Evidence map›Paper›PMID 36988742›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2023

Combined targeted and untargeted high-resolution mass spectrometry analyses to investigate metabolic alterations in pompe disease.

Mariana B M de Moraes, Hygor M R de Souza, Maria L C de Oliveira, Roy W A Peake, Fernanda B Scalco, Rafael Garrett

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Article in Metabolomics : Official journal of the Metabolomic Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

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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

6 authors at 2 institutions in 2 countries.

Mariana B M de Moraes *Metabolomics Laboratory, Institute of Chemistry, Federal University of Rio de Janeiro, Av. Horácio Macedo 1281, Rio de Janeiro, RJ, 21941-598, Brazil.
Hygor M R de Souza *Metabolomics Laboratory, Institute of Chemistry, Federal University of Rio de Janeiro, Av. Horácio Macedo 1281, Rio de Janeiro, RJ, 21941-598, Brazil.
Maria L C de OliveiraInborn Error of Metabolism Laboratory, Institute of Chemistry, Federal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil.
Roy W A PeakeDepartment of Laboratory Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.
Fernanda B ScalcoInborn Error of Metabolism Laboratory, Institute of Chemistry, Federal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil.
Rafael GarrettMetabolomics Laboratory, Institute of Chemistry, Federal University of Rio de Janeiro, Av. Horácio Macedo 1281, Rio de Janeiro, RJ, 21941-598, Brazil. rafael_garrett@iq.ufrj.br.ORCID http://orcid.org/0000-0002-5823-311X
Universidade Federal do Rio de Janeiro · BRBoston Children's Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPompe disease is a rare, lysosomal disorder, characterized by intra-lysosomal glycogen accumulation due to an impaired function of α-glucosidase enzyme. The laboratory testing for Pompe is usually performed by enzyme activity, genetic test, or urine glucose tetrasaccharide (Glc4) screening by HPLC. Despite being a good preliminary marker, the Glc4 is not specific for Pompe.

objectiveThe purpose of the present study was to develop a simple methodology using liquid chromatography-high resolution mass spectrometry (LC-HRMS) for targeted quantitative analysis of Glc

methodsWe collected 21 urine specimens from 13 Pompe disease patients and compared their metabolic signatures with 21 control specimens.

resultsMultivariate statistical analyses on the untargeted profiling data revealed Glc

conclusionThis study has demonstrated the potential of combined acquisition methods in LC-HRMS for Pompe disease investigation, allowing for routine determination of an established biomarker and discovery of complementary candidate biomarkers that may increase diagnostic accuracy, or improve the risk stratification of patients with disparate clinical phenotypes.

Indexed as

Glycogen Storage Disease Type IIBiomarkersHumansMetabolomicsPhenotypeTandem Mass SpectrometryBiomarkersGlycogen storage disorderHigh-resolution mass spectrometryInborn error of metabolismMetabolomicsUrine

Identifiers

PMID36988742
OpenAlexW4361301932

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.