• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

采用暴露组学方法来理解自然、建筑和社会环境中的暴露因素对心血管疾病的发病、进展及转归的影响。

Use of an Exposome Approach to Understand the Effects of Exposures From the Natural, Built, and Social Environments on Cardio-Vascular Disease Onset, Progression, and Outcomes.

作者信息

Juarez Paul D, Hood Darryl B, Song Min-Ae, Ramesh Aramandla

机构信息

Meharry Medical College, Nashville, TN, United States.

College of Public Health, The Ohio State University, Columbus, OH, United States.

出版信息

Front Public Health. 2020 Aug 12;8:379. doi: 10.3389/fpubh.2020.00379. eCollection 2020.

DOI:10.3389/fpubh.2020.00379
PMID:32903514
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7437454/
Abstract

Obesity, diabetes, and hypertension have increased by epidemic proportions in recent years among African Americans in comparison to Whites resulting in significant adverse cardiovascular disease (CVD) disparities. Today, African Americans are 30% more likely to die of heart disease than Whites and twice as likely to have a stroke. The causes of these disparities are not yet well-understood. Improved methods for identifying underlying risk factors is a critical first step toward reducing Black:White CVD disparities. This article will focus on environmental exposures in the external environment and how they can lead to changes at the cellular, molecular, and organ level to increase the personal risk for CVD and lead to population level CVD racial disparities. The external environment is defined in three broad domains: natural (air, water, land), built (places you live, work, and play) and social (social, demographic, economic, and political). We will describe how environmental exposures in the natural, built, and social environments "get under the skin" to affect gene expression though epigenetic, pan-omics, and related mechanisms that lead to increased risk for adverse CVD health outcomes and population level disparities. We also will examine the important role of metabolomics, proteomics, transcriptomics, genomics, and epigenomics in understanding how exposures in the natural, built, and social environments lead to CVD disparities with implications for clinical, public health, and policy interventions. In this review, we apply an exposome approach to Black:White CVD racial disparities. The exposome is a measure of all the exposures of an individual across the life course and the relationship of those exposures to health effects. The exposome represents the totality of exogenous (external) and endogenous (internal) exposures from conception onwards, simultaneously distinguishing, characterizing, and quantifying etiologic, mediating, moderating, and co-occurring risk and protective factors and their relationship to disease. Specifically, it assesses the biological mechanisms and underlying pathways through which chemical and non-chemical environmental exposures are associated with CVD onset, progression and outcomes. The exposome is a promising approach for understanding the complex relationships among environment, behavior, biology, genetics, and disease phenotypes that underlie population level, Black: White CVD disparities.

摘要

近年来,与白人相比,非裔美国人中肥胖、糖尿病和高血压的发病率呈流行趋势增长,导致了严重的心血管疾病(CVD)差异。如今,非裔美国人死于心脏病的可能性比白人高30%,中风的可能性是白人的两倍。这些差异的原因尚未完全明了。改进识别潜在风险因素的方法是减少黑人与白人之间心血管疾病差异的关键第一步。本文将重点关注外部环境中的环境暴露,以及它们如何导致细胞、分子和器官层面的变化,从而增加个人患心血管疾病的风险,并导致人群层面的心血管疾病种族差异。外部环境分为三大领域:自然环境(空气、水、土地)、建筑环境(居住、工作和娱乐场所)和社会环境(社会、人口、经济和政治)。我们将描述自然环境、建筑环境和社会环境中的环境暴露如何“深入皮肤”,通过表观遗传学、泛组学及相关机制影响基因表达,进而增加不良心血管疾病健康结局的风险和人群层面的差异。我们还将研究代谢组学、蛋白质组学、转录组学、基因组学和表观基因组学在理解自然环境、建筑环境和社会环境中的暴露如何导致心血管疾病差异方面的重要作用,这对临床、公共卫生和政策干预具有启示意义。在本综述中,我们将暴露组方法应用于黑人与白人之间的心血管疾病种族差异研究。暴露组是对个体一生中所有暴露情况及其与健康影响关系的一种衡量。暴露组代表了从受孕开始的所有外源性(外部)和内源性(内部)暴露,同时区分、表征和量化病因、中介、调节和同时出现的风险及保护因素及其与疾病的关系。具体而言,它评估化学和非化学环境暴露与心血管疾病发病、进展和结局相关的生物学机制和潜在途径。暴露组是一种很有前景的方法,有助于理解环境、行为、生物学、遗传学和疾病表型之间的复杂关系,这些关系构成了人群层面黑人与白人之间心血管疾病差异的基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ede8/7437454/7f2fe73e6883/fpubh-08-00379-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ede8/7437454/aaeadd912794/fpubh-08-00379-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ede8/7437454/40b6ab700d4d/fpubh-08-00379-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ede8/7437454/fd2003f3f5c8/fpubh-08-00379-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ede8/7437454/7f2fe73e6883/fpubh-08-00379-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ede8/7437454/aaeadd912794/fpubh-08-00379-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ede8/7437454/40b6ab700d4d/fpubh-08-00379-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ede8/7437454/fd2003f3f5c8/fpubh-08-00379-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ede8/7437454/7f2fe73e6883/fpubh-08-00379-g0004.jpg

相似文献

1
Use of an Exposome Approach to Understand the Effects of Exposures From the Natural, Built, and Social Environments on Cardio-Vascular Disease Onset, Progression, and Outcomes.采用暴露组学方法来理解自然、建筑和社会环境中的暴露因素对心血管疾病的发病、进展及转归的影响。
Front Public Health. 2020 Aug 12;8:379. doi: 10.3389/fpubh.2020.00379. eCollection 2020.
2
[Application of multiomics mass spectrometry in the research of chemical exposome].多组学质谱技术在化学暴露组学研究中的应用
Se Pu. 2024 Feb;42(2):120-130. doi: 10.3724/SP.J.1123.2023.10001.
3
What is new in the exposome?外核组学有哪些新进展?
Environ Int. 2020 Oct;143:105887. doi: 10.1016/j.envint.2020.105887. Epub 2020 Jun 30.
4
Applying an Exposome-wide Association Study (ExWAS) Approach to Latino Cancer Disparities将全暴露组关联研究(ExWAS)方法应用于拉丁裔癌症差异研究
5
The public health exposome: a population-based, exposure science approach to health disparities research.公共卫生暴露组学:一种基于人群的暴露科学方法,用于健康差异研究。
Int J Environ Res Public Health. 2014 Dec 11;11(12):12866-95. doi: 10.3390/ijerph111212866. Print 2014 Dec.
6
Environmental risk factors of type 2 diabetes-an exposome approach.2 型糖尿病的环境风险因素——外显子组研究方法。
Diabetologia. 2022 Feb;65(2):263-274. doi: 10.1007/s00125-021-05618-w. Epub 2021 Nov 18.
7
Questionnaire-based exposome-wide association studies (ExWAS) reveal expected and novel risk factors associated with cardiovascular outcomes in the Personalized Environment and Genes Study.基于问卷的暴露组全基因组关联研究(ExWAS)揭示了与个性化环境和基因研究中心血管结局相关的预期和新的风险因素。
Environ Res. 2022 Sep;212(Pt D):113463. doi: 10.1016/j.envres.2022.113463. Epub 2022 May 20.
8
Applying an Exposome-Wide (ExWAS) Approach to Cancer Research.将全暴露组(ExWAS)方法应用于癌症研究。
Front Oncol. 2018 Aug 27;8:313. doi: 10.3389/fonc.2018.00313. eCollection 2018.
9
The exposome in practice: an exploratory panel study of biomarkers of air pollutant exposure in Chinese people aged 60-69 years (China BAPE Study).实践中的暴露组:一项针对60-69岁中国人空气污染暴露生物标志物的探索性小组研究(中国BAPE研究)
Environ Int. 2021 Dec;157:106866. doi: 10.1016/j.envint.2021.106866. Epub 2021 Sep 12.
10
Applying the exposome concept in birth cohort research: a review of statistical approaches.将暴露组学概念应用于出生队列研究:统计方法综述。
Eur J Epidemiol. 2020 Mar;35(3):193-204. doi: 10.1007/s10654-020-00625-4. Epub 2020 Mar 27.

引用本文的文献

1
One Health and the Exposome: providing insights for wildlife health and reproduction.同一健康与暴露组学:为野生动物健康与繁殖提供见解
F S Rep. 2025 Apr 15;6(Suppl 1):55-62. doi: 10.1016/j.xfre.2025.02.001. eCollection 2025 Apr.
2
Multilevel Racism and Discrimination and Cardiovascular Disease and Related Biopsychosocial Mechanisms: An Integrated Scoping and Literature Review and Future Research Agenda.多层次种族主义与歧视以及心血管疾病和相关生物心理社会机制:一项综合范围界定与文献综述及未来研究议程
Curr Cardiol Rep. 2025 Jun 4;27(1):91. doi: 10.1007/s11886-025-02238-3.
3
Exposomic Determinants of Atherosclerosis: Recent Evidence.

本文引用的文献

1
Cross-omics analysis revealed gut microbiome-related metabolic pathways underlying atherosclerosis development after antibiotics treatment.跨组学分析揭示了抗生素治疗后动脉粥样硬化发展背后与肠道微生物群相关的代谢途径。
Mol Metab. 2020 Jun;36:100976. doi: 10.1016/j.molmet.2020.100976. Epub 2020 Mar 13.
2
Serum metabolites associate with lipid phenotypes among Bogalusa Heart Study participants.血清代谢物与巴格卢萨心脏研究参与者的脂质表型相关。
Nutr Metab Cardiovasc Dis. 2020 May 7;30(5):777-787. doi: 10.1016/j.numecd.2020.01.004. Epub 2020 Jan 21.
3
Novel Findings From a Metabolomics Study of Left Ventricular Diastolic Function: The Bogalusa Heart Study.
动脉粥样硬化的暴露组学决定因素:最新证据
Curr Atheroscler Rep. 2025 Jan 22;27(1):28. doi: 10.1007/s11883-025-01274-2.
4
Association of Cardiovascular Disease and Long-Term Exposure to Fine Particulate Matter (PM) in the Southeastern United States.美国东南部心血管疾病与长期暴露于细颗粒物(PM)的关联。
Atmosphere (Basel). 2021 Jul 23;12(8):1-12. doi: 10.3390/atmos12080947.
5
Health effects of selected environmental Exposomes Across the Life courSe in Indian populations using longitudinal cohort studies: GEOHealth HEALS Study protocol.利用纵向队列研究在印度人群中研究选定环境暴露组对健康的影响:GEOHealth HEALS 研究方案。
BMJ Open. 2024 Nov 1;14(10):e087445. doi: 10.1136/bmjopen-2024-087445.
6
A roadmap to advance exposomics through federation of data.通过数据联合推进暴露组学的路线图。
Exposome. 2023;3(1). doi: 10.1093/exposome/osad010. Epub 2023 Nov 14.
7
Integrating the exposome and one health approach to national health surveillance: an opportunity for Latin American countries in health preventive management.将暴露组学和一种健康方法融入国家健康监测:拉丁美洲国家在健康预防管理方面的机会。
Front Public Health. 2024 Aug 14;12:1376609. doi: 10.3389/fpubh.2024.1376609. eCollection 2024.
8
Social and environmental stressors of cardiometabolic health.社会和环境压力源与心血管代谢健康。
Sci Rep. 2024 Jun 19;14(1):14179. doi: 10.1038/s41598-024-64847-2.
9
External exposome and all-cause mortality in European cohorts: the EXPANSE project.欧洲队列中的外部暴露组与全因死亡率:EXPANSE项目
Front Epidemiol. 2024 May 28;4:1327218. doi: 10.3389/fepid.2024.1327218. eCollection 2024.
10
Geospatial Science for the Environmental Epidemiology of Cancer in the Exposome Era.外核组学时代癌症环境流行病学的地理空间科学
Cancer Epidemiol Biomarkers Prev. 2024 Apr 3;33(4):451-460. doi: 10.1158/1055-9965.EPI-23-1237.
左心室舒张功能代谢组学研究的新发现:博加卢萨心脏研究。
J Am Heart Assoc. 2020 Feb 4;9(3):e015118. doi: 10.1161/JAHA.119.015118. Epub 2020 Jan 29.
4
PM-induced inflammation and lipidome alteration associated with the development of atherosclerosis based on a targeted lipidomic analysis.基于靶向脂质组学分析的 PM 诱导的炎症和脂质组改变与动脉粥样硬化的发展相关。
Environ Int. 2020 Mar;136:105444. doi: 10.1016/j.envint.2019.105444. Epub 2020 Jan 11.
5
Integrative analysis of prognostic biomarkers derived from multiomics panels helps discrimination of chronic kidney disease trajectories in people with type 2 diabetes.基于多组学的预后生物标志物的综合分析有助于鉴别 2 型糖尿病患者慢性肾脏病的轨迹。
Kidney Int. 2019 Dec;96(6):1381-1388. doi: 10.1016/j.kint.2019.07.025. Epub 2019 Aug 30.
6
Identification and Validation of Plasma Metabolomics Reveal Potential Biomarkers for Coronary Heart Disease.血浆代谢组学的鉴定与验证揭示冠心病潜在生物标志物
Int Heart J. 2019 Nov 30;60(6):1387-1397. doi: 10.1536/ihj.19-059. Epub 2019 Oct 31.
7
Proteomics and Metabolomics in Kidney Disease, including Insights into Etiology, Treatment, and Prevention.肾脏病中的蛋白质组学和代谢组学,包括病因、治疗和预防的新见解。
Clin J Am Soc Nephrol. 2020 Mar 6;15(3):404-411. doi: 10.2215/CJN.07420619. Epub 2019 Oct 21.
8
DNA methylation modules associate with incident cardiovascular disease and cumulative risk factor exposure.DNA 甲基化模块与心血管疾病事件和累积风险因素暴露相关。
Clin Epigenetics. 2019 Oct 15;11(1):142. doi: 10.1186/s13148-019-0705-2.
9
Cadmium exposure and methylation differences between Whites and African Americans in the NEST Cohort.NEST队列中白人和非裔美国人之间的镉暴露与甲基化差异。
Environ Epigenet. 2019 Aug 29;5(3):dvz014. doi: 10.1093/eep/dvz014. eCollection 2019 Jul.
10
Association between a urinary biomarker for exposure to PAH and blood level of the acute phase protein serum amyloid A in coke oven workers.焦炉工人尿液中多环芳烃暴露生物标志物与急性期蛋白血清淀粉样 A 水平的关系。
Environ Health. 2019 Sep 2;18(1):81. doi: 10.1186/s12940-019-0523-1.