Key genes and pathways in measles and their interaction with environmental chemicals

Zhang,Rongqiang; Jiang,Hualin; Li,Fengying; Su,Ning; Ding,Yi; Mao,Xiang; Ren,Dan; Wang,Jing

doi:10.3892/etm.2018.6050

Key genes and pathways in measles and their interaction with environmental chemicals

Authors:
- Rongqiang Zhang
- Hualin Jiang
- Fengying Li
- Ning Su
- Yi Ding
- Xiang Mao
- Dan Ren
- Jing Wang
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Affiliations: Department of Epidemiology and Health Statistics, School of Public Health, Shaanxi University of Chinese Medicine, Xi'an, Shaanxi 712046, P.R. China, Department of Nursing, Health Science Center, Xi'an Jiaotong University, Xi'an, Shaanxi 710061, P.R. China, Immunization Department of Center for Disease Control and Prevention of Xianyang, Xianyang, Shaanxi 712046, P.R. China, Department of Radiation Oncology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi 710032, P.R. China, Department of Pharmacy, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi 710032, P.R. China, GoDaddy Inc, Sunnyvale, CA 95131, USA
Published online on: April 11, 2018 https://doi.org/10.3892/etm.2018.6050
Pages: 4890-4900
Copyright: © Zhang et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

The aim of the present study was to explore key genes that may have a role in the pathology of measles virus infection and to clarify the interaction networks between environmental factors and differentially expressed genes (DEGs). After screening the database of the Gene Expression Omnibus of the National Center for Biotechnology Information, the dataset GSE5808 was downloaded and analyzed. A global normalization method was performed to minimize data inconsistencies and heterogeneity. DEGs during different stages of measles virus infection were explored using R software (v3.4.0). Gene Ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis of the DEGs were performed using Cytoscape 3.4.0 software. A protein‑protein interaction (PPI) network of the DEGs was obtained from the STRING database v9.05. A total of 43 DEGs were obtained from four analyzed sample groups, including 10 highly expressed genes and 33 genes with decreased expression. The most enriched pathways based on KEGG analysis were fatty acid elongation, cytokine‑cytokine receptor interaction and RNA degradation. The genes mentioned in the PPI network were mainly associated with protein binding and chemokine activity. A total of 219 chemicals were identified that may, jointly or on their own, interact with the 6 DEGs between the control group and patients with measles (at hospital entry), including benzo(a)pyrene (BaP) and tetrachlorodibenzodioxin (TCDD). In conclusion, the present study revealed that chemokines and environmental chemicals, e.g. BaP and TCDD, may affect the development of measles.

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