Evidence map›Paper›PMID 40216802›Full record

ArticleScientific reports2025

Per and polyfluoroalkyl substances affect thyroid hormones for people with a history of exposure from drinking water.

Taylor S Noyes, Laura M Abington, T Joost van 't Erve, Ling Wang, Jennifer M McDonald, Elizabeth A Wasilevich, Jennifer S Gray, Timothy A Karrer, Kristine Smith, Jordan M Bailey

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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, 1 synthesis or guideline pooled it.

  1. A Review of Biomonitoring for Atrazine and Atrazine Metabolites Using Blood, Urine, and Sweat-Based Assays.International journal of environmental research and public health · 2026
    Pooled it
  2. Article
  3. Article
  4. PFAS Alter Thyroid Histology and Cellular SignalingJournal of the Endocrine Society · 2026
    Article
  5. Article
  6. Article
  7. 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

10 authors.

Taylor S NoyesMichigan Department of Health and Human Services, Environmental Health Bureau, 333 South Grand Ave., 3rd Floor, Lansing, MI, 48909, USA.
Laura M AbingtonMichigan Department of Health and Human Services, Environmental Health Bureau, 333 South Grand Ave., 3rd Floor, Lansing, MI, 48909, USA.
T Joost van 't ErveMichigan Department of Health and Human Services, Environmental Health Bureau, 333 South Grand Ave., 3rd Floor, Lansing, MI, 48909, USA.
Ling WangDepartment of Medicine, College of Human Medicine, Michigan State University, East Lansing, MI, USA.
Jennifer M McDonaldMichigan Department of Health and Human Services, Environmental Health Bureau, 333 South Grand Ave., 3rd Floor, Lansing, MI, 48909, USA.
Elizabeth A WasilevichMichigan Department of Health and Human Services, Environmental Health Bureau, 333 South Grand Ave., 3rd Floor, Lansing, MI, 48909, USA.
Jennifer S GrayMichigan Department of Health and Human Services, Environmental Health Bureau, 333 South Grand Ave., 3rd Floor, Lansing, MI, 48909, USA.
Timothy A KarrerDivision of Chemistry and Toxicology, Michigan Department of Health and Human Services, Bureau of Laboratories, Lansing, MI, USA.
Kristine SmithDivision of Infectious Disease, Michigan Department of Health and Human Services, Bureau of Laboratories, Lansing, MI, USA.
Jordan M BaileyMichigan Department of Health and Human Services, Environmental Health Bureau, 333 South Grand Ave., 3rd Floor, Lansing, MI, 48909, USA. Baileyj17@michigan.gov.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Per- and polyfluoroalkyl substances (PFAS) may disrupt thyroid hormones although the literature shows mixed evidence of this effect and exposure to mixtures of PFAS remains poorly understood. We used the Michigan PFAS Exposure and Health Study cohort to examine linear and nonlinear associations between serum PFAS concentrations, both alone and as a mixture, and serum thyroid hormone concentrations. Study participants included 728 adolescents and adults living in an area with past PFAS contamination of drinking water. We quantified 39 individual PFAS and four thyroid hormones in serum from participants between the years 2020 and 2021. Linear regression, weighted quantile sum (WQS) regression, supervised Principal Component Analysis (PCA), and Bayesian Kernel Machine Regression (BKMR) were used. When analyzed individually, a 1% increase in PFUnA serum concentrations was associated with a 0.023% decrease in TT3 concentration (95% CI: -0.04%, -0.01%, p < 0.05). All three mixture analyses consistently indicated an inverse relationship between PFAS mixtures and TT3 concentrations: (1) a one standard deviation increase in the WQS of the PFAS mixture was associated with a 2.0% decrease in TT3 concentration (95% CI= -4%, 0%, p < 0.05) adjusting for covariates, (2) using PCA, one standard deviation increase in a PFAS mixture was associated with a 1.2% decrease in TT3 (95% CI: -2.1%, -0.4%), and (3) BKMR similarly suggested a negative association between the PFAS mixture and TT3. We observed cross-sectional associations between a mixture of serum PFAS concentrations and thyroid hormone dysregulation, largely manifesting as decreased TT3 serum concentrations.

Indexed as

Drinking WaterFluorocarbonsThyroid GlandThyroid HormonesWater Pollutants, ChemicalAdolescentAdultChildCohort StudiesFemaleHumansMaleMichiganMiddle AgedYoung AdultDrinking WaterFluorocarbonsThyroid HormonesWater Pollutants, ChemicalEndocrine disruptionEpidemiologyMixture analysisPer- and polyfluoroalkyl substancesPFASThyroid hormone

Identifiers

PMID40216802
PMCPMC11992217

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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.