Evidence map›Paper›PMID 31506554›Full record

ArticleScientific reports2019

NMR-based newborn urine screening for optimized detection of inherited errors of metabolism.

Nieves Embade, Claire Cannet, Tammo Diercks, Rubén Gil-Redondo, Chiara Bruzzone, Sara Ansó, Lourdes Román Echevarría, M Mercedes Martinez Ayucar, Laura Collazos, Blanca Lodoso and 9 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. 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
2.8field-weighted citation impact, top 10% 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

19 citing papers in PubMed, 36 citations in OpenAlex.

  1. Article
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  11. Practical Aspects of NMR-Based Metabolomics.Handbook of experimental pharmacology · 2023
    Article
  12. Article
  13. Review
  14. Article
  15. Metabolites · 2021
    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

19 authors at 6 institutions in 2 countries.

Nieves EmbadeProtein Stability and Inherited Disease Laboratory, CIC bioGUNE, Bizkaia Technology Park, Bld. 800, 48160, Derio, Bizkaia, Spain.
Claire CannetBruker Biospin GmbH, Silberstreifen, 76287, Rheinstetten, Germany.
Tammo DiercksNMR Platform, CIC bioGUNE, Bizkaia Technology Park, Bld. 800, 48160, Derio, Bizkaia, Spain.
Rubén Gil-RedondoProtein Stability and Inherited Disease Laboratory, CIC bioGUNE, Bizkaia Technology Park, Bld. 800, 48160, Derio, Bizkaia, Spain.
Chiara BruzzoneProtein Stability and Inherited Disease Laboratory, CIC bioGUNE, Bizkaia Technology Park, Bld. 800, 48160, Derio, Bizkaia, Spain.
Sara AnsóDepartment of Pediatrics, Cruces Universitary Hospital, Barakaldo, Spain.
Lourdes Román EchevarríaDepartment of Pediatrics, Cruces Universitary Hospital, Barakaldo, Spain.
M Mercedes Martinez AyucarDepartment of Pediatrics, Txagorritxu Hospital, Vitoria-Gasteiz, Spain.
Laura CollazosDepartment of Pediatrics, Txagorritxu Hospital, Vitoria-Gasteiz, Spain.
Blanca LodosoDepartment of Pediatrics, Txagorritxu Hospital, Vitoria-Gasteiz, Spain.
Eneritz GuerraDepartment of Pediatrics, Cruces Universitary Hospital, Barakaldo, Spain.
Izaskun Asla ElorriagaDepartment of Pediatrics, Cruces Universitary Hospital, Barakaldo, Spain.
Miguel Ángel KortajarenaDepartment of Nursing, University of the Basque Country, Donostia, Gipuzkoa, Spain.
Alberto Pérez LegorburuDepartment of Pediatrics, Basurto Universitary Hospital, Bilbao, Spain.
Fang FangBruker Biospin GmbH, Silberstreifen, 76287, Rheinstetten, Germany.
Itziar AstigarragaDepartment of Pediatrics, Cruces Universitary Hospital, Barakaldo, Spain.
Hartmut SchäferBruker Biospin GmbH, Silberstreifen, 76287, Rheinstetten, Germany.
Manfred SpraulBruker Biospin GmbH, Silberstreifen, 76287, Rheinstetten, Germany.
Oscar MilletProtein Stability and Inherited Disease Laboratory, CIC bioGUNE, Bizkaia Technology Park, Bld. 800, 48160, Derio, Bizkaia, Spain. omillet@cicbiogune.es.
CIC bioGUNE · ESHospital de Cruces · ESBruker (Germany) · DEHospital Txagorritxu · ESHospital de Basurto · ESUniversity of the Basque Country · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inborn errors of metabolism (IEMs) are rare diseases produced by the accumulation of abnormal amounts of metabolites, toxic to the newborn. When not detected on time, they can lead to irreversible physiological and psychological sequels or even demise. Metabolomics has emerged as an efficient and powerful tool for IEM detection in newborns, children, and adults with late onset. In here, we screened urine samples from a large set of neonates (470 individuals) from a homogeneous population (Basque Country), for the identification of congenital metabolic diseases using NMR spectroscopy. Absolute quantification allowed to derive a probability function for up to 66 metabolites that adequately describes their normal concentration ranges in newborns from the Basque Country. The absence of another 84 metabolites, considered abnormal, was routinely verified in the healthy newborn population and confirmed for all but 2 samples, of which one showed toxic concentrations of metabolites associated to ketosis and the other one a high trimethylamine concentration that strongly suggested an episode of trimethylaminuria. Thus, a non-invasive and readily accessible urine sample contains enough information to assess the potential existence of a substantial number (>70) of IEMs in newborns, using a single, automated and standardized

Indexed as

BiomarkersMagnetic Resonance SpectroscopyHumansInfant, NewbornMetabolism, Inborn ErrorsReproducibility of ResultsSensitivity and SpecificityUrinalysisBiomarkers

Identifiers

PMID31506554
PMCPMC6736868
OpenAlexW2973129155

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.