Evidence map›Paper›PMID 38132115›Full record

ReviewCells2023

Blood-Derived Lipid and Metabolite Biomarkers in Cardiovascular Research from Clinical Studies: A Recent Update.

Dipali Kale, Amol Fatangare, Prasad Phapale, Albert Sickmann

Open access · goldAbstract readReview
In one paragraph

Review in Cells, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

15 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Impact of myocardial revascularization surgery on the plasma metabolome.Metabolomics : Official journal of the Metabolomic Society · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Review
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  14. Article
  15. [Correlation of serum ferredoxin 1 and lipoic acid levels with severity of coronary artery disease].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2024
    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

4 authors at 1 institution in 1 country.

Dipali KaleLeibniz-Institut für Analytische Wissenschaften-ISAS-e.V., 44139 Dortmund, Germany.ORCID 0000-0001-8025-1683
Amol FatangareLeibniz-Institut für Analytische Wissenschaften-ISAS-e.V., 44139 Dortmund, Germany.
Prasad PhapaleLeibniz-Institut für Analytische Wissenschaften-ISAS-e.V., 44139 Dortmund, Germany.ORCID 0000-0002-9487-597X
Albert SickmannLeibniz-Institut für Analytische Wissenschaften-ISAS-e.V., 44139 Dortmund, Germany.
Leibniz Institute for Analytical Sciences - ISAS · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The primary prevention, early detection, and treatment of cardiovascular disease (CVD) have been long-standing scientific research goals worldwide. In the past decades, traditional blood lipid profiles have been routinely used in clinical practice to estimate the risk of CVDs such as atherosclerotic cardiovascular disease (ASCVD) and as treatment targets for the primary prevention of adverse cardiac events. These blood lipid panel tests often fail to fully predict all CVD risks and thus need to be improved. A comprehensive analysis of molecular species of lipids and metabolites (defined as lipidomics and metabolomics, respectively) can provide molecular insights into the pathophysiology of the disease and could serve as diagnostic and prognostic indicators of disease. Mass spectrometry (MS) and nuclear magnetic resonance (NMR)-based lipidomics and metabolomics analysis have been increasingly used to study the metabolic changes that occur during CVD pathogenesis. In this review, we provide an overview of various MS-based platforms and approaches that are commonly used in lipidomics and metabolomics workflows. This review summarizes the lipids and metabolites in human plasma/serum that have recently (from 2018 to December 2022) been identified as promising CVD biomarkers. In addition, this review describes the potential pathophysiological mechanisms associated with candidate CVD biomarkers. Future studies focused on these potential biomarkers and pathways will provide mechanistic clues of CVD pathogenesis and thus help with the risk assessment, diagnosis, and treatment of CVD.

Indexed as

Cardiovascular DiseasesCardiovascular SystemBiomarkersHumansLipidsMetabolomicsBiomarkersLipidsbiomarkerscardiovascular diseaselipidomicsmetabolipidomicsmetabolomics

Identifiers

PMID38132115
PMCPMC10741540
OpenAlexW4389478268

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.