Genetic effects of welding fumes on the progression of neurodegenerative diseases

Rana, HK; Akhtar, MR; Ahmed, MB; Liò, P; Quinn, JMW; Huq, F; Moni, MA

Genetic effects of welding fumes on the progression of neurodegenerative diseases

Rana, HK Akhtar, MR Ahmed, MB

Liò, P Quinn, JMW Huq, F Moni, MA

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Publication Type:: Journal Article
Citation:: NeuroToxicology, 2019, 71 pp. 93 - 101
Issue Date:: 2019-03-01

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Field	Value	Language
dc.contributor.author	Rana, HK	en_US
dc.contributor.author	Akhtar, MR	en_US
dc.contributor.author	Ahmed, MB https://orcid.org/0000-0003-4756-595X	en_US
dc.contributor.author	Liò, P	en_US
dc.contributor.author	Quinn, JMW	en_US
dc.contributor.author	Huq, F	en_US
dc.contributor.author	Moni, MA	en_US
dc.date.available	2018-12-05	en_US
dc.date.issued	2019-03-01	en_US
dc.identifier.citation	NeuroToxicology, 2019, 71 pp. 93 - 101	en_US
dc.identifier.issn	0161-813X	en_US
dc.identifier.uri	http://hdl.handle.net/10453/135371
dc.description.abstract	© 2018 Elsevier B.V. Background: Welding involves exposure to fumes, gases and radiant energy that can be hazardous to human health. Welding fumes (WFs) comprise a complex mixture of metallic oxides, silicates and fluorides that may result in different health effects. Inhalation of WFs in large quantities over a long periods may pose a risk of developing neurodegenerative diseases (NDGDs), but the nature of this risk is poorly understood. To address this we performed transcriptomic analysis to identify links between WF exposure and NDGDs. Methods: We developed quantitative frameworks to identify the gene expression relationships of WF exposure and NDGDs. We analyzed gene expression microarray data from fume-exposed tissues and NDGDs including Parkinson's disease (PD), Alzheimer's disease (AD), Lou Gehrig's disease (LGD), Epilepsy disease (ED) and multiple sclerosis disease (MSD) datasets. We constructed disease–gene relationship networks and identified dysregulated pathways, ontological pathways and protein–protein interaction sub-network using multilayer network topology and neighborhood-based benchmarking. Results: We observed that WF associated genes share 18, 16, 13, 19 and 19 differentially expressed genes with PD, AD, LGD, ED and MSD respectively. Gene expression dysregulation along with relationship networks, pathways and ontologic analysis indicate that WFs may be linked to the progression of these NDGDs. Conclusions: Our developed network-based approach to analysis and investigate the genetic effects of welding fumes on PD, AD, LGD, ED and MSD neurodegenerative diseases could be helpful to understand the causal influences of WF exposure for the progression of the NDGDs.	en_US
dc.relation.ispartof	NeuroToxicology	en_US
dc.relation.isbasedon	10.1016/j.neuro.2018.12.002	en_US
dc.subject.classification	Toxicology	en_US
dc.subject.mesh	Humans	en_US
dc.subject.mesh	Neurodegenerative Diseases	en_US
dc.subject.mesh	Disease Progression	en_US
dc.subject.mesh	Air Pollutants, Occupational	en_US
dc.subject.mesh	Gene Expression Profiling	en_US
dc.subject.mesh	Inhalation Exposure	en_US
dc.subject.mesh	Occupational Exposure	en_US
dc.subject.mesh	Signal Transduction	en_US
dc.subject.mesh	Gene Expression	en_US
dc.subject.mesh	Welding	en_US
dc.title	Genetic effects of welding fumes on the progression of neurodegenerative diseases	en_US
dc.type	Journal Article
utslib.citation.volume	71	en_US
utslib.for	1109 Neurosciences	en_US
utslib.for	1115 Pharmacology and Pharmaceutical Sciences	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	71	en_US

Abstract:

© 2018 Elsevier B.V. Background: Welding involves exposure to fumes, gases and radiant energy that can be hazardous to human health. Welding fumes (WFs) comprise a complex mixture of metallic oxides, silicates and fluorides that may result in different health effects. Inhalation of WFs in large quantities over a long periods may pose a risk of developing neurodegenerative diseases (NDGDs), but the nature of this risk is poorly understood. To address this we performed transcriptomic analysis to identify links between WF exposure and NDGDs. Methods: We developed quantitative frameworks to identify the gene expression relationships of WF exposure and NDGDs. We analyzed gene expression microarray data from fume-exposed tissues and NDGDs including Parkinson's disease (PD), Alzheimer's disease (AD), Lou Gehrig's disease (LGD), Epilepsy disease (ED) and multiple sclerosis disease (MSD) datasets. We constructed disease–gene relationship networks and identified dysregulated pathways, ontological pathways and protein–protein interaction sub-network using multilayer network topology and neighborhood-based benchmarking. Results: We observed that WF associated genes share 18, 16, 13, 19 and 19 differentially expressed genes with PD, AD, LGD, ED and MSD respectively. Gene expression dysregulation along with relationship networks, pathways and ontologic analysis indicate that WFs may be linked to the progression of these NDGDs. Conclusions: Our developed network-based approach to analysis and investigate the genetic effects of welding fumes on PD, AD, LGD, ED and MSD neurodegenerative diseases could be helpful to understand the causal influences of WF exposure for the progression of the NDGDs.

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http://hdl.handle.net/10453/135371