Evidence map›Paper›PMID 25254001›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2014

A Statistical Analysis of the Effects of Urease Pre-treatment on the Measurement of the Urinary Metabolome by Gas Chromatography-Mass Spectrometry.

Bobbie-Jo Webb-Robertson, Young-Mo Kim, Erika M Zink, Katherine A Hallaian, Qibin Zhang, Ramana Madupu, Katrina M Waters, Thomas O Metz

Open access · greenAbstract read
In one paragraph

Article in Metabolomics : Official journal of the Metabolomic Society, 2014. 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
1.0field-weighted citation impact, top 25% 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, 32 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
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 at 2 institutions in 1 country.

Bobbie-Jo Webb-RobertsonFundamental and Computational Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA USA.
Young-Mo KimFundamental and Computational Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA USA.
Erika M ZinkFundamental and Computational Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA USA.
Katherine A HallaianFundamental and Computational Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA USA.
Qibin ZhangFundamental and Computational Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA USA.
Ramana MadupuJ. Craig Venter Institute, Rockville, MD USA.
Katrina M WatersFundamental and Computational Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA USA.
Thomas O MetzFundamental and Computational Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA USA.
Pacific Northwest National Laboratory · USJ. Craig Venter Institute · US

Funding

T1D:Investigating the Gut Microbiome, Urinary Proteome and MetabolomeDP3DK094343 · NIDDK · J. CRAIG VENTER INSTITUTE, INC. · PI PIEPER, REMBERT · 2011 to 2011
$4.7M
NIDDK NIH HHS DP3 DK094343
6 · The paper itself

Abstract

Urease pre-treatment of urine has been utilized since the early 1960s to remove high levels of urea from samples prior to further processing and analysis by gas chromatography-mass spectrometry (GC-MS). Aside from the obvious depletion or elimination of urea, the effect, if any, of urease pre-treatment on the urinary metabolome has not been studied in detail. Here, we report the results of three separate but related experiments that were designed to assess possible indirect effects of urease pre-treatment on the urinary metabolome as measured by GC-MS. In total, 235 GC-MS analyses were performed and over 106 identified and 200 unidentified metabolites were quantified across the three experiments. The results showed that data from urease pre-treated samples 1) had the same or lower coefficients of variance among reproducibly detected metabolites, 2) more accurately reflected quantitative differences and the expected ratios among different urine volumes, and 3) increased the number of metabolite identifications. Overall, we observed no negative consequences of urease pre-treatment. In contrast, urease pretreatment enhanced the ability to distinguish between volume-based and biological sample types compared to no treatment. Taken together, these results show that urease pretreatment of urine offers multiple beneficial effects that outweigh any artifacts that may be introduced to the data in urinary metabolomics analyses.

Indexed as

gas chromatography-mass spectrometrymetabolomicsstatisticsureaseurine

Identifiers

PMID25254001
PMCPMC4169993
OpenAlexW2043749103

What OpenQuestion holds

Textmetadata
LicenceTDM
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.