Evidence map›Paper›PMID 34419464›Full record

ArticleEnvironmental research2022

Early-life exposure to perfluoroalkyl substances in relation to serum adipokines in a longitudinal birth cohort.

Yu-Hsuan Shih, Annelise J Blomberg, Louise Helskov Jørgensen, Pál Weihe, Philippe Grandjean

Open access · hybridAbstract read
In one paragraph

Article in Environmental research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

6 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Consideration of pathways for immunotoxicity of per- and polyfluoroalkyl substances (PFAS).Environmental health : a global access science source · 2023
    Review
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

5 authors at 3 institutions in 4 countries.

Yu-Hsuan ShihDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA.
Annelise J BlombergDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA; Division of Occupational and Environmental Medicine, Lund University, Lund, Sweden.
Louise Helskov JørgensenDepartment of Clinical Biochemistry and Pharmacology, Odense University Hospital and Institute of Clinical Research, University of Southern Denmark, Odense, Denmark.
Pál WeiheDepartment of Occupational Medicine and Public Health, Faroese Hospital System, Torshavn, Faroe Islands; Center of Health Science, University of the Faroe Islands, Torshavn, Faroe Islands.
Philippe GrandjeanDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA; Department of Environmental Medicine, University of Southern Denmark, Odense, Denmark. Electronic address: pgrand@hsph.harvard.edu.
Harvard University · USUniversity of Southern Denmark · DKUniversity of the Faroe Islands · FO

Funding

Translational Research Support CoreP30ES000002 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI JAIME ELIZABETH HART · 1985 to 2026
$44.6M
Sources, Transport, Exposure & Effects of PFAS (STEEP) Center - RENEWALP42ES027706 · NIEHS · UNIVERSITY OF RHODE ISLAND · PI Elsie Mareca Sunderland · 2017 to 2026
$18.9M
Inflammation and metabolic abnormalities in pollutant-exposed childrenR01ES026596 · NIEHS · HARVARD SCHOOL OF PUBLIC HEALTH · PI GRANDJEAN, PHILIPPE ADAM · 2017 to 2018
$321k
NIEHS NIH HHS P30 ES000002NIEHS NIH HHS P42 ES027706NIEHS NIH HHS R01 ES026596
6 · The paper itself

Abstract

backgroundPer- and polyfluoroalkyl substances (PFAS) exposure has been linked to metabolic health outcomes such as obesity, and changes in adipokine hormones may be one of the underlying biological mechanisms. We prospectively evaluated the associations between prenatal and early childhood exposures to PFASs and adipokines in children. MATERIAL AND

methodsPFAS concentrations were measured in serum samples collected at birth, 18 months, and 5 and 9 years, and adiponectin, leptin, leptin receptor, and resistin were measured in serum samples collected at birth and 9 years. We used multivariable linear regression models to estimate the percent change in serum-adipokine concentrations for a doubling in serum-PFAS concentrations. The potential sex-specific effect of PFAS was assessed by including an interaction term between PFAS and sex in each model. Bayesian kernel machine regression (BKMR) was implemented to evaluate the overall effect of PFAS mixtures.

resultsSignificant associations with leptin, leptin receptor, and resistin at age 9 years were observed for serum-PFAS concentrations at 18 months and 5 and 9 years, whereas associations for PFAS concentrations at birth were mostly null. However, we observed a positive association between serum-PFHxS at birth and leptin receptor at birth. We found limited evidence regarding modification effect of sex on serum-PFAS concentrations. BKMR findings were consistent and suggested some significant effects of the overall PFAS mixtures at 18 months and 5 and 9 years on adipokine concentrations at 9 years.

conclusionsGiven the associations of PFAS exposure with both adipokine hormones and metabolic functions, future studies should include assessment of adipokine hormones when examining PFAS-associated metabolic alterations.

Indexed as

Alkanesulfonic AcidsEnvironmental PollutantsFluorocarbonsAdipokinesBayes TheoremBirth CohortChildChild, PreschoolFemaleHumansInfant, NewbornMalePregnancyAdipokinesAlkanesulfonic AcidsEnvironmental PollutantsFluorocarbonsAdipokineChildhoodMetabolic healthPerfluoroalkyl substancesProspective study

Identifiers

PMID34419464
PMCPMC10926841
OpenAlexW3196051076

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.