Evidence map›Paper›PMID 29209936›Full record

ArticleJournal of inherited metabolic disease2018

Plasma lipidomics as a diagnostic tool for peroxisomal disorders.

Katharina Herzog, Mia L Pras-Raves, Sacha Ferdinandusse, Martin A T Vervaart, Angela C M Luyf, Antoine H C van Kampen, Ronald J A Wanders, Hans R Waterham, Frédéric M Vaz

Open access · hybridAbstract read
In one paragraph

Article in Journal of inherited metabolic disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

14 citing papers in PubMed, 30 citations in OpenAlex.

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  6. The Plasma Lipidomic Landscape in Patients with Sepsis due to Community-acquired Pneumonia.American journal of respiratory and critical care medicine · 2024
    Article
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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

9 authors at 2 institutions in 1 country.

Katharina HerzogLaboratory Genetic Metabolic Diseases, Departments of Clinical Chemistry and Pediatrics, University of Amsterdam, Meibergdreef 9, Amsterdam, 1105 AZ, The Netherlands.
Mia L Pras-RavesLaboratory Genetic Metabolic Diseases, Departments of Clinical Chemistry and Pediatrics, University of Amsterdam, Meibergdreef 9, Amsterdam, 1105 AZ, The Netherlands.
Sacha FerdinandusseLaboratory Genetic Metabolic Diseases, Departments of Clinical Chemistry and Pediatrics, University of Amsterdam, Meibergdreef 9, Amsterdam, 1105 AZ, The Netherlands.
Martin A T VervaartLaboratory Genetic Metabolic Diseases, Departments of Clinical Chemistry and Pediatrics, University of Amsterdam, Meibergdreef 9, Amsterdam, 1105 AZ, The Netherlands.
Angela C M LuyfDepartment of Clinical Epidemiology, Biostatistics, and Bioinformatics, Academic Medical Center, University of Amsterdam, Meibergdreef 9, Amsterdam, 1105 AZ, The Netherlands.
Antoine H C van KampenDepartment of Clinical Epidemiology, Biostatistics, and Bioinformatics, Academic Medical Center, University of Amsterdam, Meibergdreef 9, Amsterdam, 1105 AZ, The Netherlands.
Ronald J A WandersLaboratory Genetic Metabolic Diseases, Departments of Clinical Chemistry and Pediatrics, University of Amsterdam, Meibergdreef 9, Amsterdam, 1105 AZ, The Netherlands.
Hans R WaterhamLaboratory Genetic Metabolic Diseases, Departments of Clinical Chemistry and Pediatrics, University of Amsterdam, Meibergdreef 9, Amsterdam, 1105 AZ, The Netherlands. h.r.waterham@amc.uva.nl.
Frédéric M VazLaboratory Genetic Metabolic Diseases, Departments of Clinical Chemistry and Pediatrics, University of Amsterdam, Meibergdreef 9, Amsterdam, 1105 AZ, The Netherlands. f.m.vaz@amc.uva.nl.ORCID 0000-0002-9048-1041
University of Amsterdam · NLAmsterdam UMC Location University of Amsterdam · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Peroxisomes are ubiquitous cell organelles that play an important role in lipid metabolism. Accordingly, peroxisomal disorders, including the peroxisome biogenesis disorders and peroxisomal single-enzyme deficiencies, are associated with aberrant lipid metabolism. Lipidomics is an emerging tool for diagnosis, disease-monitoring, identifying lipid biomarkers, and studying the underlying pathophysiology in disorders of lipid metabolism. In this study, we demonstrate the potential of lipidomics for the diagnosis of peroxisomal disorders using plasma samples from patients with different types of peroxisomal disorders. We show that the changes in the plasma profiles of phospholipids, di- and triglycerides, and cholesterol esters correspond with the characteristic metabolite abnormalities that are currently used in the metabolic screening for peroxisomal disorders. The lipidomics approach, however, gives a much more detailed overview of the metabolic changes that occur in the lipidome. Furthermore, we identified novel unique lipid species for specific peroxisomal diseases that are candidate biomarkers. The results presented in this paper show the power of lipidomics approaches to enable the specific diagnosis of different peroxisomal disorders.

Indexed as

BiomarkersBlood Chemical AnalysisFatty AcidsHumansLipid MetabolismLipidsMetabolomicsPeroxisomal DisordersPeroxisomesBiomarkersFatty AcidsLipids

Identifiers

PMID29209936
PMCPMC5959966
OpenAlexW2772928789

What OpenQuestion holds

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LicenceCC BY
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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.