Applying hair exposome for linking environmental exposure to reproductive health: A comprehensive review and research perspective

Ren, Mengyuan; Fang, Mingliang; Liu, Jing; Lu, Qun; Bao, Hongchu; Zhuang, Lili; Meng, Fangang; Pan, Bo; Yan, Lailai; Li, Zhiwen; Xu, Jia; Han, Bin; Bai, Zhipeng; Tian, Chan; Wang, Ying; Wang, Bin

doi:10.1016/j.heha.2023.100086

Cited by 6 publications

(2 citation statements)

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“…This overcomes the limitations of conventional matrices, such as blood and urine, where short half-life of chemicals and their metabolites may lead to increased variability and time-varying measurements, and its suitability for exposure assessment has been previously discussed. − Hair-derived measurements robustly capture the cumulative and average long-term exposure history, offering a stable reflection of individual-level exposures, with preparatory techniques effectively removing interference from external chemicals and extraction methods enhancing trace element recovery . For example, hair analysis has been used successfully to evaluate the exposure to endocrine disrupting chemicals and metals. − Given its low expenses for sampling and the ability to trace comprehensive exposure history, the hair exposome has been applied to evaluate the effects of environmental factors on various areas of health, including reproductive health . The development of advanced statistical methods is required to appropriately analyze these hair-derived measurements and to conduct studies from an exposome perspective.…”

Section: Introductionmentioning

confidence: 99%

“… 8 − 11 Given its low expenses for sampling and the ability to trace comprehensive exposure history, the hair exposome has been applied to evaluate the effects of environmental factors on various areas of health, including reproductive health. 12 The development of advanced statistical methods is required to appropriately analyze these hair-derived measurements and to conduct studies from an exposome perspective.…”

Section: Introductionmentioning

confidence: 99%

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Hair-Derived Exposome Exploration of Cardiometabolic Health: Piloting a Bayesian Multitrait Variable Selection Approach

Wada,

Peng,

Lin

et al. 2024

Environ. Sci. Technol.

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Cardiometabolic health is complex and characterized by an ensemble of correlated and/or co-occurring conditions including obesity, dyslipidemia, hypertension, and diabetes mellitus. It is affected by social, lifestyle, and environmental factors, which in-turn exhibit complex correlation patterns. To account for the complexity of (i) exposure profiles and (ii) health outcomes, we propose to use a multitrait Bayesian variable selection approach and identify a sparse set of exposures jointly explanatory of the complex cardiometabolic health status. Using data from a subset (N = 941 participants) of the nutrition, environment, and cardiovascular health (NESCAV) study, we evaluated the link between measurements of the cumulative exposure to (N = 33) pollutants derived from hair and cardiometabolic health as proxied by up to nine measured traits. Our multitrait analysis showed increased statistical power, compared to single-trait analyses, to detect subtle contributions of exposures to a set of clinical phenotypes, while providing parsimonious results with improved interpretability. We identified six exposures that were jointly explanatory of cardiometabolic health as modeled by six complementary traits, of which, we identified strong associations between hexachlorobenzene and trifluralin exposure and adverse cardiometabolic health, including traits of obesity, dyslipidemia, and hypertension. This supports the use of this type of approach for the joint modeling, in an exposome context, of correlated exposures in relation to complex and multifaceted outcomes.

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