Evidence map›Paper›PMID 31108909›Full record

ArticleMetabolites2019

Effects of Long-Term Storage at -80 °C on the Human Plasma Metabolome.

Antje Wagner-Golbs, Sebastian Neuber, Beate Kamlage, Nicole Christiansen, Bianca Bethan, Ulrike Rennefahrt, Philipp Schatz, Lars Lind

Abstract read
In one paragraph

Article in Metabolites, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed
–field-weighted citation impact
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

72 citing papers in PubMed.

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12 more citing papers are in PubMed but not listed here.

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

8 authors.

Antje Wagner-GolbsMetanomics Health GmbH, Tegeler Weg 33, 10589 Berlin, Germany. antje.wagner-golbs@metanomics-health.de.
Sebastian NeuberBiocrates Life Sciences AG, Eduard-Bodem-Gasse 8, 6020 Innsbruck, Austria. sebastian.neuber@biocrates.com.
Beate KamlageMetanomics Health GmbH, Tegeler Weg 33, 10589 Berlin, Germany. beate.kamlage@metanomics-health.de.ORCID 0000-0003-2003-9036
Nicole ChristiansenMetanomics Health GmbH, Tegeler Weg 33, 10589 Berlin, Germany. nicole.christiansen@metanomics-health.de.
Bianca BethanMetanomics Health GmbH, Tegeler Weg 33, 10589 Berlin, Germany. bianca.bethan@metanomics-health.de.
Ulrike RennefahrtMetanomics Health GmbH, Tegeler Weg 33, 10589 Berlin, Germany. ulrike.rennefahrt@metanomics-health.de.
Philipp SchatzMetanomics Health GmbH, Tegeler Weg 33, 10589 Berlin, Germany. philipp.schatz@astrazeneca.com.
Lars LindDepartment of Medical Sciences, Cardiovascular Epidemiology, Uppsala University, Dag Hammarskjöldsv 10 B, Uppsala Science Park, 75237 Uppsala, Sweden. lars.lind@medsci.uu.se.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-quality biological samples are required for the favorable outcome of research studies, and valid data sets are crucial for successful biomarker identification. Prolonged storage of biospecimens may have an artificial effect on compound levels. In order to investigate the potential effects of long-term storage on the metabolome, human ethylenediaminetetraacetic acid (EDTA) plasma samples stored for up to 16 years were analyzed by gas and liquid chromatography-tandem mass spectrometry-based metabolomics. Only 2% of 231 tested plasma metabolites were altered in the first seven years of storage. However, upon longer storage periods of up to 16 years and more time differences of few years significantly affected up to 26% of the investigated metabolites when analyzed within subject age groups. Ontology classes that were most affected included complex lipids, fatty acids, energy metabolism molecules, and amino acids. In conclusion, the human plasma metabolome is adequately stable to long-term storage at -80 °C for up to seven years but significant changes occur upon longer storage. However, other biospecimens may display different sensitivities to long-term storage. Therefore, in retrospective studies on EDTA plasma samples, analysis is best performed within the first seven years of storage.

Indexed as

biomarkerlong-term stabilitymass spectrometrymetabolomicsplasmastorage

Identifiers

PMID31108909
PMCPMC6572224

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Registered trials

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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.