isotope tracer methodology can provide the

Indexed as

Lipid metabolismMass spectrometrySubstrate turnover, Dyslipidemia

Identifiers

PMID32821725
PMCPMC7379070

What OpenQuestion holds

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Registered trials

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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.