Evidence map›Paper›PMID 38429638›Full record

ReviewClinical proteomics2024

Closing the gaps in patient management of dyslipidemia: stepping into cardiovascular precision diagnostics with apolipoprotein profiling.

Esther Reijnders, Arnoud van der Laarse, L Renee Ruhaak, Christa M Cobbaert

Open access · goldAbstract readReview
In one paragraph

Review in Clinical proteomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
4.6field-weighted citation impact, top 5% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Trial
  2. Threonine in Coronary Artery Disease: Insights From Metabolic Syndrome Amino Acid Profiling.Medical science monitor : international medical journal of experimental and clinical research · 2026
    Article
  3. Cardiovascular disease lipids and lipoproteins biomarker standardization.Critical reviews in clinical laboratory sciences · 2025
    Review
  4. 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.

Esther ReijndersDepartment of Clinical Chemistry and Laboratory Medicine, Leiden University Medical Center, Leiden, the Netherlands. e.reijnders@lumc.nl.ORCID http://orcid.org/0000-0003-3520-5869
Arnoud van der LaarseDepartment of Clinical Chemistry and Laboratory Medicine, Leiden University Medical Center, Leiden, the Netherlands.ORCID http://orcid.org/0000-0003-2447-4414
L Renee RuhaakDepartment of Clinical Chemistry and Laboratory Medicine, Leiden University Medical Center, Leiden, the Netherlands.ORCID http://orcid.org/0000-0003-3737-3807
Christa M CobbaertDepartment of Clinical Chemistry and Laboratory Medicine, Leiden University Medical Center, Leiden, the Netherlands.ORCID http://orcid.org/0000-0003-3565-1404
Leiden University Medical Center · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In persons with dyslipidemia, a high residual risk of cardiovascular disease remains despite lipid lowering therapy. Current cardiovascular risk prediction mainly focuses on low-density lipoprotein cholesterol (LDL-c) levels, neglecting other contributing risk factors. Moreover, the efficacy of LDL-c lowering by statins resulting in reduced cardiovascular risk is only partially effective. Secondly, from a metrological viewpoint LDL-c falls short as a reliable measurand. Both direct and calculated LDL-c tests produce inaccurate test results at the low end under aggressive lipid lowering therapy. As LDL-c tests underperform both clinically and metrologically, there is an urging need for molecularly defined biomarkers. Over the years, apolipoproteins have emerged as promising biomarkers in the context of cardiovascular disease as they are the functional workhorses in lipid metabolism. Among these, apolipoprotein B (ApoB), present on all atherogenic lipoprotein particles, has demonstrated to clinically outperform LDL-c. Other apolipoproteins, such as Apo(a) - the characteristic apolipoprotein of the emerging risk factor lipoprotein(a) -, and ApoC-III - an inhibitor of triglyceride-rich lipoprotein clearance -, have attracted attention as well. To support personalized medicine, we need to move to molecularly defined risk markers, like the apolipoproteins. Molecularly defined diagnosis and molecularly targeted therapy require molecularly measured biomarkers. This review provides a summary of the scientific validity and (patho)physiological role of nine serum apolipoproteins, Apo(a), ApoB, ApoC-I, ApoC-II, ApoC-III, ApoE and its phenotypes, ApoA-I, ApoA-II, and ApoA-IV, in lipid metabolism, their association with cardiovascular disease, and their potential as cardiovascular risk markers when measured in a multiplex apolipoprotein panel.

Indexed as

Apolipoprotein panelApolipoproteinsMultiplex testingPrecision medicine

Identifiers

PMID38429638
PMCPMC10908091
OpenAlexW4392360387

What Socratic 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 Socratic graph.