Determinants of exposure to endocrine disruptors following hurricane Harvey

Samon, Samantha M.; Rohlman, Diana; Tidwell, Lane G.; Hoffman, Peter D.; Oluyomi, Abiodun; Walker, Cheryl L.; Bondy, Melissa L.; Anderson, Kimberly A.

doi:10.1016/j.envres.2022.114867

Cited by 6 publications

(3 citation statements)

References 58 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In epidemiology, endocrine disruption is one of the most commonly considered modes of action, with the definition of chemical mixture based solely on shared effects on the endocrine system (i.e., a category of chemicals identified as a chemical mixture). 12 Endocrine disruption can be an unintended effect of fire retardants, food packaging, food, or cosmetics. Other examples of shared mode of action are chemicals that result in oxidative stress, mutations, inflammation, or genotoxicity.…”

Section: Discussionmentioning

confidence: 99%

Evaluating Chemical Mixtures in Epidemiological Studies to Inform Regulatory Decisions

Savitz

Hattersley

2023

Environ Health Perspect

View full text Add to dashboard Cite

Section: Discussionmentioning

confidence: 99%

Evaluating Chemical Mixtures in Epidemiological Studies to Inform Regulatory Decisions

Savitz

Hattersley

2023

Environ Health Perspect

View full text Add to dashboard Cite

“…As the technology grows in popularity and laboratories become more established in the methodology, many studies such as the OR and NY datasets presented here and other studies (e.g. [33]) are reaching sample sizes where ML is a viable option. One limitation of ML is that a majority of methods require no missing values, requiring researchers to again consider and establish best practices when dealing with missing observations due to being below LOD, MI, etc., for wristband data.…”

Section: Utilizing Machine Learningmentioning

confidence: 99%

Expanding the access of wearable silicone wristbands in community-engaged research through best practices in data analysis and integration

Bramer,

Dixon,

Degnan

et al. 2023

Preprint

View full text Add to dashboard Cite

Wearable silicone wristbands are a rapidly growing exposure assessment technology that offer researchers the ability to study previously inaccessible cohorts and have the potential to provide a more comprehensive picture of chemical exposure within diverse communities. However, there are no established best practices for analyzing the data within a study or across multiple studies, thereby limiting impact and access of these data for larger meta-analyses. We utilize data from three studies, from over 600 wristbands worn by participants in New York City and Eugene, Oregon, to present a first-of-its-kind manuscript detailing wristband data properties. We further discuss and provide concrete examples of key areas and considerations in common statistical modeling methods where best practices must be established to enable meta-analyses and integration of data from multiple studies. Finally, we detail important and challenging aspects of machine learning, meta-analysis, and data integration that researchers will face in order to extend beyond the limited scope of individual studies focused on specific populations.

show abstract

“…Persistent exposure to EDC can disrupt homeostasis in the body and creates oxidative stress that can lead to aging and chronic inflammation [2]. These characteristics were also found to be significant in the observation of telomere length, which is a measure of aging [3]. As aging is a complex process influenced by genetic, environmental, and lifestyle factors, changes in endogenous hormone levels are part of this intricate interplay.…”

Section: Introductionmentioning

confidence: 99%

Tobacco Smoking as an EDC in Aging

Lee,

Na,

Chang

et al. 2024

Preprint

View full text Add to dashboard Cite

Tobacco smoke is an environmental mixture including polycyclic aromatic hydrocarbons and may interfere in endocrine system as an EDC in aging. Thus, we performed a molecular epidemiological approach with in-depth biological monitoring of combustible cigarette smoking among adolescents and adults in South Korea (N=620) with exposure biomarkers, i.e., exhaled CO, urinary cotinine, t,t-muconic acid (TTMA), malondialdehyde (MDA), and obtained information of their lifestyle and tobacco addiction status. We also diagnosed the genetic polymorphisms on the 96 SNPs for tobacco-metabolism, -addiction, and expression differences and compared mtDNA abnormalities in buccal and blood cells. As results, there were positive associations among the above tobacco exposure biomarkers. Man or youth smokers showed high frequency in some of mtDNA alteration, such as ‘SNPs for inconsistent bases between buccal and blood cells’. Among the SNPs, the polymorphisms on SULT1A1, DRD2, and ADH1B were related to multi-exposure biomarkers. Interestingly, youth showed similar levels of urinary TTMA and MDA to adults, although their pack-year was approx. 1/6 volume of that of adults. We also observed the negative association between urinary MDA levels and the growth rate in the adolescents (p<0.05). In conclusion, the present biological monitoring provides high susceptible population, i.e., adolescents rather than adults, and reliable genetic factors affecting tobacco exposure. The inferred environment-gene-gene interaction suggests tobacco smoking accelerats aging in adolescents as an EDC.

show abstract

Determinants of exposure to endocrine disruptors following hurricane Harvey

Cited by 6 publications

References 58 publications

Evaluating Chemical Mixtures in Epidemiological Studies to Inform Regulatory Decisions

Evaluating Chemical Mixtures in Epidemiological Studies to Inform Regulatory Decisions

Expanding the access of wearable silicone wristbands in community-engaged research through best practices in data analysis and integration

Tobacco Smoking as an EDC in Aging

Contact Info

Product

Resources

About