PMID- 29857236 OWN - NLM STAT- MEDLINE DCOM- 20180924 LR - 20181004 IS - 1090-2414 (Electronic) IS - 0147-6513 (Linking) VI - 160 DP - 2018 Sep 30 TI - A network biology-based approach to evaluating the effect of environmental contaminants on human interactome and diseases. PG - 316-327 LID - S0147-6513(18)30451-2 [pii] LID - 10.1016/j.ecoenv.2018.05.065 [doi] AB - Environmental contaminant exposure can pose significant risks to human health. Therefore, evaluating the impact of this exposure is of great importance; however, it is often difficult because both the molecular mechanism of disease and the mode of action of the contaminants are complex. We used network biology techniques to quantitatively assess the impact of environmental contaminants on the human interactome and diseases with a particular focus on seven major contaminant categories: persistent organic pollutants (POPs), dioxins, polycyclic aromatic hydrocarbons (PAHs), pesticides, perfluorochemicals (PFCs), metals, and pharmaceutical and personal care products (PPCPs). We integrated publicly available data on toxicogenomics, the diseasome, protein-protein interactions (PPIs), and gene essentiality and found that a few contaminants were targeted to many genes, and a few genes were targeted by many contaminants. The contaminant targets were hub proteins in the human PPI network, whereas the target proteins in most categories did not contain abundant essential proteins. Generally, contaminant targets and disease-associated proteins were closely associated with the PPI network, and the closeness of the associations depended on the disease type and chemical category. Network biology techniques were used to identify environmental contaminants with broad effects on the human interactome and contaminant-sensitive biomarkers. Moreover, this method enabled us to quantify the relationship between environmental contaminants and human diseases, which was supported by epidemiological and experimental evidence. These methods and findings have facilitated the elucidation of the complex relationship between environmental exposure and adverse health outcomes. CI - Copyright (c) 2018 Elsevier Inc. All rights reserved. FAU - Iida, M AU - Iida M AD - Department of Bioscience and Bioinformatics, Kyushu Institute of Technology, Iizuka, Fukuoka 820-8502, Japan; Center for Marine Environmental Studies (CMES), Ehime University, Bunkyo-cho 2-5, Matsuyama 790-8577, Japan. Electronic address: iida.midori517@mail.kyutech.jp. FAU - Takemoto, K AU - Takemoto K AD - Department of Bioscience and Bioinformatics, Kyushu Institute of Technology, Iizuka, Fukuoka 820-8502, Japan. Electronic address: takemoto@bio.kyutech.ac.jp. LA - eng PT - Journal Article DEP - 20180529 PL - Netherlands TA - Ecotoxicol Environ Saf JT - Ecotoxicology and environmental safety JID - 7805381 RN - 0 (Cosmetics) RN - 0 (Dioxins) RN - 0 (Environmental Pollutants) RN - 0 (Hydrocarbons, Fluorinated) RN - 0 (Metals) RN - 0 (Pesticides) RN - 0 (Polycyclic Aromatic Hydrocarbons) SB - IM MH - Cosmetics/toxicity MH - Dioxins/toxicity MH - Disease MH - Drug-Related Side Effects and Adverse Reactions MH - Environmental Exposure MH - Environmental Pollutants/*toxicity MH - Humans MH - Hydrocarbons, Fluorinated/toxicity MH - Metals/toxicity MH - Pesticides/toxicity MH - Polycyclic Aromatic Hydrocarbons/toxicity MH - Protein Interaction Maps OTO - NOTNLM OT - Adverse outcomes OT - Environmental contaminants OT - Human interactome OT - Network biology EDAT- 2018/06/02 06:00 MHDA- 2018/09/25 06:00 CRDT- 2018/06/02 06:00 PHST- 2018/01/05 00:00 [received] PHST- 2018/05/07 00:00 [revised] PHST- 2018/05/24 00:00 [accepted] PHST- 2018/06/02 06:00 [pubmed] PHST- 2018/09/25 06:00 [medline] PHST- 2018/06/02 06:00 [entrez] AID - S0147-6513(18)30451-2 [pii] AID - 10.1016/j.ecoenv.2018.05.065 [doi] PST - ppublish SO - Ecotoxicol Environ Saf. 2018 Sep 30;160:316-327. doi: 10.1016/j.ecoenv.2018.05.065. Epub 2018 May 29.