Evidence map›Paper›PMID 30180851›Full record

ArticleJournal of translational medicine2018

Unveiling metabolic remodeling in mucopolysaccharidosis type III through integrative metabolomics and pathway analysis.

Abdellah Tebani, Lenaig Abily-Donval, Isabelle Schmitz-Afonso, Bénédicte Héron, Monique Piraud, Jérôme Ausseil, Farid Zerimech, Bruno Gonzalez, Stéphane Marret, Carlos Afonso and 1 more

Abstract read
In one paragraph

Article in Journal of translational medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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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

11 authors.

Abdellah TebaniDepartment of Metabolic Biochemistry, Rouen University Hospital, 76000, Rouen Cedex, France.
Lenaig Abily-DonvalNormandie Univ, UNIROUEN, CHU Rouen, INSERM U1245, 76000, Rouen, France.
Isabelle Schmitz-AfonsoNormandie Univ, UNIROUEN, INSA Rouen, CNRS, COBRA, 76000, Rouen, France.
Bénédicte HéronDepartment of Pediatric Neurology, Reference Center of Lysosomal Diseases, Trousseau Hospital, APHP and Sorbonne Université, GRC No 19, Pathologies Congénitales du Cervelet-LeucoDystrophies, AP-HP, Hôpital Armand Trousseau, 75012, Paris, France.
Monique PiraudService de Biochimie et Biologie Moléculaire Grand Est, Unité des Maladies Héréditaires du Métabolisme et Dépistage Néonatal, Centre de Biologie et de Pathologie Est, CHU de Lyon, Lyon, France.
Jérôme AusseilINSERM U1088, Laboratoire de Biochimie Métabolique, Centre de Biologie Humaine, CHU Sud, 80054, Amiens Cedex, France.
Farid ZerimechLaboratoire de Biochimie et Biologie Moléculaire, Université de Lille et Pôle de Biologie Pathologie Génétique du CHRU de Lille, 59000, Lille, France.
Bruno GonzalezNormandie Univ, UNIROUEN, CHU Rouen, INSERM U1245, 76000, Rouen, France.
Stéphane MarretNormandie Univ, UNIROUEN, CHU Rouen, INSERM U1245, 76000, Rouen, France.
Carlos AfonsoNormandie Univ, UNIROUEN, INSA Rouen, CNRS, COBRA, 76000, Rouen, France.
Soumeya BekriDepartment of Metabolic Biochemistry, Rouen University Hospital, 76000, Rouen Cedex, France. soumeya.bekri@chu-rouen.fr.ORCID 0000-0001-6184-7270

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMetabolomics represent a valuable tool to recover biological information using body fluids and may help to characterize pathophysiological mechanisms of the studied disease. This approach has not been widely used to explore inherited metabolic diseases. This study investigates mucopolysaccharidosis type III (MPS III). A thorough and holistic understanding of metabolic remodeling in MPS III may allow the development, improvement and personalization of patient care.

methodsWe applied both targeted and untargeted metabolomics to urine samples obtained from a French cohort of 49 patients, consisting of 13 MPS IIIA, 16 MPS IIIB, 13 MPS IIIC, and 7 MPS IIID, along with 66 controls. The analytical strategy is based on ultra-high-performance liquid chromatography combined with ion mobility and high-resolution mass spectrometry. Twenty-four amino acids have been assessed using tandem mass spectrometry combined with liquid chromatography. Multivariate data modeling has been used for discriminant metabolite selection. Pathway analysis has been performed to retrieve metabolic pathways impairments.

resultsData analysis revealed distinct biochemical profiles. These metabolic patterns, particularly those related to the amino acid metabolisms, allowed the different studied groups to be distinguished. Pathway analysis unveiled major amino acid pathways impairments in MPS III mainly arginine-proline metabolism and urea cycle metabolism.

conclusionThis represents one of the first metabolomics-based investigations of MPS III. These results may shed light on MPS III pathophysiology and could help to set more targeted studies to infer the biomarkers of the affected pathways, which is crucial for rare conditions such as MPS III.

Indexed as

AdolescentAdultAgedAlgorithmsAmino AcidsBiomarkersChildChild, PreschoolChromatography, LiquidCluster AnalysisFemaleGene Expression RegulationHumansInfantMaleMetabolic Networks and PathwaysAmino AcidsBiomarkersInborn errors of metabolismIon mobilityLysosomal storage diseasesMass spectrometryMetabolomicsMucopolysaccharidosis type III

Identifiers

PMID30180851
PMCPMC6122730

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Registered trials

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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.