Journal of the American Heart Association · 2026
Associations of Plasma Metal Exposure With the Risk and Severity of Acute Coronary Syndrome: Evidence From Epidemiological and Adverse Outcome Pathway Analyses.
СтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Fu Zeyuan, Hua Zhongxia, Huang Ziyang, Song Jiaying, Ren Liwen, Yang Lixue, Guo Huicai, Liu Yi, Li Ang, Li Haoran, Liu Xuehui
Аннотация
BACKGROUND: Evidence links environmental metal exposure to cardiovascular disease, but its association with acute coronary syndrome (ACS) risk and severity remains insufficiently characterized.
METHODS: This case-control study included 413 newly diagnosed patients with ACS and 413 controls matched 1:1 by sex and age (within 5 years). Conditional logistic regression assessed associations between individual plasma metals and ACS risk, and ordinal logistic regression evaluated ACS severity.
RESULTS: Higher plasma zinc and selenium levels were inversely associated with ACS risk, whereas arsenic and lead showed positive associations. The odds ratios for extreme quantiles were 0.44 (95% CI, 0.22-0.89) for zinc, 0.23 (95% CI, 0.11-0.48) for selenium, 1.70 (95% CI, 0.85-3.41) for arsenic, and 2.46 (95% CI, 1.24-4.87) for lead. Monocyte counts partially mediated the selenium-ACS association, whereas lymphocyte counts mediated the lead-ACS association. Regarding disease severity, selenium was inversely associated with Gensini score (odds ratio, 0.57 [95% CI, 0.32-1.02]) and the number of lesioned vessels (odds ratio, 0.51 [95% CI, 0.28-0.91]), whereas copper was positively associated with the number of lesioned vessels (odds ratio, 1.48 [95% CI, 0.81-2.71]). Bayesian kernel machine regression suggested an inverse association between metal mixtures and ACS risk, with no significant association with severity. Adverse outcome pathway analysis implicated inflammation, oxidative stress, and actin cytoskeleton dysregulation as potential mechanisms.
CONCLUSIONS: Plasma metal profiles were associated with ACS occurrence and severity, highlighting potential inflammatory, oxidative, and cytoskeletal mechanisms.
METHODS: This case-control study included 413 newly diagnosed patients with ACS and 413 controls matched 1:1 by sex and age (within 5 years). Conditional logistic regression assessed associations between individual plasma metals and ACS risk, and ordinal logistic regression evaluated ACS severity.
RESULTS: Higher plasma zinc and selenium levels were inversely associated with ACS risk, whereas arsenic and lead showed positive associations. The odds ratios for extreme quantiles were 0.44 (95% CI, 0.22-0.89) for zinc, 0.23 (95% CI, 0.11-0.48) for selenium, 1.70 (95% CI, 0.85-3.41) for arsenic, and 2.46 (95% CI, 1.24-4.87) for lead. Monocyte counts partially mediated the selenium-ACS association, whereas lymphocyte counts mediated the lead-ACS association. Regarding disease severity, selenium was inversely associated with Gensini score (odds ratio, 0.57 [95% CI, 0.32-1.02]) and the number of lesioned vessels (odds ratio, 0.51 [95% CI, 0.28-0.91]), whereas copper was positively associated with the number of lesioned vessels (odds ratio, 1.48 [95% CI, 0.81-2.71]). Bayesian kernel machine regression suggested an inverse association between metal mixtures and ACS risk, with no significant association with severity. Adverse outcome pathway analysis implicated inflammation, oxidative stress, and actin cytoskeleton dysregulation as potential mechanisms.
CONCLUSIONS: Plasma metal profiles were associated with ACS occurrence and severity, highlighting potential inflammatory, oxidative, and cytoskeletal mechanisms.