Evidence map›Paper›PMID 28808178›Full record

ArticleJournal of breath research2017

Metabolomic profiles of plasma, exhaled breath condensate, and saliva are correlated with potential for air toxics detection.

Chandresh Nanji Ladva, Rachel Golan, Roby Greenwald, Tianwei Yu, Stefanie Ebelt Sarnat, W Dana Flanders, Karan Uppal, Douglas I Walker, ViLinh Tran, Donghai Liang and 2 more

Abstract read
In one paragraph

Article in Journal of breath research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 12% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

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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

12 authors at 3 institutions in 2 countries.

Chandresh Nanji LadvaDepartment of Environmental Health, Rollins School of Public Health, Emory University, 1518 Clifton Road, Atlanta, GA 30322, United States of America.ORCID 0000-0002-3521-2543
Rachel GolanDepartment of Public Health, Ben-Gurion University of the Negev, Beer Sheva, 84105, Israel.
Roby GreenwaldDepartment of Environmental Health, Georgia State University, 1 Park Place, Suite 714, Atlanta, GA 30303, United States of America.
Tianwei YuDepartment of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, 1518 Clifton Road, Atlanta, GA 30322, United States of America.
Stefanie Ebelt SarnatDepartment of Environmental Health, Rollins School of Public Health, Emory University, 1518 Clifton Road, Atlanta, GA 30322, United States of America.
W Dana FlandersDepartment of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, 1518 Clifton Road, Atlanta, GA 30322, United States of America.
Karan UppalClinical Biomarkers Laboratory, Division of Pulmonary, Allergy, and Critical Care Medicine, School of Medicine, Emory University, 100 Woodruff Circle, Atlanta, GA 30322, United States of America.
Douglas I WalkerClinical Biomarkers Laboratory, Division of Pulmonary, Allergy, and Critical Care Medicine, School of Medicine, Emory University, 100 Woodruff Circle, Atlanta, GA 30322, United States of America.
ViLinh TranClinical Biomarkers Laboratory, Division of Pulmonary, Allergy, and Critical Care Medicine, School of Medicine, Emory University, 100 Woodruff Circle, Atlanta, GA 30322, United States of America.
Donghai LiangDepartment of Environmental Health, Rollins School of Public Health, Emory University, 1518 Clifton Road, Atlanta, GA 30322, United States of America.
Dean P JonesClinical Biomarkers Laboratory, Division of Pulmonary, Allergy, and Critical Care Medicine, School of Medicine, Emory University, 100 Woodruff Circle, Atlanta, GA 30322, United States of America.
Jeremy A SarnatDepartment of Environmental Health, Rollins School of Public Health, Emory University, 1518 Clifton Road, Atlanta, GA 30322, United States of America.
Emory University · USBen-Gurion University of the Negev · ILGeorgia State University · US

Funding

Pilot Project ProgramP30ES019776 · NIEHS · EMORY UNIVERSITY · PI William Michael Caudle · 2013 to 2026
$22.6M
Graduate and Postdoctoral Training in ToxicologyT32ES012870 · NIEHS · EMORY UNIVERSITY · PI Carmen Joseph Marsit · 2004 to 2026
$9.1M
Orbitrap Elite/H-ESI BundleS10OD018006 · OD · EMORY UNIVERSITY · PI JONES, DEAN PAUL · 2014 to 2014
$600k
NIEHS NIH HHS P30 ES019776NIEHS NIH HHS T32 ES012870NIH HHS S10 OD018006
6 · The paper itself

Abstract

introductionAdvances in the development of high-resolution metabolomics (HRM) have provided new opportunities for their use in characterizing exposures to environmental air pollutants and air pollution-related disease etiologies. Exposure assessment studies have considered blood, breath, and saliva as biological matrices suitable for measuring responses to air pollution exposures. The current study examines comparability among these three matrices using HRM and explores their potential for measuring mobile-source air toxics.

methodsFour participants provided saliva, exhaled breath concentrate (EBC), and plasma before and after a 2 h road traffic exposure. Samples were analyzed on a Thermo Scientific QExactive MS system in positive electrospray ionization mode and resolution of 70 000 full-width at half-maximum with C18 chromatography. Data were processed using an apLCMS and xMSanalyzer on the R statistical platform.

resultsThe analysis yielded 7110, 6019, and 7747 reproducible features in plasma, EBC, and saliva, respectively. Correlations were moderate-to-strong (R = 0.41-0.80) across all pairwise comparisons of feature intensity within profiles, with the strongest between EBC and saliva. The associations of mean intensities between matrix pairs were positive and significant, controlling for subject and sampling time effects. Six out of 20 features shared in all three matrices putatively matched a list of known mobile-source air toxics.

conclusionsPlasma, saliva, and EBC have largely comparable metabolic profiles measurable through HRM. These matrices have the potential to be used in identification and measurement of exposures to mobile-source air toxics, though further, targeted study is needed.

Indexed as

ExhalationAdultAir PollutantsBreath TestsFemaleHumansMaleMetabolomeMetabolomicsMiddle AgedRegression AnalysisSalivaStatistics, NonparametricUnited StatesUnited States Environmental Protection AgencyAir Pollutants

Identifiers

PMID28808178
PMCPMC5803078
OpenAlexW2747609704

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.