Evidence map›Paper›PMID 29276770›Full record

ArticleClinical mass spectrometry (Del Mar, Calif.)2016

SPE-IMS-MS: An automated platform for sub-sixty second surveillance of endogenous metabolites and xenobiotics in biofluids.

Xing Zhang, Michelle Romm, Xueyun Zheng, Erika M Zink, Young-Mo Kim, Kristin E Burnum-Johnson, Daniel J Orton, Alex Apffel, Yehia M Ibrahim, Matthew E Monroe and 17 more

Open access · hybridAbstract read
In one paragraph

Article in Clinical mass spectrometry (Del Mar, Calif.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

33 citing papers in PubMed, 78 citations in OpenAlex.

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  8. AutonoMS: Automated Ion Mobility Metabolomic Fingerprinting.Journal of the American Society for Mass Spectrometry · 2024
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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

27 authors at 3 institutions in 1 country.

Xing ZhangEarth and Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, United States.
Michelle RommAgilent Technologies, Santa Clara, CA, United States.
Xueyun ZhengEarth and Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, United States.
Erika M ZinkEarth and Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, United States.
Young-Mo KimEarth and Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, United States.
Kristin E Burnum-JohnsonEarth and Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, United States.
Daniel J OrtonEarth and Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, United States.
Alex ApffelAgilent Technologies, Santa Clara, CA, United States.
Yehia M IbrahimEarth and Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, United States.
Matthew E MonroeEarth and Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, United States.
Ronald J MooreEarth and Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, United States.
Jordan N SmithEarth and Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, United States.
Jian MaEarth and Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, United States.
Ryan S RenslowEarth and Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, United States.
Dennis G ThomasEarth and Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, United States.
Anne E BlackwellAgilent Technologies, Santa Clara, CA, United States.
Glenn SwinfordAgilent Technologies, Santa Clara, CA, United States.
John SausenAgilent Technologies, Santa Clara, CA, United States.
Ruwan T KurulugamaAgilent Technologies, Santa Clara, CA, United States.
Nathan EnoAgilent Technologies, Santa Clara, CA, United States.
Ed DarlandAgilent Technologies, Santa Clara, CA, United States.
George StaffordAgilent Technologies, Santa Clara, CA, United States.
John FjeldstedAgilent Technologies, Santa Clara, CA, United States.
Thomas O MetzEarth and Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, United States.
Justin G TeeguardenEarth and Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, United States.
Richard D SmithEarth and Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, United States.
Erin S BakerEarth and Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, United States.
Pacific Northwest National Laboratory · USAgilent Technologies (United States) · USOregon State University · US

Funding

Systems Biology Identifies Restriction Factors for West Nile VirusU19AI106772 · NIAID · UNIVERSITY OF WISCONSIN-MADISON · PI WATERS, KATRINA M. · 2013 to 2017
$26.1M
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
NIAID NIH HHS U19 AI106772NIEHS NIH HHS R01 ES022190NIGMS NIH HHS P41 GM103493
6 · The paper itself

Abstract

Characterization of endogenous metabolites and xenobiotics is essential to deconvoluting the genetic and environmental causes of disease. However, surveillance of chemical exposure and disease-related changes in large cohorts requires an analytical platform that offers rapid measurement, high sensitivity, efficient separation, broad dynamic range, and application to an expansive chemical space. Here, we present a novel platform for small molecule analyses that addresses these requirements by combining solid-phase extraction with ion mobility spectrometry and mass spectrometry (SPE-IMS-MS). This platform is capable of performing both targeted and global measurements of endogenous metabolites and xenobiotics in human biofluids with high reproducibility (CV 6 3%), sensitivity (LODs in the pM range in biofluids) and throughput (10-s sample-to-sample duty cycle). We report application of this platform to the analysis of human urine from patients with and without type 1 diabetes, where we observed statistically significant variations in the concentration of disaccharides and previously unreported chemical isomers. This SPE-IMS-MS platform overcomes many of the current challenges of large-scale metabolomic and exposomic analyses and offers a viable option for population and patient cohort screening in an effort to gain insights into disease processes and human environmental chemical exposure.

Indexed as

ExposomicsIon mobility spectrometryMass spectrometryMetabolomics

Identifiers

PMID29276770
PMCPMC5739065
OpenAlexW2562386373

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.