The mixed effect of Endocrine-Disrupting chemicals on biological age Acceleration: Unveiling the mechanism and potential intervention target

The effect of endocrine disruptors on the cardiovascular system: does sex matter?

Endocrine disruptors (EDs) are environmental chemicals that interfere with hormone function, posing significant risks to human health, including the cardiovascular system. This review comprehensively examines the impact of EDs on cardiovascular health, with a specific focus on sex differences observed in various models. Utilizing in-vitro studies, in vivo animal models, and human clinical data, we delineate how sex-specific hormonal environments influence the cardiovascular effects of ED exposure. In vitro studies highlight cellular and molecular mechanisms that differ between male and female-derived cells. In vivo models reveal distinct physiological responses and susceptibilities to EDs, influenced by sex hormones. Human studies provide epidemiological evidence and clinical observations that underscore the variability in cardiovascular outcomes between men and women. This review underscores the necessity of considering sex as a critical factor in understanding the cardiovascular implications of ED exposure, advocating for gender-specific risk assessment and therapeutic strategies. The findings aim to enhance awareness and inform future research and policy-making to mitigate the adverse cardiovascular effects of EDs across different sexes.

Systemic Inflammation Mediates the Association Between Blood Trihalomethane Concentrations and Cardiovascular Disease in U.S. Individuals Over 45: Insights from NHANES 2005-2012

Trihalomethanes (THMs), the major byproducts of water chlorination which are associated with various adverse health outcomes. However, the relationship of THMs with cardiovascular disease (CVD) in aging populations remains underexplored. We analyzed data from 5,400 participants in the National Health and Nutrition Examination Survey (NHANES) 2005-2012. Associations between blood THM concentrations and CVD were evaluated using weighted multivariable logistic regression. Weighted quantile sum (WQS) regression was applied to identify the most relevant THM components. We also performed mediation analysis to evaluate the role of inflammatory markers, including neutrophil-to-lymphocyte ratio (NLR), white blood cell count (WBC), and systemic inflammation response index (SIRI). Network toxicology analysis was used to explore the biological pathways linking THM exposure, CVD, and aging. Elevated blood concentrations of THMs, particularly chloroform (TCM) and total THMs (TTHMs), were significantly associated with increased odds of CVD. Stratified analyses revealed stronger associations among older adults, males, individuals with higher BMI, and those with hypertension. WQS regression identified TCM as the predominant contributor to the THM-CVD association, accounting for 58.0% of the mixture's effect. Mediation analysis showed that NLR partially mediated the association between TTHMs and CVD, explaining 7.12% of the total effect. Network toxicology analysis highlighted inflammation-related pathways, including the IL-17 signaling pathway, as key mechanisms linking THM exposure, CVD, and aging. Our study revealed elevated blood TCM and TTHM concentrations are associated with increased prevalence of CVD among U.S. adults aged 45 years and older. Network toxicology and mediation analysis suggest that systemic inflammation may play a mediating role in this relationship.

Long-Term High-Altitude Exposure, Accelerated Aging, and Multidimensional Aging-Related Changes

Importance

Exposure to high altitudes elicits multiple adaptive mechanisms that intricately impact the entire body, causing deleterious health outcomes. However, high-altitude exposure effects on accelerated aging and aging-related changes remain uncertain.

Objective

To comprehensively assess the associations of high-altitude exposure with overall aging and related changes and to provide insights into the treatment and prevention of aging-associated deficits in populations living in high-altitude areas.

Design, Setting, and Participants

This population-based cross-sectional study used data from 2 prospective studies in Western China: West China Natural Population Cohort (WCNPCS) and West China Health and Aging Trend (WCHAT). The WCNPCS cohort was constructed from May 2019 to June 2021. Data were collected from participants aged 18 years and older in 4 populous regions (Mianzhu, Longquan, Pidu, and Ganzi) in Sichuan Province. The WCHAT was initiated in 2018 and recruited participants aged 50 years and older from various regions (Sichuan, Yunnan, Guizhou, and Xinjiang). Participants were selected via sequential cluster sampling from the permanent residents of the participating community. Data for the present study were analyzed between March and October 2024.

Exposure

The participants' altitudes were determined using the global Shuttle Radar Topography Mission 4 data based on residential addresses. High-altitude areas refer to regions with altitudes of greater than or equal to 1500 m (4921 feet) above the mean sea level.

Main Outcomes and Measures

Biological aging (BA) and aging acceleration (AA) were measured through the Klemera-Doubal Biological Age (KDM-BA) and PhenoAge methods. Multidimensional aging-related metrics were based on questionnaire, measurement, and self-report.

Results

A total of 9846 participants from the WCNPCS cohort (mean [SD] age, 55.73 [11.06] years; 6730 women [68.35%]) and 3593 participants from the WCHAT cohort (mean [SD] age, 62.27 [8.40] years; 2253 women [62.71%]) were included. The participants living at high altitudes presented increased KDM-BA acceleration by 0.85 years for the WCNPCS cohort and 0.71 years for the WCHAT cohort. The PhenoAge results were similar, with even larger effect sizes (WCNPCS, β, 2.08 years; 95% CI, 1.77-2.39 years; WCHAT, β, 2.23 years; 95% CI, 1.91-2.54 years). The association between high-altitude exposure and biologically accelerated aging was particularly pronounced among smokers. Associations between high-altitude exposure and various multidimensional aging-related metrics were also observed.

Conclusions and Relevance

These findings suggest that extended periods at high altitudes may hasten BA and contribute to the onset of aging-related illnesses. Implementing public health interventions for individuals residing in high-altitude regions may aid in alleviating the disease burden within these communities.

Dietary Diversity Modified the Association of Per- and Polyfluoroalkyl Substances with Accelerated Biological Aging: Evidence from the China National Human Biomonitoring Study

Per- and polyfluoroalkyl substances (PFASs) can impact various systems in the human body. However, their influence on biological aging remains unclear. This study aims to investigate the association between PFASs exposure and biological aging based on data from 9756 participants in the China National Human Biomonitoring Program and assesses the potential moderating effect of Dietary Diversity Score (DDS). Biological age indexes were calculated using the Klemera-Doubal method (KDM) and Mahalanobis distance (MD). The DDS was calculated based on the consumption frequency of 13 food groups over the past 12 months. Most PFASs showed positive associations with KDM-age acceleration (KDM-AA), while no statistically significant associations were observed with MD. The dose-response relationships of PFASs with KDM-AA and MD were steeper at low concentrations of PFASs, and then the slope appeared flat at higher concentrations. The weighted quantile sum revealed positive mixture effects of PFASs on biological aging. PFHpS and PFNA were both major contributors to KDM-AA and MD. DDS appeared to potentially modify the association between PFASs and biological aging. Our findings demonstrate that PFASs were significantly associated with accelerated biological aging, whereas higher DDS mitigates these adverse effects, highlighting the importance of this preventive measure.

Exposome-wide association study of thyroid function using U.S. National Health and Nutrition Examination Survey data

Previous epidemiologic studies examining thyroid function and chemical exposures have typically focused on a single or a limited number of chemical classes, often neglecting the effects of chemical mixtures. This study addressed this gap by exploring the associations between exposure to hundreds of chemicals and thyroid function using an exposome-wide association study (ExWAS) approach and National Health and Nutrition Examination Survey (NHANES) data. We analyzed data from three NHANES cycles (2007-2008, 2009-2010, and 2011-2012), which include measures of thyroid function (free and total triiodothyronine [T3], free and total thyroxine [T4], thyroid-stimulating hormone [TSH]) and chemical biomarker concentrations from 9,082 participants. For adolescents (aged 12-19 years) and adults (aged ≥20 years), we employed multiple regression by accounting for survey weights to identify biomarkers associated with thyroid function test levels and used Bayesian group weighted quantile sum (BGWQS) regression to assess the effects of chemical mixtures on these measurements. After adjusting for multiple comparisons, we found in single exposure scenarios that 44 and 67 biomarkers were associated with at least one thyroid function measure in adolescents and adults, respectively (adjusted p-value <0.05). In scenarios involving mixed chemical exposures, groups such as pesticides, sodium/iodide symporter (NIS) inhibitors, and metals were associated with alterations in thyroid hormones or TSH across both age groups. Volatile organic compounds were specifically linked to lower T4 levels in adolescents, whereas phenols and parabens were associated with lower TSH levels exclusively in adults. Although limited by the cross-sectional data, this study identified chemical biomarkers linked to thyroid function.

Biological age prediction and NAFLD risk assessment: a machine learning model based on a multicenter population in Nanchang, Jiangxi, China

BACKGROUND

The objective was to develop a biological age prediction model (NC-BA) for the Chinese population to enrich the relevant studies in this population. And to investigate the association between accelerated age and NAFLD.

METHODS

On the basis of the physical examination data of people without noninfectious chronic diseases (PWNCDs) in Nanchang, Jiangxi, China, the biological age measurement method was developed via three feature selection methods (all-subset regression, LASSO regression (LR), and recursive feature elimination) and three machine learning algorithms (generalized linear model (GLM), support vector machine, and deep generalized linear model (deep GLM)). Model performance was evaluated by the coefficient of determination (R²) and mean absolute error (MAE). National Health and Nutrition Examination Survey (NHANES) data were used to verify the model's generalizability. The standardized age deviation (SAD) was calculated to explore the associations between age acceleration and the risk of morbidity and mortality from NAFLD.

RESULTS

The physical examination data of 26,356 PWNCDs were collected in Nanchang. Among the 26 biomarkers, 26 and 24 biomarkers were associated with chronological age in the male and female groups, respectively (P < 0.05). The model combining the LR and deep GLM algorithms provided the most accurate measurement of chronological age (r = 0.58, MAE = 5.33) and was named the Nanchang-biological age (NC-BA) model. The generalizability of the NC-BA model was verified in the NHANES dataset (r = 0.57, MAE = 7.12). There was a significant correlation between NC-BA and existing biological age indicators (Klemera-Doubal method biological age (KDM-BA), PhenoAge, and homeostatic dysregulation (HD), r = 0.42-0.66, P < 0.05). The physical examination data of 1,663 and 1,445 patients with NAFLD from the Nanchang population and NHANES, respectively, were obtained. The SAD values of NAFLD patients were significantly greater than those of PWNCDs (P < 0.001). The SAD values of NAFLD patients with younger chronological ages were greater (P < 0.001). Higher SAD values were associated with a greater risk of all-cause mortality (HR = 1.73, P = 0.005).

CONCLUSIONS

This study provides a new model for biological age measurement in the Chinese population. There is a clear link between NAFLD and age acceleration.

Age-Dependent Effects of Butyl Benzyl Phthalate Exposure on Lipid Metabolism and Hepatic Fibrosis in Mice

Endocrine-disrupting chemicals (EDCs), including phthalates, have been implicated in the development of non-alcoholic fatty liver disease (NAFLD) and hepatic fibrosis. This study investigates the age-dependent effects of butyl benzyl phthalate (BBP) exposure on lipid metabolism in the livers of young and aged mice. Young (2-month-old) and aged (20-month-old) male C57BL/6 mice were exposed to BBP through drinking water at a dose of 169 μg/kg/day for 6 and 4 months, respectively. Young mice exposed to BBP showed fatty liver, with downregulation of key fatty acid oxidation genes (CPT1A, CPT1B, CPT2, and Acox1) and elevated pro-inflammatory cytokines (TNF-α and IL-6). In contrast, aged mice exhibited hepatic fibrosis, with increased collagen deposition and upregulation of genes related to fibrosis (Acta2, MMP2, TGF-ß1, and Col1a2), cirrhosis (CXCR4, SOX9, DCN, and MFAP4), and cancer (Bcl2, CDKN2a, c-Myc, and Fn1). Overall, these findings emphasize the importance of age when evaluating the risks of EDC exposure, such as BBP. Future research should focus on understanding the molecular mechanisms behind these age-related differences and explore Grem1 and SOCS3 as potential therapeutic targets for treating EDC-induced and age-related liver diseases.

Phthalates exposure, biological aging, and increased risks of insulin resistance, prediabetes, and diabetes in adults with metabolic dysfunction-associated steatotic liver disease

AIM

To estimate the individual and combined influences of phthalates and biological aging on insulin resistance (IR), prediabetes, and diabetes in population with metabolic dysfunction-associated steatotic liver disease (MASLD).

METHODS

Data on 3,045 US adults with MASLD were collected to outline the individual and mixed effects of urinary phthalate metabolites on prevalent IR, prediabetes, and diabetes by survey-weighted logistic regression and weighted quantile sum (WQS) regression, as well as the interaction effects between phthalates and biological aging.

RESULTS

We discovered positive relationships - odds ratio (OR) and 95 % confidence interval [CI] - of mono-2-ethyl-5-carboxypentyl phthalate 1.147 [1.041;1.264], mono-(2-ethyl-5-hydroxyhexyl) phthalate 1.175 [1.073;1.288], and mono-(2-ethyl-5-oxohexyl) phthalate 1.140 [1.040;1.250] with IR, and of mono-isobutyl phthalate with prediabetes 1.216 [1.064;1.390] (all FDR-adjusted P < 0.05). WQS analyses indicated significantly mixed effects of phthalate metabolites on the elevated risks of IR 1.166 [1.034;1.315], prediabetes 1.194 [1.006;1.416], and diabetes 1.214 [1.026;1.437]. Biological age (BA) and phenotypic age (PA) were positively associated with IR, prediabetes, and diabetes and further significantly interacted with phthalates on the outcomes; typically, compared to participants with low levels of phthalates mixture and PA, those with high levels of phthalates mixture and PA had the highest risks of IR 2.468 [1.474;4.133] (Pinteraction = 0.031), prediabetes 1.975 [1.189;3.278] (Pinteraction = 0.009), and diabetes 6.065 [3.210;11.460] (Pinteraction = 0.013).

CONCLUSION

Phthalates exposure of MASLD adults was related to increased risks of IR, prediabetes, and diabetes, which were interactively aggravated by biological aging. Controlling phthalates exposure and biological aging probably hold significant relevance for the prevention of diabetes in the MASLD population.

The Mediating Role of Body Mass Index in the Association Between Dietary Index for Gut Microbiota and Biological Age: A Study Based on NHANES 2007-2018

OBJECTIVE

The dietary index for gut microbiota (DI-GM) is a newly proposed metric for assessing diet quality, and its relationship with biological age is unclear. We hypothesize that consuming foods conducive to a healthy gut microbiota environment may decelerate aging.

METHODS

This cross-sectional study utilized data from the National Health and Nutrition Examination Survey (NHANES) spanning the years 2007 to 2018. The DI-GM was calculated by averaging the intakes from two 24-h dietary recall interviews. The biological age indicators were assessed using the Klemera-Doubal Method (KDM), phenotypic age (PA), and homeostasis disorder (HD). Logistic regression, restricted cubic splines (RCS), and mediation analysis were employed to explore the association between DI-GM and KDM, PA, and HD.

RESULTS

The study included 20,671 participants. According to the logistic regression model, adjusting for all covariates, a negative association was observed between the DI-GM score and biomarkers of biological aging. Compared to participants in the lowest quartile for DI-GM scores, those in the highest quartile exhibited reduced odds ratio (OR) for all of the biological age indicators, namely biological age assessed via KDM (OR: 0.69, 95% CI: 0.60-0.79), PA (OR: 0.84, 95% CI: 0.73-0.97), and HD (OR: 0.86, 95% CI: 0.76-0.98). Additionally, RCS analysis revealed a nonlinear association between DI-GM and biological age. Mediation analysis showed that the body mass index (BMI) partly mediated the association between DI-GM and biological age.

CONCLUSIONS

Therefore, we concluded that a higher DI-GM score is associated with a lower risk of accelerated aging, with BMI mediating this association. Future research should validate these findings through the use of longitudinal studies.

Association of visceral adiposity index with phenotypic age acceleration: insight from NHANES 1999-2010

BACKGROUND

Obesity correlates with accelerated aging. This study aims to investigate the association between the visceral adiposity index (VAI) and accelerated aging.

METHODS

Biological aging was evaluated by phenotypic age acceleration (PhenoAgeAccel). Utilizing data from the National Health and Nutrition Examination Survey (NHANES) conducted between 1999 and 2010, we employed weighted multivariable logistic regression models, along with subgroup analysis, to examine the association between VAI and PhenoAgeAccel. Moreover, smooth curve fitting was utilized to identify potential nonlinear association, complemented by a two-piece linear regression model to investigate threshold effects.

RESULTS

Of the included 11,340 participants aged 20 years and older, the mean (95% CI) age was 46.569 (45.946, 47.191) years, and 49.189% were male. The mean (95% CI) VAI for all participants was 2.176 (2.114, 2.238), and the mean (95% CI) PhenoAgeAccel was -6.306 (-6.618, -5.994) years. In the fully adjusted model, each incremental unit increase of VAI was associated with a 0.312-year increase in PhenoAgeAccel (β = 0.312, 95% CI: 0.217, 0.408). This positive association was more statistically significant among individuals with cancer. Furthermore, a segmented association was observed between VAI and PhenoAgeAccel, with a turning point identified at 10.543. Below this threshold, VAI exhibited a positive correlation with PhenoAgeAccel (β = 0.617, 95% CI: 0.499, 0.735), while beyond it, the association became nonsignificant.

CONCLUSION

This study demonstrated a positive association between VAI and accelerated aging within a nationally representative population. The findings suggest that controlling adiposity may exert anti-aging effects and help prevent aging-related diseases.

Associations of phthalates with accelerated aging and the mitigating role of physical activity

Phthalates are positioned as potential risk factors for health-related diseases. However, the effects of exposure to phthalates on accelerated aging and the potential modifications of physical activity remain unclear. A total of 2317 participants containing complete study-related information from the National Health and Nutrition Examination Survey 2007-2010 were included in the current study. We used two indicators, the Klemera-Doubal method biological age acceleration (BioAgeAccel) and phenotypic age acceleration (PhenoAgeAccel), to assess the accelerated aging status of the subjects. Multiple linear regression (single pollutant models), weighted quantile sum (WQS) regression, Quantile g-computation, and Bayesian kernel machine regression (BKMR) models were utilized to explore the associations between urinary phthalate metabolites and accelerated aging. Three groups of physical activity with different intensities were used to evaluate the modifying effects on the above associations. Results indicated that most phthalate metabolites were significantly associated with BioAgeAccel and PhenoAgeAccel, with effect values (β) ranging from 0.16 to 0.21 and 0.16-0.37, respectively. The WQS indices were positively associated with BioAgeAccel (0.33, 95% CI: 0.11, 0.54) and PhenoAgeAccel (0.50, 95% CI: 0.19, 0.82). Quantile g-computation indicated that phthalate mixtures were associated with accelerated aging, with effect values of 0.15 (95% CI: 0.02, 0.28) for BioAgeAccel and 0.39 (95% CI: 0.12, 0.67) for PhenoAgeAccel respectively. The BKMR models indicated a significant positive association between the concentrations of urinary phthalate mixtures with the two indicators. In addition, we found that most phthalate metabolites showed the strongest effects on accelerated aging in the no physical activity group and that the effects decreased gradually with increasing levels of physical activity (P < 0.05 for trend). Similar results were also observed in the mixed exposure models (WQS and Quantile g-computation). This study indicates that phthalates exposure is associated with accelerated aging, while physical activity may be a crucial barrier against phthalates exposure-related aging.

Associations between use of chemical hair products and epigenetic age: Findings from the Sister Study

Background

Hair products may be a source of harmful chemicals and have been linked to age-related health outcomes. We investigated whether the use of hair products is related to epigenetic age in a sample of Black (both Hispanic and non-Hispanic) and non-Hispanic White women.

Methods

In a subset of 4358 participants aged 35-74 years from the Sister Study, we estimated cross-sectional associations between self-reported use of four chemical hair products (permanent dye, semipermanent dye, straighteners/relaxers, and hair permanents/body waves) in the year before enrollment (2003-2009) and three DNA methylation-based measures of epigenetic age (DunedinPACE, GrimAge age acceleration [GrimAgeAccel], and PhenoAge age acceleration [PhenoAgeAccel]) using survey-weighted multivariable linear regressions. Associations were estimated both overall and by self-identified race and ethnicity, adjusting for chronological age, socioeconomic and lifestyle factors, body mass index, menopausal status, and DNA methylation platform.

Results

Associations between the use of hair products and the three epigenetic age measures were largely null. Use of hair permanents/body waves was modestly associated with higher DunedinPACE among all participants (βever-never = 0.010; 95% confidence interval [CI] = 0.001, 0.019) and with lower PhenoAgeAccel among Black women (βever-never = -1.53; 95% CI = -2.84, -0.21).

Conclusion

In this US-based study, we found little evidence of associations between chemical hair product use and epigenetic age in Black and non-Hispanic White women. Observed associations were modest and largely not supported by dose-response relationships or were inconsistent across epigenetic age measures. Previously observed associations between chemical hair product use and aging-related health outcomes may not be explained by the biological aging pathways captured by DunedinPACE, GrimAgeAccel, or PhenoAgeAccel. Alternative biological pathways are worth investigating in racially diverse samples.