Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 342

The DOI matches its Crossref record; 139 of the 139 references it cites were found in a registry or an index.

Mass spectrometric based approaches in urine metabolomics and biomarker discovery

Open access
Khamis, Mona M., Adamko, Darryl J., El‐Aneed, Anas·2017·Mass Spectrometry Reviews
DOI 10.1002/mas.21455
Open this paper in CoChat — free account

Abstract

Urine metabolomics has recently emerged as a prominent field for the discovery of non‐invasive biomarkers that can detect subtle metabolic discrepancies in response to a specific disease or therapeutic intervention. Urine, compared to other biofluids, is characterized by its ease of collection, richness in metabolites and its ability to reflect imbalances of all biochemical pathways within the body. Following urine collection for metabolomic analysis, samples must be immediately frozen to quench any biogenic and/or non‐biogenic chemical reactions. According to the aim of the experiment; sample preparation can vary from simple procedures such as filtration to more specific extraction protocols such as liquid‐liquid extraction. Due to the lack of comprehensive studies on urine metabolome stability, higher storage temperatures (i.e. 4°C) and repetitive freeze‐thaw cycles should be avoided. To date, among all analytical techniques, mass spectrometry (MS) provides the best sensitivity, selectivity and identification capabilities to analyze the majority of the metabolite composition in the urine. Combined with the qualitative and quantitative capabilities of MS, and due to the continuous improvements in its related technologies (i.e. ultra high‐performance liquid chromatography [UPLC] and hydrophilic interaction liquid chromatography [HILIC]), liquid chromatography (LC)‐MS is unequivocally the most utilized and the most informative analytical tool employed in urine metabolomics. Furthermore, differential isotope tagging techniques has provided a solution to ion suppression from urine matrix thus allowing for quantitative analysis. In addition to LC‐MS, other MS‐based technologies have been utilized in urine metabolomics. These include direct injection (infusion)‐MS, capillary electrophoresis‐MS and gas chromatography‐MS. In this article, the current progresses of different MS‐based techniques in exploring the urine metabolome as well as the recent findings in providing potentially diagnostic urinary biomarkers are discussed. © 2015 Wiley Periodicals, Inc. Mass Spec Rev 36:115–134, 2017.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/mas.21455

Cites

139 of 139 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Research works printed but not linked: 23

  1. 10.1016/j.toxlet.2005.05.013 · doi:10.1016/j.toxlet.2005.05.013
  2. 10.1093/clinchem/39.12.2503 · doi:10.1093/clinchem/39.12.2503
  3. 10.1038/bjc.1955.6 · doi:10.1038/bjc.1955.6
  4. Hee SQ, 1993, Biological monitoring: an introduction, 141
  5. 10.1016/j.cca.2011.06.027 · doi:10.1016/j.cca.2011.06.027
  6. 10.1107/S0907444902017067 · doi:10.1107/s0907444902017067
  7. 10.1021/ac020101a · doi:10.1021/ac020101a
  8. Jung K, 1983, Particulate and free enzyme activity in urine as a result of the shedding of brush‐border membranes from kidney, Clin Chim, 29, 392, 10.1093/clinchem/29.2.392 · doi:10.1093/clinchem/29.2.392
  9. 10.1016/j.jchromb.2010.11.028 · doi:10.1016/j.jchromb.2010.11.028
  10. Levine L, 1945, Evaluation of urinary lead concentrations. I. The significance of the specific gravity, J Ind Hyg Toxicol, 27, 217
  11. 10.1016/j.jasms.2010.02.021 · doi:10.1016/j.jasms.2010.02.021
  12. 10.2174/1874467211205020301 · doi:10.2174/1874467211205020301
  13. 10.1016/j.aca.2013.07.045 · doi:10.1016/j.aca.2013.07.045
  14. 10.1002/jssc.200900270 · doi:10.1002/jssc.200900270
  15. 10.1002/rcm.2407 · doi:10.1002/rcm.2407
  16. Roberts LD, 2012, Targeted metabolomics. Current Protocols in Molecular Biology
  17. 10.1016/j.chroma.2012.06.067 · doi:10.1016/j.chroma.2012.06.067
  18. 10.1002/(SICI)1098-2787(1998)17:3<131::AID-MAS1>3.0.CO;2-O · doi:10.1002/(sici)1098-2787(1998)17:3<131::aid-mas1>3.0.co;2-o
  19. 10.1002/bmc.392 · doi:10.1002/bmc.392
  20. 10.1667/RR1703.1 · doi:10.1667/rr1703.1
  21. 10.1016/j.aca.2009.06.033 · doi:10.1016/j.aca.2009.06.033
  22. 10.1002/elps.200800156 · doi:10.1002/elps.200800156
  23. 10.1016/j.ijms.2012.02.019 · doi:10.1016/j.ijms.2012.02.019

Cited by

See all 342

Metadata

Authors
Khamis, M. M., Adamko, D. J., & El‐Aneed, A.
Venue
Mass Spectrometry Reviews
Publisher
Wiley
Published
2015-04-16
Volume
36
Issue
2
Pages
115-134
ISSN
  • 0277-7037 (ISSN-L)
  • 1098-2787
DOI
10.1002/mas.21455
OpenAlex
W2120171195
Cited by
342
References
139
FWCI
6.69
Type
journal article
Language
en
Open access
green
Licence
onlinelibrary.wiley.com/termsAndConditions#vor (vor)

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.