Evidence map›Paper›PMID 33198249›Full record

ArticleMetabolites2020

Towards a More Reliable Identification of Isomeric Metabolites Using Pattern Guided Retention Validation.

Tobias Opialla, Stefan Kempa, Matthias Pietzke

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

18 citing papers in PubMed, 25 citations in OpenAlex.

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  9. Serum Starvation Accelerates Intracellular Metabolism in Endothelial Cells.International journal of molecular sciences · 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

3 authors at 1 institution in 1 country.

Tobias OpiallaIntegrative Metabolomics and Proteomics, Berlin Institute of Medical Systems Biology/Max-Delbrück Center for Molecular Medicine, 13125 Berlin, Germany.ORCID 0000-0001-9527-8061
Stefan KempaIntegrative Metabolomics and Proteomics, Berlin Institute of Medical Systems Biology/Max-Delbrück Center for Molecular Medicine, 13125 Berlin, Germany.ORCID 0000-0002-0696-9299
Matthias PietzkeIntegrative Metabolomics and Proteomics, Berlin Institute of Medical Systems Biology/Max-Delbrück Center for Molecular Medicine, 13125 Berlin, Germany.ORCID 0000-0002-6901-8511
Max Delbrück Center · DE

Funding

Cancer Research UK A17196Helmholtz Association Aging andMetabolic Programming (AMPro)
6 · The paper itself

Abstract

Reliable analyte identification is critical in metabolomics experiments to ensure proper interpretation of data. Due to chemical similarity of metabolites (as isobars and isomers) identification by mass spectrometry or chromatography alone can be difficult. Here we show that isomeric compounds are quite common in the metabolic space as given in common metabolite databases. Further, we show that retention information can shift dramatically between different experiments decreasing the value of external or even in-house compound databases. As a consequence the retention information in compound databases should be updated regularly, to allow a reliable identification. To do so we present a feasible and budget conscious method to guarantee updates of retention information on a regular basis using well designed compound mixtures. For this we combine compounds in "Ident-Mixes", showing a way to distinctly identify chemically similar compounds through combinatorics and principle of exclusion. We illustrate the feasibility of this approach by comparing Gas chromatography (GC)-columns with identical properties from three different vendors and by creating a compound database from measuring these mixtures by Liquid chromatography-mass spectrometry (LC-MS). The results show the high influence of used materials on retention behavior and the ability of our approach to generate high quality identifications in a short time.

Indexed as

chromatographyGC–MSidentificationLC–MSmetabolomicsretention indexstandardization

Identifiers

PMID33198249
PMCPMC7696895
OpenAlexW3098791159

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.