Estimated exposure to perfluoroalkyl substances during infancy and serum-adipokine concentrations in later childhood

Estimated exposure to perfluoroalkyl substances during infancy and serum-adipokine concentrations in later childhood

Play all audios:

Loading...

ABSTRACT BACKGROUND Perfluoroalkyl substances (PFASs) are transferred through human milk and may cause elevated exposure during infancy. Given the lack of early postnatal blood samples, PFAS


concentrations can be estimated to serve as predictors of subsequent metabolic toxicity. METHODS A total of 298 children from a prospective birth cohort were followed up through to age 9


years. Serum-PFAS was measured at birth and 18 months of age, while exposures during infancy were estimated by structural equations. Adiponectin, resistin, leptin, and the leptin receptor


were measured in serum at age 9. Adjusted regression coefficients for estimated serum-PFAS concentrations were calculated, with additional consideration of the duration of breastfeeding and


potential effect modification by sex. RESULTS A doubling in estimated serum-PFAS concentrations, particularly at ages 6 and 12 months, was associated with a loss of about 10–15% in age 9


resistin concentrations, while other associations were much weaker. Sex dependence of the associations was not observed, and neither did the duration of breastfeeding affect outcomes at age


9. CONCLUSION Lowered serum-resistin concentrations at age 9 years were most strongly associated with early postnatal PFAS exposures. These findings suggest that infancy may represent a


vulnerable time window for some aspects of metabolic programming that may be affected by PFAS exposure. IMPACT * Serum-PFAS concentrations during infancy can be estimated in the absence of


blood samples. * Adipokine concentrations were measured at age 9 years as metabolic biomarkers. * Resistin was significantly lower in children with elevated PFAS exposures in infancy. * The


findings suggest that early postnatal PFAS exposures may affect subsequent metabolic health. * Assessment of infancy vulnerability to PFAS can be explored using estimated serum-PFAS


concentrations. SIMILAR CONTENT BEING VIEWED BY OTHERS PRENATAL EXPOSURE TO PER- AND POLYFLUOROALKYL SUBSTANCES AND EARLY CHILDHOOD ADIPOSITY AND CARDIOMETABOLIC HEALTH IN THE HEALTHY START


STUDY Article 02 December 2023 GESTATIONAL PERFLUOROALKYL SUBSTANCE EXPOSURE AND BODY MASS INDEX TRAJECTORIES OVER THE FIRST 12 YEARS OF LIFE Article 18 November 2020 EXPOSURE TO


PERFLUOROALKYL AND POLYFLUOROALKYL SUBSTANCES AND PEDIATRIC OBESITY: A SYSTEMATIC REVIEW AND META-ANALYSIS Article Open access 31 October 2023 INTRODUCTION Prenatal exposure to a variety of


adverse factors, such as maternal smoking, alcohol consumption, maternal dietary deficiency or nutrient oversupply, may affect the later health of the offspring,1 and this “fetal


programming” may also be affected by toxicity due to environmental chemicals.2 Less emphasis has been placed on early postnatal exposures, although the existence of infancy vulnerability is


beyond doubt.3 Thus, understanding of the temporal profile of toxicant exposures with regard to vulnerable developmental stages is crucial for public health purposes.4 Early postnatal


exposure can be of particular relevance for substances that are excreted into human milk, such as perfluoroalkyl substances (PFASs).5,6 Serum-PFAS concentrations in infants breastfed for 6


or more months may increase by as much as 10-fold at the end of infancy as compared to those not breastfed.5 Among adverse health outcomes, immune functions appear to be particularly


sensitive to early postnatal exposures.7 In addition, obesity seems to be initiated in childhood,8,9,10 although the age-dependent vulnerability to obesogenic or other metabolic effects is


unclear. Research in this field is hampered by the frequent lack of blood samples at early ages that could be analyzed for exposure biomarkers. Also, common clinical variables, such as


growth trajectories, may not be sufficiently sensitive to reveal early disruptions. Thus, certain metabolic biomarkers in serum, such as adipokines, may be useful as indicators of metabolic


homeostasis, inflammation, and the possible risk of developing early signs of metabolic syndrome.11,12 These hormonal factors include leptin and its receptor, adiponectin, and resistin,


which are associated with childhood growth and with the odds of being or becoming overweight and developing chronic disease.12,13,14 Serum-adipokine concentrations may be affected by other


factors, e.g., preterm birth that appears to be associated with lower adiponectin and higher leptin and resistin in later childhood.14,15 In addition, the duration of breastfeeding may be of


potential importance, as the presence of adipokines has been detected in human milk.16,17 Recent studies have begun to explore the possible impact of developmental PFAS exposure and serum


concentrations of adipokines measured in later childhood,18 with most attention being paid to prenatal PFAS exposure and its associations with leptin and adiponectin.14,18,19,20,21,22 We


previously observed longitudinal associations between PFAS exposures measured in maternal pregnancy serum or in child serum from age 5 years and serum-adipokine concentrations in


childhood.23 In agreement with other recent evidence,14 we found that adipokine concentrations in cord blood were not associated with prenatal PFAS exposures. On the other hand,


serum-adipokine concentrations measured at age 9 years were primarily associated with PFAS concentrations in cord blood and serum from age 18 months and only to a lesser degree with


serum-PFAS at 5 and 9 years.24 These findings suggest that adipokine concentrations in later childhood may be affected by early-life exposures. As PFAS exposures after birth can increase


substantially due to breastfeeding,5,25 the aim of the present study was to ascertain the possible association of childhood adipokine concentrations with serum-PFAS concentrations in


infancy. Because blood samples were not available from early postnatal age, the PFAS concentrations were modeled by a structural equations approach that has been previously validated.7


METHODS STUDY POPULATION The study population is a subset of a birth cohort of 490 mother–child pairs recruited between October 2007 and April 2009 from the National Hospital in Tórshavn,


Faroe Islands (Cohort 5). Only singleton, full-term births with complete information were included in the present study. Blood from the cord was collected at parturition, and additional


blood samples from the child were obtained at follow-up clinical examinations at ages 18 months, and 5 and 9 years, where questionnaires and physical examinations were also administered.7,26


The study protocol was approved by the Faroese ethical review committee and the Harvard T.H. Chan School of Public Health institutional review board. Written informed consent was obtained


from all participating mothers. PFAS ANALYSIS OF SERUM SAMPLES Exposures to five major PFASs (i.e., perfluorooctane sulfonic acid (PFOS), perfluorooctanoic acid (PFOA), perfluorohexane


sulfonic acid (PFHxS), perfluorononanoic acid (PFNA) and perfluorodecanoic acid (PFDA)) were assessed from all serum samples using online solid-phase extraction followed by high-pressure


liquid chromatography with tandem mass spectrometry,27 with extraction conducted using a Thermo Scientific EQuan MAX system (Thermo Scientific, San Jose, CA). High precision was suggested by


within-batch and between-batch coefficients of variation at <3% and 5–6%, respectively. For participants with values below the limit of detection (0.03 ng/mL for all PFASs), a value of


0.015 ng/mL was assigned.24 The quality was confirmed by regular participation with excellent results in the German-External Quality Assessment Scheme organized by the German Society of


Occupational Medicine. ADIPOKINE HORMONES As previously described,24 adipokine hormones were measured in serum using commercial ELISA kits according to the instructions from the


manufacturer. The following kits from Biovendor (Brno, Czech Republic) were used: leptin (VEN/RD191001100), soluble leptin receptor (OB-R, VEN/RD194002100), total adiponectin


(VEN/RD191023100), and resistin (VEN/RD191016100). For adiponectin, all samples were diluted 1:1200 to obtain measurable levels. We evaluated the performance of the kits using a pooled donor


serum obtained from the Department of Clinical Immunology at Odense University Hospital. High-performance accuracy was suggested by the low coefficients of variation of 2.9% for leptin,


2.1% for leptin receptor, 5.3% for adiponectin, and 7.4% for resistin. The results allowed calculation of the free leptin index as the ratio between leptin and leptin receptor


concentrations28 as well as the adiponectin/leptin ratio.13,29 COVARIABLES Standard questionnaires were used in the obstetric ward to collect maternal age (years), maternal smoking during


pregnancy (none, 1–5 cigarettes per day, >5 cigarettes per day), maternal education (low, medium, high), and child sex. Additional obstetric information was abstracted from hospital


charts, including gestational age (weeks), parity (primiparous, multiparous) and pre-pregnancy weight, height, and body mass index (BMI, kg/m2). Duration of breastfeeding (months; i.e.,


exclusive, mixed, and none) was obtained from the 18-month maternal questionnaires. Potential confounders were selected using directed acyclic graphs based on prior literature on early


postnatal PFAS concentrations and childhood metabolic parameters.8,23,30 Maternal age, maternal pre-pregnancy BMI, maternal smoking during pregnancy, parity, maternal education, and child


sex were considered mandatory for adjustment of all analyses. STATISTICAL ANALYSES PFAS concentrations were log-transformed, and adipokine concentrations were similarly transformed due to


skewed distributions. We modeled early postnatal serum-PFAS concentrations at 3, 6, and 12 months based on breastfeeding information as well as the measured PFAS concentrations in cord serum


and in the child’s serum at age 18 months.7 This was achieved by using structural equation models in an approach as previously described.7 In short, the model assumes that the


log-transformed PFAS concentration changes by a slope of α during the period of exclusive breastfeeding and likewise, during partial breastfeeding, the slope is _β_, and after weaning, the


slope is _γ_: $$\log {{{{{{\rm{PFAS}}}}}}}_{i,a}=\mu +\alpha \,{{{{{{\rm{exclusive}}}}}}}_{i,a}+\beta \,{{{{{{\rm{partial}}}}}}}_{i,a}+\gamma


\,{{{{{{\rm{nomilk}}}}}}}_{i,a}+{U}_{i}+{\varepsilon }_{i,a},,$$ where log PFAS_i,a_ is the log-transformed serum concentration of child _i_ at age _a_, while exclusive_i,a_, partial_i,a_,


and nomilk_i,a_ indicate the number of months that the child was exclusively breastfed, partially breastfed, and not breastfed at all by age _a_. The variable U_i_ accounts for within-child


correlation, i.e., the fact that a child above the mean at one timepoint will also tend to be higher at other time points. The last term (_ε__i,a_) is a random measurement error. According


to the model, the true PFAS concentration of child _i_ at age _a_ is given by the latent variable _E__i,a_ =_µ_ + _α_ exclusive_i,a_ + _β_ partial_i,a_ + _γ_ nomilk_i,a_ + _U__i_.. In the


second part of the model, this variable was then considered a predictor of the serum-adipokine concentration at age 9 years by linear regression adjusted for covariates. The regression


coefficients were expressed as the change for each doubling of the serum-PFAS concentrations at ages 3, 6, and 12 months. Interactions by child sex were assessed by including an interaction


term between PFAS and sex in the model. We tested for this interaction (_p_sex) based on the corresponding value of the likelihood ratio test statistic. Although the duration of exclusive


and mixed breastfeeding was not associated with adipokine hormone concentrations at age 9 years (_p_ > 0.1), we included a sensitivity analysis taking into account the duration of


breastfeeding. All regression analyses were conducted using R software, and the structural equation models were fitted using R software’s Lava package.31 RESULTS The present study included


298 mother–child pairs with complete data on serum-PFAS concentrations at birth and 18 months, adipokine hormones at 9 years, and important covariables; little difference was apparent when


compared to the full cohort (Table 1). Most mothers were non-smokers (83%), and approximately equal numbers of boys (52%) and girls (48%) were enrolled. The characteristics differed only


slightly from those of the total Cohort 5. The distributions of the serum-PFAS concentrations at birth and 18 months are shown in Table 2. All five PFAS concentrations at 18 months were


substantially higher than those at birth, as previously reported,24 although 33 infants showed PFHxS at 18 months below the level of detection (and were assumed to be 0.015 ng/mL). The


estimated serum-PFAS concentrations during infancy show that a substantial increase occurred during the first postnatal year (Table 2). Associations of the estimated serum-PFAS


concentrations at 3, 6, and 12 months with serum-adipokine concentrations at 9 years are shown in Table 3. Figure 1 compares these results with the previously obtained regression


coefficients for the serum-PFAS concentrations measured at birth and at 18 months.24 For leptin, no significant associations with PFAS exposures were seen (Table 3), as was also the case


with the leptin receptor and the free leptin index (Supplementary Table 1). For adiponectin, positive associations were observed for all PFASs, with a statistically significant increase for


infancy-age PFHxS (Table 3). Thus, a doubling of PFHxS at age 6 months was associated with an increase of 5.0% in adiponectin at 9 years. Furthermore, the free leptin index (Supplementary


Table 2) showed only marginal associations with the estimated PFAS exposures. Likewise, the adiponectin/leptin ratio15 was not associated with the exposure parameters. By far, the strongest


associations were observed for resistin, where all PFASs showed significant associations during infancy (Table 3), while no clear association was observed with the measured PFOS and PFOA


concentrations at age 18 months (Fig. 1). A doubling in late infancy PFAS exposure was associated with resistin decreases of about 10% or more at age 9 years. Overall, these tendencies


appeared substantially stronger for estimated PFAS exposures during the first year of life than those previously reported for serum-PFAS measured at birth or at later childhood ages.14, 24


Thus, although the confidence intervals were wider for the estimated PFAS values (Fig. 1), clear associations were observed for resistin in regard to infancy exposures, while only PFHxS,


PFNA and PFDA showed a significant association at 18 months of age, and none at birth or at ages 5 and 9 years. Regarding interaction with sex, no statistical significance was found at


infancy ages (Table 3 and Supplementary Fig. 1). In sensitivity analyses that additionally included breastfeeding in the model, only marginal changes were observed (_p_ > 0.1). DISCUSSION


The present study relied on estimated serum-PFAS concentrations in infancy using a structural equation model using procedures previously described and validated.7 As a likely result of


continued breastfeeding, PFAS concentrations increased during infancy. Likewise, the serum-PFAS at age 18 months showed higher concentrations than those observed prenatally or at later


childhood ages 5 and 9 years,24 as shown in Table 2. The elevated exposures during early life were associated with changes in serum-adipokine concentrations at age 9 years, most strongly


with reductions in resistin. No clear sex-specific association was observed between early-life exposures to PFAS in relation to the subsequent adipokine outcomes (Table 3 and Supplementary


Fig. 1). Our previous study of a subset from the older Faroese Cohort 3—at much higher exposures to PFOS and PFHxS—suggested inverse associations, some being sex-dependent, between PFAS


exposures and adiponectin, leptin, and resistin,23 but only the latter association was replicated at the lower serum-PFAS concentrations in the new cohort. Due to the central role of the


adipokines, the associations identified are of substantial interest regarding PFAS-associated programming of metabolic disease.32 Thus, adiponectin is reduced and leptin is upregulated in


the presence of obesity,11,33 and resistin tends to be elevated in metabolic disease.34 Thus, an imbalance in the expression of the pro- and anti-inflammatory adipokines seems to affect


metabolic homeostasis.12 Still, considering the possible interactions between adipokines, the PFAS-associated changes in serum concentrations at age 9 are so far difficult to interpret in


detail, given the few relevant studies from infancy and childhood. However, the additional observation of decreased leptin in cord blood at elevated PFAS exposures,22,30 supports the


hypothesis of early-life PFAS exposures influencing these metabolic markers in later childhood. Furthermore, studies in adults indicate that adiponectin concentrations may be affected by


PFAS exposures.35,36,37 Thus, the strong associations between estimated infancy exposures to PFAS and the later adipokine concentrations, especially of resistin, support the notion that


exposures occurring during early postnatal life may affect important metabolic programming processes. The presence of adipokines in human milk may suggest that breastfeeding can also affect


early metabolic programming,17 and for this reason, sensitivity analyses included adjustment for the duration of breastfeeding. No impact was identified, perhaps because adipokine


concentrations in milk appear to vary and depend on a multitude of factors. Thus, although the transfer of adipokines via milk has been reported, the duration of breastfeeding seems not to


be an important predictor of the child’s serum-adipokine concentrations later on. This issue is of importance, as lactation is a major elimination pathway for maternal PFAS burdens, and


duration of exclusive breastfeeding is a key predictor of the child’s early postnatal exposure, particularly for PFOS and PFOA.5,25 Thus, the differential patterns of PFAS associations with


the adipokines presented in this study likely reflect the changing PFAS exposure profiles early postnatally. Although this is the first study to address PFAS exposures in infancy and their


associations with adipokines measured in later childhood, it had to rely on estimated serum-PFAS concentrations, as infancy serum samples were not available. The use of structural equations


for this purpose has been previously used to link infancy-age PFAS exposures to deficient antibody responses to childhood vaccines later on.7 However, given that the infancy exposures were


estimated and not measured, it was not possible to model the total impact of the PFASs and its temporal variation. As a main finding in this study, the estimated infancy-age PFAS exposures


tended to show stronger associations with the adipokine concentrations at age 9 than did the prenatal exposures, as observed most clearly for resistin. This adipokine seems to modulate


insulin resistance and is linked to both metabolic and cardiovascular disease.34 Still, the PFAS-associated lowering of resistin at age 9 years needs further documentation to allow a more


detailed interpretation. The wide confidence intervals for the estimated exposures (Fig. 1) may hide additional associations, and actual PFAS analyses of infant blood samples in the future


may well result in better precision. Study protocols for new birth cohorts should therefore consider the possible inclusion of blood sampling at early postnatal ages to obtain more accurate


information that may lead to better insight into early-life PFAS exposures and their possible associations with adipokine concentrations and other metabolic markers in later childhood. A


major strength of this study is the prospective study design, which allowed us to examine developmental PFAS exposures in regard to adipokine concentrations in later childhood. Such


associations between variables separated in time likely minimize the possibility of reverse causation. Although some adipokine variables failed to show significant associations with the


exposure data, the uniformly negative tendencies for resistin strongly support the notion that early postnatal PFAS exposure can impact later childhood adipokine status. Early-life exposure


to PFAS is considered of prime toxicological importance,2,3 and the recent guidelines for limiting PFAS exposures in the EU were developed to protect the fetus and the infant as the most


vulnerable population, primarily for immunotoxicity.38 Given that human resistin is involved, e.g., in the regulation of inflammation,39 changes in resistin and perhaps other adipokines may


have implications for metabolic patterns as well as immune functions that both deserve attention concerning possible early postnatal (re)programming affected by PFAS exposure. CONCLUSIONS In


298 children, clear, negative associations were found for their serum-resistin concentrations at age 9 years in regard to estimated infancy-age PFAS exposures; in addition, weak, positive


associations were observed for the age 9 adiponectin concentration. These associations tended to be stronger than those observed with prenatal PFAS exposures; sex dependence of the


associations was not observed. These findings suggest that infancy may represent a vulnerable time window for certain forms of PFAS-associated metabolic programming. DISCLAIMER The authors


are solely responsible for all results and conclusions, which do not necessarily reflect the official position of the National Institute of Environmental Health Sciences of the NIH or any


other funding agency. The use of trade names is for identification only and does not imply any endorsement. DATA AVAILABILITY The dataset analyzed in this study is not publicly available due


to national data security legislation on sensitive personal data. REFERENCES * Barker, D. J. The origins of the developmental origins theory. _J. Intern. Med._ 261, 412–417 (2007). Article


  CAS  PubMed  Google Scholar  * Grandjean, P. et al. Timescales of developmental toxicity impacting on research and needs for intervention. _Basic Clin. Pharm. Toxicol._ 125, 70–80 (2019).


Article  CAS  Google Scholar  * Narciso, L. et al. The Juvenile Toxicity Study as a tool for a science-based risk assessment in the children population group. _Reprod. Toxicol._ 72, 136–141


(2017). Article  CAS  PubMed  Google Scholar  * Heindel, J. J. The developmental basis of disease: update on environmental exposures and animal models. _Basic Clin. Pharm. Toxicol._ 125,


5–13 (2019). Article  CAS  Google Scholar  * Mogensen, U. B., Grandjean, P., Nielsen, F., Weihe, P. & Budtz-Jorgensen, E. Breastfeeding as an exposure pathway for perfluorinated


alkylates. _Environ. Sci. Technol._ 49, 10466–10473 (2015). Article  CAS  PubMed  PubMed Central  Google Scholar  * van Beijsterveldt, I. et al. Poly- and perfluoroalkyl substances (PFAS)


exposure through infant feeding in early life. _Environ. Int._ 164, 107274 (2022). Article  PubMed  Google Scholar  * Grandjean, P. et al. Estimated exposures to perfluorinated compounds in


infancy predict attenuated vaccine antibody concentrations at age 5-years. _J. Immunotoxicol._ 14, 188–195 (2017). Article  CAS  PubMed  PubMed Central  Google Scholar  * Karlsen, M. et al.


Early-life exposures to persistent organic pollutants in relation to overweight in preschool children. _Reprod. Toxicol._ 68, 145–153 (2017). Article  CAS  PubMed  Google Scholar  * Jensen,


R. C. et al. Prenatal exposures to perfluoroalkyl acids and associations with markers of adiposity and plasma lipids in infancy: an Odense Child Cohort Study. _Environ. Health Perspect._


128, 77001 (2020). Article  CAS  PubMed  Google Scholar  * Bloom, M. S. et al. Association between gestational PFAS exposure and children’s adiposity in a diverse population. _Environ. Res._


203, 111820 (2022). Article  CAS  PubMed  Google Scholar  * Jung, U. J. & Choi, M. S. Obesity and its metabolic complications: the role of adipokines and the relationship between


obesity, inflammation, insulin resistance, dyslipidemia and nonalcoholic fatty liver disease. _Int. J. Mol. Sci._ 15, 6184–6223 (2014). Article  PubMed  PubMed Central  Google Scholar  *


Taouis, M. & Benomar, Y. Is resistin the master link between inflammation and inflammation-related chronic diseases? _Mol. Cell Endocrinol._ 533, 111341 (2021). Article  CAS  PubMed 


Google Scholar  * Yeung, E. H., Sundaram, R., Xie, Y. & Lawrence, D. A. Newborn adipokines and early childhood growth. _Pediatr. Obes._ 13, 505–513 (2018). Article  CAS  PubMed  PubMed


Central  Google Scholar  * Buck, C. O. et al. Prenatal exposure to perfluoroalkyl substances and adipocytokines: The Home Study. _Pediatr. Res._ 84, 854–860 (2018). Article  CAS  PubMed 


PubMed Central  Google Scholar  * Ordonez-Diaz, M. D. et al. Plasma adipokines profile in prepubertal children with a history of prematurity or extrauterine growth restriction. _Nutrients_


12, 1201 (2020). Article  CAS  PubMed  PubMed Central  Google Scholar  * Kratzsch, J., Bae, Y. J. & Kiess, W. Adipokines in human breast milk. _Best. Pract. Res Clin. Endocrinol. Metab._


32, 27–38 (2018). Article  CAS  PubMed  Google Scholar  * Badillo-Suarez, P. A., Rodriguez-Cruz, M. & Nieves-Morales, X. Impact of metabolic hormones secreted in human breast milk on


nutritional programming in childhood obesity. _J. Mammary Gland Biol. Neoplasia_ 22, 171–191 (2017). Article  PubMed  Google Scholar  * Fleisch, A. F. et al. Early-life exposure to


perfluoroalkyl substances and childhood metabolic function. _Environ. Health Perspect._ 125, 481–487 (2017). Article  CAS  PubMed  Google Scholar  * Halldorsson, T. I. et al. Prenatal


exposure to perfluorooctanoate and risk of overweight at 20 years of age: a prospective cohort study. _Environ. Health Perspect._ 120, 668–673 (2012). Article  CAS  PubMed  PubMed Central 


Google Scholar  * Minatoya, M. et al. Association of prenatal exposure to perfluoroalkyl substances with cord blood adipokines and birth size: The Hokkaido Study on environment and


children’s health. _Environ. Res._ 156, 175–182 (2017). Article  CAS  PubMed  Google Scholar  * Rifas-Shiman, S. L. et al. First and second trimester gestational weight gains are most


strongly associated with cord blood levels of hormones at delivery important for glycemic control and somatic growth. _Metabolism_ 69, 112–119 (2017). Article  CAS  PubMed  PubMed Central 


Google Scholar  * Ding, J. et al. Associations of perfluoroalkyl substances with adipocytokines in umbilical cord serum: a mixtures approach. _Environ. Res._ 216, 114654 (2022). Article 


PubMed  Google Scholar  * Shelly, C. et al. Early life exposures to perfluoroalkyl substances in relation to adipokine hormone levels at birth and during childhood. _J. Clin. Endocrinol.


Metab._ 104, 5338–5348 (2019). Article  PubMed  PubMed Central  Google Scholar  * Shih, Y. H., Blomberg, A. J., Jorgensen, L. H., Weihe, P. & Grandjean, P. Early-life exposure to


perfluoroalkyl substances in relation to serum adipokines in a longitudinal birth cohort. _Environ. Res._ 204, 111905 (2022). Article  CAS  PubMed  Google Scholar  * Verner, M. A. et al. A


simple pharmacokinetic model of prenatal and postnatal exposure to perfluoroalkyl substances (PFASS). _Environ. Sci. Technol._ 50, 978–986 (2016). Article  CAS  PubMed  Google Scholar  *


Weihe, P. et al. Overview of ongoing cohort and dietary studies in the Arctic. _Int. J. Circumpolar Health_ 75, 33803 (2016). Article  PubMed  Google Scholar  * Eryasa, B. et al.


Physico-chemical properties and gestational diabetes predict transplacental transfer and partitioning of perfluoroalkyl substances. _Environ. Int._ 130, 104874 (2019). Article  CAS  PubMed 


PubMed Central  Google Scholar  * Kratzsch, J. et al. Circulating soluble leptin receptor and free leptin index during childhood, puberty, and adolescence. _J. Clin. Endocrinol. Metab._ 87,


4587–4594 (2002). Article  CAS  PubMed  Google Scholar  * Li, N. et al. Gestational and childhood exposure to per- and polyfluoroalkyl substances and cardiometabolic risk at age 12 years.


_Environ. Int._ 147, 106344 (2021). Article  CAS  PubMed  PubMed Central  Google Scholar  * Domazet, S. L. et al. Exposure to perfluoroalkylated substances (PFAS) in relation to fitness,


physical activity, and adipokine levels in childhood: the European Youth Heart Study. _Environ. Res._ 191, 110110 (2020). Article  CAS  PubMed  Google Scholar  * Holst, K. K. &


Budtz-Jørgensen, E. Linear latent variable models: The Lava-Package. _Comput. Stat._ 28, 1385–1452 (2013). Article  Google Scholar  * Braun, J. M. Early-life exposure to EDCS: role in


childhood obesity and neurodevelopment. _Nat. Rev. Endocrinol._ 13, 161–173 (2017). Article  CAS  PubMed  Google Scholar  * Ouchi, N., Parker, J. L., Lugus, J. J. & Walsh, K. Adipokines


in inflammation and metabolic disease. _Nat. Rev. Immunol._ 11, 85–97 (2011). Article  CAS  PubMed  PubMed Central  Google Scholar  * Park, H. K., Kwak, M. K., Kim, H. J. & Ahima, R. S.


Linking resistin, inflammation, and cardiometabolic diseases. _Korean J. Intern. Med._ 32, 239–247 (2017). Article  CAS  PubMed  PubMed Central  Google Scholar  * Liu, G. et al.


Perfluoroalkyl substances and changes in body weight and resting metabolic rate in response to weight-loss diets: a prospective study. _PLoS Med._ 15, e1002502 (2018). Article  PubMed 


PubMed Central  Google Scholar  * Cardenas, A. et al. Association of perfluoroalkyl and polyfluoroalkyl substances with adiposity. _JAMA Netw. Open_ 1, e181493 (2018). Article  PubMed 


PubMed Central  Google Scholar  * Bassler, J. et al. Environmental perfluoroalkyl acid exposures are associated with liver disease characterized by apoptosis and altered serum


adipocytokines. _Environ. Pollut._ 247, 1055–1063 (2019). Article  CAS  PubMed  PubMed Central  Google Scholar  * European Food Safety Authority. _Vol. EFSA Journal 18(9)_ (ed. Panel on


Contaminants in the Food Chain) (EFSA,, 2020). * Tripathi, D., Kant, S., Pandey, S. & Ehtesham, N. Z. Resistin in metabolism, inflammation, and disease. _FEBS J._ 287, 3141–3149 (2020).


Article  CAS  PubMed  Google Scholar  Download references ACKNOWLEDGEMENTS We are extremely grateful to all the families who took part in this study and the staff and colleagues who helped


during the different phases of the cohort study. FUNDING This work was supported by the National Institute of Environmental Health Sciences (ES026596 and ES027706); the Danish Environmental


Protection Agency as part of the environmental program Danish Cooperation for Environment in the Arctic (DANCEA); and the Faroese Research Council. Open access funding provided by University


Library of Southern Denmark. AUTHOR INFORMATION AUTHORS AND AFFILIATIONS * Department of Environmental Medicine, University of Southern Denmark, Odense, Denmark Philippe Grandjean & 


Flemming Nielsen * Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA Philippe Grandjean * Department of Biomedical and Pharmaceutical


Sciences, University of Rhode Island, Kingston, RI, 02881, USA Philippe Grandjean & Yu-Hsuan Shih * Department of Clinical Biochemistry, Odense University Hospital and Institute of


Clinical Research, University of Southern Denmark, Odense, Denmark Louise Helskov Jørgensen * Department of Occupational Medicine and Public Health, Faroese Hospital System, Torshavn, Faroe


Islands Pál Weihe * Center of Health Science, University of the Faroe Islands, Torshavn, Faroe Islands Pál Weihe * Section of Biostatistics, Department of Public Health, University of


Copenhagen, Copenhagen, Denmark Esben Budtz-Jørgensen Authors * Philippe Grandjean View author publications You can also search for this author inPubMed Google Scholar * Yu-Hsuan Shih View


author publications You can also search for this author inPubMed Google Scholar * Louise Helskov Jørgensen View author publications You can also search for this author inPubMed Google


Scholar * Flemming Nielsen View author publications You can also search for this author inPubMed Google Scholar * Pál Weihe View author publications You can also search for this author


inPubMed Google Scholar * Esben Budtz-Jørgensen View author publications You can also search for this author inPubMed Google Scholar CONTRIBUTIONS P.G., Y.-H.S. and E.B.-J. conceived the


idea for this manuscript. P.W. supervised the clinical examinations. F.N. determined the PFAS concentrations and L.H.J. measured the adipokines in the blood samples. Y.-H.S., E.B.-J. and


P.G. conducted the statistical analysis. P.G. wrote the first draft, and all authors contributed to the final version. CORRESPONDING AUTHOR Correspondence to Philippe Grandjean. ETHICS


DECLARATIONS COMPETING INTERESTS P.G. has provided paid expert assistance in legal cases involving PFAS-exposed populations. All other authors declare that they have no known competing


financial interests or personal relationships that could have appeared to influence the work reported in this paper. ETHICS APPROVAL AND CONSENT TO PARTICIPATE All participants provided


assent at the age 9 visit, and a parent provided informed consent. ADDITIONAL INFORMATION PUBLISHER’S NOTE Springer Nature remains neutral with regard to jurisdictional claims in published


maps and institutional affiliations. SUPPLEMENTARY INFORMATION SUPPLEMENTARY INFORMATION SUPPLEMENTARY FIGURE RIGHTS AND PERMISSIONS OPEN ACCESS This article is licensed under a Creative


Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the


original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in


the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended


use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit


http://creativecommons.org/licenses/by/4.0/. Reprints and permissions ABOUT THIS ARTICLE CITE THIS ARTICLE Grandjean, P., Shih, YH., Jørgensen, L.H. _et al._ Estimated exposure to


perfluoroalkyl substances during infancy and serum-adipokine concentrations in later childhood. _Pediatr Res_ 94, 1832–1837 (2023). https://doi.org/10.1038/s41390-023-02665-4 Download


citation * Received: 11 June 2022 * Revised: 28 April 2023 * Accepted: 08 May 2023 * Published: 14 June 2023 * Issue Date: November 2023 * DOI: https://doi.org/10.1038/s41390-023-02665-4


SHARE THIS ARTICLE Anyone you share the following link with will be able to read this content: Get shareable link Sorry, a shareable link is not currently available for this article. Copy to


clipboard Provided by the Springer Nature SharedIt content-sharing initiative