Evidence map›Paper›PMID 29556837›Full record

ReviewJournal of inherited metabolic disease2018

Unraveling the unknown areas of the human metabolome: the role of infrared ion spectroscopy.

Jonathan Martens, Giel Berden, Herman Bentlage, Karlien L M Coene, Udo F Engelke, David Wishart, Monique van Scherpenzeel, Leo A J Kluijtmans, Ron A Wevers, Jos Oomens

Open access · hybridAbstract readReview
In one paragraph

Review 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 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

26 citing papers in PubMed, 56 citations in OpenAlex.

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  6. AnAnalytical chemistry · 2023
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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

10 authors at 2 institutions in 3 countries.

Jonathan MartensRadboud University, Institute for Molecules and Materials, FELIX Laboratory, Toernooiveld 7c, 6525ED, Nijmegen, The Netherlands. jonathan.martens@science.ru.nl.ORCID 0000-0001-9537-4117
Giel BerdenRadboud University, Institute for Molecules and Materials, FELIX Laboratory, Toernooiveld 7c, 6525ED, Nijmegen, The Netherlands.
Herman BentlageRadboud University, Institute for Molecules and Materials, FELIX Laboratory, Toernooiveld 7c, 6525ED, Nijmegen, The Netherlands.
Karlien L M CoeneDepartment of Laboratory Medicine, Translational Metabolic Laboratory, Radboud University Medical Center, Geert Groote Plein Zuid 10, 6525, GA, Nijmegen, The Netherlands.
Udo F EngelkeDepartment of Laboratory Medicine, Translational Metabolic Laboratory, Radboud University Medical Center, Geert Groote Plein Zuid 10, 6525, GA, Nijmegen, The Netherlands.
David WishartDepartments of Computing Science and Biological Sciences, University of Alberta, Edmonton, AB, Canada.
Monique van ScherpenzeelDepartment of Laboratory Medicine, Translational Metabolic Laboratory, Radboud University Medical Center, Geert Groote Plein Zuid 10, 6525, GA, Nijmegen, The Netherlands.
Leo A J KluijtmansDepartment of Laboratory Medicine, Translational Metabolic Laboratory, Radboud University Medical Center, Geert Groote Plein Zuid 10, 6525, GA, Nijmegen, The Netherlands.
Ron A WeversDepartment of Laboratory Medicine, Translational Metabolic Laboratory, Radboud University Medical Center, Geert Groote Plein Zuid 10, 6525, GA, Nijmegen, The Netherlands. ron.wevers@radboudumc.nl.
Jos OomensRadboud University, Institute for Molecules and Materials, FELIX Laboratory, Toernooiveld 7c, 6525ED, Nijmegen, The Netherlands. j.oomens@science.ru.nl.
Radboud University Nijmegen · NLUniversity of Alberta · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The identification of molecular biomarkers is critical for diagnosing and treating patients and for establishing a fundamental understanding of the pathophysiology and underlying biochemistry of inborn errors of metabolism. Currently, liquid chromatography/high-resolution mass spectrometry and nuclear magnetic resonance spectroscopy are the principle methods used for biomarker research and for structural elucidation of small molecules in patient body fluids. While both are powerful techniques, several limitations exist that often make the identification of unknown compounds challenging. Here, we describe how infrared ion spectroscopy has the potential to be a valuable orthogonal technique that provides highly-specific molecular structure information while maintaining ultra-high sensitivity. Here, we characterize and distinguish two well-known biomarkers of inborn errors of metabolism, glutaric acid for glutaric aciduria and ethylmalonic acid for short-chain acyl-CoA dehydrogenase deficiency, using infrared ion spectroscopy. In contrast to tandem mass spectra, in which ion fragments can hardly be predicted, we show that the prediction of an IR spectrum allows reference-free identification in the case that standard compounds are either commercially or synthetically unavailable. Finally, we illustrate how functional group information can be obtained from an IR spectrum for an unknown and how this is valuable information to, for example, narrow down a list of candidate structures resulting from a database query. Early diagnosis in inborn errors of metabolism is crucial for enabling treatment and depends on the identification of biomarkers specific for the disorder. Infrared ion spectroscopy has the potential to play a pivotal role in the identification of challenging biomarkers.

Indexed as

BiomarkersHumansMetabolism, Inborn ErrorsMetabolomeSpectrophotometry, InfraredBiomarkersBiomarkersComputational chemistryFeature identificationHMDBInborn errors of metabolismInfrared ion spectroscopyMolecular structure analysis

Identifiers

PMID29556837
PMCPMC5959965
OpenAlexW2793153829

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.