Evidence map›Paper›PMID 29665359›Full record

ReviewBiochemical and biophysical research communications2018

Lipidomic insight into cardiovascular diseases.

Shohei Kohno, Audrey L Keenan, James M Ntambi, Makoto Miyazaki

Open access · greenAbstract readReview
In one paragraph

Review in Biochemical and biophysical research communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

32 citing papers in PubMed, 64 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. LC/MS-Based Untargeted Lipidomics Reveals Lipid Signatures of Sarcopenia.International journal of molecular sciences · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Analytical Techniques for Single-Cell Biochemical Assays of Lipids.Annual review of biomedical engineering · 2023
    Review
  11. Article
  12. Review
  13. Review
  14. The foundations and development of lipidomics.Journal of lipid research · 2022
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Overview of Human Cytomegalovirus Pathogenesis.Methods in molecular biology (Clifton, N.J.) · 2021
    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 at 2 institutions in 1 country.

Shohei KohnoDivision of Renal Diseases and Hypertension, University of Colorado Denver, Aurora, CO 80045, USA.
Audrey L KeenanDivision of Renal Diseases and Hypertension, University of Colorado Denver, Aurora, CO 80045, USA.
James M NtambiDepartment of Biochemistry, University of Wisconsin Madison, Madison, WI 53706, USA; Department of Nutritional Sciences, University of Wisconsin Madison, Madison, WI 53706, USA.
Makoto MiyazakiDivision of Renal Diseases and Hypertension, University of Colorado Denver, Aurora, CO 80045, USA. Electronic address: makoto.miyazaki@ucdenver.edu.
University of Colorado Denver · USUniversity of Wisconsin–Madison · US

Funding

The role of MLKL in the regulation of vascular calcification in CKDR01HL132318 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI MIYAZAKI, MAKOTO · 2016 to 2025
$3.8M
Molecular Pathogenesis of Chronic Kidney Disease-Dependent Vascular CalcificationR01DK096030 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI MIYAZAKI, MAKOTO · 2013 to 2017
$2.2M
The contributory role of microbial metabolite in the pathogenesis of CKD-dependent vascular calcificationR01HL133545 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI MIYAZAKI, MAKOTO · 2018 to 2021
$1.9M
The Role of Stearate in The Regulation of Vascular Calcification in Chronic Kidney DiseaseR01HL117062 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI MIYAZAKI, MAKOTO · 2013 to 2016
$1.5M
NHLBI NIH HHS R01 HL117062NHLBI NIH HHS R01 HL132318NHLBI NIH HHS R01 HL133545NIDDK NIH HHS R01 DK096030
6 · The paper itself

Abstract

Cardiovascular disease is a primary cause of mortality worldwide. Therefore, it is of major interest to identify sensitive molecular markers that predict cardiovascular events and point to therapeutic strategies that will increase lifespans. Dysregulated lipid metabolism is recognized as an established risk factor in cardiovascular diseases. However, it is still largely unknown which specific lipid molecular species reflect cardiovascular risk. In addition, understanding the whole lipidome signature in vascular pathophysiology is challenging. Recent advancements of mass-spectrometry allow researchers to detect each individual lipid species from unbiased small samples. In this review, we update the current research on lipidomic approaches in cardiovascular diseases.

Indexed as

BiomarkersBiomedical ResearchCardiovascular DiseasesHumansLipid MetabolismLipidsMetabolomicsReproducibility of ResultsRisk FactorsSensitivity and SpecificityBiomarkersLipidsCardiovascular diseaseLipid metabolismLipidomicsMetabolomics

Identifiers

PMID29665359
PMCPMC6309221
OpenAlexW2800837266

What OpenQuestion holds

Textmetadata
LicenceTDM
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.