The EXIMIOUS project-Mapping exposure-induced immune effects: connecting the exposome and the immunome.

IF 3.3 Q2 ENVIRONMENTAL SCIENCES
Steven Ronsmans, Karin Sørig Hougaard, Tim S Nawrot, Michelle Plusquin, François Huaux, María Jesús Cruz, Horatiu Moldovan, Steven Verpaele, Murali Jayapala, Michael Tunney, Stéphanie Humblet-Baron, Hubert Dirven, Unni Cecilie Nygaard, Birgitte Lindeman, Nur Duale, Adrian Liston, Esben Meulengracht Flachs, Kenneth Kastaniegaard, Matthias Ketzel, Julia Goetz, Jeroen Vanoirbeek, Manosij Ghosh, Peter H M Hoet
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引用次数: 6

Abstract

Immune-mediated, noncommunicable diseases-such as autoimmune and inflammatory diseases-are chronic disorders, in which the interaction between environmental exposures and the immune system plays an important role. The prevalence and societal costs of these diseases are rising in the European Union. The EXIMIOUS consortium-gathering experts in immunology, toxicology, occupational health, clinical medicine, exposure science, epidemiology, bioinformatics, and sensor development-will study eleven European study populations, covering the entire lifespan, including prenatal life. Innovative ways of characterizing and quantifying the exposome will be combined with high-dimensional immunophenotyping and -profiling platforms to map the immune effects (immunome) induced by the exposome. We will use two main approaches that "meet in the middle"-one starting from the exposome, the other starting from health effects. Novel bioinformatics tools, based on systems immunology and machine learning, will be used to integrate and analyze these large datasets to identify immune fingerprints that reflect a person's lifetime exposome or that are early predictors of disease. This will allow researchers, policymakers, and clinicians to grasp the impact of the exposome on the immune system at the level of individuals and populations.

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EXIMIOUS项目-暴露诱导免疫效应制图:连接暴露体和免疫组。
免疫介导的非传染性疾病(如自身免疫性疾病和炎症性疾病)是慢性疾病,其中环境暴露与免疫系统之间的相互作用起着重要作用。在欧洲联盟,这些疾病的流行率和社会成本正在上升。EXIMIOUS联盟聚集了免疫学、毒理学、职业健康、临床医学、暴露科学、流行病学、生物信息学和传感器开发方面的专家,将研究11个欧洲研究人群,涵盖整个生命周期,包括产前生活。对暴露体进行表征和量化的创新方法将与高维免疫分型和分析平台相结合,以绘制暴露体诱导的免疫效应(免疫组)。我们将采用两种“中间衔接”的主要方法——一种从接触物开始,另一种从健康影响开始。基于系统免疫学和机器学习的新型生物信息学工具将用于整合和分析这些大型数据集,以识别反映一个人一生暴露或疾病早期预测的免疫指纹。这将使研究人员、政策制定者和临床医生能够在个人和人群水平上掌握暴露体对免疫系统的影响。
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来源期刊
Environmental Epidemiology
Environmental Epidemiology Medicine-Public Health, Environmental and Occupational Health
CiteScore
5.70
自引率
2.80%
发文量
71
审稿时长
25 weeks
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