Molecular Signature for Early Detection and Prediction of Polycyclic Aromatic Hydrocarbons in Peripheral Blood
- Authors
- Jung, Kwang Hwa; Noh, Ji Heon; Eun, Jung Woo; Kim, Jeong Kyu; Bae, Hyun Jin; Xie, Hongjian; Jang, Ja-June; Ryu, Jae Chun; Park, Won Sang; Lee, Jung Young; Nam, Suk Woo
- Issue Date
- Jan-2011
- Publisher
- AMER CHEMICAL SOC
- Citation
- ENVIRONMENTAL SCIENCE & TECHNOLOGY, v.45, no.1, pp 300 - 306
- Pages
- 7
- Journal Title
- ENVIRONMENTAL SCIENCE & TECHNOLOGY
- Volume
- 45
- Number
- 1
- Start Page
- 300
- End Page
- 306
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/65036
- DOI
- 10.1021/es101840s
- ISSN
- 0013-936X
1520-5851
- Abstract
- Whole blood is one of the most easily accessible biofluids, and circulating leukocytes would include informative transcripts as a first line of immune defense for many disease processes. To demonstrate that transcriptomic responses of circulating blood cells reflect the exposure to environmental toxicants and the characteristic molecular signatures can discriminate and predict the type of toxicant at an early exposure time, we identified and validated characteristic gene expression profiles of rat whole blood after exposure to polycyclic aromatic hydrocarbons (PAHs). At an early exposure time point, conventional toxicological analysis including changes in the body and organ weight, histopathological examination, and blood biochemical analysis did not reflect any toxicant stresses. However, unsupervised gene expression analysis of blood cells resulted in a characteristic molecular signature for each toxicant Further analysis of multiclassification suggested 220 genes as early detective and surrogate markers for predicting each PAH with 100% accuracy. These findings suggest that the blood expression signature could be used as a predictable and discernible surrogate marker for detection and prediction of PAHs, and the use of these molecular markers may be more widely implemented in combination with more traditional techniques for assessment and prediction of toxicity exposure to PAHs from an environmental aspect
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