Evidence map›Paper›PMID 27921453›Full record

ArticleBioanalysis2017

Integrating ion mobility spectrometry into mass spectrometry-based exposome measurements: what can it add and how far can it go?

Thomas O Metz, Erin S Baker, Emma L Schymanski, Ryan S Renslow, Dennis G Thomas, Tim J Causon, Ian K Webb, Stephan Hann, Richard D Smith, Justin G Teeguarden

Abstract read
In one paragraph

Article in Bioanalysis, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

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  17. Evaluation ofJournal of chemical information and modeling · 2019
    Article
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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.

Thomas O MetzBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA.
Erin S BakerBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA.
Emma L SchymanskiEawag, Swiss Federal Institute of Aquatic Science & Technology, Dübendorf, Switzerland.
Ryan S RenslowBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA.
Dennis G ThomasBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA.
Tim J CausonDivision of Analytical Chemistry, Department of Chemistry, University of Natural Resources & Life Sciences (BOKU Vienna), Vienna, Austria.
Ian K WebbBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA.
Stephan HannDivision of Analytical Chemistry, Department of Chemistry, University of Natural Resources & Life Sciences (BOKU Vienna), Vienna, Austria.
Richard D SmithBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA.
Justin G TeeguardenBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA.

Funding

Equipment Supplement Request for a Research Resource for Ultra-sensitive High Throughput ProteomicsP41GM103493 · NIGMS · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI SMITH, RICHARD D · 2012 to 2022
$22.6M
Platform Providing Increased Throughput, Sensitivity and Specificity for MetaboloR01ES022190 · NIEHS · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI BAKER, ERIN S · 2012 to 2016
$2.2M
NIEHS NIH HHS R01 ES022190NIGMS NIH HHS P41 GM103493
6 · The paper itself

Abstract

Measuring the exposome remains a challenge due to the range and number of anthropogenic molecules that are encountered in our daily lives, as well as the complex systemic responses to these exposures. One option for improving the coverage, dynamic range and throughput of measurements is to incorporate ion mobility spectrometry (IMS) into current MS-based analytical methods. The implementation of IMS in exposomics studies will lead to more frequent observations of previously undetected chemicals and metabolites. LC-IMS-MS will provide increased overall measurement dynamic range, resulting in detections of lower abundance molecules. Alternatively, the throughput of IMS-MS alone will provide the opportunity to analyze many thousands of longitudinal samples over lifetimes of exposure, capturing evidence of transitory accumulations of chemicals or metabolites. The volume of data corresponding to these new chemical observations will almost certainly outpace the generation of reference data to enable their confident identification. In this perspective, we briefly review the state-of-the-art in measuring the exposome, and discuss the potential use for IMS-MS and the physico-chemical property of collisional cross section in both exposure assessment and molecular identification.

Indexed as

AnimalsChromatography, LiquidComputational BiologyHigh-Throughput Screening AssaysHumansMass SpectrometryMetabolomeWorkflowcollision cross sectionexposomeion mobility spectrometrymass spectrometrymetabolome

Identifiers

PMID27921453
PMCPMC5674211

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.