Evidence map›Paper›PMID 30185940›Full record

ArticleJournal of exposure science & environmental epidemiology2019

Identification of metabolic profiles associated with human exposure to perfluoroalkyl substances.

Samira Salihovic, Tove Fall, Andrea Ganna, Corey D Broeckling, Jessica E Prenni, Tuulia Hyötyläinen, Anna Kärrman, P Monica Lind, Erik Ingelsson, Lars Lind

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of exposure science & environmental epidemiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 3 pooled it
6.1field-weighted citation impact, top 3% 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

37 citing papers in PubMed, 3 syntheses or guidelines pooled it, 81 citations in OpenAlex.

  1. Pooled it
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  14. Associations of perfluoroalkyl substances (PFAS) with lipid and lipoprotein profiles.Journal of exposure science & environmental epidemiology · 2023
    Article
  15. Article
  16. Deciphering the Mechanistic Basis for Perfluoroalkyl-Protein Interactions.Chembiochem : a European journal of chemical biology · 2023
    Article
  17. Review
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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

10 authors at 6 institutions in 2 countries.

Samira SalihovicDepartment of Medical Sciences and Science for Life Laboratory, Molecular Epidemiology Unit, Uppsala University, Uppsala, Sweden. samira.salihovic@medsci.uu.se.
Tove FallDepartment of Medical Sciences and Science for Life Laboratory, Molecular Epidemiology Unit, Uppsala University, Uppsala, Sweden.
Andrea GannaMassachusetts General Hospital, Harvard Medical School and Broad Institute, Boston, MA, USA.
Corey D BroecklingProteomics and Metabolomics Facility, Department of Biochemistry and Molecular Biology, Colorado State University, Fort Collins, CO, USA.
Jessica E PrenniProteomics and Metabolomics Facility, Department of Biochemistry and Molecular Biology, Colorado State University, Fort Collins, CO, USA.
Tuulia HyötyläinenMTM Research Centre, School of Science and Technology, Örebro University, Örebro, Sweden.
Anna KärrmanMTM Research Centre, School of Science and Technology, Örebro University, Örebro, Sweden.
P Monica LindDepartment of Medical Sciences, Occupational and Environmental Medicine, Uppsala University, Uppsala, Sweden.
Erik IngelssonDivision of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Lars LindDepartment of Medical Sciences, Cardiovascular Epidemiology, Uppsala University, Uppsala, Sweden.
Uppsala University · SEColorado State University · USÖrebro University · SEMassachusetts General Hospital · USScience for Life Laboratory · SEStanford University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent epidemiological studies suggest that human exposure to perfluoroalkyl substances (PFASs) may be associated with type 2 diabetes and other metabolic phenotypes. To gain further insights regarding PFASs exposure in humans, we here aimed to characterize the associations between different PFASs and the metabolome. In this cross-sectional study, we investigated 965 individuals from Sweden (all aged 70 years, 50% women) sampled in 2001-2004. PFASs were analyzed in plasma using isotope-dilution ultra-pressure liquid chromatography coupled to tandem mass spectrometry (UPLC-MS/MS). Non-target metabolomics profiling was performed in plasma using UPLC coupled to time-of-flight mass spectrometry (UPLC-QTOFMS) operated in positive electrospray mode. Multivariate linear regression analysis was used to investigate associations between circulating levels of PFASs and metabolites. In total, 15 metabolites, predominantly from lipid pathways, were associated with levels of PFASs following adjustment for sex, smoking, exercise habits, education, energy, and alcohol intake, after correction for multiple testing. Perfluorononanoic acid (PFNA) and perfluoroundecanoic acid (PFUnDA) were strongly associated with multiple glycerophosphocholines and fatty acids including docosapentaenoic acid (DPA) and docosahexaenoic acid (DHA). We also found that the different PFASs evaluated were associated with distinctive metabolic profiles, suggesting potentially different biochemical pathways in humans.

Indexed as

AgedAged, 80 and overAlkanesulfonic AcidsCross-Sectional StudiesDiabetes Mellitus, Type 2Environmental ExposureEnvironmental PollutantsFatty AcidsFemaleFluorocarbonsHumansMaleMetabolomeSwedenTandem Mass SpectrometryAlkanesulfonic AcidsEnvironmental PollutantsFatty AcidsFluorocarbonsperfluoroundecanoic acidEpidemiologyMetabolomicsPerfluoroalkyl substancesPFOAPFOSXCMS

Identifiers

PMID30185940
OpenAlexW2891523709

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.