Literature DB >> 23456664

Blood transcriptomics: applications in toxicology.

Pius Joseph1, Christina Umbright, Rajendran Sellamuthu.   

Abstract

The number of new chemicals that are being synthesized each year has been steadily increasing. While chemicals are of immense benefit to mankind, many of them have a significant negative impact, primarily owing to their inherent chemistry and toxicity, on the environment as well as human health. In addition to chemical exposures, human exposures to numerous non-chemical toxic agents take place in the environment and workplace. Given that human exposure to toxic agents is often unavoidable and many of these agents are found to have detrimental human health effects, it is important to develop strategies to prevent the adverse health effects associated with toxic exposures. Early detection of adverse health effects as well as a clear understanding of the mechanisms, especially at the molecular level, underlying these effects are key elements in preventing the adverse health effects associated with human exposure to toxic agents. Recent developments in genomics, especially transcriptomics, have prompted investigations into this important area of toxicology. Previous studies conducted in our laboratory and elsewhere have demonstrated the potential application of blood gene expression profiling as a sensitive, mechanistically relevant and practical surrogate approach for the early detection of adverse health effects associated with exposure to toxic agents. The advantages of blood gene expression profiling as a surrogate approach to detect early target organ toxicity and the molecular mechanisms underlying the toxicity are illustrated and discussed using recent studies on hepatotoxicity and pulmonary toxicity. Furthermore, the important challenges this emerging field in toxicology faces are presented in this review article.
Copyright © 2013 John Wiley & Sons, Ltd.

Entities:  

Keywords:  blood; hepatotoxicity; liver; lungs; pulmonary toxicity; transcriptomics

Mesh:

Substances:

Year:  2013        PMID: 23456664      PMCID: PMC4550215          DOI: 10.1002/jat.2861

Source DB:  PubMed          Journal:  J Appl Toxicol        ISSN: 0260-437X            Impact factor:   3.446


  72 in total

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2.  Identification of toxicologically predictive gene sets using cDNA microarrays.

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Journal:  J Pediatr Gastroenterol Nutr       Date:  2007-04       Impact factor: 2.839

4.  Changes in expression of onco- and suppressor genes in peripheral leukocytes--as potential biomarkers of chemical carcinogenesis.

Authors:  Z Gyöngyi; I Ember; I Kiss; C Varga
Journal:  Anticancer Res       Date:  2001 Sep-Oct       Impact factor: 2.480

5.  Blood gene expression profiling detects silica exposure and toxicity.

Authors:  Rajendran Sellamuthu; Christina Umbright; Jenny R Roberts; Rebecca Chapman; Shih-Houng Young; Diana Richardson; Howard Leonard; Walter McKinney; Bean Chen; David Frazer; Shengqiao Li; Michael Kashon; Pius Joseph
Journal:  Toxicol Sci       Date:  2011-05-19       Impact factor: 4.849

6.  Oxidative stress in silicosis: evidence for the enhanced clearance of free radicals from whole lungs.

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7.  Moving from external exposure concentration to internal dose: duration extrapolation based on physiologically based pharmacokinetic derived estimates of internal dose.

Authors:  Jane Ellen Simmons; Marina V Evans; William K Boyes
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8.  Identification of characteristic molecular signature for volatile organic compounds in peripheral blood of rat.

Authors:  Jeong Kyu Kim; Kwang Hwa Jung; Ji Heon Noh; Jung Woo Eun; Hyun Jin Bae; Hong Jian Xie; Ja-June Jang; Jae Chun Ryu; Won Sang Park; Jung Young Lee; Suk Woo Nam
Journal:  Toxicol Appl Pharmacol       Date:  2010-10-16       Impact factor: 4.219

9.  Genomic abnormalities in patients with migraine and chronic migraine: preliminary blood gene expression suggests platelet abnormalities.

Authors:  Andrew D Hershey; Yang Tang; Scott W Powers; Marielle A Kabbouche; Donald L Gilbert; Tracy A Glauser; Frank R Sharp
Journal:  Headache       Date:  2004 Nov-Dec       Impact factor: 5.887

10.  Identification of Identical Transcript Changes in Liver and Whole Blood during Acetaminophen Toxicity.

Authors:  Liwen Zhang; Pierre R Bushel; Jeff Chou; Tong Zhou; Paul B Watkins
Journal:  Front Genet       Date:  2012-09-04       Impact factor: 4.599

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  4 in total

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2.  The sbv IMPROVER Systems Toxicology Computational Challenge: Identification of Human and Species-Independent Blood Response Markers as Predictors of Smoking Exposure and Cessation Status.

Authors:  Vincenzo Belcastro; Carine Poussin; Yang Xiang; Maurizio Giordano; Kumar Parijat Tripathi; Akash Boda; Stéphanie Boué; Mario Guarracino; Florian Martin; Manuel C Peitsch; Julia Hoeng; Roberto Romero; Adi L Tarca; Zhongqu Duan; Hao Yang; Xiaofeng Gong; Peixuan Wang; Chenfang Zhang; Wenxin Yang; Omer Sinan Sarac; Ismail Bilgen; Ali Tugrul Balci; Rahul Kumar; Sandeep Kumar Dhanda
Journal:  Comput Toxicol       Date:  2017-07-14

Review 3.  Nutrigenomics of body weight regulation: a rationale for careful dissection of individual contributors.

Authors:  Jaap Keijer; Femke P M Hoevenaars; Arie Nieuwenhuizen; Evert M van Schothorst
Journal:  Nutrients       Date:  2014-10-21       Impact factor: 5.717

4.  Transcriptomic Profile of Whole Blood Cells from Elderly Subjects Fed Probiotic Bacteria Lactobacillus rhamnosus GG ATCC 53103 (LGG) in a Phase I Open Label Study.

Authors:  Gloria Solano-Aguilar; Aleksey Molokin; Christine Botelho; Anne-Maria Fiorino; Bryan Vinyard; Robert Li; Celine Chen; Joseph Urban; Harry Dawson; Irina Andreyeva; Miriam Haverkamp; Patricia L Hibberd
Journal:  PLoS One       Date:  2016-02-09       Impact factor: 3.240

  4 in total

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