Evidence map›Paper›PMID 34564437›Full record

ReviewMetabolites2021

Lipid Metabolite Biomarkers in Cardiovascular Disease: Discovery and Biomechanism Translation from Human Studies.

Peter McGranaghan, Jennifer A Kirwan, Mariel A Garcia-Rivera, Burkert Pieske, Frank Edelmann, Florian Blaschke, Sandeep Appunni, Anshul Saxena, Muni Rubens, Emir Veledar and 1 more

Open access · goldAbstract readReview
In one paragraph

Review in Metabolites, 2021. 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, 50 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Epigenetic and Metabolic Regulation of Macrophages during Gout.Gout, urate, and crystal deposition disease · 2023
    Article
  18. Article
  19. Review
  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

11 authors at 7 institutions in 4 countries.

Peter McGranaghanDepartment of Internal Medicine and Cardiology, Charité Campus Virchow-Klinikum, 13353 Berlin, Germany.
Jennifer A KirwanMetabolomics Platform, Berlin Institute of Health at Charité Universitätsmedizin Berlin, 13353 Berlin, Germany.ORCID 0000-0002-5423-1651
Mariel A Garcia-RiveraMetabolomics Platform, Berlin Institute of Health at Charité Universitätsmedizin Berlin, 13353 Berlin, Germany.
Burkert PieskeDepartment of Internal Medicine and Cardiology, Charité Campus Virchow-Klinikum, 13353 Berlin, Germany.
Frank EdelmannDepartment of Internal Medicine and Cardiology, Charité Campus Virchow-Klinikum, 13353 Berlin, Germany.
Florian BlaschkeDepartment of Internal Medicine and Cardiology, Charité Campus Virchow-Klinikum, 13353 Berlin, Germany.ORCID 0000-0001-7193-0318
Sandeep AppunniDepartment of Biochemistry, Government Medical College, Kozhikode, Kerala 673008, India.
Anshul SaxenaBaptist Health South Florida, Miami, FL 33143, USA.
Muni RubensBaptist Health South Florida, Miami, FL 33143, USA.
Emir VeledarBaptist Health South Florida, Miami, FL 33143, USA.ORCID 0000-0002-3831-5433
Tobias Daniel TrippelDepartment of Internal Medicine and Cardiology, Charité Campus Virchow-Klinikum, 13353 Berlin, Germany.ORCID 0000-0001-8575-0019
Baptist Health South Florida · USDeutsches Herzzentrum der Charité · DEGerman Centre for Cardiovascular Research · DEEmory University · USGovernment Medical College · INMax Delbrück Center · DEUniversity of Nottingham · GB

Funding

German Federal Ministry of Education and Research, BMBF 01EA1801C
6 · The paper itself

Abstract

Lipids represent a valuable target for metabolomic studies since altered lipid metabolism is known to drive the pathological changes in cardiovascular disease (CVD). Metabolomic technologies give us the ability to measure thousands of metabolites providing us with a metabolic fingerprint of individual patients. Metabolomic studies in humans have supported previous findings into the pathomechanisms of CVD, namely atherosclerosis, apoptosis, inflammation, oxidative stress, and insulin resistance. The most widely studied classes of lipid metabolite biomarkers in CVD are phospholipids, sphingolipids/ceramides, glycolipids, cholesterol esters, fatty acids, and acylcarnitines. Technological advancements have enabled novel strategies to discover individual biomarkers or panels that may aid in the diagnosis and prognosis of CVD, with sphingolipids/ceramides as the most promising class of biomarkers thus far. In this review, application of metabolomic profiling for biomarker discovery to aid in the diagnosis and prognosis of CVD as well as metabolic abnormalities in CVD will be discussed with particular emphasis on lipid metabolites.

Indexed as

biomarkerscardiovascular diseaseheart failurelipidomicsmetabolomics

Identifiers

PMID34564437
PMCPMC8470800
OpenAlexW3201139497

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.