Evidence map›Paper›PMID 34921852›Full record

ArticleChemosphere2022

Comparison of untargeted and targeted perfluoroalkyl acids measured in adolescent girls.

Lauren M Petrick, Mary S Wolff, Dinesh Barupal, Susan L Teitelbaum

Open access · greenAbstract read
In one paragraph

Article in Chemosphere, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

7 citing papers in PubMed, 16 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

4 authors at 1 institution in 1 country.

Lauren M PetrickDepartment of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA. Electronic address: lauren.petrick@mssm.edu.
Mary S WolffDepartment of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Dinesh BarupalDepartment of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Susan L TeitelbaumDepartment of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Icahn School of Medicine at Mount Sinai · US

Funding

ZIPRASIDONE (GEODON) AUGMENTATION IN SEROTONIN REUPTAKE INHIBITOR-RESISTANT OBM01RR000071 · NCRR · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI GOODMAN, MARC T · 1985 to 2009
$41.5M
Statistical Services and Methods Development ResourceU2CES026555 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI GENNINGS, CHRIS · 2015 to 2025
$26.4M
Untargeted Analysis ResourceU2CES026561 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI WRIGHT, ROBERT O · 2015 to 2025
$24.5M
The Mount Sinai Transdisciplinary Center on Early Environmental ExposuresP30ES023515 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Manish Arora · 2014 to 2026
$21.3M
MOUNT SINAI INSTITUTES FOR CLINICAL AND TRANSLATIONAL SCIENCESUL1RR029887 · NCRR · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI SAMPSON, HUGH A · 2009 to 2011
$19.2M
Untargeted Analysis ResourceU2CES030859 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI ARORA, MANISH · 2019 to 2025
$8.2M
PRENATAL PCB EXPOSURE &NEURODEVELOPMENTAL OUTCOMES IN ADOLESCENCE &ADULTHOODP01ES009584 · NIEHS · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI WOLFF, MARY S · 1999 to 2009
$7.3M
Environmental and Genetic Determinants of PubertyU01ES019454 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI WOLFF, MARY S · 2010 to 2016
$5.8M
Environmental chemical mixtures and metabolomics in autism spectrum disorderR01ES031117 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI PETRICK, LAUREN · 2020 to 2024
$3.3M
Discovery of early life causes of autism spectrum disorder through retrospective metabolomics and proteome analysis of teethR21ES030882 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI ANDRA, SYAM S, PETRICK, LAUREN · 2019 to 2020
$466k
NCRR NIH HHS M01 RR000071NCRR NIH HHS UL1 RR029887NIEHS NIH HHS P01 ES009584NIEHS NIH HHS P30 ES023515NIEHS NIH HHS R01 ES031117NIEHS NIH HHS R21 ES030882NIEHS NIH HHS U01 ES019454NIEHS NIH HHS U2C ES026555NIEHS NIH HHS U2C ES026561NIEHS NIH HHS U2C ES030859
6 · The paper itself

Abstract

Quantitative biomonitoring (e.g., targeted analysis) has served as the gold standard for environmental exposure biomonitoring for several decades. Recent advancements to broaden exposomic research brought new semi-quantitative untargeted assays that capture a wide range of endogenous metabolites and exogenous exposures in a single assay for discovery, though usually at the expense of absolute quantitation. The high-resolution mass spectrometers (HRMS) typically used in untargeted workflows are sensitive and robust, but there do not yet exist comprehensive comparisons between environmental chemicals at population exposure levels measured using targeted and untargeted assays. Using liquid chromatography (LC)-HRMS, we measured per- and polyfluoroalkyl substances (PFAS) including perfluorohexane sulfonate (PFHxS), n-perfluorooctanoic acid (PFOA), n-perfluorooctanesulfonic acid (PFOS), and perfluorononanoic acid (PFNA) in plasma of 180 girls from New York City, and compared them to previously obtained targeted measures using correlation and rank order methods. We showed high agreement between the methods with Spearman Rhos ranging from 0.69 to 0.92 and weighted Kappa's from 0.62 to 0.82 for tertiles among the PFAS. This finding demonstrates that semi-quantitative data from untargeted assays designed for exposomics can be reliably used to estimate environmental exposures occurring in the general population, providing an economic alternative to targeted assays. We also describe an approach that can be used to compare relative quantitation measurements from an untargeted assay to traditional targeted measures to establish fit-for-purpose usability and validation. These results suggest that environmental exposure measures from untargeted assays can serve as reliable inputs into statistical analysis for discovery and for determining their resultant biological impacts. Future efforts to develop new statistical approaches for standardization and merging with targeted measures-toward harmonization-will further enhance the utility of untargeted assays in environmental epidemiology.

Indexed as

Alkanesulfonic AcidsEnvironmental PollutantsFluorocarbonsAdolescentBiological MonitoringEnvironmental ExposureFemaleHumansPlasmaAlkanesulfonic AcidsEnvironmental PollutantsFluorocarbonsBiomonitoringEnvironmentExposomicsPFASQuantileUntargeted

Identifiers

PMID34921852
PMCPMC8770605
OpenAlexW4200468306

What OpenQuestion holds

Textmetadata
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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.