Toxicogenomic analysis of publicly available transcriptomic data can predict food, drugs, and chemical-induced asthma
Received 29 May 2019
Accepted for publication 30 July 2019
Published 26 August 2019 Volume 2019:12 Pages 181—199
Checked for plagiarism Yes
Review by Single-blind
Peer reviewer comments 2
Editor who approved publication: Dr Martin H. Bluth
Mahmood Yaseen Hachim,1 Ibrahim Yaseen Hachim,2 Noha M Elemam,1 Rifat A Hamoudi1–3
1Sharjah Institute for Medical Research, University of Sharjah, Sharjah 27272, United Arab Emirates; 2Department of Clinical Sciences, College of Medicine, University of Sharjah, Sharjah 27272, United Arab Emirates; 3Division of Surgery and Interventional Science, University College London, London, UK
Correspondence: Mahmood Yaseen Hachim
Sharjah Institute for Medical Research, University of Sharjah, Sharjah 27272, United Arab Emirates
Tel +971 50 945 2674
Rifat A Hamoudi
Department of Clinical Sciences, College of Medicine, University of Sharjah, Sharjah 27272, United Arab Emirates
Tel +971 56 715 4756
Background: With the increasing incidence of asthma, more attention is focused on the diverse and complex nutritional and environmental triggers of asthma exacerbations. Currently, there are no established risk assessment tools to evaluate asthma triggering potentials of most of the nutritional and environmental triggers encountered by asthmatic patients.
Purpose: The objective of this study is to devise a reliable workflow, capable of estimating the toxicogenomic effect of such factors on key player genes in asthma pathogenesis.
Methods: Gene expression extracted from publicly available datasets of asthmatic bronchial epithelium were subjected to a comprehensive analysis of differential gene expression to identify significant genes involved in asthma development and progression. The identified genes were subjected to Gene Set Enrichment Analysis using a total of 31,826 gene sets related to chemical, toxins, and drugs to identify common agents that share similar asthma-related targets genes and signaling pathways.
Results: Our analysis identified 225 differentially expressed genes between severe asthmatic and healthy bronchial epithelium. Gene Set Enrichment Analysis of the identified genes showed that they are involved in response to toxic substances and organic cyclic compounds and are targeted by 41 specific diets, plants products, and plants related toxins (eg adenine, arachidonic acid, baicalein, caffeic acid, corilagin, curcumin, ellagic acid, luteolin, microcystin-RR, phytoestrogens, protoporphyrin IX, purpurogallin, rottlerin, and salazinic acid). Moreover, the identified chemicals share interesting inflammation-related pathways like NF-κB.
Conclusion: Our analysis was able to explain and predict the toxicity in terms of stimulating the differentially expressed genes between severe asthmatic and healthy epithelium. Such an approach can pave the way to generate a cost-effective and reliable source for asthma-specific toxigenic reports thus allowing the asthmatic patients, physicians, and medical researchers to be aware of the potential triggering factors with fatal consequences.
Keywords: toxicogenomic, transcriptomic, GSEA, chemical-induced asthma
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