Evidence map›Paper›PMID 26745651›Full record

ReviewJournal of proteome research2016

Recommendations and Standardization of Biomarker Quantification Using NMR-Based Metabolomics with Particular Focus on Urinary Analysis.

Abdul-Hamid Emwas, Raja Roy, Ryan T McKay, Danielle Ryan, Lorraine Brennan, Leonardo Tenori, Claudio Luchinat, Xin Gao, Ana Carolina Zeri, G A Nagana Gowda and 4 more

Registry-linked trialAbstract readReview
In one paragraph

Review in Journal of proteome research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02683876 (Metabolomic Profiling of Urine Samples for the Identification of Novel Biomarkers and Mechanisms in the Diagnosis and Management of Malodor Associated With Metabolic Inefficiencies), which is not on this map. Cited by 82 papers.

0numbers the graph read from it
0cells of the map it votes in
82citing 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.

NCT02683876 completednot on this map

Metabolomic Profiling of Urine Samples for the Identification of Novel Biomarkers and Mechanisms in the Diagnosis and Management of Malodor Associated With Metabolic Inefficiencies

TypeobservationalSponsorMebo Research, Inc.Ran2016 to 2018Enrolled39ConditionsNutritional and Metabolic Diseases
3 · Its place in the literature

Who cites it

82 citing papers in PubMed.

  1. Trial
  2. Article
  3. Recent Trends in Metabolomics by NMR Spectroscopy.Angewandte Chemie (International ed. in English) · 2026
    Review
  4. Review
  5. Association of age-related macular degeneration with exposome related metabolomics.Metabolomics : Official journal of the Metabolomic Society · 2026
    Article
  6. Article
  7. Article
  8. Exploring metabolic signatures in urine using NMR for improved prognosis of gliomas.Metabolomics : Official journal of the Metabolomic Society · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Investigation of pH-dependentInternational journal of obesity (2005) · 2025
    Article
  14. Article
  15. Article
  16. The Potential Effect of Bualuang (WhiteLife (Basel, Switzerland) · 2024
    Article
  17. Article
  18. Article
  19. Article
  20. Article

22 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

14 authors.

Abdul-Hamid EmwasImaging and Characterization Core Lab, KAUST , Thuwal 23955-6900, Kingdom of Saudi Arabia.
Raja RoyCentre of Biomedical Research, formerly, Centre of Biomedical Magnetic Resonance, Sanjay Gandhi Post-Graduate Institute of Medical Sciences Campus , Lucknow, Uttar Pradesh, India.
Ryan T McKayDepartment of Chemistry, University of Alberta , Edmonton, Alberta, Canada.
Danielle RyanSchool of Agricultural and Wine Sciences, Charles Sturt University , Bathurst, New South Wales, Australia.
Lorraine BrennanUCD Insitute of Food and Health, UCD , Belfield, Dublin, Ireland.
Leonardo TenoriFiorGen Foundation , 50019 Sesto Fiorentino, Florence, Italy.
Claudio LuchinatCentro Risonanze Magnetiche - CERM, University of Florence , Florence, Italy.
Xin GaoComputational Bioscience Research Center, Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST) , Thuwal 23955-6900, Kingdom of Saudi Arabia.
Ana Carolina ZeriBrazilian Biosciences National Laboratory, LNBio , Campinas, São Paulo, Brazil.
G A Nagana GowdaNorthwest Metabolomics Research Center, Department of Anesthesiology and Pain Medicine, University of Washington , 850 Republican Street, Seattle, Washington 98109, United States.
Daniel RafteryNorthwest Metabolomics Research Center, Department of Anesthesiology and Pain Medicine, University of Washington , 850 Republican Street, Seattle, Washington 98109, United States.
Christoph SteinbeckEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI) , Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, United Kingdom.
Reza M SalekEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI) , Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, United Kingdom.
David S WishartDepartment of Biological Sciences, University of Alberta , Edmonton, Alberta, Canada.

Funding

Advanced Methods in NMR-Based MetabolomicsR01GM085291 · NIGMS · UNIVERSITY OF WASHINGTON · PI RAFTERY, DANIEL · 2008 to 2016
$2.7M
NIGMS NIH HHS R01 GM085291NIGMS NIH HHS R01GM085291
6 · The paper itself

Abstract

NMR-based metabolomics has shown considerable promise in disease diagnosis and biomarker discovery because it allows one to nondestructively identify and quantify large numbers of novel metabolite biomarkers in both biofluids and tissues. Precise metabolite quantification is a prerequisite to move any chemical biomarker or biomarker panel from the lab to the clinic. Among the biofluids commonly used for disease diagnosis and prognosis, urine has several advantages. It is abundant, sterile, and easily obtained, needs little sample preparation, and does not require invasive medical procedures for collection. Furthermore, urine captures and concentrates many "unwanted" or "undesirable" compounds throughout the body, providing a rich source of potentially useful disease biomarkers; however, incredible variation in urine chemical concentrations makes analysis of urine and identification of useful urinary biomarkers by NMR challenging. We discuss a number of the most significant issues regarding NMR-based urinary metabolomics with specific emphasis on metabolite quantification for disease biomarker applications and propose data collection and instrumental recommendations regarding NMR pulse sequences, acceptable acquisition parameter ranges, relaxation effects on quantitation, proper handling of instrumental differences, sample preparation, and biomarker assessment.

Indexed as

BiomarkersGuidelines as TopicHumansMagnetic Resonance SpectroscopyMetabolomicsReference StandardsReproducibility of ResultsUrinalysisBiomarkersdiseasemetabolitesNMRquantificationquantitative analysisrecommendationsstandardizationurine

Identifiers

PMID26745651
PMCPMC4865177

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.