Evidence map›Paper›PMID 42431848›Full record

ArticleObesity (Silver Spring, Md.)2026

Congener-Specific Associations of Per- and Polyfluoroalkyl Substances With Obesity-Metabolic Phenotypes: A Multimodel Analysis.

Liyun Sun, Mi Zhang, Bingrui Gao, Mingyue Wang, Zhiyi Guan, Ziwei Kang, Zhongyan Shan, Weiping Teng, Jing Li

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Obesity (Silver Spring, Md.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Liyun SunDepartment of Endocrinology and Metabolism, The Institute of Endocrinology, NHC Key Laboratory of Diagnosis and Treatment of Thyroid Diseases, The First Affiliated Hospital of China Medical University, Shenyang, People's Republic of China.
Mi ZhangDepartment of Anatomy, Histology and Embryology, School of Basic Medicine, China Medical University, Shenyang, China.
Bingrui GaoDepartment of Endocrinology and Metabolism, The Institute of Endocrinology, NHC Key Laboratory of Diagnosis and Treatment of Thyroid Diseases, The First Affiliated Hospital of China Medical University, Shenyang, People's Republic of China.
Mingyue WangDepartment of Endocrinology and Metabolism, The Institute of Endocrinology, NHC Key Laboratory of Diagnosis and Treatment of Thyroid Diseases, The First Affiliated Hospital of China Medical University, Shenyang, People's Republic of China.
Zhiyi GuanDepartment of Endocrinology and Metabolism, The Institute of Endocrinology, NHC Key Laboratory of Diagnosis and Treatment of Thyroid Diseases, The First Affiliated Hospital of China Medical University, Shenyang, People's Republic of China.
Ziwei KangDepartment of Endocrinology and Metabolism, The Institute of Endocrinology, NHC Key Laboratory of Diagnosis and Treatment of Thyroid Diseases, The First Affiliated Hospital of China Medical University, Shenyang, People's Republic of China.
Zhongyan ShanDepartment of Endocrinology and Metabolism, The Institute of Endocrinology, NHC Key Laboratory of Diagnosis and Treatment of Thyroid Diseases, The First Affiliated Hospital of China Medical University, Shenyang, People's Republic of China.
Weiping TengDepartment of Endocrinology and Metabolism, The Institute of Endocrinology, NHC Key Laboratory of Diagnosis and Treatment of Thyroid Diseases, The First Affiliated Hospital of China Medical University, Shenyang, People's Republic of China.
Jing LiDepartment of Endocrinology and Metabolism, The Institute of Endocrinology, NHC Key Laboratory of Diagnosis and Treatment of Thyroid Diseases, The First Affiliated Hospital of China Medical University, Shenyang, People's Republic of China.ORCID https://orcid.org/0000-0002-3681-4095

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to investigate the associations between per- and polyfluoroalkyl substances (PFAS) and distinct obesity-metabolic phenotypes and explore underlying mechanisms.

methodsA total of 8692 adults from NHANES 2003-2018 were classified into four phenotypes as follows: metabolically healthy obesity (MHO), metabolically unhealthy obesity (MUO), metabolically healthy non-obesity (MHNO), and metabolically unhealthy non-obesity (MUNO). Multiple statistical models were used to evaluate the associations between PFAS exposure and distinct phenotypes. Network toxicology and molecular docking were employed for mechanistic exploration.

resultsLogistic regression analyses showed congener-specific associations of PFAS with MHO, MUO, and MUNO. PFUA was inversely associated with all three phenotypes (OR = 0.60, 0.55, and 0.79, respectively; p < 0.05). Weighted quantile sum (WQS), quantile g-computation (Qgcomp), and Bayesian kernel machine regression (BKMR) analyses consistently indicated the negative associations of PFAS mixture exposure with MHO (OR

conclusionsAlthough PFAS mixture exposure may not increase the risks of obesity and metabolic abnormalities, congener-specific effects on distinct phenotypes indicate the necessity of analyzing specific compositional profiles of PFAS exposure when evaluating endocrine toxicity.

Indexed as

Environmental ExposureEnvironmental PollutantsFluorocarbonsObesityAdultFemaleHumansMaleMiddle AgedNutrition SurveysObesity, Metabolically BenignPhenotypeEnvironmental PollutantsFluorocarbonscongener‐specific effectsmultimodel mixture analysisobesity‐metabolic phenotypesper‐ and polyfluoroalkyl substancesPPAR signaling pathway

Identifiers

PMID42431848
PMCPMC13422252

What Socratic holds

Textmetadata
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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 Socratic graph.