Evidence map›Paper›PMID 25787789›Full record

ArticleMolecular & cellular proteomics : MCP2015

Optimized Analytical Procedures for the Untargeted Metabolomic Profiling of Human Urine and Plasma by Combining Hydrophilic Interaction (HILIC) and Reverse-Phase Liquid Chromatography (RPLC)-Mass Spectrometry.

Kévin Contrepois, Lihua Jiang, Michael Snyder

Abstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 98 papers.

0numbers the graph read from it
0cells of the map it votes in
98citing 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

98 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. A Practical Framework for Wastewater-Based Monitoring of Substance Use in Public Health Settings.International journal of environmental research and public health · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Systemic elevation of gut derivedFrontiers in physiology · 2026
    Article
  15. Article
  16. Article
  17. Review
  18. Investigating stage-specific metabolic alterations in colorectal cancer through urine metabolomics.Metabolomics : Official journal of the Metabolomic Society · 2025
    Article
  19. Article
  20. Oxidative stress is a shared characteristic of ME/CFS and Long COVID.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article

38 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

3 authors.

Kévin ContrepoisFrom the Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
Lihua JiangFrom the Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
Michael SnyderFrom the Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA mpsnyder@stanford.edu.

Funding

INSTITUTIONAL TRAINING GRANT IN GENOME SCIENCET32HG000044 · NHGRI · STANFORD UNIVERSITY · PI MICHAEL P. SNYDER · 1995 to 2026
$32.2M
Pulmonary Hypertension Breakthrough InitiativeR24HL123767 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI ALDRED, MICHEALA A, ERZURUM, SERPIL C. · 2014 to 2017
$10.1M
iPSC Derived EC as Surrogates Using Pulmonary Hypertension as a Prototype DiseaseU01HL107393 · NHLBI · STANFORD UNIVERSITY · PI RABINOVITCH, MARLENE, SNYDER, MICHAEL P. · 2011 to 2015
$8.7M
Longitudinal Multiomics Microbial Profiling in Healthy and Disease IndividualsU54DK102556 · NIDDK · STANFORD UNIVERSITY · PI SNYDER, MICHAEL P., WEINSTOCK, GEORGE M · 2014 to 2015
$7.7M
Airway redox biochemistry as a deteriminant of asthma phenotype during adolescen*U10HL109250 · NHLBI · UNIVERSITY OF VIRGINIA · PI ERZURUM, SERPIL C., GASTON, BENJAMIN · 2011 to 2016
$4.2M
NHGRI NIH HHS T32 HG000044NHLBI NIH HHS R24 HL123767NHLBI NIH HHS U01 HL107393NHLBI NIH HHS U10 HL109250NIDDK NIH HHS 8U54DK102556NIDDK NIH HHS U54 DK102556
6 · The paper itself

Abstract

Profiling of body fluids is crucial for monitoring and discovering metabolic markers of health and disease and for providing insights into human physiology. Since human urine and plasma each contain an extreme diversity of metabolites, a single liquid chromatographic system when coupled to mass spectrometry (MS) is not sufficient to achieve reasonable metabolome coverage. Hydrophilic interaction liquid chromatography (HILIC) offers complementary information to reverse-phase liquid chromatography (RPLC) by retaining polar metabolites. With the objective of finding the optimal combined chromatographic solution to profile urine and plasma, we systematically investigated the performance of five HILIC columns with different chemistries operated at three different pH (acidic, neutral, basic) and five C18-silica RPLC columns. The zwitterionic column ZIC-HILIC operated at neutral pH provided optimal performance on a large set of hydrophilic metabolites. The RPLC columns Hypersil GOLD and Zorbax SB aq were proven to be best suited for the metabolic profiling of urine and plasma, respectively. Importantly, the optimized HILIC-MS method showed excellent intrabatch peak area reproducibility (CV < 12%) and good long-term interbatch (40 days) peak area reproducibility (CV < 22%) that were similar to those of RPLC-MS procedures. Finally, combining the optimal HILIC- and RPLC-MS approaches greatly expanded metabolome coverage with 44% and 108% new metabolic features detected compared with RPLC-MS alone for urine and plasma, respectively. The proposed combined LC-MS approaches improve the comprehensiveness of global metabolic profiling of body fluids and thus are valuable for monitoring and discovering metabolic changes associated with health and disease in clinical research studies.

Indexed as

MetabolomeChromatography, Reverse-PhaseHumansHydrophobic and Hydrophilic InteractionsMass SpectrometryMetabolomicsPlasmaUrine

Identifiers

PMID25787789
PMCPMC4458729

What OpenQuestion holds

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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.