Evidence map›Paper›PMID 23781873›Full record

ArticleAnalytical chemistry2013

Toward 'omic scale metabolite profiling: a dual separation-mass spectrometry approach for coverage of lipid and central carbon metabolism.

Julijana Ivanisevic, Zheng-Jiang Zhu, Lars Plate, Ralf Tautenhahn, Stephen Chen, Peter J O'Brien, Caroline H Johnson, Michael A Marletta, Gary J Patti, Gary Siuzdak

Open access · greenAbstract read
In one paragraph

Article in Analytical chemistry, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 137 papers.

0numbers the graph read from it
0cells of the map it votes in
137citing papers in PubMed
10.8field-weighted citation impact, top 1% 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

137 citing papers in PubMed, 267 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. Scanning central carbon metabolism: a HILIC-HR-TOF-MS metabolome method.Metabolomics : Official journal of the Metabolomic Society · 2026
    Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

77 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

10 authors at 3 institutions in 1 country.

Julijana IvanisevicScripps Center for Metabolomics and Mass Spectrometry, The Scripps Research Institute, La Jolla, California 92037, United States.
Zheng-Jiang Zhu
Lars Plate
Ralf Tautenhahn
Stephen Chen
Peter J O'Brien
Caroline H Johnson
Michael A Marletta
Gary J Patti
Gary Siuzdak
Scripps Research Institute · USPfizer (United States) · USWashington University in St. Louis · US

Funding

Therapeutics Core (Page 286)P30MH062261 · NIMH · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI GENDELMAN, HOWARD E · 2000 to 2021
$37.7M
Adult Stem Cells for Therapy of Visual DisordersR24EY017540 · NEI · SCRIPPS RESEARCH INSTITUTE, THE · PI FRIEDLANDER, MARTIN · 2007 to 2011
$17.5M
Univ of Calif Berkeley Chemistry-Biology Interface ProgramT32GM066698 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI CHANG, CHRISTOPHER J., FRANCIS, MATTHEW B · 2004 to 2023
$7.5M
Proteomic Strategies for AIDS and Drug Abuse - HIV and METH CNS SynergyP01DA026146 · NIDA · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI GENDELMAN, HOWARD E · 2008 to 2010
$2.9M
Normalizing Breast Cancer Metabolism to Prevent Progression and Recurrence (PQ21)R01CA170737 · NCI · SCRIPPS RESEARCH INSTITUTE, THE · PI FELDING, BRUNIE H. · 2012 to 2015
$2.1M
DEVELOPING THE UNTARGETED METABOLOMIC WORKFLOW FOR HIGH-THROUGHPUT ANALYSESR01ES022181 · NIEHS · WASHINGTON UNIVERSITY · PI PATTI, GARY J · 2012 to 2016
$1.8M
Griffin: Venous Thromboembolism and mass spectrometry-based untargeted metabolomiRC1HL101034 · NHLBI · SCRIPPS RESEARCH INSTITUTE, THE · PI DEGUCHI, HIROSHI, GRIFFIN, JOHN H · 2009 to 2010
$952k
NCI NIH HHS R01 CA170737NEI NIH HHS R24 EY017540NHLBI NIH HHS RC1 HL101034NIA NIH HHS L30 AG0 038036NIA NIH HHS L30 AG038036NIDA NIH HHS P01 DA026146NIEHS NIH HHS R01 ES022181NIGMS NIH HHS T32 GM066698NIMH NIH HHS P30 MH062261
6 · The paper itself

Abstract

Although the objective of any 'omic science is broad measurement of its constituents, such coverage has been challenging in metabolomics because the metabolome is comprised of a chemically diverse set of small molecules with variable physical properties. While extensive studies have been performed to identify metabolite isolation and separation methods, these strategies introduce bias toward lipophilic or water-soluble metabolites depending on whether reversed-phase (RP) or hydrophilic interaction liquid chromatography (HILIC) is used, respectively. Here we extend our consideration of metabolome isolation and separation procedures to integrate RPLC/MS and HILIC/MS profiling. An aminopropyl-based HILIC/MS method was optimized on the basis of mobile-phase additives and pH, followed by evaluation of reproducibility. When applied to the untargeted study of perturbed bacterial metabolomes, the HILIC method enabled the accurate assessment of key, dysregulated metabolites in central carbon pathways (e.g., amino acids, organic acids, phosphorylated sugars, energy currency metabolites), which could not be retained by RPLC. To demonstrate the value of the integrative approach, bacterial cells, human plasma, and cancer cells were analyzed by combined RPLC/HILIC separation coupled to ESI positive/negative MS detection. The combined approach resulted in the observation of metabolites associated with lipid and central carbon metabolism from a single biological extract, using 80% organic solvent (ACN:MeOH:H2O 2:2:1). It enabled the detection of more than 30,000 features from each sample type, with the highest number of uniquely detected features by RPLC in ESI positive mode and by HILIC in ESI negative mode. Therefore, we conclude that when time and sample are limited, the maximum amount of biological information related to lipid and central carbon metabolism can be acquired by combining RPLC ESI positive and HILIC ESI negative mode analysis.

Indexed as

Lipid MetabolismBurkitt LymphomaCarbonChromatography, LiquidHumansMass SpectrometryMetabolomicsTandem Mass SpectrometryCarbon

Identifiers

PMID23781873
PMCPMC3761963
OpenAlexW2013233148

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.