Evidence map›Paper›PMID 32182259›Full record

ArticlePloS one2020

Systematic re-evaluation of the long-used standard protocol of urease-dependent metabolome sample preparation.

Jungyeon Kim, Joong Kyong Ahn, Yu Eun Cheong, Sung-Joon Lee, Hoon-Suk Cha, Kyoung Heon Kim

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.8field-weighted citation impact, top 31% 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

11 citing papers in PubMed, 13 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 3 institutions in 1 country.

Jungyeon KimDepartment of Biotechnology, Graduate School, Korea University, Seoul, Republic of Korea.
Joong Kyong AhnDivision of Rheumatology, Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Yu Eun CheongDepartment of Biotechnology, Graduate School, Korea University, Seoul, Republic of Korea.
Sung-Joon LeeDepartment of Biotechnology, Graduate School, Korea University, Seoul, Republic of Korea.
Hoon-Suk ChaDivision of Rheumatology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Kyoung Heon KimDepartment of Biotechnology, Graduate School, Korea University, Seoul, Republic of Korea.ORCID 0000-0003-4600-8668
Korea University · KRKangbuk Samsung Hospital · KRSamsung Medical Center · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the urinary metabolomics for finding biomarkers in urine, owing to high concentrations of urea, for chromatography-based metabolomic analysis, urea needed to be degraded by urease. This urease pretreatment has been the key step of sample preparation for standard urinary metabolomics until today even for mass spectrometry-based analysis. The urease pretreatment involving incubation of urine with urease contradicts the concept of metabolome sampling, which should immediately arrest metabolic reactions to prevent alterations of a metabolite profile. Nonetheless, the impact of urease pretreatment has not been clearly elucidated yet. We found that activities of urease and endogenous urinary enzymes and metabolite contaminants from the urease preparations introduce artefacts into metabolite profiles, thus leading to misinterpretation.

Indexed as

MetabolomeAdultBiomarkersFemaleHealthy VolunteersHumansMaleMetabolomicsMiddle AgedSpecimen HandlingUreaseUrinalysisUrineBiomarkersUrease

Identifiers

PMID32182259
PMCPMC7077817
OpenAlexW3012348399

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.