Evidence map›Paper›PMID 30868361›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2019

Metabolomics profiles of patients with Wilson disease reveal a distinct metabolic signature.

Gaurav V Sarode, Kyoungmi Kim, Dorothy A Kieffer, Noreene M Shibata, Tomas Litwin, Anna Czlonkowska, Valentina Medici

Erratum issuedAbstract read
In one paragraph

Article in Metabolomics : Official journal of the Metabolomic Society, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

30 citing papers in PubMed, 38 citations in OpenAlex.

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  18. Wilson Disease: Update on Pathophysiology and Treatment.Frontiers in cell and developmental biology · 2022
    Review
  19. Diverse roles of microbial indole compounds in eukaryotic systems.Biological reviews of the Cambridge Philosophical Society · 2021
    Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 2 countries.

Gaurav V SarodeDivision of Gastroenterology and Hepatology, Department of Internal Medicine, University of California Davis, 4150 V Street, Suite 3500, Sacramento, CA, 95817, USA.
Kyoungmi KimDivision of Biostatistics, Department of Public Health Sciences, University of California Davis, Davis, CA, USA.
Dorothy A KiefferDivision of Gastroenterology and Hepatology, Department of Internal Medicine, University of California Davis, 4150 V Street, Suite 3500, Sacramento, CA, 95817, USA.
Noreene M ShibataDivision of Gastroenterology and Hepatology, Department of Internal Medicine, University of California Davis, 4150 V Street, Suite 3500, Sacramento, CA, 95817, USA.
Tomas LitwinDepartment of Neurology, Institute of Psychiatry and Neurology, Warsaw, Poland.
Anna CzlonkowskaDepartment of Neurology, Institute of Psychiatry and Neurology, Warsaw, Poland.
Valentina MediciDivision of Gastroenterology and Hepatology, Department of Internal Medicine, University of California Davis, 4150 V Street, Suite 3500, Sacramento, CA, 95817, USA. vmedici@ucdavis.edu.ORCID http://orcid.org/0000-0001-5438-284X
University of California, Davis · USInstitute of Psychiatry and Neurology · PLUniversity of California System · US

Funding

Epigenetic regulation of Wilson DiseaseR01DK104770 · NIDDK · UNIVERSITY OF CALIFORNIA AT DAVIS · PI MEDICI, VALENTINA · 2016 to 2020
$1.8M
NIDDK NIH HHS R01 DK104770
6 · The paper itself

Abstract

introductionWilson disease (WD) is characterized by excessive intracellular copper accumulation in liver and brain due to defective copper biliary excretion. With highly varied phenotypes and a lack of biomarkers for the different clinical manifestations, diagnosis and treatment can be difficult.

objectiveThe aim of the present study was to analyze serum metabolomics profiles of patients with Wilson disease compared to healthy subjects, with the goal of identifying differentially abundant metabolites as potential biomarkers for this condition.

methodsHydrophilic interaction liquid chromatography-quadrupole time of flight mass spectrometry was used to evaluate the untargeted serum metabolome of 61 patients with WD (26 hepatic and 25 neurologic subtypes, 10 preclinical) compared to 15 healthy subjects. We conducted analysis of covariance with potential confounders (body mass index, age, sex) as covariates and partial least-squares analysis.

resultsAfter adjusting for clinical covariates and multiple testing, we identified 99 significantly different metabolites (FDR < 0.05) between WD and healthy subjects. Subtype comparisons also revealed significantly different metabolites compared to healthy subjects: WD hepatic subtype (67), WD neurologic subtype (57), WD hepatic-neurologic combined (77), and preclinical (36). Pathway analysis revealed these metabolites are involved in amino acid metabolism, the tricarboxylic acid cycle, choline metabolism, and oxidative stress.

conclusionsPatients with WD are characterized by a distinct metabolomics profile providing new insights into WD pathogenesis and identifying new potential diagnostic biomarkers.

Indexed as

AdultBiomarkersBrainChromatography, LiquidCitric Acid CycleCopperFemaleHepatolenticular DegenerationHumansLeast-Squares AnalysisLiverMaleMass SpectrometryMetabolomeMetabolomicsMiddle AgedBiomarkersCopperBiomarkersCopperMetabolomicsPhenotype

Identifiers

PMID30868361
PMCPMC6568258
OpenAlexW2920986554

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.