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Meta-analysis of microarray datasets for the risk assessment of coplanar polychlorinated biphenyl 77 (PCB77) on human health

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Abstract

Polychlorinated biphenyls (PCBs) are persistent organic compounds that have been banned since 1970s, but continue to contaminate the environment. PCBs are categorized into two structural groups: coplanar and non-coplanar PCBs. The coplanar PCBs are dioxin-like potent toxic compounds. To evaluate their effects on humans, we chose a coplanar PCB77 for data analysis. We performed meta- analysis by integrating datasets via the Rank Product method, and identified 375 up- and 66 down- regulated differentially expressed genes (DEGs). Notably, up-regulated genes were significantly associated with liver and kidney diseases. Using gene ontology enrichment, we found that the up-regulated DEGs were significantly enriched in the apoptotic process (false discovery rate, FDR=1.62e-10) and response to unfolded protein (FDR=7.65e-10). Protein-protein interaction networks identified the hub proteins containing HSP90AB1 and HSPA5. These findings suggest that our DEGs may provide a robust set of genetic markers for PCB77.

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Authors and Affiliations

  1. Department of Life Science, Dongguk University, Pildong 3-ga, Seoul, 04620, Republic of Korea

    Junghyun Jung, Kyoungyoung Hah, Woosuk Lee & Wonhee Jang

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  1. Junghyun Jung
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  2. Kyoungyoung Hah
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  3. Woosuk Lee
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  4. Wonhee Jang
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Correspondence to Wonhee Jang.

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Meta-analysis of microarray datasets for the risk assessment of coplanar polychlorinated biphenyl 77 (PCB77) on human health

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Jung, J., Hah, K., Lee, W. et al. Meta-analysis of microarray datasets for the risk assessment of coplanar polychlorinated biphenyl 77 (PCB77) on human health. Toxicol. Environ. Health Sci. 9, 161–168 (2017). https://doi.org/10.1007/s13530-017-0317-1

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