Evidence map›Paper›PMID 28245357›Full record

ArticleJournal of proteome research2017

Optimization and Application of Direct Infusion Nanoelectrospray HRMS Method for Large-Scale Urinary Metabolic Phenotyping in Molecular Epidemiology.

Elena Chekmeneva, Gonçalo Dos Santos Correia, Queenie Chan, Anisha Wijeyesekera, Adrienne Tin, Jeffery Hunter Young, Paul Elliott, Jeremy K Nicholson, Elaine Holmes

Open access · greenAbstract read
In one paragraph

Article in Journal of proteome research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

15 citing papers in PubMed, 51 citations in OpenAlex.

  1. Single-Injection Multi-Omics Analysis by Direct Infusion Mass Spectrometry.Angewandte Chemie (International ed. in English) · 2026
    Article
  2. Article
  3. Review
  4. Article
  5. Large-Scale Interlaboratory DI-FT-ICR MS Comparability Study Employing Various Systems.Journal of the American Society for Mass Spectrometry · 2022
    Article
  6. Sunlight can convert atmospheric aerosols into a glassy solid state and modify their environmental impacts.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Omics-Driven Biotechnology for Industrial Applications.Frontiers in bioengineering and biotechnology · 2021
    Review
  12. Article
  13. Article
  14. Article
  15. 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

9 authors at 2 institutions in 2 countries.

Elena ChekmenevaBiomolecular Medicine, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London , South Kensington, London SW7 2AZ, United Kingdom.ORCID 0000-0003-1807-2398
Gonçalo Dos Santos CorreiaBiomolecular Medicine, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London , South Kensington, London SW7 2AZ, United Kingdom.ORCID 0000-0001-8271-9294
Queenie ChanDepartment of Epidemiology and Biostatistics, School of Public Health, Faculty of Medicine, Imperial College London , London W2 1PG, United Kingdom.
Anisha WijeyesekeraBiomolecular Medicine, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London , South Kensington, London SW7 2AZ, United Kingdom.ORCID 0000-0001-6151-5065
Adrienne TinDepartment of Medicine, Johns Hopkins University, School of Medicine , Baltimore, Maryland 21287, United States.
Jeffery Hunter YoungDepartment of Medicine, Johns Hopkins University, School of Medicine , Baltimore, Maryland 21287, United States.
Paul ElliottDepartment of Epidemiology and Biostatistics, School of Public Health, Faculty of Medicine, Imperial College London , London W2 1PG, United Kingdom.
Jeremy K NicholsonBiomolecular Medicine, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London , South Kensington, London SW7 2AZ, United Kingdom.
Elaine HolmesBiomolecular Medicine, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London , South Kensington, London SW7 2AZ, United Kingdom.ORCID 0000-0002-0556-8389
Imperial College London · GBJohns Hopkins University · US

Funding

INTL POPULATION STUDY ON MACRONUTRIENTS AND BP INTERMAPR01HL050490 · NHLBI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI DAVIGLUS, MARTHA L, ELLIOTT, PAUL · 1995 to 2013
$7.3M
Metabolomics-Measured Urinary Metabolites, Diet & BP, 17 Population Samples: INTER01HL084228 · NHLBI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI DAVIGLUS, MARTHA L, ELLIOTT, PAUL · 2007 to 2014
$4.2M
Medical Research Council MC_PC_12025Medical Research Council MR/L01341X/1Medical Research Council MR/L01632X/1NHLBI NIH HHS R01 HL050490NHLBI NIH HHS R01 HL084228
6 · The paper itself

Abstract

Large-scale metabolic profiling requires the development of novel economical high-throughput analytical methods to facilitate characterization of systemic metabolic variation in population phenotypes. We report a fit-for-purpose direct infusion nanoelectrospray high-resolution mass spectrometry (DI-nESI-HRMS) method with time-of-flight detection for rapid targeted parallel analysis of over 40 urinary metabolites. The newly developed 2 min infusion method requires <10 μL of urine sample and generates high-resolution MS profiles in both positive and negative polarities, enabling further data mining and relative quantification of hundreds of metabolites. Here we present optimization of the DI-nESI-HRMS method in a detailed step-by-step guide and provide a workflow with rigorous quality assessment for large-scale studies. We demonstrate for the first time the application of the method for urinary metabolic profiling in human epidemiological investigations. Implementation of the presented DI-nESI-HRMS method enabled cost-efficient analysis of >10 000 24 h urine samples from the INTERMAP study in 12 weeks and >2200 spot urine samples from the ARIC study in <3 weeks with the required sensitivity and accuracy. We illustrate the application of the technique by characterizing the differences in metabolic phenotypes of the USA and Japanese population from the INTERMAP study.

Indexed as

Chromatography, High Pressure LiquidFemaleHumansMaleMass SpectrometryMetabolomeMetabolomicsMolecular EpidemiologyNanotechnologyUrinedirect infusion mass spectrometryhigh-throughput analysismetabolic profilingmolecular epidemiology

Identifiers

PMID28245357
PMCPMC5387673
OpenAlexW2593955345

What OpenQuestion holds

Textmetadata
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.