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Transcriptional profiling and biological pathway analysis of human equivalence PCB exposure in vitro: Indicator of disease and disorder development in humans.

Authors :
Ghosh, Somiranjan
Mitra, Partha S.
Loffredo, Christopher A.
Trnovec, Tomas
Murinova, Lubica
Sovcikova, Eva
Ghimbovschi, Svetlana
Zang, Shizhu
Hoffman, Eric P.
Dutta, Sisir K.
Source :
Environmental Research. Apr2015, Vol. 138, p202-216. 15p.
Publication Year :
2015

Abstract

Background and aims Our earlier gene-expression studies with a Slovak PCBs-exposed population have revealed possible disease and disorder development in accordance with epidemiological studies. The present investigation aimed to develop an in vitro model system that can provide an indication of disrupted biological pathways associated with developing future diseases, well in advance of the clinical manifestations that may take years to appear in the actual human exposure scenario. Methods We used human Primary Blood Mononuclear Cells (PBMC) and exposed them to a mixture of human equivalence levels of PCBs (PCB-118, -138, -153, -170, -180) as found in the PCBs-exposed Slovak population. The microarray studies of global gene expression were conducted on the Affymetrix platform using Human Genome U133 Plus 2.0 Array along with Ingenuity Pathway Analysis (IPA) to associate the affected genes with their mechanistic pathways. High-throughput qRT-PCR Taqman Low Density Array (TLDA) was done to further validate the selected 6 differentially expressed genes of our interest, viz. , ARNT, CYP2D6, LEPR, LRP12, RRAD, TP53, with a small population validation sample ( n =71). Results Overall, we revealed a discreet gene expression profile in the experimental model that resembled the diseases and disorders observed in PCBs-exposed population studies. The disease pathways included endocrine system disorders, genetic disorders, metabolic diseases, developmental disorders, and cancers, strongly consistent with the evidence from epidemiological studies. Interpretation These gene finger prints could lead to the identification of populations and subgroups at high risk for disease, and can pose as early disease biomarkers well ahead of time, before the actual disease becomes visible. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00139351
Volume :
138
Database :
Academic Search Index
Journal :
Environmental Research
Publication Type :
Academic Journal
Accession number :
101934726
Full Text :
https://doi.org/10.1016/j.envres.2014.12.031