Evidence map›Paper›PMID 37100129›Full record

ArticleThe Science of the total environment2023

Novel perfluoroalkyl substances (PFAS) discovered in whole blood using automated non-targeted analysis of dried blood spots.

Jeremy P Koelmel, Elizabeth Z Lin, Emily Parry, Paul Stelben, Emma E Rennie, Krystal J Godri Pollitt

Open access · greenAbstract read
In one paragraph

Article in The Science of the total environment, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.8field-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

13 citing papers in PubMed, 27 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

6 authors at 1 institution in 1 country.

Jeremy P KoelmelDepartment of Environmental Health Science, Yale School of Public Health, New Haven, CT, USA.
Elizabeth Z LinDepartment of Environmental Health Science, Yale School of Public Health, New Haven, CT, USA.
Emily ParryAgilent Technologies, Inc., Santa Clara, CA, USA.
Paul StelbenDepartment of Environmental Health Science, Yale School of Public Health, New Haven, CT, USA.
Emma E RennieAgilent Technologies, Inc., Santa Clara, CA, USA.
Krystal J Godri PollittDepartment of Environmental Health Science, Yale School of Public Health, New Haven, CT, USA. Electronic address: krystal.pollitt@yale.edu.
Agilent Technologies (United States) · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
The Yale Cancer Prevention and Control Training ProgramT32CA250803 · NCI · YALE UNIVERSITY · PI Melinda L Irwin, Xiaomei Ma · 2020 to 2026
$2.3M
Exposure to per- and polyfluoroalkyl substances (PFAS) and risk of cancer in childrenR01ES032196 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI METAYER, CATHERINE, VIEIRA, VERONICA M · 2021 to 2023
$1.9M
NCATS NIH HHS UL1 TR001863NCI NIH HHS T32 CA250803NIEHS NIH HHS R01 ES032196
6 · The paper itself

Abstract

A small subset of per- and polyfluoroalkyl substances (PFAS) are routinely screened in human blood. These compounds generally explain <50 % of the total PFAS in human blood. The percentage of known PFAS in human blood has been decreasing as replacement PFAS and more complex PFAS chemistries are introduced to the market. Most of these novel PFAS have not been previously identified. Non-targeted methods are required to characterize this "dark matter" PFAS. Our objective was to apply non-targeted PFAS analysis to human blood to gain an understanding about the sources, concentrations, and toxicity of these compounds. A high-resolution tandem mass spectrometry (HRMS) and software workflow for PFAS characterization in dried blood spots is reported. Dried blood spots are a less invasive collection technique compared to venous blood draws, allowing collection from vulnerable populations. Biorepositories of archived dried blood spots are available internationally from newborns and present opportunities to study prenatal exposure to PFAS. In this study, dried blood spot cards were analyzed using iterative MS/MS by liquid chromatography HRMS. Data processing was conducted using FluoroMatch Suite including a visualizer tool that presents homologous series, retention time vs m/z plots, MS/MS spectra, feature tables, annotations, and fragments for fragment screening. The researcher performing data-processing and annotation was blinded to the fact that standards were spiked in, and was able to annotate 95 % of standards spiked on dried blood spot samples, signifying a low false negative rate using FluoroMatch Suite. A total of 28 PFAS (20 standards and 4 exogenous compounds) were detected across five homologous series with Schymanski Level 2 confidence. Of these 4, 3 were perfluoroalkyl ether carboxylic acids (PFECA), a chemical class of PFAS which is increasingly being detected in environmental and biological matrices but is not currently screened in most targeted analysese. A further 86 potential PFAS were detected using fragment screening. PFAS are extremely persistent and widespread yet remain largely unregulated. Our findings will contribute to an improved an understanding of exposures. Application of these methods in environmental epidemiology studies have the potential to inform policy with regards to PFAS monitoring, regulation, and individual-level mitigation strategies.

Indexed as

FluorocarbonsTandem Mass SpectrometryCarboxylic AcidsChromatography, LiquidEthersFemaleHumansInfant, NewbornPregnancyCarboxylic AcidsEthersFluorocarbonsBloodDried blood spotsLiquid chromatography high resolution mass spectrometryNon-targeted analysisPFAS

Identifiers

PMID37100129
PMCPMC10247435
OpenAlexW4366824442

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.