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A Genomic Framework for Evaluating the Impact of Per- and Polyfluoroalkyl Substances on Bone Health
E-mail: hqhecs@csu.edu.cn
Jiachen Liu1,2,3,4#, Sixuan Liu1,2#, Yinhuai Wang1, Haiqing He1*.
1Department of Urology, The Second Xiangya Hospital at Central South University, Changsha, Hunan 410011, China.
2Xiangya School of Medicine Central South University, Changsha, Hunan, China.
3Xiangya Hospital, Central South University, Changsha, Hunan, China.
4Washington University School of Medicine, St Louis, Missouri, USA.
# contributed equally to the manuscript
* Corresponding author
Correspondence address:
Haiqing He, M.D., Ph.D.
Department of Urology
The Second Xiangya Hospital
Central South University
Changsha, Hunan, China
Abstract
Background:
Per- and polyfluoroalkyl substances (PFASs), particularly PFOA and PFOS, are widespread environmental pollutants known for their biological persistence and systemic toxicity. While mounting evidence implicates PFASs in bone metabolism disturbances, their precise role in skeletal physiology and pathology remains unclear.
Objective:
To comprehensively evaluate the potential biological effects of PFOA and PFOS exposure on a wide spectrum of bone-related traits, spanning molecular, hormonal, and clinical endpoints.
Methods:
This study integrates large-scale genomic data from European-ancestry populations to investigate causal relationships between genetically predicted PFAS exposure and bone health using a bidirectional two-sample Mendelian Randomization framework. We employed a two-stage approach: first examining physiological indicators (bone mineral density, turnover markers, mineral metabolism, regulatory hormones), then assessing clinical skeletal disorders (osteoporosis, fractures, neoplasms, osteoarthritis). Genetic instruments were rigorously selected and validated to minimize confounding. Multiple complementary MR methods (inverse-variance weighted primary; sensitivity analyses including MR-Egger and weighted median) were applied alongside extensive validation for instrument validity and robustness. Furthermore, mediation analyses investigated biological pathways underlying observed associations.
Results:
Genomic evidence revealed significant associations between genetically predicted PFAS exposure and alterations in key bone physiological traits. Specifically, elevated PFOA levels were linked to increased parathyroid hormone-related protein and collagen alpha-1(XX) chain, while PFOS was associated with changes in circulating parathyroid hormone and reduced calcaneal bone density. Notably, PFOA exposure showed strong causal relationships with multiple skeletal pathologies, including benign bone tumors, osteonecrosis, and spine fractures. These findings were robust across multiple sensitivity analyses, and reverse-direction MR testing excluded reverse causality from bone traits to PFAS levels.
Conclusion:
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This study provides a panoramic genetic overview of how environmental PFAS exposure may influence bone integrity through hormonal dysregulation and matrix remodeling. These results not only deepen the mechanistic understanding of PFAS toxicity in skeletal systems but also highlight actionable targets for environmental health interventions and public policy.
Keywords:
Per- and polyfluoroalkyl substances (PFAS)
Mendelian Randomization
Skeletal disease
Bone mineral density (BMD)
Osteonecrosis.
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Introduction
Poly- and perfluoroalkyl substances (PFAS) are a class of synthetic chemicals widely used in industrial and consumer products due to their strong water- and oil-repellent properties (Cousins et al. 2020; Houde et al. 2006; Trudel et al. 2008). Among them, perfluorooctanoic acid (PFOA) and perfluorooctanesulfonic acid (PFOS) are two of the most commonly applied compounds. These substances have been detected in various environmental and biological media, including drinking water, seafood, soil, and even human tissues, largely due to their high persistence and bioaccumulative potential (Houde et al. 2006).
Accumulating evidence has linked PFAS exposure to a broad spectrum of adverse health outcomes, including endocrine disruption, immune dysfunction, neurotoxicity, reproductive toxicity, and cardiovascular diseases (Fenton et al. 2021; Morales-Grahl et al. 2024; Schlezinger and Gokce 2024; Zhang et al. 2023). In recent years, growing attention has been directed toward the potential impact of PFAS on skeletal health. Several epidemiological studies have reported associations between elevated PFAS levels and reduced bone mineral density (BMD), altered bone turnover, increased risk of osteoporosis, and a higher incidence of fractures (Carwile et al. 2022; Fan et al. 2023; Kirk et al. 2023; Xu et al. 2023). For instance, a large-scale study in southern China observed inverse associations between PFAS exposure and BMD, particularly among women and younger individuals (Fan et al. 2023). In vitro experiments further support these findings, showing that PFOS and PFOA impair osteogenic differentiation, enhance adipogenesis, and disrupt bone remodeling processes, possibly through mechanisms involving peroxisome proliferator-activated receptor (PPAR) signaling and hormonal imbalances (Evans et al. 2022; Kirk et al. 2021; Szilagyi et al. 2020).
Despite these findings, current evidence remains largely observational, making it difficult to establish causality due to potential confounding and reverse causation. Moreover, inconsistencies across studies, variations in PFAS types, population heterogeneity, and differing outcome definitions further obscure the nature of the PFAS-bone relationship. Given the increasing ubiquity of PFAS exposure and the burden of bone-related diseases, there is an urgent need for rigorous, hypothesis-driven approaches to clarify whether PFAS exposure has a causal role in skeletal disorders.
Leveraging advances in human genetics and large-scale biobank resources, genetically anchored analyses now offer an opportunity to explore environmental exposures through a more mechanistically informed lens. By tracing inherited variants linked to internal PFAS levels, these methods allow us to approximate long-term exposure effects while mitigating common biases in observational epidemiology. The growing availability of genome-wide association summary statistics further enhances the feasibility of conducting robust, high-throughput investigations across a wide range of skeletal phenotypes. As genetic variants are randomly allocated at conception and generally unaffected by environmental factors or reverse causation, Mendelian randomization (MR) can overcome key limitations of traditional observational studies (Larsson et al. 2023). Additionally, the availability of large-scale genome-wide association study (GWAS) datasets enables two-sample MR analyses across diverse exposures and outcomes, enhancing statistical power and generalizability (Larsson et al. 2023).
To address current knowledge gaps, we systematically examined the relationship between genetically proxied PFOA/PFOS burden and a comprehensive set of bone-related traits. In the first stage, we examined physiological indicators related to bone metabolism, including BMD at various anatomical sites, bone turnover markers (e.g., osteocalcin, collagen-related proteins, matrix metalloproteinases), mineral levels (e.g., calcium and phosphate), and regulatory hormones (e.g., parathyroid hormone and FGF23). These biomarkers provide insight into subclinical changes that may precede overt skeletal disease. In the second stage, we explored a range of clinically relevant pathological outcomes, such as osteoporosis, pathological fractures, osteonecrosis, osteomyelitis, and bone neoplasms. This study offers the first genome-informed, system-wide evaluation of PFAS-associated bone alterations across both molecular and disease-level phenotypes. By integrating genetic data with clinical phenotypes, this study aims to provide robust evidence on the causal effects of PFASs on bone health, contributing to the understanding of their potential role in skeletal disease etiology and informing prevention and intervention strategies.
2. Methods
2.1 Study design
This study employed a bidirectional two-sample MR framework to investigate the potential causal effects of PFOA and PFOS exposure on a wide range of bone-related physiological and pathological traits. By leveraging genetic variants as instrumental variables (IVs), MR enables estimation of lifelong exposure effects while minimizing confounding and reverse causality. We followed a two-stage approach: (1) examining physiological bone indicators including bone mineral density (BMD), bone turnover markers, mineral metabolism, and regulatory hormones; (2) assessing clinical bone pathologies such as osteoporosis, fractures, osteoarthritis, osteonecrosis, and bone neoplasms. Bidirectional MR analyses were performed to explore the potential for reverse causation.
2.2 Data sources
Genetic instruments for plasma PFOA and PFOS levels were derived from a large-scale metabolomics GWAS conducted in 8,299 European individuals from the Canadian Longitudinal Study on Aging (CLSA) (Chen et al. 2023). This study identified SNPs associated with circulating PFAS levels via high-throughput metabolomics and genome-wide genotyping.
Bone-related outcome data were obtained from publicly available GWAS summary statistics, primarily from the UK Biobank and FinnGen consortium. Traits were categorized as follows:
(1) Bone physiology: BMD at heel sites (e.g., T-score, absolute density), bone turnover proteins (e.g., osteocalcin, collagen subtypes, procollagen modifiers), mineral levels (calcium, phosphate), and hormones (e.g., parathyroid hormone [PTH], PTH-related protein, FGF23);
(2) Bone pathologies: self-reported and ICD-coded osteoporosis, osteopenia, osteoarthritis, drug-induced osteoporosis, pathological fractures (e.g., spine, hip, wrist), osteonecrosis, osteomyelitis, and benign or malignant bone tumors.
All datasets were based on individuals of European ancestry and aligned to the GRCh37/hg19 genome build. Detailed trait information, sample sizes, and accession codes are provided in Supplementary Table.
2.3 Genetic instrument selection
SNPs significantly associated with PFOA or PFOS levels were selected using a liberal significance threshold (P < 1×10⁻⁵) to accommodate the modest sample size of the exposure GWAS. To ensure independence among IVs, we performed linkage disequilibrium (LD) clumping with a 10,000 kb window and r² < 0.001 (Auton et al. 2015; Purcell et al. 2007), excluding variants within the MHC region (chr6: 26–34 Mb) due to its complex LD structure. SNPs with minor allele frequency (MAF) ≤ 0.01 or ambiguous palindromic alleles were removed. The strength of each instrument was assessed using the F-statistic, calculated as:
,
where R2 = 2×EAF×(1 - EAF)×β2, EAF is the effect allele frequency, and β is the estimated SNP effect on PFAS levels. Only instruments with F-statistics > 10 were retained to minimize weak instrument bias.
2.4 Mendelian randomization analysis
MR analyses (Skrivankova et al. 2021) were conducted using several complementary methods: inverse-variance weighting (IVW) (Burgess et al. 2016) as the primary estimator, supplemented by MR-Egger regression (Bowden et al. 2015,2016), weighted median estimator, MR-RAPS, and maximum likelihood estimation to account for potential violations of MR assumptions (Burgess et al. 2015; Zhao et al. 2019). Bidirectional MR was used to examine reverse causality.
To ensure instrument validity, we applied the following filters: (1) PhenoScanner v2 was used to identify SNPs associated with confounders (e.g., smoking, socioeconomic status, vitamin D, height) (Bowden et al. 2018; Kamat et al. 2019); (2) radial MR was employed to detect and exclude outlier SNPs; (3) Steiger filtering was applied to confirm causal direction. Sensitivity analyses included the MR-Egger intercept test (for directional pleiotropy), Cochran’s Q statistic (Hemani et al. 2018) (for heterogeneity), MR-PRESSO (Verbanck et al. 2018) global test (for horizontal pleiotropy), and leave-one-out analysis to assess the influence of individual SNPs. All analyses were performed using R (v4.2.0) and the TwoSampleMR, MR-PRESSO, RadialMR, and MR-RAPS packages. Results were reported as odds ratios (ORs) with 95% confidence intervals (CIs), and statistical significance was defined as P < 0.05.
3. Results
3.1 Overview of Analytical Framework and Genetic Instruments
We established a comprehensive genomic framework to evaluate the potential impact of PFOA and PFOS on skeletal traits. Based on genomic data from 8299 individuals, a total of 38 and 48 independent genetic variants robustly associated with circulating PFOA and PFOS levels, respectively, were identified and used as proxies for long-term internal exposure. These instruments enabled a structured assessment of 87 bone-related phenotypes, including both physiological and pathological endpoints. (Fig. 1)
Fig. 1
: Graphical abstract
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3.2 Associations with Physiological Bone Indicators
There is a significant association between PFOA and a variety of bone physiological indicators. Figure 2A illustrates significant positive associations of PFOA with parathyroid hormone-related protein and collagen alpha-1(XX) chain. Genetically proxied PFOA exposure was associated with elevated levels of parathyroid hormone- related protein (OR = 1.19, 95% CI 1.04–1.37, P = 0.011) and collagen alpha-1(XX) chain (OR = 1.17, 95% CI 1.02–1.34, P = 0.026), which suggest enhanced bone turnover and matrix remodeling. For the association between PFOA and collagen alpha-1(XX) chain, the IVW method indicated a significant effect. (Fig. 3) Sensitivity analyses assessing horizontal pleiotropy, including MR-Egger regression, yielded results largely consistent with the IVW estimate and other robust methods. For the association between PFOA and parathyroid hormone-related protein, sensitivity analyses revealed evidence of horizontal pleiotropy. The MR-Egger estimate differed substantially from the IVW estimate and all other methods evaluated, suggesting potential bias in the causal estimate for this association. (Fig. 3)
Fig. 2
: Circumferential heatmap of causal relationships between PFASs and 38 bone physiological indicators.
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Fig. 3
: Significant Mendelian randomization (MR) results for causal relationships between PFOA and two bone physiological indicators.
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Similarly, PFOS exposure showed significant associations with bone pathological indicators. PFOS exhibits significant positive associations with parathyroid hormone and heel bone mineral density, including T-scores for the left and right foot and absolute BMD on the left. (Fig. 2B) Significant associations were observed with circulating parathyroid hormone (OR = 1.13, 95% CI: 1.02–1.25, P = 0.021) and heel bone mineral density, including T-scores for the left and right foot (left: OR = 1.27, P = 0.005; right: OR = 1.26, P = 0.005) and absolute BMD on the left (OR = 1.17, P = 0.038), which indicate a potential early influence of PFOS on both hormonal regulation and skeletal mineralization. (Fig. 4) For the association between PFOS and parathyroid hormone, sensitivity analyses revealed no evidence of horizontal pleiotropy, with MR-Egger estimates showing no significant difference from the IVW estimate and minimal differences from most other methods. Similarly, for PFOS and both left and right heel BMD T-score (automated), sensitivity analyses using MR-Egger showed estimates consistent with the IVW method and all other approaches for both measurements, with only marginally more pronounced (but non-significant) differences observed for the right side. (Fig. 4)
Fig. 4
: Significant Mendelian randomization (MR) results for causal relationships between PFOS and four bone physiological indicators. (a) Forest plot for the significant associations between PFOA and two bone physiological indicators, analyzed using multiple MR methods., (b-c) Tripartite plots for MR results:, (b) parathyroid hormone-related protein,, (c) collagen alpha-1(XX) chain. Each tripartite plot includes:, (i) a scatter plot of MR results,, (ii) a funnel plot for assessing potential bias, and, (iii) a single SNP forest plot showing the causal effect of each individual SNP on the bone physiological indicator.
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3.3 Associations with Pathological Bone Outcomes
There is a significant association between PFAS and a variety of bone pathological indicators. Figure 5A and B illustrates significant positive associations of PFOA and benign skull/face bone neoplasms, drug-induced osteonecrosis, self-reported osteoarthritis, self-reported osteoporosis, and spinal fractures. In contrast, PFOS exhibited no statistically significant correlations with these pathological endpoints.
Fig. 5
: Circumferential heatmap of causal relationships between PFASs and 48 bone pathological indicators. (a) Forest plot for the significant associations between PFOS and four bone physiological indicators, analyzed using multiple MR methods., (b-e) Tripartite plots for MR results:, (b) Parathyroid hormone,, (c) Heel bone mineral density, (BMD) T-score automated, (left),, (d) Heel bone mineral density, (BMD) T-score automated, (right),, (e) Heel bone mineral density, (BMD), (left). Each tripartite plot includes:, (i) a scatter plot of MR results,, (ii) a funnel plot for assessing potential bias, and, (iii) a single SNP forest plot showing the causal effect of each individual SNP on the bone physiological indicator.
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PFOA exposure exhibited robust associations with multiple pathological bone traits. Specifically, higher genetically predicted PFOA levels were linked to benign neoplasms of the skull and face bones (OR = 1.68, P = 0.041), drug-induced osteonecrosis (OR = 1.85, P = 0.030), and self-reported osteoarthritis (OR = 1.83, P = 0.002). In addition, significant associations were identified with osteoporosis (OR = 1.45, P = 0.004) and spine fractures (OR = 1.82, P = 0.002). These results highlight a broad spectrum of skeletal vulnerability associated with internal PFOA burden. In contrast, no significant pathological associations were detected for PFOS within the current analytic scope. (Fig. 6A)
Fig. 6
: Significant Mendelian randomization (MR) results for causal relationships between PFOA and four five physiological indicators. (a) The heatmap summarizes the results of five MR methods between PFOA and 48 bone pathological indicators. The 48 bone pathological indicators included measures such as benign skull/face bone neoplasms, drug-induced osteonecrosis, self-reported osteoarthritis, self-reported osteoporosis, and spinal fractures., (b) The heatmap summarizes the results of five MR methods between PFOS and 48 bone pathological indicators.
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For the causal associations between PFOA and bone-related outcomes, sensitivity analyses assessing horizontal pleiotropy through MR-Egger regression demonstrated estimates consistent with (i.e., showing no significant difference from) the primary IVW results and other robust methods across these outcomes. Similarly, for PFOA and spinal fractures, sensitivity analyses confirmed the robustness of this association, with minimal evidence of methodological heterogeneity and no significant difference observed between MR-Egger and IVW estimates. (Fig. 6B-F)
Mediation MR analysis reinforced pathological bone links for PFOA exposure, visualized in Fig. 7. PFOA exposure was traced to “Non-cancer illness code self-reported: osteoarthritis” and “Fractured bone site(s): Spine” alongside molecular intermediates (e.g., sphingomyelin levels, glycerophospholipid metabolism shifts). These multi-level connections imply PFOA may act through metabolic/biochemical pathways to drive skeletal pathology. For example, lipid remodeling could disrupt bone microenvironment homeostasis, fostering neoplasia or degeneration. Meanwhile, pathways for PFOS identified in the analysis clustered more toward metabolic traits (e.g., diabetes, lipid subfraction ratios) than direct pathological bone endpoints, aligning with its lack of significant skeletal-pathological associations in MR.
Fig. 7
: Sankey Representation of PFAS associations with Bone physiological / pathological indicators. (a) Forest plot for the significant associations between PFOA and five bone pathological indicators, analyzed using multiple MR methods., (b-f) Tripartite plots for MR results:, (b) Benign neoplasm: Bones of skull and face,, (c) Osteonecrosis due to drugs,, (d) Non-cancer illness code self-reported: osteoporosis,, (e) Non-cancer illness code self-reported: osteoarthritis,, (f) Fractured bone site(s): Spine. Each tripartite plot includes:, (i) a scatter plot of MR results,, (ii) a funnel plot for assessing potential bias, and, (iii) a single SNP forest plot showing the causal effect of each individual SNP on the bone pathological indicator.
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3.4 Sensitivity analyses
A range of sensitivity analyses confirmed the reliability of the core findings. Causal estimates were consistent across alternative analytical methods, and no substantial pleiotropy was detected based on MR-Egger intercepts and MR-PRESSO global tests. Modest heterogeneity was observed in specific trait associations, including PFOA with procollagen C-endopeptidase enhancer 2 and PFOS with heel BMD, as detailed in Supplementary Table. Notably, pleiotropy analysis revealed minor effects in selected comparisons, such as PFOA with osteocalcin (P = 0.014) and PFOS with procollagen galactosyltransferase 1 (P = 0.044). (Supplementary Table) Leave-one-out analyses showed no undue influence from individual variants, and reverse-direction testing did not support feedback effects from bone traits to PFAS levels.
3.Discussion
PFASs, particularly PFOA and PFOS, are persistent environmental pollutants with well-established endocrine-disrupting and immunotoxic effects (Cao and Ng 2021). However, their potential impact on skeletal health remains underexplored and controversial. In this study, we used a two-sample Mendelian randomization approach to investigate the causal associations between genetically predicted PFOA/PFOS exposure and both physiological and pathological bone-related traits.
We found that PFOA exposure was causally associated with increased levels of parathyroid hormone-related protein and collagen alpha-1(XX) chain, while PFOS was associated with circulating parathyroid hormone and multiple heel BMD measurements. These findings suggest that PFASs may influence bone metabolism through hormonal regulation and extracellular matrix remodeling. While some studies have reported associations between PFAS and parathyroid hormone concentration (PTH), others have found no such relationship (Averina et al. 2024). However, no significant association between PFOA and collagen alpha-1(XX) chain has been established to date.
On the pathological level, PFOA exposure was found to be significantly associated with a spectrum of skeletal disorders, including benign neoplasms of the skull and face, osteonecrosis due to drugs, osteoarthritis, osteoporosis, and spinal fractures. While most previous studies have focused on PFAS-related carcinogenic risk in organs such as the breast, thyroid, liver, and kidney, limited attention has been given to their potential role in benign skeletal conditions. Our findings expand this field by identifying possible causal links between PFOA and non-malignant bone pathology. Moreover, the observed associations between PFOA and osteoarthritis or osteoporosis are consistent with prior observational studies, which reported higher PFAS exposure levels among individuals with reduced bone mineral density or musculoskeletal disorders. By using a genetic epidemiological approach, our study provides complementary evidence supporting these associations, while minimizing confounding and reverse causation.
Mechanistically, several pathways may underlie the observed associations between PFAS exposure and compromised bone health. One of the most well-characterized mechanisms involves activation of peroxisome proliferator-activated receptors (PPARs), particularly PPARγ. PFAS compounds are known to function as potent PPARγ agonists, which can skew mesenchymal stem cell differentiation toward adipogenesis at the expense of osteogenesis. This imbalance contributes to impaired bone formation and increased marrow fat accumulation, ultimately reducing bone mass and strength (Kirk et al. 2021). Almeida et al. further revealed that PFAS can directly bind to the ligand- and DNA-binding domains of PPARγ/RXRα complexes, altering gene transcription in a manner that mimics endogenous ligands, leading to sustained suppression of osteogenic programs (Almeida et al. 2023). Another potential mechanism involves disruption of the vitamin D endocrine axis. Vitamin D is a critical regulator of calcium homeostasis and osteoblast differentiation. Epidemiological studies have shown that PFAS exposure is associated with decreased circulating levels of vitamin D (Zhao et al. 2024). Computational docking analyses and experimental studies have demonstrated that PFAS molecules may antagonize vitamin D receptor (VDR) function, impairing the expression of downstream osteogenic genes and weakening bone mineralization (Azhagiya Singam et al. 2023). Di Nisio et al. provided mechanistic evidence that PFOA interferes with vitamin D-induced transcriptional activity in bone cells, thereby promoting osteotoxicity through endocrine disruption (Di Nisio et al. 2020).
This study has several notable strengths. By applying a bidirectional two-sample Mendelian randomization design, we reduced the influence of residual confounding and reverse causation, which often limit the interpretation of observational studies. We incorporated a broad range of bone-related phenotypes, from molecular and hormonal markers to clinically diagnosed outcomes, providing a comprehensive assessment of the skeletal effects of PFAS exposure. The use of multiple MR methods and extensive sensitivity analyses, including MR-Egger, MR-PRESSO, and leave-one-out procedures, further validated the robustness of our findings. Nevertheless, several limitations should be considered. Due to the limited sample size of existing GWAS on PFAS exposure, we adopted a relaxed significance threshold (P < 1×10⁻⁵) to identify suitable instruments, which may introduce weak instrument bias. However, all SNPs showed sufficient strength (F > 10), and the consistency across MR methods supports the reliability of our estimates. In addition, MR cannot directly reveal biological mechanisms, and our analysis was restricted to European populations, potentially limiting generalizability. Finally, as MR reflects lifelong genetic predisposition, it cannot distinguish between acute and chronic exposure or capture dose-response effects.
In summary, our study provides the first genetic evidence supporting potential causal links between PFOA/PFOS exposure and bone-related outcomes. These findings highlight the need for mechanistic studies and public health interventions targeting PFAS-induced skeletal toxicity.
Declare
Ethics approval
All procedures followed institutional/national ethics committee standards and the 1964 Helsinki Declaration. This article does not contain any studies with human participants or animals performed by any of the authors.
Consent for publication
All authors have read and approved the final version of the manuscript and consent to its publication in Environmental Sciences Europe.
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Data Availability
All data and materials relevant to this study are publicly available. The datasets generated during and/or analyzed during the current study are available from the corresponding author upon reasonable request.
Conflict of Interest
Jiachen Liu, Sixuan Liu, Yinhuai Wang and Haiqing He declare that they have no conflict of interest.
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Funding
This work was supported by the Special Fund for the Construction of Innovative Provinces in Hunan Province (Provincial Key R&D Plan) under Grant No. 2023SK2026.
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Author Contribution
J.L. and S.L. contributed equally to this work and share first authorship. H.H. conceptualized and supervised the study. J.L., S.L., and Y.W. designed the methodology, curated data, performed genetic and statistical analyses, and visualized findings. J.L. and S.L. drafted the original manuscript. Y.W. reviewed and edited the manuscript. H.H. acquired funding, provided resources, and critically revised the manuscript for intellectual content. All authors read and approved the final version.
Statement of Human and Animal Rights
The manuscript does not contain clinical studies or patient data. This statement should appear in a separate section before the reference list.
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Acknowledgement
The authors sincerely thank all the consortia and researchers for making the GWAS summary data publicly available.
Electronic Supplementary Material
Below is the link to the electronic supplementary material
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Flowchart of the Mendelian Randomization (MR) study on PFAS (PFOA/PFOS) and bone health. Data were sourced from UK Biobank, FinnGen GWAS and a large - scale European metabolomics GWAS. MR methods (inverse - variance weighted as primary, plus MR - Egger, weighted median, etc.) and sensitivity analyses (checking heterogeneity, pleiotropy) were applied. Results showed that for physiological indicators, PFOA linked to higher parathyroid hormone - related protein and collagen alpha − 1(XX) chain; PFOS associated with altered parathyroid hormone and lower calcaneal BMD. For pathological indicators, PFOA causally related to benign skull bone neoplasms, drug - induced osteonecrosis, self - reported osteoarthritis, osteoporosis, and spinal fractures. Findings were robust across sensitivity tests, and reverse MR excluded reverse causality from bone traits to PFAS levels, indicating PFAS impact bone integrity via hormonal dysregulation and matrix remodeling.
(a) The heatmap summarizes the results of five MR methods between PFOA and 38
bone physiological indicators. The 38 bone physiological indicators included measures such as parathyroid hormone-related protein and collagen alpha-1(XX) chain. (b) The heatmap summarizes the results of five MR methods between PFOS and 38 bone physiological indicators.
This alluvial diagram visualizes the associations between two exposures (PFOA and PFOS) and multiple outcomes. PFOA (pink left node) and PFOS (blue left node) connect, via a diverse set of intermediate factors (e.g., biochemical markers like lipid ratios, hormone levels, disease diagnoses, mineral density measures), to outcomes such as bone - related conditions (fractured bone sites, bone mineral density scores), non - cancer illness self - reports (osteoarthritis, osteoporosis) and other health - associated endpoints. All shown links represent significant associations with p < 0.05, highlighting the complex pathways through which PFOA and PFOS may relate to these outcomes.
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Total words in MS: 3776
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Total Keyword count: 5
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Total Reference count: 33