Evidence map›Paper›PMID 26358001›Full record

ArticleToxicological sciences : an official journal of the Society of Toxicology2015

Reference Standardization for Mass Spectrometry and High-resolution Metabolomics Applications to Exposome Research.

Young-Mi Go, Douglas I Walker, Yongliang Liang, Karan Uppal, Quinlyn A Soltow, ViLinh Tran, Frederick Strobel, Arshed A Quyyumi, Thomas R Ziegler, Kurt D Pennell and 2 more

Open access · bronzeAbstract readEvaluation Study
In one paragraph

Article in Toxicological sciences : an official journal of the Society of Toxicology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 199 papers.

0numbers the graph read from it
0cells of the map it votes in
199citing papers in PubMed
10.4field-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

199 citing papers in PubMed, 242 citations in OpenAlex.

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  6. Metabolomics of Aerobic Exercise in Chronic Stroke Survivors: A Pilot Study.Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association · 2019
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139 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

12 authors at 3 institutions in 1 country.

Young-Mi Go*Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, Emory University, Atlanta, Georgia 30322;
Douglas I Walker*Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, Emory University, Atlanta, Georgia 30322; †Department of Civil and Environmental Engineering, Tufts University, Medford, Massachusetts 02155;
Yongliang Liang*Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, Emory University, Atlanta, Georgia 30322;
Karan Uppal*Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, Emory University, Atlanta, Georgia 30322;
Quinlyn A Soltow*Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, Emory University, Atlanta, Georgia 30322;
ViLinh Tran*Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, Emory University, Atlanta, Georgia 30322;
Frederick StrobelChemistry Department;
Arshed A QuyyumiCardiology and.
Thomas R ZieglerEndocrinology, Metabolism and Lipids, Department of Medicine, Atlanta, Georgia 30322; and.
Kurt D Pennell†Department of Civil and Environmental Engineering, Tufts University, Medford, Massachusetts 02155;
Gary W MillerDepartment of Environmental Health Sciences, Emory University, Atlanta, Georgia 30322.
Dean P Jones*Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, Emory University, Atlanta, Georgia 30322; dpjones@emory.edu.
Emory University · USTufts University · USDivision of Chemistry · US

Funding

Atlanta Clinical and Translational Science Institute (ACTSI) RenewalUL1TR000454 · NCATS · EMORY UNIVERSITY · PI STEPHENS, DAVID S · 2012 to 2016
$25.8M
Pilot Project ProgramP30ES019776 · NIEHS · EMORY UNIVERSITY · PI Carmen Joseph Marsit · 2013 to 2026
$22.6M
Graduate and Postdoctoral Training in ToxicologyT32ES012870 · NIEHS · EMORY UNIVERSITY · PI Carmen Joseph Marsit · 2004 to 2026
$9.1M
Critical Care Training ProgramT32GM095442 · NIGMS · EMORY UNIVERSITY · PI Craig M Coopersmith · 2011 to 2026
$4.7M
Metabolomics of subclinical and clinical cardiovascular diseaseP20HL113451 · NHLBI · EMORY UNIVERSITY · PI JONES, DEAN PAUL · 2012 to 2016
$4.3M
A metabolomic model of aging in the common marmosetR01AG038746 · NIA · EMORY UNIVERSITY · PI JONES, DEAN PAUL, PROMISLOW, DANIEL EDWARD · 2010 to 2014
$2.5M
Cytoplasmic-nuclear redox signaling: Disruption by dietary cadmium levelsR01ES023485 · NIEHS · EMORY UNIVERSITY · PI GO KANG, YOUNG-MI, JONES, DEAN PAUL · 2014 to 2018
$1.8M
Patient Oriented Research In Clinical NutritionK24DK096574 · NIDDK · EMORY UNIVERSITY · PI ZIEGLER, THOMAS R · 2012 to 2016
$888k
Orbitrap Elite/H-ESI BundleS10OD018006 · OD · EMORY UNIVERSITY · PI JONES, DEAN PAUL · 2014 to 2014
$600k
Mitochondria Environmental Stress Signaling NetworksR21ES025632 · NIEHS · EMORY UNIVERSITY · PI GO KANG, YOUNG-MI, JONES, DEAN PAUL · 2015 to 2017
$576k
NCATS NIH HHS UL1 TR000454NHLBI NIH HHS P20 HL113451NHLBI NIH HHS R01 HL113451NIDDK NIH HHS K24 DK096574NIEHS NIH HHS P30 ES019776NIEHS NIH HHS R01 ES019776NIEHS NIH HHS R01 ES023485NIEHS NIH HHS R21 ES025632NIEHS NIH HHS T32 ES012870NIGMS NIH HHS T32 GM095442NIH HHS S10 OD018006
6 · The paper itself

Abstract

The exposome is the cumulative measure of environmental influences and associated biological responses throughout the lifespan, including exposures from the environment, diet, behavior, and endogenous processes. A major challenge for exposome research lies in the development of robust and affordable analytic procedures to measure the broad range of exposures and associated biologic impacts occurring over a lifetime. Biomonitoring is an established approach to evaluate internal body burden of environmental exposures, but use of biomonitoring for exposome research is often limited by the high costs associated with quantification of individual chemicals. High-resolution metabolomics (HRM) uses ultra-high resolution mass spectrometry with minimal sample preparation to support high-throughput relative quantification of thousands of environmental, dietary, and microbial chemicals. HRM also measures metabolites in most endogenous metabolic pathways, thereby providing simultaneous measurement of biologic responses to environmental exposures. The present research examined quantification strategies to enhance the usefulness of HRM data for cumulative exposome research. The results provide a simple reference standardization protocol in which individual chemical concentrations in unknown samples are estimated by comparison to a concurrently analyzed, pooled reference sample with known chemical concentrations. The approach was tested using blinded analyses of amino acids in human samples and was found to be comparable to independent laboratory results based on surrogate standardization or internal standardization. Quantification was reproducible over a 13-month period and extrapolated to thousands of chemicals. The results show that reference standardization protocol provides an effective strategy that will enhance data collection for cumulative exposome research. In principle, the approach can be extended to other types of mass spectrometry and other analytical methods.

Indexed as

EnvironmentEnvironmental ExposureReference StandardsAdultAgedAged, 80 and overAmino AcidsBiomarkersBody BurdenChromatography, LiquidEnvironmental MonitoringFemaleHigh-Throughput Screening AssaysHumansMaleMetabolomicsAmino AcidsBiomarkersamino acidsanalytical chemistryenvironmentmass spectrometrymetabolomics

Identifiers

PMID26358001
PMCPMC4675836
OpenAlexW1456625250

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.