GSTDTAP  > 资源环境科学
DOI10.1289/EHP4200
Linking Bisphenol S to Adverse Outcome Pathways Using a Combined Text Mining and Systems Biology Approach
Carvaillo, Jean-Charles1,2; Barouki, Robert1,2; Coumoul, Xavier1,2; Audouze, Karine1,2
2019-04-01
发表期刊ENVIRONMENTAL HEALTH PERSPECTIVES
ISSN0091-6765
EISSN1552-9924
出版年2019
卷号127期号:4
文章类型Article
语种英语
国家France
英文摘要

BACKGROUND: Available toxicity data can be optimally interpreted if they are integrated using computational approaches such as systems biology modeling. Such approaches are particularly warranted in cases where regulatory decisions have to be made rapidly.


OBJECTIVES: The study aims at developing and applying a new integrative computational strategy to identify associations between bisphenol S (BPS), a substitute for bisphenol A (BPA), and components of adverse outcome pathways (AOPs).


METHODS: The proposed approach combines a text mining (TM) procedure and integrative systems biology to comprehensively analyze the scientific literature to enrich AOPs related to environmental stressors. First, to identify relevant associations between BPS and different AOP components, a list of abstracts was screened using the developed text-mining tool AOP-helpFinder, which calculates scores based on the graph theory to prioritize the findings. Then, to fill gaps between BPS, biological events, and adverse outcomes (AOs), a systems biology approach was used to integrate information from the AOP-Wiki and ToxCast databases, followed by manual curation of the relevant publications.


RESULTS: Links between BPS and 48 AOP key events (KEs) were identified and scored via 31 references. The main outcomes were related to reproductive health, endocrine disruption, impairments of metabolism, and obesity. We then explicitly analyzed co-mention of the terms BPS and obesity by data integration and manual curation of the full text of the publications. Several molecular and cellular pathways were identified, which allowed the proposal of a biological explanation for the association between BPS and obesity.


CONCLUSIONS: By analyzing dispersed information from the literature and databases, our novel approach can identify links between stressors and AOP KEs. The findings associating BPS and obesity illustrate the use of computational tools in predictive toxicology and highlight the relevance of the approach to decision makers assessing substituents to toxic chemicals.


领域资源环境
收录类别SCI-E
WOS记录号WOS:000467131100010
WOS关键词TOXICOLOGY ; GAMMA ; GENE
WOS类目Environmental Sciences ; Public, Environmental & Occupational Health ; Toxicology
WOS研究方向Environmental Sciences & Ecology ; Public, Environmental & Occupational Health ; Toxicology
引用统计
被引频次:73[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/182020
专题资源环境科学
作者单位1.Univ Paris 05, ComUE Sorbonne Paris Cite, Paris, France;
2.Natl Inst Hlth & Med Res, INSERM, UMR S1124, Paris, France
推荐引用方式
GB/T 7714
Carvaillo, Jean-Charles,Barouki, Robert,Coumoul, Xavier,et al. Linking Bisphenol S to Adverse Outcome Pathways Using a Combined Text Mining and Systems Biology Approach[J]. ENVIRONMENTAL HEALTH PERSPECTIVES,2019,127(4).
APA Carvaillo, Jean-Charles,Barouki, Robert,Coumoul, Xavier,&Audouze, Karine.(2019).Linking Bisphenol S to Adverse Outcome Pathways Using a Combined Text Mining and Systems Biology Approach.ENVIRONMENTAL HEALTH PERSPECTIVES,127(4).
MLA Carvaillo, Jean-Charles,et al."Linking Bisphenol S to Adverse Outcome Pathways Using a Combined Text Mining and Systems Biology Approach".ENVIRONMENTAL HEALTH PERSPECTIVES 127.4(2019).
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