Evidence map›Paper›PMID 31731787›Full record

ArticleToxins2019

Proteomic Characterization of High-Density Lipoprotein Particles from Non-Diabetic Hemodialysis Patients.

Nans Florens, Catherine Calzada, Frédéric Delolme, Adeline Page, Fitsum Guebre Egziabher, Laurent Juillard, And Christophe O Soulage

Abstract read
In one paragraph

Article in Toxins, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
  2. Deciphering Acute Coronary Syndromes Pathobiology Through Proteomics.Journal of cardiovascular development and disease · 2025
    Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. The HDL Proteome Watch: Compilation of studies leads to new insights on HDL function.Biochimica et biophysica acta. Molecular and cell biology of lipids · 2022
    Review
  8. Review
  9. Review
  10. Article
  11. 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

7 authors.

Nans FlorensUniv. Lyon, CarMeN, INSERM U1060, INSA de Lyon, Université Claude Bernard Lyon 1, INRA U1397, F-69621 Villeurbanne, France.
Catherine CalzadaUniv. Lyon, CarMeN, INSERM U1060, INSA de Lyon, Université Claude Bernard Lyon 1, INRA U1397, F-69621 Villeurbanne, France.
Frédéric DelolmeProtein Science Facility, SFR BioSciences CNRS UMS3444, Inserm US8, Université Claude Bernard Lyon 1, ENS de Lyon, F-69007 Lyon, France.ORCID 0000-0003-0320-0764
Adeline PageProtein Science Facility, SFR BioSciences CNRS UMS3444, Inserm US8, Université Claude Bernard Lyon 1, ENS de Lyon, F-69007 Lyon, France.
Fitsum Guebre EgziabherUniv. Lyon, CarMeN, INSERM U1060, INSA de Lyon, Université Claude Bernard Lyon 1, INRA U1397, F-69621 Villeurbanne, France.
Laurent JuillardUniv. Lyon, CarMeN, INSERM U1060, INSA de Lyon, Université Claude Bernard Lyon 1, INRA U1397, F-69621 Villeurbanne, France.
And Christophe O SoulageUniv. Lyon, CarMeN, INSERM U1060, INSA de Lyon, Université Claude Bernard Lyon 1, INRA U1397, F-69621 Villeurbanne, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic kidney disease is associated with an increased cardiovascular risk, and altered biological properties of high-density lipoproteins (HDL) may play a role in these events. This study aimed to describe the HDL proteome from non-diabetic hemodialysis patients and identify potential pathways affected by the dysregulated expression of HDL proteins. HDL were sampled from nine non-diabetic hemodialysis (HD) and eight control patients. Samples were analyzed using a nano-RSLC coupled with a Q-Orbitrap. Data were processed by database searching using SequestHT against a human Swissprot database and quantified with a label-free quantification approach. Proteins that were in at least five of the eight control and six of the nine HD patients were analyzed. Analysis was based on pairwise ratios and the ANOVA hypothesis test. Among 522 potential proteins, 326 proteins were identified to be in the HDL proteome from HD and control patients, among which 10 were significantly upregulated and nine downregulated in HD patients compared to the control patients (

Indexed as

Renal DialysisApoptosisCase-Control StudiesDown-RegulationHemostasisHumansLipid MetabolismLipoproteins, HDLMass SpectrometryOxidative StressProteomicsUp-RegulationWound HealingLipoproteins, HDLcardiovascular riskHDL cholesterolhemodialysislipoproteinsmass spectrometryproteomic

Identifiers

PMID31731787
PMCPMC6891510

What OpenQuestion holds

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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.